Abstract Background Since non-tuberculous mycobacteria (NTM) disease is not notifiable in most European Union (EU) and European Economic Area (EEA) countries, the epidemiological situation of the >150 NTM species is largely unknown. We aimed to collect data on the frequency of NTM detection and NTM species types in EU/EEA countries. Methods Officially nominated national tuberculosis reference laboratories of all EU/EEA countries were asked to provide information on: laboratory routines for detection and identification of NTM, including drug sensitivity testing (DST) methods; data on the number and type of NTM species identified; coverage and completeness of the provided data on NTM; type and number of human specimens tested for NTM; and number of specimens tested for Mycobacterium tuberculosis complex and NTM. This information was summarized and the main results are described. Results In total, 99 different NTM species were identified with M. avium, M. gordonae, M. xenopi , M. intracellulare, and M. fortuitum identified most frequently. Seven percent of the NTM species could not be identified. NTM was cultured from between 0.4-2.0% of the specimens (data from four countries). The laboratories use culturing methods optimised for M. tuberculosis complex. Identification is mainly carried out by a commercial line probe assay supplemented with sequencing. Most laboratories carried out DST for rapid growers and only at the explicit clinical request for slow growers. Conclusion It is likely that the prevalence of NTM is underestimated because diagnostic procedures are not optimized specifically for NTM and isolates may not be referred to the national reference laboratory for identification. Due to the diagnostic challenges and the need to establish the clinical relevance of NTM, we recommend that countries should concentrate detection and identification in only few laboratories.
The taxonomic position of members of the Mycobacterium abscessus complex has been the subject of intensive investigation and, in some aspects confusion, in recent years as a result of varying approaches to genetic data interpretation. Currently, the former species Mycobacterium massiliense and Mycobacterium bolletii are grouped together as Mycobacterium abscessus subsp. bolletii. They differ greatly, however, as the former M. bolletii has a functional erm(41) gene that confers inducible resistance to macrolides, the primary therapeutic antimicrobials for M. abscessus, while in the former M. massiliense the erm(41) gene is non-functional. Furthermore, previous whole genome studies of the M. abscessus group support the separation of M. bolletii and M. massiliense. To shed further light on the population structure of Mycobacterium abscessus, 43 strains and three genomes retrieved from GenBank were subjected to pairwise comparisons using three computational approaches: verage ucleotide dentity, enome to enome istance and single nucleotide polymorphism analysis. The three methods produced overlapping results, each demonstrating three clusters of strains corresponding to the same number of taxonomic entities. The distances were insufficient to warrant distinction at the species level, but met the criteria for differentiation at the subspecies level. Based on prior erm(41)-related phenotypic data and current genomic data, we conclude that the species M. abscessus encompasses, in adjunct to the presently recognized subspecies M. abscessus subsp. abscessus and M. abscessus subsp. bolletii, a third subspecies for which we suggest the name M. abscessus subsp. massiliense comb. nov. (type strain CCUG 48898(T) =CIP 108297(T) =DSM 45103(T) = KCTC 19086(T)). ; research grants FFC from Fondazione Ricerca Fibrosi Cistica ; European Union PathoNgen-Trace project ; German Center for Infection Research (DZIF) ; Ist Sci San Raffaele, Emerging Bacterial Pathogens Unit, Milan, Italy ; Leibniz Zentrum Med & Biowissensch, Mol & Expt Mycobacteriol, Borstel, Germany ; Univ Texas Hlth Ctr Tyler, Dept Microbiol, Mycobact Nocardia Res Lab, Tyler, TX USA ; Univ Fed Sao Paulo, Escol Paulista Med, Dept Microbiol Imunol & Parasiotol, Sao Paulo, SP, Brazil ; Univ Madrid, Dept Prevent Med Publ Hlth & Microbiol, Madrid, Spain ; Diagnost Serv Manitoba, Winnipeg, MB, Canada ; Univ Texas Hlth Sci Ctr Tyler, Dept Pulm Med, Tyler, TX USA ; Meyer Univ Hosp, Reg Reference Ctr Cyst Fibrosis, Florence, Italy ; IRCCS Ca Granda, Cyst Fibrosis Microbiol Lab, Milan, Italy ; IRCCS Ca Granda, Cyst Fibrosis Ctr, Milan, Italy ; Departamento de Microbiologia, Imunologia e Parasitologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil ; research grants FFC from Fondazione Ricerca Fibrosi Cistica: 27/2014 ; European Union PathoNgen-Trace project: FP7-278864-2 ; Web of Science
