Current Performance of MALDI–TOF Mass Spectrometry Databases for the Identification of Dermatophyte Species
The identification of filamentous fungi by matrix-assisted laser desorption/ionization–time of flight mass spectrometry (MALDI–TOF MS) represents a challenge due to their complex taxonomy and the lack of comprehensive databases. The aim of this study was to evaluate the current status of available M...
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Journal of Fungi |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2309-608X/11/5/356 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850126880777175040 |
|---|---|
| author | David Rodriguez-Temporal Daniel Adrados Ana Alastruey-Izquierdo Miriam Alkorta Ana Candela Andrés Canut Carmen Castro Carlos Gustavo Cilla Juan de Dios Caballero María Ercibengoa Marina Fernández Isabel Fradejas Oscar Fraile María José Goyanes Ainhoa Gutiérrez José Israel López Concha López Ana Isabel López-Calleja Ramiro López-Medrano Patricia Muñoz Adriana María Ortega Marina Oviaño Javier Peman María Rodríguez-Mayo Alba Ruiz Alexander Tristancho Belén Rodríguez-Sánchez |
| author_facet | David Rodriguez-Temporal Daniel Adrados Ana Alastruey-Izquierdo Miriam Alkorta Ana Candela Andrés Canut Carmen Castro Carlos Gustavo Cilla Juan de Dios Caballero María Ercibengoa Marina Fernández Isabel Fradejas Oscar Fraile María José Goyanes Ainhoa Gutiérrez José Israel López Concha López Ana Isabel López-Calleja Ramiro López-Medrano Patricia Muñoz Adriana María Ortega Marina Oviaño Javier Peman María Rodríguez-Mayo Alba Ruiz Alexander Tristancho Belén Rodríguez-Sánchez |
| author_sort | David Rodriguez-Temporal |
| collection | DOAJ |
| description | The identification of filamentous fungi by matrix-assisted laser desorption/ionization–time of flight mass spectrometry (MALDI–TOF MS) represents a challenge due to their complex taxonomy and the lack of comprehensive databases. The aim of this study was to evaluate the current status of available MALDI–TOF MS databases for the identification of dermatophytes, including commercial, in-house, and web-based databases. We collected 289 dermatophyte strains from different centers and analyzed them using four databases and a combination of them. The combination of commercial and in-house databases was shown to improve the identification rate and accuracy at the species level. For <i>Trichophyton rubrum</i>, the concordance among all databases was above 90.0%. For the <i>T. mentagrophytes</i> group, correct identification at the species level ranged from 30.0 to 78.9%, depending on the database, and showed very low agreement among them. The addition of the novel species <i>T. japonicum</i> to our in-house database resulted in the successful identification of this species. On the other hand, <i>T. interdigitale</i> and <i>T. tonsurans</i> were the species most frequently misidentified by MALDI–TOF MS. Through deep spectra analysis of both species, up to 29 protein peaks were found to be suitable for their differentiation, demonstrating the potential of peak analysis in differentiating closely related species. In conclusion, improvements of the databases with new strains resulted in increased identification accuracy at the species level. This, combined with peak analysis, could improve the overall identification of dermatophytes by MALDI–TOF MS in clinical laboratories. |
| format | Article |
| id | doaj-art-bb0f4fcde1714ba0810db83d017594bc |
| institution | OA Journals |
| issn | 2309-608X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Fungi |
| spelling | doaj-art-bb0f4fcde1714ba0810db83d017594bc2025-08-20T02:33:50ZengMDPI AGJournal of Fungi2309-608X2025-05-0111535610.3390/jof11050356Current Performance of MALDI–TOF Mass Spectrometry Databases for the Identification of Dermatophyte SpeciesDavid Rodriguez-Temporal0Daniel Adrados1Ana Alastruey-Izquierdo2Miriam Alkorta3Ana Candela4Andrés Canut5Carmen Castro6Carlos Gustavo Cilla7Juan de Dios Caballero8María Ercibengoa9Marina Fernández10Isabel Fradejas11Oscar Fraile12María José Goyanes13Ainhoa Gutiérrez14José Israel López15Concha López16Ana Isabel López-Calleja17Ramiro López-Medrano18Patricia Muñoz19Adriana María Ortega20Marina Oviaño21Javier Peman22María Rodríguez-Mayo23Alba Ruiz24Alexander Tristancho25Belén Rodríguez-Sánchez26Clinical Microbiology and Infectious Diseases Department, Instituto de Investigación Sanitaria Gregorio Marañón, Hospital General Universitario Gregorio Marañón, 28007 Madrid, SpainMicrobiology Department, Complejo Hospitalario Insular-Las Palmas, 35016 Las Palmas de Gran Canaria, SpainMycology Reference Laboratory, National Center for Microbiology, Instituto de Salud Carlos III, 28222 Madrid, SpainClinical Microbiology Department, Hospital Universitario de Donostia, 20014 Donostia, SpainClinical Microbiology Department, Hospital Universitario Lucus Augusti, 27003 Lugo, SpainClinical Microbiology Department, Hospital Universitario de Álava, 01009 Álava, SpainMicrobiology Department, Hospital Universitario de Valme, 41014 Sevilla, SpainClinical Microbiology Department, Hospital Universitario de Donostia, 20014 Donostia, SpainMicrobiology Department, Hospital Universitario Ramón y Cajal, 28034 Madrid, SpainClinical Microbiology Department, Hospital Universitario de Donostia, 20014 Donostia, SpainClinical Microbiology Department, Hospital Universitario de Álava, 01009 Álava, SpainMicrobiology Department, Hospital Universitario Fundación Alcorcón, 28922 Alcorcón, SpainMicrobiology Department, Complejo Asistencial de Ávila, 05071 Ávila, SpainMicrobiology Department, Hospital Universitario Fundación Alcorcón, 28922 Alcorcón, SpainMicrobiology Department, Hospital Universitario La Princesa, 28006 Madrid, SpainClinical Microbiology Department, Hospital Universitario de Álava, 01009 Álava, SpainMicrobiology Department, Hospital Universitario Miguel Servet, 50009 Zaragoza, SpainMicrobiology Department, Hospital Universitario Miguel Servet, 50009 Zaragoza, SpainClinical Microbiology Department, Complejo Asistencial Universitario de León, 24008 León, SpainClinical Microbiology and Infectious Diseases Department, Instituto de Investigación Sanitaria Gregorio Marañón, Hospital