# The influence of metformin treatment on the circulating proteome

**Authors:** Ben Connolly, Laura McCreight, Roderick C. Slieker, Khaled F. Bedair, Louise Donnelly, Juliette A. de Klerk, Joline W.J. Beulens, Petra J.M. Elders, Göran Bergström, Mun-Gwan Hong, Robert W. Koivula, Paul W. Franks, Jochen M. Schwenk, Anders Gummesson, Ewan R. Pearson, Leen M. ‘t Hart, Moustafa Abdalla, Moustafa Abdalla, Jonathan Adam, Jerzy Adamski, Kofi Adragni, Rosa Lundbye L. Allesøe, Kristine H. Allin, Anna A. Artati, Manimozhiyan Arumugam, Naeimeh Atabaki Pasdar, Tania Baltauss, Karina Banasik, Anna Barnett, Patrick Baum, Jimmy D. Bell, Susanna Bianzano, Roberto Bizzotto, Amelie Bonnefond, Caroline Anna A. Brorsson, Andrew A. Brown, Søren Brunak, Louise Cabrelli, Robert Caiazzo, Henna Cederberg, Elizaveta Chabanova, Marc Clos-Garcia, Matilda Dale, David Davtian, Adem Y. Dawed, Federico De Masi, Nathalie de Preville, Koen F. Dekkers, Harshal A. Deshmukh, Christiane Dings, Avirup Dutta, Beate Ehrhardt, Line Engelbrechtsen, Rebeca Eriksen, Yong Fan, Juan Fernandez, Jorge Ferrer, Hugo Fitipaldi, Ian M. Forgie, Annemette Forman, Francesca Frau, Philippe Froguel, Gary Frost, Johann Gassenhuber, Giuseppe (Nick) N. Giordano, Toni Giorgino, Stephen Gough, Harald Grallert, Rolf Grempler, Lenka Groeneveld, Leif Groop, Valborg Gudmundsdóttir, Ramneek Gupta, Mark Haid, Torben Hansen, Tue H. Hansen, Andrew T. Hattersley, Ragna Haussler, Alison J. Heggie, Anita M. Hennige, Anita V. Hill, Reinhard W. Holl, Michelle Hudson, Bernd Jablonka, Ulrik Plesner Jacobsen, Christopher Jennison, Joachim Johansen, Angus G. Jones, Tugce Karaderi, Jane Kaye, Gwen Kennedy, Maria Klintenberg, Robert W. Koivula, Tarja Kokkola, Anitra D. Koopman, Azra Kurbasic, Teemu Kuulasmaa, Markku Laakso, Thorsten Lehr, Heather Loftus, Agnete Troen T. Lundgaard, Liwei Lyu, Anubha Mahajan, Andrea Mari, Gianluca Mazzoni, Mark I. McCarthy, Timothy J. McDonald, Donna McEvoy, Nicky McRobert, Ian McVittie, Miranda Mourby, Petra Musholt, Pascal Mutie, Rachel Nice, Claudia Nicolay, Giel Nijpels, Birgitte Nilsson, Colin N. Palmer, Francois Pattou, Imre Pavo, Helle K. Pedersen, Oluf Pedersen, Mandy H. Perry, Hugo Pomares-Millan, Cornelia P. Prehn, Anna Ramisch, Simon Rasmussen, Violeta Raverdi, Martin Ridderstråle, Neil Robertson, Marianne Rodriquez, Hartmut Ruetten, Femke Rutters, Peter Sackett, Nina Scherer, Nisha Shah, Sapna Sharma, Iryna Sihinevich, Nadja B. Sondertoft, Hans-Henrik Staerfeldt, Birgit Steckel-Hamann, Harriet Teare, Cecilia Engel E. Thomas, Elizabeth Louise L. Thomas, Melissa K. Thomas, Henrik S. Thomsen, Barbara Thorand, Claire E. Thorne, Joachim Tillner, Konstantinos D. Tsirigos, Andrea Tura, Mathias Uhlen, Sabine van Oort, Jagadish Vangipurapu, Helene Verkindt, Henrik Vestergaard, Ana Viñuela, Josef K. Vogt, Peter W. Wad Sackett, Mark Walker, Agata Wesolowska-Andersen, Brandon Whitcher, Margaret W. White, Alexander Efanov, Alexander Efanov, Giuseppe N. Giordano, Gerard A. Bouland, Frédéric Burdet, Iulian Dragan, Andreas Festa, Michael K. Hansen, Dmitry Kuznetsov, Florence Mehl, Diana Marek, Imre Pavo, Kevin Duffin, Samreen K. Syed, Janice L. Shaw, Over Cabrera, Timothy J. Pullen, Bernard Thorens, Mark Ibberson, Guy A. Rutter

