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Immunohistochemical Cross-Reactivity Between Arthrographis kalrae and Highly Pathogenic Coccidioides posadasii, Histoplasma capsulatum, and Paracoccidioides Fungal Species.

Godai ShumotoLuciene Airy NagashimaEiko Nakagawa ItanoTomoko MinakawaKeiichi UedaAyako Sano
Published in: Mycopathologia (2019)
Recently, we have reported serological cross-reactivity between paracoccidioidomycosis ceti and paracoccidioidomycosis, histoplasmosis, and coccidioidomycosis. However, data on the interaction of Arthrographis kalrae with the above pathogenic fungal infections are lacking. A. kalrae is a widely occurring ascomycetous fungus; causes superficial and deep mycoses; shows thermally dependent dimorphism; and has a genomic profile related to the above-mentioned fungal species. Our study aims to investigate cross-reactivity using eight murine sera, obtained from experimental infection with two A. kalrae isolates. The murine sera were incubated with fungal cells of A. kalrae, Coccidioides posadasii, Histoplasma capsulatum, Paracoccidioides sp., and P. brasiliensis. Thirty murine sera, obtained from experimental infection with six isolates of H. capsulatum, sera from three cases of dolphin paracoccidioidomycosis ceti, two human sera from patients with paracoccidioidomycosis, and a serum sample from a healthy person with a history of coccidioidomycosis, were also incubated with A. kalrae fungal cells and the respective fungal cells that caused the infection as positive controls. Sera derived from the mice infected with A. kalrae reacted strongly when incubated with the Paracoccidioides sp., P. brasiliensis, and C. posadasii, but no positive reaction was observed against the fungal cells of H. capsulatum. The murine sera infected with three out of six isolates of H. capsulatum, and all cetacean and human serum samples reacted positively with the fungal cells of A. kalrae. The present study demonstrated serological cross-reactions among A. kalrae infection, coccidioidomycosis, paracoccidioidomycosis, paracoccidioidomycosis ceti, and histoplasmosis.
Keyphrases
  • induced apoptosis
  • cell cycle arrest
  • machine learning
  • skeletal muscle
  • genetic diversity
  • copy number
  • electronic health record