Evidence map›Paper›PMID 36767889›Full record

ArticleInternational journal of environmental research and public health2023

Molecular Transmission Network of Newly Reported HIV Infections in Pengzhou, Sichuan Province: A Study Based on Genomics and Spatial Epidemiology.

Dan Yuan, Xia Zhong, Yiping Li, Qinying He, Na Li, Hanqi Li, Yang Liu, Ling Li, Linglin Zhang, Yi Yang and 1 more

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Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Dan YuanCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu 610044, China.ORCID 0000-0002-9074-8770
Xia ZhongSchool of Management, Chengdu University of Traditional Chinese Medicine/Healthy Sichuan Research Institute, Chengdu 611137, China.
Yiping LiCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu 610044, China.
Qinying HeCenter for AIDS/STD Control and Prevention, Chengdu Center for Disease Control and Prevention, Chengdu 610047, China.
Na LiCenter for AIDS/STD Control and Prevention, Pengzhou Center for Disease Control and Prevention, Chengdu 611930, China.
Hanqi LiDepartment of Geography & Anthropology, Louisiana State University, Baton Rouge, LA 70803, USA.
Yang LiuCenter for AIDS/STD Control and Prevention, Chengdu Center for Disease Control and Prevention, Chengdu 610047, China.
Ling LiCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu 610044, China.
Linglin ZhangCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu 610044, China.
Yi YangSchool of Management, Chengdu University of Traditional Chinese Medicine/Healthy Sichuan Research Institute, Chengdu 611137, China.
Shu LiangCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu 610044, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe 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.

methodsAnticoagulated 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.

resultsA 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.

conclusionThis 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.

Indexed as

Acquired Immunodeficiency SyndromeHIV-1HIV InfectionsHIV SeropositivityAgedChinaFemaleGenomicsGenotypeHumansMaleMiddle AgedMolecular EpidemiologyPhylogenyHIV-1molecular networkspatial analysis

Identifiers

PMID36767889
PMCPMC9915990

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.