dermatophyte identification

Identification of Challenging Dermatophyte Species Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

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This study shows that a specialized technique called MALDI-TOF mass spectrometry can quickly and accurately identify skin fungal infections caused by dermatophytes. By creating a library of local fungal strains from Taiwan and combining it with commercial databases, researchers achieved over 90% accuracy in identifying different dermatophyte species. This practical method could help doctors diagnose fungal infections faster and choose better treatments.

Identification of Challenging Dermatophyte Species Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

mycolabadmin

This study shows how MALDI-TOF mass spectrometry, a rapid laboratory technique, can accurately identify different types of dermatophyte fungi that cause ringworm and other skin infections. By creating a customized reference library combining commercial and locally-collected fungal samples, researchers improved identification accuracy from 16% to 91%. This advancement helps doctors identify the specific fungus causing a skin infection more quickly and accurately, enabling better treatment decisions.

Identification of Challenging Dermatophyte Species Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

mycolabadmin

This study shows that MALDI-TOF mass spectrometry is an effective method for quickly identifying skin fungal infections caused by dermatophytes. By combining commercial reference databases with a custom library created from local isolates, researchers achieved 90.7% accurate identification compared to only 16.1% using the commercial database alone. This improved method could help doctors diagnose and treat fungal skin infections more quickly and accurately in clinical laboratories.

First Step on the Way to Identify Dermatophytes Using Odour Fingerprints

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Researchers have developed a new method to quickly identify fungal skin infections caused by dermatophytes by detecting the unique smells (volatile compounds) they produce. Instead of waiting days or weeks for culture-based tests, this approach uses advanced chemical analysis to create a fingerprint of the fungus based on its odor. The study analyzed 47 different dermatophyte strains and found that each species and even individual strains have distinctive chemical signatures, which could one day allow doctors to diagnose infections rapidly using portable devices similar to electronic noses.

Identification of Challenging Dermatophyte Species Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

mycolabadmin

This study shows that a specialized technique called MALDI-TOF mass spectrometry can accurately identify fungal skin infections by analyzing protein patterns. Researchers created a customized library of local fungal species that, when combined with commercial databases, improved identification accuracy from 16% to 91%. This advancement helps doctors quickly identify the exact type of fungal infection patients have, enabling faster and more appropriate treatment decisions.

Treatment and diagnostic challenges associated with the novel and rapidly emerging antifungal-resistant dermatophyte, Trichophyton indotineae

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A new type of fungal infection called Trichophyton indotineae has emerged and spread globally, particularly from India. It causes widespread skin infections that are difficult to treat because the fungus resists common antifungal medications. Doctors and laboratories need to be aware of this infection to properly identify it and choose effective treatments, especially for patients with travel history to affected regions.

First case report of tinea corporis caused by Trichophyton indotineae in Latin America

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A 21-year-old woman in Argentina developed a persistent skin infection caused by a fungus called Trichophyton indotineae, likely acquired during travel to Mexico. The infection did not respond to common antifungal medications like terbinafine, but responded well to treatment with a special formulation of itraconazole that was completely effective within four weeks. This case represents the first documented occurrence of this emerging fungal pathogen in Latin America and highlights the importance of molecular identification when standard treatments fail.

qPCR-Based Molecular Detection of Trichophyton indotineae by Targeting Divergent Sequences

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Trichophyton indotineae is a dangerous fungal infection that causes ringworm and is increasingly resistant to common antifungal treatments. Scientists developed a rapid blood test-like diagnostic tool called qPCR that can accurately identify this specific fungus in less than 2 hours for just a few dollars. The test was created by comparing the genetic codes of different fungal species to find unique fingerprints that distinguish T. indotineae from similar-looking fungi.

PCR enables rapid detection of dermatophytes in practice

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Researchers in Finland studied how a fast DNA test (PCR) can detect fungal skin infections better than traditional slow culture methods. The new test, called DermaGenius, gives results in just 16 hours instead of 19 days. By 2022, most fungal infection samples were tested using this faster method, which helps doctors treat patients quickly without unnecessary medications.

Research Keyword: dermatophyte identification