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Abstract：
HIV/AIDS remains a global public health problem, and understanding the structure of social networks of people living with HIV/AIDS is of great importance to unravel HIV transmission, propose precision control and reduce new infections. This study aimed to investigate the epidemiological characteristics of HIV transmission in Fujian province, southeastern China from 2015 to 2020 based on HIV molecular network.
Newly diagnosed, treatment-naive HIV/AIDS patients were randomly sampled from Fujian province in 2015 and 2020. Plasma was sampled for in-house genotyping resistance test, and HIV molecular network was created using the HIV-TRACE tool. Factors affecting the inclusion of variables in the HIV molecular network were identified using univariate and multivariate logistic regression analyses.
A total of 1,714 eligible cases were finally recruited, including 806 cases in 2015 and 908 cases in 2020. The dominant HIV subtypes were CRF01_AE (41.7%) and CRF07_BC (38.3%) in 2015 and CRF07_BC (53. 3%) and CRF01_AE (29.1%) in 2020, and the prevalence of HIV drug resistance was 4.2% in 2015 and 5.3% in 2020. Sequences of CRF07_BC formed the largest HIV-1 transmission cluster at a genetic distance threshold of both 1.5 and 0.5%. Univariate and multivariate logistic regression analyses showed that ages of under 20 years and over 60 years, CRF07_BC subtype, Han ethnicity, sampling in 2015, absence of HIV drug resistance, married with spouse, sampling from three cities of Jinjiang, Nanping and Quanzhou resulted in higher proportions of sequences included in the HIV transmission molecular network at a genetic distance threshold of 1.5% (p < 0.05).
Our findings unravel the HIV molecular transmission network of newly diagnosed HIV/AIDS patients in Fujian province, southeastern China, which facilitates the understanding of HIV transmission patterns in the province.
Newly diagnosed, treatment-naive HIV/AIDS patients were randomly sampled from Fujian province in 2015 and 2020. Plasma was sampled for in-house genotyping resistance test, and HIV molecular network was created using the HIV-TRACE tool. Factors affecting the inclusion of variables in the HIV molecular network were identified using univariate and multivariate logistic regression analyses.
A total of 1,714 eligible cases were finally recruited, including 806 cases in 2015 and 908 cases in 2020. The dominant HIV subtypes were CRF01_AE (41.7%) and CRF07_BC (38.3%) in 2015 and CRF07_BC (53. 3%) and CRF01_AE (29.1%) in 2020, and the prevalence of HIV drug resistance was 4.2% in 2015 and 5.3% in 2020. Sequences of CRF07_BC formed the largest HIV-1 transmission cluster at a genetic distance threshold of both 1.5 and 0.5%. Univariate and multivariate logistic regression analyses showed that ages of under 20 years and over 60 years, CRF07_BC subtype, Han ethnicity, sampling in 2015, absence of HIV drug resistance, married with spouse, sampling from three cities of Jinjiang, Nanping and Quanzhou resulted in higher proportions of sequences included in the HIV transmission molecular network at a genetic distance threshold of 1.5% (p < 0.05).
Our findings unravel the HIV molecular transmission network of newly diagnosed HIV/AIDS patients in Fujian province, southeastern China, which facilitates the understanding of HIV transmission patterns in the province.
摘要：
■艾滋病毒/艾滋病仍然是一个全球性的公共卫生问题，了解艾滋病毒/艾滋病感染者的社会网络的结构对于解开艾滋病毒的传播非常重要，提出精确控制，减少新的感染。本研究旨在调查福建省HIV传播的流行病学特征,2015-2020年中国东南部基于HIV分子网络。
■新诊断，2015年和2020年，从福建省随机抽取未接受治疗的HIV/AIDS患者。对血浆进行内部基因分型抗性测试，HIV分子网络是使用HIV-TRACE工具创建的。使用单变量和多变量逻辑回归分析确定影响HIV分子网络中变量的因素。
■最终招募了1,714个符合条件的案例,包括2015年806例和2020年908例。2015年主要的HIV亚型为CRF01_AE(41.7%)和CRF07_BC(38.3%),CRF07_BC(53.3%)和2020年CRF01_AE(29.1%),2015年HIV耐药患病率为4.2%,2020年为5.3%。CRF07_BC序列在1.5％和0.5％的遗传距离阈值下形成了最大的HIV-1传播簇。单变量和多变量逻辑回归分析显示，年龄在20岁以下和60岁以上，CRF07_BC亚型，汉族,2015年抽样，没有艾滋病毒耐药性，与配偶结婚,从晋江三个城市取样，南平和泉州导致在1.5％的遗传距离阈值下，HIV传播分子网络中包含的序列比例更高（p<0.05）。
■我们的发现揭开了福建省新诊断HIV/AIDS患者的HIV分子传播网络，中国东南部,这有助于了解该省的艾滋病毒传播方式。
■新诊断，2015年和2020年，从福建省随机抽取未接受治疗的HIV/AIDS患者。对血浆进行内部基因分型抗性测试，HIV分子网络是使用HIV-TRACE工具创建的。使用单变量和多变量逻辑回归分析确定影响HIV分子网络中变量的因素。
■最终招募了1,714个符合条件的案例,包括2015年806例和2020年908例。2015年主要的HIV亚型为CRF01_AE(41.7%)和CRF07_BC(38.3%),CRF07_BC(53.3%)和2020年CRF01_AE(29.1%),2015年HIV耐药患病率为4.2%,2020年为5.3%。CRF07_BC序列在1.5％和0.5％的遗传距离阈值下形成了最大的HIV-1传播簇。单变量和多变量逻辑回归分析显示，年龄在20岁以下和60岁以上，CRF07_BC亚型，汉族,2015年抽样，没有艾滋病毒耐药性，与配偶结婚,从晋江三个城市取样，南平和泉州导致在1.5％的遗传距离阈值下，HIV传播分子网络中包含的序列比例更高（p<0.05）。
■我们的发现揭开了福建省新诊断HIV/AIDS患者的HIV分子传播网络，中国东南部,这有助于了解该省的艾滋病毒传播方式。
