Literature DB >> 27074781

Metabolic analysis of osteoarthritis subchondral bone based on UPLC/Q-TOF-MS.

Gang Yang1, Hua Zhang1, Tingmei Chen2, Weiwen Zhu1, Shijia Ding2, Kaiming Xu1, Zhongwei Xu1, Yanlei Guo3, Jian Zhang4.   

Abstract

Osteoarthritis (OA), one of the most widespread musculoskeletal joint diseases among the aged, is characterized by the progressive loss of articular cartilage and continuous changes in subchondral bone. The exact pathogenesis of osteoarthritis is not completely clear. In this work, ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC/Q-TOF-MS) in combination with multivariate statistical analysis was applied to analyze the metabolic profiling of subchondral bone from 42 primary osteoarthritis patients. This paper described a modified two-step method for extracting the metabolites of subchondral bone from primary osteoarthritis patients. Finally, 68 metabolites were identified to be significantly changed in the sclerotic subchondral bone compared with the non-sclerotic subchondral bone. Taurine and hypotaurine metabolism and beta-alanine metabolism were probably relevant to the sclerosis of subchondral bone. Taurine, L-carnitine, and glycerophospholipids played a vital regulation role in the pathological process of sclerotic subchondral bone. In the sclerotic process, beta-alanine and L-carnitine might be related to the increase of energy consumption. In addition, our findings suggested that the intra-cellular environment of sclerotic subchondral bone might be more acidotic and hypoxic compared with the non-sclerotic subchondral bone. In conclusion, this study provided a new insight into the pathogenesis of subchondral bone sclerosis. Our results indicated that metabolomics could serve as a promising approach for elucidating the pathogenesis of subchondral bone sclerosis in primary osteoarthritis. Graphical Abstract Metabolic analysis of osteoarthritis subchondral bone.

Entities:  

Keywords:  Metabolic pathways; Metabolomics; Osteoarthritis; Subchondral bone; UPLC/Q-TOF-MS

Mesh:

Substances:

Year:  2016        PMID: 27074781     DOI: 10.1007/s00216-016-9524-x

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  15 in total

1.  Discovery of potential biomarkers for osteoporosis using LC-MS/MS metabolomic methods.

Authors:  J Wang; D Yan; A Zhao; X Hou; X Zheng; P Chen; Y Bao; W Jia; C Hu; Z-L Zhang; W Jia
Journal:  Osteoporos Int       Date:  2019-02-18       Impact factor: 4.507

2.  Investigation of the relationships between knee osteoarthritis and obesity via untargeted metabolomics analysis.

Authors:  Onur Senol; Gulsah Gundogdu; Koksal Gundogdu; Fatma Demirkaya Miloglu
Journal:  Clin Rheumatol       Date:  2019-01-14       Impact factor: 2.980

3.  Fecal metabolomics reveals products of dysregulated proteolysis and altered microbial metabolism in obesity-related osteoarthritis.

Authors:  B R Rushing; S McRitchie; L Arbeeva; A E Nelson; M A Azcarate-Peril; Y-Y Li; Y Qian; W Pathmasiri; S C J Sumner; R F Loeser
Journal:  Osteoarthritis Cartilage       Date:  2021-10-28       Impact factor: 6.576

4.  The Cortical Bone Metabolome of C57BL/6J Mice Is Sexually Dimorphic.

Authors:  Hope D Welhaven; Ghazal Vahidi; Seth T Walk; Brian Bothner; Stephen A Martin; Chelsea M Heveran; Ronald K June
Journal:  JBMR Plus       Date:  2022-06-22

Review 5.  A review of applications of metabolomics in osteoarthritis.

Authors:  Jie-Ting Li; Ni Zeng; Zhi-Peng Yan; Tao Liao; Guo-Xin Ni
Journal:  Clin Rheumatol       Date:  2020-11-20       Impact factor: 2.980

6.  Systems approaches in osteoarthritis: Identifying routes to novel diagnostic and therapeutic strategies.

Authors:  Alan J Mueller; Mandy J Peffers; Carole J Proctor; Peter D Clegg
Journal:  J Orthop Res       Date:  2017-04-24       Impact factor: 3.494

Review 7.  Metabolomics as a promising tool for early osteoarthritis diagnosis.

Authors:  E B de Sousa; G C Dos Santos; M E L Duarte; V Moura; D P Aguiar
Journal:  Braz J Med Biol Res       Date:  2017-09-21       Impact factor: 2.590

8.  An impaired healing model of osteochondral defect in papain-induced arthritis.

Authors:  Xiangbo Meng; Sibylle Grad; Chunyi Wen; Yuxiao Lai; Mauro Alini; Ling Qin; Xinluan Wang
Journal:  J Orthop Translat       Date:  2020-09-22       Impact factor: 5.191

9.  Tilapia nilotica Head Lipids Improved Bone Loss by Regulating Inflammation and Serum Metabolism Through Gut Microbiota in Ovariectomized Rats.

Authors:  Yujie Zhu; Shucheng Liu; Fengfeng Mei; Meihui Zhao; Guanghua Xia; Xuanri Shen
Journal:  Front Nutr       Date:  2022-01-12

10.  1H NMR Metabolomics Identifies Underlying Inflammatory Pathology in Osteoarthritis and Rheumatoid Arthritis Synovial Joints.

Authors:  James R Anderson; Susama Chokesuwattanaskul; Marie M Phelan; Tim J M Welting; Lu-Yun Lian; Mandy J Peffers; Helen L Wright
Journal:  J Proteome Res       Date:  2018-10-03       Impact factor: 4.466

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