Cited by 15Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration MechanismsDementia and Cognitive Impairment Research

β-amyloid accumulation enhances microtubule associated protein tau pathology in an APPNL-G-F/MAPTP301S mouse model of Alzheimer’s disease

Open access
Jiang, Lulu, Roberts, Rebecca, Wong, Melissa, Zhang, Lushuang, Webber, Chelsea Joy, Libera, Jenna, Wang, Zihan, Kilci, Alper +14 more·2024·Frontiers in Neuroscience

Abstract

Introduction: The study of the pathophysiology study of Alzheimer’s disease (AD) has been hampered by lack animal models that recapitulate the major AD pathologies, including extracellular -amyloid (A) deposition, intracellular aggregation of microtubule associated protein tau (MAPT), inflammation and neurodegeneration. Methods: The humanized APP NL-G-F knock-in mouse line was crossed to the PS19 MAPT P301S, over-expression mouse line to create the dual APPNL-G-F/PS19 MAPTP301S line. The resulting pathologies were characterized by immunochemical methods and PCR. Results: We now report on a double transgenic APP NL-G-F/PS19 MAPT P301S mouse that at 6 months of age exhibits robust A plaque accumulation, intense MAPT pathology, strong inflammation and extensive neurodegeneration. The presence of A pathology potentiated the other major pathologies, including MAPT pathology, inflammation and neurodegeneration. MAPT pathology neither changed levels of amyloid precursor protein nor potentiated A accumulation. Interestingly, study of immunofluorescence in cleared brains indicates that microglial inflammation was generally stronger in the hippocampus, dentate gyrus and entorhinal cortex, which are regions with predominant MAPT pathology. The APP NL-G-F/MAPT P301S mouse model also showed strong accumulation of N 6-methyladenosine (m 6 A), which was recently shown to be elevated in the AD brain. m 6 A primarily accumulated in neuronal soma, but also co-localized with a subset of astrocytes and microglia. The accumulation of m 6 A corresponded with increases in METTL3 and decreases in ALKBH5, which are enzymes that add or remove m6A from mRNA, respectively. Discussion: Our understanding of the pathophysiology of Alzheimer’s disease (AD) has been hampered by lack animal models that recapitulate the major AD pathologies, including extracellular -amyloid (A) deposition, intracellular aggregation of microtubule associated protein tau (MAPT), inflammation and neurodegeneration. The APP NL-G-F/MAPT P301S mouse recapitulates many features of AD pathology beginning at 6 months of aging, and thus represents a useful new mouse model for the field.

AI snapshot

Written from the paper’s full text.

TL;DR

A new APPNL-G-F/MAPTP301S mouse model recapitulates major Alzheimer’s disease-like pathologies by 6 months, with Aβ accumulation potentiating tau pathology, inflammation, neurodegeneration, and m6A dysregulation. Tau pathology did not increase Aβ accumulation.

Key findings

  • The APPNL-G-F/MAPTP301S cross showed progressive Aβ plaque accumulation, but fewer 4G8-positive plaques than APPNL-G-F alone at 6 and 9 months (15–20% fewer), while average plaque size did not differ.
  • Aβ potentiated MAPT pathology: pTau217 was significantly higher in APPNL-G-F/MAPTP301S than MAPTP301S at 6 and 9 months, and the cross also increased pTau181, misfolded tau (MC1), and oligomeric tau (TOMA2).
  • Neurodegeneration was enhanced in the cross: at 6 months APPNL-G-F/MAPTP301S showed ~35% loss of MAP-2 versus WT, progressing to more than 60% loss at 9 months; PSD-95 loss was also greater than with either transgene alone.
  • m6A increased progressively in APPNL-G-F/MAPTP301S, corresponding with increased METTL3 and decreased ALKBH5; m6A accumulation followed MAPT pathology rather than Aβ pathology.

Methods

  • Homozygous APPNL-G-F mice were crossed with heterozygous PS19 MAPTP301S mice; WT C57BL/6J mice served as controls, and brains were collected at 3, 6, and 9 months.
  • Pathologies were assessed by immunoblot, immunohistochemistry, immunofluorescence, tissue clearing/light-sheet imaging, ELISA for Aβ and phosphorylated tau, and RT-qPCR for inflammatory transcripts.
  • Group means were compared using one-way or two-way ANOVA with Tukey’s multiple comparison test; significance was defined as p < 0.05.

Limitations

  • The paper states that anti-m6A antibodies also recognize m6Am, which constitutes 2–10% of total m6A detected in tissues, and that antibody-based m6A measurement does not identify individual RNA molecules; m6A RNAseq would be needed for mechanistic understanding.
  • The paper notes technical difficulties with phospho-tau labeling in cleared brains, producing weak signal, and that one APPNL-G-F/P301S MAPT mouse had ventral temporal cortex damage during brain removal that elicited strong inflammatory reactivity, which was not emphasized.
  • Evident from the text: the model relies on P301S MAPT over-expression, which strongly drives tau aggregation and may reduce the need for Aβ to drive tau pathology; the authors also note that tau transgene expression reduced APP levels.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.3389/fnins.2024.1372297

Cites

84 of 85 references verified1 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

56 of 86 cited sources checked · 6 supported · 4 flagged · accuracy not yet measured

  • Premisecitation

    m6A does not appear to accumulate in models of Aβ amyloidosis, which accumulate aggregates extracellularly.

    “Interestingly, m6A does not appear to accumulate in models of Aβ amyloidosis, which accumulate aggregates extracellularly (Han et al., 2020).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Han et al., 2020 source

      The Results section, “m6A RNA Methylation Level in the Cortex and the Hippocampus of AD” (page unavailable), reports significantly higher m6A methylation in APP/PS1 mice than in controls in both regions. The separate Results section on Aβ deposition reports increased Aβ in those mice. Thus, this paper reports m6A accumulation in an Aβ-depositing model, contrary to the cited claim. (LLM, conf=0.92)

      Checked by a reasoning model — may be wrong.

      Experimental — accuracy not yet measured
  • Premisecitation

    The absence of robust MAPT pathology in mouse models expressing only endogenous MAPT likely derives from the low aggregation propensity of murine MAPT.

    “The absence of robust MAPT pathology in mouse models expressing only endogenous MAPT likely derives from the low aggregation propensity of murine MAPT (Eckermann et al., 2007; Mocanu et al., 2008).”
    Quote in the paperSubstantial claim1 of 2 sources checked
    • cites Eckermann et al., 2007 source
    • cites Mocanu et al., 2008 source
  • Premisecitation

    Models relying only on genetic modification of APP develop abundant Aβ plaques but produce little MAPT pathology beyond modest increases in phosphorylation.

