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Multi-Locus Sequence Typing–Based Genetic Analysis, Antifungal Resistance, and Clinical Prognosis of Cryptococcus neoformans Infections in HIV-Infected Patients in Northern China

新生隐球菌 伊曲康唑 盖蒂隐球菌 隐球菌 氟康唑 两性霉素B 微生物学 生物 隐球菌病 抗真菌药 伏立康唑 抗药性 打字 病毒学 抗真菌
作者
Fangfang Dai,Yanhua Yu,Xinxin Lu
出处
期刊:American Journal of Tropical Medicine and Hygiene [American Society of Tropical Medicine and Hygiene]
标识
DOI:10.4269/ajtmh.24-0242
摘要

This study aimed to investigate the molecular epidemiological characteristics and drug sensitivity of Cryptococcus from HIV-infected patients and their relationship with patients’ prognosis. Seventy-six strains were collected and identified to the species level by matrix-assisted laser desorption ionization – time of flight mass spectrometry, confirmed by internal transcribed spacer sequencing. Multi-locus sequence typing was used for the typing of Cryptococcus , and its antifungal susceptibility was tested using FUNGUS 3. The clinical outcomes of the patients were reviewed at 3-, 6-, 9-, and 12-month follow-ups. All strains were Cryptococcus neoformans var. grubii classified into seven sequence types (STs) dominated by ST5, ST31, and a new ST702 strain. The 6- and 9-month survival rates were highest for patients infected with ST31, ST32, and ST174. The antifungal resistant rates were 13.2%, 2.6%, and 1.4% for fluconazole, amphotericin B, and 5-fluorocytosine. Except itraconazole, the minimum inhibitory concentration (MIC) values and wild type (WT)/non–wild type (NWT) of Cryptococcus for antifungal drugs were not related to the clinical prognosis of HIV-infected patients with cryptococcal infection. ST5 was the main ST type, and the new ST702 type was found in a patient who died in a short period of time. Cryptococcus neoformans var. grubii had a relatively high antifungal drug resistance rate to fluconazole. The WT strain accounted for the highest proportions for 5-fluorocytosine, amphotericin B, fluconazole, voriconazole, and itraconazole. The MIC values of Cryptococcus for first-line antifungal drugs showed no relationship with clinical prognosis, implying that MIC values cannot be used to predict the clinical outcome of these patients.

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