A case of primary cutaneous Cryptococcus neoformans infection.

BACKGROUND: Cryptococcosis is an infectious disease caused by encapsulated heterobasidiomycete yeasts. As an opportunistic pathogen, cryptococcal inhalation infection is the most common. While Primary cutaneous cryptococcosis is extremely uncommon. CASE PRESENTATION: A 61-year-old woman with a history of rheumatoid arthritis on long-term prednisone developed a red plaque on her left thigh. Despite initial antibiotic treatment, the erythema worsened, leading to rupture and fever. Microbiological analysis of the lesion's secretion revealed Candida albicans, Pseudomonas aeruginosa, and methicillin-resistant Staphylococcus epidermidis. Skin biopsy showed thick-walled spores, and culture confirmed primary cutaneous infection with Cryptococcus neoformans. Histopathological stains were positive, and mass spectrometry identified serotype A of the pathogen. The patient was treated with oral fluconazole and topical nystatin, resulting in significant improvement and near-complete healing of the skin lesion within 2.5 months. CONCLUSIONS: Primary cutaneous cryptococcosis was a primary skin infection exclusively located on the skin. It has no typical clinical manifestation of cutaneous infection of Cryptococcus, and culture and histopathology remain the gold standard for diagnosing. The recommended medication for Primary cutaneous cryptococcosis is fluconazole. When patients at risk for opportunistic infections develop skin ulcers that are unresponsive to antibiotic, the possibility of primary cutaneous cryptococcosis needs to be considered.

A decision support system for the detection of cutaneous fungal infections using artificial intelligence.

Cutaneous fungal infections are one of the most common skin conditions, hence, the burden of determining fungal elements upon microscopic examination with periodic acid-Schiff (PAS) and Gomori methenamine silver (GMS) stains, is very time consuming. Despite some morphological variability posing challenges to training artificial intelligence (AI)-based solutions, these structures are favored potential targets, enabling the recruitment of promising AI-based technologies. Herein, we present a novel AI solution for identifying skin fungal infections, potentially providing a decision support system for pathologists. Skin biopsies of patients diagnosed with a cutaneous fungal infection at the Sheba Medical Center, Israel between 2014 and 2023, were used. Samples were stained with PAS and GMS and digitized by the Philips IntelliSite scanner. DeePathology® STUDIO fungal elements were annotated and deemed as ground truth data after an overall revision by two specialist pathologists. Subsequently, they were used to create an AI-based solution, which has been further validated in other regions of interests. The study participants were divided into two cohorts. In the first cohort, the overall sensitivity of the algorithm was 0.8, specificity 0.97, F1 score 0.78; in the second, the overall sensitivity of the algorithm was 0.93, specificity 0.99, F1 score 0.95. The results obtained are encouraging as proof of concept for an AI-based fungi detection algorithm. DeePathology® STUDIO can be employed as a decision support system for pathologists when diagnosing a cutaneous fungal infection using PAS and GMS stains, thereby, saving time and money.

Cutaneous mucormycosis infection owing to Rhizomucor variabilis presenting as recurrent lower limb ulceration and cellulitis in a diabetic patient.

Primary cutaneous mucormycosis is caused by environmental fungi and may complicate leg ulcers or traumatic wounds even in immunocompetent individuals. This case report highlights recurrent lower limb ulcers and cellulitis in a patient with type two diabetes mellitus, which was unresponsive to conventional antibiotic treatment. Histopathology revealed the diagnosis of cutaneous mucormycosis, and fungal cultures identified Rhizopus variabilis as the causative organism. Initial courses of oral azole antifungals yielded only partial response and he eventually required more aggressive treatment with i.v. amphotericin B and oral posaconazole. Good treatment outcomes for this condition require a high index of clinical suspicion, early histopathological and microbiological diagnosis, targeted systemic antifungal therapy, and surgical debridement if necessary.

Cutaneous fusarium disease and leukaemias: A systematic review.

