Evidence map›Paper›PMID 40178696›Full record

ArticleMycopathologia2025

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

Engin Kaplan, Oğuzhan Bingöl, Hazal Kandemir, Ayşe Sultan Karakoyun, Murat Durdu, Macit Ilkit

Abstract readEvaluation Study
In one paragraph

Article in Mycopathologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Integrating Machine Learning and Molecular Methods forPathogens (Basel, Switzerland) · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Engin KaplanDepartment of Pharmaceutical Microbiology, Faculty of Pharmacy, Istanbul University-Cerrahpaşa, Istanbul, Türkiye. engin.kaplan@iuc.edu.tr.ORCID http://orcid.org/0000-0001-5705-717X
Oğuzhan BingölDivision of Mycology, Department of Microbiology, Faculty of Medicine, Çukurova University, Adana, Türkiye.ORCID http://orcid.org/0009-0001-0530-8050
Hazal KandemirWesterdijk Fungal Biodiversity Institute, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0003-0385-5840
Ayşe Sultan KarakoyunDivision of Mycology, Department of Microbiology, Faculty of Medicine, Çukurova University, Adana, Türkiye.ORCID http://orcid.org/0000-0002-2717-6343
Murat DurduDepartment of Dermatology, Faculty of Medicine, Adana Dr. Turgut Noyan Application and Research Center, Başkent University, Adana, Türkiye.ORCID http://orcid.org/0000-0003-1247-3932
Macit IlkitDivision of Mycology, Department of Microbiology, Faculty of Medicine, Çukurova University, Adana, Türkiye. macitilkit@gmail.com.ORCID http://orcid.org/0000-0002-1174-4182

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trichophyton indotineae, formerly known as T. mentagrophytes internal transcribed spacer (ITS) genotype VIII, has been recognized over the last decade due to its high virulence and resistance to treatment. Its accurate identification in routine mycology laboratories remains challenging, as it shares phenotypic traits and substantial rDNA ITS similarity with T. mentagrophytes and T. interdigitale. This study aimed to identify more divergent and stable sequences via whole-genome comparisons between T. indotineae and T. interdigitale to facilitate highly specific targeting of T. indotineae using a validated quantitative polymerase chain reaction (qPCR)-based method. Our whole-genome comparison revealed at least 22 unique sequences of T. indotineae compared to T. interdigitale and revealed the divergence of the former from the reference genomes of other Trichophyton species. Among these, a 499 bp segment was identified as the most genetically distinct sequence within the T. indotineae genome. Seventy-three dermatophyte strains [T. indotineae (n = 66), non-T. indotineae (n = 7)], were tested using our qPCR assay targeting the above-mentioned stable 499-bp region. Regarding analytical performance, our T. indotineae-specific qPCR assay exhibited high sensitivity (93.3%) and specificity (100%), with a detection limit of ~ 15 genomic copies. Our approach has the potential to establish highly sensitive and specific qPCR assays without relying on specialized assay designs for single nucleotide polymorphisms in the ITS or other loci. This approach offers a practical solution for updating molecular diagnostics, particularly for novel taxa such as T. indotineae, for which limited gene data are available in public databases.

Indexed as

Molecular Diagnostic TechniquesReal-Time Polymerase Chain ReactionTineaTrichophytonDNA, FungalDNA, Ribosomal SpacerHumansSensitivity and SpecificityDNA, FungalDNA, Ribosomal SpacerDermatophyteDiagnosticsDrug resistanceIdentificationReal-time PCR

Identifiers

PMID40178696
PMCPMC11968514

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.