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Proteomics reveals the effects of sustained weight loss on the human plasma proteome.
- Source :
-
Molecular systems biology [Mol Syst Biol] 2016 Dec 22; Vol. 12 (12), pp. 901. Date of Electronic Publication: 2016 Dec 22. - Publication Year :
- 2016
-
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 <superscript>-13</superscript> ), 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.<br /> (© 2016 The Authors. Published under the terms of the CC BY 4.0 license.)
- Subjects :
- Adult
Apolipoproteins blood
Caloric Restriction
Eye Proteins blood
Gene Expression Regulation
Humans
Insulin Resistance
Longitudinal Studies
Middle Aged
Nerve Growth Factors blood
Obesity metabolism
Plasma metabolism
Serpins blood
Young Adult
Mass Spectrometry methods
Obesity diet therapy
Proteomics methods
Weight Loss
Subjects
Details
- Language :
- English
- ISSN :
- 1744-4292
- Volume :
- 12
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- Molecular systems biology
- Publication Type :
- Academic Journal
- Accession number :
- 28007936
- Full Text :
- https://doi.org/10.15252/msb.20167357