Metabolomic Profiles and Pathways in Osteoarthritic Human Cartilage: A Comparative Analysis with Healthy Cartilage

Author:

Welhaven Hope D.1ORCID,Welfley Avery H.2,Brahmachary Priyanka2,Bergstrom Annika R.3ORCID,Houske Eden4ORCID,Glimm Matthew4ORCID,Bothner Brian1ORCID,Hahn Alyssa K.4,June Ronald K.2ORCID

Affiliation:

1. Department of Chemistry & Biochemistry, Montana State University, Bozeman, MT 59717, USA

2. Department of Mechanical & Industrial Engineering, Montana State University, Bozeman, MT 59717, USA

3. Department of Chemical & Biological Engineering, Villanova University, Villanova, PA 19085, USA

4. Department of Biological and Environmental Sciences, Carroll College, Helena, MT 59625, USA

Abstract

Osteoarthritis (OA) is a chronic joint disease with heterogenous metabolic pathology. To gain insight into OA-related metabolism, metabolite extracts from healthy (n = 11) and end-stage osteoarthritic cartilage (n = 35) were analyzed using liquid chromatography–mass spectrometry metabolomic profiling. Specific metabolites and metabolic pathways, including lipid and amino acid pathways, were differentially regulated in osteoarthritis-derived and healthy cartilage. The detected alterations in amino acids and lipids highlighted key differences in bioenergetic resources, matrix homeostasis, and mitochondrial alterations in OA-derived cartilage compared to healthy cartilage. Moreover, the metabolomic profiles of osteoarthritic cartilage separated into four distinct endotypes, highlighting the heterogenous nature of OA metabolism and the diverse landscape within the joint in patients. The results of this study demonstrate that human cartilage has distinct metabolomic profiles in healthy and end-stage OA patients. By taking a comprehensive approach to assess metabolic differences between healthy and osteoarthritic cartilage and within osteoarthritic cartilage alone, several metabolic pathways with distinct regulation patterns were detected. Additional investigation may lead to the identification of metabolites that may serve as valuable indicators of disease status or potential therapeutic targets.

Funder

National Institutes of Health

National Science Foundation

M.J. Murdock Charitable Trust

National Aeronautics and Space Administration

Publisher

MDPI AG

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