代谢组学技术在骨关节炎不同研究对象中的应用
Application of Metabolomics Techniques in Different Subjects of Osteoarthritis2Yunnan Branch, Institute of Medicinal Plant Research, Chinese Academy of Medical Sciences & Peking Union Medical College Pharmacology Center, Jinghong Yunnan
DOI: 10.12677/acm.2025.15102810, PDF,    科研立项经费支持
作者: 陈江龙, 夏 彬, 周汝婕:黑龙江中医药大学药学院,黑龙江 哈尔滨;崔芸菲:中国医学科学院北京协和医学院药用植物研究所云南分所药理中心,云南 景洪;苏锦华:西双版纳傣族自治州药品监督检验研究院,云南 景洪;王金辉:西双版纳傣药研究院有限公司,云南 景洪;李 光*:中国医学科学院北京协和医学院药用植物研究所云南分所药理中心,云南 景洪;云南省南药可持续利用研究重点实验室,云南 景洪
关键词: 生物标志物代谢途径代谢组学骨关节炎Biomarkers Metabolic Pathways Metabolomics Osteoarthritis
摘要: 骨关节炎(OA)是全球最普遍和最致残的关节炎,因为它具有异质性和进行性关节退化。然而这种疾病缺乏有效和及时的诊断和基础治疗。代谢组学是近年来生命科学研究中一个不断发展的领域,因为其具有检测许多代谢物的潜力,从而解释潜在的病理生理过程,因此可以确定OA的新特异性代谢标志物和相关代谢途径。在本综述中,我们旨在概述动物模型中OA代谢组学相关的研究,以描述OA的代谢变化和相关途径。
Abstract: Osteoarthritis (OA) is the most prevalent and disabling form of arthritis globally, characterized by its heterogeneity and progressive joint degeneration. However, effective and timely diagnostic methods and fundamental treatments for this disease remain lacking. Metabolomics represents an evolving field in life science research in recent years, as it holds the potential to detect numerous metabolites, thereby elucidating underlying pathophysiological processes. Consequently, it can identify novel specific metabolic biomarkers and associated metabolic pathways for OA. In this review, we aim to summarize studies related to OA metabolomics in animal models, in order to depict the metabolic alterations and relevant pathways in OA.
文章引用:陈江龙, 夏彬, 周汝婕, 崔芸菲, 苏锦华, 王金辉, 李光. 代谢组学技术在骨关节炎不同研究对象中的应用[J]. 临床医学进展, 2025, 15(10): 712-718. https://doi.org/10.12677/acm.2025.15102810

参考文献

[1] Zhang, Y. and Jordan, J.M. (2008) Epidemiology of Osteoarthritis. Rheumatic Disease Clinics of North America, 34, 515-529. [Google Scholar] [CrossRef] [PubMed]
[2] GBD 2017 Disease and Injury Incidence and Prevalence Collaborators (2018) Global, Regional, and National Incidence, Prevalence, and Years Lived with Disability for 354 Diseases and Injuries for 195 Countries and Territories, 1990-2017: A Systematic Analysis for the Global Burden of Disease Study 2017. The Lancet, 392, 1789-1858.
[3] Dalluge, J.J., Smith, S., Sanchez-Riera, F., McGuire, C. and Hobson, R. (2004) Potential of Fermentation Profiling via Rapid Measurement of Amino Acid Metabolism by Liquid Chromatography-Tandem Mass Spectrometry. Journal of Chromatography A, 1043, 3-7. [Google Scholar] [CrossRef] [PubMed]
[4] Coulier, L., Bas, R., Jespersen, S., Verheij, E., van der Werf, M.J. and Hankemeier, T. (2006) Simultaneous Quantitative Analysis of Metabolites Using Ion-Pair Liquid Chromatography-Electrospray Ionization Mass Spectrometry. Analytical Chemistry, 78, 6573-6582. [Google Scholar] [CrossRef] [PubMed]
[5] Volmer, D.A. and Sleno, L. (2004) Tutorial: Mass Analyzers: An Overview of Several Designs and Their Applications, Part I. Spectroscopy, 20, 1-6.