    “Models relying only on genetic modification of amyloid precursor protein (APP) develop abundant Aβ plaques but produce little MAPT pathology beyond modest increases in phosphorylation (Sasaguri et al., 2022).”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Sasaguri et al., 2022 source

      Table 3 in “1st, 2nd, and 3rd Generation Mouse Models” records Aβ plaques but no tangles in two single-App knock-in lines; it also shows that another single-App line has no plaques. “Preclinical Nature of Behaviors” says App knock-in mice do not recapitulate tau pathology alone. The paper discusses increased tau phosphorylation in App/MAPT double knock-in mice, not specifically modest increases in APP-only models, so that detail is not established. (LLM, conf=0.83)

      Experimental — accuracy not yet measured
  • Premisecitation

    Crossing transgenic APP mouse over-expression models with tau mouse models generally shows that Aβ accelerates tau pathology.

    “The results generally show that Aβ accelerates tau pathology (Chabrier et al., 2014; Heraud et al., 2014; Stancu et al., 2014; Chen et al., 2016).”
    Quote in the paperSubstantial claim1 of 3 sources checked
    • cites Chabrier et al., 2014 source
    • cites Heraud et al., 2014 source
    • cites Stancu et al., 2014 source
  • Premisecitation

    These studies all suffer because they exhibit artifacts arising from the over-expression APP (WT or mutant) and in some cases mutant presenilins.

    “These studies all suffer because they exhibit artifacts arising from the over-expression APP (WT or mutant) and in some cases mutant presenilins (Balducci and Forloni, 2011; Saito et al., 2014; Sasaguri et al., 2017).”
    Quote in the paperSubstantial claim1 of 3 sources checked
    • cites Balducci and Forloni, 2011 source
    • cites Saito et al., 2014 source
    • cites Sasaguri et al., 2017 source

      The ‘Limitations of first-generation mouse models’ section says APP overexpression produces additional APP fragments and warns that some phenotypes might result from APP or APP/PS overexpression rather than normal disease pathology. This supports the concern about artifacts, including in models involving presenilin, but the paper describes potential effects in some models; it does not establish that all the studies exhibit such artifacts. (LLM, conf=0.85)

      Experimental — accuracy not yet measured
  • May combine two claims. 39
  • Classified as probably not a substantial claim. 46
  • May combine two claims.

    Premisecitation

    Human MAPT knock-in models produce tau pathology, but only very late in the murine life span (~15 months).

    “Human MAPT knock-in models have also been developed, and these models produce tau pathology, but only very late in the murine life span (~15 months) (Saito et al., 2014; Sakakibara et al., 2018; Sasaguri et al., 2022).”
    Quote in the paperSubstantial claim2 of 3 sources checked
    • cites Saito et al., 2014 source
    • cites Sakakibara et al., 2018 source

      The Background discusses App knock-in mice and says they do not exhibit tau pathology; it does not discuss human MAPT knock-in models. A search for MAPT knock-in tau pathology at approximately 15 months found no passage addressing that claim. The Results’ reference to 15–18 months concerns reactive gliosis in App knock-in mice, not tau pathology. (LLM, conf=0.75)

      Experimental — accuracy not yet measured
    • cites Sasaguri et al., 2022 source

      The section “Humanization of the Entire Murine Mapt Gene to Generate hMAPT Knock-In Mice” (page unavailable) says that mice carrying human MAPT together with an App knock-in lacked evidence of tau pathology even at 24 months, contrary to the claimed onset at about 15 months. It separately reports aging-dependent tau aggregation in mutant MAPT knock-in mice, but gives no 15-month onset for those models. (LLM, conf=0.88)

      Checked by a reasoning model — may be wrong.

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Other groups have observed that m6A accumulates in models of tauopathy, as well as in other diseases with intracellular aggregates, including ALS and Huntington's disease.

    “Other groups have also observed that m6A accumulates in models of tauopathy, as well as in other diseases with intracellular aggregates, including ALS and Huntington’s disease (McMillan et al., 2023; Nguyen et al., 2023; Atrian et al., 2024).”
    Quote in the paperNot a substantial claim3 of 3 sources checked
    • cites McMillan et al., 2023 source
    • cites Nguyen et al., 2023 source

      For the Huntington’s disease portion of the sentence, the m6A-sequencing section reports no significant global change in m6A levels in HD R6/2 mouse cortex. It also reports decreased m6A deposition at specific sites on dysregulated HD genes, rather than accumulation relative to controls. The paper discusses ALS and tau findings, but those do not establish accumulation in its HD model. (LLM, conf=0.88)

      Checked by a reasoning model — may be wrong.

      Experimental — accuracy not yet measured
    • cites Atrian et al., 2024 source

      The Results and Discussion report elevated m6A in tauopathy models, including tau-transgenic Drosophila and MAPT-mutant cerebral organoids. The Discussion mentions ALS and Huntington’s disease in connection with muscleblind, but does not report m6A accumulation in either disease. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Premisecitation

    These models develop little intracellular MAPT pathology, nor other types of neuronal protein aggregates.

    “These models develop little intracellular MAPT pathology, nor other types of neuronal protein aggregates (Oakley et al., 2006).”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Oakley et al., 2006 source

      The 5XFAD mice section reports no neurofibrillary tangles or abnormal phospho-tau staining, supporting the MAPT portion. But the Introduction and the intraneuronal Aβ section explicitly report aggregated intraneuronal Aβ, contrary to the claim that these models do not develop other neuronal protein aggregates. (LLM, conf=0.88)

      Checked by a reasoning model — may be wrong.

      Experimental — accuracy not yet measured
  • Classified as probably not a substantial claim.

    Premisecitation

    Cognitive loss is only weakly correlated with the accumulation of Aβ.

    “Mutations in amyloid precursor protein (APP) cause AD, however cognitive loss is only weakly correlated with the accumulation of Aβ (Scheltens et al., 2021).”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Scheltens et al., 2021 source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Mutations in MAPT are sufficient to cause dementia (frontotemporal dementia, FTD).

    “Cognitive loss is much more robustly correlated with MAPT based NFTs pathology, and mutations in MAPT are sufficient to cause dementia (frontotemporal dementia, FTD) (Scheltens et al., 2021).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Scheltens et al., 2021 source

      The Tau-PET section (page not provided) says tau-PET binding topography correlates with cognitive deficits, supporting the sentence’s point about tau pathology and cognition. Our copy does not state that MAPT mutations are sufficient to cause frontotemporal dementia; searches for MAPT mutations and frontotemporal dementia found no such passage. (LLM, conf=0.83)

      Experimental — accuracy not yet measured
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Mutations in MAPT might not cause AD because MAPT pathology does not drive the accumulation of Aβ pathology.

