Disseminated Cryptococcosis Presenting as Cellulitis Diagnosed by Laser Capture Microdissection: A Case Report and Literature Review

The use of combined PCR, fluorescence in situ hybridisation and immunohistochemical staining to diagnose mucormycosis from formalin-fixed paraffin-embedded tissues

OBJECTIVE

To develop a comprehensive diagnostic system for mucormycosis from formalin-fixed paraffin-embedded tissues, consisting of own-designed real-time polymerase chain reaction (PCR) assays, fluorescence in situ hybridisation, and immunohistochemical staining.

METHODS

We designed 11 primers and probes for specific real-time PCR assays based on genome sequences, and validated the specificity by Aspergillus, Fusarium, Scedosporium, Lomentospora, Cryptococcus and Candida species. Formalin-fixed paraffin-embedded (FFPE) tissues from forty-four mouse model infected by above fungi were collected and extracted DNA by laser capture microdissection (LCM) and direct extraction methods for real-time PCR assays. In addition, seventeen clinical specimens histopathologically proven for mucormycosis were included for specific detection with the new diagnostic system.

RESULTS

The real-time PCR assays allowed detection of a minimum of 10 CFU/ml equivalent gDNA of each species. No cross-reaction with gDNA among species was noted. From mouse model specimens, the sensitivity of real-time PCR in samples extracted with LCM versus direct extraction method was 100% versus 91.43% at Mucorales level and 80% versus 45.71% at species level, respectively. The specificity was 100%. From clinical samples, LCM combined with real-time PCR can test 88.24% (15/17) of Mucorales. Sensitivities of fluorescence in situ hybridisation (FISH) and immunohistochemical staining (IHC) were 70.59% and 41.18%, respectively. Combined LCM-RT-PCR, FISH and IHC yielded positive results in all samples.

CONCLUSIONS

The combination diagnostic system we developed is a culture-independent and robust method which enables rapid species identification from FFPE tissues for timely diagnosis of mucormycosis.

Rapid Genomic Diagnosis of Fungal Infections in the Age of Next-Generation Sequencing

Next-generation sequencing (NGS) technologies have recently developed beyond the research realm and started to mature into clinical applications. Here, we review the current use of NGS for laboratory diagnosis of fungal infections. Since the first reported case in 2014, >300 cases of fungal infections diagnosed by NGS were described. Pneumocystis jirovecii is the predominant fungus reported, constituting ~25% of the fungi detected. In ~12.5% of the cases, more than one fungus was detected by NGS. For P. jirovecii infections diagnosed by NGS, all 91 patients suffered from pneumonia and only 1 was HIV-positive. This is very different from the general epidemiology of P. jirovecii infections, of which HIV infection is the most important risk factor. The epidemiology of Talaromyces marneffei infection diagnosed by NGS is also different from its general epidemiology, in that only 3/11 patients were HIV-positive. The major advantage of using NGS for laboratory diagnosis is that it can pick up all pathogens, particularly when initial microbiological investigations are unfruitful. When the cost of NGS is further reduced, expertise more widely available and other obstacles overcome, NGS would be a useful tool for laboratory diagnosis of fungal infections, particularly for difficult-to-grow fungi and cases with low fungal loads.