Whole-Genome Sequencing-Based Screening of MRSA in Patients and Healthcare Workers in Public Hospitals in Benin

Author:

Laurence Yehouenou Carine123ORCID,Bogaerts Bert4ORCID,Vanneste Kevin4,De Keersmaecker Sigrid C. J.4ORCID,Roosens Nancy H. C.4ORCID,Kpangon Arsène A.5ORCID,Affolabi Dissou236,Simon Anne7,Dossou Francis Moise8,Dalleur Olivia19

Affiliation:

1. Clinical Pharmacy Research Group (CLIP), Louvain Drug Research Institute (LDRI), Université Catholique de Louvain UCLouvain, Avenue Mounier 73, 1200 Brussels, Belgium

2. Laboratoire de Référence des Mycobactéries (LRM), Cotonou BP 817, Benin

3. Faculté des Sciences de la Santé (FSS), Université d’Abomey Calavi (UAC), Cotonou 01 BP 188, Benin

4. Transversal Activities in Applied Genomics, Sciensano, Juliette Wytsmanstraat 14, 1050 Brussels, Belgium

5. Ecole Nationale des Techniciens Supérieurs en Santé Publique et Surveillance Épidémiologique, Université de Parakou, Parakou, Benin

6. Centre National Hospitalier et Universitaire Hubert Koutoukou Maga (CNHU-HKM), Cotonou BP 386, Benin

7. Centres Hospitaliers Jolimont, Prévention et Contrôle des Infections, Groupe Jolimont Asbl, Rue Ferrer 159, 7100 Haine-Saint-Paul, Belgium

8. Department of Surgery and Surgical Specialties, Faculty of Health Sciences, Campus Universitaire, Champs de Foire, Cotonou 01 BP 118, Benin

9. Pharmacy, Clinique Universitaire Saint-Luc, Université Catholique de Louvain (UCLouvain), Avenue Hippocrate 10, 1200 Brussels, Belgium

Abstract

Methicillin-resistant Staphylococcus aureus (MRSA) constitutes a serious public health concern, with a considerable impact on patients’ health, and substantial healthcare costs. In this study, patients and healthcare workers (HCWs) from six public hospitals in Benin were screened for MRSA. Strains were identified as MRSA using conventional microbiological methods in Benin, and confirmed using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry in Belgium. Whole-genome sequencing (WGS) was used on the confirmed MRSA isolates, to characterize their genomic content and study their relatedness. Amongst the 305 isolates (304 wound swabs and 61 nasal swabs) that were collected from patients and HCWs, we detected 32 and 15 cases of MRSA, respectively. From this collection, 27 high-quality WGS datasets were obtained, which carried numerous genes and mutations associated with antimicrobial resistance. The mecA gene was detected in all the sequenced isolates. These isolates were assigned to five sequence types (STs), with ST8 (55.56%, n = 15/27), ST152 (18.52%, n = 5/27), and ST121 (18.52%, n = 5/27) being the most common. These 27 isolates carried multiple virulence genes, including the genes encoding the Panton–Valentine leukocidin toxin (48.15%, n = 13/27), and the tst gene (29.63%, n = 8/27), associated with toxic shock syndrome. This study highlights the need to implement a multimodal strategy for reducing the risk of the cross-transmission of MRSA in hospitals.

Funder

Académie de Recherche pour l’Enseignement Supérieur

Publisher

MDPI AG

Subject

Virology,Microbiology (medical),Microbiology

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