Objective:To understand the characteristics of sexualized drug use (SDU) among men who have sex with men (MSM) in Chengdu and classify their behavioral patterns by applying the two-step cluster (TSC) algorithm and by exploring the association between SDU patterns and high risk sexual behaviors, in order to provide a reference basis for the development of HIV prevention interventions.Methods:Supported by an MSM-friendly organization in Chengdu from December 2021 to February 2022, MSM were recruited by on-site survey and peer referral to collect information on sociodemographics, SDU characteristics, sexual behaviors, STD diagnosis, and HIV status. TSC was performed to classify the characteristics of SDU, and the differences between groups were compared. Chi-square test and multiple binary logistic regressions were used to identify the relationship between SDU clusters and HIV-related risk sexual behaviors.Results:A total of 727 MSM were surveyed, and 39.8% (289/727) of the respondents reported SDU experience with a same-sex partner in the last six months. TSC clustered SDU-MSM into three behavioral pattern groups. There were significant differences in monthly income, types of drugs used for SDU, mode, frequency, polydrug use, multiple sexual partners, non-adherence to condom use, and group sex among the three groups of SDU-MSM ( P<0.05). Multivariate binary logistic regression analysis showed that the third category of SDU-MSM was 2.22 (95% CI: 1.06-4.66) times more likely than the first category not to use condoms consistently; the third and second categories were 2.82 (95% CI: 1.18-6.77) times and 8.78 (95% CI: 3.42-22.42) times. Conclusions:The prevalence of SDU among MSM in Chengdu was more than 1/3, and different SDU clustering pattern was associated with high-risk sexual behaviors. MSM with higher SDU frequency, drug use, and polydrug abuse are more difficult to adhere to condom use and more likely to have group sex and high risk sexual behaviors, increasing the risk of STD and HIV infection, and need to strengthen SDU surveillance and intervention.

OBJECTIVE: To explore the role of miR-593 in regulating the proliferation of colon cancer cells and the molecular mechanism. METHODS: Bioinformatics analysis identified PLK1 as the possible target gene of miR-593. Luciferase assay was employed to verify the binding between miR-593 and PLK1, and qRT-PCR and Western blotting were used to verify that PLK1 was the direct target gene of miR-593. CCK-8 assay was performed to test the hypothesis that miR-593 inhibited the proliferation of colon cancer cells by targeting PLK1. RESULTS: Luciferase assay identified the specific site of miR-593 binding with PLK1. Western blotting showed a significantly decreased expression of PLK1 in the colon cancer cells transfected with miR-593 mimics and an increased PLK1 expression in the cells transfected with the miR-593 inhibitor as compared with the control cells ( < 0.05). The results of qRT-PCR showed no significant differences in the expression levels of PLK1 among the cells with different treatments ( > 0.05). The cell proliferation assay showed opposite effects of miR-593 and PLK1 on the proliferation of colon cancer cells, and the effect of co-transfection with miR-593 mimic and a PLK1-overexpressing plasmid on the cell proliferation was between those in PLK1 over-expressing group and miR-593 mimic group. CONCLUSIONS miR-593 inhibits the proliferation of colon cancer cells by down-regulating PLK1 and plays the role as a tumor suppressor in colon cancer.
Binding Sites ; Cell Cycle Proteins ; genetics ; metabolism ; Cell Line, Tumor ; Cell Proliferation ; Colonic Neoplasms ; metabolism ; pathology ; Down-Regulation ; Gene Expression Regulation, Neoplastic ; Genes, Tumor Suppressor ; Humans ; In Vitro Techniques ; MicroRNAs ; genetics ; metabolism ; Protein-Serine-Threonine Kinases ; genetics ; metabolism ; Proto-Oncogene Proteins ; genetics ; metabolism ; Reverse Transcriptase Polymerase Chain Reaction ; Sincalide ; metabolism ; Transfection

Humans ; Non-alcoholic Fatty Liver Disease ; Prospective Studies ; Risk Factors ; Exercise ; Liver