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1.
Journal of Preventive Medicine ; (12): 465-469, 2024.
Статья в Китайский | WPRIM | ID: wpr-1038974

Реферат

Objective@#To investigate the status of regular HIV testing and post exposure prophylaxis (PEP) behaviors among men who have sex with men (MSM) in Lishui City, Zhejiang Province, so as to provide the reference for developing targeted intervention strategies.@*Methods@#A total of 389 MSM were selected from Lishui City by convenient sampling method from April to August 2022, and demographic information, sexual behaviors, HIV testing and PEP behaviors were collected through questionnaire surveys. MSM were clustered using two step clustering analysis, and regular HIV testing and PEP behaviors among different groups of MSM were compared. Factors affecting regular HIV testing and PEP behaviors were evaluated using a multivariable logistic regression model.@*Results@#The MSM surveyed had a median age of 31.00 (interquartile range, 16.00) years. There were 146 MSM undergoing regular HIV testing, accounting for 37.53%, and 47 MSM receiving PEP, accounting for 12.08%. MSM were divided into two groups. There were 28.05% of MSM with regular HIV testing in group 1, which was lower than the 44.44% in group 2; and 22.56% receiving PEP, which was higher than the 4.44% in group 2 (both P<0.05). Multivariable logistic regression analysis identified age (OR=1.030, 95%CI: 1.011-1.050), sexual roles (both receptive and insertive, OR=2.999, 95%CI: 1.732-5.194) and homosexual behaviors in the past 6 months (use condoms every time, OR=4.567, 95%CI: 2.593-8.044) as factors affecting regular HIV testing among MSM; age (OR=0.970, 95%CI: 0.942-0.999), sexual orientation (OR=0.292, 95%CI: 0.139-0.612) and homosexual behaviors in the past 6 months (not use condoms, OR=0.135, 95%CI: 0.040-0.460; use condoms every time, OR=0.076, 95%CI: 0.018-0.326) as factors affecting PEP behaviors among MSM.@*Conclusion@#MSM with different characteristics of sexual behaviors have different preferences for HIV regular testing and PEP, with homosexual behaviors in the past 6 months, sexual roles and sexual orientation being the main influencing factors.

2.
Braz. j. med. biol. res ; 52(6): e8399, 2019. graf
Статья в английский | LILACS | ID: biblio-1011582

Реферат

Imatinib is the first line of therapy for patients with metastatic or gastrointestinal stromal tumors (GIST). However, drug resistance limits the long-term effect of imatinib. Long non-coding RNAs (lncRNAs) are emerging as key players in regulating drug resistance in cancer. In this study, we investigated the association between lncRNA CCDC26 and IGF-1R in GIST and their involvement in drug resistance. Considering the key role of lncRNAs in drug resistance in cancer, we hypothesized that IGF-1R is regulated by lncRNAs. The expression of a series of reported drug resistance-related lncRNAs, including CCDC26, ARF, H19, NBR2, NEAT1, and HOTAIR, in GIST cells treated with imatinib H19 was examined at various time-points by qRT-PCR. Based on our results and published literature, CCDC26, a strongly down-regulated lncRNA following imatinib treatment, was chosen as our research target. GIST cells with high expression of CCDC26 were sensitive to imatinib treatment while knockdown of CCDC26 significantly increased the resistance to imatinib. Furthermore, we found that CCDC26 interacted with c-KIT by RNA pull down, and that CCDC26 knockdown up-regulated the expression of IGF-1R. Moreover, IGF-1R inhibition reversed CCDC26 knockdown-mediated imatinib resistance in GIST. These results indicated that treatments targeting CCDC26-IGF-1R axis would be useful in increasing sensitivity to imatinib in GIST.


Тема - темы
Humans , Receptors, Somatomedin/genetics , Drug Resistance, Neoplasm , Intracellular Signaling Peptides and Proteins/genetics , RNA, Long Noncoding/genetics , Imatinib Mesylate/pharmacology , Antineoplastic Agents/pharmacology , Signal Transduction , Down-Regulation/genetics , Gene Expression Regulation, Neoplastic , Receptors, Somatomedin/metabolism , Receptor, IGF Type 1 , Apoptosis , Cell Line, Tumor , Intracellular Signaling Peptides and Proteins/metabolism , RNA, Long Noncoding/metabolism , Flow Cytometry
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