ArticleTotal environment microbiology2025
Culture and real-time quantitative PCR to detect environmental nontuberculous mycobacteria in a clinical care center.
Article in Total environment microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- The effect of vaping on the human lung microbiota.Inhalation toxicology · 2026Article
- Aerosolization effects on coronavirus infectivity.Frontiers in microbiology · 2026Article
- Aerosolization AffectsMicroorganisms · 2025Article
- Mitigating airborne pathogen risks in a full-scale meat processing facility.Total environment microbiology · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Nontuberculous mycobacteria (NTM) are opportunistic pathogens widely distributed in natural and human-built environments. Despite their environmental frequency, the airborne presence and distribution of NTM in clinical settings remain poorly understood. In this study, we assessed NTM in air and floor surface samples within a clinical care center using both culture-based and qPCR methods. Air and floor samples were collected across three days from patient rooms, a dictation room, and a hallway using a wetted wall cyclone (WWC), a gelatin filter-based air sampler, and foam swabs. Using the culture-based method, viable NTM were recovered from three floor surface swabs, while all other samples were culture-negative. qPCR analysis revealed frequent NTM detection in air samples, with a higher positivity rate from WWC samples compared to gelatin filters, despite total bacterial count (TBC) being two orders of magnitude higher in gelatin filter samples. The highest frequency of qPCR-tested NTM-positive samples was observed in the clinic hallway, suggesting that airflow dynamics and patient movement influence bacterial redistribution. Floor swabs showed transient NTM detection patterns, likely influenced by environmental deposition and routine cleaning. Despite confirmed
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