Sex specific molecular networks and key drivers of Alzheimer’s disease
Open accessAbstract
Background: Alzheimer’s disease (AD) is a progressive and age-associated neurodegenerative disorder that affects women disproportionally. However, the underlying mechanisms are poorly characterized. Moreover, while the interplay between sex and ApoE genotype in AD has been investigated, multi-omics studies to understand this interaction are limited. Therefore, we applied systems biology approaches to investigate sex-specific molecular networks of AD. Methods: We integrated large-scale human postmortem brain transcriptomic data of AD from two cohorts (MSBB and ROSMAP)via multiscale network analysis and identified key drivers with sexually dimorphic expression patterns and/or different responses to APOE genotypes between sexes. The expression patterns and functional relevance of the top sex-specific network driver of AD were further investigated using postmortem human brain samples and gene perturbation experiments in AD mouse models. Results: Gene expression changes in AD versus control were identified for each sex. Gene co-expression networks were constructed for each sex to identify AD-associated co-expressed gene modules shared by males and females or specific to each sex. Key network regulators were further identified as potential drivers of sex differences in AD development.LRP10 was identified as a top driver of the sex differences in AD pathogenesis and manifestation. Changes of LRP10 expression at the mRNA and protein levels were further validated in human AD brain samples. Gene perturbation experiments in EFAD mouse models demonstrated that LRP10 differentially affected cognitive function and AD pathology in sex- and APOE genotype-specific manners. A comprehensive mapping of brain cells in LRP10 over-expressed (OE) female E4FAD mice suggested neurons and microglia as the most affected cell populations. The female-specific targets of LRP10 identified from the single cell RNA-sequencing (scRNA-seq) data of the LRP10 OE E4FAD mouse brains were significantly enriched in the LRP10-centered subnetworks in female AD subjects, validating LRP10 as a key network regulator of AD in females. Eight LRP10 binding partners were identified by the yeast two-hybrid system screening, and LRP10 over-expression reduced the association of LRP10 with one binding partner CD34. Conclusions: These findings provide insights into key mechanisms mediating sex differences in AD pathogenesis and will facilitate the development of sex- and APOE genotype-specific therapies for AD.
AI snapshot
Written from the paper’s full text.
TL;DR
Integrated sex-specific network analysis of MSBB and ROSMAP postmortem brain transcriptomes identified LRP10 as a top female-specific key driver of Alzheimer’s disease, with validation in human brain and EFAD mouse perturbation showing sex- and APOE-genotype-dependent effects on cognition and pathology. The findings support LRP10-centered mechanisms in female APOE4-related AD.
Key findings
- Sex-specific transcriptomic changes were widespread: female AD versus control had many more DEGs than male AD versus control, and a down-sampled female dataset still yielded >3,000 DEGs; the PHG showed more changes than the PFC. Sex-specific DEGs in advanced AD were not biased toward sex-chromosome genes.
- LRP10 was the top-ranked female key network driver with a score of 0.941. In human PHG, lrp10 mRNA was increased in female APOE4+/- AD versus control (log2FC −0.52 versus −2.17, p < 0.0001) and lower in female versus male APOE4+/- AD (p = 0.016); LRP10 protein was decreased in both female and male APOE4+/- AD versus controls but higher in female versus male AD (log2FC 6.00 versus 5.53, p = 0.02). mRNA and protein were reciprocally correlated (r = −0.42, p = 0.03).
- In female E4FAD mice, LRP10 over-expression rescued NOR preference index (43.5% versus 62.0%, p = 0.026) and discrimination index (−0.13 versus 0.24, p = 0.026), reduced mean plaque area by 58.6% (p = 0.008), increased plaque-associated IBA1+ microglia by 41.5% (p = 0.048), increased IL10 by 26.3% (p = 0.003), decreased IL6 by 10.9% (p = 0.04), reduced total Tau by 49.6% (p = 0.003), oligomer Aβ42 (2.60 versus 2.22 pg/ml, p = 0.04), soluble Aβ42 (65.9 versus 75.7 pg/ml, p = 0.03), and Aβ40 (154.4 versus 175.9 pg/ml, p = 0.003). Male E4FAD showed no functional rescue and had increased oligomer Aβ42 (1.59 versus 2.04 pg/ml, p = 0.02) and plaque burden (p < 0.0001).
- scRNA-seq showed LRP10 over-expression increased neuron proportion in female E4FAD (40.3%) and decreased microglia (20.5%), while male E4FAD showed decreased neurons (12.6%) and increased microglia (46.2%); DAM increased 11.4% in female and decreased 14.1% in male E4FAD. Female-specific LRP10 targets were enriched in female AD LRP10-centered subnetworks (L = 3: adjusted p = 1.21E-07, FE = 1.5; L = 2: adjusted p = 2.9E-04, FE = 1.8), but male targets were not. Yeast two-hybrid identified eight LRP10 binding partners, and LRP10 over-expression reduced its interaction with CD34.
Methods
- Integrated postmortem brain RNA-seq from the MSBB para-hippocampal gyrus and ROSMAP prefrontal cortex (338 samples total; 23,201 genes in MSBB and 16,387 in ROSMAP). Differential expression used limma (FDR < 0.05, fold change > 1.2), with Jonckheere and Spline trend analyses, MEGENA co-expression networks, key driver analysis, and modular differential connectivity.
- Validation used human PHG samples from MSBB/NIH NeuroBioBank, EFAD mouse models (APOE3+/+ or APOE4+/+ knock-in with 5xFAD background), stereotaxic AAV2/9-LRP10 or scramble control into dorsal CA1, NOR and Y-maze behavior, biochemistry/ELISA/immunohistochemistry, bulk and single-cell RNA-seq, yeast two-hybrid screening, and co-immunoprecipitation.
- Statistical analyses included Benjamini–Hochberg FDR, independent-samples t-tests, ANOVA with post-hoc tests, Welch’s corrections, Pearson correlations, and Prism 9.0.
Limitations
- Stated in the paper: future studies are needed to characterize downstream LRP10 signaling and its binding partners; LRP10 knockdown in mice without 5xFAD showed no significant differences (data not shown); male mouse LRP10 targets were not enriched in male human LRP10 subnetworks; human snRNA-seq analyses are ongoing; and involvement of sex-chromosome genes in other brain regions or early/pre-symptomatic AD stages is not excluded.
- Evident from the text: human evidence is largely postmortem transcriptomic/network association, while causal claims rely on mouse LRP10 over-expression; sex differences in LRP10 expression were only seen in APOE4+/- AD subjects; mRNA and protein changes were discordant and the mechanism remains unresolved; and some mouse experiments had small group sizes (e.g., cytokine measurements N = 3–5/group).
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
30 of 46 cited sources checked · 16 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Women with Alzheimer's disease show greater cognitive vulnerability to Alzheimer's disease pathology than men.
“Women with AD show greater cognitive vulnerability to AD pathology, steeper rates of cognitive decline, and faster brain volume loss than men do [4, 5].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [4] Barnes LL, Wilson RS, Bienias JL, Schneider JA, Evans DA, Bennett DA. Sex differences in the clinical manifestations of Alzheimer disease pathology. Arch Gen Psychiatry. 2005;62(6):685–91. source
- cites [5] Mielke MM, Vemuri P, Rocca WA. Clinical epidemiology of Alzheimer’s disease: assessing sex and gender differences. Clin Epidemiol. 2014;6:37–48. source
- Premisecitation
The molecular and cellular mechanisms underlying sex differences in Alzheimer's disease pathogenesis remain poorly understood.
“Despite the continuous effort in the field, the molecular and cellular mechanisms underlying sex differences in AD pathogenesis remain poorly understood [9].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [9] Guo X, Sha Y, Lv W, Pu X, Liu X, Luo Y, et al. Sex differences in rumen fermentation and microbiota of Tibetan goat. Microb Cell Fact. 2022;21(1):55. source
The Introduction and Abstract Background discuss sex differences in Tibetan goat rumen microbiota, fermentation, and gene expression, not Alzheimer’s disease. Searches for Alzheimer’s disease, AD pathogenesis, dementia, and neurodegeneration found no passage addressing whether its sex-specific molecular or cellular mechanisms are poorly understood. (LLM, conf=0.78)
Experimental — accuracy not yet measured
- Premisecitation
Alzheimer's disease affects women disproportionately.
“It affects women disproportionally as manifested in many aspects such as disease prevalence, clinical presentation, neuroimaging studies and treatment responsiveness from clinical trials [1].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [1] Guo L, Zhong MB, Zhang L, Zhang B, Cai D. Sex Differences in Alzheimer's Disease: Insights From the Multiomics Landscape. Biological psychiatry. 2021. source
The Abstract says approximately two-thirds of patients with Alzheimer’s disease are female and reports sex differences in clinical and neuroimaging studies. It does not establish disproportionate treatment responsiveness in women from clinical trials; instead, it says sex-specific trial analyses were performed only occasionally and that sex should be considered when assessing treatment responses. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
The link between Alzheimer's disease and APOE4 is more prominent in women than in men.
“At molecular levels, the link between AD and a genetic risk factor, APOE4 is much more prominent in women than men [7, 8].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [7] Corder EH, Ghebremedhin E, Taylor MG, Thal DR, Ohm TG, Braak H. The biphasic relationship between regional brain senile plaque and neurofibrillary tangle distributions: modification by age, sex, and APOE polymorphism. Ann N Y Acad Sci. 2004;1019:24–8. source
- cites [8] Ungar L, Altmann A, Greicius MD. Apolipoprotein E, gender, and Alzheimer’s disease: an overlooked, but potent and promising interaction. Brain Imaging Behav. 2014;8(2):262–73. source
- Premisecitation
The brain atrophy rate is 1-1.5% faster in women with Alzheimer's disease than in men.
“The brain atrophy rate is 1–1.5% faster in women with AD than that in men [6].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [6] Hua X, Hibar DP, Lee S, Toga AW, Jack CR Jr, Weiner MW, et al. Sex and age differences in atrophic rates: an ADNI study with n=1368 MRI scans. Neurobiol Aging. 2010;31(8):1463–80. source
Results §3.1 reports that atrophic rates were about 1–1.5% per year faster in women than men, and says the analyses included an AD group. It does not assign that precise magnitude specifically to participants with AD; the reported sex effect also covers MCI and control participants. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Premisecitation
Women with Alzheimer's disease show faster brain volume loss than men.
“Women with AD show greater cognitive vulnerability to AD pathology, steeper rates of cognitive decline, and faster brain volume loss than men do [4, 5].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [4] Barnes LL, Wilson RS, Bienias JL, Schneider JA, Evans DA, Bennett DA. Sex differences in the clinical manifestations of Alzheimer disease pathology. Arch Gen Psychiatry. 2005;62(6):685–91. source
- cites [5] Mielke MM, Vemuri P, Rocca WA. Clinical epidemiology of Alzheimer’s disease: assessing sex and gender differences. Clin Epidemiol. 2014;6:37–48. source
- Premisecitation
Women with Alzheimer's disease show steeper rates of cognitive decline than men.
“Women with AD show greater cognitive vulnerability to AD pathology, steeper rates of cognitive decline, and faster brain volume loss than men do [4, 5].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [4] Barnes LL, Wilson RS, Bienias JL, Schneider JA, Evans DA, Bennett DA. Sex differences in the clinical manifestations of Alzheimer disease pathology. Arch Gen Psychiatry. 2005;62(6):685–91. source
- cites [5] Mielke MM, Vemuri P, Rocca WA. Clinical epidemiology of Alzheimer’s disease: assessing sex and gender differences. Clin Epidemiol. 2014;6:37–48. source
- Findingcitation
Fifty-two sex-specific KNDs of AD were also known AD genetic risk factors based on the AlzGene database and the genes identified from a large-scale meta-analysis carried out by the International Genomics of Alzheimer's Project (IGAP).
“Fifty-two sex-specific KNDs of AD were also known AD genetic risk factors based on the AlzGene database and the genes identified from a large-scale meta-analysis carried out by the International Genomics of Alzheimer’s Project (IGAP)”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [46] Bertram L, McQueen MB, Mullin K, Blacker D, Tanzi RE. Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database. Nat Genet. 2007;39(1):17–23. source
- cites [47] Lambert JC, Ibrahim-Verbaas CA, Harold D, Naj AC, Sims R, Bellenguez C, et al. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease. Nat Genet. 2013;45(12):1452–8. source
- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
- Findingown data
The discrimination index studies showed consistent results suggesting that impaired discrimination behaviors in female E4FAD mice were completely rescued by LRP10 OE (discrimination index: -0.13 versus 0.24, p = 0.026).
“Moreover, the discrimination index studies using the differences in exploration times for novel versus familiar object [49] showed consistent results suggesting that impaired discrimination behaviors in female E4FAD mice were completely rescued by LRP10 OE (Fig. 4A, discrimination index: -0.13 versus 0.24, p = 0.026).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [49] Antunes M, Biala G. The novel object recognition memory: neurobiology, test procedure, and its modifications. Cogn Process. 2012;13(2):93–110. source
- Premisecitation
Tau-based brain-region connectivity networks have distinct architectures in males and females.
“a recent study revealed the distinct architectures of tau-based brain-region connectivity networks in males and females”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [59] Shokouhi S, Taylor WD, Albert K, Kang H, Newhouse PA, Alzheimer’s Disease Neuroimaging I. In vivo network models identify sex differences in the spread of tau pathology across the brain. Alzheimers Dement (Amst). 2020;12(1):e12016. source
- Premisecitation
The network architecture of tau-based brain-region connectivity networks in women favors a more rapid spread of neurofibrillary tangles in the brain.
“the network architecture in women favored a more rapid spread of neurofibrillary tangles in the brain [59].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [59] Shokouhi S, Taylor WD, Albert K, Kang H, Newhouse PA, Alzheimer’s Disease Neuroimaging I. In vivo network models identify sex differences in the spread of tau pathology across the brain. Alzheimers Dement (Amst). 2020;12(1):e12016. source
The Abstract’s Discussion says network characteristics in women *may* favor accelerated brain-wide tau spread. The citing sentence removes that uncertainty and presents faster spread as established; the paper’s Discussion also frames the mechanism as a hypothesis, particularly in relation to women with MCI. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Over-expression of LRP10 in human neuroblastoma SH-Sy5y cells led to accelerated APP transport from TGN to the plasma membrane with increased APP maturation and reduced Aβ production.
“Over-expression of LRP10 in human neuroblastoma SH-Sy5y cells led to an accelerated APP transport from TGN to the plasma membrane with increased APP maturation and reduced Aβ production [48].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [48] Brodeur J, Theriault C, Lessard-Beaudoin M, Marcil A, Dahan S, Lavoie C. LDLR-related protein 10 (LRP10) regulates amyloid precursor protein (APP) trafficking and processing: evidence for a role in Alzheimer’s disease. Mol Neurodegener. 2012;7:31. source
The Results report that LRP10 overexpression in SH-SY5Y cells increased the amount of mature APP and reduced Aβ40 production. But they report APP accumulation in the TGN and less APP at the cell surface, suggesting retention rather than accelerated transport to the plasma membrane. Pulse-chase experiments also found similar maturation kinetics, so the increased mature APP does not establish faster maturation. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Premisecitation
LRP10 protein levels were previously shown to be significantly lower in the frontal cortex and hippocampus of AD brains than in controls, with a greater extent of reduction in female AD subjects than in male counterparts.
“The LRP10 protein levels were previously shown to be significantly lower in the frontal cortex and hippocampus of AD brains than those in controls with a greater extent of reduction in female AD subjects than in male counterparts [48].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [48] Brodeur J, Theriault C, Lessard-Beaudoin M, Marcil A, Dahan S, Lavoie C. LDLR-related protein 10 (LRP10) regulates amyloid precursor protein (APP) trafficking and processing: evidence for a role in Alzheimer’s disease. Mol Neurodegener. 2012;7:31. source
- Premisecitation
Discordance or decoupling in mRNA and protein expression of the same genes has been reported in human aging and neurodegenerative disorders such as tauopathy and AD.
