Evidence map›Paper›PMID 40121295›Full record

ArticleScientific reports2025

Unraveling HIV-1 transmission patterns through molecular surveillance in a hotspot in Yunnan Province, China.

Hui Yang, Huichao Chen, Enlong Yao, Jie Dai, Yu Han, Xiaomei Jin, Min Yang, Zhijun Zeng, Pengyan Sun, Yuhua Shi and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

13 authors.

Hui Yang *Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, Yunnan Province, China.
Huichao Chen *Yunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, No 1177, Xianghe Street, Chenggong District, Kunming, 650500, Yunnan Province, China.
Enlong Yao *Division for AIDS/STD Control and Prevention, Honghe Center for Disease Control and Prevention, Honghe, Yunnan Province, China.
Jie DaiYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, No 1177, Xianghe Street, Chenggong District, Kunming, 650500, Yunnan Province, China.
Yu HanYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, No 1177, Xianghe Street, Chenggong District, Kunming, 650500, Yunnan Province, China.
Xiaomei JinYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, No 1177, Xianghe Street, Chenggong District, Kunming, 650500, Yunnan Province, China.
Min YangYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, No 1177, Xianghe Street, Chenggong District, Kunming, 650500, Yunnan Province, China.
Zhijun ZengYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, No 1177, Xianghe Street, Chenggong District, Kunming, 650500, Yunnan Province, China.
Pengyan SunYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, No 1177, Xianghe Street, Chenggong District, Kunming, 650500, Yunnan Province, China.
Yuhua ShiYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, No 1177, Xianghe Street, Chenggong District, Kunming, 650500, Yunnan Province, China.
Yanling MaYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, No 1177, Xianghe Street, Chenggong District, Kunming, 650500, Yunnan Province, China. mayanling68@aliyun.com.
Manhong JiaYunnan Provincial Key Laboratory of Public Health and Biosafety & Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, No 1177, Xianghe Street, Chenggong District, Kunming, 650500, Yunnan Province, China. jiamanhong@hotmail.com.
Min ChenYunnan Provincial Key Laboratory of Public Health and Biosafety & Health Laboratory Center, Yunnan Center for Disease Control and Prevention, No 1177, Xianghe Street, Chenggong District, Kunming, 650500, Yunnan Province, China. chenminyx@hotmail.com.

Funding

National Natural Science Foundation of China 82160635Revitalizing Yunnan Excellent Talents Support Plan Famous Doctor Special ProjectYunnan Health Training Project of High Level Talents L-2024020
6 · The paper itself

Abstract

Honghe Prefecture, Yunnan Province, China, is a key area affected by HIV/AIDS. Given the high number of infected individuals, understanding HIV transmission in this region is crucial to controlling the epidemic in Yunnan Province. A molecular epidemiology study with 1004 newly diagnosed HIV-1 cases in 2022 was conducted to characterize transmission and guide targeted interventions. Of the 833 samples genotyped, nine HIV-1 genotypes were identified, with CRF08_BC (56.7%), URFs (17.8%), CRF07_BC (13.9%) and CRF01_AE (7.1%) being the most prevalent. These genotypes were widely distributed but concentrated in the center and east of the prefecture. Molecular network analysis showed varying clustering rates among counties, with Luxi County having the highest and Honghe County the lowest. Low education levels were associated with higher clustering. Cross-county transmission patterns were revealed, with strong links between specific counties. Of the three spatial subdivisions identified by the cohesive subgroup analysis, subgroup I included eight counties running from northeast to southwest. Persons aged 50-59 years and ethnic minorities were more likely to be identified in cross-county transmission. Notably, the overall prevalent level of HIV-1 pre-treatment drug resistance was 6.2% (50/809), with higher levels in Luxi (18.2%, 8/44), Hekou (14.3%, 3/21) and Yuanyang (10.9%, 13/119). This study investigated HIV-1 transmission patterns using molecular network analysis in a hotspot of HIV transmission, and informed the application of HIV molecular surveillance in practice.

Indexed as

HIV-1HIV InfectionsAdolescentAdultAgedChinaFemaleGenotypeHumansMaleMiddle AgedMolecular EpidemiologyYoung AdultGenotypesHIV-1Molecular networkPre-treatment drug resistanceSpatial analysis

Identifiers

PMID40121295
PMCPMC11929831

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.