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Record W883499216

Mixed Fungal Infection by Sporothrix schenckii and Cryptococcus albidus in a Dog

2011· article· en· W883499216 on OpenAlexaboutno aff
Isabel Martins Madrid, Renata Osório de Faria, Tatiana de Ávila Antunes, Maria da Graça Bettanzos, Ângela Leitzke Cabana, Mário Carlos Araújo Meireles

Bibliographic record

VenueACTA SCIENTIAE VETERINARIAE · 2011
Typearticle
Languageen
FieldMedicine
TopicFungal Infections and Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSporotrichosisSporothrix schenckiiCryptococcosisSporothrixDimorphic fungusMedicineCryptococcus neoformansMycosisPathologyVeterinary medicineBiologyMicrobiologySurgery
DOInot available

Abstract

fetched live from OpenAlex

Background: The dimorphic fungus Sporothrix schenckii and the yeasts of the Cryptococcus complex are important fungal pathogens of humans and animals that cause sporotrichosis and cryptococcosis, respectively. Both fungi are saprophytes of soils rich in organic matter and infect the host through traumatic injuries and/or inhalation. Sporotrichosis has been recognized as an important disease in the small animal clinic and in public health. Cases of this mycosis in cats and dogs have been reported in various Brazilian States. Our research group diagnosed eleven cases of sporotrichosis in dogs in Rio Grande do Sul in a five-year period. On the other hand, clinical cases of cryptococcosis in dogs and cats have not often been described in Brazil. In addition, infections caused by non-neoformans species have rarely been reported throughout the world. The aim of this study is to describe the first case of concomitant infection by Sporothrix schenckii and Crypto- coccus albidus in a dog. Case: In 2008, a veterinary clinic of Rio Grande municipality received a 5-year-old female Dalmatian which had presented an increase of the nasal plan, sneezing, dyspnea and a serous nasal discharge for 30 days. Upon clinical examination, abnormalities in retal temperature, cardiopulmonary auscultation and frequency of the animal were not observed. The presence of an eritematous non-ulcerated mass partially occluding the airways was verified in the nasal cavity. Differential diagnosis included sporotrichosis, cryptococcosis and transmissible venereal tumor (TVT). Diagnosis confirmation was performed by laboratory tests which included radiographic, cytological and mycological analyses. The nasal radiograph revealed a mass of 20 mm in diameter with adjacent bone compromising. Ovoid and round cells suggestive of yeasts were found in cytology. Colonies with macroscopic and microscopic morphology compatible with Sporothrix schenckii and Cryptococcus albidus were obtained in mycological analysis. Confirmation of the species C. albidus was obtained by the API32 commercial system. Antifungal therapy with itraconazole at a 10 mg kg -1 oral dosage for 90 days was successfully performed, resulting in the regression of the lesions. Discussion: Sporotrichosis has been frequently diagnosed in cats and dogs in the south and southeast of Brazil. However, mixed infection cases with Sporothrix schenckii are rare. In Brazil, one case was described in a cat with sporotrichosis, demodicosis and pediculosis which was co-infected with the feline immunodeficiency virus (FIV) and feline leukemia virus (FeLV). Mixed fungal infection by Cryptococcus neoformans and was described only in a dog in Canada that presented lesions similar to those reported in this study. Cryptococcosis cases in animals and humans caused by non-neoformans species with C. albidus and C. magnus have been described worldwide. Systemic, renal and cutaneous infections by C. albidus have been reported in dogs, cats and horses. The present study reports the first case of a concomitant infection of Sporothrix schenckii and Cryptococcus albidus in a dog, and warns small animal doctors of the importance of laboratory exams so that a final infectious disease diagnosis, especially of fungal infections, can be reached.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.059
GPT teacher head0.277
Teacher spread0.218 · 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 designObservational
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
Published2011
Admission routes1
Has abstractyes

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