[6] Li, C., Chu, S., Tan, S., Yin, X., Jiang, Y., Dai, X., et al. (2021) Towards Higher Sensitivity of Mass Spectrometry: A Perspective from the Mass Analyzers. Frontiers in Chemistry, 9, Article ID: 813359. [Google Scholar] [CrossRef] [PubMed]
[7] Zubarev, R.A. and Makarov, A. (2013) Orbitrap Mass Spectrometry. Analytical Chemistry, 85, 5288-5296. [Google Scholar] [CrossRef] [PubMed]
[8] Buchholz, A., Hurlebaus, J., Wandrey, C. and Takors, R. (2002) Metabolomics: Quantification of Intracellular Metabolite Dynamics. Biomolecular Engineering, 19, 5-15. [Google Scholar] [CrossRef] [PubMed]
[9] An, Y., Cai, H., Yang, Y., Zhang, Y., Liu, S., Wu, X., et al. (2018) Identification of ENTPD8 and Cytidine in Pancreatic Cancer by Metabolomic and Transcriptomic Conjoint Analysis. Cancer Science, 109, 2811-2821. [Google Scholar] [CrossRef] [PubMed]
[10] Jasbi, P., Wang, D., Cheng, S.L., Fei, Q., Cui, J.Y., Liu, L., et al. (2019) Breast Cancer Detection Using Targeted Plasma Metabolomics. Journal of Chromatography B, 1105, 26-37. [Google Scholar] [CrossRef] [PubMed]
[11] Fan, X., Rao, J., Zhang, Z., Li, D., Cui, W., Zhang, J., et al. (2018) Macranthoidin B Modulates Key Metabolic Pathways to Enhance ROS Generation and Induce Cytotoxicity and Apoptosis in Colorectal Cancer. Cellular Physiology and Biochemistry, 46, 1317-1330. [Google Scholar] [CrossRef] [PubMed]
[12] Niu, L., Thiele, M., Geyer, P.E., Rasmussen, D.N., Webel, H.E., Santos, A., et al. (2022) Noninvasive Proteomic Biomarkers for Alcohol-Related Liver Disease. Nature Medicine, 28, 1277-1287. [Google Scholar] [CrossRef] [PubMed]
[13] Zhai, G., Wang-Sattler, R., Hart, D.J., Arden, N.K., Hakim, A.J., Illig, T., et al. (2010) Serum Branched-Chain Amino Acid to Histidine Ratio: A Novel Metabolomic Biomarker of Knee Osteoarthritis. Annals of the Rheumatic Diseases, 69, 1227-1231. [Google Scholar] [CrossRef] [PubMed]
[14] Shet, K., Siddiqui, S.M., Yoshihara, H., Kurhanewicz, J., Ries, M. and Li, X. (2012) High‐Resolution Magic Angle Spinning NMR Spectroscopy of Human Osteoarthritic Cartilage. NMR in Biomedicine, 25, 538-544. [Google Scholar] [CrossRef] [PubMed]
[15] Adams, S.B., Setton, L.A., Kensicki, E., Bolognesi, M.P., Toth, A.P. and Nettles, D.L. (2012) Global Metabolic Profiling of Human Osteoarthritic Synovium. Osteoarthritis and Cartilage, 20, 64-67. [Google Scholar] [CrossRef] [PubMed]
[16] Mickiewicz, B., Kelly, J.J., Ludwig, T.E., Weljie, A.M., Wiley, J.P., Schmidt, T.A., et al. (2015) Metabolic Analysis of Knee Synovial Fluid as a Potential Diagnostic Approach for Osteoarthritis. Journal of Orthopaedic Research, 33, 1631-1638. [Google Scholar] [CrossRef] [PubMed]
[17] Carlson, A.K., Rawle, R.A., Adams, E., Greenwood, M.C., Bothner, B. and June, R.K. (2018) Application of Global Metabolomic Profiling of Synovial Fluid for Osteoarthritis Biomarkers. Biochemical and Biophysical Research Communications, 499, 182-188. [Google Scholar] [CrossRef] [PubMed]
[18] van Spil, W.E., DeGroot, J., Lems, W.F., Oostveen, J.C.M. and Lafeber, F.P.J.G. (2010) Serum and Urinary Biochemical Markers for Knee and Hip-Osteoarthritis: A Systematic Review Applying the Consensus BIPED Criteria. Osteoarthritis and Cartilage, 18, 605-612. [Google Scholar] [CrossRef] [PubMed]
[19] Bauer, D.C., Hunter, D.J., Abramson, S.B., Attur, M., Corr, M., Felson, D., et al. (2006) Classification of Osteoarthritis Biomarkers: A Proposed Approach. Osteoarthritis and Cartilage, 14, 723-727.
