Bhutada Sumit, Hoyle Anna, Piuzzi Nicolas S, Apte Suneel S
Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, USA; Musculoskeletal Research Center, Cleveland Clinic, Cleveland, OH, USA.
Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK.
Osteoarthritis Cartilage. 2025 Jan;33(1):116-127. doi: 10.1016/j.joca.2024.09.002. Epub 2024 Sep 16.
Proteolytic cartilage extracellular matrix breakdown is a major mechanism of articular cartilage loss in osteoarthritis (OA) pathogenesis. We sought to determine the overlap of proteolytic peptides in matched knee OA cartilage and synovial fluid on a proteome-wide scale to increase the prospective biomarker repertoire and to attribute proteolytic cleavages to specific secreted proteases.
Matched human knee OA cartilage and synovial fluid (n = 5) were analyzed by N-terminomics using Terminal Amine Isotopic Labeling of Substrates (TAILS), comprising labeling and enrichment of protein N-termini, high-resolution mass spectrometry and positional peptide mapping. Donor non-OA articular cartilage was digested with CMA1, MMP13 or ADAMTS5, and TAILS was used to identify cleavage sites, which were matched against cartilage and synovial fluid degradomes.
Of over 20,000 cleaved peptides in the combined OA cartilage and synovial fluid degradomes, 677 peptides, originating from 153 proteins, were present in all cartilage and synovial fluid samples. CMA1, MMP13 and ADAMTS5 digestion of cartilage identified numerous cleavage sites for each protease and distinct cleavage site preferences. Peptides resulting from the activities of these proteases were detected in OA cartilage and synovial fluid.
Proteolytic fragments from both cartilage and circulating proteins are detectable by synovial fluid degradomics. CMA1, MMP13 and ADAMTS5 activity profiles in cartilage are distinct from each other and the previously determined HtrA1 profile. This work expands the proteolytic biomarker space for OA investigation, suggests that multiple, diverse proteases contribute to cartilage destruction, and demonstrates that their specific contributions can each be defined by multiple biomarkers.
蛋白水解性软骨细胞外基质降解是骨关节炎(OA)发病机制中关节软骨丧失的主要机制。我们试图在蛋白质组范围内确定匹配的膝骨关节炎软骨和滑液中蛋白水解肽的重叠情况,以增加潜在生物标志物的种类,并将蛋白水解切割归因于特定的分泌蛋白酶。
使用底物末端胺同位素标记法(TAILS)通过N端蛋白质组学分析匹配的人膝骨关节炎软骨和滑液(n = 5),包括蛋白质N端的标记和富集、高分辨率质谱分析和定位肽图谱分析。用CMA1、MMP13或ADAMTS5消化供体非骨关节炎关节软骨,并使用TAILS鉴定切割位点,将其与软骨和滑液降解组进行匹配。
在合并的骨关节炎软骨和滑液降解组中超过20000个切割肽中,有677个肽来自153种蛋白质,存在于所有软骨和滑液样本中。软骨的CMA1、MMP13和ADAMTS5消化鉴定了每种蛋白酶的众多切割位点以及不同的切割位点偏好。在骨关节炎软骨和滑液中检测到这些蛋白酶活性产生的肽。
滑膜液降解组学可检测到软骨和循环蛋白中的蛋白水解片段。软骨中的CMA1、MMP13和ADAMTS5活性谱彼此不同,也与先前确定的HtrA1谱不同。这项工作扩展了用于骨关节炎研究的蛋白水解生物标志物空间,表明多种不同的蛋白酶促成软骨破坏,并证明它们的具体作用均可由多种生物标志物来定义。