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      Association of ADAMTS4 and ADAMTS5 polymorphisms with musculoskeletal degenerative diseases: a systematic review and meta-analysis

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          Abstract

          Objective: This meta-analysis and systematic review was performed with the aim of investigating the association between a disintegrin and metalloproteinase with thrombospondin motif (ADAMTS)4, AMDMTS5 polymorphisms and risk of musculoskeletal degenerative diseases.

          Methods: PubMed, EMBASE, ISI Web of Science, Wanfang and CNKI were searched from their inception until May 2018 to identify eligible studies. Data from individual studies were extracted using a standardized data collection sheet. The estimate of association between ADAMTS4, AMDMTS5 polymorphisms and risk of musculoskeletal degenerative diseases was expressed as odds ratio (OR) along with its related 95% confidence interval (95%CI) under an allelic model of inheritance. Meta-analysis was conducted using RevMan 5.3 software. Subgroup-analyses by ethnicity and type of diseases were performed.

          Results: Eight studies including ten cohorts were included in this meta-analysis. The meta-analyses results based on seven studies showed that rs226794 in ADAMTS5 gene was not associated with risk of musculoskeletal degenerative diseases (A vs. G: OR 1.07; 95%CI 0.97–1.19; P=0.16). Rs2830585 in ADAMTS5 was significantly associated with musculoskeletal degenerative diseases in only Asians (OR 1.41, 95%CI 1.18–1.68; P=0.0001), but not in Caucasians. Since only two of the collected studies referred to ADAMTS4, we did not perform meta-analysis for these comparisons.

          Conclusion: Taken together, rs226794 and rs2830585 in ADAMTS5 gene were not associated with musculoskeletal degenerative diseases in overall population, but there seemed to be an ethnicity-dependent effect of rs2830585 in the risk of musculoskeletal degenerative diseases. Insufficient evidence was found to support the association of other single nucleotide polymorphisms and musculoskeletal degenerative diseases.

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          PROMO: detection of known transcription regulatory elements using species-tailored searches.

          Xavier Messeguer, Ruth Escudero, Domènec Farré … (2002)
          We have developed a set of tools to construct positional weight matrices from known transcription factor binding sites in a species or taxon-specific manner, and to search for matches in DNA sequences.
          Article 0 comments Cited 473 times – based on 0 reviews     Review now
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            Pathogenesis and management of pain in osteoarthritis.

            Paul A Dieppe, L Stefan Lohmander (2005)
            The term osteoarthritis describes a common, age-related, heterogeneous group of disorders characterised pathologically by focal areas of loss of articular cartilage in synovial joints, associated with varying degrees of osteophyte formation, subchondral bone change, and synovitis. Joint damage is caused by a mixture of systemic factors that predispose to the disease, and local mechanical factors that dictate its distribution and severity. Various genetic abnormalities have been described, but most sporadic osteoarthritis probably depends on minor contributions from several genetic loci. Osteoarthritic joint damage may be associated with clinical problems, but the severity of joint disease is only weakly related to that of the clinical problem. For this reason the associations and pathogenesis of pain are in as much need of investigation as joint damage. Subchondral bone and synovium may be responsible for nociceptive stimuli, and peripheral neuronal sensitisation is an important feature, and can result in normal activities (such as walking) causing pain. Central pain sensitisation can also occur, and psychosocial factors are important determinants of pain severity. We present a stepwise approach to the management of osteoarthritis.
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              Prevalence and pattern of lumbar magnetic resonance imaging changes in a population study of one thousand forty-three individuals.

              Kenneth M. C. Cheung, Jaro Karppinen, Danny Chan … (2009)
              A cross-sectional population study of magnetic resonance imaging (MRI) changes. OBJECTIVE.: To examine the pattern and prevalence of lumbar spine MRI changes within a southern Chinese population and their relationship with back pain. Previous studies on MRI changes and back pain have used populations of asymptomatic individuals or patients presenting with back pain and sciatica. Thus, the prevalence and pattern of intervertebral disc degeneration within the population is not known. Lumbar spine MRIs were obtained in 1043 volunteers between 18 to 55 years of age. MRI changes including disc degeneration, herniation, anular tears (HIZ), and Schmorl's nodes were noted by 2 independent observers. Differences were settled by consensus. Disc degeneration was graded using Schneiderman's classification, and a total score (DDD score) was calculated by the summation of the Schneiderman's score for each lumbar level. A K-mean clustering program was used to group individuals into different patterns of degeneration. Forty percent of individuals under 30 years of age had lumbar intervertebral disc degeneration (LDD), the prevalence of LDD increasing progressively to over 90% by 50 to 55 years of age. There was a positive correlation between the DDD score and low back pain. L5-S1 and L4-L5 were the most commonly affected levels. Apart from the usual patterns of degeneration, some uncommon patterns of degeneration were identified, comprising of subjects with skip level lesions (intervening normal levels) and isolated upper or mid lumbar degeneration. LDD is common, and its incidence increases with age. In a population setting, there is a significant association of LDD on MRI with back pain.
              Article 0 comments Cited 268 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (nlm-ta): Biosci Rep
                Journal ID (iso-abbrev): Biosci. Rep
                Journal ID (hwp): ppbioscirep
                Journal ID (publisher-id): BSR
                Title: Bioscience Reports
                Publisher: Portland Press Ltd.
                ISSN (Print): 0144-8463
                ISSN (Electronic): 1573-4935
                Publication date (Electronic preprint): 28 October 2018
                Publication date Collection: 21 December 2018
                Publication date (Electronic): 30 November 2018
                Volume: 38
                Issue: 6
                Electronic Location Identifier: BSR20181619
                Affiliations
                [1 ]Department of Orthopedics, Shanxi Dayi Hospital, Taiyuan, Shanxi 030032, China
                [2 ]Department of Endocrinology, the First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
                Author notes
                Correspondence: Fei Gao ( gaofei13935110660@ 123456hotmail.com )
                Author information
                http://orcid.org/0000-0003-0774-4689
                Article
                DOI: 10.1042/BSR20181619
                PMC ID: 6265622
                PubMed ID: 30369484
                SO-VID: 9f1de29e-bf94-405c-8eb3-1c2d02e3837f
                Copyright © © 2018 The Author(s).
                License:

                This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY).

                History
                Date received : 13 September 2018
                Date revision received : 15 October 2018
                Date accepted : 23 October 2018
                Page count
                Pages: 12
                Categories
                Subject: Research Articles
                Subject: Research Article
                Subject: 38
                Subject: 13
                Subject: 17

                ScienceOpen disciplines: Life sciences
                Keywords: adamts4,adamts5,lumbar disc degeneration,meta analysis,osteoarthritis,single nucleotide polymorphisms
                Data availability:
                ScienceOpen disciplines: Life sciences
                Keywords: adamts4, adamts5, lumbar disc degeneration, meta analysis, osteoarthritis, single nucleotide polymorphisms

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