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      A functional polymorphism in the paired basic amino acid-cleaving enzyme 4 gene confers osteoarthritis risk in a population of Eastern China

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          Abstract

          Paired basic amino acid-cleaving enzyme 4 (PACE4), a proprotein convertase, is involved in the activation of aggrecanases (ADAMTS-4 and ADAMTS-5) in osteoarthritic and cytokine-stimulated cartilage. Activated aggrecanases cause aggrecan degradation and thus, contribute to osteoarthritis (OA). In this study, we investigated the association between PACE4 gene polymorphisms and OA risk. One single-nucleotide polymorphism (rs4965833) in the PACE4 gene was genotyped in 432 OA patients and 523 healthy controls using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Quantitative reverse transcription PCR (qRT-PCR) was used to determine the relative expression of PACE4 in blood samples from 90 OA patients (30 for each genotype). The relative expression level of PACE4 mRNA was higher in the GG genotype as compared to the AA/AG group. Moreover, the PACE4 rs4965833 polymorphism was associated with increased risk of OA, especially among individuals aged ≥55 years and with a body mass index ≥25. There was no significant association between the PACE4 rs4965833 polymorphism and clinical parameters of OA patients, such as erythrocyte sedimentation rate, C-reactive protein, Visual Analog Scale for pain and Lequesne’s index. In conclusion, the rs4965833 polymorphism in the 3’-UTR of PACE4 is associated with OA susceptibility.

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          Most cited references18

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          Risk factors and burden of osteoarthritis.

          Osteoarthritis (OA) is one of the most common joint disorders worldwide. Its prevalence is increasing because of the growing aging of the population in developed and developing countries as well as an increase in risk factors leading to OA, particularly obesity and a sedentary lifestyle. Risk factors of OA can be divided into person-level factors (age, gender, obesity, genetics and diet) and joint-level factors (injury, malalignment and abnormal loading of the joints) that interact in a complex manner. OA is the 11th cause of disability in the world. It is responsible for activity limitations, particularly walking, and affects participation and quality of life. Patients with OA are at greater risk of all-cause mortality, particularly for cardiovascular diseases, than the general population. This excess mortality is closely associated with disability level. Consequently, strategies to reduce burden through primary and secondary prevention programs are increasingly important.
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            MicroRNAs and epigenetics.

            MicroRNAs (miRNAs) comprise species of short noncoding RNA that regulate gene expression post-transcriptionally. Recent studies have demonstrated that epigenetic mechanisms, including DNA methylation and histone modification, not only regulate the expression of protein-encoding genes, but also miRNAs, such as let-7a, miR-9, miR-34a, miR-124, miR-137, miR-148 and miR-203. Conversely, another subset of miRNAs controls the expression of important epigenetic regulators, including DNA methyltransferases, histone deacetylases and polycomb group genes. This complicated network of feedback between miRNAs and epigenetic pathways appears to form an epigenetics-miRNA regulatory circuit, and to organize the whole gene expression profile. When this regulatory circuit is disrupted, normal physiological functions are interfered with, contributing to various disease processes. The present minireview details recent discoveries involving the epigenetics-miRNA regulatory circuit, suggesting possible biological insights into gene-regulatory mechanisms that may underlie a variety of diseases. © 2011 The Authors Journal compilation © 2011 FEBS.
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              Epigenetics and microRNAs.

              Epigenetics is defined as mitotically and meiotically heritable changes in gene expression that do not involve a change in the DNA sequence. Two major areas of epigenetics-DNA methylation and histone modifications-are known to have profound effects on controlling gene expression. DNA methylation is involved in normal cellular control of expression, and aberrant hypermethylation can lead to silencing of tumor-suppressor genes in carcinogenesis. Histone modifications control the accessibility of the chromatin and transcriptional activities inside a cell. MicroRNAs (miRNAs) are small RNA molecules, approximately 22 nucleotides long that can negatively control their target gene expression posttranscriptionally. There are currently more than 460 human miRNAs known, and the total number is predicted to be much larger. Recently, the expression of miRNAs has been definitively linked to cancer development, and miRNA profiles can be used to classify human cancers. miRNAs are encoded in our genome and are generally transcribed by RNA polymerase II. Despite the growing evidence for their importance in normal physiology, little is known about the regulation of miRNA expression. In this review, we will examine the relationship between miRNAs and epigenetics. We examine the effects of miRNAs on epigenetic machinery, and the control of miRNA expression by epigenetic mechanisms. Epigenetics is defined as heritable changes in gene expression that do not involve a change in DNA sequence.
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                Author and article information

                Journal
                Genet Mol Biol
                Genet. Mol. Biol
                gmb
                Genetics and Molecular Biology
                Sociedade Brasileira de Genética
                1415-4757
                1678-4685
                10 February 2020
                2020
                : 43
                : 1
                : e20190115
                Affiliations
                [ 1 ]Department of Orthopedics, Jintan Hospital Affiliated to Jiangsu University, Changzhou, China.
                [ 2 ]Department of Orthopedics, Wuxi No.9 People’s Hospital Affiliated to Soochow University, Wuxi, Jiangsu, China.
                [ 3 ]Department of Orthopedic Surgery, the Second Affiliated Hospital of Jiaxing University, Jiaxing, China.
                [ 4 ]Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
                [ 5 ]Department of Orthopedics, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, China.
                Author notes
                Send correspondence to Jin Li. Department of Orthopedic Surgery, the Second Affiliated Hospital of Jiaxing University, Jiaxing, 314000, China. E-mail: jxey_lijin@ 123456163.com
                Author information
                http://orcid.org/0000-0001-8038-9260
                http://orcid.org/0000-0002-0016-6065
                http://orcid.org/0000-0003-0254-563X
                http://orcid.org/0000-0002-0144-4688
                http://orcid.org/0000-0003-1164-7355
                http://orcid.org/0000-0001-9552-5616
                http://orcid.org/0000-0002-2561-6069
                http://orcid.org/0000-0003-4948-0191
                Article
                1678-4685-GMB-2019-0115 00104
                10.1590/1678-4685-GMB-2019-0115
                7197988
                32167127
                c6679879-3e34-479b-8cc6-1eff13367757
                Copyright © 2020, Sociedade Brasileira de Genética.

                License information: This is an open-access article distributed under the terms of the Creative Commons Attribution License (type CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original article is properly cited.

                History
                : 19 April 2019
                : 19 November 2019
                Page count
                Figures: 1, Tables: 5, Equations: 0, References: 19
                Categories
                Human and Medical Genetics

                Molecular biology
                ace4,osteoarthritis,bioinformatics analysis,single-nucleotide polymorphism
                Molecular biology
                ace4, osteoarthritis, bioinformatics analysis, single-nucleotide polymorphism

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