“The discordance or decoupling in mRNA and protein expression of the same genes has been reported in studies with human aging [67] and neurodegenerative disorders such as tauopathy [68] and AD [69]”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [67] Wei YN, Hu HY, Xie GC, Fu N, Ning ZB, Zeng R, et al. Transcript and protein expression decoupling reveals RNA binding proteins and miRNAs as potential modulators of human aging. Genome Biol. 2015;16(1):41. source
- cites [68] Mangleburg CG, Wu T, Yalamanchili HK, Guo C, Hsieh YC, Duong DM, et al. Integrated analysis of the aging brain transcriptome and proteome in tauopathy. Mol Neurodegener. 2020;15(1):56. source
- cites [69] Johnson ECB, Carter EK, Dammer EB, Duong DM, Gerasimov ES, Liu Y, et al. Large-scale deep multi-layer analysis of Alzheimer’s disease brain reveals strong proteomic disease-related changes not observed at the RNA level. Nat Neurosci. 2022;25(2):213–25. source
- Findingown data
Gene expression changes in Alzheimer's disease versus control were identified for each sex.
“Gene expression changes in AD versus control were identified for each sex.”
Quote in the paperSubstantial claim - Findingown data
Sex-specific differentially expressed gene signatures did not overlap significantly with those between female Alzheimer's disease and male Alzheimer's disease.
“Further examination of the top DEGs identified among four comparisons (female AD versus female control, male AD versus male control, female AD versus male AD, and female control versus male control) suggested sex-specific DEG signatures (i.e., DEGs between male AD versus male control and DEGs between female AD versus female control) did not overlap significantly with those between female AD versus”
Quote in the paperSubstantial claim - Findingown data
LRP10 over-expression reduced the association of LRP10 with CD34.
“LRP10 over-expression reduced the association of LRP10 with one binding partner CD34.”
Quote in the paperNot a substantial claim - Findingown data
No Y-chromosome gene was differentially expressed between Alzheimer's disease males versus control males in either cohort.
“and there was no Y-chromosome gene differentially expressed between AD males versus control males in either cohort.”
Quote in the paperSubstantial claim - Findingown data
In the para-hippocampal gyrus region, differentially expressed gene signatures from three comparison groups showed significantly enriched Gene Ontology terms and KEGG pathways.
“In the PHG region, DEG signatures generated from three comparison groups (female AD versus female control, male AD versus male control and female AD versus male AD) showed significantly enriched GO terms and KEGG pathways.”
Quote in the paperSubstantial claim - Findingown data
Up-regulated genes in Alzheimer's disease females were associated with biological adhesion, defense and immune responses, and blood vessel development.
“The up-regulated genes in AD females were associated with biological adhesion, defense and immune responses, as well as blood vessel development, while those in males were mostly involved in adhesion and cytoskeleton development (Fig. 1B; Supplemental Table 2).”
Quote in the paperSubstantial claim - Findingown data
Female differentially expressed gene signatures between Alzheimer's disease versus control of the para-hippocampal gyrus and prefrontal cortex were not enriched for X-chromosome genes.
“It was found that the female DEG signatures between AD versus control of the PHG (MSBB cohort) and the PFC (ROSMAP cohort) were not enriched for the X-chromosome genes”
Quote in the paperSubstantial claim - Findingown data
Gene perturbation experiments in EFAD mouse models demonstrated that LRP10 differentially affected cognitive function and Alzheimer's disease pathology in sex- and APOE genotype-specific manners.
“Gene perturbation experiments in EFAD mouse models demonstrated that LRP10 differentially affected cognitive function and AD pathology in sex- and APOE genotype-specific manners.”
Quote in the paperSubstantial claim - Findingown data
Down-regulated differentially expressed genes between female Alzheimer's disease versus female control and between male Alzheimer's disease versus male control were mainly enriched for neuron/synapse functions.
“The down-regulated DEGs between female AD versus female control as well as male AD versus male control were mainly enriched for neuron/synapse functions, whereas the up-regulated DEGs were related to responses to wounding/stimulus and vasculature development (Fig. 1B).”
Quote in the paperSubstantial claim - Findingown data
Eight LRP10 binding partners were identified by yeast two-hybrid system screening.
“Eight LRP10 binding partners were identified by the yeast two-hybrid system screening”
Quote in the paperNot a substantial claim - Findingown data
Up-regulated differentially expressed genes between Alzheimer's disease and control were related to responses to wounding/stimulus and vasculature development.
“The down-regulated DEGs between female AD versus female control as well as male AD versus male control were mainly enriched for neuron/synapse functions, whereas the up-regulated DEGs were related to responses to wounding/stimulus and vasculature development (Fig. 1B).”
Quote in the paperNot a substantial claim - Findingown data
In the MSBB para-hippocampal gyrus RNA-seq data, the female and male differentially expressed gene signatures shared 38 genes, each differentially expressed in Alzheimer's disease in the same direction.
“In the RNA-seq data from the PHG in the MSBB AD cohort, the female and male DEG signatures shared 38 genes and each of which was differentially expressed in AD in the same direction (up or down).”
Quote in the paperSubstantial claim - Findingown data
Changes of LRP10 expression at the mRNA and protein levels were validated in human Alzheimer's disease brain samples.
“Changes of LRP10 expression at the mRNA and protein levels were further validated in human AD brain samples.”
- Also stated in: § Background · plain
“We further validated the changes of LRP10 at the gene and protein expression levels using an independent cohort of postmortem human brain samples from the para-hippocampal gyrus (PHG), a brain region mostly associated with AD pathology [10] to confirm the biological relevance of the findings.”
Quote in the paperSubstantial claim - Also stated in: § Background · plain
- Findingown data
Differentially expressed genes of female Alzheimer's disease versus male Alzheimer's disease significantly overlapped with those between female control versus male control.
“However, the DEGs of female AD versus male AD significantly overlapped with those between female control versus male control, with sex-chromosome linked genes identified as most of the top DEGs (Fig. 1C).”
Quote in the paperSubstantial claim - Findingown data
Key network regulators were identified as potential drivers of sex differences in Alzheimer's disease development.
“Key network regulators were further identified as potential drivers of sex differences in AD development.”
Quote in the paperSubstantial claim - Findingown data
In the ROSMAP cohort, the male and female differentially expressed gene signatures did not share any gene.
“However, in the ROSMAP cohort, the male and female DEG signatures didn’t share any gene.”
Quote in the paperSubstantial claim - Findingown data
Sex-chromosome linked genes were identified as most of the top differentially expressed genes between female Alzheimer's disease versus male Alzheimer's disease and female control versus male control.
“However, the DEGs of female AD versus male AD significantly overlapped with those between female control versus male control, with sex-chromosome linked genes identified as most of the top DEGs (Fig. 1C).”
Quote in the paperSubstantial claim - Findingown data
Up-regulated genes in Alzheimer's disease males were mostly involved in adhesion and cytoskeleton development.
“The up-regulated genes in AD females were associated with biological adhesion, defense and immune responses, as well as blood vessel development, while those in males were mostly involved in adhesion and cytoskeleton development (Fig. 1B; Supplemental Table 2).”
Quote in the paperSubstantial claim - Findingown data
A comprehensive mapping of brain cells in LRP10 over-expressed female E4FAD mice suggested neurons and microglia as the most affected cell populations.
“A comprehensive mapping of brain cells in LRP10 over-expressed (OE) female E4FAD mice suggested neurons and microglia as the most affected cell populations.”
Quote in the paperSubstantial claim - Findingown data
The numbers of up- and down-regulated differentially expressed genes between female Alzheimer's disease versus female control were much larger than those between male Alzheimer's disease versus male control.
“The numbers of up- and down-regulated DEGs between female AD versus female control were much larger than those between male AD versus male control (Fig. 1A).”
Quote in the paperSubstantial claim - Findingown data
Female-specific targets of LRP10 identified from single-cell RNA-sequencing data of LRP10 over-expressed E4FAD mouse brains were significantly enriched in LRP10-centered subnetworks in female Alzheimer's disease subjects.
“The female-specific targets of LRP10 identified from the single cell RNA-sequencing (scRNA-seq) data of the LRP10 OE E4FAD mouse brains were significantly enriched in the LRP10-centered subnetworks in female AD subjects”
Quote in the paperSubstantial claim - Findingown data
Most of the top-ranked modules were mostly enriched for the neuronal and microglia-specific marker signatures.
“Most of the top-ranked modules were mostly enriched for the neuronal and microglia-specific marker signatures”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
- Findingown data
Many neighboring genes of LRP10 in the co-expression network were known AD risk genes, such as CHST3, CLU, CR1, CHD4, ADAM12, and CSF1.
“In addition, many neighboring genes of LRP10 in the co-expression network were known AD risk genes, such as CHST3, CLU, CR1, CHD4, ADAM12, and CSF1”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
- Findingown data
The functional pathways most enriched in the modules of both female and male AD networks from the PHG region in the MSBB cohort include immune system process, nervous system development, oxidative phosphorylation and neurodegenerative disease pathways.
“The functional pathways most enriched in the modules of both female and male AD networks from the PHG region in the MSBB cohort include immune system process, nervous system development, oxidative phosphorylation and neurodegenerative disease (i.e., AD, Parkinson's disease and Huntington’s disease) pathways”
Quote in the paperNot a substantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
- Findingown data
Similar reduction of LRP10 protein expression was seen in the hippocampal brain region of 6-month-old male and female APOE4+/+ mouse models with 5xFAD background (E4FAD) when compared to the levels in littermates of male and female APOE4+/+ mice without 5xFAD background.
“Similar reduction of LRP10 protein expression was seen in the hippocampal brain region of 6-month-old male and female APOE4+/+ mouse models with 5xFAD background (E4FAD in abbreviations) when compared to the levels in littermates of male and female APOE4+/+ mice without 5xFAD background”
Quote in the paperNot a substantial claim - Findingown data
There was a significant increase in IBA1+ microglia recruited around amyloid plaques in female E4FAD LRP10 OE mice when compared to control counterparts (41.5% increase, p = 0.048).
“there was a significant increase in IBA1+ microglia recruited around amyloid plaques in female E4FAD LRP10 OE mice when compared to control counterparts (Fig. 4B; 41.5% increase, p = 0.048)”
Quote in the paperSubstantial claim - Findingown data
When combining data of APOE4−/− and APOE4+/- subjects together, sex differences in lrp10 mRNA and LRP10 protein expression in AD samples become less evident.
“When combining data of APOE4−/− and APOE4+/- subjects together, sex differences in lrp10 mRNA and LRP10 protein expression in AD samples become less evident”
Quote in the paperSubstantial claim - Findingown data
The male gene modules showed either no connectivity changes or LOC in comparison with the female ones.
“the male gene modules showed either no connectivity changes or LOC in comparison with the female ones”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
- Findingown data
There was a reciprocal reduction in levels of proinflammatory cytokine IL-6 in female E4FAD LRP10 OE mice (10.9% decrease, p = 0.04).
“a reciprocal reduction in levels of proinflammatory cytokine IL-6 (Fig. 4D; 10.9% decrease, p = 0.04)”
Quote in the paperNot a substantial claim - Findingown data
Sex differences in lrp10 mRNA and LRP10 protein expression were only seen in APOE4+/- AD subjects.
“sex differences in lrp10 mRNA and LRP10 protein expression were only seen in APOE4+/- AD subjects”
Quote in the paperSubstantial claim - Findingown data
The plaque quantification analysis showed a 58.6% reduction in mean plaque area measured by μm2 with LRP10 OE when compared to control (p = 0.008).
“The plaque quantification analysis showed a 58.6% reduction in mean plaque area measured by μm2 with LRP10 OE when compared to control (Fig. 4C; p = 0.008).”
Quote in the paperSubstantial claim - Findingown data
Over-expression (OE) of LRP10 in female E4FAD mice rescued cognitive deficits when compared to scramble control counterparts (preference index: 43.5% versus 62.0%, p = 0.026).
“Here we found that over-expression (OE) of LRP10 in female E4FAD mice rescued cognitive deficits when compared to scramble control counterparts (Fig. 4A, preference index: 43.5% versus 62.0%, p = 0.026).”
Quote in the paperSubstantial claim - Findingown data
In both the female and male networks, the astrocytic, endothelial and microglial modules (e.g., M16, M201, M483) were positively correlated with clinical and pathological traits like CDR, plaque burden and Braak stage.
“the astrocytic, endothelial and microglial modules (e.g., M16, M201, M483) were positively correlated with these traits, consistent with their enrichment of the up-regulated genes in AD”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
- Findingown data
Lrp10 mRNA was lower in APOE4+/- female AD brains when compared to APOE4+/- male AD counterparts.
“Lrp10 mRNA was lower in APOE4+/- female AD brains when compared to APOE4+/- male AD counterparts”
Quote in the paperSubstantial claim - Findingown data
Differentially trended gene signatures significantly overlapped with each other.
“As expected, these DTG signatures significantly overlapped with each other (Supplemental Table 3E; Supplemental Fig. 4).”
Quote in the paperNot a substantial claim - Findingown data
The para-hippocampal gyrus brain region showed many more significant transcriptional changes between Alzheimer's disease versus control and between female versus male than the prefrontal cortex.
“When comparing DEGs between AD versus control in each APOE and sex subgroup of the PHG data in the MSBB cohort and the PFC data in the ROSMAP, the PHG brain region showed many more significant transcriptional changes between AD versus control as well as female versus male (Supplemental Figs. 1C and 2A).”
Quote in the paperSubstantial claim - Findingown data
In males, the 1,102 differentially expressed genes in the para-hippocampal gyrus and the 32 differentially expressed genes in the prefrontal cortex shared only one gene.
“In males, the 1,102 DEGs in the PHG and the 32 DEGs in the PFC shared only one gene.”
Quote in the paperSubstantial claim - Findingown data
In the PHG of the MSBB cohort, 5,135 KNDs for 726 modules were identified in the female AD network and 5245 KNDs in 878 modules of the male AD network.
“In the PHG of the MSBB cohort, 5,135 KNDs for 726 modules were identified in the female AD network and 5245 KNDs in 878 modules of the male AD network”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
- Findingown data
Fifteen genes had female positive and male negative correlations.
“15 genes with female positive and male negative correlations”
Quote in the paperSubstantial claim - Findingown data
For APOE genotype based trait-associated genes, 24 genes with opposite trends in the female and male groups were considered potential sex-specific genes for APOE.
“For APOE genotype based TCGs, 24 with oppositive trends in the female and male groups were considered as potential sex-specific genes for APOE”
Quote in the paperSubstantial claim - Findingown data
Most of the sex-specific KNDs were selected by ADTA, which identified KNDs with opposite expression trends in APOE genotypes between female versus male.
“Most of the sex-specific KNDs were selected by ADTA, which identified KNDs with opposite expression trends in APOE genotypes between female versus male.”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
- Findingown data
The second-ranked module (M11) in the female AD network of the PHG region was associated with mitochondrial function and had a gain of connectivity (GOC) (MDC = 1.31, FDR = 0.04) when compared to the male network.
“the second-ranked module (M11) in the female AD network of the PHG region was associated with mitochondrial function which had a gain of connectivity (GOC) (MDC = 1.31, false discovery rate (FDR) = 0.04) when compared to the male network”
Quote in the paperNot a substantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
- Findingown data
No statistically significant differences were seen between scramble and LRP10 over-expressing male E4FAD, male E3FAD mice or female E3FAD mice.
“No statistically significant differences were seen between scramble and LRP10 over-expressing male E4FAD, male E3FAD mice or female E3FAD mice.”
Quote in the paperSubstantial claim - Findingown data
In the LRP10-centered female AD co-expression network, several sex-specific AD KNDs were closely connected to LRP10 with similar expression patterns, i.e., up-regulated in female AD groups.
“In the LRP10-centered female AD co-expression network (Fig. 3A), several sex-specific AD KNDs were closely connected to LRP10 with similar expression patterns, i.e., up-regulated in female AD groups.”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
- Findingown data
There were many more male- and female-specific differentially expressed genes between Alzheimer's disease and control in the para-hippocampal gyrus than in the prefrontal cortex.
“Furthermore, there were many more male- and female-specific DEGs between AD and control in the PHG than the PFC (Supplemental Figs. 2B).”
Quote in the paperSubstantial claim - Findingown data
LRP10 protein levels were significantly decreased in both female and male APOE4+/- AD brains of the PHG region when compared to normal aged controls.
“On the other hand, LRP10 protein levels were significantly decreased in both female and male APOE4+/- AD brains of the PHG region when compared to normal aged controls”
Quote in the paperSubstantial claim - Findingown data
LRP10 OE significantly reduces levels of total Tau in female E4FAD mouse hippocampal brain regions (49.6% reduction, p = 0.003).
