Disruption of hippocampal upstream regulators of mTOR and insulin pathways in Down syndrome with Alzheimer's disease neuropathology: Preliminary observations

Probably not a substantial claim: may not pass S3 (load-bearing).

Upstream activators of the mTORC1/2 complexes include PI3K, Akt, INS, and IGF1.

“Upstream activators of the mTORC1/2 complexes include phosphatidylinositol 3‐kinase (PI3K), protein kinase B (Akt), insulin (INS), and insulin‐like growth factor 1 (IGF1). 9”

• cites [9] Perluigi M, Picca A, Montanari E et al. Aberrant crosstalk between insulin signaling and mTOR in young Down syndrome individuals revealed by neuronal‐derived extracellular vesicles. Alzheimers Dement. 2022; 18: 1498‐ 1510. doi: 10.1002/alz.12499 34812584 PMC10131479 sourcePartly supported

  The Discussion describes insulin/PI3K signaling, identifies mTOR as a downstream target of Akt, and says insulin promotes activation of the Akt/mTOR axis. It does not identify IGF1 as an upstream activator or establish the claim separately for both mTORC1 and mTORC2. (LLM, conf=0.86)

  Experimental — accuracy not yet measured

Probably not a substantial claim: may not pass S3 (load-bearing).

DS leads to variable intellectual deficits.

“leading to variable intellectual deficits 1”

• cites [1] Antonarakis SE, Skotko BG, Rafii MS, Strydom A, Pape SE, Bianchi DW, et al. Down syndrome. Nat Rev Dis Primers. 2020; 6(1): 9. doi: 10.1038/s41572‐019‐0143‐7 32029743 PMC8428796 sourceSupported

Probably not a substantial claim: may not pass S3 (load-bearing).

The extra copy of the amyloid precursor protein (APP) gene increases the penetrance of AD in DS.

“Although the extra copy of the amyloid precursor protein (APP) gene increases the penetrance of AD in DS, 2 , 6”

• cites [2] Fortea J, Zaman SH, Hartley S, Rafii MS, Head E, Carmona‐Iragui M. Down syndrome‐associated Alzheimer's disease: a genetic form of dementia. Lancet Neurol. 2021; 20(11): 930‐ 942. doi: 10.1016/S1474‐4422(21)00245‐3 34687637 PMC9387748 sourceSupported
• cites [6] Wiseman FK, Al‐Janabi T, Hardy J et al. A genetic cause of Alzheimer disease: mechanistic insights from Down syndrome. Nat Rev Neurosci. 2015; 16(9): 564‐ 574. doi: 10.1038/nrn3983 26243569 PMC4678594 sourceSupported

Probably not a substantial claim: may not pass S3 (load-bearing).

mTORC2 regulates cellular proliferation, migration, and survival.

“whereas the mTOR complex 2 (mTORC2) regulates cellular proliferation, migration, and survival. 8”

• cites [8] Saxton RA, Sabatini DM. mTOR signaling in growth, metabolism, and disease. Cell. 2017; 168: 960‐ 976. doi: 10.1016/j.cell.2017.02.004 28283069 PMC5394987 sourceSupported

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

mTORC1 regulates cell growth, autophagy, and protein synthesis.

“The mTOR complex 1 (mTORC1) regulates cell growth, autophagy, and protein synthesis”

• cites [8] Saxton RA, Sabatini DM. mTOR signaling in growth, metabolism, and disease. Cell. 2017; 168: 960‐ 976. doi: 10.1016/j.cell.2017.02.004 28283069 PMC5394987 sourceSupported

Probably not a substantial claim: may not pass S3 (load-bearing).

mTORC1 can be further activated by mTORC2 via phosphorylation of Akt.

“mTORC1 can be further activated by mTORC2 via phosphorylation of Akt. 10”

• cites [10] Yoon MS. The role of mammalian target of rapamycin (mTOR) in insulin signaling. Nutrients. 2017; 9(11): 1176. doi: 10.3390/nu9111176 29077002 PMC5707648 sourceSupported

May combine two claims.

INS-independent mTOR hyperactivation leads to excessive degradation of IRS1, resulting in brain INS resistance.

“Moreover, the occurrence of INS‐independent mTOR hyperactivation leads to excessive degradation of IRS1, resulting in brain INS resistance 9 , 14”

• cites [9] Perluigi M, Picca A, Montanari E et al. Aberrant crosstalk between insulin signaling and mTOR in young Down syndrome individuals revealed by neuronal‐derived extracellular vesicles. Alzheimers Dement. 2022; 18: 1498‐ 1510. doi: 10.1002/alz.12499 34812584 PMC10131479 sourcePartly supported

  The Discussion (page unavailable) proposes that mTOR/p70S6K hyperactivation may cause IRS1 inhibition in children with Down syndrome and links chronic mTOR hyperactivation to reduced insulin sensitivity. It identifies IRS1 phosphorylation and inhibition, not excessive IRS1 degradation; it also does not establish that mTOR hyperactivation is independent of insulin signaling. The claim states the proposed causal link more definitively than the paper does. (LLM, conf=0.88)

  Experimental — accuracy not yet measured
• cites [14] Barone E. Brain insulin resistance: an early risk factor for Alzheimer's disease development in Down syndrome. Neural Regen Res. 2022; 17: 333‐ 335. doi: 10.4103/1673‐5374.317979 34269205 PMC8463986 sourcePartly supported

  In the paper’s discussion of brain insulin resistance (page not provided), mTOR hyperactivation is linked to IRS1 inhibition and brain insulin resistance. The Figure 1 caption describes IRS1 inhibition through serine phosphorylation and uncoupling from the insulin receptor; it does not establish excessive IRS1 degradation or specify that the mTOR hyperactivation is insulin-independent. (LLM, conf=0.87)

  Experimental — accuracy not yet measured

Probably not a substantial claim: may not pass S3 (load-bearing).

PTEN is a key negative regulator within the shared PI3K/Akt signaling cascade.

“PTEN is a key negative regulator within the shared PI3K/Akt signaling cascade 42”

• cites [42] Tramutola A, Lanzillotta C, Di Domenico F et al. Brain insulin resistance triggers early onset Alzheimer disease in Down syndrome. Neurobiol Dis. 2020; 137: 104772. doi: 10.1016/j.nbd.2020.104772 31987911 sourceSupported

Probably not a substantial claim: may not pass S3 (load-bearing).

PTEN upstream regulators affect both mTOR and INS pathways.

“PTEN upstream regulators affect both mTOR and INS pathways. 41”

• cites [41] Chwin N, Kiryk A. The integral role of PTEN in brain function: from neurogenesis to synaptic plasticity and social behavior. Acta Neurobiol Exp (Wars). 2025; 84(4): 309‐ 318. doi: 10.55782/ane‐2024‐2657 39812527 sourcePartly supported

  The “Intracellular signaling cascade of PTEN/PI3K-Akt-mTOR pathway” section says PTEN inhibits signaling through PI3K, Akt, and mTOR. It also describes feedback from mTORC1 to insulin receptor substrate-1 (IRS-1), but does not say that upstream regulators of PTEN affect both the mTOR and INS pathways. (LLM, conf=0.78)

  Experimental — accuracy not yet measured

Classified as probably not a substantial claim.

Neuronal populations in the dentate gyrus (DG), CA1-4 subfields, and subiculum are selectively vulnerable in AD and DS-AD.

“which are selectively vulnerable in AD and DS‐AD. 17”

• cites [17] Mu Y, Gage FH. Adult hippocampal neurogenesis and its role in Alzheimer's disease. Mol Neurodegener. 2011; 6: 85. doi: 10.1186/1750‐1326‐6‐85 22192775 PMC3261815 sourcePartly supported

  The Introduction (page not provided) says that the hippocampus is among the earliest brain areas affected in AD and identifies the DG, CA1–CA3, and subiculum as parts of the hippocampal formation. It does not establish selective vulnerability for each listed neuronal population, does not include CA4 in that list, and does not address DS-AD. (LLM, conf=0.87)

  Experimental — accuracy not yet measured

Probably not a substantial claim: may not pass S3 (load-bearing).

