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Comparative transcriptome and proteome analysis of resistant and susceptible Talaromyces marneffei clinical isolates reveals a systemic multitiered defense network against azoles

Sep 2026 · Antimicrobial Agents and Chemotherapy · Vol 70 · 0 citations · 51 references
Medicine

TL;DR

A hierarchical azole-resistance model in T. marneffei is refined and a focused candidate panel for future mechanistic validation is provided to provide a focused candidate panel for future mechanistic validation.

Abstract

ABSTRACT Talaromyces marneffei is a thermally dimorphic fungus causing life-threatening systemic mycosis in immunocompromised patients. The emergence of azole-resistant clinical isolates, especially those with reduced susceptibility to voriconazole (VOC) and fluconazole (FLC), presents a critical therapeutic challenge. Although target-gene alterations and efflux-related mechanisms have been reported in pathogenic fungi, the broader molecular basis distinguishing high-minimum-inhibitory concentration (MIC) and low-MIC T. marneffei clinical isolates remains incompletely defined. Here, we performed integrated transcriptomic (RNA-seq), proteomic (DIA-LC-MS/MS), and RT-qPCR analyses comparing four resistant and four susceptible T. marneffei clinical isolates. Differentially expressed genes and proteins were identified, functionally interpreted, and integrated to prioritize resistance-associated molecular candidates. The multi-omics results supported a constitutive, multitiered resistance-associated state involving transport and cell wall processes, redox-detoxification, mitochondrial metabolism, and stress regulatory adaptation. Signals involving coilin, CatA, and other discriminant features contributed to the multi-omics prioritization layer. RT-qPCR supported a 17-gene panel associated with transport, redox-detoxification, mitochondrial metabolism, and stress regulation. Five genes, PMAA_008970, PMAA_058960, PMAA_070510, PMAA_088690, and PMAA_092180, showed statistically significant R/S differences, while the remaining panel members were detectable and trend-supporting within the same functional framework. These findings refine a hierarchical azole-resistance model in T. marneffei and provide a focused candidate panel for future mechanistic validation.

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