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Frontiers in microbiology
2023;14 1220286.

An increase in erythromycin resistance in methicillin-susceptible from blood correlates with the use of macrolide/lincosamide/streptogramin antibiotics. EARS-Net Spain (2004-2020).

Achraf El Mammery, Eva Ramírez de Arellano, Javier E Cañada-García, Emilia Cercenado, Laura Villar-Gómara, Verónica Casquero-García, Silvia García-Cobos, José Antonio Lepe, Enrique Ruiz de Gopegui Bordes, Jorge Calvo-Montes, Nieves Larrosa Escartín, Rafael Cantón, María Pérez-Vázquez, Belén Aracil, Jesús Oteo-Iglesias
Author Information
  1. Achraf El Mammery: Laboratorio de Referencia e Investigación en Resistencia a Antibióticos e Infecciones Relacionadas con la Asistencia Sanitaria, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain.
  2. Eva Ramírez de Arellano: Laboratorio de Referencia e Investigación en Resistencia a Antibióticos e Infecciones Relacionadas con la Asistencia Sanitaria, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain.
  3. Javier E Cañada-García: Laboratorio de Referencia e Investigación en Resistencia a Antibióticos e Infecciones Relacionadas con la Asistencia Sanitaria, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain.
  4. Emilia Cercenado: Servicio de Microbiología, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
  5. Laura Villar-Gómara: Agencia Española de Medicamentos y Productos Sanitarios (AEMPS), Madrid, Spain.
  6. Verónica Casquero-García: Laboratorio de Referencia e Investigación en Resistencia a Antibióticos e Infecciones Relacionadas con la Asistencia Sanitaria, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain.
  7. Silvia García-Cobos: Laboratorio de Referencia e Investigación en Resistencia a Antibióticos e Infecciones Relacionadas con la Asistencia Sanitaria, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain.
  8. José Antonio Lepe: CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto Salud Carlos III, Madrid, Spain.
  9. Enrique Ruiz de Gopegui Bordes: CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto Salud Carlos III, Madrid, Spain.
  10. Jorge Calvo-Montes: CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto Salud Carlos III, Madrid, Spain.
  11. Nieves Larrosa Escartín: CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto Salud Carlos III, Madrid, Spain.
  12. Rafael Cantón: CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto Salud Carlos III, Madrid, Spain.
  13. María Pérez-Vázquez: Laboratorio de Referencia e Investigación en Resistencia a Antibióticos e Infecciones Relacionadas con la Asistencia Sanitaria, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain.
  14. Belén Aracil: Laboratorio de Referencia e Investigación en Resistencia a Antibióticos e Infecciones Relacionadas con la Asistencia Sanitaria, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain.
  15. Jesús Oteo-Iglesias: Laboratorio de Referencia e Investigación en Resistencia a Antibióticos e Infecciones Relacionadas con la Asistencia Sanitaria, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain.
PMID: 37822743 DOI: 10.3389/fmicb.2023.1220286

Abstract

Objectives: To describe and analyse erythromycin resistance trends in blood isolates of (EARS-Net Spain, 2004-2020) and the association of these trends with the consumption of macrolide, lincosamide, and streptogramin B (MLS) antibiotics. To assess molecular changes that could be involved in erythromycin resistance trends by whole genome analysis of representative isolates.
Materials and methods: We collected antibiotic susceptibility data for all first-blood isolates in patients from 47 Spanish hospitals according to EARS-Net criteria. MLS antibiotic consumption was obtained from the Spanish Agency for Medicines and Medical Devices (2008-2020). We sequenced 137 representative isolates for core genome multilocus sequence typing, resistome and virulome analysis.
Results: For the 36,612 invasive isolates, methicillin resistance decreased from 26.4% in 2004 to 22.4% in 2020. erythromycin resistance in methicillin-susceptible (MSSA) increased from 13.6% in 2004 to 28.9% in 2020 ( < 0.001); however, it decreased from 68.7 to 61.8% ( < 0.0001) in methicillin-resistant (MRSA). Total consumption of MLS antibiotics increased from 2.72 defined daily doses per 1,000 inhabitants per day (DID) in 2014 to 3.24 DID in 2016. By WGS, the macrolide resistance genes detected were (59.8%), (46%), and (45.2%). The genes were more prevalent in MSSA (44/57, 77.2%) than in MRSA (38/80, 47.5%). Most of the genes identified in MSSA after 2013 differed from the predominant gene (17/22, 77.3%), largely because was significantly associated with MSSA after 2013 (11/29, 37.9%). All 13 isolates in this study, except one, belonged to ST398 and came from 10 hospitals and six Spanish provinces.
Conclusion: The significant increase in erythromycin resistance in blood MSSA correlated with the consumption of the MLS antibiotics in Spain. These preliminary data seem support the hypothesis that the human ST398 MSSA clade with -mediated resistance to erythromycin may be involved in this trend.

Keywords

EARS-Net ST398 Staphylococcus aureus antibiotic consumption antibiotic resistance ermT macrolides

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Journal Article
Article has an altmetric score of 18

Word Cloud

Created with Highcharts 10.0.0resistanceisolatesMSSAerythromycinconsumptionEARS-NetMLSantibioticsantibiotictrendsbloodSpainSpanishgenesST3982004-2020macrolideinvolvedgenomeanalysisrepresentativedata47hospitalsdecreased4%20042020methicillin-susceptibleincreased139%< 08%MRSAperDID2%772013increaseObjectives:describeanalyseassociationlincosamidestreptograminBassessmolecularchangeswholeMaterialsmethods:collectedsusceptibilityfirst-bloodpatientsaccordingcriteriaobtainedAgencyMedicinesMedicalDevices2008-2020sequenced137coremultilocussequencetypingresistomevirulomeResults:36612invasivemethicillin2622Erythromycin6%28001however687610001methicillin-resistantTotal272defineddailydoses1000inhabitantsday20143242016WGSdetected5946%45prevalent44/5738/805%identifieddifferedpredominantgene17/223%largelysignificantlyassociated11/2937studyexceptonebelongedcame10sixprovincesConclusion:significantcorrelatedpreliminaryseemsupporthypothesishumanclade-mediatedmaytrendcorrelatesusemacrolide/lincosamide/streptograminStaphylococcusaureusermTmacrolides

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