Literature DB >> 32776213

Identification of Differentially Expressed Genes Associated with Extracellular Matrix Degradation and Inflammatory Regulation in Calcific Tendinopathy Using RNA Sequencing.

Namjoon Cho1, Sung-Gwon Lee2, Jong Ok Kim3, Yong-An Kim1, Eun-Mi Kim4, Chungoo Park5, Jong-Hun Ji6, Kee K Kim7.   

Abstract

Calcific tendinopathy (CT), developed due to calcium hydroxyapatite deposition in the rotator cuff tendon, mostly affects women in their 40 s and 50 s and causes severe shoulder pain. However, the molecular basis of its pathogenesis and appropriate treatment methods are largely unknown. In this study, we identified 202 differentially expressed genes (DEGs) between calcific and adjacent normal tendon tissues of rotator cuff using RNA sequencing-based transcriptome analysis. The DEGs were highly enriched in extracellular matrix (ECM) degradation and inflammation-related processes. Further, matrix metalloproteinase 9 (MMP9) and matrix metalloproteinase 13 (MMP13), two of the enzymes associated with ECM degradation, were found to be highly upregulated 25.85- and 19.40-fold, respectively, in the calcific tendon tissues compared to the adjacent normal tendon tissues. Histopathological analyses indicated collagen degradation and macrophage infiltration at the sites of calcific deposit in the rotator cuff tendon. Our study acts as a foundation that may help in better understanding of the pathogenesis associated with CT, and thus in better management of the disease.

Entities:  

Keywords:  Calcific tendinopathy; Extracellular matrix; Inflammatory regulation; Matrix metalloproteinase; RNA sequencing

Mesh:

Year:  2020        PMID: 32776213     DOI: 10.1007/s00223-020-00743-x

Source DB:  PubMed          Journal:  Calcif Tissue Int        ISSN: 0171-967X            Impact factor:   4.333


  2 in total

Review 1.  Research perspectives-Pipelines to human tendon transcriptomics.

Authors:  Lorenzo Ramos-Mucci; Paula Sarmiento; Dianne Little; Sarah Snelling
Journal:  J Orthop Res       Date:  2022-03-16       Impact factor: 3.102

2.  Risk Factor Analysis for Predicting the Onset of Rotator Cuff Calcific Tendinitis Based on Artificial Intelligence.

Authors:  Shengtao Dong; Jie Li; Haozong Zhao; Yuanyuan Zheng; Yaoning Chen; Junxi Shen; Hua Yang; Jieyang Zhu
Journal:  Comput Intell Neurosci       Date:  2022-04-11
  2 in total

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