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PXD044448-2

PXD044448 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleAdherence to Lifestyle Recommendations Linked to Innate Immunity and Lipoprotein Metabolism: A Cross-Sectional Comparison Using Untargeted Proteomics
DescriptionThis study used untargeted proteomics to compare blood proteomic profiles in two groups of adults that differed widely in lifestyle habits. The goal was to identify a core list of proteins that were either upregulated or downregulated based on adherence to recommended lifestyle habits in adults. A total of 52 subjects in the lifestyle group (LIFE) (28 males, 24 females) and 52 in the control group (CON) (27 males, 25 females) participated in this cross-sectional study. Age, education level, marital status, and height did not differ significantly between LIFE and CON groups. The LIFE and CON groups differed markedly in body composition and fat mass-related anthropometric measurements including waist circumference, body mass index (BMI), sagittal abdominal diameter (SAD), and body composition (body fat percentage and fat mass index or FMI) (p<0.001). LIFE and CON groups were also widely disparate in physical activity patterns and maximal aerobic fitness, dietary intake patterns, disease risk factor prevalence, blood measures of inflammation, triglycerides, HDL-cholesterol, glucose, and insulin, weight-adjusted leg/back and handgrip strength, and mood states. The proteomics analysis showed strong group differences for 39 of 725 proteins identified in the dried blood spot samples. Of these, 18 were downregulated in the LIFE group and collectively indicated a lower innate immune activation signature. A total of 21 proteins were upregulated in the LIFE group and supported greater lipoprotein metabolism and HDL remodeling. Lifestyle-related habits and biomarkers were probed and the variance (>50%) in downregulated and upregulated proteins was best explained by group contrasts in indicators of body composition and visceral fat including FMI and SAD. This cross-sectional study established that a relatively small number of upregulated and downregulated proteins are associated with good lifestyle habits. A targeted “lifestyle” proteomic panel based on these data could be used in future studies to determine the efficacy of various prevention and treatment strategies.
HostingRepositoryPRIDE
AnnounceDate2023-11-14
AnnouncementXMLSubmission_2023-11-14_09:07:03.425.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterAmanda Ooi
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListacetylated residue; monohydroxylated residue; iodoacetamide derivatized residue
InstrumentOrbitrap Exploris 480
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-08-08 05:30:05ID requested
12023-10-24 11:03:18announced
22023-11-14 09:07:10announced2023-11-14: Updated project metadata.
Publication List
Nieman DC, Sakaguchi CA, Pelleigrini M, Thompson MJ, Sumner S, Zhang Q, Healthy lifestyle linked to innate immunity and lipoprotein metabolism: a cross-sectional comparison using untargeted proteomics. Sci Rep, 13(1):16728(2023) [pubmed]
Keyword List
submitter keyword: proteomics,Exercise, immunity, lifestyle, lipoproteins
Contact List
David C. Nieman
contact affiliationFACSM Professor, Department of Biology, Appalachian State University
contact emailniemandc@appstate.edu
lab head
Amanda Ooi
contact affiliationKing Abdullah University of Science and Technology (KAUST)
contact emailamanda.ooi@kaust.edu.sa
dataset submitter
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Dataset FTP location
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