Objective: To update the status of Gardnerella vaginalis(G. vaginalis) as a causative agent of bacterial vaginosis(BV) in Malaysia and to define its epidemiology, metronidazole resistance and virulence properties.Meth...Objective: To update the status of Gardnerella vaginalis(G. vaginalis) as a causative agent of bacterial vaginosis(BV) in Malaysia and to define its epidemiology, metronidazole resistance and virulence properties.Methods: It is a single-centre(Gynaecology clinic at the Hospital Kuala Lumpur,Malaysia) prospective study with laboratory-based microbiological follow up and analyses. Vaginal swabs collected from the patients suspected for BV were subjected to clinical BV diagnosis, isolation and identification of G. vaginalis, metronidazole susceptibility testing, vaginolysin and sialidase gene PCR, Piot's biotyping and amplified ribosomal DNA restriction analysis genotyping.Results: Among the 207 patients suspected for BV, G. vaginalis was isolated from 47 subjects. G. vaginalis coexisted with Trichomonas vaginalis and Candida albicans in 26 samples. Three G. vaginalis isolates were resistant to metronidazole. Biotyping revealed 1 and 7 as the common types. Amplified ribosomal DNA restriction analysis genotype II was found to be more common(n = 22; 46%) than I(n = 12; 25.53%) and III(n = 13;27.6%). All genotype I and III isolates carried the sialidase gene, while 91.6% and 84.6%contained the vaginolysin gene. Genotype I was significantly associated with postgynaecological surgical complications and abortions(P = 0.002).Conclusions: The existence of pathogenic G. vaginalis clones in Malaysia including drug resistant strains should not be taken lightly and needs to be monitored as these may bring more complications especially among women of child bearing age and pregnant women.展开更多
Dear Editor,As experts in gynecology and infertility research,we have witnessed the rapid advancement of artificial intelligence(Al)technologies,particularly language models,which have greatly improved their capabilit...Dear Editor,As experts in gynecology and infertility research,we have witnessed the rapid advancement of artificial intelligence(Al)technologies,particularly language models,which have greatly improved their capabilities.In this communication,we aim to compare the proficiency of advanced language models,such as Chat Generative Pre-Trained Transformer(ChatGPT)3.5,ChatGPT 4,and others,in relation to our field.展开更多
基金supported by Universiti Putra Malaysia through Research University Grant Scheme(RUGS 04-02-12-1756RU)
文摘Objective: To update the status of Gardnerella vaginalis(G. vaginalis) as a causative agent of bacterial vaginosis(BV) in Malaysia and to define its epidemiology, metronidazole resistance and virulence properties.Methods: It is a single-centre(Gynaecology clinic at the Hospital Kuala Lumpur,Malaysia) prospective study with laboratory-based microbiological follow up and analyses. Vaginal swabs collected from the patients suspected for BV were subjected to clinical BV diagnosis, isolation and identification of G. vaginalis, metronidazole susceptibility testing, vaginolysin and sialidase gene PCR, Piot's biotyping and amplified ribosomal DNA restriction analysis genotyping.Results: Among the 207 patients suspected for BV, G. vaginalis was isolated from 47 subjects. G. vaginalis coexisted with Trichomonas vaginalis and Candida albicans in 26 samples. Three G. vaginalis isolates were resistant to metronidazole. Biotyping revealed 1 and 7 as the common types. Amplified ribosomal DNA restriction analysis genotype II was found to be more common(n = 22; 46%) than I(n = 12; 25.53%) and III(n = 13;27.6%). All genotype I and III isolates carried the sialidase gene, while 91.6% and 84.6%contained the vaginolysin gene. Genotype I was significantly associated with postgynaecological surgical complications and abortions(P = 0.002).Conclusions: The existence of pathogenic G. vaginalis clones in Malaysia including drug resistant strains should not be taken lightly and needs to be monitored as these may bring more complications especially among women of child bearing age and pregnant women.
文摘Dear Editor,As experts in gynecology and infertility research,we have witnessed the rapid advancement of artificial intelligence(Al)technologies,particularly language models,which have greatly improved their capabilities.In this communication,we aim to compare the proficiency of advanced language models,such as Chat Generative Pre-Trained Transformer(ChatGPT)3.5,ChatGPT 4,and others,in relation to our field.
