medigraphic.com
SPANISH

Salud Jalisco

ISSN 2448-8747 (Print)
Publicación cuatrimestral editada por la Secretaría de Salud Jalisco
  • Contents
  • View Archive
  • Information
    • General Information        
    • Directory
  • Publish
    • Instructions for authors        
  • medigraphic.com
    • Home
    • Journals index            
    • Register / Login
  • Mi perfil

2019, Number 3

<< Back Next >>

Sal Jal 2019; 6 (3)

Métodos actuales empleados para el diagnóstico de tuberculosis y su efi cacia en diversos entornos clínicos

López-Romero W; Flores-Valdez M; Camacho-Villegas TA
Full text How to cite this article

Language: Spanish
References: 65
Page: 170-180
PDF size: 376.50 Kb.


Key words:

DNA-based methods, Serology-based methods, Proteomics, Transcriptomics, Patient to patient variation.

ABSTRACT

Background: Tuberculosis (TB) is a disease caused by Mycobacterium tuberculosis, which is estimated to produce an asymptomatic (latent) infection in about 2 billion people worldwide. Th e World Health Organization (WHO) recommends sputum smear microscopy for the diagnosis of active TB. Chest radiography is usually used for patients who are negative for the detection of acid-fast bacilli in sputum, although it is not specifi c or sensitive enough for all people with TB. Th e tuberculin skin test using proteins of Mycobacterium tuberculosis can cross-react with the BCG vaccine, and tests based on secretion of the cytokine interferon gamma (IFNg) are still very expensive for a massive use. Objective: To provide an overview of the advantages and disadvantages of current methods for TB diagnosis and its application in low budget clinical settings. Materials and methods: Bibliographic search in Pubmed with the key words “tuberculosis” and “diagnosis” (https://www.ncbi. nlm.nih.gov/pubmed/?term=tuberculosis+diagnosis) published as of March, 2018. Results: Th ere are new diagnostic methods according to the progress of molecular biology. Tests that use serum as a sample to determine if TB exists are suitable for countries with limited resources because they oft en require readily available equipment. Conclusions: Recently, high performance approaches (“Omic” technologies) off er the option of searching for new biomarkers, derived from the host or the pathogen, which should translate into technologies or devices that ideally can be easily adopted in all clinical laboratories.


REFERENCES

  1. Aceti, A., Zanetti, S., Mura, M.S., Sechi, L.A., Turrini, F., Saba, F., Babudieri, S., Mannu, F., Fadda, G., 1999. Identifi cation of HIV patients with active pulmonary tuberculosis using urine based polymerase chain reaction assay. Th orax. 54, 145-146.

  2. Bartalesi, F., Spinicci, M., Mencarini, J., Veloci, S., Mantella, A., Bartoloni, A., 2017. Th e role of Quantiferon-TB Gold in-Tube in the diagnosis and treatment monitoring of active tuberculosis. Infect Dis-Nor. 49, 474-477.

  3. Bates, M., Zumla, A., 2016. Th e development, evaluation and performance of molecular diagnostics for detection of Mycobacterium tuberculosis. Expert Rev Mol Diagn. 16, 307-322.

  4. Behr, M.A., Wilson, M.A., Gill, W.P., Salamon, H., Schoolnik, G.K., Rane, S., Small, P.M., 1999. Comparative genomics of BCG vaccines by whole-genome DNA microarray. Science. 284, 1520- 1523.

  5. Berry, M.P.R., Graham, C.M., McNab, F.W., Xu, Z.H., Bloch, S.A.A., Oni, T., Wilkinson, K.A., Banchereau, R., Skinner, J., Wilkinson, R.J., Quinn, C., Blankenship, D., Dhawan, R., Cush, J.J., Mejias, A., Ramilo, O., Kon, O.M., Pascual, V., Banchereau, J., Chaussabel, D., O’Garra, A., 2010. An interferon-inducible neutrophil-driven blood transcriptional signature in human tuberculosis. Nature. 466, 973-U998.