PMC · DOI: 10.1016/j.ebiom.2025.105859 · eBioMedicine · 2025-07-19

## TL;DR

This study identifies 23 proteins affected by metformin, a widely used drug, showing the need to consider its impact in proteomic research and clinical settings.

## Contribution

The study provides the first comprehensive analysis of metformin's influence on the circulating proteome using multiple clinical trial datasets.

## Key findings

- 23 protein analytes were robustly associated with metformin exposure across discovery and replication cohorts.
- 11 protein-metformin associations replicated in both replication sets and platforms.
- Gene-set enrichment analysis linked metformin exposure to intestinal-associated proteins.

## Abstract

Metformin is one of the most used drugs worldwide. Given the increasing use of proteomics in trials, bioresources, and clinics, it is crucial to understand the influence of metformin on the levels of the circulating proteome.

We analysed a combined longitudinal proteomics dataset from the IMPOCT, RAMP and S3WP-T2D clinical trials in 98 participants before and after metformin exposure. This discovery analysis contained 372 proteins measured by proximity extension assays (Olink). We followed up experiment–wise statistically significant findings in two cross-sectional cohorts of people with type 2 diabetes comparing metformin treated and untreated individuals: IMI-DIRECT (784 participants, 372 proteins, Olink) and IMI-RHAPSODY (1175 participants, 1195 proteins, SomaLogic).

Overall, 23 protein analytes were robustly associated with exposure to metformin in the discovery and replication. This includes 11 protein-metformin associations that replicated in both replication sets and platforms (REG4, GDF15, REG1A, t-PA, TFF3, CDH5, CNTN1, OMD, NOTCH3, THBS4 and CD93), with the remaining 12 protein-metformin associations replicated using the Olink platform (EPCAM, SPINK1, SAA-4, COMP, ITGB2, ADGRG2, FAM3C, MERTK, COL1A1, HAOX1, VCAN, TIMD4) but not measured on the SomaLogic platform. Gene-set enrichment analysis revealed that the metformin exposure was associated with intestinal associated proteins.

These data highlight the need to account for exposure to metformin, and potentially other drugs, in proteomic studies and where protein biomarkers are used for clinical care.

10.13039/501100010767Innovative Medicines Initiative Joint Undertaking 2, under grant agreement no. 115881 (RHAPSODY) and the 10.13039/501100010767Innovative Medicines Initiative Joint Undertaking under grant agreement no. 115317 (DIRECT), resources of which are composed of financial contribution from the European Union's Seventh Framework Programme (FP7/2007-2013) and 10.13039/100013322EFPIA companies in kind contribution as well as the Swiss State Secretariat for Education Research' and Innovation (SERI), under contract no. 16.0097 (RHAPSODY).

## Linked entities

- **Proteins:** REG4 (regenerating family member 4), GDF15 (growth differentiation factor 15), REG1A (regenerating family member 1 alpha), PLAT (plasminogen activator, tissue type), TFF3 (trefoil factor 3), CDH5 (cadherin 5), CNTN1 (contactin 1), OMD (osteomodulin), NOTCH3 (notch receptor 3), THBS4 (thrombospondin 4), CD93 (CD93 molecule), EPCAM (epithelial cell adhesion molecule), SPINK1 (serine peptidase inhibitor Kazal type 1), SAA4 (serum amyloid A4, constitutive), COMP (cartilage oligomeric matrix protein), ITGB2 (integrin subunit beta 2), ADGRG2 (adhesion G protein-coupled receptor G2), FAM3C (FAM3 metabolism regulating signaling molecule C), MERTK (MER proto-oncogene, tyrosine kinase), COL1A1 (collagen type I alpha 1 chain), HAO1 (hydroxyacid oxidase 1), VCAN (versican), TIMD4 (T cell immunoglobulin and mucin domain containing 4)
- **Chemicals:** metformin (PubChem CID 4091)
- **Diseases:** type 2 diabetes (MONDO:0005148)