The present study analyses the clinical characteristics of patients diagnosed with cutaneous fusarium through a systematic review of cases reported in literature. A total of 39 cases were included, of which 53% were men, 30% were women, and in 17% the sex was not specified. The age ranged from 5 to 85 years. Most cases were reported in Brazil, followed by Japan and United States of America. The most common agent was Fusarium solani, in 37.5% of the patients. Most of the affected individuals had acute myeloid leukaemia and some of the predisposing factors, which included induction chemotherapy, febrile neutropenia, and bone marrow transplantation. The clinical topography of the lesions was located in 27.5% and disseminated in 72.5%, with the most observed clinical feature outstanding the presence of papules and nodules with central necrosis in 47% of the cases. Longer survival was demonstrated in those treated with more than three antifungals. It is concluded that cutaneous fusarium is a complex and challenging clinical entity, infection in patients with leukaemias underscores the need for thorough care to decrease morbidity and mortality.

Primary Cutaneous Cryptococcosis in an Elderly Patient: A Case Report and Review of Literature.

ABSTRACT: This article reports an elderly male patient with nodules and ulcers on the face and behind the left ear after trauma. Primary cutaneous cryptococcosis was confirmed using pathological biopsy, special staining, tissue culture, and fungal sequencing. The patient received a therapeutic intervention involving the administration of the antifungal agent itraconazole. Substantial amelioration of cutaneous manifestations was observed after a 3-month course of treatment. After an elapsed interval, the patient was diagnosed with esophageal tumor. Moreover, the literature on 33 patients with primary cutaneous cryptococcosis published in the past 10 years was also reviewed.

Clinical Characteristics and Pathogen Spectrum of Male Genital Fungal Infections in Nanchang Area, South China.

The cutaneous fungal infections in male genitalia are relatively rare, and often present with various atypical clinical symptoms. It was mainly reported in a small number of case reports, while data with large number of patients were rarely reported. In this study, we reported 79 male patients with cutaneous fungal infections on scrotum or penis. The fungal infections were confirmed by microscopic examination directly and fungus culture. Clinical characteristics and predisposing factors were also collected. Of these 79 patients, 72 has lesions on scrotum, 5 on penis and 2 on both scrotum and penis. Trichophyton (T.) rubrum is the most common pathogen, found in 50 (67.6%) patients, which presented diverse clinical manifestation such as majorly erythematous, dry diffused scaly lesions without a clear border, slightly powdery and scutular scalings. Candida (C.) albicans is the secondly common pathogen, found in 21 (28.4%) patients, which also presented diverse lesions such as erythematous with dry whitish scaly lesions and erythematous erosion. The predisposing factors mainly included concomitant fungal infections on sites other than genitalia, especially inguinal region (tinea cruris), application of corticosteroid and high moisture. In conclusion, cutaneous fungal infections in male genitalia could be caused by different fungi, showed atypical or mild clinical appearances in most cases and might be a fungus reservoir, emphasizing the necessity to timely perform the fungi examinations and corresponding therapy.

Facial cutaneous phaeohyphomycosis in an immunocompetent individual.

ABSTRACT: Fungal infection is a rare condition in immunocompetent individuals, and it is associated with high rates of morbidity and mortality. We report on a case of cutaneous phaeohyphomycosis in healthy 25-year-old man. Based on the clinical findings, the case was first thought to be cervico-facial actinomycosis, but Alternaria was identified on the culture after debridement. Simple surgical excision resulted in the complete cure without administration of systemic antifungals.

Dermatopathology and the Diagnosis of Fungal Infections.

Diagnosis of superficial/cutaneous fungal infections from skin, hair and nail samples is generally achieved using microscopy and culture in a microbiology laboratory, however, any presentation that is unusual or subcutaneous is sampled by taking a biopsy. Using histological techniques a tissue biopsy enables a pathologist to perform a full examination of the skin structure, detect any inflammatory processes or the presence of an infectious agent or foreign body. Histopathological examination can give a presumptive diagnosis while a culture result is pending, and may provide valuable diagnostic information if culture fails. This review demonstrates how histopathology contributes to the diagnosis of fungal infections from the superficial to the life threatening.

