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Identification of novel biomarkers for arthrofibrosis after total knee arthroplasty in animal models and clinical patients

BACKGROUND: Arthrofibrosis is a debilitating complication after total knee arthroplasty (TKA) which becomes a considerable burden for both patients and clinical practitioners. Our study aimed to identify novel biomarkers and therapeutic targets for drug discovery. METHODS: Potential biomarker genes...

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Autores principales: Chen, Xi, Wang, Zhaolun, Huang, Yong, Deng, Wang, Zhou, Yixin, Chu, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8325099/
https://www.ncbi.nlm.nih.gov/pubmed/34311327
http://dx.doi.org/10.1016/j.ebiom.2021.103486
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author Chen, Xi
Wang, Zhaolun
Huang, Yong
Deng, Wang
Zhou, Yixin
Chu, Ming
author_facet Chen, Xi
Wang, Zhaolun
Huang, Yong
Deng, Wang
Zhou, Yixin
Chu, Ming
author_sort Chen, Xi
collection PubMed
description BACKGROUND: Arthrofibrosis is a debilitating complication after total knee arthroplasty (TKA) which becomes a considerable burden for both patients and clinical practitioners. Our study aimed to identify novel biomarkers and therapeutic targets for drug discovery. METHODS: Potential biomarker genes were identified based on bioinformatic analysis. Twelve male New Zealand white rabbits underwent surgical fixation of unilateral knees to mimics the joint immobilization of the clinical scenario after TKA surgery. Macroscopic assessment, hydroxyproline content determination, and histological analysis of tissue were performed separately after 3-days, 1-week, 2-weeks, and 4-weeks of fixation. We also enrolled 46 arthrofibrosis patients and 92 controls to test the biomarkers. Clinical information such as sex, age, range of motion (ROM), and visual analogue scale (VAS) was collected by experienced surgeons FINDINGS: Base on bioinformatic analysis, transforming growth factor-beta receptor 1 (TGFBR1) was identified as the potential biomarkers. The level of TGFBR1 was significantly raised in the rabbit synovial tissue after 4-weeks of fixation (p<0.05). TGFBR1 also displayed a highly positive correlation with ROM loss and hydroxyproline contents in the animal model. TGFBR1 showed a significantly higher expression level in arthrofibrosis patients with a receiver operating characteristic (ROC) area under curve (AUC) of 0.838. TGFBR1 also performed positive correlations with VAS baseline (0.83) and VAS after 1 year (0.76) while negatively correlated with ROM baseline (-0.76) in clinical patients. INTERPRETATION: Our findings provided novel biomarkers for arthrofibrosis diagnosis and uncovered the role of TGFBR1. This may contribute to arthrofibrosis prevention and therapeutic drug discovery.
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spelling pubmed-83250992021-08-04 Identification of novel biomarkers for arthrofibrosis after total knee arthroplasty in animal models and clinical patients Chen, Xi Wang, Zhaolun Huang, Yong Deng, Wang Zhou, Yixin Chu, Ming EBioMedicine Research Paper BACKGROUND: Arthrofibrosis is a debilitating complication after total knee arthroplasty (TKA) which becomes a considerable burden for both patients and clinical practitioners. Our study aimed to identify novel biomarkers and therapeutic targets for drug discovery. METHODS: Potential biomarker genes were identified based on bioinformatic analysis. Twelve male New Zealand white rabbits underwent surgical fixation of unilateral knees to mimics the joint immobilization of the clinical scenario after TKA surgery. Macroscopic assessment, hydroxyproline content determination, and histological analysis of tissue were performed separately after 3-days, 1-week, 2-weeks, and 4-weeks of fixation. We also enrolled 46 arthrofibrosis patients and 92 controls to test the biomarkers. Clinical information such as sex, age, range of motion (ROM), and visual analogue scale (VAS) was collected by experienced surgeons FINDINGS: Base on bioinformatic analysis, transforming growth factor-beta receptor 1 (TGFBR1) was identified as the potential biomarkers. The level of TGFBR1 was significantly raised in the rabbit synovial tissue after 4-weeks of fixation (p<0.05). TGFBR1 also displayed a highly positive correlation with ROM loss and hydroxyproline contents in the animal model. TGFBR1 showed a significantly higher expression level in arthrofibrosis patients with a receiver operating characteristic (ROC) area under curve (AUC) of 0.838. TGFBR1 also performed positive correlations with VAS baseline (0.83) and VAS after 1 year (0.76) while negatively correlated with ROM baseline (-0.76) in clinical patients. INTERPRETATION: Our findings provided novel biomarkers for arthrofibrosis diagnosis and uncovered the role of TGFBR1. This may contribute to arthrofibrosis prevention and therapeutic drug discovery. Elsevier 2021-07-23 /pmc/articles/PMC8325099/ /pubmed/34311327 http://dx.doi.org/10.1016/j.ebiom.2021.103486 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Chen, Xi
Wang, Zhaolun
Huang, Yong
Deng, Wang
Zhou, Yixin
Chu, Ming
Identification of novel biomarkers for arthrofibrosis after total knee arthroplasty in animal models and clinical patients
title Identification of novel biomarkers for arthrofibrosis after total knee arthroplasty in animal models and clinical patients
title_full Identification of novel biomarkers for arthrofibrosis after total knee arthroplasty in animal models and clinical patients
title_fullStr Identification of novel biomarkers for arthrofibrosis after total knee arthroplasty in animal models and clinical patients
title_full_unstemmed Identification of novel biomarkers for arthrofibrosis after total knee arthroplasty in animal models and clinical patients
title_short Identification of novel biomarkers for arthrofibrosis after total knee arthroplasty in animal models and clinical patients
title_sort identification of novel biomarkers for arthrofibrosis after total knee arthroplasty in animal models and clinical patients
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8325099/
https://www.ncbi.nlm.nih.gov/pubmed/34311327
http://dx.doi.org/10.1016/j.ebiom.2021.103486
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