Humans ; Monocytes ; Machine Learning ; HIV Infections/genetics*

The persistence of the HIV-1 reservoir is still the main obstacle to the cure of HIV. In clinical research, reliable biomarkers are needed to label it. HIV-1 DNA can be continuously detected in the HIV-1 reservoir. It has significant application value in diagnosing HIV-1 infection, the timing of antiretroviral therapy, the prediction of virus rebound, and monitoring treatment effects. The detection technology based on polymerase chain reaction (PCR) is the most commonly used HIV-1 DNA detection method in clinical practice. The continuous innovation and advancement of technology can accurately detect the total, integrated, and unintegrated HIV-1 DNA in infected cells using qualitative or quantitative methods. Different forms of HIV-1 DNA in infected cells have been increasingly reported as biomarkers in HIV infection monitoring and AIDS treatment-related research. This article reviews the progress of HIV-1 DNA.
Humans ; HIV-1/genetics* ; HIV Infections/diagnosis* ; DNA ; Polymerase Chain Reaction ; HIV Seropositivity

Coinfection ; Genes, Viral ; Genotype ; HIV ; genetics ; HIV Infections ; virology ; HIV Seropositivity ; Hepacivirus ; genetics ; Hepatitis C ; virology ; Humans

In the last decade, next-generation sequencing (NGS) technology, which is characterized by being high-throughput, rapid, sensitive, and accurate, has developed rapidly. Main components of NGS are platforms: 454 sequencing; illumina sequencing; ion torrent sequencing; SOLID sequencing. NGS is used widely for the human immunodeficiency virus (HIV)-1. In this review, we focus on applications of the dynamics of HIV-1 quasispecies.
Animals ; HIV Infections ; virology ; HIV-1 ; classification ; genetics ; isolation & purification ; High-Throughput Nucleotide Sequencing ; methods ; Humans

Child ; Drug Resistance, Viral ; HIV ; drug effects ; genetics ; HIV Infections ; virology ; Humans

HIV Infections ; immunology ; HIV-1 ; genetics ; immunology ; Humans ; Mutation ; T-Lymphocytes ; immunology

OBJECTIVETo provide information on the geographical distribution of HIV-1 genotypes and subtypes in the population of China.

METHODSA comprehensive search was carried out in China Hospital Knowledge Database (CHKD), Wanfang (Chinese), CBMDisc and PubMed databases to identify all studies published related to HIV-1 genotypes in China. All studies were grouped according to the sites, period and objects for analyzing the distribution of HIV genotypes.

RESULTSA total of 175 studies were included in this Meta-analysis, which contained 285 records. We found that the predominate genotypes in China were B' subtype, CRF01_AE, CRF07_BC and CRF08_BC, but the subtype distribution of HIV-1 was different in the western and southern parts of the country. CRF01_AE had a significant increase while subtype B' showed a decrease. There were various HIV-1 subtypes among individuals who acquired HIV through sexual contacts and CRF01_AE was most commonly identified in this group of people.

CONCLUSIONThe distribution of HIV-1 genotypes in Chinese people significantly changed, together with high complexity of the HIV-1 epidemics noticed in China.

OBJECTIVE: The mode of human immunodeficiency virus (HIV) transmission via injection drug use (IDU) still exists, and the recent shift in IDU-related transmission of HIV infection is largely unknown. The purpose of this study was to analyze the spatiotemporal sources and dynamics of HIV-1 transmission through IDU in Guangxi. METHODS: We performed a molecular epidemiological investigation of infections across Guangxi from 2009 to 2019. Phylogenetic and Bayesian time-geographic analyses of HIV-1 sequences were performed to confirm the characteristics of transmission between IDUs in combination with epidemiological data. RESULTS: Among the 535 subjects, CRF08_BC (57.4%), CRF01_AE (28.4%), and CRF07_BC (10.7%) were the top 3 HIV strains; 72.6% of infections were linked to other provinces in the transmission network; 93.6% of sequence-transmitted strains were locally endemic, with the rest coming from other provinces, predominantly Guangdong and Yunnan; 92.1% of the HIV transmission among people who inject drugs tended to be transmitted between HIV-positive IDUs. CONCLUSION HIV recombinants were high diversity, and circulating local strains were the transmission sources among IDUs in Guangxi. However, there were still cases of IDUs linked to other provinces. Coverage of traditional prevention strategies should be expanded, and inter-provincial collaboration between Guangxi, Yunnan, and Guangdong provinces should be strengthened.
Humans ; HIV-1/genetics* ; HIV Infections ; Drug Users ; Phylogeny ; Bayes Theorem ; China/epidemiology* ; Genotype

Objective: To analyze the dynamic changes and influencing factors of HIV-1 DNA load in HIV-1 infected individuals under antiretroviral therapy (ART) in Dehong Dai and Jingpo autonomous prefecture, Yunnan province, and provide information support for the clinical use of HIV-1 DNA quantitative detection. Methods: The HIV infection cases in recent infection cohort from Dehong Center for Disease Control and Prevention during 2009-2018 were selected as study subjects. The dynamic curve of HIV-1 DNA load varrying with time was generated and logistic regression analysis was conducted to identify the risk factors for HIV-1 load in the recent follow up after ART and statistical analysis was performed by using SPSS 17.0. Results: Among the 113 HIV infection cases detected from the recent infection cohort, the recent HIV infection rate were 49.6%(56/113) males, sexual transmission cases and drug injection transmission cases accounted for 53.1% (60/113), 80.5% (91/113) and 19.5% (22/113), respectively. The dynamic changes curve showed that HIV-1 DNA load was relatively high (>800 copies /10⁶ PBMCs) before ART, and droped rapidly (<400 copies /10⁶ PBMCs) after ART for 1 year. However, HIV-1 DNA load decreased insignificantly from the second year of ART, and remained to be 269 copies/10⁶ PBMCs after ART for 6 years. Univariable logistic regression analysis indicated that OR (95%CI) of CD8, CD4/CD8 and HIV-1 DNA load were 1.00 (1.00-1.00), 0.30 (0.09-1.05) and 1.01 (1.00-1.01), respectively. Multivariable logistic regression analysis showed that OR value of HIV-1 DNA load base was 1.00 (1.00-1.01). Conclusions: HIV-1 DNA load decreased significantly in the first year of ART, then remained stable for years. HIV-1 DNA load base was the key factor associated with the decrease of HIV-1 DNA load, the lower the HIV-1 DNA load base, the lower HIV-1 DNA load. Therefore, earlier ART can contribute to the decrease of HIV-1 DNA load.
China/epidemiology* ; DNA/therapeutic use* ; HIV Infections/drug therapy* ; HIV Seropositivity ; HIV-1/genetics* ; Humans ; Male ; Viral Load

Humans ; HIV Infections/drug therapy* ; HIV-1/genetics* ; Tenofovir/therapeutic use* ; Anti-HIV Agents/therapeutic use* ; RNA ; Drug Combinations