    “Mutations in MAPT might not cause AD because MAPT pathology does not drive the accumulation of Aβ pathology (Scheltens et al., 2021).”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Scheltens et al., 2021 source

      The Pathophysiology section says amyloid β induces the spread of tau pathology, and the Diagnostic criteria section describes amyloid β as a defining feature of Alzheimer’s disease. Neither passage establishes that MAPT mutations do not cause Alzheimer’s disease or that tau pathology cannot drive amyloid β accumulation. A search for MAPT found a reference to the MAPT lifestyle trial, not to mutations in the gene. (LLM, conf=0.76)

      Experimental — accuracy not yet measured
  • Classified as probably not a substantial claim.

    Premisecitation

    Cognitive loss is much more robustly correlated with MAPT based NFTs pathology.

    “Cognitive loss is much more robustly correlated with MAPT based NFTs pathology, and mutations in MAPT are sufficient to cause dementia (frontotemporal dementia, FTD) (Scheltens et al., 2021).”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Scheltens et al., 2021 source

      The Tau-PET passage (Introduction > Imaging biomarkers; page not provided) says that, unlike amyloid-β deposition, tau-PET binding topography correlates with cognitive deficits. This supports the comparison in the claim, but the passage concerns a tau-imaging measure rather than directly measuring MAPT-based neurofibrillary tangles. The cited sentence also attributes the claim that MAPT mutations suffice to cause frontotemporal dementia to this source; searches for MAPT and frontotemporal dementia did not find support for that claim in our copy. (LLM, conf=0.84)

      Experimental — accuracy not yet measured
  • Classified as probably not a substantial claim.

    Premisecitation

    Mutations in APP cause AD.

    “Mutations in amyloid precursor protein (APP) cause AD, however cognitive loss is only weakly correlated with the accumulation of Aβ (Scheltens et al., 2021).”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Scheltens et al., 2021 source

      The Genetics section describes an APP mutation associated with prolonged cognitive health, but does not state that APP mutations cause Alzheimer’s disease. A search for causative APP mutations found discussion of clinical mutations in presenilins, not APP; the protective APP variant does not rule out other APP mutations being causative. (LLM, conf=0.72)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Premisecitation

    Knock-in human APP mice develop robust plaque pathology beginning as early as 3 months of age, however they develop little tau pathology and little neurodegeneration.

    “These mice develop robust plaque pathology beginning as early as 3 months of age, however they develop little tau pathology and little neurodegeneration (Saito et al., 2014; Sakakibara et al., 2018).”
    Quote in the paperSubstantial claim1 of 2 sources checked
    • cites Saito et al., 2014 source
    • cites Sakakibara et al., 2018 source

      The Results report that cortical Aβ amyloidosis in AppNL-G-F/NL-G-F mice began by 2 months, supporting early plaque pathology but not the stated 3-month onset. The Background says none of these App-KI mice exhibit tau pathology or severe neuron loss, supporting the rest of the claim. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    The V-PLEX platform offers analytically validated singleplex and multiplex assay kits, which can provide accurate and reproducible results with consistency from lot to lot.

    “The V-PLEX platform offers analytically validated singleplex and multiplex assay kits, which can provide accurate and reproducible results with consistency from lot to lot (van Dyck et al., 2023).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites van Dyck et al., 2023 source

      The Trial Design and Oversight and End Points sections describe blood testing and the biomarkers assessed, but do not identify the V-PLEX platform or discuss its assay kits. Searches for V-PLEX, singleplex and multiplex kits, assay validation, reproducibility, and lot-to-lot consistency found no supporting passage in our copy. (LLM, conf=0.75)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The tau pathology does not appear to increase Aβ deposition.

    “The tau pathology does not appear to increase Aβ deposition (Saul et al., 2013; Chabrier et al., 2014; Heraud et al., 2014; Stancu et al., 2014; Chen et al., 2016; Kang et al., 2021); indeed, in some cases it accelerates removal of Aβ (Chen et al., 2016).”
    Quote in the paperNot a substantial claim1 of 3 sources checked
    • cites Saul et al., 2013 source
    • cites Chabrier et al., 2014 source

      The Results section, “The presence of human APP increases tau accumulation in hAPPSL/hTau mice” (page unavailable), reports unchanged APP levels in mice with both hAPP and hTau compared with mice with hAPP alone. It does not report a comparison of Aβ deposition between those groups, so unchanged APP levels provide only indirect support for the claim. (LLM, conf=0.76)

      Experimental — accuracy not yet measured
    • cites Heraud et al., 2014 source
  • May combine two claims.

    Premisecitation

    Human MAPT KI models exhibit delayed tau pathology, as does a cross between the two KI models.

    “Human MAPT KI models exhibit delayed tau pathology, as does a cross between the two KI models (Saito et al., 2019; Islam et al., 2023).”
    Quote in the paperSubstantial claim2 of 2 sources checked
    • cites Saito et al., 2019 source

      The Discussion (page unavailable) says the App/MAPT double-KI mice lacked apparent tauopathy and neurodegeneration despite amyloid pathology, and discusses the timing of subsequent pathological events. This is consistent with pathology developing slowly, but the paper does not demonstrate a delayed onset of tau pathology in either the single MAPT KI or double-KI mice. (LLM, conf=0.82)

      Experimental — accuracy not yet measured
    • cites Islam et al., 2023 source

      The Discussion section on spatially distinct pathology reports that mature tau tangles in the APP/MAPT double-knock-in mice were frequent at 18–22 months but virtually absent at 11–16 months, supporting later development of that form of pathology. It also reports elevated hyperphosphorylated tau in the younger mice. The paper does not establish delayed tau pathology in a human MAPT knock-in model studied on its own. (LLM, conf=0.85)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Mouse models over-expressing WT or mutant tau exhibit progressive neurodegeneration.

    “These models also exhibit progressive neurodegeneration, which is consistent with observations in humans that cognitive loss is more closely associated with tau pathology than Aβ pathology (Lewis et al., 2000; Ramsden et al., 2005; Polydoro et al., 2009).”
    Quote in the paperNot a substantial claim2 of 3 sources checked
    • cites Lewis et al., 2000 source
    • cites Ramsden et al., 2005 source

      The Discussion (pp. 10637–10647; passage page unspecified) describes progressive neurodegeneration and substantial neuron loss in the authors’ P301L tau mice. It also mentions cell death in a non-mutant human-tau model, but cautions that most earlier mutant-tau models did not exhibit or report brain neuron loss. The broad claim about mouse models overexpressing either form therefore goes beyond what this paper establishes. (LLM, conf=0.87)

      Experimental — accuracy not yet measured
    • cites Polydoro et al., 2009 source

      The Introduction reports age-related cortical thinning and fewer detectable nuclei in htau mice carrying nonmutant human tau. The Discussion reports neural loss in a mutant-tau mouse model. These passages support neurodegeneration in both kinds of model, but they do not establish that the mice overexpress tau. (LLM, conf=0.83)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    The patterns of labeling of Aβ and MAPT are consistent with prior studies of APPNL-G-F and P301S MAPT mice.

