Automated <i>Mycoplasma genitalium</i> molecular macrolide resistance detection and nucleic acid target semi-quantitation: patient demographic considerations
Data generated from a high-throughput, automated system and presented in this report expand upon knowledge of <i>Mycoplasma genitalium</i>-specific macrolide resistance in the United States and may further inform providers on population- or demographic-based considerations for macrolide resistance mutation determination in <i>M. genitalium</i>.
Authors
- Michael E. Newcomb (ORCID: https://orcid.org/0000-0002-8431-2946)
- Brian S. Mustanski (ORCID: https://orcid.org/0000-0001-9222-5116)
- J. B. Moore
- Amanda Zapp
- Kimber L. Munson
- Stephen C. Lavey
- Irene Stafford (ORCID: https://orcid.org/0000-0002-2803-7329)
- Erik Munson (ORCID: https://orcid.org/0000-0001-5359-6643)
- Trinity Krueger
Institutions
- Marquette University (US)
- Loyola University Chicago (US)
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- Microbiology Spectrum
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1128/spectrum.00738-25
- Primary Topic
- Reproductive tract infections research
- Type
- article
- Field-Weighted Citation Impact
- 0.00