Molecular diagnosis of rhino-orbito-cerebral mucormycosis from fresh tissue samples

J Med Microbiol. 2017 Aug;66(8):1124-1129. doi: 10.1099/jmm.0.000560. Epub 2017 Aug 9.

Abstract

Purpose: We aimed to evaluate a PCR-based technique for the diagnosis of mucormycosis and the identification of fungi from fresh tissue specimens in patients with rhino-orbito-cerebral-mucormycosis (ROCM).

Methodology: Fifty cases of ROCM were included in the study. Conventional identification was performed using microscopy and culture. Molecular diagnosis was performed by amplifying the ribosomal DNA using pan-fungal ITS primers and semi-nested Mucorales-specific primers of the 18S region. The amplified products were sequenced to identify the agents. The utility of PCR-RFLP of the 18S region of rDNA was evaluated to identify the Mucorales.

Results: The ROCM cases were diagnosed by the demonstration of aseptate ribbon-like hyphae in biopsy specimens collected from the patients. Isolation was possible in 24 (48 %) samples. The ITS2 PCR confirmed mucormycosis in 27 cases (54 %; CI 59.4-68.2). By comparison, Mucorales-specific PCR was able to amplify DNA and the sequence enabled the identification of Mucorales speciesin all the patients. PCR-RFLP of the 18S region of rDNA could only identify the agent to genus level.

Conclusion: The molecular technique was able to identify Mucorales species in 26 (42 %) cases that were negative by culture. Mucorales-specific semi-nested PCR targeting the 18S region is a better technique than ITS2 PCR for diagnosis. PCR-RFLP of the 18S region helps in identification to genus level.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Child
  • Child, Preschool
  • DNA Primers / genetics
  • DNA, Fungal / genetics
  • Female
  • Humans
  • Male
  • Middle Aged
  • Mucorales / genetics
  • Mucorales / isolation & purification*
  • Mucormycosis / diagnosis*
  • Mucormycosis / microbiology
  • Nasal Cavity / microbiology*
  • Polymerase Chain Reaction
  • Young Adult

Substances

  • DNA Primers
  • DNA, Fungal