Evidence map›Paper›PMID 40832392›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Plasma proteomic signatures of social support and their association with cardiovascular disease and mortality.

Pei Qin, Jessica Gong, Andrew Steptoe, Daisy Fancourt

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Pei QinDepartment of Behavioural Science and Health, Institute of Epidemiology & Health Care, University College London, London, UK.
Jessica GongDepartment of Epidemiology & Public Health, Institute of Epidemiology & Health Care, University College London, London, UK.
Andrew SteptoeDepartment of Behavioural Science and Health, Institute of Epidemiology & Health Care, University College London, London, UK.
Daisy FancourtDepartment of Behavioural Science and Health, Institute of Epidemiology & Health Care, University College London, London, UK.ORCID 0000-0002-6952-334X

Funding

Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
NIA NIH HHS R01 AG017644
6 · The paper itself

Abstract

Background: Social support has been related to cardiovascular disease (CVD) incidence and mortality in longitudinal cohort analyses, but the biological pathways underpinning this remain underexplored. We explored the protein signatures of social support amongst older adults and the mediating effect of proteins in the association between social support and CVD and mortality. Methods: Data from 3,141 adults over the age of 50 in the English Longitudinal Study of Ageing who had plasma proteome data were analysed, with CVD and mortality outcomes followed up for 16 years following through Hospital Episode Statistics and the National Health Service Central Registry. Linear and Cox regression analyses were used to identify proteins associated with social support, CVD and mortality. Mediation analysis was then performed on the identified proteins to examine their role as a potential mediator between social support and CVD and mortality risk. Results: Over a median of 15.8-year follow-up, 889 participants have died, and 627 developed CVD. Of 276 proteins measured, greater social support was associated with lower levels of 13 proteins (EFNA4, SKR3, TNFRSF10A, TNFRSF11A, TRAIL-R2, Gal-9, FGF-23, REN, VSIG2, AMBP, MMP12, ASGR1, PSG1) and higher TN-R levels, after adjusting for baseline socioeconomic confounders. Of these 13 proteins, six proteins (TNFRSF10A, TNFRSF11A, FGF-23, VSIG2, AMBP, and ASGR1) were significantly associated after full adjustments. We also identified 49 protein-CVD and 70 protein-mortality associations after minimal adjustments, including 11 and 14 proteins simultaneously associated with social support. In the mediation analysis, each protein showed significant indirect effects: all the significant proteins together mediated about 20.9% and 26.4 % of the associations for CVD and mortality, respectively. The main enriched biological pathways involved death receptor activity and carbohydrate binding. Conclusions: Social support was related to proteomic signatures and these proteins mediated the association between social support and CVD and mortality risk, independently and cumulatively. These findings deepen our understanding of the intricate connections between relationship quality, proteins, and CVD and mortality development.

Indexed as

cardiovascular diseasemortalityproteomicSocial support

Identifiers

PMID40832392
PMCPMC12363696

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.