HIV-1 genetic diversity and transmitted drug resistance among newly diagnosed HIV-1 individuals in Jiangmen,China

Jiangmen is one of the Guangdong-Hong Kong-Macao Greater Bay Areas with frequent commercial intercourse, which is responsible for human immunodeficiency virus type 1 (HIV-1) rapid circulation and genetic evolution for recent years. As a novel HIV-1 second-generation recombinant was previously reported in Jiangmen but the systematic molecular epidemiological investigation was still unknown. A retrospective study on HIV-1 genotypic characteristics and the emergence of transmitted drug resistance in this region was necessary. A total of 224 newly diagnosed HIV-positive cases were randomly selected in Jiangmen City of Guangdong Province between 2018 and 2019. The partial gag (1080 bp), pol (840 bp), and env (460 bp) genes were amplified using nested polymerase chain reaction followed by sequencing. The phylogenetic and recombination analysis as well as HIV-1 drug resistance were performed to surveillance. Sexual transmission was determined to be the major risk factor in Jiangmen. Phylogenetic analysis detected the genotypic distribution as follows: CRF01_AE (36.65%,70 of 191), CRF07_BC (32.46%, 62 of 191), CRF08_BC (4.71%, 9 of 191), CRF55_01B (5.24%, 10 of 191), CRF59_01B (3.14%, 6 of 191), subtype B (4.71%, 9 of 191), subtype C (1.05%, 2 of 191) as well as unique recombinant forms (12.04%, 23 of 191) consisted of seven recombinant patterns, which originated from multiple regions of China. Low-level prevalence of Surveillance Drug Resistance Mutations (2.1%) were predicted but drug-resistant mutations showed at a high level (15.4%) especially mutations in RT gene at position 179 were found to be the most frequent in the therapy-naïve population. Our study highlighted the critical importance of monitoring the emerge of recombinant strains among newly diagnosed HIV-1 individuals along with drug resistance regularly to prevent multi-channel introduction and breakout of new HIV strains.     

Low prevalence of transmitted drug resistance among newly diagnosed HIV-1 patients in Latvia

Transmitted drug resistance (TDR) is a concern because it may reduce the efficacy of antiretroviral treatment. Plasma samples of 119 HIV-1-infected patients who were newly diagnosed at the Infectology Center of Latvia in 2005 and 2006 were analyzed by an in-house genotypic resistance assay to determine the prevalence of TDR in Latvia. TDR was identified using the WHO 2009 list of mutations for surveillance of TDR as implemented in the Stanford Calibrated Population Resistance tool. Neighbor-joining phylogenetic analyses were used to determine genetic subtype and investigate the relatedness of the sequences. Resistance testing was successful in 117 of 119 patients. The study population represented ～20% of all patients that were diagnosed in Latvia in 2005 and 2006 and was well distributed between gender, transmission routes, and areas of residence. Four patients showed evidence of TDR, which represents a prevalence of TDR of 3.4% (95% CI: 0.9-8.5%). All four patients displayed single, but different resistance mutations (M46I, F53L, M41L, and G190A). All patients, except one, were predicted to respond well to standard first-line therapy in Latvia. The prevalence of TDR in Latvia was low, which partly may be due to the low proportion of HIV-1 patients who receive antiretroviral therapy. The results indicate that routine resistance testing in Latvia currently should be focused on patients who display treatment failure, rather than treatment naive patients.     

Human immunodeficiency virus (HIV) antibody avidity testing to identify recent infection in newly diagnosed HIV type 1 (HIV-1)-seropositive persons infected with diverse HIV-1 subtypes

A guanidine-based antibody avidity assay for the identification of recently acquired human immunodeficiency virus type 1 (HIV-1) infection was evaluated. The kinetics of maturation of antibody avidity were determined prospectively in 23 persons undergoing acute seroconversion followed for up to 1,075 days. Avidity indices (AI) of 相似文献   

High frequency of non-B subtypes in newly diagnosed HIV-1 infections in Switzerland

