Dataset Information

Plasma Proteome Profiling Reveals the Effects of Weight Loss on the Apolipoprotein Family and Systemic Inflammation Status

ABSTRACT: Sustained weight loss is the preferred intervention in a wide range of metabolic conditions, but the effects on an individual´s health state remain ill-defined and controversial. Here, we investigate the plasma proteomes of a cohort of 43 obese individuals that had undergone eight weeks of weight loss (average of 12%) followed by a year of weight maintenance. Using plasma proteome profiling, a mass spectrometry-based approach, we measured 1294 plasma samples to examine dynamic changes of hundreds of human plasma proteins, including the entire apolipoprotein family. Longitudinal monitoring of the cohort revealed individual-specific protein levels and functional connected proteins with correlated regulation over time. The wide-ranging effect of losing weight on the plasma proteome was reflected in 93 significantly affected proteins. The adipocyte secreted SERPINF1 and the apolipoprotein APOF1 were most significantly down and up regulated (p<10**13), although their fold-change was modest (-16% and +37%), respectively. Overall, markers of inflammation went down in nearly all study participants (39 of 42), however, there were diverse patterns of inflammation marker responses, allowing individual-specific interpretation of the effects of weight loss. Plasma proteome profiling can be used broadly to evaluate and monitor intervention in metabolic diseases.

OTHER RELATED OMICS DATASETS IN: MSV000080596

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

SUBMITTER: Mario Oroshi

LAB HEAD: Matthias Mann

PROVIDER: PXD004242 | Pride | 2016-12-24

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	20150618_QEp1_LC7_PhGe_SA_Plate1B_02_1.raw	Raw
	20150618_QEp1_LC7_PhGe_SA_Plate1B_02_2.raw	Raw
	20150618_QEp1_LC7_PhGe_SA_Plate1B_02_3.raw	Raw
	20150618_QEp1_LC7_PhGe_SA_Plate1B_02_4.raw	Raw
	20150618_QEp1_LC7_PhGe_SA_Plate1B_02_5.raw	Raw

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Publications

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

Geyer Philipp E PE Wewer Albrechtsen Nicolai J NJ Tyanova Stefka S Grassl Niklas N Iepsen Eva W EW Lundgren Julie J Madsbad Sten S Holst Jens J JJ Torekov Signe S SS Mann Matthias M

Molecular systems biology 20161222 12

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 le ...[more]

PMID: 28007936

Similar Datasets

Project description:Objective: This work aimed at identifying and characterizing differences in subcutaneous adipose tissue (SAT) gene expression patterns between subjects succeeding weight control against subjects regaining weight 6 months after a low calorie diet program. Methods: Weight-reduced obese subjects from 8 European countries were randomized into 4 diets differing in protein and glycemic index. In addition to the anthropometric and plasma parameters, SAT biopsies were taken at the beginning (CID2) and the end (CID3) of the weight maintenance intervention. Pan-genomic cDNA microarrays were used to define SAT gene expression profiles at both CID2 and CID3 of 22 subjects succeeding weight maintenance (successful subjects; mean weight change= -2.6 ± 1.2 kg) and 22 subjects regaining weight (unsuccessful subjects; mean weight change= 3.9 ± 1.3 kg) among the 4 dietary arms. Results: Differences in SAT gene expression patterns between successful and unsuccessful groups were mainly due to weight variations rather to differences in diet macronutrient composition. An ANCOVA analysis with total energy intake at CID3 as covariant led us to the definition of 1339 differential genes. Functional analysis of differential genes showed that cellular growth and proliferation, inflammation, cell death, cancer, cellular function and maintenance were the main biological processes involving these differential genes. Overall design: SAT transcriptome was defined at the beginning (CID2) and at the end (CID3) of the dietary intervention program using a common reference design: Cyanine-5 dye was incorporated into all SAT samples, while a reference RNA pool made of the mix of commercial human liver, adipose tissue, and skeletal muscle RNA was labeled with cyanine-3 dye. Samples were hybridized to Agilent 44K whole human genome microarrays. Evolution in gene expression patterns after dietary intervention was tested in terms of the ratio after/before dietary intervention (CID3/CID2) ratio.