Evidence map›Paper›PMID 40094036›Full record

ArticleBiological psychiatry global open science2025

A Transcriptomic Signature of Depressive Symptoms in Late Life.

Stuart Matan-Lithwick, Melissa C Misztal, Mu Yang, Thomas DeLong, Shreejoy Tripathy, Jeffrey T Dunn, David A Bennett, Philip L De Jager, Yanling Wang, Daniel W Fisher and 2 more

Abstract read
In one paragraph

Article in Biological psychiatry global open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

12 authors.

Stuart Matan-LithwickKrembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
Melissa C MisztalKrembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
Mu YangKrembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
Thomas DeLongKrembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
Shreejoy TripathyKrembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
Jeffrey T DunnDepartment of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
David A BennettRush Alzheimer's Disease Center, Rush University, Chicago, Illinois.
Philip L De JagerCenter for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, New York.
Yanling WangRush Alzheimer's Disease Center, Rush University, Chicago, Illinois.
Daniel W FisherDepartment of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Hongxin DongDepartment of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Daniel FelskyKrembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.

Funding

Neurobehavior, Neuropathology, and Risk Factors in Alzheimer's DiseaseT32AG052354 · NIA · UNIVERSITY OF WASHINGTON · PI Brian C. Kraemer, ELAINE R. PESKIND · 2016 to 2026
$6.7M
NIA NIH HHS T32 AG052354
6 · The paper itself

Abstract

Background: Depressive symptoms in late life can impair daily function and accompany cognitive decline. However, the molecular mechanisms that underlie these changes in the brain remain poorly understood. Methods: Differential expression analysis was performed on bulk-tissue RNA sequencing data generated from dorsolateral prefrontal cortex samples of elderly participants in ROS/MAP (Religious Orders Study and Memory and Aging Project; Results: Increased abundance of the Prader-Willi syndrome-associated gene Conclusions: Building on recently published single-nucleus profiling, we present the largest-ever study of transcriptomic correlates of depressive symptoms in late life, revealing new insights into sex-specific regulators.

Indexed as

AgingDepressionDifferential expressionGeneticsPostmortem brainRNA-seq

Identifiers

PMID40094036
PMCPMC11909759

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.