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Plasma Metabolomics and Lipidomics Differentiate Obese Individuals by Peripheral Neuropathy Status.

Authors :
Guo K
Savelieff MG
Rumora AE
Alakwaa FM
Callaghan BC
Hur J
Feldman EL
Source :
The Journal of clinical endocrinology and metabolism [J Clin Endocrinol Metab] 2022 Mar 24; Vol. 107 (4), pp. 1091-1109.
Publication Year :
2022

Abstract

Context: Peripheral neuropathy (PN) is a frequent prediabetes and type 2 diabetes (T2D) complication. Multiple clinical studies reveal that obesity and dyslipidemia can also drive PN progression, independent of glycemia, suggesting a complex interplay of specific metabolite and/or lipid species may underlie PN.<br />Objective: This work aimed to identify the plasma metabolomics and lipidomics signature that underlies PN in an observational study of a sample of individuals with average class 3 obesity.<br />Methods: We performed plasma global metabolomics and targeted lipidomics on obese participants with (n = 44) and without PN (n = 44), matched for glycemic status, vs lean nonneuropathic controls (n = 43). We analyzed data by Wilcoxon, logistic regression, partial least squares-discriminant analysis, and group-lasso to identify differential metabolites and lipids by obesity and PN status. We also conducted subanalysis by prediabetes and T2D status.<br />Results: Lean vs obese comparisons, regardless of PN status, identified the most significant differences in gamma-glutamyl and branched-chain amino acid metabolism from metabolomics analysis and triacylglycerols from lipidomics. Stratification by PN status within obese individuals identified differences in polyamine, purine biosynthesis, and benzoate metabolism. Lipidomics found diacylglycerols as the most significant subpathway distinguishing obese individuals by PN status, with additional contributions from phosphatidylcholines, sphingomyelins, ceramides, and dihydroceramides. Stratifying the obese group by glycemic status did not affect discrimination by PN status.<br />Conclusion: Obesity may be as strong a PN driver as prediabetes or T2D in a sample of individuals with average class 3 obesity, at least by plasma metabolomics and lipidomics profile. Metabolic and complex lipid pathways can differentiate obese individuals with and without PN, independent of glycemic status.<br /> (© The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Details

Language :
English
ISSN :
1945-7197
Volume :
107
Issue :
4
Database :
MEDLINE
Journal :
The Journal of clinical endocrinology and metabolism
Publication Type :
Academic Journal
Accession number :
34878536
Full Text :
https://doi.org/10.1210/clinem/dgab844