13 Pages, 1 Figure, 4 tables. The authors' affiliations are listed in the Supplementary Appendix, available at NEJM.org. Supplementary Material, available at http://dx.doi.org/10.1056/NEJMoa1800474 ; BACKGROUND: The World Health Organization recommends drug-susceptibility testing of Mycobacterium tuberculosis complex for all patients with tuberculosis to guide treatment decisions and improve outcomes. Whether DNA sequencing can be used to accurately predict profiles of susceptibility to first-line antituberculosis drugs has not been clear. METHODS: We obtained whole-genome sequences and associated phenotypes of resistance or susceptibility to the first-line antituberculosis drugs isoniazid, rifampin, ethambutol, and pyrazinamide for isolates from 16 countries across six continents. For each isolate, mutations associated with drug resistance and drug susceptibility were identified across nine genes, and individual phenotypes were predicted unless mutations of unknown association were also present. To identify how whole-genome sequencing might direct first-line drug therapy, complete susceptibility profiles were predicted. These profiles were predicted to be susceptible to all four drugs (i.e., pansusceptible) if they were predicted to be susceptible to isoniazid and to the other drugs or if they contained mutations of unknown association in genes that affect susceptibility to the other drugs. We simulated the way in which the negative predictive value changed with the prevalence of drug resistance. RESULTS: A total of 10,209 isolates were analyzed. The largest proportion of phenotypes was predicted for rifampin (9660 [95.4%] of 10,130) and the smallest was predicted for ethambutol (8794 [89.8%] of 9794). Resistance to isoniazid, rifampin, ethambutol, and pyrazinamide was correctly predicted with 97.1%, 97.5%, 94.6%, and 91.3% sensitivity, respectively, and susceptibility to these drugs was correctly predicted with 99.0%, 98.8%, 93.6%, and 96.8% specificity. Of the 7516 isolates with complete phenotypic drug-susceptibility profiles, 5865 (78.0%) had complete genotypic predictions, among which 5250 profiles (89.5%) were correctly predicted. Among the 4037 phenotypic profiles that were predicted to be pansusceptible, 3952 (97.9%) were correctly predicted. CONCLUSIONS: Genotypic predictions of the susceptibility of M. tuberculosis to first-line drugs were found to be correlated with phenotypic susceptibility to these drugs. (Funded by the Bill and Melinda Gates Foundation and others.). ; Supported by grants from the Bill and Melinda Gates Foundation (OPP1133541, to CRyPTIC, plus separate support to Dr. Rodwell), a Wellcome Trust/Newton Fund–MRC Collaborative Award (200205/Z/15/Z, to CRyPTIC), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC) and NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, the NIHR Biomedical Research Centre at Barts, the NIHR Biomedical Research Centre at Imperial, the NIHR and NHS England (to the 100,000 Genomes Project, which is managed by Genomics England, a wholly owned company of the U.K. Department of Health), the Wellcome Trust, the Medical Research Council, Public Health England, a grant from the National Science and Technology Key Program of China (2014ZX10003002), a grant from the National Basic Research program of China (2014CB744403), a grant from the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB29020000), a grant from the European Commission Seventh Framework Program (FP7/2007-2013, to Borstel under grant agreement 278864 in the framework of the Patho-NGen-Trace project), the German Center for Infection Research (to Borstel), Leibniz Science Campus Evolutionary Medicine of the Lung (EvoLUNG), the Belgian Ministry of Social Affairs (to the Belgian Reference Center for Tuberculosis and Mycobacteria from Bacterial Diseases Service through a fund within the Health Insurance System), the French governmental program "Investing for the Future" (to Genoscreen), a grant from the European Commission Seventh Framework Program (FP7/2007-2013, to Genoscreen under grant agreement 278864 in the framework of the Patho-NGen-Trace project), grants from the Drug Resistant Tuberculosis Fund (R015833003, to Dr. Chaiprasert), the Faculty of Medicine, Siriraj Hospital, Mahidol University (to Dr. Chaiprasert), a grant from the Ministry of Economy and Competitiveness (MINECO), Spain (SAF2016-77346-R, to Dr. Comas), a grant from the European Research Council (638553-TB-ACCELERATE, to Dr. Comas), a grant from the BC Centre for Disease Control Foundation for Population and Public Health (to Dr. Gardy), a grant from the British Colombia Lung Association (to Dr. Gardy), grants from the Wellcome Trust and the Royal Society (101237/Z/13/Z and 102541/A/13/Z, to Drs. Wilson and Iqbal [Sir Henry Dale Fellows]), a grant from the National University of Singapore Yong Loo Lin School of Medicine Aspiration Fund (NUHSRO/2014/069/AF-New Idea/04, to Drs. Ong and Teo), a European Commission Seventh Framework Program European Genetic Network (EUROGEN) grant (201483, to Dr. Drobniewski), and the National Institute of Allergy and Infectious Diseases, National Institutes of Health (to Dr. Rodwell). Dr. T. Walker is an NIHR Academic Clinical Lecturer, and Drs. Crook, Peto, and Caulfield are NIHR Senior Investigators. No potential conflict of interest relevant to this article was reported. Disclosure forms provided by the authors are available with the full text of this article at NEJM.org. We thank Stéphanie Duthoy, Carina Hahn, Alamdar Hussain, Yannick Laurent, Mathilde Mairey, Vanessa Mohr, and Mahmood Qadir for technical assistance and George F. Gao, Director of the Chinese Center for Disease Control and Prevention, for directing the Chinese grant and sequencing program ; Peer reviewed