Fluorescent acid-fast stains for diagnosing mycobacteria and beyond: back to the future?
Acid-fast stains (AFS) remain indispensable in modern diagnostic microbiology; they are used for detecting mycobacteria (including Mycobacterium tuberculosis and Mycobacterium leprae), acid-fast parasites, and some acid-variable bacteria as well as in histopathology. Fluorescent AFS surpass brightfield AFS (Ziehl-Neelsen) in sensitivity, particularly when pathogen loads are low. However, latest evidence suggests that these stains target nucleic acids, whereas lipid-rich, intact cell walls merely prevent decolourisation; this evidence corrects the long-held assumption that AFS bind to mycolic acids. This mechanism explains morphological features, such as the characteristic beading in mycobacteria, with direct implications for training microscopists and advancing artificial intelligence-assisted image analysis. This mechanism also facilitates protocol enhancements, including the use of high-yield fluorochromes or novel approaches to reduce background fluorescence. The latest novel applications, such as the detection of a low number of Schistosoma spp eggs, exemplify the broader utility of AFS. Combined with artificial intelligence-based slide interpretation, these advances in understanding staining mechanisms and expanding diagnostic applications show that AFS remain an important diagnostic laboratory modality, with considerable potential for future improvements.
Authors
- Thomas Hänscheid (ORCID: https://orcid.org/0000-0001-6353-9132)
- Luís Guilherme de Oliveira (ORCID: https://orcid.org/0000-0002-1861-5076)
- Martin P. Grobusch (ORCID: https://orcid.org/0000-0002-0046-1099)
- Danielle Segóvia Chrysostomo Pereira
- Sara M. Mahomed
Institutions
- University of Lisbon (PT)
- Centre de Recherche Médicales de Lambaréné (GA)
- Amsterdam University Medical Centers (NL)
- Universidade Federal do Espírito Santo (BR)
Publication Details
- Journal
- The Lancet Microbe
- Published
- 2025-10-22
- DOI
- https://doi.org/10.1016/j.lanmic.2025.101233
- Citations
- 2
- Primary Topic
- Mycobacterium research and diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 2.71