Proteomics Reveals the Effects of Sustained Weight Loss on the Human Plasma Proteome
Overview
Authors
Affiliations
Sustained weight loss is a preferred intervention in a wide range of metabolic conditions, but the effects on an individual's health state remain ill-defined. Here, we investigate the plasma proteomes of a cohort of 43 obese individuals that had undergone 8 weeks of 12% body weight loss followed by a year of weight maintenance. Using mass spectrometry-based plasma proteome profiling, we measured 1,294 plasma proteomes. Longitudinal monitoring of the cohort revealed individual-specific protein levels with wide-ranging effects of losing weight on the plasma proteome reflected in 93 significantly affected proteins. The adipocyte-secreted SERPINF1 and apolipoprotein APOF1 were most significantly regulated with fold changes of -16% and +37%, respectively (P < 10), and the entire apolipoprotein family showed characteristic differential regulation. Clinical laboratory parameters are reflected in the plasma proteome, and eight plasma proteins correlated better with insulin resistance than the known marker adiponectin. Nearly all study participants benefited from weight loss regarding a ten-protein inflammation panel defined from the proteomics data. We conclude that plasma proteome profiling broadly evaluates and monitors intervention in metabolic diseases.
Changes in rat plasma proteomes during the first week after birth.
Wei L, Guo Z, Wei J, Zhou Y, Sun W, Han C Front Vet Sci. 2025; 12:1440716.
PMID: 40070918 PMC: 11894578. DOI: 10.3389/fvets.2025.1440716.
Proteomic associations with fluctuation and long-term changes in BMI: A 40-year follow-up study.
Obeso A, Drouard G, Palviainen T, Wang X, Ollikainen M, Silventoinen K medRxiv. 2025; .
PMID: 39974069 PMC: 11838978. DOI: 10.1101/2025.01.28.25321236.
Plasma proteome variation and its genetic determinants in children and adolescents.
Niu L, Stinson S, Holm L, Lund M, Fonvig C, Cobuccio L Nat Genet. 2025; 57(3):635-646.
PMID: 39972214 PMC: 11906355. DOI: 10.1038/s41588-025-02089-2.
Ma H, Cai X, Zhang D, Zhu Q, Wu T, Aierken X Am J Transl Res. 2025; 17(1):585-602.
PMID: 39959243 PMC: 11826199. DOI: 10.62347/QSRI6160.
ProHap enables human proteomic database generation accounting for population diversity.
Vasicek J, Kuznetsova K, Skiadopoulou D, Unger L, Chera S, Ghila L Nat Methods. 2024; 22(2):273-277.
PMID: 39653819 DOI: 10.1038/s41592-024-02506-0.