亚洲慢性阻塞性肺病患者血管紧张素转换酶 D 基因频率增加:最新的 Meta 分析。

IF 1.9 4区 医学 Q3 RESPIRATORY SYSTEM
Xiaozheng Wu, Wen Li, Zhenliang Luo, Yunzhi Chen
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引用次数: 0

摘要

目前,血管紧张素转换酶(ACE)I/D 多态性被认为与慢性阻塞性肺病(COPD)的发病机制有关。然而,该多态性与不同种族人群罹患慢性阻塞性肺病的风险之间的关系仍不明确。本研究旨在通过检索PubMed、Embase、MEDLINE、CBM、CNKI、万方和VIP中文科学数据库,收集2023年2月10日之前发表的文献,并通过绘制森林图显示分析结果,从而对二者之间的相关性进行最新的荟萃分析。同时,还进行了发表偏倚、敏感性分析和试验序列分析(TSA),以评估结果的稳定性和可靠性。在总体人群中,DD 与 II 模型的结果显示与慢性阻塞性肺病的风险有关([OR] = 1.30,95% CI [1.08,1.56]),其他遗传模型中没有相关性(P > 0.05)。在白种人中,所有遗传模型的结果都显示没有关联(P > 0.05)。在亚洲人中,D 与 I、DD 与 II 和 DD 与 II + ID 模型的结果显示与慢性阻塞性肺病的风险有关(D 与 I:[OR] = 1.48,95% CI [1.14,1.93];DD 与 II:[OR] = 2.04,95% CI [1.53,2.72];DD vs. II + ID:[OR] = 2.19,95% CI [1.45,3.29]),而 ID vs. II 和 DD + ID vs. II 模型的结果显示没有关联(P > 0.05)。因此,ACE I/D 基因多态性的 D 等位基因和 "DD "基因型变异与亚洲人的慢性阻塞性肺病易感性有关,但与白种人无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Increased Frequency of Angiotensin-Converting Enzyme D Allele in Asian Patients With Chronic Obstructive Pulmonary Disease: An Updated Meta-Analysis

Increased Frequency of Angiotensin-Converting Enzyme D Allele in Asian Patients With Chronic Obstructive Pulmonary Disease: An Updated Meta-Analysis

At present, the angiotensin-converting enzyme (ACE) I/D polymorphism was considered to be associated to the pathogenesis of chronic obstructive pulmonary disease (COPD). However, the association between it and the risk of COPD in different ethnic groups is still unclear. The purpose of this study is to conduct an updated meta-analysis of the association between them; collect literatures published before 10 February 2023 by searching PubMed, Embase, MEDLINE, CBM, CNKI, Wanfang, and VIP Chinese scientific databases; and display the analysis results by drawing forest plots. At the same time, publication bias, sensitivity analysis, and trial sequential analysis (TSA) were performed to evaluate the stability and reliability of the results. In the overall population, the result of the DD versus II model showed the association with the risk of COPD ([OR] = 1.30, 95% CI [1.08, 1.56]), and there were no associations in other genetic models (p > 0.05). In Caucasians, the results of all genetic models showed no associations (p > 0.05). In Asians, the results of D versus I, DD versus II, and DD versus II + ID models showed the associations with the risk of COPD (D vs. I: [OR] = 1.48, 95% CI [1.14, 1.93]; DD vs. II: [OR] = 2.04, 95% CI [1.53, 2.72]; DD vs. II + ID: [OR] = 2.19, 95% CI [1.45, 3.29]), while the results of ID versus II and DD + ID versus II models showed no associations (p > 0.05). Therefore, the D allele and “DD” genotype variation of the ACE I/D gene polymorphism are associated with susceptibility to COPD in Asians but not in Caucasians.

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来源期刊
Clinical Respiratory Journal
Clinical Respiratory Journal 医学-呼吸系统
CiteScore
3.70
自引率
0.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: Overview Effective with the 2016 volume, this journal will be published in an online-only format. Aims and Scope The Clinical Respiratory Journal (CRJ) provides a forum for clinical research in all areas of respiratory medicine from clinical lung disease to basic research relevant to the clinic. We publish original research, review articles, case studies, editorials and book reviews in all areas of clinical lung disease including: Asthma Allergy COPD Non-invasive ventilation Sleep related breathing disorders Interstitial lung diseases Lung cancer Clinical genetics Rhinitis Airway and lung infection Epidemiology Pediatrics CRJ provides a fast-track service for selected Phase II and Phase III trial studies. Keywords Clinical Respiratory Journal, respiratory, pulmonary, medicine, clinical, lung disease, Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Embase (Elsevier) Health & Medical Collection (ProQuest) Health Research Premium Collection (ProQuest) HEED: Health Economic Evaluations Database (Wiley-Blackwell) Hospital Premium Collection (ProQuest) Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) ProQuest Central (ProQuest) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier)
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