Fungal Skin Disease Classification Using the Convolutional Neural Network.

Skin is the outer cover of our body, which protects vital organs from harm. This important body part is often affected by a series of infections caused by fungus, bacteria, viruses, allergies, and dust. Millions of people suffer from skin diseases. It is one of the common causes of infection in sub-Saharan Africa. Skin disease can also be the cause of stigma and discrimination. Early and accurate diagnosis of skin disease can be vital for effective treatment. Laser and photonics-based technologies are used for the diagnosis of skin disease. These technologies are expensive and not affordable, especially for resource-limited countries like Ethiopia. Hence, image-based methods can be effective in reducing cost and time. There are previous studies on image-based diagnosis for skin disease. However, there are few scientific studies on tinea pedis and tinea corporis. In this study, the convolution neural network (CNN) has been used to classify fungal skin disease. The classification was carried out on the four most common fungal skin diseases: tinea pedis, tinea capitis, tinea corporis, and tinea unguium. The dataset consisted of a total of 407 fungal skin lesions collected from Dr. Gerbi Medium Clinic, Jimma, Ethiopia. Normalization of image size, conversion of RGB to grayscale, and balancing the intensity of the image have been carried out. Images were normalized to three sizes: 120 × 120, 150 × 150, and 224 × 224. Then, augmentation was applied. The developed model classified the four common fungal skin diseases with 93.3% accuracy. Comparisons were made with similar CNN architectures: MobileNetV2 and ResNet 50, and the proposed model was superior to both. This study may be an important addition to the very limited work on the detection of fungal skin disease. It can be used to build an automated image-based screening system for dermatology at an initial stage.

Development, preparation, and evaluation of a novel non-adjuvanted polyvalent dermatophytes vaccine.

Ringworm is a worldwide distributed contagious disease infecting both man and animals that constitute an economic, zoonotic, and health problem concern all over the world. During the last decade, attention has been directed to vaccination as an ideal approach to the control of such diseases. In the present study, non-adjuvanted polyvalent vaccines were prepared from locally isolated hot and virulent dermatophyte species, namely Trichophyton verrucosum (T. verrucosum), Trichophyton mentagrophytes (T. mentagrophytes), and Microsporum canis (M. canis) were immunologically evaluated. The prepared vaccine evaluation was focused on the aspects of immunogenicity and protective efficacy using guinea pigs. Both in its living or inactivated forms, the vaccine-induced significant humoral and cell-mediated immune responses and achieve proper protection of guinea pigs against challenging infections with homologous and heterologous dermatophyte strains. On the other hand, investigations on dermatophyte exo-keratinases showed that it was better produced and more expressed in a mineral-based medium containing pure keratin (3 g/L) than in the same medium with human hair supplementation (2.6 g/L). The maximum dermatophyte productivity of exo-keratinases was found to be between 18 and 21 days post-incubation. Using sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), two fractions with molecular weights of 40 kDa (fraction I) and 28 kDa (fraction II) have been identified in the culture filtrate of the three involved dermatophyte species. Both fractions demonstrated keratinolytic activity. The specific activity of the isolated keratinases (number of Keratinase units (KU)/mg protein) was stronger in fraction I, where it reached 18.75, 15.38, and 14 KU/mg protein as compared to 12.9, 8.74, and 12 KU/mg protein in fraction II of T. verrucosum, T. mentagrophytes, and M. canis, respectively. The dermatophyte exo-keratinases proved to be immunogenic as they stimulated high keratinase-specific antibody titers and induced strong delayed skin hypersensitivity reactions in vaccinated animals. Anti-keratinase-specific IgG was detected in sera of guinea pigs immunized with the inactivated or living polyvalent dermatophyte vaccines by a homemade enzyme-linked immunosorbent assay (ELISA) using dermatophyte exo-keratinases as coating antigen. The intradermal injection of dermatophyte exo-keratinases induced specific delayed skin reactions in guinea pigs immunized with the inactivated or the living polyvalent dermatophyte vaccines. The intradermal injection of dermatophyte exo-keratinases in the control non-sensitized guinea pigs was associated with itching, swelling, and bloody scar formation, however, no skin indurations were formed. The development of those post-exo-keratinases injection reactions in the control non-sensitized apparently healthy guinea pigs group, suggests an exo-keratinases possible role in the pathogenesis of dermatophytosis.

