ArticlePLoS neglected tropical diseases2019
Chaetomium atrobrunneum causing human eumycetoma: The first report.
Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 20 citations in OpenAlex.
- Evaluation of two MALDI-TOF MS systems and extraction methods for identification of filamentous fungi recovered from clinical specimens.Journal of clinical microbiology · 2025Article
- A study of case management challenge for black grain eumycetoma during the ongoing war in Sudan.Clinical case reports · 2024Article
- Mycetoma and the environment.PLoS neglected tropical diseases · 2023Review
- Epidemiologic Aspects of Mycetoma in Africa.Journal of fungi (Basel, Switzerland) · 2022Review
- Detection of multiple mycetoma pathogens using fungal metabarcoding analysis of soil DNA in an endemic area of Sudan.PLoS neglected tropical diseases · 2022Article
- Pseudocanariomyces americanus, gen. nov., sp. nov., A New Thielavia-Like Species in the Chaetomiaceae: Identification and Management of a Prosthetic Hip Infection.Mycopathologia · 2021Article
- Subcutaneous Mycoses in Travelers.Current tropical medicine reports · 2020Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this communication, a case of black grain eumycetoma produced by the fungus C. atrobrunneum is reported. The patient was initially misdiagnosed with M. mycetomatis eumycetoma based on the grains' morphological and cytological features. However, further aerobic culture of the black grains generated a melanised fungus identified as C. atrobrunneum by conventional morphological methods and by internal transcribed spacer 2 (ITS2) ribosomal RNA gene sequencing. This is the first-ever report of C. atrobrunneum as a eumycetoma-causative organism of black grain eumycetoma. It is essential that the causative organism is identified to the species level, as this is important for proper patient management and to predict treatment outcome and prognosis.
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Registered trials
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