PTEN is important for regulation of neurogenesis.

“and is important for regulation of neurogenesis. 41”

• cites [41] Chwin N, Kiryk A. The integral role of PTEN in brain function: from neurogenesis to synaptic plasticity and social behavior. Acta Neurobiol Exp (Wars). 2025; 84(4): 309‐ 318. doi: 10.55782/ane‐2024‐2657 39812527 sourceSupported

Probably not a substantial claim: may not pass S1 (asserted).

Reduced neurogenesis occurs in both humans with DS-AD and DS mouse models.

“We expected to find specific alterations in the DG due to reduced neurogenesis in both humans with DS‐AD and DS mouse models. 38 , 39”

• cites [38] Giffin‐Rao Y, Sheng J, Strand B et al. Altered patterning of trisomy 21 interneuron progenitors. Stem Cell Reports. 2022; 17: 1366‐ 1379. doi: 10.1016/j.stemcr.2022.05.001 35623352 PMC9214050 sourcePartly supported

  The Introduction (page unavailable) links fewer neurons in people with Down syndrome to reduced neurogenesis. The References section (page unavailable) lists a study of decreased cell proliferation in the dentate gyrus of Down syndrome fetuses and in Ts65Dn mice. Neither passage establishes reduced neurogenesis specifically in humans with DS-AD, so the claim extends beyond what this paper supports. (LLM, conf=0.85)

  Experimental — accuracy not yet measured
• cites [39] Moreno DG, Utagawa EC, Arva NC, Schafernak KT, Mufson EJ, Perez SE. Postnatal Cytoarchitecture and neurochemical hippocampal dysfunction in Down Syndrome. J Clin Med. 2021; 10(15): 3414. doi: 10.3390/jcm10153414 34362198 PMC8347520 sourcePartly supported

  The Introduction reports impaired neurogenesis in human DS fetuses and restoration of neurogenesis after treatment in a Ts65Dn DS mouse model. The Discussion (§4.1) also suggests a postnatal neurogenesis/migration deficit in children with DS. These passages concern developmental DS, not humans with DS-associated Alzheimer’s disease (DS-AD), so the human population specified in the claim is not supported. (LLM, conf=0.87)

  Experimental — accuracy not yet measured

Classified as probably not a substantial claim.

In ST experiments, methods designed to control false-positive rates by accounting for spatial correlations were applied.

“In ST experiments, for comparisons of DEGs as well as alterations in upstream regulators from specific ROIs within corresponding clusters between DS‐AD and HC groups, we applied methods designed to control false‐positive rates by accounting for spatial correlations. 28”

• cites [28] Wang Y, Zang C, Li Z, Guo CC, Lai D, Wei P. A comparative study of statistical methods for identifying differentially expressed genes in spatial transcriptomics. PLoS Comput Biol. 2026; 22: e1013956. doi: 10.1371/journal.pcbi.1013956 41671295 PMC12912703 sourceSupported

Classified as probably not a substantial claim.

All cases underwent neuropathological assessment by a board-certified neuropathologist according to a modified National Institute on Aging-Alzheimer's Association protocol.

“All cases underwent neuropathological assessment by a board‐certified neuropathologist according to a modified National Institute on Aging—Alzheimer's Association protocol. 4”

• cites [4] Aldecoa I, Barroeta I, Carroll SL et al. Down syndrome biobank consortium: a perspective. Alzheimers Dement. 2024; 20: 2262‐ 2272. doi: 10.1002/alz.13692 38270275 PMC10984425 sourcePartly supported

  The Methods section, “Tissue and biofluid processing” (page not provided), says tissue sections are stained according to NIA–AA protocols and describes stains used for neuropathological examination. It does not say that all cases were assessed by a board-certified neuropathologist or that the protocol was modified. (LLM, conf=0.86)

  Experimental — accuracy not yet measured

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

DV200 analysis has proven to be a sufficient RNA quality index, with a stronger correlation with the amount of library product than the RNA integrity number for FFPE samples.

“DV200 analysis measures the percentage of RNA fragments which are > 200 nucleotides in length within a sample, and has proven to be a sufficient RNA quality index, with a stronger correlation with the amount of library product, than the RNA integrity number for FFPE samples. 18”

• cites [18] Matsubara T, Soh J, Morita M et al. DV200 Index for assessing RNA integrity in next‐generation sequencing. Biomed Res Int. 2020; 2020: 9349132. doi: 10.1155/2020/9349132 32185225 PMC7063185 sourceSupported

Probably not a substantial claim: may not pass S3 (load-bearing).

In the AD brain, Aβ recruits PTEN protein into neuronal synapses, which drives synaptic depression.

“In the AD brain, Aβ recruits PTEN protein into neuronal synapses, which drives synaptic depression. 62”

• cites [62] Diaz Gonzalez M, Buberman A, Morales M, Ferrer I, Knafo S. Aberrant synaptic PTEN in symptomatic Alzheimer's patients may link synaptic depression to network failure. Front Synaptic Neurosci. 2021; 13: 683290. doi: 10.3389/fnsyn.2021.683290 34045952 PMC8144462 sourcePartly supported

  The Discussion (page not supplied) describes Aβ-driven PTEN recruitment and synaptic depression as a proposed mechanism supported by cellular AD models. In human AD brains, the paper finds increased synaptic PTEN associated with synaptic changes, but does not establish that Aβ causes PTEN recruitment or that PTEN drives depression there. The claim states that causal sequence in the AD brain more firmly than the source does. (LLM, conf=0.86)

  Experimental — accuracy not yet measured

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

EIF4E contributes to Tau hyperphosphorylation and Aβ accumulation.

“EIF4E contributes to Tau hyperphosphorylation and Aβ accumulation. 50”

• cites [50] Cai Z, Zhou Y, Xiao M, Yan L‐J, He W. Activation of mTOR: a culprit of Alzheimer's disease? Neuropsychiatr Dis Treat. 2015; 11: 1015‐ 1030. doi: 10.2147/NDT.S75717 25914534 PMC4399516 sourcePartly supported

  In “The downstream components of mTOR signaling associated with AD” (page unavailable), the review links phosphorylated eIF4E to hyperphosphorylated tau and suggests it contributes to neurofibrillary changes. It does not say eIF4E causes tau hyperphosphorylation or Aβ accumulation; the Aβ pathway discussed there involves eIF2α and BACE1 instead. (LLM, conf=0.86)

  Experimental — accuracy not yet measured

May combine two claims.

Proteomic PPI networks in CA1, CA2, and subiculum showed increased abundance of proteins involved in glial activation, neutrophil degranulation, leukocyte adhesion, complement C1q complexes, and RAC-NOX2-mediated inflammatory signaling supporting proteomics findings in DS-AD and other subtypes of AD.

“Moreover, proteomic PPI networks in CA1, CA2, and subiculum showed increased abundance of proteins involved in glial activation, neutrophil degranulation, leukocyte adhesion, complement C1q complexes, and RAC–NOX2–mediated inflammatory signaling supporting proteomics findings in DS‐AD and other subtypes of AD. 51 , 63”

• cites [51] Martá‐Ariza M, Leitner DF, Kanshin E et al., et al. Comparison of the amyloid plaque proteome in Down syndrome, early‐onset Alzheimer's disease, and late‐onset Alzheimer's disease. Acta Neuropathol. 2025; 149: 9. doi: 10.1007/s00401‐025‐02844‐z 39825890 PMC11742868 sourcePartly supported

  Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

  Experimental — accuracy not yet measured
• cites [63] Askenazi M, Kavanagh T, Pires G, Ueberheide B, Wisniewski T, Drummond E. Compilation of reported protein changes in the brain in Alzheimer's disease. Nat Commun. 2023; 14: 4466. doi: 10.1038/s41467‐023‐40208‐x 37491476 PMC10368642 sourcePartly supported

  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

Classified as probably not a substantial claim.

