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

Geyer, P. E., Wewer Albrechtsen, N. J., Tyanova, S., Grassl, N., Iepsen, E. W., Lundgren, J., et al. (2016). Proteomics reveals the effects of sustained weight loss on the human plasma proteome. Molecular Systems Biology, 12(12): 901. doi:10.15252/msb.20167357.

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© 2016 The Authors. Published under the terms of the CC BY 4.0 license
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 Creators:
Geyer, Philipp E.1, Author              
Wewer Albrechtsen, Nicolai J.2, Author              
Tyanova, Stefka1, Author              
Grassl, Niklas1, Author              
Iepsen, Eva W.2, Author
Lundgren, Julie2, Author
Madsbad, Sten2, Author
Holst, Jens J.2, Author
Torekov, Signe S.2, Author
Mann, Matthias1, Author              
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1Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565159              
2External Organizations, ou_persistent22              

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 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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 Dates: 2016-12-22
 Publication Status: Published online
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 Identifiers: DOI: 10.15252/msb.20167357
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Title: Molecular Systems Biology
Source Genre: Journal
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Publ. Info: London : Nature Pub. Group
Pages: - Volume / Issue: 12 (12) Sequence Number: 901 Start / End Page: - Identifier: ISSN: 1744-4292
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000021290