Analysis of Serum Metabolomics in Rats with Osteoarthritis by Mass Spectrometry
Jingtong Zhao,
Meng Liu,
Tongfei Shi,
Mohan Gao,
Yuqian Lv,
Yawei Zhao,
Jing Li,
Ming Zhang,
Hansi Zhang,
Fengying Guan,
Kan He,
Li Chen
Affiliations
Jingtong Zhao
Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130061, China
Meng Liu
Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130061, China
Tongfei Shi
Institutes for Life Sciences, School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 510006, China
Mohan Gao
Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130061, China
Yuqian Lv
Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130061, China
Yawei Zhao
Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130061, China
Jing Li
Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130061, China
Ming Zhang
Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130061, China
Hansi Zhang
Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130061, China
Fengying Guan
Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130061, China
Kan He
Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130061, China
Li Chen
Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130061, China
Osteoarthritis is a common multifactorial chronic disease that occurs in articular cartilage, subchondral bone, and periarticular tissue. The pathogenesis of OA is still unclear. To investigate the differences in serum metabolites between OA and the control group, liquid chromatography/mass spectrometry (LC/MS)-based metabolomics was used. To reveal the pathogenesis of OA, 12 SD male rats were randomly divided into control and OA groups using collagenase to induce OA for modeling, and serum was collected 7 days after modeling for testing. The OA group was distinguished from the control group by principal component analysis and orthogonal partial least squares-discriminant analysis, and six biomarkers were finally identified. These biomarkers were metabolized through tryptophan metabolism, glutamate metabolism, nitrogen metabolism, spermidine metabolism, and fatty acid metabolism pathways. The study identified metabolites that may be altered in OA, suggesting a role in OA through relevant metabolic pathways. Metabolomics, as an important tool for studying disease mechanisms, provides useful information for studying the metabolic mechanisms of OA.