HIV-1 subtypes were determined in newly diagnosed residents of Switzerland. Blood was anonymously collected from patients with a first confirmed positive HIV-1 test result. Viral DNA from the env V3-V5 region was amplified by nested polymerase chain reaction (PCR) and screened for subtype B by heteroduplex mobility assay. All amplicons not identified as B were sequenced. From November 1996 to February 1998, 206 samples were analyzed. Main transmission risks were unprotected heterosexual (55.7%) or homosexual (27.1%) sexual contact or intravenous drug use (12.9%). Subtype B dominated in patients of Swiss, other European, American, or Asian citizenship; particularly high frequencies were found in homosexuals (97%) and drug users (94%). Non-B subtypes including A, C, D, E, F, G, H, a possible B/F recombinant, and a sequence related to J were present in 28.2% (95% confidence interval [CI], 22.9%-35.0%). Non-B were frequent in African citizens (95%), heterosexually infected individuals (44%), and women (43%). Heterosexually infected Swiss males harbored non-B strains in 18% and females in 33%. The results document a change in the epidemiology of newly diagnosed HIV-1 infections in Switzerland: predominance of heterosexual transmission and a high frequency of non-B subtypes.     

Transmission of HIV-1 drug resistance.

BACKGROUND: The use of highly-active anti-retroviral therapy (HAART) for treating HIV infections is increasing. Recent studies have demonstrated that HAART is improving both the length and quality of life in HIV-infected patients. Resistant strains of HIV arise when drug adherence is poor. This can lead to the transmission of drug-resistant strains of HIV to susceptible individuals. This can lead to suboptimal first-line therapy, if the resistance profile of the transmitted virus is unknown. OBJECTIVES: To review the mechanisms of how drug resistance arises; the methods used to characterise drug resistance; the problems arising with compliance leading to the development of drug-resistant HIV strains; the evidence for the incidence, prevalence and trends in the transmission of resistant HIV strains in different risk groups; and the evidence of suboptimal response to first-line therapy where transmission of a resistant HIV strain has occurred. On the basis of this, a case is presented for the routine resistance testing of all newly diagnosed HIV-infected individuals. STUDY DESIGN: Literature review. RESULTS AND CONCLUSIONS: There is evidence, though limited at present, that transmission of drug-resistant HIV strains can lead to suboptimal response to first-line therapy in newly diagnosed HIV-infected individuals. As the use of HAART can only increase in the future, and compliance will always be a problem in such HAART-treated patients, baseline resistance testing should become a routine part of their management.     

Technologies for measuring HIV-1 drug resistance

Abstract

Drug resistance testing significantly improves response to antiretroviral treatment in HIV-1-infected patients, therefore it has recently been implemented into current guidelines for the management of antiretroviral therapy. Knowledge about technologies for measuring drug resistance is important for several reasons: (a) differences exist between different technologies and also between assays based on the same technology; (b) the results of resistance testing are strongly dependent on the reliability and precision of the technology used; and (c) technical aspects have to be considered for a clinically relevant interpretation of drug resistance. The spectrum of genotypic and phenotypic technologies as well as the technical quality is increasing, which shifts the emphasis to the interpretation of resistance profiles. The interpretation is based on the knowledge of drug resistance-associated mutations as well as correlations between genotype and phenotype and clinical response, which are incorporated into rules-based systems. Bioinformatic techiques are used to generate mathematical models for the prediction of drug resistance from genotype. Both approaches are converging toward the prediction of clinical response. Because therapy response is dependent on many additional variables, further efforts are required for the generation of a large clinical database. This will be the basis of a prediction system that will optimize the antiretroviral therapy for each individual patient.     

Technologies for measuring HIV-1 drug resistance

Drug resistance testing significantly improves response to antiretroviral treatment in HIV-1-infected patients, therefore it has recently been implemented into current guidelines for the management of antiretroviral therapy. Knowledge about technologies for measuring drug resistance is important for several reasons: (a) differences exist between different technologies and also between assays based on the same technology; (b) the results of resistance testing are strongly dependent on the reliability and precision of the technology used; and (c) technical aspects have to be considered for a clinically relevant interpretation of drug resistance. The spectrum of genotypic and phenotypic technologies as well as the technical quality is increasing, which shifts the emphasis to the interpretation of resistance profiles. The interpretation is based on the knowledge of drug resistance-associated mutations as well as correlations between genotype and phenotype and clinical response, which are incorporated into rules-based systems. Bioinformatic techniques are used to generate mathematical models for the prediction of drug resistance from genotype. Both approaches are converging toward the prediction of clinical response. Because therapy response is dependent on many additional variables, further efforts are required for the generation of a large clinical database. This will be the basis of a prediction system that will optimize the antiretroviral therapy for each individual patient.     

