Pathogenesis and Pathology of COVID-Associated Mucormycosis: What Is New and Why.

COVID-associated mucormycosis Corticosteroids Diabetes mellitus Melanization of Mucorales hyphae Sporangia on histopathology

Journal

Current fungal infection reports
ISSN: 1936-3761
Titre abrégé: Curr Fungal Infect Rep
Pays: United States
ID NLM: 101306636

Informations de publication

Date de publication:
2022
Historique:
accepted: 21 09 2022
pubmed: 5 10 2022
medline: 5 10 2022
entrez: 4 10 2022
Statut: ppublish

Résumé

There is global increase in the incidence of mucormycosis. However, a sudden increase in the COVID-associated mucormycosis (CAM) was noted, particularly in India, during the second wave of the COVID-19 pandemic. The interplay of factors involved in the pathogenesis is complex. In this review, the influence of pre-existing disease, exaggerated risk factors, altered milieu due to COVID-19 itself and the consequences of its treatment on the host pathogen interactions leading to the disease and morphology of the fungus will be highlighted. Hyperglycemia, acidosis, available free iron, lowered host defenses, and the fungal virulence factors promote the growth of Mucorales. There is a high background prevalence of diabetes mellitus (DM) in India. Uncontrolled or undiagnosed DM, COVID-19 itself, and inappropriate administration of corticosteroids in high doses and for prolonged periods result in hyperglycemia. Diabetic ketoacidosis (DKA) and metabolic acidosis due to hypoxia or renal failure contribute to acidic pH and dissociate bound iron from serum proteins. The host defenses are lowered due to COVID-19-induced immune dysregulation, hyperglycemia itself, and administration of corticosteroids and immune suppressants for the treatment of COVID-19. The altered metabolic milieu in the local microenvironment of nose and paranasal sinuses (PNS) promotes specific interaction of glucose-regulated protein-78 (GRP-78) on host cells with spore coat protein homologue (CotH 3) on Mucorales resulting in rhino-orbito-cerebral mucormycosis (ROCM) as the predominant clinical form in CAM. The pathology is extensive soft tissue involvement with angioinvasion and perineural invasion. Melanized hyphae and sporangia were seen on histopathology, which is unique to CAM. While many factors favor the growth of Mucorales in CAM, hyperglycemia, hyperferritinemia, and administration of hyperbaric oxygen result in reactive oxygen species (ROS) and inadequate humidification results in dehydration. Melanization is possibly the adaptive and protective mechanism of Mucorales to escape the unfavorable conditions due to the treatment of COVID-19. High background prevalence of DM, inappropriate administration of corticosteroids and immune dysregulation due to COVID-19 favor the growth of Mucorales in CAM. Melanization of Mucorales hyphae and sporangia on histopathology probably represent adaptive and protective mechanism due to the treatment with hyperbaric oxygen with inadequate humidification as well as the metabolic alterations.

Identifiants

pubmed: 36193101
doi: 10.1007/s12281-022-00443-z
pii: 443
pmc: PMC9520103
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

206-220

Informations de copyright

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Déclaration de conflit d'intérêts

Conflict of InterestThe authors declare no competing interests.

Auteurs

Bishan Radotra (B)

Department of Histopathology, Group "C" Departments, Postgraduate Institute of Medical Education & Research, Chandigarh, 160012 India.

Sundaram Challa (S)

Department of Pathology and Lab Medicine, Basavatarakam Indo-American Cancer Hospital & Research Institute, Hyderabad, Telangana State 50034 India.

Classifications MeSH