Evidence map›Paper›PMID 40133178›Full record

ArticleTrends in molecular medicine2025

A sex-biased target against demyelination in Alzheimer's disease.

Kelsey R Babcock, Doudou Yu, Ashley E Webb

Abstract read
In one paragraph

Article in Trends in molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kelsey R BabcockGraduate Program in Neuroscience, Brown University, Providence, RI 02912, USA.
Doudou YuMolecular Biology, Cell Biology, and Biochemistry Graduate Program, Brown University, Providence, RI 02912, USA; The Buck Institute for Research on Aging, Novato, CA 94945, USA.
Ashley E WebbThe Buck Institute for Research on Aging, Novato, CA 94945, USA. Electronic address: awebb@buckinstitute.org.

Funding

Molecular mechanisms underlying the preservation of neural stem cell quiescence during agingR01AG053268 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI WEBB, ASHLEY E · 2017 to 2025
$3.2M
Pioneer transcription factors in aging and neurodegenerationR01AG073411 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI WEBB, ASHLEY E · 2021 to 2025
$2.4M
Investigation of impaired neural stem cell activation in Alzheimer's DiseaseR01AG076933 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI WEBB, ASHLEY E · 2022 to 2025
$1.7M
Molecular mechanisms underlying the preservation of neural stem cell quiescence during agingRF1AG053268 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI WEBB, ASHLEY E · 2022 to 2022
$1.5M
Selective vulnerability of cell types in brain aging and Alzheimer's diseaseK00AG083292 · NIA · UNIVERSITY OF WASHINGTON · PI Doudou Yu · 2025 to 2026
$143k
Selective vulnerability of cell types in brain aging and Alzheimer's diseaseF99AG083292 · NIA · BROWN UNIVERSITY · PI YU, DOUDOU · 2023 to 2024
$98k
NIA NIH HHS F99 AG083292NIA NIH HHS K00 AG083292NIA NIH HHS R01 AG053268NIA NIH HHS R01 AG073411NIA NIH HHS R01 AG076933NIA NIH HHS RF1 AG053268
6 · The paper itself

Abstract

Aging and Alzheimer's disease (AD) exhibit sex differences in several biological processes, including demyelination. In a recent study, Lopez-Lee et al. uncover the contributions of sex chromosomes and gonadal hormones to sex differences in demyelination and identify Toll-like receptor 7 (TLR7) as a potential target to ameliorate tauopathy-induced demyelination in men.

Indexed as

Alzheimer DiseaseDemyelinating DiseasesToll-Like Receptor 7AnimalsFemaleHumansMaleSex CharacteristicsToll-Like Receptor 7agingAlzheimer’s diseasedemyelinationneuroinflammationsex differencesTLR7

Identifiers

PMID40133178
PMCPMC11985262

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.