Evidence map›Paper›PMID 42338540›Full record

ArticleFrontiers in public health2026

Characterization of sexually acquired HIV-1 transmission networks and genetic variation in northern frontier China, 2021-2024.

Yu Liu, Hanping Li, Baobao Bai, Yao Li, Ziwei Liu, Xiaodong Liu, Juan Du, Yongjian Liu, Lei Jia, Jingwan Han and 4 more

Abstract read
In one paragraph

Article in Frontiers in public health, 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
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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

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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

14 authors.

Yu Liu *School of Public Health, Inner Mongolia Medical University, Hohhot, China.
Hanping Li *State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.
Baobao BaiDepartment of HIV/AIDS Control and Prevention, Inner Mongolia Center for Disease Control and Prevention (Inner Mongolia Academy of Preventive Medicine), Hohhot, China.
Yao LiDepartment of HIV/AIDS Control and Prevention, Inner Mongolia Center for Disease Control and Prevention (Inner Mongolia Academy of Preventive Medicine), Hohhot, China.
Ziwei LiuState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.
Xiaodong LiuCenter for STD and AIDS Prevention and Control, Baotou Center for Disease Control and Prevention, Baotou, China.
Juan DuMicrobiology Laboratory, Baotou Center for Disease Control and Prevention, Baotou, China.
Yongjian LiuState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.
Lei JiaState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.
Jingwan HanState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.
Bohan ZhangState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.
Jingyun LiState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.
Lin LiState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.
Hong YangSchool of Public Health, Inner Mongolia Medical University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In Baotou, sexual transmission is the primary route of HIV-1 infection among newly reported cases. Given the increasing prevalence in recent years, this study aimed to identify the factors driving local viral spread and analyze the characteristics of pretreatment HIV drug resistance (PDR). Methods: Plasma samples were collected from 407 newly reported, treatment-naïve individuals infected via sexual transmission in Baotou between 2021 and 2024. HIV-1 pol gene sequences were obtained using next-generation sequencing (NGS) to infer genotypes, phylogenetic relationships, and molecular transmission networks. Logistic regression models identified factors associated with molecular clustering and high network connectivity. PDR was analyzed using the Stanford University HIV Drug Resistance Database. Results: Of the 407 individuals, 363 (89.2%) yielded valid HIV-1 pol sequences. The predominant subtypes were CRF07_BC (54.3%), CRF01_AE (29.2%), and CRF55_01B (3.8%). Overall, 148 sequences (40.8%) formed 37 molecular transmission clusters, including two large clusters. Centrality indicators revealed that significant differences between older heterosexual men and men who sex with men (MSM) within large transmission clusters. Analysis of drug-resistant transmission networks revealed three small clusters. The prevalence of PDR to any antiretroviral drugs, nucleoside reverse transcriptase inhibitors (NRTIs), non-nucleoside reverse transcriptase inhibitors (NNRTIs), and protease inhibitors (PIs) were 7.99% (29/363), 4.41% (16/363), 2.48% (9/363), and 2.20% (8/363), respectively. NNRTI-associated resistance rates were the highest, with most exhibiting moderate to high resistance levels. Conclusion: Older heterosexual men maintain active, localized transmission networks in Baotou. Targeted control measures addressing this high-risk subpopulation are essential to complement existing MSM-focused interventions. The prevalence of NNRTI resistance indicates that ongoing surveillance of resistant strains and pretreatment drug resistance testing remain critical for effective clinical management.

Indexed as

Genetic VariationHIV-1HIV InfectionsAdultChinaDrug Resistance, ViralFemaleGenotypeHumansMaleMiddle AgedPhylogenydrug resistancegenetic variationHIV-1molecular transmission networkMSMolder heterosexual men

Identifiers

PMID42338540
PMCPMC13283965

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.