Genomic population structure, antimicrobial susceptibility, and clinical features of <i>Mycobacterium xenopi</i> isolates, Frankfurt, Germany, 1995–2020
<i>Mycobacterium xenopi</i> causes non-tuberculous mycobacterial pulmonary disease (NTM-PD) that is difficult to treat. However, data on the genomic population structure, antimicrobial susceptibility, and the clinical significance of this pathogen remain scarce. We analyzed 76 clinical <i>M. xenopi</i> isolates from 70 patients collected between 1995 and 2020 in Frankfurt am Main, Germany. All isolates underwent phenotypic drug susceptibility testing and whole-genome sequencing. Cluster analysis, including isolates from this study and all hitherto available high-quality <i>M. xenopi</i> genome data sets in the Sequence Read Archive (<i>n</i> = 11), was performed by core genome multilocus sequence typing. In our cohort, only 26.5% of patients met criteria for clinically relevant NTM-PD. Phylogenetic analysis identified three large hospital-associated clusters (≤10 allelic difference), each involving between 7 and 20 patients and persisting for over 18 years, suggesting prolonged transmission chains or a common environmental source. We also defined three major clades (≤50 allelic difference), two of which contained isolates from the United Kingdom. Clofazimine and guideline-recommended antimycobacterial agents showed good <i>in vitro</i> efficacy, except rifampicin, with 23.6% resistance. This study represents a major expansion of <i>M. xenopi</i> genomic resources and provides insights into the genomic population structure, phenotypic susceptibility, and clinical characteristics of <i>M. xenopi</i>. Guideline-recommended antimycobacterials show good <i>in vitro</i> activity, while clofazimine may be a valuable addition to <i>M. xenopi</i> therapy. The identified clusters underscore the need for further investigation into transmission dynamics and globally successful clones.IMPORTANCE<i>Mycobacterium xenopi</i> is an increasingly recognized opportunistic lung pathogen that is difficult to treat. Infections often occur in patients with pre-existing health conditions and can present substantial diagnostic and therapeutic challenges. A deeper understanding of its genetic diversity and resistance mechanisms is essential for optimal patient management and for clarifying potential transmission routes. By analyzing 76 whole-genome sequences together with detailed clinical information and phenotypic drug-susceptibility data, this study substantially expands the available genomic repertoire for <i>M. xenopi</i>. While clinical relevance was limited in our cohort, most guideline-recommended antimicrobial agents showed good efficacy <i>in vitro</i>. The detection of closely related strains might point toward a common environmental source of infection. These findings highlight the need for continued surveillance and provide a comprehensive foundation that supports more accurate monitoring, improved understanding of disease behavior, and future investigations into <i>M. xenopi</i> pathogenicity.
Authors
- Margo Diricks (ORCID: https://orcid.org/0000-0002-5428-1456)
- Teodora Biciusca (ORCID: https://orcid.org/0000-0002-7423-2926)
- Ann-Sophie Zielbauer (ORCID: https://orcid.org/0000-0003-3507-9217)
- Nils Wetzstein (ORCID: https://orcid.org/0000-0002-5589-4668)
- Thomas A. Wichelhaus (ORCID: https://orcid.org/0000-0002-4029-2955)
- Lisa Marschall
- Stefan Niemann
- Max Kevane-Campbell
- Martin Kuhns
- Sönke Andres
Institutions
- Goethe University Frankfurt (DE)
- Centre National de la Recherche Scientifique (FR)
- Goethe-Institute United Kingdom (GB)
- Université Paris Sciences et Lettres (FR)
- Leibniz Association (DE)
- Sorbonne Université (FR)
- Institut de Systématique, Évolution, Biodiversité (FR)
- Research Center Borstel - Leibniz Lung Center (DE)
- University Hospital Frankfurt (DE)
Publication Details
- Journal
- Journal of Clinical Microbiology
- Published
- 2026-02-09
- DOI
- https://doi.org/10.1128/jcm.01511-25
- Primary Topic
- Mycobacterium research and diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsches Zentrum für Infektionsforschung
- Joint Programming Initiative on Antimicrobial Resistance
- Insmed
- Bundesministerium für Bildung und Forschung
- Deutsche Krebshilfe