Investigation of MALDI-TOF Mass Spectrometry for Assessing the Molecular Diversity of <i>Campylobacter jejuni</i> and Comparison with MLST and cgMLST: A Luxembourg One-Health Study
There is a need for active molecular surveillance of human and veterinary <i>Campylobacter</i> infections. However, sequencing of all isolates is associated with high costs and a considerable workload. Thus, there is a need for a straightforward complementary tool to prioritize isolates...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-10-01
|
| Series: | Diagnostics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4418/11/11/1949 |
| _version_ | 1797510665185787904 |
|---|---|
| author | Maureen Feucherolles Morgane Nennig Sören L. Becker Delphine Martiny Serge Losch Christian Penny Henry-Michel Cauchie Catherine Ragimbeau |
| author_facet | Maureen Feucherolles Morgane Nennig Sören L. Becker Delphine Martiny Serge Losch Christian Penny Henry-Michel Cauchie Catherine Ragimbeau |
| author_sort | Maureen Feucherolles |
| collection | DOAJ |
| description | There is a need for active molecular surveillance of human and veterinary <i>Campylobacter</i> infections. However, sequencing of all isolates is associated with high costs and a considerable workload. Thus, there is a need for a straightforward complementary tool to prioritize isolates to sequence. In this study, we proposed to investigate the ability of MALDI-TOF MS to pre-screen <i>C. jejuni</i> genetic diversity in comparison to MLST and cgMLST. A panel of 126 isolates, with 10 clonal complexes (CC), 21 sequence types (ST) and 42 different complex types (CT) determined by the SeqSphere+ cgMLST, were analysed by a MALDI Biotyper, resulting into one average spectra per isolate. Concordance and discriminating ability were evaluated based on protein profiles and different cut-offs. A random forest algorithm was trained to predict STs. With a 94% similarity cut-off, an AWC of 1.000, 0.933 and 0.851 was obtained for MLST<sub>CC</sub>, MLST<sub>ST</sub> and cgMLST profile, respectively. The random forest classifier showed a sensitivity and specificity up to 97.5% to predict four different STs. Protein profiles allowed to predict <i>C. jejuni</i> CCs, STs and CTs at 100%, 93% and 85%, respectively. Machine learning and MALDI-TOF MS could be a fast and inexpensive complementary tool to give an early signal of recurrent <i>C. jejuni</i> on a routine basis. |
| first_indexed | 2024-03-10T05:34:34Z |
| format | Article |
| id | doaj.art-8457e621cc0348fcbdb78f2e91cf2dd2 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-10T05:34:34Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-8457e621cc0348fcbdb78f2e91cf2dd22023-11-22T23:00:09ZengMDPI AGDiagnostics2075-44182021-10-011111194910.3390/diagnostics11111949Investigation of MALDI-TOF Mass Spectrometry for Assessing the Molecular Diversity of <i>Campylobacter jejuni</i> and Comparison with MLST and cgMLST: A Luxembourg One-Health StudyMaureen Feucherolles0Morgane Nennig1Sören L. Becker2Delphine Martiny3Serge Losch4Christian Penny5Henry-Michel Cauchie6Catherine Ragimbeau7Environmental Research and Innovation (ERIN) Department, Luxembourg Institute of Science and Technology, L-4422 Belvaux, LuxembourgEpidemiology and Microbial Genomics, Laboratoire National de Santé, L-3555 Dudelange, LuxembourgInstitute of Medical Microbiology and Hygiene, Saarland University, 66421 Homburg, GermanyNational Reference Centre for Campylobacter, Centre Hospitalier Universitaire Saint-Pierre, Université Libre de Bruxelles (ULB), 1000 Brussels, BelgiumLaboratoire de Médecine Vétérinaire de l’Etat, L-3555 Dudelange, LuxembourgEnvironmental Research and Innovation (ERIN) Department, Luxembourg Institute of Science and Technology, L-4422 Belvaux, LuxembourgEnvironmental Research and Innovation (ERIN) Department, Luxembourg Institute of Science and Technology, L-4422 Belvaux, LuxembourgEpidemiology and Microbial Genomics, Laboratoire National de Santé, L-3555 Dudelange, LuxembourgThere is a need for active molecular surveillance of human and veterinary <i>Campylobacter</i> infections. However, sequencing of all isolates is associated with high costs and a considerable workload. Thus, there is a need for a straightforward complementary tool to prioritize isolates to sequence. In