The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Autofluorescence of Mycobacteria as a Tool for Detection of Mycobacterium tuberculosis
Open accessAbstract
The diagnosis of tuberculosis in developing countries still relies on direct sputum examination by light microscopy, a method that is easy to perform and that is widely applied. However, because of its poor sensitivity and requirement for significant labor and training, light microscopy examination detects the bacilli in only 45 to 60% of all people whose specimens are culture positive for Mycobacterium tuberculosis . Therefore, new diagnostic methods that would enable the detection of the undiagnosed infected population and allow the early commencement of antituberculosis treatment are needed. In this work, the potential use of mycobacterial cyan autofluorescence for the detection of Mycobacterium tuberculosis was explored. The tubercle bacilli were easily visualized as brilliant fluorescent bacilli by microscopy and were easily tracked ex vivo during macrophage infection. Assays with seeded sputum and a 96-well microplate reader fluorimeter indicated that <10 6 bacilli ml −1 of sputum could be detected. Moreover, the use of microplates allowed the examination of only 200 μl of sputum per sample without a loss of sensitivity. Treatment with heat or decontaminating chemical agents did not interfere with the autofluorescence assay; on the contrary, they improved the level of bacterial detection. Autofluorescence for the detection of bacilli is rapid and easy to perform compared to other methodologies and can be performed with minimal training, making this method suitable for implementation in developing countries.
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“However, some organisms exhibiting spontaneous emission spectra following excitation at specific wavelengths may pose problem in the detection of Mycobacteria. These organisms such as spore-forminglike Bacillus subtilis, nonspore-forming bacteria like Staphylococcus aureus, Nocardia, budding yeast may produce fluorescence [13].”
From Correlation of Various Techniques in Diagnosis of Tuberculous Lymphadenitis on Fine Needle Aspiration Cytology (2013) · cites this paper as [13]
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Cites
A small-molecule nitroimidazopyran drug candidate for the treatment of tuberculosis
Stover, C. K., Warrener, P., VanDevanter, D. R., Sherman, D. R., Arain, T. M., Langhorne, M. H., Anderson, S. W., Towell, J. A., Yuan, Y., McMurray, D. N., et al. (2000) · Nature · doi:10.1038/35016103 · Cited by 1,039
Fluorescence versus conventional sputum smear microscopy for tuberculosis: a systematic review
Steingart, K. R., Henry, M., Ng, V., Hopewell, P. C., Ramsay, A., Cunningham, J. A., Urbanczik, R., Perkins, M. D., Aziz, M. A., & Pai, M. (2006) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(06)70578-3 · Cited by 802
Steingart, K. R., Ng, V., Henry, M., Hopewell, P. C., Ramsay, A., Cunningham, J., Urbanczik, R., Perkins, M. D., Aziz, M. A., & Pai, M. (2006) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(06)70602-8 · Cited by 573
Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence
Cole, S. T., Brosch, R., Parkhill, J., Garnier, T., Churcher, C., Harris, D., Gordon, S. V., Eiglmeier, K., Gas, S., Barry, C. E., et al. (1998) · Nature · doi:10.1038/24206 · Cited by 555
Tuberculosis — metabolism and respiration in the absence of growth
Boshoff, H. I. M., & Barry, C. E. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1065 · Cited by 448
Improved identification of methanogenic bacteria by fluorescence microscopy
Doddema, H. J., & Vogels, G. D. (1978) · Applied and Environmental Microbiology · doi:10.1128/aem.36.5.752-754.1978 · Cited by 308
Quantitative studies of mycobacterial populations in sputum and saliva.
Yeager, H., Lacy, J., Smith, L. R., & LeMaistre, C. A. (1967) · PubMed · doi:10.1164/arrd.1967.95.6.998 · Cited by 196
Pai, M., Kalantri, S., & Dheda, K. U. J. (2006) · Expert Review of Molecular Diagnostics · doi:10.1586/14737159.6.3.423 · Cited by 194
Enumeration of Tubercle Bacilli in Sputum of Patients with Pulmonary Tuberculosis
Hobby, G. L., Holman, A. P., Iseman, M. D., & Jones, J. M. (1973) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.4.2.94 · Cited by 172
Distribution of coenzyme F420 and properties of its hydrolytic fragments
Eirich, L. D., Vogels, G. D., & WOLFE, R. S. (1979) · Journal of Bacteriology · doi:10.1128/jb.140.1.20-27.1979 · Cited by 163
Factors Affecting the Clinical Value of Microscopy for Acid-Fast Bacilli
Lipsky, B. A., Gates, J., Tenover, F. C., & Plorde, J. J. (1984) · Clinical Infectious Diseases · doi:10.1093/clinids/6.2.214 · Cited by 150
Lessons From a Proficiency Testing Event for Acid-Fast Microscopy
