<b><i>Introduction:</i></b> A large number of unique recombinant forms have been found in China in recent years. This study aimed to report on a cluster of novel HIV-1 recombinants. <b><i>Methods:</i></b> We constructed phylogenetic trees using the maximum likelihood (ML) method with 1,000 bootstrap replicates in IQ-TREE 1.6.8 software and determined recombination break points using SimPlot 3.5.1. <b><i>Results:</i></b> Overall, 9 near-full-length genome (NFLG) sequences were reported in this study, including 1 circulation recombinant form (CRF)01_AE NFLG sequence and 8 highly similar novel HIV-1 second-generation recombinants composed of CRF01_AE and CRF07_BC (CRF105_0107) isolated from a cluster HIV-positive male subjects infected among men who have sex with men (MSM) in Nanjing, eastern China. The phylogenetic analysis of NFLG showed 1 sequence named “nj16” to have at least 11 breakpoints inner virus and 7 other sequences to have at least 10 breakpoints inner virus. Our findings further showed as follows: first, this is the first time that a cluster of novel CRF105_0107 HIV-1 strains were identified among MSM in Nanjing, Jiangsu. Second, the Chinese “4a” cluster of CRF01_AE which mainly circulating in northern China has spread in Jiangsu for more than 15 years. Third, HIV-1 recombination events were active in Nanjing city, and novel recombinants could spread rapidly through some small-scale transmission networks. <b><i>Conclusion:</i></b> The continued emergence of novel recombinant HIV-1 strains in Nanjing suggests dynamics and complexity in the HIV epidemic among MSM in Jiangsu province. Further investigations and molecular epidemiological research should be taken to monitor and understand transmission networks among MSM.

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Background: Epidemiologic evidence on body mass index (BMI)-metabolic status phenotypes and diabetes risk remains controversial, especially for metabolically healthy obesity (MHO). We aimed to examine the effect of metabolic health and obesity phenotype on diabetes risk in the Chinese population. Methods: A population-based cohort study was carried out. The baseline survey was conducted in 2017, with two follow-up visits in 2018 and 2020. Diabetes was defined based on the criteria of the World Health Organization. Robust generalized estimating equation models with a binary distribution using a log link and exchange structure were applied for the pooled analysis sample. Results: A total sample of 9623 observations was pooled for the longitudinal data analysis. The average follow-up time was 1.64 years per person and the overall incidence density of diabetes was 6.94% person-years. Decreased diabetes risk was found in metabolically healthy overweight phenotype (RR = 0.65; 95% CI = 0.47-0.90) and no significant associations were detected for the MHO individuals (RR = 0.99; 95% CI = 0.63-1.53) compared with those of metabolically healthy normal weight, in contrast to metabolically unhealthy normal weight (MU-NW) (RR = 1.81; 95% CI = 1.28-2.55), metabolically unhealthy overweight (MU-OW) (RR = 2.02; 95% CI = 1.57-2.61) and metabolically unhealthy obesity (MUO) (RR = 2.48; 95% CI = 1.89-3.26) phenotypes. Significant associations between BMI-metabolic status phenotypes and diabetes were found in both males and females. Conclusion:The MUO phenotype needs to be accorded much more importance. MU-NW and MU-OW are also important component for targeted prevention. Our findings can be targeted for optimizing preventive strategies to mitigate the obviously increased prevalence of diabetes.

What is Known and Objective: Except for the transmitted drug resistance (TDR)'s standard sampling and monitoring protocol, China's HIV-1 pretreatment drug resistance (PDR) and acquired drug resistance (ADR) results vary widely due to the studies' diverse background. This meta-analysis was conducted to comprehensively understand the drug resistance profiles of Chinese HIV/AIDS patients and compare the drug resistance differences among groups to provide a reference for the further improvement of treatment protocols.

ObjectivesEvaluating the drug resistance (DR) profiles of LLV patients and the influencing factors of treatment effects in Jiangsu Province.MethodThe Pol gene (Reverse transcriptase and protease) was amplified and sequenced to identify the genotypes and DR profiles among LLV patients in 2021. Questionnaire survey was conducted among HIV/AIDS patients to investigate the potential influence factors of treatment effects.Results242 Pol genes were amplified from 345 specimens, and ten genotypes were detected. The DR rate was 40.5%, with 66, 86, and 14 being resistant to NRTIs, NNRTIs, and PIs, respectively. Patients treated with the 2NRTIs+PIs regimen were detected with more DR; and drug resistance was less detected in married or cohabiting patients than unmarried patients. Non-smokers were less likely to develop LLV at follow-up than smokers; patients with stage II clinical stage at diagnosis and using 2NRTIs+PIs regimen were also more likely to develop LLV at follow-up.ConclusionDrug resistance profiles in LLV patients are severe and differ in treatment regimens and marital statuses. Meanwhile, smoking history, clinical stage, and treatment regimen may influence the therapeutic effect. It is necessary to include LLV people in the free drug resistance testing program.