PXD014128

PXD014128 is an original dataset announced via ProteomeXchange.

Title	High fat diet response metaproteomics
Description	This dataset contains proteomic data from mice with high or low weight gain in response to a high fat diet. Both host and microbial proteins are present. In the supplemental, there are also tables and supplementary files that can be used for replicating the bioinformatic analysis. Abstract: Consumption of refined high-fat, low-fiber diets promotes development of obesity and its associated consequences. While genetics play an important role in dictating susceptibility to such obesogenic diets, mice with nearly uniform genetics exhibit marked heterogeneity in their extent of obesity in response to such diets. This suggests non-genetic determinants play a role in diet-induced obesity. Hence, we sought to identify parameters that predict, and/or correlate with, development of obesity in response to an obesogenic diet. We assayed behavior, metabolic parameters, inflammatory markers/cytokines, microbiota composition, and the fecal metaproteome, in a cohort of mice (n=50) prior to, and the 8 weeks following, administration of an obesogenic high-fat low-fiber diet. Neither behavioral testing nor quantitation of inflammatory markers broadly predicted severity of diet-induced obesity. Although, the small subset of mice that exhibited basal elevations in serum IL-6 (n=5) were among the more obese mice in the cohort. While fecal microbiota composition changed markedly in response to the obesogenic diet, it lacked the ability to predict which mice were relative prone or resistant to obesity. In contrast, fecal metaproteome analysis revealed functional and taxonomic differences among the proteins associated with proneness to obesity. Targeted interrogation of microbiota composition data successfully validated the taxonomic differences seen in the metaproteome. While future work will be needed to determine the breadth of applicability of these associations to other cohorts of animals and humans, this study nonetheless highlights the potential power of gut microbial proteins to predict and perhaps impact development of obesity.
HostingRepository	MassIVE
AnnounceDate	2019-07-02
AnnouncementXML	Submission_2019-07-02_10:10:53.xml
DigitalObjectIdentifier
ReviewLevel	Non peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Supported dataset by repository
PrimarySubmitter	Robert Mills
SpeciesList	scientific name: Bacteria; common name: eubacteria; NCBI TaxID: 2; scientific name: Mus musculus; common name: house mouse; NCBI TaxID: 10090;
ModificationList	TMT6plex; Label:13C(1)2H(3)+Oxidation; Carbamidomethyl
Instrument	Orbitrap Fusion

Revision	Datetime	Status	ChangeLog Entry
0	2019-06-04 14:05:08	ID requested
⏵ 1	2019-07-02 10:10:54	announced

no publication

submitter keyword: TMT Proteomics, Metaproteomics, Microbiome, Diet-induced obesity

David Gonzalez
contact affiliation	UCSD
contact email	djgonzalez@ucsd.edu
lab head
Robert Mills
contact affiliation	UCSD
contact email	rhmills@ucsd.edu
dataset submitter

MassIVE dataset URI

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://massive.ucsd.edu/MSV000083891