Southan Jennifer, McHugh Emily, Walker Heather, Ismail Heba M
Department of Infection, Immunity and Cardiovascular Disease, Medical School, The University of Sheffield, Sheffield, United Kingdom.
biOMICS Mass Spectrometry Facility, Department of Animal and Plant Sciences, The University of Sheffield, Sheffield, United Kingdom.
Front Mol Biosci. 2020 Dec 17;7:592905. doi: 10.3389/fmolb.2020.592905. eCollection 2020.
Mechanical injury to the articular cartilage is a key risk factor in joint damage and predisposition to osteoarthritis. Integrative multi-omics approaches provide a valuable tool to understand tissue behavior in response to mechanical injury insult and help to identify key pathways linking injury to tissue damage. Global or untargeted metabolomics provides a comprehensive characterization of the metabolite content of biological samples. In this study, we aimed to identify the metabolic signature of cartilage tissue post injury. We employed an integrative analysis of transcriptomics and global metabolomics of murine epiphyseal hip cartilage before and after injury. Transcriptomics analysis showed a significant enrichment of gene sets involved in regulation of metabolic processes including carbon metabolism, biosynthesis of amino acids, and steroid biosynthesis. Integrative analysis of enriched genes with putatively identified metabolite features post injury showed a significant enrichment for carbohydrate metabolism (glycolysis, galactose, and glycosylate metabolism and pentose phosphate pathway) and amino acid metabolism (arginine biosynthesis and tyrosine, glycine, serine, threonine, and arginine and proline metabolism). We then performed a cross analysis of global metabolomics profiles of murine and porcine cartilage injury models. The top commonly modulated metabolic pathways post injury included arginine and proline metabolism, arginine biosynthesis, glycolysis/gluconeogenesis, and vitamin B6 metabolic pathways. These results highlight the significant modulation of metabolic responses following mechanical injury to articular cartilage. Further investigation of these pathways would provide new insights into the role of the early metabolic state of articular cartilage post injury in promoting tissue damage and its link to disease progression of osteoarthritis.
关节软骨的机械损伤是关节损伤和易患骨关节炎的关键危险因素。整合多组学方法为理解组织对机械损伤刺激的反应行为提供了一个有价值的工具,并有助于识别将损伤与组织损伤联系起来的关键途径。全局或非靶向代谢组学提供了生物样品代谢物含量的全面表征。在本研究中,我们旨在识别损伤后软骨组织的代谢特征。我们对小鼠骺部髋关节软骨损伤前后的转录组学和全局代谢组学进行了整合分析。转录组学分析显示,参与代谢过程调控的基因集显著富集,包括碳代谢、氨基酸生物合成和类固醇生物合成。对损伤后推定鉴定的代谢物特征的富集基因进行整合分析,结果显示碳水化合物代谢(糖酵解、半乳糖、糖基化代谢和磷酸戊糖途径)和氨基酸代谢(精氨酸生物合成以及酪氨酸、甘氨酸、丝氨酸、苏氨酸、精氨酸和脯氨酸代谢)显著富集。然后,我们对小鼠和猪软骨损伤模型的全局代谢组学图谱进行了交叉分析。损伤后最常被调节的代谢途径包括精氨酸和脯氨酸代谢、精氨酸生物合成、糖酵解/糖异生和维生素B6代谢途径。这些结果突出了关节软骨机械损伤后代谢反应的显著调节。对这些途径的进一步研究将为损伤后关节软骨早期代谢状态在促进组织损伤中的作用及其与骨关节炎疾病进展的联系提供新的见解。