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Molecular diagnosis of tuberculosis.

Authors: RICHELDI, Luca; BARNINI S; SALTINI C.;

Molecular diagnosis of tuberculosis.

Abstract

Rapid and sensitive tools for the diagnosis of tuberculosis are needed, due to the increased incidence of tuberculosis epidemics and the length of time required by classical diagnostic tests, especially among human immunodeficiency virus (HIV)-infected patients. In this context, the recent advances in cloning and characterization of M. tuberculosis genes has allowed the application of basic molecular biology techniques to the examination of clinical samples, such as sputum and bronchoalveolar lavage (BAL), for the molecular diagnosis of tuberculous infection. By using the polymerase chain reaction (PCR) for the amplification of mycobacterial nucleic acids and nonradiometric revelation techniques, the time required for the identification of mycobacteria has been considerably shortened (24-48 h), in comparison to the time required by microbiological tests. When PCR technique is performed by experienced laboratory personnel using controlled protocols, false-negative (caused primarily by endogenous polymerase inhibitors) and false-positive results (due to contamination) can generally be avoided, achieving sensitivity and specificity close to 100%. In the clinical practice, the use of molecular testing for the diagnosis of tuberculosis, in combination with "classic" diagnostic tools, can greatly enhance the diagnostic ability of pulmonary clinicians, particularly in paucibacillary infections and in patients with atypical presentation, such as immunodeficient individuals.

Countries
Italy, United Kingdom
Keywords

AIDS-Related Opportunistic Infections, Predictive Value of Tests, 616, Humans, Nontuberculous Mycobacteria, Mycobacterium tuberculosis, Polymerase Chain Reaction, Tuberculosis, Pulmonary, BACTERIOLOGY; MOLECULAR BIOLOGY; POLYMERASE CHAIN REACTION; TUBERCULOSIS

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
23
Average
Top 10%
Top 10%
110
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