Background and objective Dermatophytosis refers to superficial skin fungal infection in humans. The laboratory diagnosis of the pathogens causing dermatophytosis is challenging. In recent years, matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has emerged as an effective tool for diagnosing and identifying microorganisms. This study aimed to compare MALDI-TOF MS with conventional methods of identification to assess the existing knowledge on the diagnostic capabilities of MALDI-TOF MS for dermatophyte infections. The findings of this study have significant implications for clinical practice, public health, and future research endeavors in dermatophytosis diagnostics. Methods This prospective study was conducted in the Post Graduate Department of Microbiology at a tertiary-level teaching Medical University over 12 months, from January 1, 2020, to December 31, 2020. A total of 138 clinical cases among the patients attending the skin OPD with clinical features suggesting fungal skin infections were included. Conventional methods such as microscopy, slide culture, biochemical tests, and culture on Sabouraud dextrose agar (SDA) were used as the reference standard for species identification. ATCC (American Type Culture Collection) strains of dermatophytes were used for quality control. The MALDI-TOF Vitek MS (BioMerieux, Craponne, France) system was employed for comparison, and the agreement between the two methods was determined. Results Of the 138 samples, 89 were from males and 49 from females. The majority were taken from the skin (103, 75%) samples followed by nails (30, 21%) and hair (5, 4%). Tinea corporis was the most common clinical type, seen in 81 cases (58.70%), followed by onychomycosis seen in 30 (21.74%) cases, and tinea cruris seen in 16 (11.59%) cases. The most prevalent isolate discovered in tinea corporis was , followed by . Traditional methods and MALDI-TOF MS (Vitek MS) had 100% agreement for However, there was disagreement , which had 0.00% agreement. Conclusions Our research showed that no single diagnostic approach would be optimal for every situation that was examined. However, traditional procedures remain the most dependable and efficient methods for mycological diagnostics. However, MALDI-TOF identification results are available much earlier than those of traditional methods.
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http://dx.doi.org/10.7759/cureus.78344 | DOI Listing |
Echocardiography
March 2025
Department of Physical Therapy, Faculty of Health Science, Kyorin University, Mitaka City, Tokyo, Japan.
Purpose: Central hypovolemia is considered to lead to a compensatory increase in cardiac contractility. From a physiological perspective, left ventricular (LV) twisting motion, which plays an important role in maintaining cardiac output, should be enhanced during central hypovolemia, but previous studies have shown inconsistent findings. Using 3D echocardiography, we tested the hypothesis that the LV twisting and untwisting motion would be enhanced during severe central hypovolemia.
View Article and Find Full Text PDFJ Am Chem Soc
March 2025
Department of Chemistry, and FQRNT Center for Green Chemistry and Catalysis, McGill University, 801 Sherbrooke Street West, Montreal, Quebec H3A 0B8, Canada.
Carbenes are critical intermediates in organic chemistry, recognized for their exceptional reactivity and versatility. However, conventional methods for carbene generation are often associated with safety risks and hazardous procedures. This study presents a Ga-ZnO nanosheets photocatalyst with a (100) preferred orientation, featuring abundant refined frustrated Lewis pair (FLP) sites, excellent light absorption, and efficient charge transport properties.
View Article and Find Full Text PDFJ Immunol
January 2025
Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
Natural killer (NK) cells are a promising approach for cellular cancer immunotherapy and are being investigated to treat patients with multiple myeloma (MM). We found that MM patient blood NK cell frequencies were normal with increased activating receptors and cytotoxic granules, without evidence of functional exhaustion. Despite this activated state, MM target cells were resistant to conventional NK cells by unclear mechanisms.
View Article and Find Full Text PDFBr J Radiol
March 2025
Department of Medical Ultrasound, Shandong Medicine and Health Key Laboratory of Abdominal Medical Imaging, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.
Objectives: To develop a deep learning (DL) model based on ultrasound (US) images of lymph nodes for predicting cervical lymph node metastasis (CLNM) in postoperative patients with differentiated thyroid carcinoma (DTC).
Methods: Retrospective collection of 352 lymph nodes from 330 patients with cytopathology findings between June 2021 and December 2023 at our institution. The database was randomly divided into the training and test cohort at an 8:2 ratio.
IEEE Trans Pattern Anal Mach Intell
March 2025
Anomaly detection is a common application of machine learning. Out-of-distribution (OOD) detection in particular is a semi-supervised anomaly detection technique where the detection method is trained only on the inlier (in-distribution) samples-unlike the fully supervised variant, the distribution of the outlier samples are never explicitly modeled in OOD detection tasks. In this work, we design a novel GAN-based OOD detection network specifically designed to protect a cyber-physical signal systems from novel Trojan malware called non-control data (NCD) attack that evades conventional malware detection techniques.
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