Evidence map›Paper›PMID 39325352›Full record

ArticleInfection2025

Insights into the molecular network characteristics of major HIV-1 subtypes in developed Eastern China: a study based on comprehensive molecular surveillance data.

Qin Fan, Jiafeng Zhang, Xiaohong Pan, Xiaobei Ding, Hui Xing, Yi Feng, Xingguang Li, Ping Zhong, Hehe Zhao, Wei Cheng and 7 more

Abstract read
In one paragraph

Article in Infection, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 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

17 authors.

Qin Fan *Department of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, Zhejiang, 310051, People's Republic of China.
Jiafeng Zhang *Department of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, Zhejiang, 310051, People's Republic of China.
Xiaohong PanDepartment of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, Zhejiang, 310051, People's Republic of China.
Xiaobei DingDepartment of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, Zhejiang, 310051, People's Republic of China.
Hui XingNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, P.R. China.
Yi FengNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, P.R. China.
Xingguang LiGuoke Ningbo Life Science and Health Industry Research Institute, Ningbo, 315000, P.R. China.
Ping ZhongDepartment of AIDS and STD, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 200336, P.R. China.
Hehe ZhaoNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, P.R. China.
Wei ChengDepartment of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, Zhejiang, 310051, People's Republic of China.
Jun JiangDepartment of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, Zhejiang, 310051, People's Republic of China.
Wanjun ChenDepartment of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, Zhejiang, 310051, People's Republic of China.
Xin ZhouDepartment of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, Zhejiang, 310051, People's Republic of China.
Zhihong GuoDepartment of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, Zhejiang, 310051, People's Republic of China.
Yan XiaDepartment of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, Zhejiang, 310051, People's Republic of China.
Chengliang ChaiDepartment of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, Zhejiang, 310051, People's Republic of China. chlchai@cdc.zj.cn.
Jianmin JiangDepartment of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, Zhejiang, 310051, People's Republic of China. jmjiang@cdc.zj.cn.

Funding

National Key Research and Development Program of China 2022YFC2305201Zhejiang Provincial Medicine and Health Science and Technology Plan 2022PY047
6 · The paper itself

Abstract

purposeThis study aimed to conduct a comprehensive molecular epidemiology study of major HIV-1 subtypes in developed Eastern China (Zhejiang Province).

methodsPlasma samples and epidemiological information were collected from 4180 newly diagnosed HIV-1 positive patients in Zhejiang Province in 2021. Pol sequences were obtained to determine the subtypes via multiple analytical tools. HIV-1 molecular networks were constructed on the basis of genetic distances to analyze transmission patterns among major subtypes. Furthermore, the birth-death skyline (BDSKY) model was utilized to estimate the transmission risks associated with large clusters (LCs).

resultsIn 4180 patients, 3699 (88.49%) pol sequences were successfully obtained and classified into four subtype groups. In the networks under an optimal genetic distance of 0.01 substitutions/site, the majority of links (74.52%, 1383/1856) involved individuals within the same city, highlighting the predominant role of local transmission in driving the HIV-1 epidemic. In the CRF07_BC, CRF01_AE, and others/URFs networks, men who have sex with men (MSM) were the primary sexual transmission population, with the younger MSM group (< 30 years old) exhibiting higher linkage frequencies. Within the CRF08_BC network, 93.98% of individuals were infected primarily through heterosexual contact and had a significantly greater risk of localized clustering than other subtypes did. Moreover, fifteen identified LCs were predominantly transmitted through commercial heterosexual contact (CHC), exhibiting localized clustering and high potential for sustained diffusion.

conclusionsOverall, our findings reveal a diverse and heterogeneous distribution of HIV-1 subtypes in Zhejiang Province, with noticeable variations in hotspots across different geographic areas and populations.

Indexed as

HIV-1HIV InfectionsAdolescentAdultChinaFemaleGenotypeHumansMaleMiddle AgedMolecular EpidemiologyPhylogenyYoung AdultClusterHIV-1LinkMolecular epidemiologyMolecular networkNodeSubtype

Identifiers

PMID39325352
PMCPMC12137464

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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.