General Universitario Gregorio Marañón, 28007 Madrid, SpainMicrobiology Department, Hospital Universitario Fundación Alcorcón, 28922 Alcorcón, SpainClinical Microbiology Department, Complejo Hospitalario Universitario A Coruña, 15006 A Coruña, SpainUnidad de Micología Médica, Hospital Universitario La Fe, 46026 Valencia, SpainClinical Microbiology Department, Complejo Hospitalario Universitario A Coruña, 15006 A Coruña, SpainUnidad de Micología Médica, Hospital Universitario La Fe, 46026 Valencia, SpainMicrobiology Department, Hospital Universitario Miguel Servet, 50009 Zaragoza, SpainClinical Microbiology and Infectious Diseases Department, Instituto de Investigación Sanitaria Gregorio Marañón, Hospital General Universitario Gregorio Marañón, 28007 Madrid, SpainThe identification of filamentous fungi by matrix-assisted laser desorption/ionization–time of flight mass spectrometry (MALDI–TOF MS) represents a challenge due to their complex taxonomy and the lack of comprehensive databases. The aim of this study was to evaluate the current status of available MALDI–TOF MS databases for the identification of dermatophytes, including commercial, in-house, and web-based databases. We collected 289 dermatophyte strains from different centers and analyzed them using four databases and a combination of them. The combination of commercial and in-house databases was shown to improve the identification rate and accuracy at the species level. For <i>Trichophyton rubrum</i>, the concordance among all databases was above 90.0%. For the <i>T. mentagrophytes</i> group, correct identification at the species level ranged from 30.0 to 78.9%, depending on the database, and showed very low agreement among them. The addition of the novel species <i>T. japonicum</i> to our in-house database resulted in the successful identification of this species. On the other hand, <i>T. interdigitale</i> and <i>T. tonsurans</i> were the species most frequently misidentified by MALDI–TOF MS. Through deep spectra analysis of both species, up to 29 protein peaks were found to be suitable for their differentiation, demonstrating the potential of peak analysis in differentiating closely related species. In conclusion, improvements of the databases with new strains resulted in increased identification accuracy at the species level. This, combined with peak analysis, could improve the overall identification of dermatophytes by MALDI–TOF MS in clinical laboratories.https://www.mdpi.com/2309-608X/11/5/356dermatophytesfilamentous fungiMALDI–TOF MSidentification |
| spellingShingle | David Rodriguez-Temporal Daniel Adrados Ana Alastruey-Izquierdo Miriam Alkorta Ana Candela Andrés Canut Carmen Castro Carlos Gustavo Cilla Juan de Dios Caballero María Ercibengoa Marina Fernández Isabel Fradejas Oscar Fraile María José Goyanes Ainhoa Gutiérrez José Israel López Concha López Ana Isabel López-Calleja Ramiro López-Medrano Patricia Muñoz Adriana María Ortega Marina Oviaño Javier Peman María Rodríguez-Mayo Alba Ruiz Alexander Tristancho Belén Rodríguez-Sánchez Current Performance of MALDI–TOF Mass Spectrometry Databases for the Identification of Dermatophyte Species Journal of Fungi dermatophytes filamentous fungi MALDI–TOF MS identification |
| title | Current Performance of MALDI–TOF Mass Spectrometry Databases for the Identification of Dermatophyte Species |
| title_full | Current Performance of MALDI–TOF Mass Spectrometry Databases for the Identification of Dermatophyte Species |
| title_fullStr | Current Performance of MALDI–TOF Mass Spectrometry Databases for the Identification of Dermatophyte Species |
| title_full_unstemmed | Current Performance of MALDI–TOF Mass Spectrometry Databases for the Identification of Dermatophyte Species |
| title_short | Current Performance of MALDI–TOF Mass Spectrometry Databases for the Identification of Dermatophyte Species |
| title_sort | current performance of maldi tof mass spectrometry databases for the identification of dermatophyte species |
| topic | dermatophytes filamentous fungi MALDI–TOF MS identification |
| url | https://www.mdpi.com/2309-608X/11/5/356 |
| work_keys_str_mv | AT davidrodrigueztemporal currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT danieladrados currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT anaalastrueyizquierdo currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT miriamalkorta currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT anacandela currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT andrescanut currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT carmencastro currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT carlosgustavocilla currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT juandedioscaballero currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT mariaercibengoa currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT marinafernandez currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT isabelfradejas currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT oscarfraile currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT mariajosegoyanes currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT ainhoagutierrez currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT joseisraellopez currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT conchalopez currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT anaisabellopezcalleja currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT ramirolopezmedrano currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT patriciamunoz currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT adrianamariaortega currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT marinaoviano currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT javierpeman currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT mariarodriguezmayo currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT albaruiz currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT alexandertristancho currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies AT belenrodriguezsanchez currentperformanceofmalditofmassspectrometrydatabasesfortheidentificationofdermatophytespecies |