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Record W4417361913 · doi:10.1111/cup.70038

Hidden in Granulomatous Inflammation: Histopathologic Challenges of Cutaneous <i>Balamuthia mandrillaris</i> Infection—A Canadian Case Report

2025· article· en· W4417361913 on OpenAlexaffabout
Nicole Vienneau, Clayton MacDonald, Mohanpal Dulai, Lorne N. Small, Aimi T. Rothrock, Kaitlin Vanderbeck

Bibliographic record

VenueJournal of Cutaneous Pathology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLegionella and Acanthamoeba research
Canadian institutionsQueen's UniversityUniversity of TorontoTrillium Health Centre
Fundersnot available
KeywordsGranulomatous inflammationBiopsySkin biopsyGiant cellDiseaseAutopsySkin lesionChronic granulomatous disease

Abstract

fetched live from OpenAlex

Balamuthia mandrillaris is a rare cause of cutaneous amebiasis that can progress to central nervous system infection, almost always resulting in death. It is a free-living, opportunistic ameba found globally in dust, soil, and freshwater that can infect people of all ages regardless of the status of the host immune system. Herein, we report a case of B. mandrillaris infection in Canada in an 83-year-old man presenting to the hospital with altered mental status and a chronic wound of 4-year duration. A skin biopsy of the chronic wound revealed extensive dermal granulomatous and mixed inflammatory infiltrate with abundant multinucleated giant cells. Inspection of multiple level sections revealed structures concerning for amebic trophozoites. After the patient's death, lesional tissue from the skin and brain was sent to the Centers for Disease Control (CDC) for further subtyping, which confirmed B. mandrillaris as the causative organism. This case raises awareness for this organism as a possible cause of cutaneous infections and highlights the necessity for dermatopathologists and pathologists alike to have a heightened suspicion for amebic infections when non-specific granulomatous inflammation is identified in the skin.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.264
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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