    “These patterns of labeling or Aβ and MAPT are consistent with prior studies of APPNL-G-F and P301S MAPT mice (Yoshiyama et al., 2007; Saito et al., 2014; Sasaguri et al., 2017; Apicco et al., 2018).”
    Quote in the paperNot a substantial claim1 of 3 sources checked
    • cites Yoshiyama et al., 2007 source
    • cites Saito et al., 2014 source
    • cites Sasaguri et al., 2017 source

      The Modeling preclinical AD section shows Aβ labeling in the cortex of an App NL-G-F mouse, and the Second-generation mouse models section describes amyloid pathology in that model. The paper does not describe labeling patterns in P301S MAPT mice; its discussion of tau models concerns other mutations. It therefore supports the Aβ-model portion, but not the attributed MAPT-model comparison. (LLM, conf=0.85)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    The report on the APPNL-G-F/MAPTP290S mouse showed enhancement of MAPT pathology by Aβ but the pathology occurs only in very old mice, and the manuscript did not provide information on other pathologies such as inflammation or m6A.

    “The report on the APPNL-G-F/MAPTP290S mouse showed enhancement of MAPT pathology by Aβ but the pathology occurs only in very old mice, and the manuscript did not provide any information on other pathologies, such as inflammation or m6A.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Huang et al., 2022 source

      The Discussion (page unavailable) says Aβ significantly increased tau inclusions only from 18 months of age, although some tau inclusions occurred earlier. The Results section on age-dependent neurodegeneration reports nerve-cell loss in the double-knock-in mice from 18 months, so the claim that the paper provided no information on other pathologies is too broad. The passages found do not report inflammation or m6A findings. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    The results are consistent with those recently reported for an APPNL-G-F/MAPTP290S mouse.

    “These results are consistent with those recently reported for an APPNL-G-F/MAPTP290S mouse, which is a mouse model in which both human APP and human MAPT are knockins (Huang et al., 2022).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Huang et al., 2022 source

      The Abstract and Materials and Methods (Mouse lines; page not provided) identify the APPNL-G-F × MaptP290S mouse and report increased tau pathology, supporting the citation’s identification of the model. But Mouse lines says the P290S mutation was inserted into murine Mapt and describes the APP line as expressing humanized Aβ; it does not support the statement that both human APP and human MAPT were knocked in. The citing paper’s own results are not provided, so their consistency with Huang et al.’s findings cannot be assessed here. (LLM, conf=0.90)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Published work indicates that Aβ pathology strongly stimulates the Disease Associated Microglial phenotype while MAPT pathology elicits microglial responses exhibiting weaker cytokine production.

    “These results are also consistent with published work indicating that Aβ pathology strongly stimulates the “Disease Associated Microglial” phenotype while MAPT pathology elicits microglial responses exhibiting weaker cytokine production (Paolicelli et al., 2022).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Paolicelli et al., 2022 source

      In “Microglial States in the Diseased CNS” (page unavailable), the paper reports a DAM signature in Alzheimer’s disease models and human samples, as well as a distinct tau-associated microglial cluster. It does not say that Aβ pathology strongly stimulates DAM or that responses to MAPT pathology produce fewer cytokines; it explicitly leaves open whether TREM2 senses amyloid-β pathology. (LLM, conf=0.83)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    TREM2 is one of the strongest risk factors for AD, and evidence suggests that TREM2 acts to recognize Aβ pathology and direct microglial responses toward the pathology.

    “For instance, TREM2 is one of the strongest risk factors for AD, and evidence suggests that TREM2 acts to recognize Aβ pathology and direct microglial responses toward the pathology (Guerreiro et al., 2013; Zhou et al., 2020).”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites Guerreiro et al., 2013 source

      The Abstract and Results report that rare TREM2 variants significantly increase Alzheimer’s disease risk. The Discussion reports TREM2 expression in microglia around amyloid plaques and describes it as a possible gateway for microglial responses. It does not establish that TREM2 itself recognizes Aβ pathology or directly guides microglia toward it. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
    • cites Zhou et al., 2020 source

      The introductory passage in the Abstract (page unavailable) says TREM2 variants raise AD risk several-fold and that loss of TREM2 function restricts microglia from surrounding Aβ plaques. The Results section on DAM signatures (page unavailable) also reports that both Aβ and TREM2 are required for the disease-associated microglial response. These passages support a role in directing microglial responses to Aβ pathology, but do not establish that TREM2 itself recognizes that pathology. (LLM, conf=0.83)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Premisecitation

    Cell body MAPT pathology colocalizes with markers of the translational stress response, such as stress granule proteins HNRNPA2B1, TIA1, EIF3n and PABP, and also neuronal death (cleaved caspase 3 and loss of NeuN positive cells).

    “The cell body MAPT pathology is particularly important because this pathology colocalizes with markers of the translational stress response, such as stress granule proteins HNRNPA2B1, TIA1, EIF3n and PABP, and also neuronal death (as shown by cleaved caspase 3 and loss of NeuN positive cells) (Ash et al., 2014; Apicco et al., 2018; Maziuk et al., 2018; Apicco et al., 2019; Jiang et al., 2019, 2021”
    Quote in the paperNot a substantial claim3 of 3 sources checked
    • cites Ash et al., 2014 source

      The 'SGs in Neurodegenerative disease' section reports that TIA-1 colocalizes with pathological tau in affected neurons, supporting that part of the claim. It does not report colocalization with HNRNPA2B1, EIF3n or PABP, or demonstrate neuronal death by cleaved caspase 3 or loss of NeuN-positive cells. The same section cautions that tau pathology in a neuron is not necessarily correlated with that neuron's demise. No page numbers are available in our copy. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
    • cites Apicco et al., 2018 source

      The Results (page not provided) report TIA1 co-labeling of pre-fibrillar tau aggregates, TIA1 puncta co-localizing with PABP, and fewer NeuN-positive neurons in the tauopathy mice. They do not show cell-body tau pathology co-localizing with all four named stress-granule proteins or with markers of neuronal death; the passages found do not report cleaved caspase 3. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
    • cites Maziuk et al., 2018 source

      The Results (Figs. 1 and 4; page not provided) show that TIA1 and PABP colocalize with diffuse phosphorylated tau in neuronal cell bodies, but that colocalization is reduced or absent in mature tangles. The proteins reported in Fig. 4 are HNRNPA0 and eIF2α, not the claim’s HNRNPA2B1 and EIF3n. These passages do not establish neuronal death through cleaved caspase 3 or loss of NeuN-positive cells. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    The classic model of AD is based on the Aβ cascade and proposes that aggregated Aβ stimulates inflammation, and that these two factors produce additive injury to elicit neurodegeneration in AD.