  6. Bhalla, A.S., Goyal, A., Guleria, R., Gupta, A.K., 2015. Chest tuberculosis: Radiological review and imaging recommendations. Indian J Radiol Imaging. 25, 213-225.

  7. Bloom, C.I., Graham, C.M., Berry, M.P.R., Rozakeas, F., Redford, P.S., Wang, Y.Y., Xu, Z.H., Wilkinson, K.A., Wilkinson, R.J., Kendrick, Y., Devouassoux, G., Ferry, T., Miyara, M., Bouvry, D., Dominique, V., Gorochov, G., Blankenship, D., Saadatian, M., Vanhems, P., Beynon, H., Vancheeswaran, R., Wickremasinghe, M., Chaussabel, D., Banchereau, J., Pascual, V., Ho, L.P., Lipman, M., O’Garra, A., 2013. Transcriptional Blood Signatures Distinguish Pulmonary Tuberculosis, Pulmonary Sarcoidosis, Pneumonias and Lung Cancers. Plos One. 8.

  8. Boehme, C.C., Nabeta, P., Henostroza, G., Raqib, R., Rahim, Z., Gerhardt, M., Sanga, E., Hoelscher, M., Notomi, T., Hase, T., Perkins, M.D., 2007. Operational feasibility of using loopmediated isothermal amplifi cation for diagnosis of pulmonary tuberculosis in microscopy centers of developing countries. J Clin Microbiol. 45, 1936-1940.

  9. Cannas, A., Goletti, D., Girardi, E., Chiacchio, T., Calvo, L., Cuzzi, G., Piacentini, M., Melkonyan, H., Umansky, S.R., Lauria, F.N., Ippolito, G., Tomei, L.D., 2008. Mycobacterium tuberculosis DNA detection in soluble fraction of urine from pulmonary tuberculosis patients. Int J Tuberc Lung D. 12, 146-151.

  10. Cdc, 2009. Updated Guidelines for the Use of Nucleic Acid Amplifi cation Tests in the Diagnosis of Tuberculosis (Reprinted from MMWR, vol 58, pg 7-10, 2009). Jama-J Am Med Assoc. 301, 1014-1016.

  11. Chan, C.E., Gotze, S., Seah, G.T., Seeberger, P.H., Tukvadze, N., Wenk, M.R., Hanson, B.J., MacAry, P.A., 2015. Th e diagnostic targeting of a carbohydrate virulence factor from M.Tuberculosis. Sci Rep-Uk. 5.

  12. da Cruz, H.L.A., Montenegro, R.D., Lima, J.F.D., Poroca, D.D., Lima, J.F.D., Montenegro, L.M.L., Crovella, S., Schindler, H.C., 2011. Evaluation of a Nested-Pcr for Mycobacterium Tuberculosis Detection in Blood and Urine Samples. Braz J Microbiol. 42, 321- 329.

  13. Diel, R., Loddenkemper, R., Meywald-Walter, K., Niemann, S., Nienhaus, A., 2008. Predictive value of a whole blood IFN-gamma assay for the development of active tuberculosis disease aft er recent infection with Mycobacterium tuberculosis. Am J Respir Crit Care Med. 177, 1164-1170.

  14. Diel, R., Loddenkemper, R., Niemann, S., Meywald-Walter, K., Nienhaus, A., 2011. Negative and positive predictive value of a whole-blood interferon-gamma release assay for developing active tuberculosis: an update. Am J Respir Crit Care Med. 183, 88-95.

  15. Diel, R., Loddenkemper, R., Nienhaus, A., 2010. Evidence-based comparison of commercial interferon-gamma release assays for detecting active TB: a metaanalysis. Chest. 137, 952-968.

  16. DiNardo, A.R., Kay, A.W., Maphalala, G., Harris, N.M., Fung, C., Mtetwa, G., Ustero, P., Dlamini, S., Ha, N., Graviss, E.A., Mejia, R., Mandalakas, A.M., 2018. Diagnostic and Treatment Monitoring Potential of A Stool-Based Quantitative Polymerase Chain Reaction Assay for Pulmonary Tuberculosis. Am J Trop Med Hyg.

