# Proteomics signature of moderate-to-vigorous physical activity and risk of multimorbidity of cancer and cardiometabolic diseases

**Authors:** Michael J. Stein, Hansjörg Baurecht, Patricia Bohmann, Reynalda Cordova, Pietro Ferrari, Béatrice Fervers, Christine M. Friedenreich, Marc J. Gunter, Laia Peruchet-Noray, Diana Wu, Charlotte Onland-Moret, Maria-José Sánchez, María-Dolores Chirlaque, Michael F. Leitzmann, Vivian Viallon, Heinz Freisling

PMC · DOI: 10.1038/s43856-026-01514-9 · 2026-03-13

## TL;DR

This study finds blood proteins linked to physical activity that are associated with lower risks of cancer, heart disease, diabetes, and having multiple chronic diseases.

## Contribution

Identifies a proteomic signature of physical activity and links it to reduced disease risks through specific proteins.

## Key findings

- 220 proteins are associated with moderate-to-vigorous physical activity after multiple testing corrections.
- Proteins related to metabolism and immune function are linked to disease risks and physical activity.
- The proteomic signature score is inversely associated with cancer and T2D risks but not multimorbidity.

## Abstract

Moderate-to-vigorous physical activity (MVPA) is inversely associated with risks of cancer, cardiovascular diseases (CVD), type 2 diabetes (T2D), and their co-occurrence, defined as multimorbidity; however, the underlying biological pathways remain unclear.

In 33,806 UK Biobank participants with 2911 measured blood proteins, a proteomic signature of MVPA was derived with linear and LASSO regressions. Multivariable Cox models, adjusted for MVPA, estimated prospective associations with cancer, CVD, T2D, and multimorbidity.

We show that after multiple testing corrections, 220 proteins are retained in the MVPA signature. Proteins related to food intake, metabolism, and cell growth (e.g., LEP, MSTN) are inversely associated, while those involved in immune cell migration and musculoskeletal integrity (e.g., integrins, COMP) are positively associated with MVPA. Several proteins positively associated with MVPA are inversely associated with disease risk (e.g., integrins, CLEC4A for cancer; LPL, LEP for T2D), while proteins negatively associated with MVPA are positively associated with disease risk (e.g., CD38, TGFA for CVD). The proteomic signature score is inversely associated with cancer risk (hazard ratio per interquartile range: 0.87; 95% confidence interval: 0.78, 0.96) and T2D (0.66; 0.60, 0.72). For multimorbidity, proteins inversely related to MVPA align with expected risk patterns (e.g., GGT1, HR: 1.32; 95% CI: 1.12, 1.57), but the proteomic signature score is not associated.

This study identifies several proteins associated with MVPA that are also associated with cancer, CVD, T2D, and the multimorbidity of these conditions. Further studies investigating the causal nature of these associations are welcome.

Many people develop more than one long-term disease, such as cancer, heart disease, or diabetes, a condition known as multimorbidity. While regular physical activity is known to reduce the risk of these diseases, the underlying biological pathways remain poorly understood. In this study, we analyzed thousands of proteins in the blood of over 33,000 adults participating in UK Biobank, a large health study, to identify proteins linked with higher levels of physical activity. We discovered several proteins that were either more or less common in active individuals – and these same proteins were also associated with a lower risk of developing cancer, heart disease, diabetes, and multimorbidity. These findings suggest that physically activity may help prevent multiple diseases by influencing proteins in the blood. This opens new possibilities for research into how physical activity supports long-term health.

Stein et al. identify circulating blood proteins linked to regular moderate-to-vigorous physical activity in over 33,000 UK Biobank participants. Many of these proteins are associated with lower risk of cancer, cardiovascular disease, type 2 diabetes, and multimorbidity, highlighting molecular links between activity and health.

## Linked entities

- **Genes:** LEP (leptin) [NCBI Gene 3952], MSTN (myostatin) [NCBI Gene 2660], CLEC4A (C-type lectin domain family 4 member A) [NCBI Gene 50856], GGT1 (gamma-glutamyltransferase 1) [NCBI Gene 2678], CD38 (CD38 molecule) [NCBI Gene 952], TGFA (transforming growth factor alpha) [NCBI Gene 7039], LPL (lipoprotein lipase) [NCBI Gene 4023]
- **Proteins:** ITGB1 (integrin subunit beta 1), COMP (cartilage oligomeric matrix protein), CLEC4A (C-type lectin domain family 4 member A), LPL (lipoprotein lipase), LEP (leptin), CD38 (CD38 molecule), TGFA (transforming growth factor alpha), GGT1 (gamma-glutamyltransferase 1)
- **Diseases:** cancer (MONDO:0004992), type 2 diabetes (MONDO:0005148)
- **Species:** Homo sapiens (taxon 9606)

