Proteomics reveals the effects of sustained weight loss on the human plasma proteome

Abstract 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 los...

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Main Authors: Philipp E Geyer, Nicolai J Wewer Albrechtsen, Stefka Tyanova, Niklas Grassl, Eva W Iepsen, Julie Lundgren, Sten Madsbad, Jens J Holst, Signe S Torekov, Matthias Mann
Format: Article
Language:English
Published: Springer Nature 2016-12-01
Series:Molecular Systems Biology
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Online Access:https://doi.org/10.15252/msb.20167357
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author Philipp E Geyer
Nicolai J Wewer Albrechtsen
Stefka Tyanova
Niklas Grassl
Eva W Iepsen
Julie Lundgren
Sten Madsbad
Jens J Holst
Signe S Torekov
Matthias Mann
author_facet Philipp E Geyer
Nicolai J Wewer Albrechtsen
Stefka Tyanova
Niklas Grassl
Eva W Iepsen
Julie Lundgren
Sten Madsbad
Jens J Holst
Signe S Torekov
Matthias Mann
author_sort Philipp E Geyer
collection DOAJ
description Abstract 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 < 10−13), 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.
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spelling doaj-art-93b4c610dbfa4eefaa6248fa889651e62025-08-20T03:46:41ZengSpringer NatureMolecular Systems Biology1744-42922016-12-01121211610.15252/msb.20167357Proteomics reveals the effects of sustained weight loss on the human plasma proteomePhilipp E Geyer0Nicolai J Wewer Albrechtsen1Stefka Tyanova2Niklas Grassl3Eva W Iepsen4Julie Lundgren5Sten Madsbad6Jens J Holst7Signe S Torekov8Matthias Mann9Department of Proteomics and Signal Transduction, Max Planck Institute of BiochemistryNNF Center for Protein Research, Faculty of Health Sciences, University of CopenhagenDepartment of Proteomics and Signal Transduction, Max Planck Institute of BiochemistryDepartment of Proteomics and Signal Transduction, Max Planck Institute of BiochemistryDepartment of Biomedical Sciences, Faculty of Health and Medical Sciences, University of CopenhagenDepartment of Biomedical Sciences, Faculty of Health and Medical Sciences, University of CopenhagenNNF Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of CopenhagenDepartment of Biomedical Sciences, Faculty of Health and Medical Sciences, University of CopenhagenDepartment of Biomedical Sciences, Faculty of Health and Medical Sciences, University of CopenhagenDepartment of Proteomics and Signal Transduction, Max Planck Institute of BiochemistryAbstract 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 < 10−13), 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.https://doi.org/10.15252/msb.20167357diabetesmass spectrometrymetabolic syndromeobesityplasma proteome profiling
spellingShingle Philipp E Geyer
Nicolai J Wewer Albrechtsen
Stefka Tyanova
Niklas Grassl
Eva W Iepsen
Julie Lundgren
Sten Madsbad
Jens J Holst
Signe S Torekov
Matthias Mann
Proteomics reveals the effects of sustained weight loss on the human plasma proteome
Molecular Systems Biology
diabetes
mass spectrometry
metabolic syndrome
obesity
plasma proteome profiling
title Proteomics reveals the effects of sustained weight loss on the human plasma proteome
title_full Proteomics reveals the effects of sustained weight loss on the human plasma proteome
title_fullStr Proteomics reveals the effects of sustained weight loss on the human plasma proteome
title_full_unstemmed Proteomics reveals the effects of sustained weight loss on the human plasma proteome
title_short Proteomics reveals the effects of sustained weight loss on the human plasma proteome
title_sort proteomics reveals the effects of sustained weight loss on the human plasma proteome
topic diabetes
mass spectrometry
metabolic syndrome
obesity
plasma proteome profiling
url https://doi.org/10.15252/msb.20167357
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