Evidence map›Paper›PMID 41709173›Full record

ArticleBMC infectious diseases2026

HIV-1 genetic diversity and pretreatment drug resistance in Xishuangbanna, a China-Myanmar-Laos border region.

Jieyan He, Yao Wei, Yuhua Shi, Min Yang, Huichao Chen, Jie Dai, Jianyun Wang, Xiaomei Jin, Zhijun Zeng, Pengyan Sun and 5 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Jieyan He *Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, China.
Yao Wei *Division for AIDS/STD Control and Prevention, Xishuangbanna Center for Disease Control and Prevention, Xishuangbanna, Yunnan, China.
Yuhua Shi *Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, Yunnan, China.
Min Yang *Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, Yunnan, China.
Huichao ChenInstitute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, Yunnan, China.
Jie DaiInstitute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, Yunnan, China.
Jianyun WangDivision for AIDS/STD Control and Prevention, Xishuangbanna Center for Disease Control and Prevention, Xishuangbanna, Yunnan, China.
Xiaomei JinInstitute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, Yunnan, China.
Zhijun ZengInstitute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, Yunnan, China.
Pengyan SunInstitute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, Yunnan, China.
Liru FuInstitute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, Yunnan, China.
Yanling MaInstitute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, Yunnan, China.
Manhong JiaYunnan International Joint Laboratory of Public Health and Disease Control, Yunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, Yunnan, China. jiamanhong@hotmail.com.
Wenfei DingYunnan International Joint Laboratory of Public Health and Disease Control, Yunnan Center for Disease Control and Prevention (Yunnan Academy of Preventive Medicine), Kunming, Yunnan, China. yndwf@163.com.
Min ChenYunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan, China. chenminyx@hotmail.com.

Funding

The Key Research and Development Program of Yunnan Province 202503AP140034The National Natural Science Foundation of China 82160635The Yunnan Health Training Project of High Level Talents L-2024020
6 · The paper itself

Abstract

backgroundChina’s HIV-1 epidemic originated in the border regions of Yunnan Province in the late 1980s. Although domestic transmission has been effectively contained in recent years, the border regions continue to face public health challenges. In order to track the dynamic transmission of HIV-1, a molecular epidemiology study was conducted in a China-Myanmar-Laos border area.

methodsBetween 2022 and 2023, 570 individuals newly diagnosed with HIV/AIDS were recruited in Xishuangbanna prefecture. The viral gene sequences were obtained through amplification and sequencing. The characteristics of the HIV-1 genotype distribution, genetic drug resistance and molecular networks were analyzed to identify relevant influencing factors.

resultsOf 486 samples that were genotyped, 16 different HIV-1 genotypes were identified. The predominant strains were CRF08_BC (41.5%), CRF01_AE (20.1%), CRF07_BC (16.6%) and unique recombinant forms (URFs, 13.1%). The main HIV-1 genotypes exhibited specific associations with demographic factors, including registered residence, age, education level, infection status and reported area. The analysis of the dynamic molecular network revealed that local registered residence and age groups of 29 years and under and 50–59 years, were linked to network expansion. The overall prevalence of sequences carrying drug resistance-associated mutations (DRMs) was 39.1% (195/499). HIV-1 genotypes were significantly associated with the distribution of DRMs. High-frequency resistance mutations exhibited genotype-specific distributions: V179D/VD and V179E of NNRTIs were significantly associated with CRF08_BC and “other” genotypes, respectively; S68G/SG of NRTIs was significantly associated with CRF01_AE. Drug-resistant strains were most prevalent among divorced/widowed individuals (OR = 1.799, 95% CI: 1.025–3.157) and in those infected with CRF08_BC (OR = 2.981, 95% CI: 1.434–6.194). URFs were found to have a significantly higher risk of resistance to PIs (OR = 12.649, P = 0.002), while CRF08_BC was found to have a higher risk of resistance to NNRTIs (OR = 4.138, P = 0.004).

conclusionThis study revealed the genetic diversity of HIV-1 and increasing drug resistance, as well as the transmission dynamics, in a high-risk transnational border region. The findings emphasized the importance of HIV-1 molecular surveillance in exploring high-risk populations and developing public health strategies to reduce HIV-1 transmission and control drug resistance in this area.

Indexed as

Anti-HIV AgentsDrug Resistance, ViralGenetic VariationHIV-1HIV InfectionsAdolescentAdultChinaFemaleGenotypeHumansMaleMiddle AgedMolecular EpidemiologyMyanmarPhylogenyAnti-HIV AgentsBorder regionChinahuman immunodeficiency virus 1Molecular networkPretreatment drug resistance

Identifiers

PMID41709173
PMCPMC13020229

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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.