[20] Arunrukthavon, P., Heebthamai, D., Benchasiriluck, P., Chaluay, S., Chotanaphuti, T. and Khuangsirikul, S. (2020) Can Urinary CTX-II Be a Biomarker for Knee Osteoarthritis? Arthroplasty, 2, Article No. 6. [Google Scholar] [CrossRef] [PubMed]
[21] Zhang, Q., Li, H., Zhang, Z., Yang, F. and Chen, J. (2015) Serum Metabolites as Potential Biomarkers for Diagnosis of Knee Osteoarthritis. Disease Markers, 2015, Article ID: 684794. [Google Scholar] [CrossRef] [PubMed]
[22] Li, J., Zeng, N., Yan, Z., Liao, T. and Ni, G. (2021) A Review of Applications of Metabolomics in Osteoarthritis. Clinical Rheumatology, 40, 2569-2579. [Google Scholar] [CrossRef] [PubMed]
[23] Ohnishi, A., Osaki, T., Matahira, Y., Tsuka, T., Imagawa, T., Okamoto, Y., et al. (2013) Correlation of Plasma Amino Acid Concentrations and Chondroprotective Effects of Glucosamine and Fish Collagen Peptide on the Development of Osteoarthritis. Journal of Veterinary Medical Science, 75, 497-502. [Google Scholar] [CrossRef] [PubMed]
[24] Tootsi, K., Vilba, K., Märtson, A., Kals, J., Paapstel, K. and Zilmer, M. (2020) Metabolomic Signature of Amino Acids, Biogenic Amines and Lipids in Blood Serum of Patients with Severe Osteoarthritis. Metabolites, 10, Article 323. [Google Scholar] [CrossRef] [PubMed]
[25] Abramson, S.B., Amin, A.R., Clancy, R.M. and Attur, M. (2001) The Role of Nitric Oxide in Tissue Destruction. Best Practice & Research Clinical Rheumatology, 15, 831-845. [Google Scholar] [CrossRef] [PubMed]
[26] Carlson, A.K., Rawle, R.A., Adams, E., Greenwood, M.C., Bothner, B. and June, R.K. (2018) Application of Global Metabolomic Profiling of Synovial Fluid for Osteoarthritis Biomarkers. Biochemical and Biophysical Research Communications, 499, 182-188. [Google Scholar] [CrossRef] [PubMed]
[27] Miao, H., Chen, L., Hao, L., et al. (2015) Stearic Acid Induces Proinflammatory Cytokine Production Partly through Activation of Lactate-HIF1α Pathway in Chondrocytes. Scientific Reports, 5, Article No. 13092. [Google Scholar] [CrossRef] [PubMed]
[28] Li, X., Yang, S., Qiu, Y., Zhao, T., Chen, T., Su, M., et al. (2010) Urinary Metabolomics as a Potentially Novel Diagnostic and Stratification Tool for Knee Osteoarthritis. Metabolomics, 6, 109-118. [Google Scholar] [CrossRef
[29] Pekala, J., Patkowska-Sokola, B., Bodkowski, R., Jamroz, D., Nowakowski, P., Lochynski, S., et al. (2011) L-Carnitine-Metabolic Functions and Meaning in Humans Life. Current Drug Metabolism, 12, 667-678. [Google Scholar] [CrossRef] [PubMed]
[30] Zhao, J., Liu, M., Shi, T., Gao, M., Lv, Y., Zhao, Y., et al. (2021) Analysis of Serum Metabolomics in Rats with Osteoarthritis by Mass Spectrometry. Molecules, 26, Article 7181. [Google Scholar] [CrossRef] [PubMed]
[31] Abdelrazig, S., Ortori, C.A., Doherty, M., Valdes, A.M., Chapman, V. and Barrett, D.A. (2021) Metabolic Signatures of Osteoarthritis in Urine Using Liquid Chromatography‐High Resolution Tandem Mass Spectrometry. Metabolomics, 17, Article No. 29. [Google Scholar] [CrossRef] [PubMed]
[32] Dwivedi, G., Flaman, L., Alaybeyoglu, B., Struglics, A., Frank, E.H., Chubinskya, S., et al. (2022) Inflammatory Cytokines and Mechanical Injury Induce Post-Traumatic Osteoarthritis-Like Changes in a Human Cartilage-Bone-Synovium Microphysiological System. Arthritis Research & Therapy, 24, Article No. 198. [Google Scholar] [CrossRef] [PubMed]
[33] Park, Y.M., Kim, S.J., Lee, K.J., Yang, S.S., Min, B. and Yoon, H.C. (2015) Detection of CTX-II in Serum and Urine to Diagnose Osteoarthritis by Using a Fluoro-Microbeads Guiding Chip. Biosensors and Bioelectronics, 67, 192-199. [Google Scholar] [CrossRef] [PubMed]
[34] Jutila, A.A. (2013) Development and Validation of a System for Studying Chondrocyte Mechanotransduction with Preliminary Metabolomic Results. Montana State University, p. 154.
[35] Lotz, M., Martel-Pelletier, J., Christiansen, C., Brandi, M., Bruyère, O., Chapurlat, R., et al. (2013) Value of Biomarkers in Osteoarthritis: Current Status and Perspectives. Annals of the Rheumatic Diseases, 72, 1756-1763. [Google Scholar] [CrossRef] [PubMed]
[36] Hao, H.Q., Zhang, J.F., He, Q.Q. and Wang, Z. (2019) Cartilage Oligomeric Matrix Protein, C-Terminal Cross-Linking Telopeptide of Type II Collagen, and Matrix Metalloproteinase-3 as Biomarkers for Knee and Hip Osteoarthritis (OA) Diagnosis: A Systematic Review and Meta-Analysis. Osteoarthritis and Cartilage, 27, 726-736. [Google Scholar] [CrossRef] [PubMed]
[37] Anderson, J.R., Phelan, M.M., Foddy, L., Clegg, P.D. and Peffers, M.J. (2020) Ex Vivo Equine Cartilage Explant Osteoarthritis Model: A Metabolomics and Proteomics Study. Journal of Proteome Research, 19, 3652-3667. [Google Scholar] [CrossRef] [PubMed]
[38] Giannasi, C., Niada, S., Magagnotti, C., Ragni, E., Andolfo, A. and Brini, A.T. (2020) Comparison of Two ASC-Derived Therapeutics in an in Vitro OA Model: Secretome versus Extracellular Vesicles. Stem Cell Research & Therapy, 11, 1-15. [Google Scholar] [CrossRef] [PubMed]