中国艾滋病性病2024,Vol.30Issue(11) :1111-1116.DOI:10.13419/j.cnki.aids.2024.11.01

四川省彭州市HIV-1 CRF01_AE毒株分子网络特征分析

Molecular network characteristics of HIV-1 CRF01_AE strain in Pengzhou,Sichuan Province

何佳 袁丹 段振华 龚芳红 李苑 李一平 李娜 杨洪 周玚 廖瑞平 杨碧辉 韩金书 梁姝 杨义
中国艾滋病性病2024,Vol.30Issue(11) :1111-1116.DOI:10.13419/j.cnki.aids.2024.11.01

四川省彭州市HIV-1 CRF01_AE毒株分子网络特征分析

Molecular network characteristics of HIV-1 CRF01_AE strain in Pengzhou,Sichuan Province

何佳 1袁丹 2段振华 3龚芳红 3李苑 4李一平 2李娜 5杨洪 2周玚 2廖瑞平 5杨碧辉 4韩金书 6梁姝 2杨义1
扫码查看

作者信息

  • 1. 成都中医药大学管理学院/健康四川研究院,成都 611137
  • 2. 四川省疾病预防控制中心,成都 610041
  • 3. 成都市疾病预防控制中心,成都 610047
  • 4. 成都中医药大学公共卫生学院,成都 611137
  • 5. 彭州市疾病预防控制中心,四川彭州 611900
  • 6. 成都中医药大学临床医学院,成都 611137
  • 折叠

摘要

目的 了解彭州市HIV-1 CRF01_AE毒株的分子网络特征及相关因素,为精准防控提供参考依据.方法 收集2019年3月至2022年8月彭州市新报告HIV-1感染者血样,采用巢式PCR法扩增样本pol区基因并测序,使用基因距离法构建分子网络并分析其特征,采用x2检验和Logistic回归分析入网的影响因素.结果 采集目标人群血样699份,经扩增获得667条序列,其中CRF01_AE毒株序列335条,基因距离在0.7%时CRF01_AE毒株成簇数最高,186条序列入网,入网率为55.52%,形成45个簇,在彭州市辖的12个街道/乡镇均有分布.入网影响因素分析结果显示,相比于19~49岁,≥50岁(OR=1.57,95%CI:1.78~3.17)的感染者更容易进入网络;相比于高中及以上文化程度,小学及以下文化程度(OR=4.64,95%CI:1.48~14.59)的感染者更容易进入网络;相比于LC镇,DJS镇(OR=0.22,95%CI:0.05~0.99)、GH镇(OR=0.19,95%CI:0.04~0.80)和TP街道(OR=0.34,95%CI:0.16~0.76)的感染者更不容易进入网络.网络中存在高危传播者45例(24.19%,45/186),以男性(68.89%,31/45)、≥50岁(93.33%,42/45)、异性性传播(100.00%,45/45)为主;高风险分子簇3个,分别包含26、22和19例感染者,49.25%(33/67)的感染者存在非婚商业异性性接触史.结论 彭州市HIV-1 CRF01_AE毒株传播风险较高,传播范围较广,应加强对CRF01_AE毒株的长期动态监测,针对重点街道/乡镇和高风险传播者采取精准防控,加强对商业异性性行为的干预,减少新发感染.

Abstract

Objective To investigate the molecular network characteristics and related influencing factors of the HIV-1 CRF01_AE strain in Pengzhou,providing a reference for precise prevention and control.Methods Blood samples were collected from patients with newly reported HIV-1 infections in Pengzhou between March 2019 and August 2022.The pol gene regions of the samples were amplified using nested PCR and sequenced.A molecular network was constructed using genetic distance methods,and its characteristics were analyzed.Factors influencing network entry and was assessed through x2 tests and logistic regression analysis.Results In total,699 blood samples were collected,yielding 667 sequences,of which 335 were identified as CRF01_AE strains.The number of clusters peaked at a genetic distance of 0.70%,with 186 sequences entering the network,resulting in a network entry rate of 55.52%.These sequences formed 45 clusters,distributed across the 12 streets/towns in Pengzhou.Logistic regression analysis revealed that individuals aged ≥50 years(OR=1.57,95%CI:1.78-3.17)were more likely to enter the network compared to those aged 19-49.Individuals with primary education or below(OR=4.64,95%CI:1.48-14.59)were more likely to enter the network compared to those with high school education or above.Compared to LC Town,individuals from DJS Town(OR=0.22,95%CI:0.05-0.99),GH Town(OR=0.19,95%CI:0.04-0.80),and TP Street(OR=0.34,95%CI:0.16-0.76)were less likely to enter the network.There were 45 high-risk transmitters(24.19%,45/186)within the network,and they were predominantly male(68.89%,31/45),aged ≥50 years(93.33%,42/45),and exclusively involved in heterosexual transmission(100.00%,45/45).Three high-risk clusters comprising 26,22,and 19 individuals were identified.A total of 49.25%(33/67)of the individuals in these clusters reported a history of non-marital commercial heterosexual contact.Conclusions The transmission risk of HIV-1 CRF01_AE strains in Pengzhou is high and widespread.Continuous dynamic monitoring of CRF01_AE strains should be strengthened,and targeted prevention and control measures should be implemented in key areas of high-risk transmission.Interventions aimed at reducing commercial heterosexual contact are necessary to decrease the incidence of new infections.

关键词

1型艾滋病病毒/CRF01_AE毒株/分子网络/高危传播者

Key words

HIV-1/CRF01_AE strain/molecular network/high-risk transmitters

引用本文复制引用

出版年

2024
中国艾滋病性病
中国性病艾滋病防治协会

中国艾滋病性病

CSTPCDCSCD北大核心
影响因子:1.292
ISSN:1672-5662
段落导航相关论文