Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been used in the field of clinical microbiology since 2010. Compared with the traditional technique of biochemical identification, MALDI-TOF MS has many advantages, including convenience, speed, accuracy, and low cost. The accuracy and speed of identification using MALDI-TOF MS have been increasing with the development of sample preparation, database enrichment, and algorithm optimization. MALDI-TOF MS has shown promising results in identifying cultured colonies and rapidly detecting samples. MALDI-TOF MS has critical research applications for the rapid detection of highly virulent and drug-resistant pathogens. Here we present a scientific review that evaluates the performance of MALDI-TOF MS in identifying clinical pathogenic microorganisms. MALDI-TOF MS is a promising tool in identifying clinical microorganisms, although some aspects still require improvement.

Candida parapsilosis was the most common species causing candidemia in the 2010 China Hospital Invasive Fungal Surveillance Net (CHIF-NET) database. Compared to Candida albicans, the description of azole resistance and mechanisms in C. parapsilosis is very limited. We report a patient with C. parapsilosis candidemia over several months, due to a probable intravascular source, who developed fluconazole resistance after prolonged treatment. An 82 year-old male had a hospital admission of approximately 1.5 years duration. He was initially admitted with acute pancreatitis. Prior to succumbing to the illness, he developed candidemia and treated with three antifungal drugs for nearly 5 months, at suboptimal doses and without source control. Following treatment, 6 blood cultures were still positive for C. parapsilosis. The last 2 strains were resistant to fluconazole (MICs 32 μg/mL) and intermediate to voriconazole (MICs 0.5 μg/mL). Microsatellite multilocus analysis indicated that the 6 isolates from the patient belonged to a single genotype. The first 4 isolates were susceptible to fluconazole (MICs 2 μg/mL) and voriconazole (MICs 0.015-0.03 μg/mL), which were slightly higher than susceptible control strains from other patients. Overexpression of MDR1 genes were detected in the two resistant isolates, and this was associated with a homozygous mutation in MRR1 genes (T2957C /T2957C), with the amino acid exchange L986P. This case corroborates that the resistant C. parapsilosis isolates can emerge in the setting of complicated infections and the extensive use of antifungal agents, emphasizing the need for standardizing and improving the antifungal treatment as well as source control in the treatment of infection diseases.

Filamentous fungi identification by Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been challenging due to the lack of simple and rapid protein extraction methods and insufficient species coverage in the database. In this study, we created two rapid protein extraction methods for filamentous fungi: a one-step zirconia-silica beads method (ZSB) and a focused-ultrasonication method (FUS). The identification accuracy of two methods were evaluated with the VITEK MS, as well as number of spectra peaks and signal-to-noise ratio (S/N) with M-Discover 100 MALDI-TOF MS compared to the routine method. The better method was applied to build a filamentous fungi in-house spectra library for the M-Discover 100 MS, and then another one and routine method were performed in parallel to verify the accuracy and commonality of the in-house library. Using the two optimized methods, the dedicated operating time before MALDI-TOF MS analysis was reduced from 30 min to 7 (ZSB) or 5 (FUS) min per sample, with only a few seconds added for each additional strain. And both two methods identified isolates from most mold types equal to or better than the routine method, and the total correct identification rate using VITEK MS was 79.67, 76.42, and 76.42%, respectively. On the other hand, the two rapid methods generally achieved higher maximum and minimum S/N ratios with these isolates tested as compared to the routine method. Besides, the ZSB method produced overall mean of maximum and minimum S/N ratio higher than that by FUS. An in-house library of M-Discover MS was successfully built from 135 isolates from 42 species belonging to 18 genera using the ZSB method. Analysis of 467 isolates resulted in 97.22% correctly identified isolates to the species level by the ZSB method versus 95.50% by the routine method. The two novel methods are time- and cost-effective and allow efficient identification of filamentous fungi while providing a simplified procedure to build an in-house library. Thus, more clinical laboratories may consider adopting MALDI-TOF MS for filamentous fungi identification in the future.

The incidence of new infections caused by rare Candida species has been steadily increasing, particularly in immunocompromised patients. This study investigates two rare Candida species responsible for Candida bloodstream infections and explores their molecular characteristics. Clinical Candida strains were continuously isolated from the lower respiratory tract and blood specimens of a patient. Identification was performed using conventional culture techniques, ITS sequencing, and whole-genome sequencing. Additionally, antifungal susceptibility testing, phylogenetic analysis, macrophage survival assays, and in vivo survival experiments were conducted to evaluate the antifungal resistance, infection source, and pathogenicity of the isolates. Molecular identification confirmed that the RP (pinkish-purple colonies from respiratory specimens), RW (pinkish-white colonies from respiratory specimens), and BP (pinkish-purple colonies from peripheral blood) strains were Candida nonsorbophila, while the BW (pinkish-white colonies from peripheral blood) strain was identified as Candida sonorensis. Phylogenetic analysis revealed that the RP strain from the lower respiratory tract and the BP strain from the bloodstream belonged to the same clonal lineage, suggesting that the pulmonary isolate entered the bloodstream, resulting in candidemia. Antifungal susceptibility testing showed that C. nonsorbophila RW strain exhibited significant resistance to fluconazole, likely due to the E70D mutation in the ERG11 gene. Both C. sonorensis and C. nonsorbophila exhibited relatively weak virulence, with no significant differences in pathogenicity between single-strain infections and mixed infections of both species (P > 0.05). This study successfully isolated C. nonsorbophila and C. sonorensis from clinical specimens, providing detailed microbiological and molecular characterization. Rare fungal infections in immunocompromised patients require careful consideration.