Characterization of HIV-1 molecular epidemiology and transmitted drug-resistance in newly diagnosed HIV-infected patients in Sichuan, China
BMC Infectious Diseases·
- DOI
- 10.1186/s12879-022-07576-z
- PMID
- 35799101
- PMCID
- PMC9263063
- OpenAlex
- W4284678005
- Study type
- Cross-sectional study
- Publisher
- Springer Science and Business Media LLC
- Article type
- journal-article
- Integrity
- current
Why this research matters now
Tracking pretreatment resistance patterns aids in evaluating current antiretroviral protocols and highlights the need for expanded behavioral outreach targeting underrepresented demographic segments.
Structured evidence summary
Research question
What molecular epidemiological patterns and transmitted drug-resistance profiles characterize recently diagnosed HIV-1 infections across Sichuan province?
Study design
A cross-sectional investigation analyzing archived plasma specimens collected during a single month in 2019 to assess viral genetics and resistance markers.
Population and setting
Newly diagnosed HIV-positive individuals sampled from all twenty-one municipalities within Sichuan province, China.
Main findings
Sequencing revealed a highly diverse viral landscape dominated by specific recombinant forms, with transmitted drug-resistance meeting moderate classification standards. Statistical associations linked particular genetic lineages, educational background, and resistance markers to participation in identified transmission networks.
Public-health relevance
Tracking pretreatment resistance patterns aids in evaluating current antiretroviral protocols and highlights the need for expanded behavioral outreach targeting underrepresented demographic segments.
Important limitations
The summary is restricted to the supplied single-article abstract and metadata, necessitating the original paper for decision-grade interpretation.
GIDS interpretation
This publication contributes to regional genomic epidemiology literature by cataloging viral strain distributions and baseline resistance frequencies, providing contextual reference material for academic and public health discussions.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 11 auditable classifier relationships to diseases, places, topics, and study design.