Summary of Study ST001914

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001207. The data can be accessed directly via it's Project DOI: 10.21228/M8PQ6M This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST001914
Study TitleFecal Metabolomics Reveals Products of Dysregulated Proteolysis and Altered Microbial Metabolism in Obesity-Related Osteoarthritis
Study TypeC18 Untargeted UPLC-MS Metabolomics Analysis
Study SummaryObjective. The objective of this study was to determine if perturbations in gut microbial composition and the gut metabolome could be linked to individuals with obesity and osteoarthritis (OA). Methods. Fecal samples were collected from obese individuals diagnosed with radiographic hand plus knee OA (n=59), defined as involvement of at least 3 joints across both hands, and a Kellgren-Lawrence (KL) grade 2-4 (or total knee replacement) in at least one knee. Controls (n=33) were without hand OA and with KL grade 0-1 knees. Fecal metabolomes were analyzed by a UHPLC/Q Exactive HFx mass spectrometer. Microbiome composition was determined in fecal samples by 16S ribosomal RNA amplicon sequencing (rRNA-seq). Stepwise logistic regression models were built to determine microbiome and/or metabolic characteristics of OA. Results. Untargeted metabolomics analysis indicated that OA cases had significantly higher levels of di- and tri-peptides and significant perturbations in microbial metabolites including propionic acid, indoles and other tryptophan metabolites. Pathway analysis revealed several significantly perturbed pathways associated with OA including leukotriene metabolism, amino acid metabolism and fatty acid utilization. Logistic regression models selected metabolites associated with the gut microbiota and leaky gut syndrome as significant predictors of OA status, particularly when combined with the rRNA-seq data. Conclusions. Adults with obesity and OA have distinct fecal metabolomes characterized by increased products of proteolysis, perturbations in leukotriene metabolism, and changes in microbial metabolites compared with controls. These metabolic perturbations indicate a possible role of dysregulated proteolysis in OA.
Institute
University of North Carolina at Chapel Hill
DepartmentNutrition
LaboratoryMetabolomics and Exposome Laboratory, Nutrition Research Institute, UNC Chapel Hill
Last NameSusan
First NameSumner
Address500 Laureate Way, Kannapolis, NC 28081
Emailsusan_sumner@unc.edu
Phone9196224456
Submit Date2021-09-08
Num Groups2 (excluding QC group)
Total Subjects92
Num Males69
Num Females23
Raw Data AvailableYes
Raw Data File Type(s)raw(Thermo)
Analysis Type DetailLC-MS
Release Date2022-09-14
Release Version1
Sumner Susan Sumner Susan
https://dx.doi.org/10.21228/M8PQ6M
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Subject:

Subject ID:SU001992
Subject Type:Human
Subject Species:Homo sapiens
Taxonomy ID:9606
Gender:Male and female
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