  17. Flores-Valdez, M.A., 2017. Uncovering the hidden: complexity and strategies for diagnosing latent tuberculosis. Microb Cell. 4, 365-367.

  18. Fu, Y., Li, W., Wu, Z., Tao, Y., Wang, X., Wei, J., Jiang, P., Wu, J., Zhang, Z., Zhang, W., Zhao, J., Zhang, F., 2018. Detection of mycobacterial small RNA in the bacterial culture supernatant and plasma of patients with active tuberculosis. Biochem Biophys Res Commun.

  19. Goletti, D., Lee, M.R., Wang, J.Y., Walter, N., Ottenhoff , T.H.M., 2018. Update on tuberculosis biomarkers: From correlates of risk, to correlates of active disease and of cure from disease. Respirology.

  20. Hamasur, B., Bruchfeld, J., van Helden, P., Kallenius, G., Svenson, S., 2015. A Sensitive Urinary Lipoarabinomannan Test for Tuberculosis. Plos One. 10.

  21. Hare, N.J., Chan, B., Chan, E., Kaufman, K.L., Britton, W.J., Saunders, B.M., 2015. Microparticles released from Mycobacterium tuberculosis-infected human macrophages contain increased levels of the type I interferon inducible proteins including ISG15. Proteomics. 15, 3020-3029.

  22. Hashemian, S.M., Tabarsi, P., Karam, M.B., Kahkouee, S., Marjani, M., Jamaati, H., Shekarchi, N., Mohajerani, S.A., Velayati, A.A., 2015. Radiologic manifestations of pulmonary tuberculosis in patients of intensive care units. Int J Mycobacteriol. 4, 233-238.

  23. Huang, J., Jiao, J.H., Xu, W.H., Zhao, H.Y., Zhang, C.X., Shi, Y., Xiao, Z.J., 2015. miR-155 is upregulated in patients with active tuberculosis and inhibits apoptosis of monocytes by targeting FOXO3. Mol Med Rep. 12, 7102-7108.

  24. Jimenez-Corona, M.E., Cruz-Hervert, L.P., Garcia-Garcia, L., Ferreyra-Reyes, L., Delgado-Sanchez, G., Bobadilla-Del-Valle, M., Canizales-Quintero, S., Ferreira-Guerrero, E., Baez-Saldana, R., Tellez-Vazquez, N., Montero-Campos, R., Mongua-Rodriguez, N., Martinez-Gamboa, R.A., Sifuentes-Osornio, J., Ponce-de-Leon, A., 2013. Association of diabetes and tuberculosis: impact on treatment and post-treatment outcomes. Th orax. 68, 214-220.

  25. Joosten, S.A., Fletcher, H.A., Ottenhoff , T.H., 2013. A helicopter perspective on TB biomarkers: pathway and process based analysis of gene expression data provides new insight into TB pathogenesis. PLoS One. 8, e73230.

  26. Kunnath-Velayudhan, S., Salamon, H., Wang, H.Y., Davidow, A.L., Molina, D.M., Huynh, V.T., Cirillo, D.M., Michel, G., Talbot, E.A., Perkins, M.D., Felgner, P.L., Liang, X., Gennaro, M.L., 2010. Dynamic antibody responses to the Mycobacterium tuberculosis proteome. Proc Natl Acad Sci U S A. 107, 14703-14708.

  27. Lardizabal, A.A., Reichman, L.B., 2017. Diagnosis of Latent Tuberculosis Infection. Microbiology Spectrum. 5.

  28. Lawn, S.D., Kerkhoff , A.D., Burton, R., Schutz, C., van Wyk, G., Vogt, M., Pahlana, P., Nicol, M.P., Meintjes, G., 2015. Rapid microbiological screening for tuberculosis in HIV-positive patients on the fi rst day of acute hospital admission by systematic testing of urine samples using Xpert MTB/RIF: a prospective cohort in South Africa. Bmc Med. 13.