    “The classic model of AD is based on the Aβ cascade and proposes that aggregated Aβ stimulates inflammation, and that these two factors produce additive injury to elicit neurodegeneration in AD (Scheltens et al., 2021).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Scheltens et al., 2021 source

      The Conclusions identify an amyloid-β cascade hypothesis, and the Pharmacological section says neuroinflammation contributes to neurodegeneration. But the Pathophysiology section places neuroinflammation upstream of or parallel to amyloid-β accumulation; it does not describe aggregated amyloid-β stimulating inflammation or the two producing additive injury. The paper also says the cascade hypothesis has been modified, rather than presenting the cited sequence as its account. (LLM, conf=0.85)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Premisecitation

    The same studies indicate that the presence of MAPT pathology either does not change the accumulation of Aβ pathology or decreases it.

    “These same studies indicate that the presence of MAPT pathology either does not change the accumulation of Aβ pathology or decreases it (Saul et al., 2013; Chabrier et al., 2014; Heraud et al., 2014; Stancu et al., 2014; Chen et al., 2016; Kang et al., 2021), with only one initial study suggesting that MAPT pathology increases Aβ pathology (Ribe et al., 2005).”
    Quote in the paperNot a substantial claim1 of 3 sources checked
    • cites Saul et al., 2013 source
    • cites Chabrier et al., 2014 source

      The Results section on APP and tau accumulation reports unchanged total APP levels in hAPPSL/hTau mice compared with hAPPSL mice, which supports a narrower no-change finding. It does not report a comparison of Aβ accumulation between those groups, so unchanged APP cannot establish that tau pathology leaves Aβ pathology unchanged or decreases it. No page number is available in our copy. (LLM, conf=0.83)

      Experimental — accuracy not yet measured
    • cites Heraud et al., 2014 source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    This injury is further enhanced by aging, vascular damage, metabolic conditions such as Type II Diabetes and genetic risk factors.

    “This injury is further enhanced by aging, vascular damage, metabolic conditions such as Type II Diabetes and genetic risk factors (Scheltens et al., 2021).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Scheltens et al., 2021 source

      The Epidemiology section identifies advanced age and APOE ε4 as major Alzheimer’s disease risk factors and associates cardiovascular risks with dementia. The Pathophysiology discussion also places ageing and vascular changes in the disease landscape. But the paper does not establish that type 2 diabetes or these factors enhance the injury described in the claim; it cautions that vascular risks may contribute to dementia without increasing Alzheimer’s pathology. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    The m6A modification occurs in all types of RNA, although it has the lowest abundance in tRNA.

    “The m6A modification occurs in all types of RNA, although it has the lowest abundant in tRNA (Linder et al., 2015; Flamand et al., 2023).”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites Linder et al., 2015 source

      The Results sections on crosslinking sites and snoRNAs identify m6A in rRNA and snoRNAs, and the Abstract reports it in mRNA. Our copy does not establish that m6A occurs in all RNA types or that its abundance is lowest in tRNA; a search for tRNA abundance found no supporting passage. Page numbers were not available in the indexed copy. (LLM, conf=0.87)

      Experimental — accuracy not yet measured
    • cites Flamand et al., 2023 source

      The Introduction reports m6A in mRNA, and the section on m6A recognition by the YTH domain identifies m6A sites in 18S and 28S rRNA (pages unavailable). The review does not establish that m6A occurs in all RNA types or that its abundance is lowest in tRNA; its discussion of tRNA in ‘Writers of other mRNA modifications’ concerns other modifications. (LLM, conf=0.82)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    m6A accumulates in the cytoplasm in response to stress.

    “m6A is known to accumulate in the cytoplasm in response to stress, but the function of cytoplasmic m6A remains to be clearly delineated (Meier et al., 2016; Briggs et al., 2017; Koren et al., 2019; Ries et al., 2019; Wolozin and Ivanov, 2019; Fu and Zhuang, 2020).”
    Quote in the paperNot a substantial claim3 of 3 sources checked
    • cites Meier et al., 2016 source

      The Results passages describe pathological tau associating with ribosomes and reducing protein synthesis, not m6A localization. Searches for m6A, N6-methyladenosine, and cytoplasmic accumulation under stress found no passage addressing the claim in our copy. (LLM, conf=0.74)

      Experimental — accuracy not yet measured
    • cites Briggs et al., 2017 source

      The Introduction discusses ER stress, unfolded proteins, and stress-related translation of ATF4 mRNA, but not m6A or its location in the cell. Searches for m6A, cytoplasmic accumulation, and N6-methyladenosine found no passage in our copy addressing the claim. (LLM, conf=0.76)

      Experimental — accuracy not yet measured
    • cites Koren et al., 2019 source

      The Results and Discussion passages address tau, ribosomal proteins, and translation in Alzheimer’s disease, not cytoplasmic m6A accumulation. Searches for m6A accumulation under stress and for N6-methyladenosine found no passage in our copy addressing that claim. (LLM, conf=0.76)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductcitation

    Antibodies against m6A also recognize demethylated adenosine, m6Am.

    “Antibodies against m6A also recognize demethylated adenosine, m6Am.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Linder et al., 2015 source

      The Abstract reports that anti-m6A antibodies also produce mutational signatures at m6Am, supporting the claim that they recognize it. But it identifies m6Am as N6,2′-O-dimethyladenosine, not demethylated adenosine. (LLM, conf=0.91)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    m6Am non-enzymatically converts to m6A.

    “Interestingly, m6Am also non-enzymatically converts to m6A, so the biological impact of m6Am is currently ambiguous (Linder et al., 2015; Flamand et al., 2023).”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites Linder et al., 2015 source

      The Results section, “CITS miCLIP identifies m6Am at the TSS” (page unavailable), says the function of m6Am is poorly understood, but does not say it converts to m6A. Searches for non-enzymatic conversion, demethylation, and loss of the 2′-O-methyl group found no passage addressing the claimed conversion. (LLM, conf=0.72)

      Experimental — accuracy not yet measured
    • cites Flamand et al., 2023 source

      The “Writers of other mRNA modifications” section describes enzymatic formation of m6Am by PCIF1 and uncertainty about m6Am’s biological effects. It does not address non-enzymatic conversion of m6Am to m6A; searches for that conversion and its proposed mechanism found no passage stating it. (LLM, conf=0.74)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    Since aggregated MAPT is thought to mediate Aβ induced degeneration, the absence of MAPT pathology might explain the low levels of neurodegeneration observed in APP mouse models.