Somoskövi, Á., Hotaling, J. E., Fitzgerald, M., et al. (2001) · CHEST Journal · doi:10.1378/chest.120.1.250 · Cited by 109
Use of fluorescence spectroscopy to differentiate yeast and bacterial cells
Bhatta, H., Goldys, E. M., & Learmonth, R. P. (2006) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-005-0309-y · Cited by 90
Widespread Distribution of a 5-deazaflavin Cofactor in Actinomyces and Related Bacteria
Daniels, L., Bakhiet, N., & Harmon, K. R. (1985) · Systematic and Applied Microbiology · doi:10.1016/s0723-2020(85)80004-7 · Cited by 80
Purwantini, E., Gillis, T. P., & Daniels, L. (1997) · FEMS Microbiology Letters · doi:10.1111/j.1574-6968.1997.tb10182.x · Cited by 80
Alimova, A., Katz, A., Savage, H. E., Shah, M. K., Minko, G., Will, D. V., Rosen, R. B., McCormick, S. A., & Alfano, R. R. (2003) · Applied Optics · doi:10.1364/ao.42.004080 · Cited by 60
Structures of coenzyme F 420 in Mycobacterium species
Bair, T., Isabelle, D., & Daniels, L. (2001) · Archives of Microbiology · doi:10.1007/s002030100290 · Cited by 51
Increased sensitivity of acid-fast smears
Rickman, T. W., & Moyer, N. P. (1980) · Journal of Clinical Microbiology · doi:10.1128/jcm.11.6.618-620.1980 · Cited by 49
Amemura‐Maekawa, J., Hayakawa, Y., SUGIE, H., et al. (2004) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2004.08.180 · Cited by 40
Effect of temperature on the spectral properties of coenzyme F420 and related compounds
Purwantini, E., Mukhopadhyay, B., Spencer, R. W., & Daniels, L. (1992) · Analytical Biochemistry · doi:10.1016/0003-2697(92)90446-e · Cited by 34
Naraoka, T., Momoi, K., FUKASAWA, K., et al. (1984) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/0304-4165(84)90260-5 · Cited by 29
Quality Evaluation of Sputum Specimens for Mycobacterial Culture
McCarter, Y. S., & Robinson, A. (1996) · American Journal of Clinical Pathology · doi:10.1093/ajcp/105.6.769 · Cited by 28
CORRELATION OF ACID FAST STAINING METHODS WITH CULTURE RESULTS FOR MYCOBACTERIA
Kubica, U. P. (1980) · Cited by 22
Salazar, L., Guerrero, E., Casart, Y., et al. (2003) · Microbiology · doi:10.1099/mic.0.25832-0 · Cited by 21
Self-citationMonitoring the identity of bacteria using their intrinsic fluorescence
Leblanc, L. E. (2002) · FEMS Microbiology Letters · doi:10.1016/s0378-1097(02)00636-5 · Cited by 10
Allan, V. (1999) · doi:10.1093/oso/9780199637416.003.0001 · Cited by 10
Research works printed but not linked: 11
- 10.1016/0041-3879(80)90001-X · DOI
- 10.1038/31159 · DOI · Paper page
- 10.1021/bi00615a002 · DOI
- 10.1586/14787210.5.1.61 · DOI
- 10.1023/B:JOFL.0000008059.74052.3c · DOI
- 10.1016/S1473-3099(06)70628-4 · DOI
- 10.1128/AEM.68.11.5750-5755.2002 · DOI
- 10.1111/j.1574-6968.2002.tb11217.x · DOI
- 10.1128/AEM.68.8.4095-4101.2002 · DOI
- 10.1073/pnas.0508392103 · DOI
- 10.1128/JCM.37.11.3564-3568.1999 · DOI
Cited by
Thakur, B., Mehrotra, R., & Nigam, J. S. (2013) · Pathology Research International · doi:10.1155/2013/824620 · Cited by 41
Metadata
- Authors
- Patiño, S., Alamo, L., Cimino, M., Casart, Y., Bartoli, F., García, M. J., & Salazar, L.
- Affiliations
- Departamento de Biología Estructural, Instituto Venezolano de Investigaciones Científicas, Altos de Pipe, Estado Miranda, Venezuela
- Instituto Venezolano de Investigaciones Científicas (VE)
- Departamento de Medicina Preventiva, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain
- Corresponding author
- Salazar, Leiria
- Venue
- Journal of Clinical Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2008-10
- Volume
- 46
- Issue
- 10
- Pages
- 3296-3302
- ISSN
- 0095-1137 (ISSN-L)
- 1098-660X
- PMC
- PMC2566091
- OpenAlex
- W2150449836
- Cited by
- 59
- References
- 26
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 3 · 2022: 4 · 2021: 4 · 2020: 2 · 2019: 2 · 2018: 8 · 2017: 2 · 2016: 7 · 2015: 6 · 2014: 4 · 2013: 2 · 2012: 5
- FWCI
- 0.85
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- journals.asm.org/non-commercial-tdm-license (tdm)
- Locations
- Journal of Clinical Microbiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- European Commission
- Universidad Complutense de Madrid
- Topics
- Health Sciences › Medicine › Infectious Diseases › Tuberculosis Research and Epidemiology
- Health Sciences › Medicine › Epidemiology › Mycobacterium research and diagnosis
- Health Sciences › Medicine › Infectious Diseases › Infectious Diseases and Tuberculosis
- Keywords
- Mycobacterium tuberculosis, tuberculosis diagnosis, sputum examination, fluorometric determination, macrophage infection, heat treatment (food and biological processing), decontamination, resource-limited settings
- MeSH terms
- Bacteriological Techniques, Fluorescence, Humans, Microscopy, Fluorescence, Mycobacterium tuberculosis, Sensitivity and Specificity, Tuberculosis
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