## Full-text entities

- **Genes:** GGT1 (gamma-glutamyltransferase 1) [NCBI Gene 2678] {aka CD224, D22S672, D22S732, GGT, GGT 1, GGTD}, ERBB2 (erb-b2 receptor tyrosine kinase 2) [NCBI Gene 2064] {aka CD340, HER-2, HER-2/neu, HER2, MLN 19, MLN-19}, CDH5 (cadherin 5) [NCBI Gene 1003] {aka 7B4, CD144}, IGFBP3 (insulin like growth factor binding protein 3) [NCBI Gene 3486] {aka BP-53, IBP-3, IBP3, IGFBP-3}, CD163 (CD163 molecule) [NCBI Gene 9332] {aka M130, MM130, SCARI1}, TGFBR2 (transforming growth factor beta receptor 2) [NCBI Gene 7048] {aka AAT3, FAA3, LDS1B, LDS2, LDS2B, MFS2}, TGFA (transforming growth factor alpha) [NCBI Gene 7039] {aka TFGA}, PTH (parathyroid hormone) [NCBI Gene 5741] {aka FIH1, PTH1}, ITGB2 (integrin subunit beta 2) [NCBI Gene 3689] {aka CD18, LAD, LCAMB, LFA-1, MAC-1, MF17}, LEP (leptin) [NCBI Gene 3952] {aka LEPD, OB, OBS}, TNFRSF10A (TNF receptor superfamily member 10a) [NCBI Gene 8797] {aka APO2, CD261, DR4, TRAILR-1, TRAILR1}, CILP (cartilage intermediate layer protein) [NCBI Gene 8483] {aka CILP-1, CILP1, HsT18872}, ALPP (alkaline phosphatase, placental) [NCBI Gene 250] {aka ALP, PALP, PLAP, PLAP-1}, CD209 (CD209 molecule) [NCBI Gene 30835] {aka CDSIGN, CLEC4L, DC-SIGN, DC-SIGN1, hDC-SIGN}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, CHRDL2 (chordin like 2) [NCBI Gene 25884] {aka BNF1, CHL2}, DMP1 (dentin matrix acidic phosphoprotein 1) [NCBI Gene 1758] {aka ARHP, ARHR, DMP-1}, ITGA11 (integrin subunit alpha 11) [NCBI Gene 22801] {aka HsT18964}, MXRA8 (matrix remodeling associated 8) [NCBI Gene 54587] {aka ASP3}, ALDH5A1 (aldehyde dehydrogenase 5 family member A1) [NCBI Gene 7915] {aka SSADH, SSDH}, TNFRSF12A (TNF receptor superfamily member 12A) [NCBI Gene 51330] {aka CD266, FN14, TWEAKR}, PI3 (peptidase inhibitor 3) [NCBI Gene 5266] {aka ESI, SKALP, WAP3, WFDC14, cementoin}, CLEC4A (C-type lectin domain family 4 member A) [NCBI Gene 50856] {aka CD367, CLECSF6, DCIR, DDB27, HDCGC13P, LLIR}, EDA2R (ectodysplasin A2 receptor) [NCBI Gene 60401] {aka EDA-A2R, EDAA2R, TNFRSF27, XEDAR}, MYOM3 (myomesin 3) [NCBI Gene 127294], MSTN (myostatin) [NCBI Gene 2660] {aka GDF8, MSLHP}, ITGAV (integrin subunit alpha V) [NCBI Gene 3685] {aka CD51, IDNDC, MSK8, VNRA, VTNR}, ITGB5 (integrin subunit beta 5) [NCBI Gene 3693], IGFBP1 (insulin like growth factor binding protein 1) [NCBI Gene 3484] {aka AFBP, IBP1, IGF-BP25, PP12, hIGFBP-1}, CD34 (CD34 molecule) [NCBI Gene 947], LPL (lipoprotein lipase) [NCBI Gene 4023] {aka HDLCQ11, LIPD}, CD38 (CD38 molecule) [NCBI Gene 952] {aka ADPRC 1, ADPRC1, cADPR1}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, ITGA2 (integrin subunit alpha 2) [NCBI Gene 3673] {aka BR, CD49B, FMAIT3, GPIa, HPA-5, VLA-2}, ITGAM (integrin subunit alpha M) [NCBI Gene 3684] {aka CD11B, CR3A, HNA-4, MAC-1, MAC1A, MO1A}
- **Diseases:** metastasis (MESH:D009362), heart disease (MESH:D006331), gastrointestinal cancers (MESH:D005770), Obesity (MESH:D009765), T2D (MESH:D003924), death (MESH:D003643), tumorigenesis (MESH:D063646), stroke (MESH:D020521), adenocarcinoma (MESH:D000230), peripheral vascular diseases (MESH:D016491), atherosclerosis (MESH:D050197), diabetes (MESH:D003920), glucose intolerance (MESH:D018149), CVD (MESH:D002318), muscle atrophy (MESH:D009133), impaired glucose metabolism (MESH:D044882), chronic (MESH:D002908), Cancer (MESH:D009369), arterial fibrillation (MESH:D014693), myocardial infarction (MESH:D009203), cerebrovascular diseases (MESH:D002561), dementia (MESH:D003704), angina pectoris (MESH:D000787), ischemic heart diseases (MESH:D017202), cardiac remodeling (MESH:D020257), chronic inflammation (MESH:D007249), cardiac arrhythmias (MESH:D001145), heart failure (MESH:D006333), breast and/or bowel cancer (MESH:D001943), cardiometabolic diseases (MESH:D024821), renal cell carcinoma (MESH:D002292)
- **Chemicals:** PC (MESH:C053518), lipid (MESH:D008055), alcohol (MESH:D000438), glucose (MESH:D005947)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13009281/full.md

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Source: https://tomesphere.com/paper/PMC13009281