## Full-text entities

- **Genes:** MERTK (MER proto-oncogene, tyrosine kinase) [NCBI Gene 10461] {aka MER, RP38, Tyro12, c-Eyk, c-mer}, PLAT (plasminogen activator, tissue type) [NCBI Gene 5327] {aka T-PA, TPA}, COL1A1 (collagen type I alpha 1 chain) [NCBI Gene 1277] {aka CAFYD, EDSARTH1, EDSC, OI1, OI2, OI3}, REG4 (regenerating family member 4) [NCBI Gene 83998] {aka GISP, REG-IV, RELP}, CNTN1 (contactin 1) [NCBI Gene 1272] {aka CMYO12, CMYP12, F3, GP135, MYPCN}, SAA4 (serum amyloid A4, constitutive) [NCBI Gene 6291] {aka C-SAA, CSAA}, CD93 (CD93 molecule) [NCBI Gene 22918] {aka C1QR1, C1qR(P), C1qRP, CDw93, ECSM3, MXRA4}, REG1A (regenerating family member 1 alpha) [NCBI Gene 5967] {aka ICRF, P19, PSP, PSPS, PSPS1, PTP}, ITGB2 (integrin subunit beta 2) [NCBI Gene 3689] {aka CD18, LAD, LCAMB, LFA-1, MAC-1, MF17}, NOTCH3 (notch receptor 3) [NCBI Gene 4854] {aka CADASIL, CADASIL1, CARASIL1, CASIL, FPLD1, IMF2}, EPCAM (epithelial cell adhesion molecule) [NCBI Gene 4072] {aka Ber-Ep4, BerEp4, DIAR5, EGP-2, EGP314, EGP40}, THBS4 (thrombospondin 4) [NCBI Gene 7060] {aka TSP-4, TSP4}, SPINK1 (serine peptidase inhibitor Kazal type 1) [NCBI Gene 6690] {aka PCTT, PSTI, Spink3, TATI, TCP}, TIMD4 (T cell immunoglobulin and mucin domain containing 4) [NCBI Gene 91937] {aka SMUCKLER, TIM4}, ADGRG2 (adhesion G protein-coupled receptor G2) [NCBI Gene 10149] {aka CBAVDX, EDDM6, GPR64, HE6, TM7LN2}, FAM3C (FAM3 metabolism regulating signaling molecule C) [NCBI Gene 10447] {aka GS3786, ILEI}, OMD (osteomodulin) [NCBI Gene 4958] {aka OSAD, SLRR2C}, HAO1 (hydroxyacid oxidase 1) [NCBI Gene 54363] {aka GO, GOX, GOX1, HAOX1}, GDF15 (growth differentiation factor 15) [NCBI Gene 9518] {aka GDF-15, HG, MIC-1, MIC1, NAG-1, PDF}, TFF3 (trefoil factor 3) [NCBI Gene 7033] {aka ITF, P1B, TFI}, VCAN (versican) [NCBI Gene 1462] {aka CSPG2, ERVR, GHAP, PG-M, WGN, WGN1}, CDH5 (cadherin 5) [NCBI Gene 1003] {aka 7B4, CD144}
- **Diseases:** T2D (MESH:D003924)
- **Chemicals:** Metformin (MESH:D008687)

## Full text

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## Figures

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## References

19 references — full list in the complete paper: https://tomesphere.com/paper/PMC12301841/full.md

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Source: https://tomesphere.com/paper/PMC12301841