Evidence map›Paper›PMID 40037936›Full record

ReviewTrends in genetics : TIG2025

Strategies for studying sex differences in brain aging.

Victor A Ansere, Seung-Soo Kim, Francesca Marino, Katherine Morillo, Dena B Dubal, Coleen T Murphy, Yousin Suh, Bérénice A Benayoun

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

8 authors.

Victor A AnsereLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA 90089, USA.
Seung-Soo KimDepartment of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY 10032, USA.
Francesca MarinoDepartment of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Katherine MorilloDepartment of Molecular Biology, Princeton University, Princeton, NJ, USA.
Dena B DubalDepartment of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA. Electronic address: Dena.Dubal@ucsf.edu.
Coleen T MurphyDepartment of Molecular Biology, Princeton University, Princeton, NJ, USA; LSI Genomics, Princeton University, Princeton, NJ, USA. Electronic address: ctmurphy@princeton.edu.
Yousin SuhDepartment of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA. Electronic address: ys3214@cumc.columbia.edu.
Bérénice A BenayounLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA 90089, USA; Molecular and Computational Biology Department, USC Dornsife College of Letters, Arts and Sciences, Los Angeles, CA 90089, USA; Biochemistry and Molecular Medicine Department, USC Keck School of Medicine, Los Angeles, CA 90089, USA. Electronic address: bbenayou@usc.edu.

Funding

THE IMPACT OF CELLULAR DEFENSE ON THE ROLE OF Ku80 IN GENOME MAINTENANCE AND LONGP01AG017242 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI VIJG, JAN · 1999 to 2023
$46.1M
Validation and characterization of the identified variants associated with human longevity in mouse modelsU19AG056278 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JAN VIJG · 2017 to 2026
$24.5M
Data Analysis CoreU54AG076040 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PHATNANI, HEMALI · 2021 to 2025
$13.1M
Combinatorial Actions of Genetic Variants and Gender Bias of Alzherimer's DiseaseR01AG057706 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GAGE, FRED H, GLASS, CHRISTOPHER K · 2017 to 2021
$8.1M
Enhancer-based Immune and Beta Cell Dysregulation Underlying T1D RiskR01DK127778 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI EGLI, DIETER MEINRAD, ROSENFELD, MICHAEL G · 2020 to 2023
$4.5M
Toward the Tissue-ome: A Map of the C. elegans Cell-specific TranscriptomeDP1GM119167 · NIGMS · PRINCETON UNIVERSITY · PI MURPHY, COLEEN TARA · 2015 to 2019
$4.0M
Systems Modeling of Alzheimers Disease in C. elegansRF1AG057341 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MURPHY, COLEEN TARA, SUH, YOUSIN · 2017 to 2017
$3.7M
New Methods to Uncover Global Transcriptional Programs for Disease Risk VariantsR01GM104459 · NIGMS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI SUH, YOUSIN · 2013 to 2016
$2.5M
Mechanisms of X-Chromosome-dependent Sex Difference inAlzheimers DiseaseRF1AG068325 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DUBAL, DENA BOU · 2020 to 2020
$2.3M
Understanding the regulation and impact of transposable elements in Vertebrate health and diseaseR35GM142395 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BENAYOUN, BERENICE ANATH · 2021 to 2025
$2.2M
From in vivo to in vitro heterochronic parabiosis to identify geronic factorsR01AG057433 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI RANDO, THOMAS A., SUH, YOUSIN · 2017 to 2020
$2.1M
Deciphering hormonal regulation of neutrophil biologyR01AG076433 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BENAYOUN, BERENICE ANATH · 2022 to 2025
$2.1M
NIA NIH HHS K00 AG079813NIA NIH HHS P01 AG017242NIA NIH HHS R01 AG057433NIA NIH HHS R01 AG057706NIA NIH HHS R01 AG061521NIA NIH HHS R01 AG069750NIA NIH HHS R01 AG076433NIA NIH HHS RF1 AG057341NIA NIH HHS RF1 AG068325NIA NIH HHS RF1 AG079176NIA NIH HHS U19 AG056278NIA NIH HHS U54 AG076040NIDDK NIH HHS R01 DK127778NIGMS NIH HHS DP1 GM119167NIGMS NIH HHS R01 GM104459NIGMS NIH HHS R35 GM142395
6 · The paper itself

Abstract

Studying sex effects and their underlying mechanisms is of major relevance to understanding brain health. Despite growing interests, experimentally studying sex differences, particularly in the context of aging, remains challenging. Since sex chromosomal content influences gonadal development, separating the effects of gonadal hormones and chromosomal factors requires specific model systems. Here, we highlight rodent and tractable models for examining sex dimorphism in brain and cognitive aging. In addition, we discuss multi-omic and bioinformatic approaches that yield biological insights from animal and human studies. This review provides a comprehensive overview of the diverse toolkit now available to advance our understanding of sex differences in brain aging.

Indexed as

AgingBrainSex CharacteristicsAnimalsFemaleHumansMaleSex Chromosomesbrain agingsex chromosomessex hormonessexual dimorphismX chromosome inactivation

Identifiers

PMID40037936
PMCPMC12324943

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.