ArticleBMC infectious diseases2026
Molecular network characteristics and transmissible drug resistance of HIV-1 CRF55_01B in Yunnan Province.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
objectiveBy using molecular network technology to analyze the transmission characteristics of the CRF55_01B strain in Yunnan Province, we aimed to identify high-risk transmitters, trace the origin time, location, transmission routes and transmitted drug resistance(TDR) of the virus, and provide a data basis for subsequent surveillance.
methodsDemographic data and laboratory test results were collected from all newly diagnosed and treatment-naïve individuals infected with the CRF55_01B strain in Yunnan Province, from January 2020 to December 2024. The molecular network of the CRF55_01B strain was constructed via the paired gene distance method, with Cytoscape 3.10.1 software employed to visualize and analyze the network. BEAST software was used to construct the MCC tree and estimate posterior probabilities, while SpreaD3 was employed to visualize spatiotemporal diffusion and calculate Bayes factors for transmission path analysis. Drug resistance analysis was conducted via the Stanford HIV Drug Resistance Database (HIVdb).
resultsA total of 68 newly diagnosed and treatment-naïve patients infected with the CRF55_01B strain in Yunnan Province were enrolled. With 0.018 as the optimal genetic distance threshold, a molecular network was constructed, yielding a network access rate of 57.35% (39/68). A total of 14 molecular clusters were formed, most of which consisted of two sequences. Among 68 participants, 8.82% (6/68) had drug-resistant infections, while the drug resistance mutation rate of the tested strains was as high as 98.53% (67/68). Half of the drug-resistant patients (3/6) were incorporated into the molecular network, leading to the formation of a single drug-resistant transmission cluster. Analysis of transmission network signatures (TNSs) identified 7 high-risk transmitters. Bayesian phylogenetic analysis revealed that the most recent common ancestor (tMRCA) of the CRF55_01B strain dated back to 2002.03; the strain entered Qujing City, Yunnan Province via heterosexual transmission in 2005.20, and was simultaneously detected in Pu’er City and Wenshan Prefecture in the same year. In approximately 2006.16, it was first found among the men who have sex with men (MSM) population in Yunnan Province. Since then, it has spread bidirectionally between MSM and heterosexual populations. Multiple transmission patterns were observed, including intra-familial, local, cross-regional, and multi-partner transmission, accompanied by transmitted drug resistance (TDR). Imported cases were mainly from Hubei and Guangdong Provinces, with Honghe Prefecture serving as the primary entry point in Yunnan.
conclusionsThe CRF55_01B strain was introduced into Qujing City, Yunnan Province, via heterosexual contact around 2005.20. Thereafter, the virus exhibited a bidirectional spread between MSM and heterosexual populations, demonstrating diverse transmission patterns including intra-familial, local, cross-regional, and multi-partner transmission. Meanwhile, evidence of drug-resistant strain transmission was detected. Molecular transmission network analysis further revealed that over 40% of potential concealed transmission sources remained unincorporated into the network. Based on this, it is recommended to adopt differentiated monitoring strategies, with a focus on strengthening the monitoring of drug-resistant strains in core hub areas and precise interventions for mobile populations. CLINICAL TRIAL: Not applicable.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.