“LRP10 OE (Supplemental Fig. 8A: 68.4% increase in LRP10 expression) significantly reduces levels of total Tau (Supplemental Fig. 8B: 49.6% reduction, p = 0.003)”
Quote in the paperSubstantial claim - Findingown data
The cumulative plaque distribution analysis indicated a more dramatic reduction in plaques smaller than 200μm2 with LRP OE.
“The cumulative plaque distribution analysis indicated a more dramatic reduction in plaques smaller than 200μm2 with LRP OE”
Quote in the paperNot a substantial claim - Findingown data
Immunohistochemical analysis of amyloid plaque load and microglia migrated around plaques showed reduced plaque burden in female E4FAD mice with LRP10 OE when compared to control.
“Furthermore, immunohistochemical analysis of amyloid plaque load and microglia migrated around plaques showed reduced plaque burden in female E4FAD mice with LRP10 OE when compared to control”
Quote in the paperSubstantial claim - Findingown data
There were consistent increases in levels of anti-inflammatory cytokine IL10 in female E4FAD LRP10 OE mice (26.3% elevation, p = 0.003).
“consistent increases in levels of anti-inflammatory cytokine IL10 (Fig. 4D; 26.3% elevation p = 0.003, respectively)”
Quote in the paperSubstantial claim - Findingown data
The female gene modules maintained high GOC in comparison with the respective male ones.
“The female gene modules maintained high GOC in comparison with the respective male ones”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
- Findingown data
In both the female and male networks, the top AD associated neuronal modules (e.g., M14, M439 and M166 in the female network) were negatively correlated with clinical and pathological traits like CDR, plaque burden and Braak stage.
“In both the female and male networks, the top AD associated neuronal modules (e.g., M14, M439 and M166 in the female network) were negatively correlated with clinical and pathological traits like clinical dementia rating (CDR), plaque burden and Braak stage etc., consistent with their enrichment of the down-regulated genes in AD”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
- Findingown data
There was a reciprocal correlation between lrp10 mRNA and LRP10 protein expression (r = -0.42, p = 0.03).
“There was a reciprocal correlation between lrp10 mRNA and LRP10 protein expression (Fig. 3E; r = -0.42, p = 0.03)”
Quote in the paperNot a substantial claim - Findingown data
Levels of LRP10 protein were higher in APOE4± female AD brains when compared to APOE4+/- male AD counterparts.
“levels of LRP10 protein were higher in APOE4± female AD brains when compared to APOE4+/- male AD counterparts”
Quote in the paperSubstantial claim - Findingown data
Nine genes had male positive and female negative correlations.
“9 genes with male positive and female negative correlations”
Quote in the paperNot a substantial claim - Findingown data
LRP10 OE reduced the DAM portion in male E4FAD (14.1% decrease).
“LRP10 OE reduced the DAM portion in male E4FAD (14.1% decrease).”
Quote in the paperSubstantial claim - Findingown data
LRP10 OE shows a trend of reduction in pTau levels in female E4FAD mouse hippocampal brain regions (46.4% reduction, p = 0.20).
“with a trend of reduction in pTau levels (Supplemental Fig. 8B: 46.4% reduction, p = 0.20)”
Quote in the paperNot a substantial claim - Findingown data
The clustering analysis identified 6 major brain cell types including neuron, astrocyte, microglia, oligodendrocyte, oligodendrocyte progenitor cell (OPC), and endothelial cell.
“the clustering analysis identified 6 major brain cell types including neuron, astrocyte, microglia, oligodendrocyte, oligodendrocyte progenitor cell (OPC), and endothelial cell”
Quote in the paperSubstantial claim - Findingown data
The down-regulated DEGs in astrocytes from female E4FAD groups had most enriched pathways including responses to stress, regulation of cell killing and cell communication, etc.
“The down-regulated DEGs in astrocytes from female E4FAD groups had most enriched pathways including responses to stress, regulation of cell killing and cell communication, etc.”
Quote in the paperNot a substantial claim - Findingown data
In the co-expression network constructed from female AD brains, MSI1, CDC42EP4, MSN, PXN, ESAM, and CLU were direct neighbors of LRP10.
“In our co-expression network constructed from female AD brains, 6 candidate genes (MSI1, CDC42EP4, MSN, PXN, ESAM and CLU) were direct neighbors of LRP10 (Fig. 3).”
Quote in the paperSubstantial claim - Findingown data
The transcriptome-wide analysis showed that the PHG brain region had much more significant gene expression changes in the DE analyses compared to the PFC region.
“the transcriptome-wide analysis showed that the PHG brain region had much more significant gene expression changes in the DE analyses compared to the PFC region (Fig. 1).”
Quote in the paperSubstantial claim - Findingown data
There were opposite cluster proportion changes with LRP10 OE between female and male E4FAD mice.
“There were opposite cluster proportion changes with LRP10 OE between female and male E4FAD mice”
Quote in the paperSubstantial claim - Findingown data
LRP10 OE expanded the portion of DAM in female E4FAD mice (11.4% increase compared to ctrl).
“LRP10 OE expanded the portion of DAM in female E4FAD mice (11.4% increase compared to ctrl)”
Quote in the paperSubstantial claim - Findingown data
In LRP10 OE E4FAD mouse brains, LRP6 protein expression showed a trend of reduction (17% decrease, p = 0.14) compared to controls.
“with a trend of reduction in LRP6 in the LRP10 OE E4FAD mouse brains when compared to controls (Supplemental Fig. 15D, LRP6: 17% decrease, p = 0.14).”
Quote in the paperNot a substantial claim - Findingown data
In LRP10 OE E4FAD mouse brains, no significant changes were detected in protein expression levels of LRP1, LDLR, or LRP3 compared to controls.
“no significant changes were detected in protein expression levels of other LRP receptors such as LRP1, LDLR, or LRP3”
Quote in the paperNot a substantial claim - Findingown data
LRP10 OE did not induce any statistically significant changes in IL6, pTau, soluble Aβ42 or Aβ40 levels in male E4FAD mouse hippocampal brain regions.
“the immunohistochemical and biochemical analysis of male E4FAD mouse hippocampal brain regions suggested that LRP10 OE did not induce any statistically significant changes in IL6, pTau, soluble Aβ42 or Aβ40 levels”
Quote in the paperSubstantial claim - Findingown data
The subsequent sequence of positive clones and further validation by β-galactosidase assays led to eight unique positive hits including ACBD3, NUCB1, NBR1-v1, YARS2, PLIN3, ApoA2, MCL1 and CD34.
“The subsequent sequence of positive clones and further validation by β-galactosidase assays led to eight unique positive hits including acyl-coA binding domain containing 3 (ACBD3), nucleobindin 1 (NUCB1, also known as calnuc), autophagy cargo receptor (neighbor of BRCA1 gene 1 variant 1, NBR1-v1), tyrosyl-tRNA synthetase 2 (YARS2), perilipin 3 (PLIN3), apolipoprotein A2 (ApoA2), myeloid cell”
Quote in the paperSubstantial claim - Findingown data
Opposite trends of changes in astrocyte and oligodendrocyte proportions were seen in female versus male E4FAD mouse brains with LRP10 OE.
“opposite trends of changes in astrocyte and oligodendrocyte proportions were seen in female versus male E4FAD mouse brains with LRP10 OE”
Quote in the paperSubstantial claim - Findingown data
In female E4FAD mouse brains with LRP10 overexpression, the amount of CD34 that interacted with LRP10 was significantly reduced compared to controls, without changes in total CD34 protein levels.
“The amount of CD34 interacted with LRP10 was significantly reduced in the LRP10 OE mouse brains when compared to controls without any changes in total protein levels (Fig. 6B).”
Quote in the paperSubstantial claim - Findingown data
CD34, NBR1, and ACBD3 were highly enriched in brain endothelial and microglial clusters in scRNA-seq data.
“its binding partners such as CD34, NBR1 and ACBD3 were highly enriched in these brain cell type clusters as well (Fig. 6C and Supplemental Figs. 15B-C)”
Quote in the paperSubstantial claim - Findingown data
A total of 13 positive clones were identified and validated by β-galactosidase assays.
“A total of 13 positive clones were identified and validated by β-galactosidase assays”
Quote in the paperSubstantial claim - Findingown data
The top-ranked co-expressed gene modules in the PHG were associated with nervous system and immune responses.
“the top-ranked co-expressed gene modules in the PHG were associated with nervous system and immune responses (Fig. 2)”
Quote in the paperNot a substantial claim - Findingown data
The sub-clustering analysis identified 4 neuronal subtypes including Glutaminergic neurons, Dopaminergic neurons, and two subtypes of GABAergic neurons (GABAN-T1 and GABAN-T2).
“The sub-clustering analysis was also applied to the neuronal clusters and identified 4 neuronal subtypes including Glutaminergic neurons, Dopaminergic neurons, and two subtypes of GABAergic neurons (GABAN-T1 and GABAN-T2)”
Quote in the paperSubstantial claim - Findingown data
Most DEGs induced by LRP10 over-expression were observed in GABAN-T1 from female and male E4FAD as well as in Glutaminergic neurons from male E3FAD and male E4FAD.
“most DEGs induced by LRP10 over-expression were observed in GABAN-T1 from female and male E4FAD as well as in Glutaminergic neurons from male E3FAD and male E4FAD.”
Quote in the paperSubstantial claim - Findingown data
LRP10 OE induced more gene expression changes in DAM than in homeostatic microglial subclusters.
“LRP10 OE induced more gene expression changes in DAM than in homeostatic microglial subclusters”
Quote in the paperNot a substantial claim - Findingown data
LRP10 OE significantly reduces levels of soluble Aβ42 in female E4FAD mouse hippocampal brain regions (65.9 versus 75.7 pg/ml, p = 0.03).
“soluble Aβ42 (65.9 versus 75.7 pg/ml, p = 0.03)”
Quote in the paperSubstantial claim - Findingown data
In female E4FAD mouse brains with LRP10 overexpression, the amounts of NBR1 or ACBD3 that interacted with LRP10 did not significantly change compared to controls.
“without any significant changes in the amounts of NBR1 or ACBD3 that interacted with LRP10 in the LRP10 OE female E4FAD mouse brains when compared to controls (Fig. 6B).”
Quote in the paperNot a substantial claim - Findingown data
The female-specific LRP10 targets were significantly enriched in the LRP10-centered, L-layer subnetworks of the female AD human brains (L = 4: adjusted p = 1.46E-06, FE = 1.38; L = 3: adjusted p = 1.21E-07, FE = 1.5; L = 2: adjusted p = 2.9E-04, FE = 1.8).
“The female-specific LRP10 targets, which were derived as a union of the DEG signatures in the five brain cell subtypes in the female E3FAD and E4FAD mouse cohorts, were significantly enriched in the LRP10-centered, L-layer subnetworks of the female AD human brains (L = 4: adjusted p = 1.46E-06, fold enrichment (FE) = 1.38; L = 3: adjusted p = 1.21E-07, FE = 1.5; L = 2: adjusted p = 2.9E-04, FE = 1”
Quote in the paperSubstantial claim - Findingown data
In female E4FAD mouse brains with LRP10 overexpression, NBR1 total protein levels were significantly increased compared to controls.
“there was a significant increase in NBR1 total protein levels”
Quote in the paperNot a substantial claim - Findingown data
Sub-clustering of the microglial population identified homeostatic (HAM) versus damage-associated microglia (DAM) sub-clusters based on marker gene signatures.
“Sub-clustering of the microglial population identified homeostatic (HAM) versus damage-associated microglia (DAM) sub-clusters based on marker gene signatures”
Quote in the paperSubstantial claim - Findingown data
The male mouse specific LRP10 targets were not significantly enriched in any LRP10-centered subnetworks in male AD human brains.
“However, the male mouse specific LRP10 targets were not significantly enriched in any LRP10-centered subnetworks in male AD human brains.”
Quote in the paperSubstantial claim - Findingown data
In female E4FAD mouse brains with LRP10 overexpression, ACBD3 total protein levels showed a trend of increase compared to controls.
“a trend of increases in ACBD3 total protein levels”
Quote in the paperNot a substantial claim - Findingown data
No significant differences were seen in APOE levels between scramble versus LRP10 over-expressing female E4FAD mice.
“No significant differences were seen in APOE levels between scramble versus LRP10 over-expressing female E4FAD mice”
Quote in the paperNot a substantial claim - Findingown data
We observed strong brain-region specific, sex-biased gene expression patterns in AD pathogenesis.
“we also observed strong brain-region specific, sex-biased gene expression patterns in AD pathogenesis.”
Quote in the paperSubstantial claim - Findingown data
LRP10 OE significantly reduces levels of Aβ40 in female E4FAD mouse hippocampal brain regions (154.4 versus 175.9 pg/ml, p = 0.003).
“Aβ40 (154.4 versus 175.9 pg/ml, p = 0.003)”
Quote in the paperSubstantial claim - Findingown data
LRP10 was enriched in brain endothelial and microglial clusters in scRNA-seq data.
“While LRP10 was enriched in brain endothelial and microglial clusters”
Quote in the paperSubstantial claim - Findingown data
Our studies identified eight putative binding partners of LRP10.
“our studies identified eight putative binding partners of LRP10 (Fig. 6).”
Quote in the paperSubstantial claim - Findingown data
Immunohistochemical data showed increased microglial recruitment around amyloid plaques.
“consistent immunohistochemical data showing increased microglial recruitment around amyloid plaques (Fig. 4B).”
Quote in the paperSubstantial claim - Findingown data
We identified and validated a top candidate key driver gene LRP10 with high confidence for further study.
“we identified and validated a top candidate key driver gene LRP10 with high confidence for further study.”
Quote in the paperSubstantial claim - Findingown data
LRP10 resides in the module enriched for endothelial and astrocyte marker genes based on cell-type enrichment analysis of bulk RNA-seq analysis of human dataset.
“LRP10 resides in the module enriched for endothelial and astrocyte marker genes based on the cell-type enrichment analysis of bulk RNA-seq analysis of human dataset (Supplemental Table 11).”
Quote in the paperNot a substantial claim - Findingown data
Up-regulation of LRP10 expression showed beneficial effects only in female E4FAD mice but not in male E4FAD mice or E3FAD mice.
“up-regulation of LRP10 expression showed beneficial effects only in female E4FAD mice but not in male E4FAD mice or E3FAD mice (Fig. 4A)”
Quote in the paperSubstantial claim - Findingown data
scRNA-seq analysis identified brain cell type enrichment patterns of LRP10 and its binding partners in microglia and endothelial cells.
“the scRNA-seq analysis identified brain cell type enrichment patterns of LRP10 and its binding partners in microglia and endothelial cells (Fig. 6C)”
Quote in the paperSubstantial claim - Findingown data
Gene perturbation studies of LRP10 expression in AD mouse brains revealed a functional role of LRP10 protein in AD pathogenesis in sex- and APOE genotype-specific manners.
“Gene perturbation studies of LRP10 expression in AD mouse brains revealed a functional role of LRP10 protein in AD pathogenesis in sex- and APOE genotype-specific manners.”
Quote in the paperSubstantial claim - Findingown data
In female and male APOE3 and APOE4 KI mice without 5xFAD background and female and male wildtype mice without 5xFAD background, LRP10 knockdown did not produce any statistically significant difference in cognitive function versus control.
“we did not observe any statistically significant difference between LRP10 KD versus control in these animals (Data not shown).”
Quote in the paperSubstantial claim - Findingown data
scRNA-seq analysis of EFAD mouse brains after LRP10 over-expression indicated cell-type specific changes in neuron and microglia proportion.
“our scRNA-seq analysis of EFAD mouse brains after LRP10 over-expression indicated cell-type specific changes in neuron and microglia proportion (Fig. 5B and Supplemental Figs. 12–14)”
Quote in the paperSubstantial claim - Findingown data
Co-IP studies demonstrated changes in the interaction between LRP10 and CD34 with LRP10 OE.
“Our co-IP studies further demonstrated changes in the interaction between LRP10 and one of its binding partners CD34 with LRP10 OE”
Quote in the paperNot a substantial claim - Interpretationown data
The difference in differentially expressed gene numbers between female and male Alzheimer's disease versus control was unlikely due to under-powered male samples.