Previous transcriptomic-proteomic studies have shown that mRNA and protein abundance are often only modestly correlated.

“Because previous transcriptomic–proteomic studies have shown that mRNA and protein abundance are often only modestly correlated, 46 , 47 , 48”

• cites [46] Buccitelli C, Selbach M. mRNAs, proteins and the emerging principles of gene expression control. Nat Rev Genet. 2020; 21: 630‐ 644. doi: 10.1038/s41576‐020‐0258‐4 32709985 sourceNot checked — no full text of the source
• cites [47] Leitner DF, Lin Z, Sawaged Z et al. Brain molecular mechanisms in Rasmussen encephalitis. Epilepsia. 2023; 64: 218‐ 230. doi: 10.1111/epi.17457 36336987 PMC9852002 sourceSupported
• cites [48] Seyfried NT, Dammer EB, Swarup V et al. A multi‐network approach identifies protein‐specific co‐expression in asymptomatic and symptomatic Alzheimer's Disease. Cell Syst. 2017; 4: 60– 72 e4. doi: 10.1016/j.cels.2016.11.006 27989508 PMC5269514 sourceSupported

May combine two claims.

Hyperactivation of the S6K proteins correlates with increased Tau pathology and dysregulation of the insulin/IGF/mTOR signaling pathway, both in individuals with DS-AD and in idiopathic AD.

“Hyperactivation of the S6K proteins correlates with increased Tau pathology and dysregulation of the insulin/IGF/mTOR signaling pathway, both in individuals with DS‐AD 55 and in idiopathic AD. 56”

• cites [55] Hartley D, Blumenthal T, Carrillo M et al., Down syndrome and Alzheimer's disease: common pathways, common goals. Alzheimers Dement. 2015; 11: 700‐ 709. doi: 10.1016/j.jalz.2014.10.007 25510383 PMC4817997 sourceCould not verify

  Section 2 links tau pathology to DYRK1A, not S6K proteins. Section 3 mentions insulin and mTOR among metabolic pathways relevant to DS and AD research, but does not report S6K hyperactivation or the claimed correlation. Searches for S6K and insulin/IGF/mTOR signaling found no passage establishing that relationship. (LLM, conf=0.74)

  Experimental — accuracy not yet measured
• cites [56] Norambuena A, Wallrabe H, McMahon L, Silva A, Swanson E, Khan SS, et al. mTOR and neuronal cell cycle reentry: how impaired brain insulin signaling promotes Alzheimer's disease. Alzheimers Dement. 2017; 13(2): 152‐ 167. doi: 10.1016/j.jalz.2016.08.015 27693185 PMC5318248 sourcePartly supported

  For the idiopathic AD portion to which citation 56 is attached, Results §4.5 links mTOR activity to tau phosphorylation, probably through S6K, and Results §4.6 reports tau phosphorylation in human AD tissue. The paper does not report a correlation in those individuals between S6K hyperactivation, increased tau pathology, and dysregulation of the insulin/IGF/mTOR pathway. The DS-AD portion has a separate citation and is not assessed against this source. (LLM, conf=0.84)

  Experimental — accuracy not yet measured

Probably not a substantial claim: may not pass S3 (load-bearing).

CA1/CA2 neurons are vulnerable to AD pathology.

“This was particularly evident in CA1/CA2 neurons, which are vulnerable to AD pathology. 58”

• cites [58] Kerchner GA, Deutsch GK, Zeineh M, Dougherty RF, Saranathan M, Rutt BK. Hippocampal CA1 apical neuropil atrophy and memory performance in Alzheimer's disease. Neuroimage. 2012; 63: 194‐ 202. doi: 10.1016/j.neuroimage.2012.06.048 22766164 PMC3677969 sourcePartly supported

  The Introduction (page unavailable) describes the CA1 apical neuropil as especially vulnerable to early AD pathology and says pathology there precedes loss of CA1 pyramidal neurons. The paper does not establish that CA2 neurons are vulnerable; its mention of CA2 in Methods concerns anatomical boundaries. (LLM, conf=0.87)

  Experimental — accuracy not yet measured

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

This cell specific response may be due to the activation of the PTEN pathway in glia as dysregulated PTEN protein in microglia leads to its abnormal activation.

“This cell specific response may be due to the activation of the PTEN pathway in glia as dysregulated PTEN protein in microglia leads to its abnormal activation. 61”

• cites [61] Zhou X, Wei J, Li L et al. Microglial Pten safeguards postnatal integrity of the cortex and sociability. Front Immunol. 2022; 13: 1059364. doi: 10.3389/fimmu.2022.1059364 36591296 PMC9795847 sourcePartly supported

  The Results section, “Postnatal Pten ablation leads to accumulation of activated microglia,” reports that PTEN ablation leads to an activated microglial state. This supports the claim about dysregulated PTEN and microglial activation, but the paper studies PTEN loss rather than showing that activation of a PTEN pathway in glia explains the citing document’s cell-specific response. (LLM, conf=0.86)

  Experimental — accuracy not yet measured

Probably not a substantial claim: may not pass S3 (load-bearing).

The S6 kinases (S6Ks) are activated by the mTORC1 complex acting as effectors.

“The S6 kinases (S6Ks) are activated by the mTORC1 complex acting as effectors.”

• cites [38] Giffin‐Rao Y, Sheng J, Strand B et al. Altered patterning of trisomy 21 interneuron progenitors. Stem Cell Reports. 2022; 17: 1366‐ 1379. doi: 10.1016/j.stemcr.2022.05.001 35623352 PMC9214050 sourceCould not verify

  The Results sections on Ts21 progenitors discuss WNT and SHH signaling, but do not address whether mTORC1 activates S6 kinases. Searches for mTORC1, S6 kinase activation, and S6Ks returned no passage supporting the claim; page numbers were unavailable in our copy. (LLM, conf=0.72)

  Experimental — accuracy not yet measured

May combine two claims.

Our findings support a hyperactivated AKT/mTOR/p70S6K axis with IRS1 inhibition in humans with DS-AD.

“Our findings support a hyperactivated AKT/mTOR/p70S6K axis with IRS1 inhibition in humans with DS‐AD. 7 , 9 , 59”

• cites [7] Wohlfert AJ, Phares J, Granholm AC. The mTOR pathway: a common link between Alzheimer's disease and Down Syndrome. J Clin Med. 2024; 13(20): 6183. doi: 10.3390/jcm13206183 39458132 PMC11508835 sourcePartly supported

  Section 2.1 (page unavailable) reports increased IRS-1 phosphorylation and a hyperactivated Akt/mTOR/p70S6K axis in blood-derived exosomes from young children with DS. Section 2.2 (page unavailable) reports PI3K/Akt/mTOR hyperactivation in people with DS with or without AD. The copy does not establish the combined axis hyperactivation and IRS-1 inhibition specifically in humans with DS-AD; it presents the childhood finding as potentially relevant to later AD pathology. (LLM, conf=0.86)

  Experimental — accuracy not yet measured
• cites [9] Perluigi M, Picca A, Montanari E et al. Aberrant crosstalk between insulin signaling and mTOR in young Down syndrome individuals revealed by neuronal‐derived extracellular vesicles. Alzheimers Dement. 2022; 18: 1498‐ 1510. doi: 10.1002/alz.12499 34812584 PMC10131479 sourcePartly supported

  The Discussion reports IRS1 inhibition alongside increased Akt, mTOR, and P70S6K activation in neuronal-derived vesicles from children with Down syndrome. It also cites prior findings of aberrant mTOR signaling in people with Down syndrome with and without AD, but it does not establish the full axis with IRS1 inhibition specifically in humans with DS-AD. Page numbers were not available in our copy. (LLM, conf=0.86)

  Experimental — accuracy not yet measured
• cites [59] Perluigi M, Pupo G, Tramutola A, et al. Neuropathological role of PI3K/Akt/mTOR axis in Down syndrome brain. Biochim Biophys Acta. 2014; 1842(7): 1144‐ 1153. doi: 10.1016/j.bbadis.2014.04.007 24735980 PMC4062876 sourceSupported

• AssumptionRests on an assumption: IRS-1 causes disruptions in the activation of downstream targets, such as PI3K.

