Evidence map›Paper›PMID 40597723›Full record

ArticleBMC infectious diseases2025

High genetic diversity of HIV-1 pol region and molecular transmission networks among people living with HIV-1 in Haikou, South China, 2005-2022.

Dee Yu, Mu Li, Liangjia Wei, Kaokao Zhu, Rongjing Zhang, Tong Luo, Yi Ning, Hao Liang, Jing Zhang, Li Ye and 1 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Dee Yu *School of Public Health, Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, Hainan, 571199, China.
Mu Li *Guangxi Key Laboratory of AIDS Prevention and Treatment & Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, School of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, China.
Liangjia Wei *Guangxi Key Laboratory of AIDS Prevention and Treatment & Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, School of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, China.
Kaokao ZhuThe Fifth People's Hospital of Hainan Province, Affiliated Dermatology Hospital of Hainan Medical University, Haikou, Hainan, 570102, China.
Rongjing ZhangGuangxi Key Laboratory of AIDS Prevention and Treatment & Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, School of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, China.
Tong LuoGuangxi Key Laboratory of AIDS Prevention and Treatment & Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, School of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, China.
Yi NingSchool of Public Health, Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, Hainan, 571199, China.
Hao LiangGuangxi Key Laboratory of AIDS Prevention and Treatment & Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, School of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, China.
Jing ZhangSchool of Public Health, Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, Hainan, 571199, China. zhangjing@muhn.edu.cn.
Li YeGuangxi Key Laboratory of AIDS Prevention and Treatment & Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, School of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, China. yeli@gxmu.edu.cn.
Bingyu LiangGuangxi Key Laboratory of AIDS Prevention and Treatment & Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, School of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, China. liangbingyu@gxmu.edu.cn.

Funding

Foundation for Innovative Research Groups of the National Natural Science Foundation of China 82060610, 82103899the National Key R&D Program of China No.2022YFC2305001This study was supported by the Hainan Provincial Natural Science Foundation of China 824RC519
6 · The paper itself

Abstract

backgroundHainan is experiencing a continuous increase in newly diagnosed HIV-1 infections, highlighting the need for a comprehensive understanding of local transmission dynamics. This study aims to elucidate the genetic diversity and potential HIV-1 molecular transmission networks among people living with HIV-1 in Hainan, China.

methodsWe used the HIV-TRACE to infer the transmission dynamics of HIV-1 at a 1.5% gene distance threshold. The role of HIV-1 diversity in transmission networks was assessed through node influence measurement and centrality analysis.

resultsA total of 986 pol sequences were included, with CRF07_BC (43.71%) and CRF01_AE (37.12%) emerging as the predominant subtypes. Of these, 586 (59.43%) were clustered into the transmission networks, forming 83 clusters with 155 nodes having high transmission network scores (HTNS). CRF07_BC (adjusted odds ratio, aOR: 1.585, 95%CI: 1.189- 2.113) and CRF65_cpx (aOR: 9.513, 95%CI: 3.694- 24.499) were more likely to cluster in networks and exhibit nodal centrality than CRF01_AE. The CRF65_cpx (88.46%) were more likely to be HTNS (aOR: 57.302, 95%CI:16.869- 194.643) than CRF07_BC.

conclusionThis study highlights the high genetic diversity of HIV-1 and its central role in transmission networks, advocating for targeted prevention strategies and community engagement for high-risk transmission populations, particularly focusing on subtypes CRF07_BC and CRF65_cpx.

Indexed as

Genetic VariationHIV-1HIV Infectionspol Gene Products, Human Immunodeficiency VirusAdultChinaFemaleGenotypeHumansMaleMiddle AgedPhylogenyYoung Adultpol Gene Products, Human Immunodeficiency VirusCentrality analysisHIV-1Molecular epidemiologySubtypeTransmission network

Identifiers

PMID40597723
PMCPMC12210868

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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.