Evidence map›Paper›PMID 38350292›Full record

ArticlePsychiatry research2024

Sex differences in plasma proteomic markers in late-life depression.

Xiangning Xue, Derya Demirci, Eric J Lenze, Charles F Reynolds Iii, Benoit H Mulsant, Julie Loebach Wetherell, Gregory F Wu, Daniel M Blumberger, Jordan F Karp, Meryl A Butters and 4 more

Open access · greenAbstract read
In one paragraph

Article in Psychiatry research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 19% of its field
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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. A Transcriptomic Signature of Depressive Symptoms in Late Life.Biological psychiatry global open science · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. 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

14 authors at 6 institutions in 2 countries.

Xiangning XueDepartment of Biostatistics, University of Pittsburgh School of Public Health, PA USA.
Derya DemirciUConn Center on Aging, University of Connecticut, Farmington, CT USA.
Eric J LenzeDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO USA.
Charles F Reynolds IiiDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA USA.
Benoit H MulsantDepartment of Psychiatry, Temerty Faculty of Medicine, University of Toronto, & Centre for Addiction and Mental Health, Toronto, ON Canada.
Julie Loebach WetherellVA San Diego Healthcare System, Mental Health Impact Unit 3, University of California, San Diego Department of Psychiatry USA.
Gregory F WuDepartment of Neurology, Washington University, St Louis, MO USA.
Daniel M BlumbergerDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA USA; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, & Centre for Addiction and Mental Health, Toronto, ON Canada.
Jordan F KarpDepartment of Psychiatry, The University of Arizona College of Medicine, Tucson, AZ USA.
Meryl A ButtersDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA USA.
Ana Paula Mendes-SilvaDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA USA.
Erica L VieiraDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA USA.
George TsengDepartment of Biostatistics, University of Pittsburgh School of Public Health, PA USA.
Breno S DinizUConn Center on Aging, University of Connecticut, Farmington, CT USA; Department of Psychiatry, UConn School of Medicine, Farmington, CT USA. Electronic address: diniz@uchc.edu.
University of Pittsburgh · USCentre for Addiction and Mental Health · CAUConn Health · USWashington University in St. Louis · USUniversity of Arizona · USUniversity of California San Diego · US

Funding

Remediating Age Related-Cognitive Decline: Mindfulness-Based Stress Reduction and ExerciseR01AG049369 · NIA · WASHINGTON UNIVERSITY · PI LENZE, ERIC J · 2014 to 2019
$15.6M
1/3-Incomplete Response in Late-Life Depression: Getting to RemissionR01MH083660 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REYNOLDS, CHARLES F. · 2009 to 2013
$2.7M
EVALUATION OF MOLECULAR MECHANISMS OF TREATMENT RESPONSE IN LATE LIFE DEPRESSIONR01MH118311 · NIMH · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI DINIZ, BRENO SATLER, TSENG, GEORGE C. · 2019 to 2022
$2.0M
NIA NIH HHS R01 AG049369NIMH NIH HHS R01 MH083660NIMH NIH HHS R01 MH118311
6 · The paper itself

Abstract

Previous studies have shown significant sex-specific differences in major depressive disorder (MDD) in multiple biological parameters. Most studies focused on young and middle-aged adults, and there is a paucity of information about sex-specific biological differences in older adults with depression (aka, late-life depression (LLD)). To address this gap, this study aimed to evaluate sex-specific biological abnormalities in a large group of individuals with LLD using an untargeted proteomic analysis. We quantified 344 plasma proteins using a multiplex assay in 430 individuals with LLD and 140 healthy comparisons (HC) (age range between 60 and 85 years old for both groups). Sixty-six signaling proteins were differentially expressed in LLD (both sexes). Thirty-three proteins were uniquely associated with LLD in females, while six proteins were uniquely associated with LLD in males. The main biological processes affected by these proteins in females were related to immunoinflammatory control. In contrast, despite the smaller number of associated proteins, males showed dysregulations in a broader range of biological pathways, including immune regulation pathways, cell cycle control, and metabolic control. Sex has a significant impact on biomarker changes in LLD. Despite some overlap in differentially expressed biomarkers, males and females show different patterns of biomarkers changes, and males with LLD exhibit abnormalities in a larger set of biological processes compared to females. Our findings can provide novel targets for sex-specific interventions in LLD.

Indexed as

DepressionMajor Depressive DisorderAgedAged, 80 and overBiomarkersFemaleHumansMaleMiddle AgedProteomicsSex CharacteristicsBiomarkersAgingBiomarkersLate-life depressionSex differences

Identifiers

PMID38350292
PMCPMC10947839
OpenAlexW4391597598

What OpenQuestion holds

Textmetadata
LicenceTDM
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.