Literature DB >> 31876303

Duration of symptoms prior to partial meniscectomy is not associated with the expression of osteoarthritis genes in the injured meniscus.

Robert H Brophy1, Eric J Schmidt2, Lei Cai1, Muhammad Farooq Rai1,3.   

Abstract

While there is emerging data on how duration of symptoms prior to surgery relates to outcomes of patients undergoing arthroscopic partial meniscectomy, little is known about how duration of symptoms relates to the biology of the knee in these patients. The purpose of this study was to test the hypothesis that duration of symptoms prior to arthroscopic partial meniscectomy is associated with expression of osteoarthritis (OA)-related genes in the meniscus. We collected resected meniscus from patients (N = 76) undergoing clinically indicated arthroscopic partial meniscectomy from knees without advanced degenerative changes. RNA from 64 patients was analyzed for 28 candidate OA transcripts by real-time polymerase chain reaction (PCR). RNA was also probed for identification of novel genes by RNA microarray in 12 patients followed by validation of selected candidates by real-time PCR. The association of gene expression with duration of symptoms prior to surgery was tested. Additional screening was performed with known OA genetic risk alleles assembled from published literature and with gene transcripts differentially expressed between non-OA and OA cartilage and menisci. Our data revealed that duration of symptoms did not predict expression of OA genes in the meniscus, other than limited association with CXCL3, BMP2, and HLA-DQA1. Microarray identified new genes and pathways with unknown role(s) in meniscus injury and OA and validation of a subset of genes by real-time PCR showed expression pattern highly concordant with the microarray data. While duration of symptoms prior to arthroscopic partial meniscectomy does not significantly alter the expression of OA related genes, the association with novel genes and pathways deserves further investigation.
© 2019 Orthopaedic Research Society. Published by Wiley Periodicals, Inc.

Entities:  

Keywords:  meniscus tear; osteoarthritis; risk alleles; time from injury; transcriptome analysis

Mesh:

Year:  2020        PMID: 31876303      PMCID: PMC7225063          DOI: 10.1002/jor.24574

Source DB:  PubMed          Journal:  J Orthop Res        ISSN: 0736-0266            Impact factor:   3.494


  37 in total

1.  Gene expression in human meniscal tears has limited association with early degenerative changes in knee articular cartilage.

Authors:  Robert H Brophy; Linda J Sandell; James M Cheverud; Muhammad Farooq Rai
Journal:  Connect Tissue Res       Date:  2016-07-19       Impact factor: 3.417

2.  Induction of metalloproteinases expression by TLR ligands in human fibroblast like synoviocytes from juvenile idiopathic arthritis patients.

Authors:  Shilpi Agarwal; Ramnath Misra; Amita Aggarwal
Journal:  Indian J Med Res       Date:  2010-06       Impact factor: 2.375

3.  Transcriptome comparison of meniscus from patients with and without osteoarthritis.

Authors:  R H Brophy; B Zhang; L Cai; R W Wright; L J Sandell; M F Rai
Journal:  Osteoarthritis Cartilage       Date:  2017-12-16       Impact factor: 6.576

Review 4.  BMP signalling in skeletal development, disease and repair.

Authors:  Valerie S Salazar; Laura W Gamer; Vicki Rosen
Journal:  Nat Rev Endocrinol       Date:  2016-02-19       Impact factor: 43.330

5.  The Role of Bmp2 in the Maturation and Maintenance of the Murine Knee Joint.

Authors:  Laura W Gamer; Steven Pregizer; Jackson Gamer; Marina Feigenson; Andreia Ionescu; Qing Li; Lin Han; Vicki Rosen
Journal:  J Bone Miner Res       Date:  2018-06-13       Impact factor: 6.741

6.  New sequence variants in HLA class II/III region associated with susceptibility to knee osteoarthritis identified by genome-wide association study.

Authors:  Masahiro Nakajima; Atsushi Takahashi; Ikuyo Kou; Cristina Rodriguez-Fontenla; Juan J Gomez-Reino; Tatsuya Furuichi; Jin Dai; Akihiro Sudo; Atsumasa Uchida; Naoshi Fukui; Michiaki Kubo; Naoyuki Kamatani; Tatsuhiko Tsunoda; Konstantinos N Malizos; Aspasia Tsezou; Antonio Gonzalez; Yusuke Nakamura; Shiro Ikegawa
Journal:  PLoS One       Date:  2010-03-18       Impact factor: 3.240

7.  Meniscal tear as an osteoarthritis risk factor in a largely non-osteoarthritic cohort: a cross-sectional study.

Authors:  Changhai Ding; Johanne Martel-Pelletier; Jean-Pierre Pelletier; François Abram; Jean-Pierre Raynauld; Flavia Cicuttini; Graeme Jones
Journal:  J Rheumatol       Date:  2007-03-15       Impact factor: 4.666

Review 8.  Can we predict the clinical outcome of arthroscopic partial meniscectomy? A systematic review.

Authors:  Susanne M Eijgenraam; Max Reijman; Sita M A Bierma-Zeinstra; Daan T van Yperen; Duncan E Meuffels
Journal:  Br J Sports Med       Date:  2017-11-28       Impact factor: 13.800

9.  RNA Microarray Analysis of Macroscopically Normal Articular Cartilage from Knees Undergoing Partial Medial Meniscectomy: Potential Prediction of the Risk for Developing Osteoarthritis.

Authors:  Muhammad Farooq Rai; Linda J Sandell; Bo Zhang; Rick W Wright; Robert H Brophy
Journal:  PLoS One       Date:  2016-05-12       Impact factor: 3.240

10.  Identification of novel biomarker as citrullinated inter-alpha-trypsin inhibitor heavy chain 4, specifically increased in sera with experimental and rheumatoid arthritis.

Authors:  Hoshimi Kawaguchi; Isao Matsumoto; Atsumu Osada; Izumi Kurata; Hiroshi Ebe; Yuki Tanaka; Asuka Inoue; Naoto Umeda; Yuya Kondo; Hiroto Tsuboi; Yasuhiro Shinkai; Yoshito Kumagai; Akihito Ishigami; Takayuki Sumida
Journal:  Arthritis Res Ther       Date:  2018-04-10       Impact factor: 5.156

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