Molecular and Epidemiological Characterization of Toxigenic and Nontoxigenic Corynebacterium diphtheriae, Corynebacterium belfantii, Corynebacterium rouxii, and Corynebacterium ulcerans Isolates Identified in Spain from 2014 to 2019

2014年至2019年西班牙分离的产毒和非产毒白喉棒状杆菌、贝尔凡特棒状杆菌、鲁氏棒状杆菌和溃疡棒状杆菌的分子和流行病学特征

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Abstract

This study examines the microbiological and epidemiological characteristics of toxigenic and nontoxigenic Corynebacterium isolates submitted to the national reference laboratory in Spain, between 2014 and 2019, in order to describe the current situation and improve our knowledge regarding these emerging pathogens. Epidemiological information was extracted from the Spanish Surveillance System. Microbiological and molecular characterization was carried out using phenotypic methods, multilocus sequence typing (MLST), whole-genome sequencing (WGS), and core genome MLST (cgMLST). Thirty-nine isolates were analyzed. Twenty-one isolates were identified as Corynebacterium diphtheriae (6 toxigenic), 14 as C. belfantii, 4 as C. ulcerans (3 toxigenic), and 1 as C. rouxii One C. diphtheriae isolate was identified as nontoxigenic tox gene bearing (NTTB). Ages of patients ranged from 1 to 89 years, with 10% (3/30) of nontoxigenic and 22% (2/9) of toxigenic isolates collected from children less than 15 years. Twenty-five of the patients were males (17/30 in nontoxigenic; 8/9 in toxigenic). MLST identified 28 sequence types (STs), of which 7 were described for the first time in Spain. WGS analysis showed that 10 isolates, including 3 toxigenic isolates, harbored a variety of antibiotic resistance genes in addition to the high prevalence of penicillin resistance phenotypically demonstrated. Phylogenetic analysis revealed one cluster of isolates from family members. Risk information was available for toxigenic isolates (9/39); 3 patients reported recent travels to countries of endemicity and 3 had contact with cats/dogs. One unvaccinated child with respiratory diphtheria had a fatal outcome. Including nontoxigenic Corynebacterium infections in disease surveillance and using WGS could further improve current surveillance.

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