TY - JOUR
T1 - Novel B-DNA dermatophyte assay for demonstration of canonical DNA in dermatophytes
T2 - Histopathologic characterization by artificial intelligence
AU - Gagna, Claude E.
AU - Yodice, Anthony N.
AU - D'Amico, Juliana
AU - Elkoulily, Lina
AU - Gill, Shaheryar M.
AU - DeOcampo, Francis G.
AU - Rabbani, Maryam
AU - Kaur, Jai
AU - Shah, Aangi
AU - Ahmad, Zainab
AU - Lambert, Muriel W.
AU - Clark Lambert, W.
N1 - Publisher Copyright:
© 2024 Elsevier Inc.
PY - 2024/5/1
Y1 - 2024/5/1
N2 - We describe a novel assay and artificial intelligence–driven histopathologic approach identifying dermatophytes in human skin tissue sections (ie, B-DNA dermatophyte assay) and demonstrate, for the first time, the presence of dermatophytes in tissue using immunohistochemistry to detect canonical right-handed double-stranded (ds) B-DNA. Immunohistochemistry was performed using anti-ds-B-DNA monoclonal antibodies with formalin-fixed paraffin-embedded tissues to determine the presence of dermatophytes. The B-DNA assay resulted in a more accurate identification of dermatophytes, nuclear morphology, dimensions, and gene expression of dermatophytes (ie, optical density values) than periodic acid–Schiff (PAS), Grocott methenamine silver (GMS), or hematoxylin and eosin (H&E) stains. The novel assay guided by artificial intelligence allowed for efficient identification of different types of dermatophytes (eg, hyphae, microconidia, macroconidia, and arthroconidia). Using the B-DNA dermatophyte assay as a clinical tool for diagnosing dermatophytes is an alternative to PAS, GMS, and H&E as a fast and inexpensive way to accurately detect dermatophytosis and reduce the number of false negatives. Our assay resulted in superior identification, sensitivity, life cycle stages, and morphology compared to H&E, PAS, and GMS stains. This method detects a specific structural marker (ie, ds-B-DNA), which can assist with diagnosis of dermatophytes. It represents a significant advantage over methods currently in use.
AB - We describe a novel assay and artificial intelligence–driven histopathologic approach identifying dermatophytes in human skin tissue sections (ie, B-DNA dermatophyte assay) and demonstrate, for the first time, the presence of dermatophytes in tissue using immunohistochemistry to detect canonical right-handed double-stranded (ds) B-DNA. Immunohistochemistry was performed using anti-ds-B-DNA monoclonal antibodies with formalin-fixed paraffin-embedded tissues to determine the presence of dermatophytes. The B-DNA assay resulted in a more accurate identification of dermatophytes, nuclear morphology, dimensions, and gene expression of dermatophytes (ie, optical density values) than periodic acid–Schiff (PAS), Grocott methenamine silver (GMS), or hematoxylin and eosin (H&E) stains. The novel assay guided by artificial intelligence allowed for efficient identification of different types of dermatophytes (eg, hyphae, microconidia, macroconidia, and arthroconidia). Using the B-DNA dermatophyte assay as a clinical tool for diagnosing dermatophytes is an alternative to PAS, GMS, and H&E as a fast and inexpensive way to accurately detect dermatophytosis and reduce the number of false negatives. Our assay resulted in superior identification, sensitivity, life cycle stages, and morphology compared to H&E, PAS, and GMS stains. This method detects a specific structural marker (ie, ds-B-DNA), which can assist with diagnosis of dermatophytes. It represents a significant advantage over methods currently in use.
UR - http://www.scopus.com/inward/record.url?scp=85186086283&partnerID=8YFLogxK
U2 - 10.1016/j.clindermatol.2023.12.018
DO - 10.1016/j.clindermatol.2023.12.018
M3 - Article
C2 - 38185195
AN - SCOPUS:85186086283
SN - 0738-081X
VL - 42
SP - 233
EP - 258
JO - Clinics in Dermatology
JF - Clinics in Dermatology
IS - 3
ER -