May combine two claims.

Several factors inhibit insulin signaling including oxidative stress, which occurs in DS due to the triplication of the SOD1 and APP genes on Hsa21, and mTORC1-mediated phosphorylation of the IRS-1 protein.

“Several factors inhibit insulin signaling including oxidative stress, which occurs in DS due to the triplication of the SOD1 and APP genes on Hsa21, 68 and mTORC1‐mediated phosphorylation of the IRS‐1 protein 69 .”

• cites [68] Ram G, Chinen J. Infections and immunodeficiency in Down syndrome. Clin Exp Immunol. 2011; 164: 9‐ 16. doi: 10.1111/j.1365‐2249.2011.04335.x 21352207 PMC3074212 sourceNot checked — no full text of the source
• cites [69] Hsu PP, Kang SA, Rameseder J et al. The mTOR‐regulated phosphoproteome reveals a mechanism of mTORC1‐mediated inhibition of growth factor signaling. Science. 2011; 332: 1317‐ 1322. doi: 10.1126/science.1199498 21659604 PMC3177140 sourceSupported

Classified as probably not a substantial claim. May combine two claims.

ST spot-based sequencing captures hundreds to thousands of genes across localized areas, yielding deeply granular, multidimensional datasets while maintaining anatomical structure, which single-cell or bulk RNA sequencing alone cannot provide.

“Despite our low number of cases, ST spot‐based sequencing captures hundreds to thousands of genes across localized areas, thereby yielding deeply granular, multidimensional datasets, while maintaining anatomical structure, 28 that single‐cell or bulk RNA sequencing alone cannot provide.”

• cites [28] Wang Y, Zang C, Li Z, Guo CC, Lai D, Wei P. A comparative study of statistical methods for identifying differentially expressed genes in spatial transcriptomics. PLoS Comput Biol. 2026; 22: e1013956. doi: 10.1371/journal.pcbi.1013956 41671295 PMC12912703 sourcePartly supported

  Split into 2 atoms — 1 confirmed, 1 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.

Intra-hippocampal INS induced long-term potentiation in the DG, and INS resistance negatively affects neuronal function especially in the DG.

“Intra‐hippocampal INS induced long‐term potentiation in the DG, 15 and INS resistance negatively affects neuronal function especially in the DG. 72”

• cites [15] Barutçu Ö, Süer C, Dursun N, Tufan E, Gülpınar EA, Tan B, Tan B. Insulin‐induced long‐term potentiation in the dentate gyrus of hippocampal formation. Psychoneuroendocrinology. 2023; 157: 106343. doi: 10.1016/j.psyneuen.2023.106343 37562098 sourceNot checked — no full text of the source
• cites [72] Yang C, Zhang H, Ma Z et al. Structural and functional alterations of the hippocampal subfields in T2DM with mild cognitive impairment and insulin resistance: a prospective study. J Diabetes. 2024; 16: e70029. doi: 10.1111/1753‐0407.70029 39537579 PMC11560383 sourcePartly supported

  The citation to this paper is attached to the insulin-resistance clause, not the preceding long-term-potentiation claim. In the Discussion (page unavailable), the authors report reduced dentate-gyrus granule-cell-layer volume and propose that reduced insulin action may impair neurogenesis there. They do not directly establish that insulin resistance damages neuronal function, so the citing sentence states the proposed mechanism more firmly than the source does. (LLM, conf=0.83)

  Experimental — accuracy not yet measured

May combine two claims.

Upstream regulator analysis revealed 16 upstream regulators predicted to be activated (10 significantly) and 10 predicted to be inhibited (8 significantly) in DS-AD compared to HC.

“This analysis revealed 16 upstream regulators predicted to be activated (10 significantly) and 10 predicted to be inhibited (8 significantly).”

May combine two claims.

In CA1, TP53 and MYC were predicted to be activated, while BDNF was predicted to be inhibited.

“Additional modulators linked to mTOR signaling, including TP53 and MYC, were predicted to be activated, while brain‐derived neurotrophic factor (BDNF) was predicted to be inhibited”

May combine two claims.

In CA1, RICTOR showed strong predicted activation, whereas KRAS and INSR were predicted to be inhibited and EGFR showed a mild activation trend.

“RICTOR showed strong predicted activation, whereas KRAS and INSR were predicted to be inhibited and EGFR showed a mild activation trend.”

May combine two claims.

INS/IGF signaling pathway regulatory component RNAs (IGF1R, INSR, PDK1) showed consistent upregulation in Z scores across different hippocampal subregions and the SC, contrary to the variability in activation Z scores for the same drivers.

“Notably, the INS/IGF signaling pathway regulatory component RNAs (IGF1R, INSR, PDK1) showed consistent upregulation in Z scores across different hippocampal subregions and the SC (Figure 3F), contrary to the variability in activation Z scores for the same drivers (Figure 3E).”

May combine two claims.

CA3 showed 11 significant canonical pathways including ECM organization; formation of the dystrophin-glycoprotein complex; integrin cell surface interactions; paracetamol absorption, distribution, metabolism, and excretion; and Hippo signaling, all predicted to be activated.

“CA3 showed fewer enriched pathways, with 11 significant canonical pathways including ECM organization; formation of the dystrophin–glycoprotein complex; integrin cell surface interactions; paracetamol absorption, distribution, metabolism, and excretion; and Hippo signaling, all predicted to be activated (Figure 5C).”

May combine two claims.

Both SGK1 and APP showed overexpression in the pseudo bulk analysis, with more pronounced overexpression in the DG in DS-AD cases.

“Although both genes showed overexpression in the pseudo bulk analysis, there was a more pronounced overexpression in the DG in DS‐AD cases”

May combine two claims.

Comparison to ST data showed that RICTOR was upregulated in CA1/2, DG, and SC; KRAS in CA3/4 and CA1/2; and INSR in CA1/2 and SC, whereas EGFR was not significantly altered at the RNA level.

“comparison to the ST data showed that RICTOR was upregulated in CA1/2, DG, and SC; KRAS in CA3/4 and CA1/2; and INSR in CA1/2 and SC, whereas EGFR was not significantly altered at the RNA level.”

May combine two claims.

Two other Hsa21 genes, SOD1 and S100b, were both overexpressed to a greater degree than expected based on the triplication of Hsa21.

“Interestingly, two other Hsa21 genes, SOD1 and S100b, were both overexpressed to a greater degree than expected based on the triplication of Hsa21 (Figure 1G).”

May combine two claims.

In CA3, AKT1 showed a positive activation trend, whereas KRAS and MEK showed inhibitory trends.

“AKT1 showed a positive activation trend, whereas KRAS and MEK showed inhibitory trends.”

May combine two claims.

IPA identified significant enrichment of biological pathways across hippocampal subregions, with both shared and region-specific patterns.

“IPA identified significant enrichment of biological pathways across hippocampal subregions, with both shared and region‐specific patterns (Tables S5 to 10 in supporting information).”

May combine two claims.

In CA2, HNF4A, NFE2L2, and SNCA were predicted to be activated, while BDNF was predicted to be inhibited.

“Additional regulators, including HNF4A, NFE2L2, and SNCA, were predicted to be activated, while BDNF was predicted to be inhibited.”

May combine two claims.

SGK1 was upregulated in the pseudo bulk analysis in CA3/CA4 neurons but downregulated in the DG.

“SGK1 was also upregulated in the pseudo bulk analysis in CA3/CA4 neurons but downregulated in the DG (see Figure 1I).”

The quote only partly states this claim.

Analysis showed downregulation of mRNA expression for 7 genes (PRKCG, PTEN, PRKCB, MTOR, PRKCA, EIF4E, and ULK1) in DS-AD CA3/CA4 compared to HC.

