Evidence map›Paper›PMID 39923353›Full record

ArticleJournal of psychiatric research2025

Clinical heterogeneity in major depressive disorder underlies comorbidity with functional disorders.

Nathaniel S Thomas, Nathan A Gillespie, Michael C Neale, Judith G M Rosmalen, Hanna M van Loo, Kenneth S Kendler

Abstract read
In one paragraph

Article in Journal of psychiatric research, 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. Review
  3. Symptom-specific genetics reveal heterogeneity within major depressive disorder.medRxiv : the preprint server for health sciences · 2026
    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

6 authors.

Nathaniel S ThomasVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Box 980126, Richmond, VA, 23298-0126, USA. Electronic address: nathaniel.thomas@rutgers.edu.
Nathan A GillespieVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Box 980126, Richmond, VA, 23298-0126, USA.
Michael C NealeVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Box 980126, Richmond, VA, 23298-0126, USA.
Judith G M RosmalenUniversity of Groningen, University Medical Center Groningen, Department of Psychiatry, P.O. Box 30.001, 9700 RB, Groningen, Netherlands; University of Groningen, University Medical Center Groningen, Department of Internal Medicine, P.O. Box 30.001, 9700 RB, Groningen, Netherlands.
Hanna M van LooUniversity of Groningen, University Medical Center Groningen, Department of Psychiatry, P.O. Box 30.001, 9700 RB, Groningen, Netherlands.
Kenneth S KendlerVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Box 980126, Richmond, VA, 23298-0126, USA.

Funding

Research Training: Psychiatric &Statistical GeneticsT32MH020030 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI HERMINE H MAES, MICHAEL CHURTON NEALE · 1999 to 2026
$6.7M
An Integrative Approach to the Etiology of Internalizing Disorders in the Lifelines CohortR01MH125902 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENNETH SEEDMAN KENDLER, Hanna van Loo · 2022 to 2026
$2.8M
NIMH NIH HHS R01 MH125902NIMH NIH HHS T32 MH020030
6 · The paper itself

Abstract

The comorbidities between MDD and functional disorders (FDs), such as fibromyalgia (FM), myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), and irritable bowel syndrome (IBS) remain largely unexplored. We analyzed data from 10,563 lifetime MDD cases (mean age = 50.5 (SD = 11.9), 71.8% female) from the Lifelines Cohort Study. Lifetime MDD symptoms from DSM-5 criterion A were assessed in 2018. Current FDs were assessed according to diagnostic criteria between 2014 and 2017. First, we modeled the effect of 12 disaggregated MDD symptoms on FM, ME/CFS, and IBS diagnoses using multiple logistic regression. Most, but not all, MDD symptoms were associated with FD diagnoses, suggesting that some features of MDD are particularly important to the comorbidity between MDD and FDs. Next, we used Latent Class Analysis to classify MDD cases based on their symptoms to explore whether MDD - FD comorbidities were associated with specific symptom profiles. We found that a five-class solution provided the best balance of model fit and entropy. Two classes, termed severe typical and anhedonia/weight gain, associated with increased prevalence of all FDs. The severe typical class was equally associated with FM and ME/CFS, while the anhedonia/weight gain class was differentially associated with pairs of FDs suggesting that features of the anhedonia/weight gain class are uniquely related to different FDs with varying magnitudes of effect and, possibly, different mechanisms. The comorbidity between MDD and FDs does not appear to result from a single mechanism. Identification of the mechanisms that underlie the association between MDD and FDs is a priority for future work.

Indexed as

Fatigue Syndrome, ChronicFibromyalgiaIrritable Bowel SyndromeMajor Depressive DisorderAdultAgedCohort StudiesComorbidityFemaleHumansMaleMiddle AgedComorbidityFunctional disordersHeterogeneityLatent class analysisMajor depressive disorder

Identifiers

PMID39923353
PMCPMC12442508

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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.