Primary antiretroviral drug resistance in newly human immunodeficiency virus-diagnosed individuals testing anonymously and confidentially

The purpose of this study was to determine if anonymous and confidential testers differ in recency of human immunodeficiency virus (HIV) infection at time of testing and prevalence of antiretroviral drug (ARV) resistance. We examined data from the Centers for Disease Control and Prevention-sponsored Antiretroviral Drug Resistance Testing project, which performed genotypic testing on leftover HIV diagnostic serum specimens of confidentially and anonymously tested ARV-na?ve persons newly diagnosed with HIV in Colorado (n?=?365 at 11 sites) and King County, Washington (n?=?492 at 44 sites). The serologic testing algorithm for recent HIV seroconversion was used to classify people as likely to have been recently infected or not. Type of testing, anonymous or confidential, was not significantly associated with either timing of HIV testing by serologic testing algorithm for recent HIV seroconversion or resistance rates. Mutations conferring any level of ARV resistance were present in 17% of testers, and high-level resistance mutations were present in 10%. Anonymous testers were significantly more likely to have CD4+ counts >500 cells per mm(3) (45% vs. 28%; p?=?0.018), indicative of an early infection. This study indicates that anonymous testers have demographic differences relative to confidential HIV testers but were not more likely to exhibit drug resistance. Findings related to when in the course of disease anonymous testers are tested are inconsistent, but anonymous testers had higher CD4 counts, which indicates early testing and is consistent with other studies.     

Pancreatic autoantibodies in Tunisian children with newly diagnosed type 1 diabetes

We analyzed 86 children with newly diagnosed type 1 diabetes for antibodies to islet cells (ICA), glutamic acid decarboxylase (GADA), second-islet antigen (IA-2A), and insulin (IAA) in order to evaluate the prevalence of immune-mediated type 1 diabetes, as well as to recognize which autoantibody combination is more frequently associated with the disease. A positive result for one or more diabetes-related antibodies evaluated was found in 78 children (90.7%). With regard to single autoantibody testing, ICA were found to be positive in 49 patients (57%), GADA in 56 (65.1%), IA-2A in 37 (43%), and IAA in 43 (50%) patients. Combining the determination of at least two autoantibodies, GADA and/or IAA were better detectable than other antibody combination, being positive in 70 patients (81.4%). GADA and IA-2A represent also a useful screening combination; being positive in 65 patients (75.6%). Our data indicate that the vast majority of cases of type 1 diabetes in children may be considered as immune-mediated and that multiple autoantibody analysis improves identification of the disease.     

Geographical clustering of human T-cell lymphotropic virus type 1 infection in Honduras.

Geographical clustering of human T-cell lymphotropic virus type 1 (HTLV-1) infection has been identified in the nonmestizo communities in several cities along the Atlantic coast of Honduras. Of the 2,651 serum samples tested, 122 samples were repeatedly reactive for HTLV-1 antibodies in two different enzyme immunoassays and 3 were indeterminate. These sera did not react in the HTLV-2-specific antibody tests. The presence of HTLV-1 antibodies was confirmed by HTLV-1 immunoblots or Western blots (immunoblots), and the infection was verified by the detection of HTLV-1-specific genetic sequences in the cellular DNA by PCR. Genomic DNA from the peripheral blood mononuclear cells was first tested with generic primers and probes that identified both HTLV-1 and HTLV-2. Next, all DNA samples that showed HTLV reactivity were tested by PCR with specific primers and probes that distinguished HTLV-1 sequences from those of HTLV-2. Our results indicate that only HTLV-1 infection was present in the blood of both mestizo and nonmestizo residents of 15 cities in the Republic of Honduras. The overall prevalence of HTLV-1 infection in the nonmestizo population was 8.1% (95% confidence limit, 6.6 to 9.7%). The mestizo population residing in the same geographical vicinities showed a HTLV-1 antibodies in 0.5% of serum samples tested (95% confidence limit, 0.6 to 1.7%), indicating a significantly greater prevalence of HTLV-1 infection in the nonmestizo population than in the mestizo ethnic groups living in Honduras (P = 0.0001). Since no HTLV-2 antibody reactivity or HTLV-2-specific genetic sequences were detected by PCR with different primers and probes, it was concluded that HTLV-2 infection was not present in the Honduran population groups we tested. Our study also suggested an endemic nature for this virus because there was no difference in the prevalence rate of HTLV-1 antibodies in the nonmestizo community living in the coastal towns of Honduras between 1989 and 1993. This is the first report of HTLV-1 cluster identification in Honduras, Central America.