“These differences were unlikely due to the under-powered male samples because when we analyzed a down-sampled female dataset, a significantly large number of DEGs between female AD versus female control (> 3,000 DEGs) was again observed with the Principal Component Analysis (PCA) showing many more differences between female AD and control than those between male AD and control (Supplemental Fig. 1”
Quote in the paperSubstantial claim - Interpretationown data
The observed sex-specific differentially expressed genes in Alzheimer's disease were not biased towards sex-chromosome genes in the advanced-stage Alzheimer's disease patients studied in the MSBB and ROSMAP cohorts.
“Therefore, our results suggested that the observed sex-specific DEGs in AD were not biased towards sex-chromosome genes in the advanced stage of AD patients studied in the MSBB and the ROSMAP cohorts.”
Quote in the paperSubstantial claim - Interpretationown data
LRP10 potentially drives sex differences in Alzheimer's disease development, pathogenesis and manifestation.
“LRP10 was identified as a top driver of the sex differences in AD pathogenesis and manifestation.”
Quote in the paperSubstantial claim - Premisecitation
The association of Alzheimer's disease pathology with clinical manifestations is more significant in women than in men.
“The association of AD pathology with clinical manifestations of the disease is also more significant in women than men [4].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [4] Barnes LL, Wilson RS, Bienias JL, Schneider JA, Evans DA, Bennett DA. Sex differences in the clinical manifestations of Alzheimer disease pathology. Arch Gen Psychiatry. 2005;62(6):685–91. source
- Interpretationown data
LRP10 is a key network regulator of Alzheimer's disease in females.
“validating LRP10 as a key network regulator of AD in females.”
- Also stated in: § Background · boosted
“The subsequent gene perturbation experiments in EFAD mouse models further confirmed that LRP10 as a key network regulator of AD in females affected cognitive function and AD-related pathology in sex- and APOE genotype-specific manners.”
Quote in the paperSubstantial claim - Also stated in: § Background · boosted
- Interpretationown data
There are sex- and APOE genotype-specific changes in LRP10 expression in AD.
“Together, these results suggest sex-and APOE genotype-specific changes in LRP10 expression in AD.”
Quote in the paperSubstantial claim - Interpretationreasoning
Sex differential modulation of Alzheimer's disease risk gene expression could potentially impact sex-biased Alzheimer's disease pathogenesis.
“which could potentially impact sex-biased AD pathogenesis.”
Quote in the paperSubstantial claim - Interpretationown data
APOE genotypes play a critical role in driving sex differences in AD gene expression.
“These results suggest that APOE genotypes play a critical role in driving sex differences in AD gene expression.”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
- Interpretationown data
There are sex-biased differences in gene co-regulation in AD.
“suggesting sex-biased differences in gene co-regulation in AD”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
- Interpretationown data
There are brain-region-specific sex-biased gene expression patterns in Alzheimer's disease pathogenesis.
“Together, these results suggested brain region specific sex-biased gene expression patterns in AD pathogenesis.”
Quote in the paperSubstantial claim - Interpretationreasoning
Sex differentially modulates expression patterns of Alzheimer's disease risk genes.
“These results suggested that sex differentially modulates expression patterns of AD risk genes”
Quote in the paperSubstantial claim - Interpretationown data
There are sex-biased differences in mitochondrial perturbation which may contribute to disease pathogenesis.
“suggesting sex-biased differences in mitochondrial perturbation which may contribute to disease pathogenesis”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
- Interpretationreasoning
LRP10 is involved in AD pathogenesis.
“suggesting the involvement of LRP10 in AD pathogenesis”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
- Premisecitation
Risk allele variants at the APOE locus have a stronger effect in females than in males.
“risk allele variants at the APOE locus have a stronger effect in females than in males [60].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [60] Payami H, Montee KR, Kaye JA, Bird TD, Yu CE, Wijsman EM, et al. Alzheimer’s disease, apolipoprotein E4, and gender. JAMA. 1994;271:1316–7. source
- Interpretationown data
LRP10 and its binding partners mediate putative downstream signaling pathways in specific brain cell types that may contribute to AD pathogenesis in female APOE4+/- carriers.
“our data provide mechanistic insights into putative downstream signaling pathway(s) mediated by LRP10 and its binding partners in specific brain cell types that may contribute to AD pathogenesis in female APOE4+/- carriers.”
Quote in the paperSubstantial claim - Premisecitation
CLU is able to bind a variety of physiological ligands, including Aβ, due to its flexible structures.
“With its flexible structures, CLU is able to bind a variety of physiological ligands, including Aβ [64].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [64] Yu JT, Tan L. The role of clusterin in Alzheimer’s disease: pathways, pathogenesis, and therapy. Mol Neurobiol. 2012;45(2):314–26. source
- Premisecitation
MSN protein levels were significantly different between AD and control brains.
“MSN protein levels were significantly different between AD and control brains [65].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [65] Krzyzanowska A, Garcia-Consuegra I, Pascual C, Antequera D, Ferrer I, Carro E. Expression of regulatory proteins in choroid plexus changes in early stages of Alzheimer disease. J Neuropathol Exp Neurol. 2015;74(4):359–69. source
- Interpretationown data
The transcriptomic analysis further demonstrated the differential effects of LRP10 on males and females in the context of AD.
“The transcriptomic analysis further demonstrated the differential effects of LRP10 on males and females in the context of AD.”
Quote in the paperSubstantial claim - Interpretationreasoning
Female-specific AD KNDs such as CDC42EP4, MSN, PXN, and ESAM may also participate in Aβ trafficking and clearing through the same pathway.
“suggesting that these cytoskeleton/adhesion-related genes may also participate in the Aβ trafficking and clearing through the same pathway.”
Quote in the paperSubstantial claim - Interpretationown data
The interaction of LRP10 and its binding partners may have potential roles in regulating brain cell-type specific functions.
“suggesting potential roles for the interaction of LRP10 and its binding partners in regulating brain cell-type specific functions.”
Quote in the paperSubstantial claim - Interpretationown data
Factors other than LRP10 may contribute to the pathogenesis of male ApoE4+/- AD subjects.
“Overall, these results suggest that factors other than LRP10 may contribute to the pathogenesis of male ApoE4+/- AD subjects.”
Quote in the paperSubstantial claim - Premisecitation
By binding to its major receptor LRP2, the CLU-Aβ complex can be eliminated from the brain.
“By binding to its major receptor - LRP2, the CLU-Aβ complex can then be eliminated from the brain [64].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [64] Yu JT, Tan L. The role of clusterin in Alzheimer’s disease: pathways, pathogenesis, and therapy. Mol Neurobiol. 2012;45(2):314–26. source
- Interpretationreasoning
Brain-region specific, sex-biased gene expression patterns may arise from differences in vulnerabilities and/or resilience in different brain regions at different stages of AD development between females and males.
“Such brain-region specific, sex-biased patterns may arise from differences in vulnerabilities and/or resilience in different brain regions at different stages of AD development between females and males.”
Quote in the paperSubstantial claim - Interpretationcitation
The interplay among sex, genetic factors (e.g., APOE variants) and various environmental factors may contribute to brain-region specific, sex-biased gene expression patterns in AD.
“the interplay among sex, genetic factors (e.g., APOE variants) and various environmental factors may contribute to brain-region specific, sex-biased gene expression patterns in AD.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Like LRP2, LRP10 may also be involved in brain Aβ clearing through an LRP10-CLU/Aβ pathway.
“suggests that like LRP2, LRP10 may also be involved in brain Aβ clearing through an LRP10-CLU/Aβ pathway.”
Quote in the paperSubstantial claim - Interpretationown data
The impact of LRP10 on brain cell populations was sex- and APOE genotype-dependent.
“These results demonstrated the impact of LRP10 on brain cell populations was sex- and APOE genotype-dependent.”
Quote in the paperSubstantial claim - Interpretationreasoning
Women may suffer in a greater degree from mitochondrial dysfunction when estrogen levels are significantly reduced after menopause.
“women may suffer in a greater degree from mitochondrial dysfunction when estrogen levels are significantly reduced after menopause.”
Quote in the paperSubstantial claim - Premisecitation
The dynamics of sexually dimorphic hormones such as estrogen may affect different brain regions disproportionally.
“the dynamics of sexually dimorphic hormones such as estrogen [61–63] may affect different brain regions disproportionally.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [61] Shumaker SA, Legault C, Rapp SR, Thal L, Wallace RB, Ockene JK, et al. Estrogen plus progestin and the incidence of dementia and mild cognitive impairment in postmenopausal women: the Women’s Health Initiative Memory Study: a randomized controlled trial. JAMA. 2003;289:2651–62. source
- cites [62] Janicki SC, Park N, Cheng R, Lee JH, Schupf N, Clark LN. Estrogen receptor β variants modify risk for Alzheimer’s disease in a multiethnic female cohort. Journal of Alzheimer’s disease : JAD. 2014;40:83–93. source
- cites [63] Barron AM, Pike CJ. Sex hormones, aging, and Alzheimer’s disease. Front Biosci (Elite Ed). 2012;4:976–97.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The interaction between LRP10 and CD34 may be involved in LRP10-mediated function.
“suggesting a possible involvement of this interaction in the LRP10-mediated function (Fig. 6B).”
Quote in the paperSubstantial claim - Interpretationown data
These results implicate putative roles in AD through regulation of these brain cell-specific functions.
“These results implicate putative roles in AD through regulation of these brain cell-specific functions.”
Quote in the paperNot a substantial claim - Interpretationown data
The discordance between lrp10 mRNA and LRP10 protein expression in APOE4+/- AD brains suggests post-transcriptional and/or post-translational modifications, such as accelerated LRP10 protein degradation with compensatory up-regulation of transcriptional machinery.
“suggesting post-transcriptional and/or post-translational modifications such as a possibility of accelerated LRP10 protein degradation with compensatory up-regulation of transcriptional machinery.”
Quote in the paperSubstantial claim - Interpretationown data
The initial transcriptomic analysis validates the prediction of LRP10 as one key molecular regulator of sex difference in AD based upon a highly integrated network biology analysis of two large-scale multi-omics cohorts in AD.
“validating the prediction of LRP10 as one key molecular regulator of sex difference in AD based upon a highly integrated network biology analysis of two large-scale multi-omics cohorts in AD.”
Quote in the paperSubstantial claim - Interpretationown data
LRP10 as a causal regulator for AD impacts cognition performance and development of AD pathology in sex- and APOE genotype-specific manners.
“supporting the notion that LRP10 as a causal regulator for AD, impacts cognition performance and development of AD pathology in sex- and APOE genotype-specific manners.”
Quote in the paperSubstantial claim - Interpretationown data
LRP10 has potential functional roles in amyloid clearance through modulation of microglial function.
“These results suggest potential functional roles of LRP10 in amyloid clearance through modulation of microglial function.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 22
- May combine two claims. 39
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe lifetime risk for developing Alzheimer's disease is two times higher in women than in men.
“The lifetime risk for developing AD is two times higher in women than men [3].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [3] Chêne G, Beiser A, Au R, Preis SR, Wolf PA, Dufouil C, et al. Gender and incidence of dementia in the Framingham Heart Study from mid-adult life. Alzheimer’s Dementia. 2015;11(3):310–20. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAround two-thirds of all Alzheimer's disease patients in the United States are women.
“Of all AD patients in the United States, around two-thirds are women [2].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [2] Hebert LE, Weuve J, Scherr PA, Evans DA. Alzheimer disease in the United States (2010–2050) estimated using the 2010 census. Neurology. 2013;80(19):1778–83. source
The Results (Table 1; page unavailable) give US Alzheimer disease estimates by age, not by sex. Although the methods describe calculating prevalence by sex, our copy does not report the proportion of patients who are women (searched: women, female, two-thirds, and 66%). (LLM, conf=0.76)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe KND approach has been successfully employed to identify novel pathways and key driver genes of complex human diseases such as AD, Parkinson's disease, melanoma and gastric cancer, and the top drivers predicted for these diseases were experimentally validated in vitro or in vivo.
“This approach has been successfully employed to identify novel pathways and key driver genes of complex human diseases such as AD [22], Parkinson’s disease (PD) [43], melanoma [44] and gastric cancer [45] and notably the top drivers predicted for the abovementioned diseases were experimentally validated in vitro or in vivo.”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [22] Wang M, Beckmann ND, Roussos P, Wang E, Zhou X, Wang Q, et al. The Mount Sinai cohort of large-scale genomic, transcriptomic and proteomic data in Alzheimer’s disease. Sci Data. 2018;5:180185. source
Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [43] Wang Q, Zhang Y, Wang M, Song WM, Shen Q, McKenzie A, et al. The landscape of multiscale transcriptomic networks and key regulators in Parkinson’s disease. Nat Commun. 2019;10(1):5234. source
- cites [44] Song WM, Agrawal P, Von Itter R, Fontanals-Cirera B, Wang M, Zhou X, et al. Network models of primary melanoma microenvironments identify key melanoma regulators underlying prognosis. Nat Commun. 2021;12(1):1214. source
Classified as probably not a substantial claim.
PremisecitationIntramodular hub genes, the highly connected hub nodes in a gene network, have been shown to regulate other genes in the network and are termed key network drivers (KNDs).
“Intramodular hub genes, the highly connected hub nodes in a gene network, have been shown to regulate other genes in the network and termed as key network drivers (KNDs)”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [42] Langfelder P, Mischel PS, Horvath S. When is hub gene selection better than standard meta-analysis? PLoS ONE. 2013;8(4):e61505. source
The “Network Hubs: Nodes with High Connectivity” section defines intramodular hubs as nodes with high connectivity within a module. It does not call them key network drivers or establish that they regulate other genes. The “Limitations” section says the results have no direct relationship to regulatory-network analysis and notes that transcription regulators may be better targets when regulatory relationships are of interest. (LLM, conf=0.89)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBoth male and female E4FAD or APOE3+/+ mouse models with 5xFAD background (E3FAD) manifested with AD-related pathological, neuro-inflammatory, and behavioral phenotypes at 4-8 months of age, such as memory impairments measured by novel object recognition (NOR) tests with an inability to discriminate between novel and familiar objects.
“It was previously demonstrated that both male and female E4FAD or APOE3+/+ mouse models with 5xFAD background (E3FAD) manifested with AD-related pathological, neuro-inflammatory, and behavioral phenotypes at 4–8 months of age [29, 30], such as memory impairments measured by novel object recognition (NOR) tests with an inability to discriminate between novel and familiar objects [49].”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [29] Balu D, Karstens AJ, Loukenas E, Maldonado Weng J, York JM, Valencia-Olvera AC, et al. The role of APOE in transgenic mouse models of AD. Neurosci Lett. 2019;707:134285. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [30] Tai LM, Balu D, Avila-Munoz E, Abdullah L, Thomas R, Collins N, et al. EFAD transgenic mice as a human APOE relevant preclinical model of Alzheimer’s disease. J Lipid Res. 2017;58(9):1733–55. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [49] Antunes M, Biala G. The novel object recognition memory: neurobiology, test procedure, and its modifications. Cogn Process. 2012;13(2):93–110. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationPXN was up-regulated in the hippocampus, superior frontal gyrus and post-central gyrus of AD brains, co-localizing with Aβ-containing plaques.
“PXN was up-regulated in the hippocampus, superior frontal gyrus and post-central gyrus of AD brains, co-localizing with Aβ-containing plaques [66].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [66] Liang D, Han G, Feng X, Sun J, Duan Y, Lei H. Concerted perturbation observed in a hub network in Alzheimer’s disease. PLoS ONE. 2012;7(7):e40498. source
The Discussion section ‘The Interplay between Aging and AD’ reports PXN up-regulation in SFG, HIP and PCG, but identifies this as a finding during aging, not specifically in AD brains. The Results section ‘Biological Relevance of the Hub Network’ reports PXN as a constituent of plaques based on a literature survey; it does not establish that PXN co-localizes with Aβ-containing plaques in those three regions. Page numbers are unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationIn women, intact mitochondrial function protects individuals against Aβ toxicity, probably due to estrogen-mediated suppression of ROS and apoptogenic signals.
