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Association study between matrix metalloproteinase‐3 gene (MMP3) polymorphisms and ankylosing spondylitis susceptibility

BACKGROUND: Ankylosing spondylitis (AS) is the second most common cause of inflammatory arthritis worldwide affecting the axial skeleton. Single nucleotide polymorphisms (SNPs) of matrix metalloproteinase‐3 (MMP3) in the development of AS has few been investigated in Chinese population. METHODS: A t...

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Detalles Bibliográficos
Autores principales: Zhu, Yong, Li, Shunan, Huang, Zhi, Xing, Wenhua, Li, Feng, Da, Yifeng, Xue, Jianmin, Li, Manglai, Sun, Ke, Jia, Haiyu, Yang, Xuejun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625098/
https://www.ncbi.nlm.nih.gov/pubmed/31124320
http://dx.doi.org/10.1002/mgg3.752
Descripción
Sumario:BACKGROUND: Ankylosing spondylitis (AS) is the second most common cause of inflammatory arthritis worldwide affecting the axial skeleton. Single nucleotide polymorphisms (SNPs) of matrix metalloproteinase‐3 (MMP3) in the development of AS has few been investigated in Chinese population. METHODS: A total of 362 patients with AS and 362 healthy controls were enrolled in the study. Five SNPs in MMP3 genotypes were identified by Agena MassARRAY. Chi‐squared tests and genetic model were used to evaluate associations. RESULTS: rs522616 had a significant risk of AS development compared to those with the TT genotype (p = 0.008). By multiple logistic regression models analysis, in codominant model, rs522616 CT genotypes also had a 1.44‐fold risk (95% CI = 1.06–1.96, p = 0.008) for AS development compared to those with TT genotypes. In recessive model, the CC genotypes was a significantly reduced AS risk for individuals with TT/CT genotype (OR = 0.64; 95% CI = 0.41–0.99, p = 0.040). CONCLUSION: The present study suggests that MMP3 rs522616 polymorphism is associated with AS susceptibility and MMP3 might be a potential diagnostic biomarker for AS. Further independent studies with larger cohorts are warranted to validate our findings in different populations.