this study, we proposed to investigate the ability of MALDI-TOF MS to pre-screen <i>C. jejuni</i> genetic diversity in comparison to MLST and cgMLST. A panel of 126 isolates, with 10 clonal complexes (CC), 21 sequence types (ST) and 42 different complex types (CT) determined by the SeqSphere+ cgMLST, were analysed by a MALDI Biotyper, resulting into one average spectra per isolate. Concordance and discriminating ability were evaluated based on protein profiles and different cut-offs. A random forest algorithm was trained to predict STs. With a 94% similarity cut-off, an AWC of 1.000, 0.933 and 0.851 was obtained for MLST<sub>CC</sub>, MLST<sub>ST</sub> and cgMLST profile, respectively. The random forest classifier showed a sensitivity and specificity up to 97.5% to predict four different STs. Protein profiles allowed to predict <i>C. jejuni</i> CCs, STs and CTs at 100%, 93% and 85%, respectively. Machine learning and MALDI-TOF MS could be a fast and inexpensive complementary tool to give an early signal of recurrent <i>C. jejuni</i> on a routine basis.https://www.mdpi.com/2075-4418/11/11/1949<i>Campylobacter</i>MALDI-TOF MSsubtypingMLSTcgMLSTmachine learning |
| spellingShingle | Maureen Feucherolles Morgane Nennig Sören L. Becker Delphine Martiny Serge Losch Christian Penny Henry-Michel Cauchie Catherine Ragimbeau Investigation of MALDI-TOF Mass Spectrometry for Assessing the Molecular Diversity of <i>Campylobacter jejuni</i> and Comparison with MLST and cgMLST: A Luxembourg One-Health Study Diagnostics <i>Campylobacter</i> MALDI-TOF MS subtyping MLST cgMLST machine learning |
| title | Investigation of MALDI-TOF Mass Spectrometry for Assessing the Molecular Diversity of <i>Campylobacter jejuni</i> and Comparison with MLST and cgMLST: A Luxembourg One-Health Study |
| title_full | Investigation of MALDI-TOF Mass Spectrometry for Assessing the Molecular Diversity of <i>Campylobacter jejuni</i> and Comparison with MLST and cgMLST: A Luxembourg One-Health Study |
| title_fullStr | Investigation of MALDI-TOF Mass Spectrometry for Assessing the Molecular Diversity of <i>Campylobacter jejuni</i> and Comparison with MLST and cgMLST: A Luxembourg One-Health Study |
| title_full_unstemmed | Investigation of MALDI-TOF Mass Spectrometry for Assessing the Molecular Diversity of <i>Campylobacter jejuni</i> and Comparison with MLST and cgMLST: A Luxembourg One-Health Study |
| title_short | Investigation of MALDI-TOF Mass Spectrometry for Assessing the Molecular Diversity of <i>Campylobacter jejuni</i> and Comparison with MLST and cgMLST: A Luxembourg One-Health Study |
| title_sort | investigation of maldi tof mass spectrometry for assessing the molecular diversity of i campylobacter jejuni i and comparison with mlst and cgmlst a luxembourg one health study |
| topic | <i>Campylobacter</i> MALDI-TOF MS subtyping MLST cgMLST machine learning |
| url | https://www.mdpi.com/2075-4418/11/11/1949 |
| work_keys_str_mv | AT maureenfeucherolles investigationofmalditofmassspectrometryforassessingthemoleculardiversityoficampylobacterjejuniiandcomparisonwithmlstandcgmlstaluxembourgonehealthstudy AT morganenennig investigationofmalditofmassspectrometryforassessingthemoleculardiversityoficampylobacterjejuniiandcomparisonwithmlstandcgmlstaluxembourgonehealthstudy AT sorenlbecker investigationofmalditofmassspectrometryforassessingthemoleculardiversityoficampylobacterjejuniiandcomparisonwithmlstandcgmlstaluxembourgonehealthstudy AT delphinemartiny investigationofmalditofmassspectrometryforassessingthemoleculardiversityoficampylobacterjejuniiandcomparisonwithmlstandcgmlstaluxembourgonehealthstudy AT sergelosch investigationofmalditofmassspectrometryforassessingthemoleculardiversityoficampylobacterjejuniiandcomparisonwithmlstandcgmlstaluxembourgonehealthstudy AT christianpenny investigationofmalditofmassspectrometryforassessingthemoleculardiversityoficampylobacterjejuniiandcomparisonwithmlstandcgmlstaluxembourgonehealthstudy AT henrymichelcauchie investigationofmalditofmassspectrometryforassessingthemoleculardiversityoficampylobacterjejuniiandcomparisonwithmlstandcgmlstaluxembourgonehealthstudy AT catherineragimbeau investigationofmalditofmassspectrometryforassessingthemoleculardiversityoficampylobacterjejuniiandcomparisonwithmlstandcgmlstaluxembourgonehealthstudy |