Altered skin fungal and bacterial community compositions in tinea capitis.

BACKGROUND: Tinea capitis is an infection of the scalp and hair shaft caused by dermatophytes that predominantly occurs in children. Skin fungal infections have been found to be associated with alterations in the overall bacterial and fungal communities. However, the scalp microbiome in tinea capitis have not been fully investigated. OBJECTIVES: To investigate and compare the scalp bacterial and fungal microbiomes between children with tinea capitis and healthy children and between children and adults. METHODS: Skin samples were collected from the scalp. Bacterial and fungal community compositions were analysed by amplification sequencing of the V3-V4 of 16S rDNA and ITS1-5F, respectively. RESULTS: The predominant fungi detected using amplicon sequencing were consistent with the culture- or real-time PCR-positive pathogens in most samples. Children with tinea capitis had lower fungal and higher bacterial Shannon diversity than healthy children. A higher relative abundance of pathogenic fungi and significant alterations in the bacterial community in the lesional sites of tinea capitis than healthy scalps. Compared with adults, healthy children were characterised by higher Shannon diversities with significantly lower relative abundances of Malassezia and Cutibacterium and higher relative abundances of Candida and Streptococcus. CONCLUSIONS: We demonstrated that tinea capitis was characterised by significant alterations in both fungal and bacterial communities and amplicon sequencing could be a complementary method for pathogen identification.

Histoplasma capsulatum var. duboisii: A KwaZulu-Natal, South Africa public sector perspective.

BACKGROUND: Histoplasma capsulatum var. duboisii (H. duboisii) causes potentially fatal disease in the immunocompromised patient, and the literature on these cases is limited. The study was undertaken to describe the cases of H. duboisii seen in a resource-limited setting. METHODS: A 5-year retrospective, laboratory-based histopathologic review of all H. duboisii cases. RESULTS: A total of 24 patients were diagnosed with cutaneous H. duboisii infection. The male-to-female ratio was 1.4. All the patients were human immunodeficiency virus (HIV) positive, and 70.83% (17 of 24 patients) were on antiretroviral therapy. The clinically identified lesions were as follows: plaques, nodular plaques, papules, papulo-pustules, and umbilicated papules. Histopathological appraisal revealed organisms typical of H. duboisii. The commonest epidermal alterations were interface change, parakeratosis, spongiosis, ulceration, acanthosis, hyperkeratosis, transepidermal elimination, and exocytosis in decreasing order. The dermal changes included histiocytic pattern (n = 14), neutrophil-rich (n = 13), non-necrotizing granulomatous inflammation (n = 9), and karyorrhexis (n = 6). Histoplasma was confirmed in 53% (8 of 15 samples) of the tissue samples submitted for routine fungal culture. CONCLUSION: This study showed the demographics, clinical and histopathology features of H. duboisii infection in a resource-limited setting. Further research on histopathological features of this rare infection is essential to expand on the knowledge base and support findings in this study.

Gout-like hands.

A 65-year-old man presented to our hospital with a 1-year history of multiple nodules on his arms and hands without itching or pain.

Invasive Microsporum canis infection as a presenting complaint of late-diagnosed HIV infection.

A 43-year-old male barber presented with 1 year history of a painful, itchy plaque on the dorsal hand. Microsporum canis was recovered from pus of the lesion. Serologic testing for human immunodeficiency virus (HIV) antibody was positive, with a CD4+ count of 81 cells per cubic millimeter. Invasive cutaneous Microsporum canis infection is uncommon and can be suggestive of HIV infection or other conditions of immunocompromise.