“and the downregulation of mRNA expression for 7 genes (PRKCG, PTEN, PRKCB, MTOR, PRKCA, EIF4E, and ULK1) in DS‐AD compared to the HC group.”

May combine two claims.

The SC showed 54 significant pathways, including ECM organization, formation of the dystrophin-glycoprotein complex, GP6 signaling, integrin cell surface interactions, and myelination signaling, all predicted to be activated.

“The SC showed broader pathway enrichment, with 54 significant pathways, including ECM organization, formation of the dystrophin–glycoprotein complex, GP6 signaling, integrin cell surface interactions, and myelination signaling, all predicted to be activated (Figure 5F).”

May combine two claims.

AKT1 upstream regulator gene was upregulated in CA3/CA4 neurons but downregulated in the SC.

“For example, the AKT1 upstream regulator gene was upregulated in the CA3/CA4 neurons but downregulated in the SC.”

May combine two claims.

Analysis revealed several genes located on Hsa21 that were predictably upregulated in the hippocampus, including APP, S100b, and SOD1, with expression log ratios of 0.781, 1.179, and 5.952, respectively, compared to the HC group.

“Importantly, analysis revealed several genes located on Hsa21 that were predictably upregulated in the hippocampus, including APP, S100b, and SOD1, with expression log ratios of 0.781, 1.179, and 5.952, respectively, compared to the HC group.”

May combine two claims.

The results predicted 11 significantly activated RNAs and 6 inhibited upstream regulators in subicular neurons in DS-AD.

“The results predicted 11 significantly activated RNAs and 6 inhibited upstream regulators in subicular neurons.”

May combine two claims.

Six pathways were common to CA1, CA2, and SC, most predicted to be activated, whereas renin-angiotensin signaling was uniquely predicted to be inhibited.

“Six pathways were common to these regions, most predicted to be activated, whereas renin–angiotensin signaling was uniquely predicted to be inhibited.”

May combine two claims.

In CA2, neutrophil degranulation was predicted to be activated, while the remaining top pathways were predicted to be inhibited.

“Neutrophil degranulation was predicted to be activated, while the remaining top pathways were predicted to be inhibited.”

May combine two claims.

Differential expression analysis revealed region-specific alterations of protein levels, with the highest number of differentially altered proteins in CA1 (939) and CA2 (849), followed by CA3 (497), SC (396), CA4 (298), and DG (107).

“Overall, differential expression analysis revealed region‐specific alterations of protein levels, with the highest number of differentially altered proteins in CA1 (939; Figure 4A) and CA2 (849; Figure 4B), followed by CA3 (497; Figure 4C), SC (396; Figure 4F), CA4 (298; Figure 4D), and DG (107; Figure 4E).”

May combine two claims.

In CA1, most pathways were predicted to be activated, whereas respiratory electron transport was predicted to be inhibited.

“Most pathways were predicted to be activated, whereas respiratory electron transport was predicted to be inhibited.”

May combine two claims.

In CA1, the most significant regulators included MAPT and APP, both predicted to be activated, and PSEN1, which was predicted to be inhibited.

“In CA1, the most significant regulators included the AD‐related proteins microtubule‐associated protein tau (MAPT) and APP, both predicted to be activated, and presenilin 1 (PSEN1), which was predicted to be inhibited (Figure S3A).”

May combine two claims.

CA2 exhibited 101 enriched pathways, including neutrophil degranulation, activation of NMDA receptors and postsynaptic events, opioid signaling, ephrin receptor signaling, and assembly and cell surface presentation of NMDA receptors.

“Similarly, CA2 exhibited 101 enriched pathways, including neutrophil degranulation, activation of N‐methyl‐D‐aspartate (NMDA) receptors and postsynaptic events, opioid signaling, ephrin receptor signaling, and assembly and cell surface presentation of NMDA receptors (Figure 5B).”

May combine two claims.

mRNAs for IGF1, IRS1, AKT1, MTOR, EIF4E, and RHOA are predicted to activate downstream networks both globally and in each cluster, with variable degrees of activation within each cluster.

“Although mRNAs for several upstream regulatory genes (i.e., IGF1, IRS1, AKT1, MTOR, EIF4E, and RHOA) are predicted to activate downstream networks both globally and as well as in each cluster, there were variable degrees of activation within each cluster.”

May combine two claims.

In CA2, MAPT and APP were again predicted to be activated, while PSEN1 showed a mild inhibitory trend.

“MAPT and APP were again predicted to be activated, while PSEN1 showed a mild inhibitory trend.”

May combine two claims.

Analysis of ST data revealed several RNAs (PRKCB, INSR, EIF4E, IGF1R, PRKCA, PIK3R1, AKT1, PIK3CA, MTOR, TSC2, PTEN, RHOA, PDK1, RICTOR, RPTOR, TSC1) as DEGs and upstream regulators of INS/mTOR signaling.

“Analysis of ST data revealed several RNAs (i.e., PRKCB, INSR, EIF4E, IGF1R, PRKCA, PIK3R1, AKT1, PIK3CA, MTOR, TSC2, PTEN, RHOA, PDK1, RICTOR, RPTOR, TSC1) as DEGs and upstream regulators of INS/mTOR signaling.”

May combine two claims.

CA4 exhibited 15 enriched pathways, including 3-phosphoinositide degradation, GAIT translation signaling, D-myo-inositol tetrakisphosphate biosynthesis, and α-adrenergic signaling, with most pathways predicted to be inhibited except α-adrenergic signaling, which was activated.

“CA4 exhibited 15 enriched pathways, including 3‐phosphoinositide degradation, GAIT translation signaling, D‐myo‐inositol tetrakisphosphate biosynthesis, and α‐adrenergic signaling, with most pathways predicted to be inhibited except α‐adrenergic signaling, which was activated (Figure 5D).”

May combine two claims.

In CA2, mTOR-associated regulators MYC, TFEB, and TP53 were predicted to be activated, whereas MCOLN1, NR3C1, and KRAS showed inhibitory trends consistent with CA1.

“mTOR‐associated regulators MYC, TFEB, and TP53 were predicted to be activated, whereas MCOLN1, NR3C1, and KRAS showed inhibitory trends consistent with CA1.”

May combine two claims.

In CA4, MAPT had no assigned activation state and HTT showed only a minimal positive trend.

“MAPT had no assigned activation state and HTT showed only a minimal positive trend.”

May combine two claims.

In CA4, MYC showed a positive trend, and EIF2AK4 and SLC2A5 displayed negative trends.

“including MYC, which showed a positive trend, and EIF2AK4 and SLC2A5, displayed negative trends.”

May combine two claims.

While activation Z scores remained consistent for most upstream regulators, RNA expression levels varied for some components of the mTOR/INS pathways.

“While activation Z scores remained consistent for most upstream regulators, RNA expression levels varied for some components of the mTOR/INS pathways.”

May combine two claims.

In the DG, neutrophil degranulation and myelination signaling showed trends toward activation and inhibition, respectively, while Z scores could not be determined for the remaining pathways.

“Neutrophil degranulation and myelination signaling showed trends toward activation and inhibition, respectively, while Z scores could not be determined for the remaining pathways.”

May combine two claims.

In the DG, PI metabolism was predicted to be inhibited, whereas Class A/1 rhodopsin-like receptor signaling was predicted to be activated.

“PI metabolism was predicted to be inhibited, whereas Class A/1 rhodopsin‐like receptor signaling was predicted to be activated.”

May combine two claims.

In CA3, MYC was activated, while TP53 displayed a mild inhibitory trend.

“MYC was also activated, while TP53 displayed a mild inhibitory trend.”

May combine two claims.

In the SC, SNCA was predicted to be activated, and MAPT had no activation state assigned.

“including SNCA, which was predicted to be activated, and MAPT, for which no activation state was assigned.”

May combine two claims.

INS/mTOR-related candidates were represented among the concordant hits: PRKCB, TSC2, and PTEN showed ST-down/proteomics-less-abundant overlap in CA2/subiculum, CA4, and DG, respectively, whereas RHOA and PDK1 showed ST-up/proteomics-abundant overlap in CA1 and CA2, respectively.