    “since aggregated MAPT is thought to mediate Aβ induced degeneration, the absence of MAPT pathology also might explain the low levels of neurodegeneration observed in APP mouse models (Oakley et al., 2006).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Oakley et al., 2006 source

      The sections “Intraneuronal Aβ, neurodegeneration, and amyloid plaque formation” and “5XFAD mice: rapid amyloid pathology models” report that most APP mouse models lack robust neuron loss and that tangles have not been reported in APP or APP/PS1 models. They do not propose that absent MAPT pathology explains the limited neuron loss; indeed, the paper reports neuron loss in 5XFAD mice despite finding no abnormally phosphorylated tau epitopes. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
    • Rests on an assumption: Aggregated MAPT mediates Aβ induced degeneration.
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    m6Am constitutes 2-10% of total m6A detected in tissues, with brain being on the lower end of the abundance.

    “This modification constitutes 2–10% of total m6A detected in tissues, with brain being on the lower end of the abundance (Linder et al., 2015).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Linder et al., 2015 source

      The Results section, “CITS miCLIP identifies m6Am at the TSS” (page unavailable), reports mapping m6Am in mRNAs but gives no 2–10% abundance estimate or tissue comparison. Searches for that percentage, relative abundance, and brain found no passage supporting the claim; the Methods describe HEK293 cells and mouse liver, not brain tissue. (LLM, conf=0.75)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Conditional knockout of METTL3 in microglia attenuated inflammation and Aβ accumulation in a mouse model based on Aβ injection.

    “indeed a recent study observed that conditional knockout of METTL3 in microglia attenuated inflammation and Aβ accumulation in a mouse model based on Aβ injection (Yin et al., 2023).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Yin et al., 2023 source

      The Results section on Aβ clearance (page not available) reports significantly lower cortical amyloid burden in Aβ-injected mice with METTL3 depletion. But the study attributes this effect to monocyte-derived macrophages, not a microglia-specific knockout. The passages found do not report that inflammation was attenuated. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Interpretationcitation

    The increases in m6A are also consistent with the observed increase in the m6A writer METTL3, and decrease in m6A eraser ALKBH5.

    “The increases in m6A are also consistent with the observed increase in the m6A writer, METTL3, and decrease in m6A eraser, ALKBH5 (Tong et al., 2018).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Tong et al., 2018 source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    m6A primarily accumulated in neuronal soma, but also co-localized with a subset of astrocytes and microglia.

    “m6A primarily accumulated in neuronal soma, but also co-localized with a subset of astrocytes and microglia.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    MAPT pathology neither changed levels of amyloid precursor protein nor potentiated A accumulation.

    “MAPT pathology neither changed levels of amyloid precursor protein nor potentiated A accumulation.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    The APPNL-G-F/MAPTP301S mouse model showed strong accumulation of N6-methyladenosine (m6A).

    “The APPNL-G-F/MAPTP301S mouse model also showed strong accumulation of N6-methyladenosine (m6A), which was recently shown to be elevated in the AD brain.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The m6A changes observed in the APPNL-G-F/MAPTP301S mouse model correspond to those in human AD.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Aβ38 levels decreased with age in APPNL-G-F and APPNL-G-F × MAPTP301S mice.

    “In contrast, Aβ38 levels decreased with age in APPNL-G-F and APPNL-G-F × MAPTP301S mice (Figure 1D).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    In the APPNL-G-F mouse the Aβ42 level peaked at 6 months and remained constant at 9 months.

    “Notably, in the APPNL-G-F mouse the Aβ42 level peaked at 6 months and remained constant at 9 months while levels of Aβ42 steadily increased with age (at 3, 6, and 9 months) in APPNL-G-F × MAPTP301S mouse brain (Figure 1C).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Both APPNL-G-F/MAPTP301S and MAPTP301S accumulated hyperphosphorylated tau.

    “The result showed that both APPNL-G-F/MAPTP301S and MAPTP301S accumulated hyperphosphorylated tau, but crossing APPNL-G-F to MAPTP301S increased the accumulation of pTau181 and 217 (Figures 2B–D).”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    BDNF transcript was elevated in each of the mouse models.

    “Quantification of BDNF transcript by RT-PCR in the APPNL-G-F/MAPTP301S mouse model showed elevation BDNF each of the mouse models (Figure 3I).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    WT brain exhibited very little labeling.

    “As expected, WT brain exhibited very little labeling (Supplementary Video S3).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Neuritic plaques were evident throughout the neocortex.

    “Neuritic plaques were evident throughout the neocortex, as expected (Supplementary Videos S1–3 Aβ = Green).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Mice carrying MAPTP301S and APPNL-G-F/MAPTP301S genes exhibited levels of TNF-α and IL-1β elevated compared to WT mice but significantly less than APPNL-G-F mice.

    “interestingly, mice carrying the MAPTP301S and APPNL-G-F/MAPTP301S genes exhibited levels that were elevated compared to WT mice, but significantly less than that in the APPNL-G-F mice (Figures 3E,H).”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    Labeling for phospho-tau was weak due to technical difficulties, but labeling present in APPNL-G-F/MAPTP301S mouse brains occurred in the hippocampus and entorhinal cortex.

    “Labeling for phospho-tau encountered technical difficulties, so was weak, but the labeling that was present in the APPNL-G-F/MAPTP301S mouse brains occurred in the hippocampus and entorhinal cortex (Supplementary Videos S2, 3, pS202/5 MAPT, AT8 = Red).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Strong labeling of oligomeric MAPT was selective for the somatic compartment of neurons and exhibited progressive age-dependent accumulation.

    “The result showed strong labeling of oligomeric MAPT that was selective for the somatic compartment of the neurons and exhibited progressive age dependent accumulation as the mice (Figure 2F).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Similar results were observed for astrocytosis, along with strong co-localization with Aβ plaques.

    “Similar results were observed for astrocytosis (labeled by astrocytic marker GFAP), along with strong co-localization with the Aβ plaques (Figures 3A,D).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Microglia respond to MAPT pathology; Iba-1 reactivity was increased in the P301S MAPT model, but not to the same level as observed in the APPNL-G-F or APPNL-G-F/MAPTP301S model.