  29. Ling, D.I., Flores, L.L., Riley, L.W., Pai, M., 2008. Commercial Nucleic-Acid Amplifi cation Tests for Diagnosis of Pulmonary Tuberculosis in Respiratory Specimens: Meta-Analysis and Meta- Regression. Plos One. 3.

  30. Maertzdorf, J., Weiner, J., 3rd, Kaufmann, S.H., 2012. Enabling biomarkers for tuberculosis control. Int J Tuberc Lung Dis. 16, 1140-1148.

  31. Maertzdorf, J., Weiner, J., 3rd, Mollenkopf, H.J., Network, T.B., Bauer, T., Prasse, A., Muller-Quernheim, J., Kaufmann, S.H., 2012. Common patterns and disease-related signatures in tuberculosis and sarcoidosis. Proc Natl Acad Sci U S A. 109, 7853-7858.

  32. Mazurek, G.H., Jereb, J., Vernon, A., LoBue, P., Goldberg, S., Castro, K., Committee, I.E., Centers for Disease, C., Prevention, 2010. Updated guidelines for using Interferon Gamma Release Assays to detect Mycobacterium tuberculosis infection - United States, 2010. MMWR Recomm Rep. 59, 1-25.

  33. McNerney, R., Cunningham, J., Hepple, P., Zumla, A., 2015. New tuberculosis diagnostics and rollout. Int J Infect Dis. 32, 81-86.

  34. McNerney, R., Maeurer, M., Abubakar, I., Marais, B., McHugh, T.D., Ford, N., Weyer, K., Lawn, S., Grobusch, M.P., Memish, Z., Squire, S.B., Pantaleo, G., Chakaya, J., Casenghi, M., Migliori, G.B., Mwaba, P., Zijenah, L., Hoelscher, M., Cox, H., Swaminathan, S., Kim, P.S., Schito, M., Harari, A., Bates, M., Schwank, S., O’Grady, J., Pletschette, M., Ditui, L., Atun, R., Zumla, A., 2012. Tuberculosis diagnostics and biomarkers: needs, challenges, recent advances, and opportunities. J Infect Dis. 205 Suppl 2, S147-158.

  35. Minion, J., Leung, E., Talbot, E., Dheda, K., Pai, M., Menzies, D., 2011. Diagnosing tuberculosis with urine lipoarabinomannan: systematic review and meta-analysis. European Respiratory Journal. 38, 1398-1405.

  36. Miotto, P., Mwangoka, G., Valente, I.C., Norbis, L., Sotgiu, G., Bosu, R., Ambrosi, A., Codecasa, L.R., Goletti, D., Matteelli, A., Ntinginya, E.N., Aloi, F., Heinrich, N., Reither, K., Cirillo, D.M., 2013. miRNA Signatures in Sera of Patients with Active Pulmonary Tuberculosis. Plos One. 8.

  37. Moore, D.A., Evans, C.A., Gilman, R.H., Caviedes, L., Coronel, J., Vivar, A., Sanchez, E., Pinedo, Y., Saravia, J.C., Salazar, C., Oberhelman, R., Hollm-Delgado, M.G., LaChira, D., Escombe, A.R., Friedland, J.S., 2006. Microscopic-observation drugsusceptibility assay for the diagnosis of TB. N Engl J Med. 355, 1539-1550.

  38. Nakiyingi, L., Moodley, V.M., Manabe, Y.C., Nicol, M.P., Holshouser, M., Armstrong, D.T., Zemanay, W., Sikhondze, W., Mbabazi, O., Nonyane, B.A.S., Shah, M., Joloba, M.L., Alland, D., Ellner, J.J., Dorman, S.E., 2014. Diagnostic Accuracy of a Rapid Urine Lipoarabinomannan Test for Tuberculosis in HIV-Infected Adults. Jaids-J Acq Imm Def. 66, 270-279.

  39. Nathella, P.K., Babu, S., 2017. Infl uence of diabetes mellitus on immunity to human tuberculosis. Immunology. 152, 13-24.

