Evidence map›Paper›PMID 40173244›Full record

ArticleScience advances2025

The inflammatory and genetic mechanisms underlying the cumulative effect of co-occurring pain conditions on depression.

Rongtao Jiang, Paul Geha, Matthew Rosenblatt, Yunhe Wang, Zening Fu, Maya Foster, Wei Dai, Vince D Calhoun, Jing Sui, Marisa N Spann and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07480460 (Frontostriatal Connectivity and Gene Expression in Exercise-induced Relief of Back Pain), which is not on this map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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.

NCT07480460 nacompletednot on this map

Frontostriatal Connectivity and Gene Expression in Exercise-induced Relief of Back Pain

TypeinterventionalSponsorMcGill UniversityRan2017 to 2021Enrolled57ConditionsChronic Low Back Pain (CLBP)ArmsSupervised physical exercise training
3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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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

11 authors.

Rongtao JiangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.ORCID 0000-0003-4657-0079
Paul GehaDepartment of Psychiatry, University of Rochester Medical Center, Rochester, NY 14642, USA.ORCID 0000-0002-0537-7216
Matthew RosenblattDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.ORCID 0000-0002-3894-6198
Yunhe WangNuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0002-0923-1441
Zening FuTri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.ORCID 0000-0002-1591-4900
Maya FosterInterdepartmental Neuroscience Program, Yale University, New Haven, CT 06520, USA.
Wei DaiDepartment of Biostatistics, Yale University, New Haven, CT 06520, USA.
Vince D CalhounTri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.
Jing SuiState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.ORCID 0000-0001-6837-5966
Marisa N SpannDepartment of Psychiatry, Columbia University Irving Medical Center, New York, NY 10032, USA.
Dustin ScheinostDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA.ORCID 0000-0002-6301-1167

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic pain conditions frequently coexist and share common genetic vulnerabilities. Despite evidence showing associations between pain and depression, the additive effect of co-occurring pain conditions on depression risk and the underlying mechanisms remain unclear. Leveraging data from 431,038 UK Biobank participants with 14-year follow-up, we found a significantly increased risk of depression incidence in individuals reporting pain, irrespective of body site or duration (acute or chronic), compared with pain-free individuals. The depression risk increased with the number of co-occurring pain sites. Mendelian randomization supported potential causal inference. We constructed a composite pain score by combining individual effects of acute or chronic pain conditions across eight body sites in a weighted manner. We found that depression risks increased monotonically in parallel with composite pain scores. Moreover, some inflammatory markers, including C-reactive protein, partially mediated the association between composite pain scores and depression risk. Considering the high prevalence of comorbid depression and pain, pain screening may help identify high-risk individuals for depression.

Indexed as

Chronic PainDepressionInflammationPainAdultAgedBiomarkersComorbidityC-Reactive ProteinFemaleGenetic Predisposition to DiseaseHumansMaleMendelian Randomization AnalysisMiddle AgedRisk FactorsBiomarkersC-Reactive Protein

Identifiers

PMID40173244
PMCPMC11964001

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Registered trials

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.