Evidence map›Paper›PMID 40385387›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Human Plasma Proteomics Links Modifiable Lifestyle Exposome to Disease Risk.

Shakson Isaac, Randall J Ellis, Alexander Gusev, Venkatesh L Murthy, Miriam S Udler, Chirag J Patel

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

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.

Shakson IsaacDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA. 02215.ORCID 0000-0001-5631-3469
Randall J EllisDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA. 02215.ORCID 0009-0007-3676-8491
Alexander GusevDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Venkatesh L MurthyDepartment of Internal Medicine and Frankel Cardiovascular Center, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-7901-1321
Miriam S UdlerDepartment of Medicine, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0003-3824-9162
Chirag J PatelDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA. 02215.ORCID 0000-0002-8756-8525

Funding

NEXUS: Network for Exposomics in the U.S.U24ES036819 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Rima Habre, GARY W MILLER · 2024 to 2026
$4.6M
Data science tools to identify robust exposure-phenotype associations for precision medicineR01ES032470 · NIEHS · HARVARD MEDICAL SCHOOL · PI MANRAI, ARJUN KUMAR, PATEL, CHIRAG J. · 2021 to 2025
$3.5M
Cataloging multi-ancestry 'omic readouts of the environmental and genetic determinants of type 2 diabetesR01DK137993 · NIDDK · HARVARD MEDICAL SCHOOL · PI ARJUN KUMAR MANRAI, Josep Maria Mercader · 2024 to 2026
$2.0M
NIDDK NIH HHS R01 DK137993NIEHS NIH HHS R01 ES032470NIEHS NIH HHS U24 ES036819
6 · The paper itself

Abstract

Environmental exposures influence disease risk, yet their underlying biological mechanisms remain poorly understood. We present the Human Exposomic Architecture of the Proteome (HEAP), a framework and resource integrating genetic, exposomic, and proteomic data to uncover how lifestyle influences disease through plasma proteins. Applying HEAP to 2,686 proteins in 53,014 UK Biobank participants, we identified over 11,000 exposure-protein associations across 135 lifestyle exposures. Exposures explained a substantial portion of proteomic variation, with 9% of proteins more influenced by lifestyle than genetics. Mediation analyses across 270 diseases revealed proteins linking exposures to disease risk; for instance, IGFBP1 and IGFBP2 mediated the effects of exercise and diet on type 2 diabetes. These findings were supported by concordant proteomic shifts in interventional studies of exercise and GLP1 agonists, underscoring therapeutic relevance. HEAP provides a resource for advancing disease prevention and precision medicine by revealing mechanisms through which lifestyle shapes human health.

Indexed as

biobankdisease associationexposomegene-by-environmentGLP1interventionslifestyle factorsplasma proteomicsprecision medicine

Identifiers

PMID40385387
PMCPMC12083611

What Socratic 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 Socratic graph.