  40. Noordhoek, G.T., Mulder, S., Wallace, P., van Loon, A.M., 2004. Multicentre quality control study for detection of Mycobacterium tuberculosis in clinical samples by nucleic amplifi cation methods. Clin Microbiol Infec. 10, 295-301.

  41. Orme, I.M., Cooper, A.M., 1999. Cytokine chemokine cascades in immunity to tuberculosis. Immunol Today. 20, 307-312.

  42. Pai, M., Zwerling, A., Menzies, D., 2008. Systematic review: T-cellbased assays for the diagnosis of latent tuberculosis infection: an update. Ann Intern Med. 149, 177-184.

  43. Ren, N., Gao, G.J., Sun, Y., Zhang, L., Wang, H.Z., Hua, W.H., Wan, K.L., Li, X.W., 2015. MicroRNA signatures from multidrugresistant Mycobacterium tuberculosis. Mol Med Rep. 12, 6561- 6567.

  44. Ryu, Y.J., 2015. Diagnosis of pulmonary tuberculosis: recent advances and diagnostic algorithms. Tuberc Respir Dis (Seoul). 78, 64-71.

  45. Snider, D.E., 1985. Bacille Calmette-Guerin Vaccinations and Tuberculin Skin-Tests. Jama-J Am Med Assoc. 253, 3438-3439.

  46. Song, L.S., Wallstrom, G., Yu, X.B., Hopper, M., Van Duine, J., Steel, J., Park, J., Wiktor, P., Kahn, P., Brunner, A., Wilson, D., Jenny-Avital, E.R., Qiu, J., Labaer, J., Magee, D.M., Achkar, J.M., 2017. Identifi cation of Antibody Targets for Tuberculosis Serology using High-Density Nucleic Acid Programmable Protein Arrays. Mol Cell Proteomics. 16, S277-S289.

  47. Song, N., Tan, Y., Zhang, L., Luo, W., Guan, Q., Yan, M.Z., Zuo, R., Liu, W., Luo, F.L., Zhang, X.L., 2018. Detection of circulating Mycobacterium tuberculosis-specifi c DNA by droplet digital PCR for vaccine evaluation in challenged monkeys and TB diagnosis. Emerg Microbes Infect. 7, 78.

  48. Srivastava, S.K., van Rijn, C.J.M., Jongsma, M.A., 2016. Biosensor-based detection of tuberculosis. Rsc Adv. 6, 17759- 17771.

  49. Steingart, K.R., Dendukuri, N., Henry, M., Schiller, I., Nahid, P., Hopewell, P.C., Ramsay, A., Pai, M., Laal, S., 2009. Performance of purifi ed antigens for serodiagnosis of pulmonary tuberculosis: a meta-analysis. Clin Vaccine Immunol. 16, 260-276.

  50. Steingart, K.R., Henry, M., Laal, S., Hopewell, P.C., Ramsay, A., Menzies, D., Cunningham, J., Weldingh, K., Pai, M., 2007. Commercial serological antibody detection tests for the diagnosis of pulmonary tuberculosis: A systematic review. Plos Med. 4, 1041-1060.

  51. Steingart, K.R., Henry, M., Ng, V., 2006. Fluorescence versus conventional sputum smear microscopy for tuberculosis: a systematic review (vol 6, pg 570, 2006). Lancet Infectious Diseases. 6, 628-628.

  52. 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. Sputum processing methods to improve the sensitivity of smear microscopy for tuberculosis: a systematic review. Lancet Infect Dis. 6, 664-674.

  53. Steingart, K.R., Ramsay, A., Pai, M., 2007. Optimizing sputum smear microscopy for the diagnosis of pulmonary tuberculosis. Expert Rev Anti-Infe. 5, 327-331.

  54. Streitz, M., Tesfa, L., Yildirim, V., Yahyazadeh, A., Ulrichs, T., Lenkei, R., Quassem, A., Liebetrau, G., Nomura, L., Maecker, H., Volk, H.D., Kern, F., 2007. Loss of Receptor on Tuberculin- Reactive T-Cells Marks Active Pulmonary Tuberculosis. Plos One. 2.

