Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu 610044, China.
School of Management, Chengdu University of Traditional Chinese Medicine/Healthy Sichuan Research Institute, Chengdu 611137, China.
Int J Environ Res Public Health. 2023 Jan 31;20(3):2523. doi: 10.3390/ijerph20032523.
The objective of this study was to understand the molecular transmission characteristics of newly reported HIV infections in the city of Pengzhou, Sichuan Province, to analyze the risk factors of transmission network and spatial clustering and the transmission characteristics, and to provide a scientific basis for precision prevention and intervention.
Anticoagulated whole blood was collected from newly reported HIV infections in Pengzhou from March 2019 to August 2021. After the plasma was isolated, the HIV-1 pol gene was amplified and sequenced by reverse transcriptase polymerase chain reaction (PCR). The obtained gene sequences were used to construct a maximum likelihood phylogenetic tree for the analysis of virus subtypes, and a molecular transmission network was constructed using the genetic distance method to evaluate the transmission pattern of people living with HIV/AIDS in Pengzhou. A logistic regression model was used to find out the potential risk factors for entering the molecular transmission network with the number of nodes ≥ 2. Spatial analysis is used to show the geographical pattern of the proportion of newly reported HIV infections entering the molecular transmission network, and a flow map is used to show the intensity of transmission within and between townships.
A total of 463 newly reported HIV-infection sequences were obtained in this study, including 237 cases (51.19%) of CRF01_ AE, 159 cases (34.34%) of CRF07_BC, 45 cases (9.72%) of B, 15 cases (3.24%) of CRF08_BC and 7 cases (1.5%) of others. The number of clusters was the highest when the gene distance was 0.009, with a total of 246 sequences entering the network, forming 54 clusters, and the network entry rate was 55.36%. There were 170 sequences with more than two nodes in the network sequence. The logistic regression showed that compared with age < 50 years old, age ≥ 50 years old has a higher risk of transmission (OR = 3.43, 95% CI = 2.06-5.71); compared with farmers, the risk of transmission within industry is lower (OR = 0.046, 95% CI = 0.25-0.87); and compared with CRF07_BC, CRF01_AE (OR = 6.09, 95% CI = 3.60-10.30) and B (OR = 20.31, 95% CI = 8.94-46.13) had a higher risk of transmission. Men aged ≥ 50 years are mainly clustered with women between 50 and 70 years of age. In addition to being clustered with gay men, there are nine (50%) and three (16.7%) chains of transmission between gay men and heterosexual men and women, respectively. In the geographical space, there is no hot spot clustering of the molecular propagation network. The subtype B was mainly distributed in the town of Tianpeng and formed transmission networks in eastern Pengzhou;0020CRF01_AE is mainly distributed in the town of Lichun and formed transmission networks in the west and north of Pengzhou.
This study reveals the characteristics and influencing factors of molecular network transmission in the region, as well as the spatial transmission characteristics of newly reported HIV infections in recent years, and reveals the geographical differences in HIV-1 transmission. The results provide a scientific basis for the development of local AIDS-specific intervention measures.
本研究旨在了解四川省彭州市新报告 HIV 感染的分子传播特征,分析传播网络和空间聚集的风险因素及传播特征,为精准防控提供科学依据。
收集 2019 年 3 月至 2021 年 8 月彭州市新报告的 HIV 感染者抗凝全血,分离血浆后采用逆转录酶聚合酶链反应(PCR)扩增并测序 HIV-1 pol 基因,对获得的基因序列进行最大似然法系统进化树分析,采用遗传距离法构建分子传播网络,评估彭州市 HIV 感染者的传播模式,采用 Logistic 回归模型分析节点数≥2 的进入分子传播网络的潜在危险因素。利用空间分析展示新报告 HIV 感染者进入分子传播网络的比例的地理格局,采用流图展示乡镇内和乡镇间的传播强度。
本研究共获得 463 例新报告 HIV 感染序列,其中 CRF01_AE 占 51.19%(237 例),CRF07_BC 占 34.34%(159 例),B 占 9.72%(45 例),CRF08_BC 占 3.24%(15 例),其他占 1.5%(7 例)。基因距离为 0.009 时聚类数最高,共 246 条序列进入网络,形成 54 个簇,网络进入率为 55.36%。网络序列中有 170 条序列具有两个以上节点。Logistic 回归显示,与年龄<50 岁相比,年龄≥50 岁的传播风险更高(OR=3.43,95%CI=2.065.71);与农民相比,行业内的传播风险较低(OR=0.046,95%CI=0.250.87);与 CRF07_BC 相比,CRF01_AE(OR=6.09,95%CI=3.6010.30)和 B(OR=20.31,95%CI=8.9446.13)的传播风险更高。≥50 岁的男性主要与 50~70 岁的女性聚类,除与男同性恋者聚类外,男同性恋者与异性恋男性和女性之间还有 9 条(50%)和 3 条(16.7%)传播链。在地理空间上,分子传播网络没有热点聚类。B 亚型主要分布在天彭镇,在彭州西部和北部形成传播网络;0020CRF01_AE 主要分布在立春镇,在彭州西部和北部形成传播网络。
本研究揭示了该地区分子网络传播的特征和影响因素,以及近年来新报告 HIV 感染的空间传播特征,揭示了 HIV-1 传播的地理差异。研究结果为制定当地艾滋病特定干预措施提供了科学依据。