“INS/mTOR‐related candidates were also represented among the concordant hits: PRKCB, TSC2, and PTEN showed ST‐down/proteomics‐less‐abundant overlap in CA2/subiculum, CA4, and DG, respectively, whereas RHOA and PDK1 showed ST‐up/proteomics‐abundant overlap in CA1 and CA2, respectively.”

May combine two claims.

In the SC, EGFR and ERBB2 were predicted to be activated, whereas KRAS showed a negative activation trend.

“EGFR and ERBB2 were predicted to be activated, whereas KRAS showed a negative activation trend.”

May combine two claims.

The largest concordant overlaps were observed in the ST-up/proteomics-abundant comparisons, particularly in the ST CA1/CA2 cluster compared to CA1 and CA2 proteomics, and SC.

“The largest concordant overlaps were observed in the ST‐up/proteomics‐abundant comparisons, particularly in the ST CA1/CA2 cluster compared to CA1 and CA2 proteomics, and SC (Figure S6A, D).”

May combine two claims.

Additional CA4 clusters involved integrin signaling and calcium-dependent membrane repair, consistent with altered cell-matrix interactions and membrane homeostasis.

“Additional clusters involved integrin signaling and calcium‐dependent membrane repair, consistent with altered cell–matrix interactions and membrane homeostasis.”

May combine two claims.

Additional CA1 clusters reflected glial activation, cytoskeletal remodeling, cholesterol transport, and neurotrophic signaling.

“Additional clusters reflected glial activation, cytoskeletal remodeling, cholesterol transport, and neurotrophic signaling.”

May combine two claims.

Additional CA2 clusters involved spliceosome complexes, RNA polymerase II-associated transcription, mRNA transport, and extracellular lipoprotein transport.

“Additional clusters involved spliceosome complexes, RNA polymerase II–associated transcription, mRNA transport, and extracellular lipoprotein transport”

May combine two claims.

Proteomics identified activation of AD-associated regulators including APP and Tau and activation of mTOR-associated transcriptional programs (e.g., MYC and TP53) in CA1 and CA2.

“Proteomics identified activation of AD‐associated regulators including APP and Tau and activation of mTOR‐associated transcriptional programs (e.g., MYC and TP53) in CA1 and CA2.”

May combine two claims.

Our proteomic findings show that hippocampal regions with strong evidence of mTOR/INS pathway activation at the transcript level also exhibit increased abundance of protein modules involved in translation, ECM remodeling, growth factor signaling, and depletion of synaptic and mitochondrial proteins, particularly in CA1 and CA2.

“Our proteomic findings show that hippocampal regions with strong evidence of mTOR/INS pathway activation at the transcript level also exhibit increased abundance of protein modules involved in translation, ECM remodeling, growth factor signaling, and depletion of synaptic and mitochondrial proteins, particularly in CA1 and CA2.”

May combine two claims.

Concordant ST-down/proteomics-less abundant overlaps were generally smaller, although ST CA3/CA4 DEGs showed notable overlap with CA3 and CA4 proteomics.

“Concordant ST‐down/proteomics‐less abundant overlaps were generally smaller, although ST CA3/CA4 DEGs showed notable overlap with CA3 and CA4 proteomics (Figure S6F).”

May combine two claims.

In the SC, ARID1A, CDC14B, and SORL1 were predicted to be activated, whereas TP63 and SPDEF were predicted to be inhibited.

“Additional regulators, including ARID1A, CDC14B, and SORL1, were predicted to be activated, whereas TP63 and SPDEF were predicted to be inhibited.”

Probably not a substantial claim: may not pass S3 (load-bearing).

In some cases, p-mTOR IR was observed in neuronal nuclei and within the walls of large blood vessels.

“In some cases, p‐mTOR IR was observed in neuronal nuclei (Figure 6H, red arrow) and within the walls of large blood vessels (Figure 6A,H, red star).”

May combine two claims.

The pseudo bulk analysis indicated that PTEN was activated, while subregion analysis of PTEN RNA expression showed a significant increase in glial cells, but stable or reduced in neurons.

“The pseudo bulk analysis indicated that PTEN was activated, while subregion analysis of PTEN RNA expression showed a significant increase in glial cells, but stable or reduced in neurons.”

May combine two claims.

In CA1/CA2, 241 ST-upregulated genes overlapped with CA1-abundant proteins and 221 overlapped with CA2-abundant proteins, with 88 shared across the CA1/CA2 ST cluster and both CA1 and CA2 LFQ datasets.

“In CA1/CA2, 241 ST‐upregulated genes overlapped with CA1‐abundant proteins and 221 overlapped with CA2‐abundant proteins, with 88 shared across the CA1/CA2 ST cluster and both CA1 and CA2 LFQ datasets.”

May combine two claims.

In the DG, BACE1 and TARDBP were predicted to be inhibited, whereas KLF3 and MAFB showed positive activation trends.

“Regulators associated with neurodegeneration and proteostasis, including BACE1 and TARDBP, were predicted to be inhibited, whereas KLF3 and MAFB showed positive activation trends.”

Probably not a substantial claim: may not pass S3 (load-bearing).

Neuronal p-S6 IR appeared either as a granular stain or as a smooth cytoplasmic stain.

“Neuronal p‐S6 IR appeared either as a granular stain (P, black arrowhead) or as a smooth cytoplasmic stain (Q, black arrowhead).”

May combine two claims.

In CA4, the network of less abundant proteins did not reach significance (P = 0.55) but included clusters associated with oligodendrocyte, myelin, and collagen proteins.

“The network of less abundant proteins did not reach significance (P = 0.55; Figure S5D), but included clusters associated with oligodendrocyte, myelin, and collagen proteins”

May combine two claims.

In the DG, SLC16A2, SLCO1C1, BCKDK, and PPARD showed negative activation trends, whereas TGFB1 also showed a mild inhibitory trend.

“Other metabolic regulators (SLC16A2, SLCO1C1, BCKDK, and PPARD) showed negative activation trends, whereas TGFB1 also showed a mild inhibitory trend.”

May combine two claims.

In contrast to the Z scores of mTOR pathway activators, PTEN had significantly reduced activation Z scores that displayed distinct regional patterns.

“In contrast to the Z scores of mTOR pathway activators, PTEN had significantly reduced activation Z scores (Figure 2 and 3) that displayed distinct regional patterns.”

May combine two claims.

The DG showed a regulatory profile characterized by inhibition of mTOR signaling, and mTOR itself was identified as a top regulator and was predicted to be inhibited.

“The DG showed a regulatory profile characterized by inhibition of mTOR signaling (Figure S3E), and mTOR itself was identified as a top regulator and was predicted to be inhibited.”

May combine two claims.

The PIK3R1 gene was significantly upregulated in all neuronal populations examined but was even more highly significantly upregulated in glial populations.

“The PIK3R1 gene (which provides instructions for producing the p85α regulatory subunit of the PI3K enzyme) was significantly upregulated in all neuronal populations examined but was even more highly significantly upregulated in glial populations (Figure 1H).”

May combine two claims.

Although the EIF4EBP1 activation Z score was not altered in the bulk analysis, RNA for this protein was significantly decreased in DG and SC, but upregulated in glial cells.

“Although the EIF4EBP1 activation Z score was not altered in the bulk analysis, RNA for this protein was significantly decreased in DG and SC, but upregulated in glial cells (Figure 1E)”

May combine two claims.

Neurons in CA4 and DGML displayed granular IR, while diffuse cytoplasmic IR was observed in glial cells in DS-AD.

“Neurons in these hippocampal regions displayed granular IR (Figure 6D,G, black arrowheads), while diffuse cytoplasmic IR was observed in glial cells (Figure 6D, blue arrows) in DS‐AD.”

May combine two claims.

Light immunostaining for p-S6 was seen in CA4 in DS without dementia and in healthy controls, but not in primary or secondary delete cytochemical control reacted sections.

