Evidence map›Paper›PMID 38782943›Full record

ArticleNature communications2024

The brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depression.

Rongtao Jiang, Stephanie Noble, Matthew Rosenblatt, Wei Dai, Jean Ye, Shu Liu, Shile Qi, Vince D Calhoun, Jing Sui, Dustin Scheinost

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 2 pooled it
–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

58 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

10 authors.

Rongtao JiangDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06510, USA. rongtao.jiang@yale.edu.ORCID http://orcid.org/0000-0003-4657-0079
Stephanie NobleDepartment of Psychology, Northeastern University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-4804-5553
Matthew RosenblattDepartment of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA.ORCID http://orcid.org/0000-0002-3894-6198
Wei DaiDepartment of Biostatistics, Yale University, New Haven, CT, 06520, USA.ORCID http://orcid.org/0000-0002-1921-4100
Jean YeInterdepartmental Neuroscience Program, Yale University, New Haven, CT, 06520, USA.ORCID http://orcid.org/0000-0001-7928-324X
Shu LiuDepartment of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Shile QiTri-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 http://orcid.org/0000-0003-3486-2277
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. jsui@bnu.edu.cn.ORCID http://orcid.org/0000-0001-6837-5966
Dustin ScheinostDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06510, USA.ORCID http://orcid.org/0000-0002-6301-1167

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Male/Female differences in psychosis and mood disorders:Dynamic imaging-genomic models for characterizing and predicting psychosis and mood dR01MH118695 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2019 to 2023
$3.8M
Data-driven approaches to identify biomarkers from multimodal imaging big dataR01MH117107 · NIMH · GEORGIA STATE UNIVERSITY · PI CALHOUN, VINCE D · 2019 to 2022
$1.6M
Empirical Power Analysis Tool for fMRIR00MH130894 · NIMH · NORTHEASTERN UNIVERSITY · PI NOBLE, STEPHANIE MARIE · 2023 to 2025
$678k
NCATS NIH HHS UL1 TR001863NIMH NIH HHS R00 MH130894NIMH NIH HHS R01 MH117107NIMH NIH HHS R01 MH118695
6 · The paper itself

Abstract

Cross-sectional studies have demonstrated strong associations between physical frailty and depression. However, the evidence from prospective studies is limited. Here, we analyze data of 352,277 participants from UK Biobank with 12.25-year follow-up. Compared with non-frail individuals, pre-frail and frail individuals have increased risk for incident depression independent of many putative confounds. Altogether, pre-frail and frail individuals account for 20.58% and 13.16% of depression cases by population attributable fraction analyses. Higher risks are observed in males and individuals younger than 65 years than their counterparts. Mendelian randomization analyses support a potential causal effect of frailty on depression. Associations are also observed between inflammatory markers, brain volumes, and incident depression. Moreover, these regional brain volumes and three inflammatory markers-C-reactive protein, neutrophils, and leukocytes-significantly mediate associations between frailty and depression. Given the scarcity of curative treatment for depression and the high disease burden, identifying potential modifiable risk factors of depression, such as frailty, is needed.

Indexed as

BrainDepressionFrailtyInflammationMendelian Randomization AnalysisAdultAgedBiomarkersC-Reactive ProteinCross-Sectional StudiesFemaleHumansMaleMiddle AgedNeutrophilsProspective StudiesBiomarkersC-Reactive Protein

Identifiers

PMID38782943
PMCPMC11116547

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.