HIV associated factors among men who have sex with men in Maanshan, China: a cross-sectional study.

BACKGROUND: This study conducted a survey of men who have sex with men (MSM) in Maanshan City of Anhui Province to assess the risk behaviors related to human immunodeficiency virus (HIV) infection. METHODS: A cross-sectional survey was conducted from June 2016 to June 2019. The MSM were recruited by a peer-driven sampling method. A face-to-face interview with anonymous questionnaire was used for data collection. The information collected by the survey was summarized and epidemiology described the basic characteristics of MSM, and then the related factors were statistically analyzed. RESULTS: A total of 934 MSM were recruited with a average age was 30.5 (SD = 8.90) years old, including 816 (87.4%) HIV negative participants and 118 (12.6%) HIV positive ones. This study showed that freelancer (OR = 4.02, 95% CI: 1.96-8.23), scope of sexual partners distribution (OR = 1.78, 95% CI: 1.36-2.33), number of male sexual partners (OR = 2.11, 95% CI: 1.47-3.02), role of anal sex with men was receptive (OR = 2.54, 95% CI: 1.25-5.13) and versatile (OR = 2.34, 95% CI: 1.31-4.19) and non-steady sex partners (OR = 2.14, 95% CI: 1.56-2.93) were risk factors for HIV infection, while monthly income (OR = 0.68, 95% CI: 0.57-0.82), education level (OR = 0.79, 95% CI: 0.66-0.95), frequency of condom use (OR = 0.53, 95% CI: 0.35-0.81) and number of oral sex partners (OR = 0.35, 95% CI: 0.24-0.51) in the past 6 months were protective factors for HIV infection. CONCLUSION: Risk behaviors were common in MSM, and urgent need for targeted and comprehensive interventions to reduce risky sexual behaviour and to prevent HIV infection in MSM.

Effects of alcohol on the composition and metabolism of the intestinal microbiota among people with HIV: A cross-sectional study.

OBJECTIVES: Alcohol consumption is not uncommon among people with HIV (PWH) and may exacerbate HIV-induced intestinal damage, and further lead to dysbiosis and increased intestinal permeability. This study aimed to determine the changes in the fecal microbiota and its association with alcohol consumption in HIV-infected patients. METHODS: A cross-sectional survey was conducted between November 2021 and May 2022, and 93 participants were recruited. To investigate the alterations of alcohol misuse on fecal microbiology in HIV-infected individuals, we performed 16s rDNA gene sequencing on fecal samples from the low-to-moderate drinking (n = 21) and non-drinking (n = 72) groups. RESULTS: Comparison between groups using alpha and beta diversity showed that the diversity of stool microbiota in the low-to-moderate drinking group did not differ from that of the non-drinking group (all p > 0.05). The Linear discriminant Analysis effect size (LEfSe) algorithm was used to determine the bacterial taxa associated with alcohol consumption, and the results showed altered fecal bacterial composition in HIV-infected patients who consumed alcohol; Coprobacillus, Pseudobutyrivibrio, and Peptostreptococcaceae were enriched, and Pasteurellaceae and Xanthomonadaceae were depleted. In addition, by using the Kyoto Encyclopedia of Genes and Genomes (KEGG), functional microbiome features were also found to be altered in the low-to-moderate drinking group compared to the control group, showing a reduction in metabolic pathways (p = 0.036) and cardiovascular disease pathways (p = 0.006). CONCLUSION: Low-to-moderate drinking will change the composition, metabolism, and cardiovascular disease pathways of the gut microbiota of HIV-infected patients.

Metabolomic profiles, polygenic risk scores and risk of rheumatoid arthritis: a population-based cohort study in the UK Biobank.

OBJECTIVE: To investigate the relationship between metabolomic profiles, genome-wide polygenic risk scores (PRSs) and risk of rheumatoid arthritis (RA). METHODS: 143 nuclear magnetic resonance-based plasma metabolic biomarkers were measured among 93 800 participants in the UK Biobank. The Cox regression model was used to assess the associations between these metabolic biomarkers and RA risk, and genetic correlation and Mendelian randomisation analyses were performed to reveal their causal relationships. Subsequently, a metabolic risk score (MRS) comprised of the weighted sum of 17 clinically validated metabolic markers was constructed. A PRS was derived by assigning weights to genetic variants that exhibited significant associations with RA at a genome-wide level. RESULTS: A total of 620 incident RA cases were recorded during a median follow-up time of 8.2 years. We determined that 30 metabolic biomarkers were potentially associated with RA, while no further significant causal associations were found. Individuals in the top decile of MRS had an increased risk of RA (HR 3.52, 95% CI: 2.80 to 4.43) compared with those below the median of MRS. Further, significant gradient associations between MRS and RA risk were observed across genetic risk strata. Specifically, compared with the low genetic risk and favourable MRS group, the risk of incident RA in the high genetic risk and unfavourable MRS group has almost elevated by fivefold (HR 6.10, 95% CI: 4.06 to 9.14). CONCLUSION: Our findings suggested the metabolic profiles comprising multiple metabolic biomarkers contribute to capturing an elevated risk of RA, and the integration of genome-wide PRSs further improved risk stratification.