“In women, intact mitochondrial function protects individuals against Aβ toxicity probably due to estrogen-mediated suppression in ROS and apoptogenic signals generated in women [58].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [58] Vina J, Lloret A. Why women have more Alzheimer’s disease than men: gender and mitochondrial toxicity of amyloid-beta peptide. J Alzheimers Dis. 2010;20(Suppl 2):S527–33. source
The sections on female mitochondria and estrogenic compounds report that mitochondria from young female rats are protected against Aβ toxicity and that estrogens reduce mitochondrial peroxide release. The copy does not establish this protection for women generally—older female rat mitochondria were not protected—or identify suppression of apoptogenic signals as its mechanism. No page numbers were supplied for these passages. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationLRP10 is identified as a distant family member of APOE receptors with functional roles in AD, particularly less recognized in sex-specific AD development.
“LRP10 is identified as a distant family member of APOE receptors [73] with functional roles in AD, particularly less recognized in sex-specific AD development.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [73] Pohlkamp T, Wasser CR, Herz J. Functional roles of the interaction of APP and lipoprotein receptors. Front Mol Neurosci. 2017;10:54. source
The “Very Distinct and Short Receptors Containing LBRs” section treats LRP10 as a distant relative of the LDL receptor family and reports reduced LRP10 expression in AD brains and effects on APP processing in cell culture. It also says lipoprotein binding remains unconfirmed, so it does not establish LRP10 as an ApoE receptor. The section does not address sex-specific AD development; page numbers were not provided in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationIn female APOE4+/- AD brains, reduction in LRP10 protein expression may result in increased Aβ production with impaired APP trafficking as well as reduced Aβ clearance by microglia, leading to AD pathological changes.
“It is possible that in female APOE4+/- AD brains, reduction in LRP10 protein expression may result in an increased Aβ production with impaired APP trafficking [48] as well as a reduced Aβ clearance by microglia (as supported by our data) leading to AD pathological changes.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [48] Brodeur J, Theriault C, Lessard-Beaudoin M, Marcil A, Dahan S, Lavoie C. LDLR-related protein 10 (LRP10) regulates amyloid precursor protein (APP) trafficking and processing: evidence for a role in Alzheimer’s disease. Mol Neurodegener. 2012;7:31. source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationLRP10 was previously implicated in APP trafficking and processing, with subcellular localization in the trans-Golgi network (TGN), plasma membrane and endosomes.
“LRP10 was previously implicated in APP trafficking and processing [48] with a subcellular localization in the trans-Golgi network (TGN), plasma membrane and endosomes.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [48] Brodeur J, Theriault C, Lessard-Beaudoin M, Marcil A, Dahan S, Lavoie C. LDLR-related protein 10 (LRP10) regulates amyloid precursor protein (APP) trafficking and processing: evidence for a role in Alzheimer’s disease. Mol Neurodegener. 2012;7:31. source
Classified as probably not a substantial claim.
Findingown dataGene co-expression networks were constructed for each sex to identify Alzheimer's disease-associated co-expressed gene modules shared by males and females or specific to each sex.
“Gene co-expression networks were constructed for each sex to identify AD-associated co-expressed gene modules shared by males and females or specific to each sex.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe study identified genes differentially expressed between females and males, and between APOE4 carriers and non-carriers in Alzheimer's disease.
“we identified genes differentially expressed between females and males, as well as between APOE4 carriers and non-carriers in AD.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWhile some known Alzheimer's disease risk genes were also differentially trended genes, overall they were not enriched in any differentially trended gene signatures.
“While some known AD risk genes were also DTGs, but overall they were not enriched in any DTG signatures (Supplemental Table 3F).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNo statistically significant differences were seen between scramble versus LRP10 OE male and female E3FAD mice as well as male E4FAD mice.
“However, no statistically significant differences were seen between scramble versus LRP10 OE male and female E3FAD mice as well as male E4FAD mice.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the PHG region, 72% of the female AD modules showed significant GOC but none had LOC, whereas only 15% of male AD modules had significant GOC and 4% showed significant LOC.
“In the PHG region, 72% of the female AD modules showed significant GOC but none had LOC, whereas only 15% of male AD modules had significant GOC and 4% showed significant LOC”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
May combine two claims.
Findingown dataIn the PFC of the ROSMAP cohort, 3,196 KNDs for 355 modules were identified in the female AD network and 2,623 KNDs in 279 modules of male AD network.
“In the PFC of the ROSMAP cohort, 3,196 KNDs for 355 modules were identified in the female AD network and 2,623 KNDs in 279 modules of male AD network”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
May combine two claims.
Findingown dataLRP10 was ranked as a top KND of the female AD network with a score of 0.941 (range 0-1) and thus was prioritized for validation studies.
“Among candidate genes, LRP10 was ranked as a top KND of the female AD network with a score of 0.941 (the range of score is between 0 (the least important) and 1 (the most important; Fig. 3A; Fig. 2C and D; Supplemental Tables 10–11) and thus was prioritized for validation studies.”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
- The authors state this as an assumption: Expression patterns of genes closely connected with the KNDs in the co-expression network should be consistent with those of the KNDs determining or influencing a phenotype.
May combine two claims.
Findingown dataThe 6th ranked module (M16) in the male network of the PHG was involved in mitochondrial function but had a loss of connectivity (LOC) (MDC = 0.97, FDR < 0.01).
“the 6th ranked module (M16) in the male network of the PHG was also involved in mitochondrial function but had a loss of connectivity (LOC) (MDC = 0.97, FDR < 0.01)”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
May combine two claims.
Findingown dataIn females, the differentially expressed genes shared between the para-hippocampal gyrus and the prefrontal cortex account for only 4% of the differentially expressed genes of the para-hippocampal gyrus but 65% of the differentially expressed genes in the prefrontal cortex.
“In females, the DEGs shared between the PHG and the PFC account for only 4% of the DEGs of the PHG but 65% of the DEGs in the PFC.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFrom qPCR analysis, lrp10 mRNA was significantly increased in female APOE4+/- AD brains (PHG) compared to female APOE4+/- controls with no significant differences in male APOE4+/- AD versus male APOE4+/- controls.
“From qPCR analysis, lrp10 mRNA was significantly increased in female APOE4+/- AD brains (PHG) compared to female APOE4+/- controls with no significant differences in male APOE4+/- AD versus male APOE4+/- controls”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAbout 47% (350) of the 751 female-specific KNDs were neuronal genes (FET p = 2.48E-43, 1.95-fold enrichment (FE)) while 41% of the 1068 male-specific KNDs were neuronal genes (FET p = 1.99E-19, 1.44 FE).
“About 47% (350) of the 751 female-specific KNDs were neuronal genes (FET p = 2.48E-43, 1.95-fold enrichment (FE)) while 41% of the 1068 male-specific KNDs were neuronal genes (FET p = 1.99E-19, 1.44 FE)”
Quote in the paperNot a substantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
May combine two claims.
Findingown dataThe PHG and the PFC shared 23 female-specific AD KNDs and 25 male-specific AD KNDs. Nine AD KNDs were commonly shared between both sexes and both brain regions.
“In addition, the PHG and the PFC shared 23 female-specific AD KNDs and 25 male-specific AD KNDs. Nine AD KNDs were commonly shared between both sexes and both brain regions.”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
May combine two claims.
Findingown dataIn the PFC region, 65% of the modules showed GOC and none had LOC, whereas none of the male AD modules showed GOC and 19% showed LOC.
“Similar connectivity patterns were observed in the PFC region, in which 65% of the modules showed GOC and none had LOC, whereas none of the male AD modules showed GOC and 19% showed LOC”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
May combine two claims.
Findingown dataThree complementary strategies including DEA, TDTA and ADTA identified 295 female-specific and 225 male-specific KNDs in the PHG region, and 478 female-specific and 867 male-specific KNDs in the PFC region.
“Three complementary strategies including DEA, TDTA and ADTA identified 295 female-specific and 225 male-specific KNDs in the PHG region, and 478 female-specific and 867 male-specific KNDs in the PFC region”
Quote in the paperSubstantial claim- Rests on an assumption: Co-expression gene modules reflect coherent biological activities.
May combine two claims.
Findingown dataAn increased proportion of neurons was seen with LRP10 OE in female E4FAD, as well as both male and female E3FAD mouse brains when compared to control counterparts, but not in male E4FAD mice (40.3% increase in female E4FAD but 12.6% decrease in male E4FAD).
“Results suggested an increased proportion of neurons seen with LRP10 OE in female E4FAD, as well as both male and female E3FAD mouse brains when compared to control counterparts, but not in male E4FAD mice (Fig. 5A-B and Supplemental Table 13; 40.3% increase in female E4FAD but 12.6% decrease in male E4FAD).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe LRP10 over-expression induced transcriptomic changes in GABAN-T1 from female E4FAD significantly overlapped with those from male E4FAD but many of them were in opposite directions.
“the LRP10 over-expression induced transcriptomic changes in GABAN-T1 from female E4FAD significantly overlapped with those from male E4FAD but many of them were in opposite directions.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe microglial proportion was reduced in female E4FAD mouse brains but increased in male E4FAD mouse brains with LRP10 OE (20.5% decrease in female E4FAD but 46.2% increase in male E4FAD).
“the microglial proportion was reduced in female E4FAD mouse brains but increased in male E4FAD mouse brains with LRP10 OE (Fig. 5B and Supplemental Table 13; 20.5% decrease in female E4FAD but 46.2% increase in male E4FAD).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThere was an increase in oligomer Aβ42 levels (1.59 versus 2.04 pg/ml, p = 0.02) as well as amyloid plaque burden in male E4FAD mouse brains with LRP10 OE (an increase in mean plaque area in male LRP10 OE when compared to control with p < 0.0001).
“there was an increase in oligomer Aβ42 levels (Supplemental Fig. 9C: oligomer Aβ42 1.59 versus 2.04 pg/ml, p = 0.02) as well as amyloid plaque burden in male E4FAD mouse brains (Supplemental Fig. 9D: an increase in mean plaque area in male LRP10 OE when compared to control with p < 0.0001)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataA commonly shared function of the modules across the PHG and PFC regions was oxidative phosphorylation, with opposite connectivity changes between females and males by differential connectivity analysis.
“a commonly shared function of the modules across the PHG and PFC regions was oxidative phosphorylation with opposite connectivity changes between females and males by differential connectivity analysis.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataLRP10 OE reduced GABAN-T1 in female E3FAD by 2.8%, male E3FAD by 3.8%, and male E4FAD by 5.5% but increased GABAN-T1 in female E4FAD by 5.7%.
“LRP10 OE reduced GABAN-T1 in female E3FAD by 2.8%, male E3FAD by 3.8%, and male E4FAD by 5.5% but increased GABAN-T1 in female E4FAD by 5.7%.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWithin DAM or homeostatic microglial subcluster, each sex- and ApoE-genotype group had unique DEGs with significant overlaps across different groups and many in opposite directions.
“within DAM or homeostatic microglial subcluster, each sex- and ApoE-genotype group had unique DEGs with significant overlaps across different groups and many in opposite directions”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataLRP10 OE increased dopaminergic neurons in female E3FAD by 19.6% and in male E3FAD by 7.3% but reduced dopaminergic neurons in male E4FAD by 12%.
“LRP10 OE increased dopaminergic neurons in female E3FAD by 19.6% and in male E3FAD by 7.3% but reduced dopaminergic neurons in male E4FAD by 12%.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThere was a reduction in the total tau levels (49.3% reduction of total tau, p = 0.02) with an increase in IL10 levels (19.3% increase, p = 0.03) in male E4FAD mouse hippocampal brain regions with LRP10 OE.
“There was a reduction in the total tau levels (Supplemental Fig. 9B: 49.3% reduction of total tau, p = 0.02) with an increase in IL10 levels (Supplemental Fig. 9A: 19.3% increase, p = 0.03).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNo significant changes in total numbers of IBA1+ microglia in female E4FAD mice with LRP10 OE, as well as in TNFα or IL17 levels.
“No significant changes in total numbers of IBA1+ microglia in female E4FAD mice with LRP10 OE (Supplemental Fig. 8D), as well as in TNFα or IL17 levels (Supplemental Fig. 8E).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataLRP10 OE reduced GABAN-T2 in female E3FAD by 18% but increased GABAN-T2 in male E4FAD by 10% while the changes in female E4FAD and male E3FAD were minimal (< 1%).
“LRP10 OE reduced GABAN-T2 in female E3FAD by 18% but increased GABAN-T2 in male E4FAD by 10% while the changes in female E4FAD and male E3FAD were minimal (< 1%).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAmong prioritized candidate genes, LRP10 is top-ranked for its high network connectivity, sex-specific differential expression in AD, and APOE4 dosage dependency.
“Among the prioritized candidate genes, LRP10 is top-ranked for its high network connectivity, sex-specific differential expression in AD and APOE4 dosage dependency.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn APOE4+/- AD brains compared to control counterparts, lrp10 mRNA levels were significantly increased and LRP10 protein expression was dramatically reduced.
“we demonstrated a significant increase of lrp10 mRNA levels and a dramatic reduction of LRP protein expression in APOE4+/- AD brains when compared to control counterparts (Fig. 3C and 3D)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn APOE4+/- AD subjects, sex differences in LRP10 expression were observed: lrp10 mRNA levels were lower in females than males, whereas LRP10 protein levels were higher in females than males.
“sex differences in LRP10 expression can only be observed in APOE4+/- AD subjects with lrp10 mRNA levels lower in females than males AD subjects, whereas LRP10 protein levels were higher in females than males as suggested by our data (Fig. 3C and 3D).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe initial transcriptomic analysis of sex and APOE-genotype specific changes in EFAD mouse brains with or without LRP10 over-expression indicates distinct impacts of LRP10 on males and females as well as APOE genotypes in AD.
“The initial transcriptomic analysis of sex and APOE-genotype specific changes in EFAD mouse brains with or without LRP10 over-expression already indicates the distinct impacts of LRP10 on males and females as well as APOE genotypes in AD”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenMice were randomized for genotype and sex.
“Mice were randomized for genotype and sex, and blinded throughout the behavior data collection and analysis, surgical manipulations, and sample collection following the NIH practice guidelines.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataROSMAP RNA-seq data were corrected for covariates including batch, postmortem interval and RNA integrity number.
“The preprocessed RNA-seq FPKM gene expression abundance data of the ROSMAP cohort was obtained (Synapse doi:10.7303/syn3388564), and genes with at least 1 FPKM in at least 10% of the samples were selected and the data was corrected for covariates including batch, PMI and RIN.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenEquality of variance was checked for all statistical comparisons.
“Equality of variance was checked for all statistical comparisons.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenExperimenters were blinded to the experimental conditions of the animals while conducting experiments.
“Experimenters were blinded to the experimental conditions of the animals while conducting experiments.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe sample size of each experiment was determined based on power calculations derived from previous similar studies.
“The sample size of each experiment was determined based on power calculations derived from previous similar studies which allowed us to determine group sizes needed to achieve statistically significant results.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataPossible post-translational modifications such as an accelerated LRP10 protein degradation with a compensatory up-regulation of transcriptional machinery may explain the reciprocal correlation.
“suggesting possible post-translational modifications such as an accelerated LRP10 protein degradation with a compensatory up-regulation of transcriptional machinery”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenMultiple tests were adjusted using the Benjamini-Hochberg false discovery rate method.
“Multiple tests were adjusted using the Benjamini–Hochberg’s (BH) FDR method.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenExperimenters were blinded throughout behavior data collection and analysis, surgical manipulations, and sample collection.
“Mice were randomized for genotype and sex, and blinded throughout the behavior data collection and analysis, surgical manipulations, and sample collection following the NIH practice guidelines.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataRNA-seq data were corrected for covariates such as postmortem interval, race, RNA integrity number, rate of exonic reads, and batch using a linear mixed model.
“Genes with at least 1 count per million (CPM) in at least one sample were selected, normalized [13] and corrected for covariates such as postmortem interval (PMI), race, RNA integrity number (RIN), rate of exonic reads, and batch using a linear mixed model.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll experiments including controls were performed in randomly assigned groups.
“All experiments including controls were performed in randomly assigned groups.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenSex as a biological variable was taken into consideration with inclusion of both male and female mice in all experiments.
“Sex as a biological variable was taken into considerations with inclusion of both male and female mice in all experiments.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataLRP10 impacts brain cell populations in sex- and APOE genotype-specific manners, with neurons and microglia as the most affected cell types.
