Fungal DNA‐barcoding on a chip: Magnetoresistive biosensors for yeast infection diagnosis

Abstract The worldwide burden of fungal infection has been increasing due to the expansion of the endemic borders, the host range of certain mycosis, and the emergence of novel opportunistic, drug and multi‐drug‐resistant fungal pathogens. Many deaths can be attributed to slow, inaccurate, or absent diagnostic testing and a lack of timely administration of effective antifungal treatment. Panfungal PCR followed by sequence identification has the practical advantage of rapidly and accurately detecting slow‐growing, unculturable and even rare, unexpected or novel pathogens. We have developed and tested a robust and flexible biosensing diagnostic strategy, consisting of panfungal rDNA amplification, DNA hybridization, and magnetic labeling on a portable microfluidic setup. We designed DNA‐capture probes specific for Candida albicans , Candida auris , Nakaseomyces glabratus , and Cryptococcus neoformans , and evaluated them for diagnostic sensitivity and specificity assessment, first in silico against a dataset of 58 pathogenic species (1239 DNA sequences), and then in vitro against the four species and 30 unsequenced clinical isolates of N. glabratus . On‐chip, our assay performed with 95% accuracy, 91% sensitivity, and 98% specificity under a limit of detection of 600 single‐stranded amplified ITS DNA sequences. Our results demonstrate the diagnostic value of DNA‐barcoding and magnetoresistive biosensing, emphasizing the revolutionizing potential of DNA‐sequence‐based technologies in clinical practice.

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Publication Details

Journal
Open Research (University of Surrey)
Published
2025-09-10
DOI
https://doi.org/10.1002/viw.20250015
Citations
1
Primary Topic
Antifungal resistance and susceptibility
Type
article
Field-Weighted Citation Impact
1.40

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article

Fungal DNA‐barcoding on a chip: Magnetoresistive biosensors for yeast infection diagnosis

Maria Corado, Miguel C. Teixeira, Cátia Sofia Gabriel Caneiras, Diogo M. Caetano et al.
1 citations
Open Research (University of Surrey)
Antifungal resistance and susceptibility
1.40
article

Fungal DNA‐barcoding on a chip: Magnetoresistive biosensors for yeast infection diagnosis

Maria Corado, Miguel C. Teixeira, Cátia Sofia Gabriel Caneiras, Diogo M. Caetano, Rúben Afonso, Cristina Bárbara, Maria Zolotareva, Francisco Cascalheira, V. C. Martins
article en
1 citations

Abstract

Abstract The worldwide burden of fungal infection has been increasing due to the expansion of the endemic borders, the host range of certain mycosis, and the emergence of novel opportunistic, drug and multi‐drug‐resistant fungal pathogens. Many deaths can be attributed to slow, inaccurate, or absent diagnostic testing and a lack of timely administration of effective antifungal treatment. Panfungal PCR followed by sequence identification has the practical advantage of rapidly and accurately detecting slow‐growing, unculturable and even rare, unexpected or novel pathogens. We have developed and tested a robust and flexible biosensing diagnostic strategy, consisting of panfungal rDNA amplification, DNA hybridization, and magnetic labeling on a portable microfluidic setup. We designed DNA‐capture probes specific for Candida albicans , Candida auris , Nakaseomyces glabratus , and Cryptococcus neoformans , and evaluated them for diagnostic sensitivity and specificity assessment, first in silico against a dataset of 58 pathogenic species (1239 DNA sequences), and then in vitro against the four species and 30 unsequenced clinical isolates of N. glabratus . On‐chip, our assay performed with 95% accuracy, 91% sensitivity, and 98% specificity under a limit of detection of 600 single‐stranded amplified ITS DNA sequences. Our results demonstrate the diagnostic value of DNA‐barcoding and magnetoresistive biosensing, emphasizing the revolutionizing potential of DNA‐sequence‐based technologies in clinical practice.

Open Research (University of Surrey)Vol. 6(6)
University of Lisbon (PT), Universidade Politécnica de Lisboa (PT), Vodafone (Portugal) (PT), Escola Superior de Saúde Egas Moniz (PT), Instituto de Engenharia de Sistemas e Computadores Microsistemas e Nanotecnologias (PT), Administração Regional de Saúde de Lisboa e Vale do Tejo (PT), Hospital de Santa Maria (PT), Institute for Biotechnology and Bioengineering (PT)
Electronic Components and Systems for European Leadership, Fundação para a Ciência e a Tecnologia, EIT Health
Openalex Percentile: Top 16%
Antifungal resistance and susceptibility
1.40
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