  55. Sturenburg, E., Junker, R., 2009. Point-of-care testing in microbiology: the advantages and disadvantages of immunochromatographic test strips. Dtsch Arztebl Int. 106, 48- 54.

  56. Th eron, G., Peter, J., Calligaro, G., Meldau, R., Hanrahan, C., Khalfey, H., Matinyenya, B., Muchinga, T., Smith, L., Pandie, S., Lenders, L., Patel, V., Mayosi, B.M., Dheda, K., 2014. Determinants of PCR performance (Xpert MTB/RIF), including bacterial load and inhibition, for TB diagnosis using specimens from diff erent body compartments. Sci Rep-Uk. 4.

  57. Th ompson, E.G., Du, Y., Malherbe, S.T., Shankar, S., Braun, J., Valvo, J., Ronacher, K., Tromp, G., Tabb, D.L., Alland, D., Shenai, S., Via, L.E., Warwick, J., Aderem, A., Scriba, T.J., Winter, J., Walzl, G., Zak, D.E., Catalysis, T.B.B.C., 2017. Host blood RNA signatures predict the outcome of tuberculosis treatment. Tuberculosis (Edinb). 107, 48-58.

  58. Tyagi, S., Sharma, N., Tyagi, J.S., Haldar, S., 2017. Challenges in pleural tuberculosis diagnosis: existing reference standards and nucleic acid tests. Future Microbiol. 12, 1201-1218.

  59. Wallis, R.S., Kim, P., Cole, S., Hanna, D., Andrade, B.B., Maeurer, M., Schito, M., Zumla, A., 2013. Tuberculosis biomarkers discovery: developments, needs, and challenges. Lancet Infect Dis. 13, 362-372.

  60. Wang, L., Tian, X.D., Yu, Y., Chen, W., 2018. Evaluation of the performance of two tuberculosis interferon gamma release assays (IGRA-ELISA and T-SPOT.TB) for diagnosing Mycobacterium tuberculosis infection. Clin Chim Acta. 479, 74-78.

  61. WHO, 2008. Diagnostic Evaluation Series No. 2, World Health Organization.

  62. WHO, 2017. Global tuberculosis report 2017, World Health Organization.

  63. Zak, D.E., Penn-Nicholson, A., Scriba, T.J., Th ompson, E., Suliman, S., Amon, L.M., Mahomed, H., Erasmus, M., Whatney, W., Hussey, G.D., Abrahams, D., Kafaar, F., Hawkridge, T., Verver, S., Hughes, E.J., Ota, M., Sutherland, J., Howe, R., Dockrell, H.M., Boom, W.H., Th iel, B., Ottenhoff , T.H.M., Mayanja- Kizza, H., Crampin, A.C., Downing, K., Hatherill, M., Valvo, J., Shankar, S., Parida, S.K., Kaufmann, S.H.E., Walzl, G., Aderem, A., Hanekom, W.A., Acs, groups, G.C.c.s., 2016. A blood RNA signature for tuberculosis disease risk: a prospective cohort study. Lancet. 387, 2312-2322.

  64. Zribi, B., Roy, E., Pallandre, A., Chebil, S., Koubaa, M., Mejri, N., Gomez, H.M., Sola, C., Korri-Youssoufi, H., Haghiri- Gosnet, A.M., 2016. A microfluidic electrochemical biosensor based on multiwall carbon nanotube/ferrocene for genomic DNA detection of in clinical isolates. Biomicrofluidics. 10.

  65. Zumla, A.I., Schito, M., Maeurer, M., 2014. Advancing the portfolio of tuberculosis diagnostics, drugs, biomarkers, and vaccines. Lancet Infect Dis. 14, 267-269.




2020     |     www.medigraphic.com

Mi perfil

C?MO CITAR (Vancouver)

Sal Jal. 2019;6