“Together, these results suggest that LRP10 impacts brain cell populations in sex- and APOE genotype-specific manners, with neurons and microglia as the most affected cell types.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMitochondria function differently between women and men.
“Previous studies have reported that mitochondria functions differently between women and men.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe data further validated the prediction of LRP10 as a key network regulator of AD in females but not in males.
“The data further validated our prediction of LRP10 as a key network regulator of AD in females but not in males.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCLU (apolipoprotein J) was identified as an AD risk gene by a large-scale meta-analysis.
“CLU also known as apolipoprotein J (APOJ), was identified as an AD risk gene by a large scale meta-analysis [46].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] Bertram L, McQueen MB, Mullin K, Blacker D, Tanzi RE. Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database. Nat Genet. 2007;39(1):17–23. source
May combine two claims.
Interpretationown dataLRP10 is a causal regulator for AD, whose expression is significantly associated with cognition performance and development of AD pathology in sex- and APOE genotype-specific manners.
“Together, these results support the notion that LRP10 is a causal regulator for AD, whose expression is significantly associated with cognition performance and development of AD pathology in sex- and APOE genotype-specific manners.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIn APOE4+/- female AD subjects, reduction of LRP10 protein is reminiscent of loss-of-function effects of lrp10 in other neurodegenerative disorders.
“It is possible that in APOE4+/- female AD subjects, reduction of LRP10 protein is reminiscent of loss-of-function effects of lrp10 in other neurodegenerative disorders.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationNUCB1 was the only one among the positive hits previously reported as a LRP10-binding protein, and its interaction with LRP10 was shown to prevent the delivery of LRP10 to the lysosomes.
“Among these positive hits, NUCB1 was the only one previously reported as a LRP10-binding protein and its interaction with LRP10 was shown to prevent the delivery of LRP10 to the lysosomes [75].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [75] Brodeur J, Larkin H, Boucher R, Theriault C, St-Louis SC, Gagnon H, et al. Calnuc binds to LRP9 and affects its endosomal sorting. Traffic. 2009;10(8):1098–114. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA recent study identified several genetic variants of LRP10 in familial Parkinson's disease and dementia with Lewy bodies with possible loss-of-function effects on mRNA stability, protein stability and localization as potential pathogenic mechanisms.
“a recent study identified several genetic variants of LRP10 in familial Parkinson’s disease and dementia with Lewy bodies with possible loss-of-function effects on mRNA stability, protein stability and localization as potential pathogenic mechanisms [74].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [74] Quadri M, Mandemakers W, Grochowska MM, Masius R, Geut H, Fabrizio E, et al. LRP10 genetic variants in familial Parkinson’s disease and dementia with Lewy bodies: a genome-wide linkage and sequencing study. Lancet Neurol. 2018;17(7):597–608. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe beneficial effects of LRP10 overexpression on female E4FAD mice may be mainly through accelerated clearance of amyloid pathology, and without amyloid pathology this impact is hard to appreciate.
“It is possible that the beneficial effects of LRP OE on female E4FAD mice we observed (Fig. 4) may exhibit mainly through accelerated clearance of amyloid pathology, and that without amyloid pathology this impact is hard to be appreciated.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Co-expression gene modules reflect coherent biological activities.
“to identify co-expression gene modules reflecting coherent biological activities in each brain region”
The authors state this as an assumption.
Expression patterns of genes closely connected with the KNDs in the co-expression network should be consistent with those of the KNDs determining or influencing a phenotype.
“based on the hypothesis that expression patterns of the genes closely connected with the KNDs in the co-expression network should be consistent with those of the KNDs determining or influencing a phenotype”
The paper relies on this without support.
No prior study has performed large-scale characterization of sex-specific gene expression regulation and network organization in AD.
“Our study presented here is the first large-scale characterization of sex-specific gene expression regulation and network organization in AD.”
The paper relies on this without support.
AD pathogenesis stems from perturbation of gene-gene interactions.
“The pathogenesis of AD like many other complex diseases stems from perturbation of gene–gene interactions”
The paper relies on this without support.
The functional roles of key driver genes of complex diseases can only be better understood when taking into account molecular networks that define disease states.
“the functional roles of key driver genes of such diseases can only be better understood when taking into account molecular networks that define disease states.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Yeast two-hybrid library is described as both fetal and adult
MinorMethods identify the screened library as human fetal brain cDNA, whereas Results call it an adult human brain cDNA library.
“The yeast two-hybrid screen with human LRP10 cytoplasmic tail as a bait was screened against the Human Fetal Brain MATCHMAKER cDNA Library”
“LRP10 cytoplasmic tail was used as a bait to screen an adult human brain cDNA library using the yeast two-hybrid system.”
Female-specific key-driver total is one too high
MinorThe two regions have 295 and 478 female-specific KNDs, with 23 shared. That gives 750 distinct genes, not the reported 751.
“Three complementary strategies including DEA, TDTA and ADTA identified 295 female-specific and 225 male-specific KNDs in the PHG region, and 478 female-specific and 867 male-specific KNDs in the PFC region”
“About 47% (350) of the 751 female-specific KNDs were neuronal genes”
Plaque area is given in incompatible units
MinorThe figure caption says plaque area was measured in mm2, while the accompanying result says the mean plaque area was measured in μm2.
“plaque area in mm2”
“The plaque quantification analysis showed a 58.6% reduction in mean plaque area measured by μm2 with LRP10 OE when compared to control”
Male-specific key-driver total is one too high
MinorThe two regions have 225 and 867 male-specific KNDs, with 25 shared. That gives 1067 distinct genes, not the reported 1068.
“In addition, the PHG and the PFC shared 23 female-specific AD KNDs and 25 male-specific AD KNDs.”
“while 41% of the 1068 male-specific KNDs were neuronal genes”
Male modules are said to have no gain of connectivity, then 15% are reported to have it
MinorThe first statement allows only unchanged or reduced connectivity in male modules, but the subsequent result reports significant gain of connectivity in 15% of male PHG modules.
“the male gene modules showed either no connectivity changes or LOC in comparison with the female ones”
“only 15% of male AD modules had significant GOC and 4% showed significant LOC”
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · cited 1× · see citing works
“Multiple tests were adjusted using the Benjamini– Hochberg’s (BH) FDR method [26].”
MethodfeatureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219 · cited 1× · see citing works
“0b) and quantified using featureCounts [12] based on the Ensembl gene model GRCh37.”
MethodNeuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · cited 1× · see citing works
“[14–17], including Braak stage [18, 19], clinical dementia rating (CDR) scale [20], the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) score [21], and mean plaque density [14].”
MethodIntegrating single-cell transcriptomic data across different conditions, technologies, and species
Butler, A., Hoffman, P., Smibert, P., Papalexi, E., & Satija, R. (2018) · Nature Biotechnology · doi:10.1038/nbt.4096 · Cited by 13,174 · cited 1× · see citing works
“The principal component analysis (PCA) was performed with significant principal components determined by a JackStraw permutation procedure to select cell clustering using Seurat’s graph-based clustering approaches [39].”
MethodSmyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829 · see citing works
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882 · see citing works
UMAP: Uniform Manifold Approximation and Projection
McInnes, L., Healy, J., Saul, N., & Großberger, L. (2018) · Journal of Open Source Software · doi:10.21105/joss.00861 · Cited by 9,826 · see citing works
A scaling normalization method for differential expression analysis of RNA-seq data
Robinson, M. D., & Oshlack, A. (2010) · Genome Biology · doi:10.1186/gb-2010-11-3-r25 · Cited by 7,876 · cited 1× · see citing works
“Genes with at least 1 count per million (CPM) in at least one sample were selected, normalized [13] and corrected for covariates such as postmortem interval (PMI), race, RNA integrity number (RIN), rate of exonic reads, and batch using a linear mixed model.”
MethodMirra, S. S., Heyman, A., McKeel, D., Sumi, S. M., Crain, B. J., Brownlee, L. M., Vogel, F. S., Hughes, J. P., Belle, G. V., Berg, L., et al. (1991) · Neurology · doi:10.1212/wnl.41.4.479 · Cited by 4,961 · see citing works
Hafemeister, C., & Satija, R. (2019) · Genome Biology · doi:10.1186/s13059-019-1874-1 · Cited by 4,479 · see citing works
Meta-Analysis of 74,046 Individuals Identifies 11 New Susceptibility Loci for Alzheimer’s Disease
(EADI), E. A. D. I., Lambert, J.-C., (GERAD), G. A. E. R. I. A. D., Alzheimer's Disease Genetic Consortium (ADGC), (CHARGE), C. F. H. A. A. R. I. G. E., Ibrahim-Verbaas, C. A., Harold, D., Naj, A. C., Sims, R., Bellenguez, C., et al. (2013) · Nature Genetics · doi:10.1038/ng.2802 · Cited by 4,336 · see citing works
Self-citationBraak, H., Alafuzoff, I., Arzberger, T., Kretzschmar, H., & Del Tredici, K. (2006) · Acta Neuropathologica · doi:10.1007/s00401-006-0127-z · Cited by 3,172 · see citing works
Alzheimer disease in the United States (2010–2050) estimated using the 2010 census
Hebert, L. E., Weuve, J., Scherr, P. A., & Evans, D. A. (2013) · Neurology · doi:10.1212/wnl.0b013e31828726f5 · Cited by 2,642 · see citing works
The novel object recognition memory: neurobiology, test procedure, and its modifications
Antunes, M., & Biala, G. (2012) · Cognitive Processing · doi:10.1007/s10339-011-0430-z · Cited by 2,390 · cited 2× · see citing works
“It was previously demonstrated that both male and female E4FAD or APOE3+/+ mouse models with 5xFAD background (E3FAD) manifested with AD-related pathological, neuro-inflammatory, and behavioral phenotypes at 4–8 months of age [29, 30], such as memory impairments measured by novel object recognition (NOR) tests with an…”
BackgroundResultShumaker, S. A., Legault, C., Rapp, S. R., Thal, L., Wallace, R. B., Ockene, J. K., Hendrix, S. L., Jones III, B. N., Assaf, A. R., Jackson, R. D., et al. (2003) · JAMA · doi:10.1001/jama.289.20.2651 · Cited by 2,178 · see citing works
Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database
Bertram, L., McQueen, M. B., Mullin, K., Blacker, D., & Tanzi, R. E. (2007) · Nature Genetics · doi:10.1038/ng1934 · Cited by 1,857 · cited 3× · see citing works
“Fifty-two sex-specific KNDs of AD were also known AD genetic risk factors based on the AlzGene database and the genes identified from a large-scale meta-analysis carried out by the International Genomics of Alzheimer’s Project (IGAP) [46, 47].”
BackgroundMethodIntegrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease
Zhang, B., Gaiteri, C., Bodea, L.-G., Wang, Z., McElwee, J., Podtelezhnikov, A. A., Zhang, C., Xie, T., Tran, L., Dobrin, R., et al. (2013) · Cell · doi:10.1016/j.cell.2013.03.030 · Cited by 1,657 · cited 2× · see citing works
“The modular differential connectivity (MDC) analysis of the co-expression networks in both the PHG and PFC regions [28] was carried out to quantitatively compare network reorganizations (i.”
MethodSelf-citationHolcomb, L., Gordon, M. N., McGowan, E., Yu, X., Benkovic, S., Jantzen, P., Wright, K., Saad, I., Mueller, R., Morgan, D., et al. (1998) · Nature Medicine · doi:10.1038/nm0198-097 · Cited by 1,386 · see citing works
Kawarabayashi, T., Younkin, L. H., Saido, T. C., Shoji, M., Ashe, K. H., & Younkin, S. G. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-02-00372.2001 · Cited by 1,053 · see citing works
Clinical epidemiology of Alzheimer&rsquo;s disease: assessing sex and gender differences
Mielke, M., Vemuri, P., & Rocca, W. (2014) · Clinical Epidemiology · doi:10.2147/clep.s37929 · Cited by 1,021 · cited 1× · see citing works
“Women with AD show greater cognitive vulnerability to AD pathology, steeper rates of cognitive decline, and faster brain volume loss than men do [4, 5].”
BackgroundGrubman, A., Chew, G., Ouyang, J. F., Sun, G., Choo, X. Y., McLean, C., Simmons, R. K., Buckberry, S., Vargas-Landin, D. B., Poppe, D., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0539-4 · Cited by 956 · cited 2× · see citing works
“10), the clustering analysis identified 6 major brain cell types including neuron, astrocyte, microglia, oligodendrocyte, oligodendrocyte progenitor cell (OPC), and endothelial cell (Fig.”
BackgroundThe neurobiological basis of spontaneous alternation
Lalonde, R. (2002) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(01)00041-0 · Cited by 842 · see citing works
Molecular networks as sensors and drivers of common human diseases
Schadt, E. E. (2009) · Nature · doi:10.1038/nature08454 · Cited by 806 · cited 1× · see citing works
“Gene network analysis provides such a tool that allows us to identify not only high level gene interaction and co-regulatory structures but also key network drivers of disease [52].”
BackgroundSex-specific transcriptional signatures in human depression
Labonté, B., Engmann, O., Purushothaman, I., Menard, C., Wang, J., Tan, C., Scarpa, J. R., Moy, G., Loh, Y.-H. E., Cahill, M., et al. (2017) · Nature Medicine · doi:10.1038/nm.4386 · Cited by 748 · cited 1× · see citing works
“Stereotaxic injection and behavior studies 8–9 weeks old male and female APOE3+/+ and APOE4+/+ KI mice with 5xFAD background (N = 15–18/group) were placed in the stereotaxic apparatus with AAV2/9containing LRP10 or scramble control virus administered into the dorsal CA1 regions of bilateral hippocampal brain regions u…”
MethodSelf-citationSex Differences in the Clinical Manifestations of Alzheimer Disease Pathology
Barnes, L. L., Wilson, R. S., Bienias, J. L., Schneider, J. A., Evans, D. A., & Bennett, D. A. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.685 · Cited by 643 · cited 2× · see citing works
“The association of AD pathology with clinical manifestations of the disease is also more significant in women than men [4].”
BackgroundA multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research
De Jager, P. L., Ma, Y., McCabe, C., Xu, J., Vardarajan, B. N., Felsky, D., Klein, H.-U., White, C. C., Peters, M. A., Lodgson, B., et al. (2018) · Scientific Data · doi:10.1038/sdata.2018.142 · Cited by 598 · see citing works
Differing patterns of temporal atrophy in Alzheimer's disease and semantic dementia
Galton, C. J., Patterson, K., Graham, K., Lambon-Ralph, M. A., Williams, G., Antoun, N., Sahakian, B. J., & Hodges, J. R. (2001) · Neurology · doi:10.1212/wnl.57.2.216 · Cited by 582 · see citing works
Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer's disease
Gjoneska, E., Pfenning, A. R., Mathys, H., Quon, G., Kundaje, A., Tsai, L.-H., & Kellis, M. (2015) · Nature · doi:10.1038/nature14252 · Cited by 576 · cited 1× · see citing works
“2), which are consistent with prior studies [56, 57].”
ResultLate onset Alzheimer’s disease genetics implicates microglial pathways in disease risk
Efthymiou, A. G., & Goate, A. M. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-017-0184-x · Cited by 562 · cited 1× · see citing works
“2), which are consistent with prior studies [56, 57].”
ResultSelf-citationJohnson, E. C. B., Carter, E. K., Dammer, E. B., Duong, D. M., Gerasimov, E. S., Liu, Y., Liu, J., Betarbet, R., Ping, L., Yin, L., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-021-00999-y · Cited by 561 · cited 1× · see citing works
“The discordance or decoupling in mRNA and protein expression of the same genes has been reported in studies with human aging [67] and neurodegenerative disorders such as tauopathy [68] and AD [69] with proposed mechanisms such as changes in expression profiles of RNA binding proteins and microRNAs [67], as well as pos…”
BackgroundSelf-citationWang, M., Beckmann, N. D., Roussos, P., Wang, E., Zhou, X., Wang, Q., Ming, C., Neff, R., Ma, W., Fullard, J. F., et al. (2018) · Scientific Data · doi:10.1038/sdata.2018.185 · Cited by 502 · see citing works
Self-citationGender and incidence of dementia in the Framingham Heart Study from mid‐adult life
Chêne, G., Beiser, A., Au, R., Preis, S. R., Wolf, P. A., Dufouil, C., & Seshadri, S. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.10.005 · Cited by 499 · see citing works
Viña, J., & Lloret, A. (2010) · Journal of Alzheimer's Disease · doi:10.3233/jad-2010-100501 · Cited by 447 · cited 1× · see citing works
“In women, intact mitochondrial function protects individuals against Aβ toxicity probably due to estrogen-mediated suppression in ROS and apoptogenic signals generated in women [58].”
