Association of MICA gene polymorphisms and SNP loci with susceptibility to rosacea.

Q3 Medicine
Xiangli Yin, Quan Zhu, Ji Li, Yizhou Zou, Qizhi Luo
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引用次数: 0

Abstract

Objectives: The major histocompatibility complex class I chain-related gene A (MICA), a component of the human leukocyte antigen (HLA) gene complex, is involved in the pathogenesis of various diseases including cancers and autoimmune disorders. Rosacea, a chronic inflammatory skin disease with a complex pathogenesis, potentially influenced by genetic and autoimmune factors. This study aims to investigate the relationship among MICA gene polymorphisms, single nucleotide polymorphisms (SNPs), and susceptibility to rosacea, thereby offering new insights into the disease mechanism.

Methods: Peripheral blood DNA samples were collected from 84 patients with rosacea (rosacea group) and 223 healthy volunteers (control group) who visited the Dermatology Outpatient Department of Xiangya Hospital of Central South University between November 2017 and November 2019. MICA genotyping was performed using polymerase chain reaction-sequencing-based typing (PCR-SBT) and the next-generation sequencing (NGS), and the accuracy of the 2 methods was compared. The frequency distributions of MICA alleles between the 2 groups were analyzed. Amino acid clustering and SNP site analyses were conducted to identify haplotype-linked SNPs and to classify MICA polymorphic variants. Distribution differences of these classifications between groups were also examined.

Results: Blood tests in rosacea patients showed mildly elevated, with no significant changes in lymphocyte counts. Both PCR-SBT and NGS accurately identified MICA alleles. The most common alleles in the rosacea group were MICA*010:01, MICA*008:04, and MICA*019:01. The frequencies of MICA*002:01 and MICA*027 were significantly lower in the rosacea group compared to controls (6.55% vs 18.16% and 1.19% vs 5.38%, respectively), while and MICA*010:01 were significantly higher (7.74% vs 3.36% and 31.55% vs 18.61%, respectively; all P<0.05). Five short tandem repeat (STR) alleles were identified. Frequencies of MICA-A4 and MICA-A9 were lower in the rosacea group than in the control group (16.07% vs 23.32% and 7.74% vs 17.26%, respectively), whereas MICA-A6 was higher (10.12% vs 4.03%; all P<0.05). Clustering and SNP analysis identified 6 linked SNP sites, classifying MICA variants into Type I (C36+M129+K173+G206+W210+S215) and Type II (Y36+V129+E173+S206+R210+T215). Type I MICA variants were significantly associated with rosacea susceptibility.

Conclusions: MICA gene polymorphisms are associated with susceptibility to rosacea, and there are 6 linked SNP sites within the MICA gene. Based on this, MICA polymorphic variants are classified into Type I and Type II, with Type I being more closely associated with disease development of rosacea.

MICA基因多态性和SNP位点与酒渣鼻易感性的关联。
目的:主要组织相容性复合体I类链相关基因A (MICA)是人类白细胞抗原(HLA)基因复合体的一个组成部分,参与多种疾病的发病机制,包括癌症和自身免疫性疾病。酒渣鼻是一种慢性炎症性皮肤病,发病机制复杂,可能受遗传和自身免疫因素的影响。本研究旨在探讨MICA基因多态性、单核苷酸多态性(snp)与酒渣鼻易感性之间的关系,从而为该病的发病机制提供新的认识。方法:采集2017年11月至2019年11月在中南大学湘雅医院皮肤科门诊就诊的84例酒渣鼻患者(酒渣鼻组)和223名健康志愿者(对照组)的外周血DNA样本。MICA基因分型采用基于聚合酶链反应测序的分型(PCR-SBT)和下一代测序(NGS),并比较两种方法的准确性。分析两组间MICA等位基因的频率分布。通过氨基酸聚类和SNP位点分析鉴定单倍型连锁SNP,并对MICA多态性变异进行分类。这些分类在组间的分布差异也被检查。结果:酒渣鼻患者血液检查显示轻度升高,淋巴细胞计数无明显变化。PCR-SBT和NGS均能准确鉴定MICA等位基因。酒渣鼻组最常见的等位基因为MICA*010:01、MICA*008:04和MICA*019:01。MICA*002:01和MICA*027的频率在酒渣鼻组显著低于对照组(分别为6.55%比18.16%和1.19%比5.38%),而MICA*010:01的频率显著高于对照组(分别为7.74%比3.36%和31.55%比18.61%;酒渣鼻组的PMICA-A4和MICA-A9均低于对照组(分别为16.07%比23.32%和7.74%比17.26%),而MICA-A6高于对照组(10.12%比4.03%;所有P36+M129+K173+G206+W210+S215)和II型(Y36+V129+E173+S206+R210+T215)。I型MICA变异与酒渣鼻易感性显著相关。结论:MICA基因多态性与酒渣鼻易感性相关,MICA基因内存在6个连锁SNP位点。基于此,MICA多态变异分为I型和II型,其中I型与酒渣鼻的疾病发展关系更为密切。
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来源期刊
中南大学学报(医学版)
中南大学学报(医学版) Medicine-Medicine (all)
CiteScore
1.00
自引率
0.00%
发文量
8237
期刊介绍: Journal of Central South University (Medical Sciences), founded in 1958, is a comprehensive academic journal of medicine and health sponsored by the Ministry of Education and Central South University. The journal has been included in many important databases and authoritative abstract journals at home and abroad, such as the American Medline, Pubmed and its Index Medicus (IM), the Netherlands Medical Abstracts (EM), the American Chemical Abstracts (CA), the WHO Western Pacific Region Medical Index (WPRIM), and the Chinese Science Citation Database (Core Database) (CSCD); it is a statistical source journal of Chinese scientific and technological papers, a Chinese core journal, and a "double-effect" journal of the Chinese Journal Matrix; it is the "2nd, 3rd, and 4th China University Excellent Science and Technology Journal", "2008 China Excellent Science and Technology Journal", "RCCSE China Authoritative Academic Journal (A+)" and Hunan Province's "Top Ten Science and Technology Journals". The purpose of the journal is to reflect the new achievements, new technologies, and new experiences in medical research, medical treatment, and teaching, report new medical trends at home and abroad, promote academic exchanges, improve academic standards, and promote scientific and technological progress.
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