ArticleFrontiers in microbiology2022
The Molecular Epidemiological and Immunological Characteristics of HIV-1 CRF01_AE/B Recombinants in Nanjing, China.
Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Co-receptor usage in distinct phylogenetic clusters of HIV-1 CRF01_AE is associated with differential immune reconstitution after antiretroviral therapy.Microbiology spectrum · 2026Article
- Comparison of clinical characteristics in acute and early HIV-1 infection across different subtypes: a hospital-based cohort study.Frontiers in microbiology · 2026Article
- Genetic polymorphism of CCR5 (59029A/G) and CCR2 (-64I A/G) promoters in HIV infected patients.Pakistan journal of medical sciences · 2025Article
- Molecular transmission network analysis of newly diagnosed HIV-1 infections in Nanjing from 2019 to 2021.BMC infectious diseases · 2024Article
- Immune reconstitution efficacy after combination antiretroviral therapy in male HIV-1 infected patients with homosexual and heterosexual transmission.Emerging microbes & infections · 2023Article
- Identification of a New HIV-1 Circulating Recombinant Form CRF112_01B Strain in Baoding City, Hebei Province, China.Current HIV research · 2022Article
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11 authors.
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Abstract
Human immunodeficiency virus-type 1 (HIV-1) CRF01_AE/B recombinants are newly emerging strains that are spreading rapidly in Southern and Eastern China. This study aimed to elucidate the molecular epidemiological characteristics of HIV-1 CRF01_AE/B recombinants in Nanjing and to explore the impact of these novel strains on the immunological status. A total of 1,013 blood samples from newly diagnosed HIV-1-infected patients were collected in Nanjing from 2015 to 2019, among which 958 partial Pol sequences were sequenced successfully. We depicted the molecular epidemiological characteristics of CRF01_AE/B recombinants by the molecular evolutionary analysis, Bayesian system evolution analysis, and transmission network analysis. The generalized additive mixed model was applied to evaluate the CD4
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