    “However, it is important to note that microglia do respond to MAPT pathology, Iba-1 reactivity was increased in the P301S MAPT model, but not to the same level as observed in the APPNL-G-F or APPNL-G-F/MAPTP301S model.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    The amount and distribution of m6A parallels MAPT pathology.

    “In addition, the amount and distribution of m6A parallels MAPT pathology.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    These microglia were more abundant and showed greater ramifications than in the P301S MAPT model.

    “These microglia were more abundant and showed greater ramifications than in the P301S MAPT model.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingnone given

    The APPNL-G-F/MAPTP301S model exhibits strong Aβ accumulation and strong inflammation.

    “This model exhibits strong Aβ accumulation and strong inflammation, while avoiding artifacts associated with APP or presenilin over-expression.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The APPNL-G-F/MAPTP301S mouse model is a valid model of Alzheimer's disease relevant to human disease.
  • May combine two claims.

    Findingown data

    Some astrocytes and microglia also exhibited strong increases in m6A in the APPNL-G-F/MAPTP301S model, although changes in m6A were most evident in neurons.

    “Although changes in m6A were most evident in neurons, the results in Figure 5A show that some astrocytes and microglia also exhibited strong increases in m6A in the APPNL-G-F/MAPTP301S model.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Anti-m6A antibody immunohistochemistry reliably reflects total m6A levels despite cross-reactivity with m6Am.
  • May combine two claims.

    Findingown data

    Increases in m6A observed correlate with MAPT pathology and show a corresponding association with increased levels of METTL3 and reduced levels of ALKBH5.

    “The increases in m6A observed correlate with MAPT pathology are show a corresponding association with increased levels of METTL3 and reduced levels of ALKBH5, which are the enzymes that, respectively, add and remove m6A from mRNA.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Anti-m6A antibody immunohistochemistry reliably reflects total m6A levels despite cross-reactivity with m6Am.
  • May combine two claims.

    Premisecitation

    Human APP knockin (KI) models develop robust Aβ pathology, yet do not exhibit artifacts associated with APP over-expression, such as elevated levels of APP cleavage products.

    “Human APP knockin (KI) models develop robust Aβ pathology, yet do not exhibit artifacts associated with APP over-expression, such as elevated levels of APP cleavage products (Saito et al., 2014).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Saito et al., 2014 source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Use of all animals was approved by the Boston University IACUC.

    “Use of all animals was approved by the Boston University Institutional and Animal Care and Use Committee (IACUC).”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisecitation

    Mouse models over-expressing WT or mutant tau develop robust tau pathologies.

    “These models develop robust tau pathologies, including pathologically phosphorylated, misfolded, oligomeric and/or fibrillar forms of tau pathology.”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Hutton et al., 2001 source
    • cites Sasaguri et al., 2017, 2022

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationown data

    The APPNL-G-F × MAPTP301S double transgenic mouse model recapitulates the progressive accumulation Aβ plaques and levels similar to that seen in the APPNL-G-F model although total levels of APP and Aβ accumulation are lower in the cross than with the knock-in gene alone.

    “These results indicate that the APPNL-G-F × MAPTP301S double transgenic mouse model recapitulates the progressive accumulation Aβ plaques and levels similar to that seen in the APPNL-G-F model although total levels of APP and Aβ accumulation are lower in the cross than with the knock-in gene alone.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    Standards with known concentrations were used for Aβ, and all standards and samples were run in duplicate.

    “Standards with known concentrations were used for Aβ, and all standards and samples were run in duplicate.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    The quantification of cell numbers was done in a blinded manner, with the investigator analyzing the samples being different than the investigator coding the samples.

    “The quantification of cell numbers was done in a blinded manner, with the investigator analyzing the samples being different than the investigator coding the samples.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    Neurodegeneration parallels tau pathology, being enhanced in the double transgenic mouse.

    “Neurodegeneration parallels tau pathology, being enhanced in the double transgenic mouse.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    From an anatomical perspective, the disparate distribution of Aβ and MAPT pathology in the APPNL-G-F/MAPTP301S model might also be accentuated by the strong genetic engineering that drives the MAPT pathology.

    “From an anatomical perspective, the disparate distribution of Aβ and MAPT pathology in the APPNL-G-F/MAPTP301S model might also be accentuated by the strong genetic engineering that drives the MAPT pathology, although general toxicity from Aβ accumulation does appear to enhance total MAPT pathology and neurodegeneration in this model.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    General toxicity from Aβ accumulation does appear to enhance total MAPT pathology and neurodegeneration in this model.

    “From an anatomical perspective, the disparate distribution of Aβ and MAPT pathology in the APPNL-G-F/MAPTP301S model might also be accentuated by the strong genetic engineering that drives the MAPT pathology, although general toxicity from Aβ accumulation does appear to enhance total MAPT pathology and neurodegeneration in this model.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    The accumulation of Aβ in the APPNL-G-F/MAPTP301S model clearly does accelerate the appearance and enhance the amount of MAPT pathology moderately.

    “Such a strong genetic push reduces the need for a toxin, such as Aβ, to drive the MAPT pathology, although the accumulation of Aβ in the APPNL-G-F/MAPTP301S model clearly does accelerate the appearance and enhance the amount of MAPT pathology moderately (Graphical abstract).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    MAPT pathology in the MAPTP301S model accumulates rapidly because of the strong MAPT expression (the human protein is expressed about 5-fold higher than the endogenous mouse protein) and the protein itself has a mutation that enhances the rate of aggregation.

    “MAPT pathology in the MAPTP301S model accumulates so rapidly because of the strong MAPT expression (the human protein is expressed about 5-fold higher than the endogenous mouse protein) and the protein itself has a mutation that enhances the rate of aggregation (Yoshiyama et al., 2007).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Yoshiyama et al., 2007 source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    One initial study suggested that MAPT pathology increases Aβ pathology.

    “with only one initial study suggesting that MAPT pathology increases Aβ pathology (Ribe et al., 2005).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Ribe et al., 2005 source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The animal studies were approved by Boston University Institutional Animal Care and Use Committee.

    “The animal studies were approved by Boston University Institutional Animal Care and Use Committee.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    MAPT pathology co-localizes with the RNA binding protein HNRNPA2B1, which functions as an indirect m6A reader.

    “This finding is consistent with the observation that MAPT pathology co-localizes with the RNA binding protein, HNRNPA2B1, which functions as an indirect m6A reader.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Jiang L. et al., 2021

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

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

    Study design and conductnone given

    The studies were conducted in accordance with the local legislation and institutional requirements.