“Light immunostaining was seen in CA4, in DS without dementia (J) and in healthy controls (M, N), which was not seen in either a primary or secondary delete cytochemical control reacted section.”

May combine two claims.

Although CA1 and CA2 did not show the largest changes in PIK3CA transcriptionally, each exhibited pronounced proteomic evidence of downstream pathway remodeling.

“Although CA1 and CA2 did not show the largest changes in PIK3CA transcriptionally, each exhibited pronounced proteomic evidence of downstream pathway remodeling, suggesting that reduced insulin/PI3K signaling contributes to widespread proteomic synaptic and metabolic compromise in CA1/CA2, 42 , 66 , 67 even when transcriptional changes in PI3K components are modest.”

May combine two claims.

Phosphoinositide metabolism was inhibited in DG, whereas CA4 showed alterations in 3-phosphoinositide degradation and related metabolic pathways.

“Phosphoinositide metabolism was inhibited in DG, whereas CA4 showed alterations in 3‐phosphoinositide degradation and related metabolic pathways.”

May combine two claims.

The proteomics data underscore the complexity of mTORC2-related signaling; while ST indicates reduced RICTOR activation in most regions, proteomic upstream regulator analysis predicted activation of RICTOR-associated pathways in CA1, and PPI networks revealed decreased Ras family signaling in the SC.

“The proteomics data underscore the complexity of mTORC2‐related signaling; while ST indicates reduced RICTOR activation in most regions, proteomic upstream regulator analysis predicted activation of RICTOR‐associated pathways in CA1, and PPI networks revealed decreased Ras family signaling in the SC.”

May combine two claims.

The activation Z score of RICTOR was unaltered in the pseudo bulk analysis but activation Z scores were significantly reduced in every region except the CA3/CA4 subfields, which displayed a significant increase in activation Z scores and Z scores of RICTOR upstream regulators as well as a significant increase in RICTOR RNA expression.

“The activation Z score of RICTOR, a core component of the mTORC2 complex, was unaltered in the pseudo bulk analysis but activation Z scores were significantly reduced in every region except the CA3/CA4 subfields, which displayed a significant increase in activation Z scores and Z scores of RICTOR upstream regulators (Figure 3A,B) as well as a significant increase in RICTOR RNA expression.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

The result of this negative feedback loop is the uncoupling of INS signaling, which reduces the activation of mTOR.

“The result of this negative feedback loop is the uncoupling of INS signaling, which reduces the activation of mTOR.”

Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

DS results from a partial or complete triplication of the 21st human chromosome (Hsa21).

“Down syndrome (DS) results from a partial or complete triplication of the 21st human chromosome (Hsa21)”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

The collection and banking of human brain tissue was conducted according to the Declaration of Helsinki ethical principles and approved by the Colorado University Anschutz Institutional Review Board committee (protocol # 21-4648).

“The collection and banking of human brain tissue was conducted according to the Declaration of Helsinki ethical principles for medical research involving human participants, developed by the World Medical Association and approved by the Colorado University (CU) Anschutz Institutional Review Board committee (protocol # 21‐4648).”

Probably not a substantial claim: may not pass S3 (load-bearing).

Case DS_1 was removed prior to differential expression analysis due to a drastic reduction in the number of proteins identified in some hippocampal subregions compared to the other cases.

“Case DS_1 was removed prior to the differential expression analysis due to a drastic reduction in the number of proteins identified in some hippocampal subregions compared to the other cases.”

Probably not a substantial claim: may not pass S3 (load-bearing).

Inactivation of the TSC1/TSC2 protein complex leads to aberrant activation of mTORC1, resulting in inhibition of Akt.

“Inactivation of the TSC1/TSC2 protein complex leads to an aberrant activation of mTORC1, resulting in an inhibition of Akt, 45”

• cites [45] Zha X, Hu Z, He S, Wang F, Shen H, Zhang H. TSC1/TSC2 inactivation inhibits AKT through mTORC1‐dependent up‐regulation of STAT3‐PTEN cascade. Cancer Lett. 2011; 313: 211‐ 217. doi: 10.1016/j.canlet.2011.09.006 22055460 sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

>50,000 mean reads per spot were found in all cases examined, increasing confidence in the data.

“Further, > 50,000 mean reads per spot were found in all cases examined (Figure S1L). These measurements increased confidence in the data obtained such that continued analysis was warranted for each case submitted to ST analysis.”

Probably not a substantial claim: may not pass S3 (load-bearing).

Control sections underwent the same procedure, omitting the primary or secondary antibodies.

“Control sections underwent the same procedure, omitting the primary or secondary antibodies.”

May combine two claims.

Although CA1 and CA2 showed a greater total number of enriched pathways, the strong overlap with SC indicates shared molecular alterations across these hippocampal regions.

“Although CA1 and CA2 showed a greater total number of enriched pathways, the strong overlap with SC indicates shared molecular alterations across these hippocampal regions.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

CA3/CA4 hippocampal subfields are crucial for memory formation, particularly in spatial and episodic memory, and are part of an auto-associative network that supports pattern generalization and discrimination as well as short-term memory retrieval.

“The CA3/CA4 hippocampal subfields are crucial for memory formation, particularly in spatial and episodic memory, and are part of an auto‐associative network that supports pattern generalization and discrimination as well as short‐term memory retrieval. 40”

• cites [40] Rolls ET, Kesner RP. A computational theory of hippocampal function, and empirical tests of the theory. Prog Neurobiol. 2006; 79: 1‐ 48. doi: 10.1016/j.pneurobio.2006.04.005 16781044 sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

The subiculum is a major output region of the hippocampus and receives input from the entorhinal cortex via the perforant pathway.

“The subiculum (SC) is a major output region of the hippocampus and receives input from the entorhinal cortex via the perforant pathway. 43”

• cites [43] Siarey RJ, Kline‐Burgess A, Cho M et al. Altered signaling pathways underlying abnormal hippocampal synaptic plasticity in the Ts65Dn mouse model of Down syndrome. J Neurochem. 2006; 98: 1266‐ 1277. doi: 10.1111/j.1471‐4159.2006.03971.x 16895585 sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Image analysis was performed by two independent investigators without knowledge of the identity of individual cases, and results were averaged.

“Image analysis was performed by two independent investigators without knowledge of the identity of individual cases, and results were averaged.”

Classified as probably not a substantial claim.

Sections from all groups were processed in the same batch to avoid inter-batch staining variability.

“Sections from all groups were processed in the same batch to avoid inter‐batch staining variability.”

May combine two claims.

There were no significant correlations between PMI and DV200 values, PMI and reads/spot, or PMI and genes/spot.

“As shown in Figure S1, there were no significant correlations between PMI and DV200 values (Figure S1A, r = –0.3203, not significant [ns]), PMI and reads/spot (Figure S1B, r = –0.2193, ns), or PMI and genes/spot (Figure S1C, r = –0.3103, ns).”

Classified as probably not a substantial claim.

A diagnosis of the AD cases (n = 8) obtained from the MUSC brain bank was based on neuropathological assessment.

“A diagnosis of the AD cases (n = 8) obtained from the MUSC brain bank was based on neuropathological assessment (Table S1).”

Probably not a substantial claim: may not pass S3 (load-bearing).

Samples with a DV200 score of > 30% were sent for spatial transcriptomics.

“samples with a DV200 score of > 30% were sent to CU Anschutz Genomics Core for examination using 10x Genomics Visium technology.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

There were no significant correlations between age and DV200, age and reads/spot, or age and genes/spot.

“There were also no significant correlations between age and DV200 (Figure S1D, r = ‐0.49, ns), age and reads/spot (Figure S1E, r = –0.14, ns) or age and genes/spot (Figure S1F, r = –0.06, ns).”

Probably not a substantial claim: may not pass S3 (load-bearing).

Regional differences in upstream regulatory pathways may indicate specific neuronal populations that are vulnerable to disease progression.

“However, regional differences in upstream regulatory pathways may indicate specific neuronal populations that are vulnerable to disease progression.”

Classified as probably not a substantial claim.

