Evidence map›Paper›PMID 42338889›Full record

ArticleFrontiers in microbiology2026

HIV-1 molecular transmission networks among MSM in Ningxia, China (2018-2024): insights into local transmission dynamics and drug resistance.

Zhonglan Wu, Jianxin Pei, Ziyang Luo, Yufeng Li, Xiaohong Zhu, YouPing Duan, Subinuer Mutalifu, Yong Li

Abstract read
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Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing 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

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zhonglan Wu *College of Life Science, Ningxia University, Yinchuan, Ningxia, China.
Jianxin Pei *Ningxia Center for Disease Control and Prevention, Yinchuan, Ningxia, China.
Ziyang Luo *College of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China.
Yufeng LiCollege of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China.
Xiaohong ZhuCollege of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China.
YouPing DuanCollege of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China.
Subinuer MutalifuCollege of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China.
Yong LiCollege of Life Science, Ningxia University, Yinchuan, Ningxia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Men who have sex with men (MSM) remain a high-risk group for HIV infection, accounting for nearly half of new HIV cases worldwide-a persistent global public health concern. This study investigated HIV-1 molecular transmission networks among MSM in Ningxia Hui Autonomous Region (NHAR), China. The aim was to characterize transmission dynamics within. Methods: Plasma samples were collected from HIV-positive MSM in Ningxia between 2018 and 2024. HIV-1 RNA was extracted and sequenced for genotyping and drug resistance analysis. Genetic distances were calculated using the TN93 model in HyPhy 2.2.4. A sensitivity analysis was performed across thresholds of 0.1%-2.1% to justify the chosen threshold of 1.5%. Molecular transmission networks were visualized in Cytoscape 3.7.0. Bayesian phylogenetic analysis was used to identify migration events. Multivariable logistic regression was used to assess factors associated with clustering and high linkage. Results: Among 296 MSM with successful sequencing, CRF07_BC was the predominant subtype (57.09%). CRF01_AE (20.61%) and CRF55_01B (5.07%) were also common. A total of 2.70% were classified as unique recombinant forms (URFs). We identified 129 MSM (43.6%, 129/296) within molecular transmission clusters. Large clusters (≥10 members) contained 117/129 (90.7%) of clustered individuals.CRF07_BC was the most frequent subtype in clusters (71.3% of clustered cases), but logistic regression showed it was associated with lower odds of high-degree connectivity (AOR = 0.209). Most clustered cases were from Yinchuan (57.4%). The strongest connection intensity appeared within Yinchuan, then between Yinchuan and Wuzhong. The most robust network connections were among MSM aged 25-39. Basic reproduction number (R Conclusion: MSM aged 25-39 showed the highest connectivity in transmission networks. The high clustering rate (43.6%) and identified acquired drug resistance (38.2% among sequenced individuals) underscore the urgent need for targeted interventions. These findings are limited to ART-experienced MSM with viremia (VL > 200 copies/mL) and cannot be generalized to the broader MSM population or to virologically suppressed individuals.

Indexed as

Chinadrug resistanceHIV-1molecular transmission networkMSM

Identifiers

PMID42338889
PMCPMC13283995

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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.