BackgroundMultiscale Embedded Gene Co-expression Network Analysis
Song, W., & Zhang, B. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004574 · Cited by 357 · cited 7× · see citing works
“Gene co‐expression network analysis Multiscale embedded Gene co-Expression Network Analysis (MEGENA) [25] was performed to construct AD- and sex-specific gene regulatory networks for the identification of co-expressed gene modules in each brain region from AD subjects.”
MethodInfluentialSelf-citationWang, M., Roussos, P., McKenzie, A., Zhou, X., Kajiwara, Y., Brennand, K. J., De Luca, G. C., Crary, J. F., Casaccia, P., Buxbaum, J. D., et al. (2016) · Genome Medicine · doi:10.1186/s13073-016-0355-3 · Cited by 314 · see citing works
Self-citationWhen is hub gene selection better than standard meta-analysis?
Langfelder, P., Mischel, P. S., & Horvath, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061505 · Cited by 313 · see citing works
CORDER, E. H., GHEBREMEDHIN, E., TAYLOR, M. G., THAL, D. R., OHM, T. G., & BRAAK, H. (2004) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1297.005 · Cited by 254 · see citing works
Ungar, L., Altmann, A., & Greicius, M. D. (2014) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9272-x · Cited by 246 · see citing works
The human perirhinal cortex and semantic memory
Davies, R. R., Graham, K. S., Xuereb, J. H., Williams, G. B., & Hodges, J. R. (2004) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2004.03710.x · Cited by 238 · see citing works
Elder, G. A., Dorr, N. P., Gasperi, R. D., Sosa, M. A. G., Shaughness, M., Maudlin-Jeronimo, E., Hall, A. A., McCarron, R. M., & Ahlers, S. T. (2012) · Journal of Neurotrauma · doi:10.1089/neu.2012.2510 · Cited by 236 · see citing works
Sex and age differences in atrophic rates: an ADNI study with n=1368 MRI scans
Hua, X., Hibar, D. P., Lee, S., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.033 · Cited by 234 · cited 1× · see citing works
“5% faster in women with AD than that in men [6].”
BackgroundHowlett, D. R., Richardson, J. C., Austin, A., Parsons, A. A., Bate, S. T., Davies, D. C., & Gonzalez, M. I. (2004) · Brain Research · doi:10.1016/j.brainres.2004.05.029 · Cited by 212 · see citing works
Alzheimer's Disease, Apolipoprotein E4, and Gender
Payami, H. (1994) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1994.03510410028015 · Cited by 190 · see citing works
Wang, M., Li, A., Sekiya, M., Beckmann, N. D., Quan, X., Schrode, N., Fernando, M. B., Yu, A., Zhu, L., Cao, J., et al. (2021) · Neuron · doi:10.1016/j.neuron.2020.11.002 · Cited by 185 · cited 1× · see citing works
“The clinical traits, cognitive assessments and disease stages of subjects from the MSBB cohort [22, 23] and the ROSMAP cohort [11] have been previously described in detail as well.”
BackgroundSelf-citationThe Role of Clusterin in Alzheimer’s Disease: Pathways, Pathogenesis, and Therapy
Yu, J.-T., & Tan, L. (2012) · Molecular Neurobiology · doi:10.1007/s12035-012-8237-1 · Cited by 174 · see citing works
Sex hormones aging and Alzheimer s disease
Pike, C. J. (2012) · Frontiers in Bioscience-Elite · doi:10.2741/e434 · Cited by 173 · see citing works
Prognostic factors in paediatric anaplastic large cell lymphoma role of ALK
Woessmann, W. (2011) · Frontiers in Bioscience-Scholar · doi:10.2741/434 · Cited by 166 · see citing works
Lane, R. F., Raines, S. M., Steele, J., Ehrlich, M. E., Lah, J. J., Small, S. A., Tanzi, R. E., Attie, A., & Gandy, S. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.3872-10.2010 · Cited by 165 · cited 1× · see citing works
“analysis Snap-frozen mouse hemi-brains were harvested in lysis buffer [36] and processed via step-wise solubilization [36, 37], followed by SDS-PAGE to determine levels of LRP10, CD34, NBR1, ACBD3, LRP1, LRP3, LRP6, LDLR, pTau, total tau and β-actin.”
MethodSex Differences in Alzheimer’s Disease: Insights From the Multiomics Landscape
Guo, L., Zhong, M. B., Zhang, L., Zhang, B., & Cai, D. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.02.968 · Cited by 164 · cited 1× · see citing works
“It affects women disproportionally as manifested in many aspects such as disease prevalence, clinical presentation, neuroimaging studies and treatment responsiveness from clinical trials [1].”
BackgroundSelf-citationZhu, L., Zhong, M., Elder, G. A., Sano, M., Holtzman, D. M., Gandy, S., Cardozo, C., Haroutunian, V., Robakis, N. K., & Cai, D. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1510011112 · Cited by 160 · see citing works
Self-citationPassini, M. A., Dodge, J. C., Bu, J., Yang, W., Zhao, Q., Sondhi, D., Hackett, N. R., Kaminsky, S. M., Mao, Q., Shihabuddin, L. S., et al. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.2676-05.2006 · Cited by 154 · see citing works
Quadri, M., Mandemakers, W., Grochowska, M. M., Masius, R., Geut, H., Fabrizio, E., Breedveld, G. J., Kuipers, D., Minneboo, M., Vergouw, L. J. M., et al. (2018) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30179-0 · Cited by 143 · cited 1× · see citing works
“Interestingly, a recent study identified several genetic variants of LRP10 in familial Parkinson’s disease and dementia with Lewy bodies with possible loss-of-function effects on mRNA stability, protein stability and localization as potential pathogenic mechanisms [74].”
BackgroundThe landscape of multiscale transcriptomic networks and key regulators in Parkinson’s disease
Wang, Q., Zhang, Y., Wang, M., Song, W.-M., Shen, Q., McKenzie, A., Choi, I., Zhou, X., Pan, P.-Y., Yue, Z., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13144-y · Cited by 121 · cited 1× · see citing works
“This approach has been successfully employed to identify novel pathways and key driver genes of complex human diseases such as AD [22], Parkinson’s disease (PD) [43], melanoma [44] and gastric cancer [45] and notably the top drivers predicted for the abovementioned diseases were experimentally validated in vitro or in…”
BackgroundSelf-citationWei, Y.-N., Hu, H.-Y., Xie, G.-C., Fu, N., Ning, Z.-B., Zeng, R., & Khaitovich, P. (2015) · Genome Biology · doi:10.1186/s13059-015-0608-2 · Cited by 117 · cited 1× · see citing works
“The discordance or decoupling in mRNA and protein expression of the same genes has been reported in studies with human aging [67] and neurodegenerative disorders such as tauopathy [68] and AD [69] with proposed mechanisms such as changes in expression profiles of RNA binding proteins and microRNAs [67], as well as pos…”
BackgroundTranscriptional vulnerability of brain regions in Alzheimer's disease and dementia
Haroutunian, V. H., Katsel, P., & Schmeidler, J. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.07.021 · Cited by 113 · cited 1× · see citing works
“[14–17], including Braak stage [18, 19], clinical dementia rating (CDR) scale [20], the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) score [21], and mean plaque density [14].”
MethodSelf-citationErcan-Herbst, E., Ehrig, J., Schöndorf, D. C., Behrendt, A., Klaus, B., Gomez Ramos, B., Prat Oriol, N., Weber, C., & Ehrnhoefer, D. E. (2019) · Acta Neuropathologica Communications · doi:10.1186/s40478-019-0823-2 · Cited by 101 · see citing works
Concerted Perturbation Observed in a Hub Network in Alzheimer’s Disease
Liang, D., Han, G., Feng, X., Sun, J., Duan, Y., & Lei, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040498 · Cited by 93 · see citing works
EFAD transgenic mice as a human APOE relevant preclinical model of Alzheimerʼns disease
Tai, L. M., Balu, D., Avila-Munoz, E., Abdullah, L., Thomas, R., Collins, N., Valencia-Olvera, A. C., & LaDu, M. J. (2017) · Journal of Lipid Research · doi:10.1194/jlr.r076315 · Cited by 93 · cited 2× · see citing works
“Animal models Human APOE4+/+ or APOE3+/+ knock-in (KI) mouse models with 5xFAD background [29, 30] were genotyped as described.”
BackgroundMethodFunctional Roles of the Interaction of APP and Lipoprotein Receptors
Pohlkamp, T., Wasser, C. R., & Herz, J. (2017) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2017.00054 · Cited by 92 · cited 1× · see citing works
“Unlike other well-characterized APOE receptors like LRP1 and LDLR, LRP10 is identified as a distant family member of APOE receptors [73] with functional roles in AD, particularly less recognized in sex-specific AD development.”
BackgroundThe Involvement of Post-Translational Modifications in Alzheimer's Disease
Marcelli, S., Corbo, M., Iannuzzi, F., Negri, L., Blandini, F., Nisticò, R., & Feligioni, M. (2017) · Current Alzheimer Research · doi:10.2174/1567205014666170505095109 · Cited by 89 · see citing works
The role of APOE in transgenic mouse models of AD
Balu, D., Karstens, A. J., Loukenas, E., Maldonado Weng, J., York, J. M., Valencia-Olvera, A. C., & LaDu, M. J. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2019.134285 · Cited by 81 · cited 2× · see citing works
“Animal models Human APOE4+/+ or APOE3+/+ knock-in (KI) mouse models with 5xFAD background [29, 30] were genotyped as described.”
BackgroundMethodBrodeur, J., Thériault, C., Lessard-Beaudoin, M., Marcil, A., Dahan, S., & Lavoie, C. (2012) · Molecular Neurodegeneration · doi:10.1186/1750-1326-7-31 · Cited by 77 · cited 5× · see citing works
“LRP10 was previously implicated in APP trafficking and processing [48] with a subcellular localization in the trans-Golgi network (TGN), plasma membrane and endosomes.”
BackgroundResultInfluentialIntegrated analysis of the aging brain transcriptome and proteome in tauopathy
Mangleburg, C. G., Wu, T., Yalamanchili, H. K., Guo, C., Hsieh, Y.-C., Duong, D. M., Dammer, E. B., De Jager, P. L., Seyfried, N. T., Liu, Z., et al. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00405-4 · Cited by 75 · cited 1× · see citing works
“The discordance or decoupling in mRNA and protein expression of the same genes has been reported in studies with human aging [67] and neurodegenerative disorders such as tauopathy [68] and AD [69] with proposed mechanisms such as changes in expression profiles of RNA binding proteins and microRNAs [67], as well as pos…”
BackgroundSong, W.-M., Agrawal, P., Von Itter, R., Fontanals-Cirera, B., Wang, M., Zhou, X., Mahal, L. K., Hernando, E., & Zhang, B. (2021) · Nature Communications · doi:10.1038/s41467-021-21457-0 · Cited by 62 · cited 1× · see citing works
“This approach has been successfully employed to identify novel pathways and key driver genes of complex human diseases such as AD [22], Parkinson’s disease (PD) [43], melanoma [44] and gastric cancer [45] and notably the top drivers predicted for the abovementioned diseases were experimentally validated in vitro or in…”
BackgroundSelf-citationSex differences in rumen fermentation and microbiota of Tibetan goat
Guo, X., Sha, Y., Lv, W., Pu, X., Liu, X., Luo, Y., Hu, J., Wang, J., Li, S., & Zhao, Z. (2022) · Microbial Cell Factories · doi:10.1186/s12934-022-01783-8 · Cited by 58 · cited 1× · see citing works
“Despite the continuous effort in the field, the molecular and cellular mechanisms underlying sex differences in AD pathogenesis remain poorly understood [9].”
BackgroundDiffering patterns of temporal atrophy in Alzheimer’s disease and semantic dementia
Chan, D., Fox, N. C., & Rossor, M. N. (2002) · Neurology · doi:10.1212/wnl.58.5.838 · Cited by 50 · see citing works
Calnuc Binds to LRP9 and Affects its Endosomal Sorting
Brodeur, J., Larkin, H., Boucher, R., Thériault, C., St‐Louis, S. C., Gagnon, H., & Lavoie, C. (2009) · Traffic · doi:10.1111/j.1600-0854.2009.00933.x · Cited by 44 · see citing works
Expression of Regulatory Proteins in Choroid Plexus Changes in Early Stages of Alzheimer Disease
Krzyzanowska, A., García-Consuegra, I., Pascual, C., Antequera, D., Ferrer, I., & Carro, E. (2015) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0000000000000181 · Cited by 42 · cited 1× · see citing works
“For example, MSN protein levels were significantly different between AD and control brains [65].”
BackgroundEstrogen Receptor β Variants Modify Risk for Alzheimer's Disease in a Multiethnic Female Cohort
Janicki, S. C., Park, N., Cheng, R., Lee, J. H., Schupf, N., & Clark, L. N. (2014) · Journal of Alzheimer's Disease · doi:10.3233/jad-130551 · Cited by 36 · see citing works
Song, W., Lin, X., Liao, X., Hu, D., Lin, J., Sarpel, U., Ye, Y., Feferman, Y., Labow, D. M., Walsh, M. J., et al. (2019) · International Journal of Cancer · doi:10.1002/ijc.32643 · Cited by 36 · see citing works
Self-citationIn vivo network models identify sex differences in the spread of tau pathology across the brain
Shokouhi, S., Taylor, W. D., Albert, K., Kang, H., Newhouse, P. A., & Initiative, T. A. D. N. (2020) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1002/dad2.12016 · Cited by 35 · cited 1× · see citing works
“For example, a recent study revealed the distinct architectures of tau-based brain-region connectivity networks in males and females, and further showed that the network architecture in women favored a more rapid spread of neurofibrillary tangles in the brain [59].”
BackgroundDeolankar, S. C., Patil, A. H., Balaya, R. D. A., Subba, P., Mahadevan, A., & Prasad, T. S. K. (2021) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2021.0054 · Cited by 26 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- Wang M, Roussos P, McKenzie A, Zhou X, Kajiwara Y, Brennand K, et al. Integrative network analysis of nineteen brain regions identifies molecular signatures and networks underlying selective regional vulnerability to Alzheimer’s disease. Genome Med. 2016;8:104. · DOI · Paper page
- Wang M, Beckmann ND, Roussos P, Wang E, Zhou X, Wang Q, et al. The Mount Sinai cohort of large-scale genomic, transcriptomic and proteomic data in Alzheimer’s disease. Sci Data. 2018;5:180185. · DOI · Paper page
- Wang M, Li A, Sekiya M, Beckmann ND, Quan X, Schrode N, et al. Transformative network modeling of multi-omics data reveals detailed circuits, key regulators, and potential therapeutics for Alzheimer’s disease. Neuron. 2020;S0896–6273(20):8.
Cited by
Sorted by citations
Updates on mouse models of Alzheimer’s disease
Zhong, M. Z., Peng, T., Duarte, M. L., Wang, M., & Cai, D. (2024) · Molecular Neurodegeneration · doi:10.1186/s13024-024-00712-0 · Cited by 189 · see citing works
“Moreover, sex differences as well as sex-dimorphic responses to genetic or pharmacological manipulations in human APOE mouse models have been reported, implicating the interaction between sex and APOE in AD pathogenesis [112, 113, 128].”
BackgroundSelf-citationKong, F., Wu, T., Dai, J., Zhai, Z., Cai, J., Zhu, Z., Xu, Y., & Sun, T. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1205207 · Cited by 54 · see citing works
“And the finding was successfully validated by the EFAD mouse model (Guo et al., 2023).”