Activation of the AKT1 gene promotes mTORC1 activity by phosphorylating and inhibiting the TSC1/2 complex, leading to a downstream cascade of effects on protein synthesis and neuronal excitability.

“while activation of the AKT1 gene promotes mTORC1 activity by phosphorylating and inhibiting the TSC1/2 complex, leading to a downstream cascade of effects on protein synthesis and neuronal excitability. 45”

• cites [45] Zha X, Hu Z, He S, Wang F, Shen H, Zhang H. TSC1/TSC2 inactivation inhibits AKT through mTORC1‐dependent up‐regulation of STAT3‐PTEN cascade. Cancer Lett. 2011; 313: 211‐ 217. doi: 10.1016/j.canlet.2011.09.006 22055460 sourceNot checked — no full text of the source

May combine two claims.

These inconsistencies between activation Z scores and DEGs suggest region-specific regulation of specific upstream regulatory genes and, consequently, pathways, indicating distinct functional roles across different hippocampal neuronal populations.

“These inconsistencies between activation Z scores and DEGs suggest region‐specific regulation of specific upstream regulatory genes and, consequently, pathways, indicating distinct functional roles across different hippocampal neuronal populations.”

Classified as probably not a substantial claim.

The diagnosis of the DS-AD cases was based upon dementia in the medical records and neuropathological assessment consistent with AD.

“The diagnosis of the DS‐AD cases was based upon dementia in the medical records and neuropathological assessment consistent with AD.”

Probably not a substantial claim: may not pass S3 (load-bearing).

The inconsistent activation Z scores could be linked to different functions within the different subregions of the hippocampus.

“which could be linked to different functions within the different subregions of the hippocampus.”

Probably not a substantial claim: may not pass S3 (load-bearing).

PDK1 upregulation presumably leads to significant downstream network effects in these specific subregions.

“presumably leading to significant downstream network effects in these specific subregions.”

Classified as probably not a substantial claim.

TSC1 acts as a negative regulator of the mTORC1 complex by inhibiting it.

“TSC1 acts as a negative regulator of the mTORC1 complex by inhibiting it”

• cites [45] Zha X, Hu Z, He S, Wang F, Shen H, Zhang H. TSC1/TSC2 inactivation inhibits AKT through mTORC1‐dependent up‐regulation of STAT3‐PTEN cascade. Cancer Lett. 2011; 313: 211‐ 217. doi: 10.1016/j.canlet.2011.09.006 22055460 sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing).

It is possible that PTEN pathway abnormalities contribute to the overactivation of the PI3K/AKT/mTOR signaling pathway in DS-AD as well.

“It is therefore possible that PTEN pathway abnormalities contribute to the overactivation of the PI3K/AKT/mTOR signaling pathway in DS‐AD as well.”

May combine two claims.

This DG finding indicates reduced myelin-related proteins and altered phosphoinositide and vesicular transport pathways.

“indicating reduced myelin‐related proteins and altered phosphoinositide and vesicular transport pathways.”

May combine two claims.

These findings indicate suppression of mTOR in conjunction with altered metabolic and neurodegeneration-related regulatory pathways in the DG.

“These findings indicate suppression of mTOR in conjunction with altered metabolic and neurodegeneration‐related regulatory pathways in the DG.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Although neuronal loss could affect the densitometric analysis of p-mTOR immunoreactivity, this may be offset by an increase in glial cell immunostaining in DS and DS-AD cases.

“Although neuronal loss could affect the densitometric analysis of p‐mTOR immunoreactivity, this may be offset by an increase in glial cell immunostaining in DS and DS‐AD cases.”

May combine two claims.

These trends suggest coordinated alterations in nucleotide metabolism, ECM organization, redox homeostasis, and myelin- and mitochondria-related pathways in CA3.

“These trends suggest coordinated alterations in nucleotide metabolism, ECM organization, redox homeostasis, and myelin‐ and mitochondria‐related pathways.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Alterations in S100b and CLIC4 occur in AD, and are involved in Aβ clearance and Tau protein binding.

“Alterations in these two indicators of glial activation occur in AD, 64 and are involved in Aβ clearance and Tau protein binding. 64”

• cites [64] Chen R, Pan C, Mao X et al. Chloride intracellular channel 4 blockade improves cognition in mice with Alzheimer's disease: cLIC4 protein expression and tau protein hyperphosphorylation. Int J Biol Macromol. 2024; 278: 134972. doi: 10.1016/j.ijbiomac.2024.134972 39181373 sourceNot checked — no full text of the source

May combine two claims.

These CA2 findings indicate reduced synaptic and myelin-related signaling.

“indicating reduced synaptic and myelin‐related signaling.”

May combine two claims.

Together, these findings indicate enhanced ECM remodeling, cytoskeletal regulation, and glial and neuromodulatory signaling, accompanied by reduced Ras-dependent signaling and myelin-related proteins in the subiculum.

“Together, these findings indicate enhanced ECM remodeling, cytoskeletal regulation, and glial and neuromodulatory signaling, accompanied by reduced Ras‐dependent signaling and myelin‐related proteins in the subiculum.”

May combine two claims.

The EIF4EBP1 RNA changes suggest a heterochronic premature shift from neurogenesis to gliogenesis as well as a cell-specific metabolic compensatory response related to AD lesions in DS.

“suggesting a heterochronic premature shift from neurogenesis to gliogenesis as well as a cell‐specific metabolic compensatory response related to AD lesions in DS.”

May combine two claims.

The increased abundance of proteins involved in ribosome biogenesis and protein synthesis in CA4 suggests enhanced translational processes accompanied by changes in structural and membrane-associated pathways.

“Proteomic analysis of CA4 revealed increased abundance of proteins involved in ribosome biogenesis and protein synthesis, suggesting enhanced translational processes accompanied by changes in structural and membrane‐associated pathways.”

May combine two claims.

These findings indicate enhanced ECM and glial remodeling with reduced mitochondrial energy metabolism and synaptic signaling in CA1.

“These findings indicate enhanced ECM and glial remodeling with reduced mitochondrial energy metabolism and synaptic signaling in CA1.”

May combine two claims.

The shared candidates are informative as they identify changes supported at both RNA and protein levels, including signatures related to ECM remodeling, glial and neuroimmune responses, myelin-related alterations, and selected mTOR/INS-associated proteins.

“The shared candidates are therefore informative as they identify changes supported at both RNA and protein levels, including signatures related to ECM remodeling, glial and neuroimmune responses, myelin‐related alterations, and selected mTOR/INS‐associated proteins.”

May combine two claims.

Both modalities remain constrained by sample size, FFPE-related technical variability, and the inability to fully resolve cell type-specific contributions.

“However, both modalities remain constrained by sample size, FFPE‐related technical variability, and the inability to fully resolve cell type–specific contributions.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

We maximized the utility of the large amount of data generated by the Visium platform by applying specific statistical strategies and comparing ST to in-depth proteomics using larger groups and validating results with IHC.

“We maximized the utility of the large amount of data generated by the Visium platform by applying specific statistical strategies and comparing ST to in‐depth proteomics using larger groups and validating results with IHC.”

May combine two claims.

Transcriptomic data provide critical insight into spatial gene expression but only partially predict protein abundance.

“Consistent with the ST–proteomics comparison discussed above, transcriptomic data provide critical insight into spatial gene expression but only partially predict protein abundance.”

Classified as probably not a substantial claim.

We partially addressed this limitation by integrating localized DIA-based proteomics from micro-dissected hippocampal subregions in an expanded cohort of DS and control brains used for both ST and proteomics.

“We partially addressed this limitation by integrating localized DIA‐based proteomics from micro‐dissected hippocampal subregions in an expanded cohort of DS and control brains used for both ST and proteomics.”

Probably not a substantial claim: may not pass S2 (checkable).

Overall, these preliminary findings provide a deeper understanding of the mechanisms underlying AD pathology in DS.

“Overall, these preliminary findings provide a deeper understanding of the mechanisms underlying AD pathology in DS.”