    “The studies were conducted in accordance with the local legislation and institutional requirements.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    The APPNL-G-F/MAPTP301S model provides a useful compromise.

    “The current APPNL-G-F/MAPTP301S model thus provides a useful compromise.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The APPNL-G-F/MAPTP301S mouse model is a valid model of Alzheimer's disease relevant to human disease.
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    The APPNL-G-F/MAPTP301S model avoids artifacts associated with APP or presenilin over-expression.

    “This model exhibits strong Aβ accumulation and strong inflammation, while avoiding artifacts associated with APP or presenilin over-expression.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The APPNL-G-F/MAPTP301S mouse model is a valid model of Alzheimer's disease relevant to human disease.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    The increases observed for m6A parallel those reported by our group previously.

    “The increases observed for m6A parallel those reported by our group previously (Jiang L. et al., 2021).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Jiang L. et al., 2021

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

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

    Study design and conductreasoning

    Use of the m6A antibody does not provide insight into methylation of individual RNA molecules.

    “Use of the m6A antibody does not provide insight into methylation of individual RNA molecules.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Oligomeric MAPT (which is highly phosphorylated) forms a complex with m6A and the m6A reader HNRNPA2B1.

    “Our prior work shows that oligomeric MAPT (which is highly phosphorylated) forms a complex with m6A and the m6A reader HNRNPA2B1 (Jiang L. et al., 2021).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Jiang L. et al., 2021

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

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

    Premisecitation

    m6A regulates inflammation, macrophages and also astrocytosis.

    “Such results are consistent with emerging studies showing that m6A regulates inflammation, macrophages and also astrocytosis (Cockova et al., 2021; Yi et al., 2021; Sun Z. et al., 2022; Sun J. et al., 2022; Wang et al., 2022).”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites Cockova et al., 2021 source
    • cites Yi et al., 2021

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Sun Z. et al., 2022

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

70 of 70
  • The paper relies on this without support.

    Over-expression of P301S MAPT does not introduce artifacts that confound the interpretation of the model's pathologies.

    “we sought to create a model that avoided artifacts associated with APP over-expression, yet utilizes over-expression of P301S MAPT to promote robust tau pathology.”
  • The paper relies on this without support.

    The m6A changes observed in the APPNL-G-F/MAPTP301S mouse model correspond to those in human AD.

    “The APPNL-G-F/MAPTP301S mouse model also showed strong accumulation of N6-methyladenosine (m6A), which was recently shown to be elevated in the AD brain.”
  • The paper relies on this without support.

    The C57BL/6J background does not confound the observed pathologies.

    “Due to littermates being heterozygous for the APP mutations, wild-type C57BL/6 J mice were used as controls.”
  • The paper relies on this without support.

    Mouse MAPT has only 3 repeats and a much lower tendency to aggregate.

    “Mouse MAPT has only 3 repeats and a much lower tendency to aggregate; since aggregated MAPT is thought to mediate Aβ induced degeneration, the absence of MAPT pathology also might explain the low levels of neurodegeneration observed in APP mouse models (Oakley et al., 2006).”
  • The paper relies on this without support.

    Aggregated MAPT mediates Aβ induced degeneration.

    “since aggregated MAPT is thought to mediate Aβ induced degeneration, the absence of MAPT pathology also might explain the low levels of neurodegeneration observed in APP mouse models (Oakley et al., 2006).”
  • The paper relies on this without support.

    Anti-m6A antibody immunohistochemistry reliably reflects total m6A levels despite cross-reactivity with m6Am.

    “The results are clear in that m6A levels (as determined by immunohistochemistry with the anti- m6A antibody) follow MAPT pathology (Graphical abstract).”
  • The paper relies on this without support.

    The APPNL-G-F/MAPTP301S mouse model is a valid model of Alzheimer's disease relevant to human disease.

    “The APPNL-G-F/MAPTP301S model described in this manuscript takes advantage of the APPNL-G-F KI line, but utilizes the human MAPTP301S line in order to achieve robust MAPT pathology.”
  • The paper relies on this without support.

    The field is increasingly moving towards use of knock-in models.

    “The field is increasingly moving towards use of KI models.”
8 of 8

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.

  • Abstract says MAPT does not change APP levels, but results say it reduces them

    Major

    The abstract states that MAPT pathology did not change amyloid precursor protein levels. The results instead report reduced APP expression in mice carrying the tau transgene at every age examined.

  • APP immunoblot antibody is identified two different ways

    Minor

    The results identify the antibody used for the Figure 1 APP immunoblots as 48G, whereas the Figure 1 caption identifies it as 4G8.

  • Figure 5 is said to compare m6A across genotypes, but its caption describes only two groups

    Minor

    The discussion says Figure 5 directly compares m6A levels under MAPT pathology alone, Aβ pathology alone, and combined pathology. The caption describes its m6A measurement as a comparison only between the combined-genotype mice and WT controls; the other panels measure enzymes, not m6A levels.

3 of 3

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Authors
Jiang, L., Roberts, R., Wong, M., Zhang, L., Webber, C. J., Libera, J., Wang, Z., Kilci, A., Jenkins, M., Ortiz, A. R., Dorrian, L., Sun, J., Sun, G., Rashad, S., Kornbrek, C., Daley, S. A., Dedon, P. C., Nguyen, B., Xia, W., Saito, T., Saido, T. C., & Wolozin, B.
Affiliations
  • Boston University (US)
  • Singapore-MIT Alliance for Research and Technology (SG)
  • Massachusetts Institute of Technology (US)
  • Tohoku University (JP)
  • Nagoya City University (JP)
  • RIKEN Center for Brain Science (JP)
Corresponding author
  • Jiang, Lulu
  • Wolozin, Benjamin
Venue
Frontiers in Neuroscience
Published
2024-03-20
Volume
18
Pages
1372297-1372297
ISSN
1662-453X (ISSN-L)
OpenAlex
W4393012593
Cited by
15
References
85
Citations by year
2026: 5 · 2025: 10
FWCI
3.52
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Neuroscience (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • BrightFocus Foundation
  • National Institutes of Health (1rf1ag061706-01, R01AG080810, 1r01ag091577-01)
  • Japan Society for the Promotion of Science (23K26790, 20KK0338)
  • National Institute on Aging (R01‐AG080810, U01 AG072577, R01AG064932, RF1 AG061706, RF1AG056318, R01AG050471)
Topics
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Keywords
Alzheimer's disease, amyloid-beta deposition, tau pathology, amyloid plaques, neuroinflammation, neurodegeneration, microglial inflammation, N6-methyladenosine, METTL3, ALKBH5, mRNA methylation, hippocampus, entorhinal cortex

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 2026-10-24.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-24.

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 ›

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