BackgroundMethodThe ROSMAP project: aging and neurodegenerative diseases through omic sciences
Pérez-González, A. P., García-Kroepfly, A. L., Pérez-Fuentes, K. A., García-Reyes, R. I., Solis-Roldan, F. F., Alba-González, J. A., Lemus, E. H., & de Anda‐Jáuregui, G. (2024) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2024.1443865 · Cited by 44 · see citing works
Zhang, Y., Fu, Y., Guan, X., Wang, C., Fu, M., Xiao, Y., Hong, S., Zhou, Y., Liu, C., Zhong, G., et al. (2024) · Environment International · doi:10.1016/j.envint.2024.108870 · Cited by 34 · see citing works
Self-citationMicroglial immunometabolism endophenotypes contribute to sex difference in Alzheimer's disease
Hou, Y., Caldwell, J., Lathia, J. D., Leverenz, J. B., Pieper, A. A., Cummings, J. L., & Cheng, F. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13546 · Cited by 27 · see citing works
“60,61 An elevated level of GPC correlates with IL17RB expression ( 𝜌 = 0.55) 62 and RAF1 expression ( 𝜌 = 0.53), potentially regulating IL-17 signaling and the CLR pathways in male AD.”
BackgroundInfluentialMinding the Gap: Exploring Neuroinflammatory and Microglial Sex Differences in Alzheimer’s Disease
Reed-Geaghan, E. G., & Keller-Norrell, P. R. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242417377 · Cited by 19 · see citing works
AI-assisted multi-OMICS analysis reveals new markers for the prediction of AD
Latifi‐Navid, H., Mokhtari, S., Taghizadeh, S., Moradi, F., Poostforoush-Fard, D., Alijanpour, S., & Aghanoori, M. (2025) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2025.167925 · Cited by 15 · see citing works
der Auwera, S. V., Ameling, S., Wittfeld, K., Frenzel, S., Bülow, R., Nauck, M. A., Völzke, H., Völker, U., & Grabe, H. J. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25020887 · Cited by 15 · see citing works
“This disparity may, in part, be attributed to sex effects, underscoring the importance of conducting sex-specific analyses in identifying biological disease mechanisms [32,33].”
BackgroundFlotho, M., Amand, J., Hirsch, P., Grandke, F., Wyss‐Coray, T., Keller, A., & Kern, F. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad990 · Cited by 16 · see citing works
Yan, Z.-J., Ye, M., Li, J., Zhang, D., & Yao, Y. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00853-w · Cited by 15 · see citing works
“These results indicated sex-dependent heterogeneity in ChP pathology during early AD progression, which was consistent with reported sex effects in ChP [90–92] and other tissues [61, 93, 94].”
Guo, Y. L., Ma, G., Wang, Y., Lin, T., Hu, Y., & Zang, T. (2024) · Aging Cell · doi:10.1111/acel.14271 · Cited by 10 · see citing works
“…associated with epilepsy (Bartnik et al., 2012; Leitner et al., 2022 ); NR4A2 involved in intellectual developmental disorder with language impairment and early-onset dopa-responsive dystonia-parkinsonism (Kochmanski et al., 2022 ); APOE, known as the genetic risk factor for AD (Guo et al., 2023 ).”
Shwab, E. K., Pathak, G. A., Harvey, J., Belloy, M. E., Fischer, C. E., Lutz, M. W., Scholz, S. W., Cook, N., Reid, D. M., Chen, J., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70549 · Cited by 11 · see citing works
Kanarik, M., Liiver, K., Školnaja, M., Teino, I., Org, T., Laugus, K., Shimmo, R., Karelson, M. M., Saarma, M., & Harro, J. (2024) · Acta Neuropsychiatrica · doi:10.1017/neu.2024.36 · Cited by 9 · see citing works
Karnopp, E. V. N., dos Santos, F. G., Zanini, B. M., Cavalcante, M. B., Mason, J. B., Masternak, M. M., de Souza, I. C. C., & Schneider, A. (2025) · Physiology & Behavior · doi:10.1016/j.physbeh.2025.114886 · Cited by 8 · see citing works
Trivedi, M. R., Joshi, A. M., Shah, J., Readhead, B. P., Wilson, M. A., Su, Y., Reiman, E. M., Wu, T., & Wang, Q. (2025) · npj Aging · doi:10.1038/s41514-025-00258-5 · Cited by 8 · see citing works
Hosseinzadeh, S., Afshari, S., Molaei, S., Rezaei, N., & Dadkhah, M. (2023) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2023.578206 · Cited by 9 · see citing works
Sex differences in asthma: omics evidence and future directions
Peng, B., Ye, W., Liu, S., Jiang, Y., Meng, Z., Guo, M., Zhi, L., Chang, X., & Shao, L. (2025) · Frontiers in Genetics · doi:10.3389/fgene.2025.1560276 · Cited by 8 · see citing works
Topological and geometric signatures of brain network dynamics in Alzheimer's disease
Yi, L., Lutz, M. W., Wu, Y., Li, Y., & Songdechakraiwut, T. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70545 · Cited by 7 · see citing works
“46,47 Recent research demonstrates that centrality, reflecting how hub-like a region is, plays a critical role in dementia-related dysfunction, withastrongerassociationbetweenconnectivitychangesandregional centralityinfemalesthaninmales.”
Self-citationDo, A. N., Ali, M., Timsina, J., Wang, L., Western, D., Liu, M., Sanford, J., Rosende-Roca, M., Boada, M., Puerta, R., et al. (2024) · medRxiv · doi:10.1101/2024.03.15.24304164 · Cited by 6 · see citing works
Higher Intron Retention Levels in Female Alzheimer's Brains May Be Linked to Disease Prevalence
Choo, C., Leow, C., & Ong, C. (2025) · Aging Cell · doi:10.1111/acel.14457 · Cited by 6 · see citing works
“In line with fewer DEGs in males (Guo et al. 2023), there were only 135 up-and 121 down-regulated DEGs in male AD versus CT with unique pathways affected in each sex (Figure 1E and Data SD5).”
Jia, Y., Du, X., Wang, Y., Song, Q., & He, L. (2024) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2024.176485 · Cited by 5 · see citing works
Single‐cell landscape of sex‐specific drivers of Alzheimer's disease
Wu, Y., Travaglini, K. J., Gabitto, M. I., Keene, C. D., Dunn, A. R., Kaczorowski, C. C., Jager, P. L. D., Menon, V., Schneider, J. A., Bennett, D. A. A., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.71041 · Cited by 7 · see citing works
“29 In addition to the genomic evidence, multiple studies have characterized sex differences in AD using bulk multiomics measured in brain and blood tissue of humans and mice, 30–33 consistently high-lighting that sex-specific genes are enriched for immune response.”
Branciamore, S., Gogoshin, G., Rodin, A. S., & Myers, A. (2024) · Scientific Reports · doi:10.1038/s41598-024-65010-7 · Cited by 4 · see citing works
“Guo et al. 61 used multiscale network analyses applied to large-scale human postmortem brain transcriptomic data of LOAD from two cohorts to dissect the interplay of APOE, sex, and LDL receptor related protein 10 (LRP10) as a key LOAD driver.”
MethodSex differences in brain iron deposition and microglial ferritin in Alzheimer's disease
Rahman, S. M., Tan, C., Kakita, A., & Moruno-Manchon, J. F. (2025) · Science Progress · doi:10.1177/00368504251336080 · Cited by 4 · see citing works
Proteomic Signaling of Dual-Specificity Phosphatase 4 (DUSP4) in Alzheimer’s Disease
Wang, E., Pan, A. L., Bagchi, P., Rangaraju, S., Seyfried, N. T., Ehrlich, M. E., Salton, S. R., & Zhang, B. (2024) · Biomolecules · doi:10.3390/biom14010066 · Cited by 3 · see citing works
Self-citationLi, D., Xu, Z., Chen, Y., Wang, J., Sun, L. N., Yang, H., Zhang, X., Li, S., Xu, W., & Wang, Y. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.5017941 · Cited by 3 · see citing works
Yu, G., Thorpe, A. L., Zeng, Q., Wang, E., Cai, D., Wang, M., & Zhang, B. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.01.626234 · Cited by 3 · see citing works
Self-citationGenetic risk in Alzheimer’s disease
Pan, Y., Cho, H., Lou, Q., Zhang, W., Asken, B. M., & Song, Q. (2026) · npj Systems Biology and Applications · doi:10.1038/s41540-026-00665-8 · Cited by 3 · see citing works
Comparative Bioinformatic Analysis of the Proteomes of Rabbit and Human Sex Chromosomes
Pinto‐Pinho, P., Soares, J., Esteves, P. J., Pinto‐Leite, R., Fardilha, M., & Colaço, B. (2024) · Animals · doi:10.3390/ani14020217 · Cited by 2 · see citing works
Lachén‐Montes, M., Cartas‐Cejudo, P., Cortés, A., Anaya‐Cubero, E., Peral, E., Ausín, K., Díaz, R., Fernández‐Irigoyen, J., & Santamaría, E. (2024) · Biomolecules · doi:10.3390/biom14040394 · Cited by 2 · see citing works
Identifying brain disease genes via integrating brain imaging and molecular network
Wang, W., Wang, Y., & Peng, J. (2024) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm62325.2024.10821915 · Cited by 1 · see citing works
Sex and APOE genotype specific brain regional vulnerability to Alzheimer's Disease
Zeng, Q., Wang, M., Wang, E., Zhou, X., Xu, P., Haroutunian, V. H., Cai, D., Zhang, B., Initiative, M. O. T. A. D. N., Weiner, M. W., et al. (2026) · GeroScience · doi:10.1007/s11357-025-02089-4 · Cited by 2 · see citing works
“Our group has previously identified sex-and APOE-specific expressed genes in AD using large-scale brain transcriptomic data, and demonstrated that key molecular drivers, such as LRP10, contribute to sex-and APOE genotype-dependent AD pathology [18].”
Self-citationDai, D., Xiang, B., Dai, Y., Yang, P., Zhu, N., & Wang, S. Z. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1564721 · Cited by 1 · see citing works
“…the cognitive demands inherent in domestic responsibilities and community-level social roles may have afforded women a source of ongoing mental engagement—an informal pathway to cognitive maintenance that resonates with documented patterns of female neuropathological resilience (Guo et al., 2023).”
Sex differences in neuroplasticity and Alzheimer’s disease: A comprehensive review
Grira, R. (2025) · The Neuroscience Chronicles · doi:10.46439/neuroscience.5.029 · Cited by 1 · see citing works
Mao, S., Huang, X. Q., Chen, R., Zhang, C., Diao, Y., Li, Z., Wang, Q., Tang, S., & Guo, S. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae051 · Cited by 1 · see citing works
“The former was obtained from the Mount Sinai Medical Center Brain Bank, which included data from 85 samples of AD patients [23].”
MethodScarpa, J. R., & Mincer, J. S. (2024) · Neuroscience · doi:10.1016/j.neuroscience.2024.10.015 · Cited by 1 · see citing works
Interactome mapping reveals a role for LRP10 in autophagy and NDFIP1-mediated α-synuclein secretionPreprint
Mascaro, A. C., Ferraro, F., Boumeester, V., Breedveld, G. J., Dekkers, D. H. W., Vergouw, L. J. M., de Jong, F. J., Demmers, J., Bonifati, V., & Mandemakers, W. J. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.28.569009
Kanarik, M., Liiver, K., Školnaja, M., Teino, I., Org, T., Laugus, K., Shimmo, R., Karelson, M. M., Saarma, M., & Harro, J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.08.574593
“…similarly been linked to Parkinson's disease but also other neurodegenerative diseases, whereas its role has been attributed to astrocytic vesicle trafficking (Grochowska et al., 2021), and its contribution to neurodegeneration suggested to be significant specifically in females (Guo et al., 2023).”
BackgroundRomero-Murillo, S., Lachén‐Montes, M., Cartas‐Cejudo, P., Anaya‐Cubero, E., de Miguel, M., Extramiana, L., Ferrer, I., Fernández‐Irigoyen, J., & Santamaría, E. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.26.690815
Lin, B., Chai, L., Zuo, S., Dai, Y., Chen, L., & Huang, J. (2026) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-25-00606
Wu, Z., Tan, Q., Xue, F., Jiang, Z., Zhao, H., Zhang, Y., Liu, Y., Zhang, Y., Ding, D., Chen, H., et al. (2026) · Alzheimer s Research & Therapy · doi:10.1186/s13195-026-02081-w · Cited by 1 · see citing works
“Guo et al. identified LRP10 as a female-specific regulatory hub; its overexpression disrupts key interactions and accelerates AD-related pathways [5].”
Wang, H., Liu, S.-Y., Chiu, C., Yeh, T., Chiu, T.-J., Yeh, Y.-C., Wu, P., & Weng, Y.-H. (2026) · Neurochemistry International · doi:10.1016/j.neuint.2026.106186
Romero-Murillo, S., Lachén‐Montes, M., Cartas‐Cejudo, P., Anaya‐Cubero, E., Miguel, M. D., Extramiana, L., Ferrer, I., Fernández‐Irigoyen, J., & Santamaría, E. (2026) · Biology of Sex Differences · doi:10.1186/s13293-026-00930-9
“Also, recent multi-omic studies reveal sex-specific molecular networks, differences in microglial signature and miRNA regulation, and metabolic and proteomic variations that may drive AD pathology differently in men versus women [38, 45–48].”
Imani, F., Kargar, M., & Assadzadeh, A. (2025) · International Conference on Signal Processing and Intelligent Systems (ICSPIS) · doi:10.1109/icspis68676.2025.11551768
Sriram, A., Attili, S. M., & Seshaiyer, P. (2026) · Research Square · doi:10.21203/rs.3.rs-10233914/v1
Trends in the development of dietary supplements and biologically active food additives
Lukyanenko, M. V., Donchenko, L. V., Vasilev, A. A., Sobol, I. V., Варивода, А. А., & (Grushina), E. Y. U. (2025) · Proceedings of the Voronezh State University of Engineering Technologies · doi:10.20914/2310-1202-2025-4-165-172
de Ávila, C., Chakraborti, A., Gundlach, A. L., & Maeng, L. Y. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1852733
Gene therapy in Alzheimer’s disease (AD)
Bemanalizadeh, M., Ashrafi, M., Eslami, M., Moein, S., Kazemi, A., & Mansouri, V. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-40467-2.00014-2
Abdelfattah, N., Kang, R., Jimenez, D., Villapol, S., Toledo, J., Hohman, T. J., Jung, S. Y., & Yun, K. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.16.752221
“…studies have also characterized sex differences in AD using bulk transcriptomics approaches, implicating microglia and immune-related gene networks in sex-specific AD pathology, including a female-specific network driver (LRP10) with downstream effects on neuronal and microglial population 12,13 .”
- Authors
- Guo, L., Cao, J., Hou, J., Li, Y., Huang, M., Zhu, L., Zhang, L., Lee, Y., Duarte, M. L., Zhou, X., Wang, M., Liu, C.-C., Martens, Y., Chao, M., Goate, A., Bu, G., Haroutunian, V., Cai, D., & Zhang, B.
- Affiliations
- Icahn School of Medicine at Mount Sinai (US)
- James J. Peters VA Medical Center (US)
- Mayo Clinic (US)
- Yale University (US)
- Corresponding author
- Cai, Dongming
- Zhang, Bin
- ORCID
- Venue
- Molecular Neurodegeneration
- Published
- 2023-06-20
- Volume
- 18
- Issue
- 1
- Pages
- 39-39
- ISSN
- 1750-1326 (ISSN-L)
- PMC
- PMC10280841
- OpenAlex
- W4381435341
- Semantic Scholar
- 02cafd5ea62be8b72d70a85fbe237ab7d651cab3
- Cited by
- 49
- References
- 72
- Citations by year
- 2026: 11 · 2025: 14 · 2024: 18 · 2023: 6
- FWCI
- 7.06
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Molecular Neurodegeneration (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Informationszentrum Lebenswissenschaften (ZB MED) (submittedVersion, cc-by)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Funders
- NIH/NIA (RF1AG048923, RF1AG054014, RO1AG068030, R56AG058655, RF1AG074010, UO1AG046170, RF1AG057440, UO1AG052411)
- U.S. Department of Veterans Affairs (I01BX003380, I01RX002290)
- NIA/NIA (RO1AG057907)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, sex differences, APOE genotype, gene co-expression network, CD34, microglia, neurons, cognitive function, neurodegeneration
- MeSH terms
- Alzheimer Disease, Animals, Apolipoproteins E, Brain, Female, Humans, Male, LDL-Receptor Related Proteins, Mice, Gene Regulatory Networks, Transcriptome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-18.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-18.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review