Usefulness of thoracic CT to diagnose tuberculosis disease in patients younger than 4 years of age

BACKGROUND

There is controversy over the need of using thoracic CT (TCT) systematically for differentiating disease from tuberculosis infection in young children. This distinction is important when making a diagnosis of TB as the treatment changes from a single drug to a multidurug regimen with reported side-effects.

AIM

To determine the usefulness of using TCT to diagnose pulmonary tuberculosis (PTB) in patients younger than 4 years of age who have TB infection (IBI).

MATERIALS AND METHODS

After the simultaneous detection of four cases of PTB in children who attended the same class, a study on the contact among workers and children was carried out. One hundred sixteen children younger than 4 years and 20 adults were included. The tuberculin skin test (TST) was performed on all of them. CHEST XR (CXR) and TCT were performed on children with positive TST and three samples of gastric acid were taken. CXR and sputum testing were performed on adults with positive TST.

RESULTS

TST was positive in 28 children (24.1%). In 92.8% of children with positive TST and normal CXR, TCT showed features compatible with PTB. Out of the 28 children with positive TST, 27 (96.4%) were diagnosed with PTB and only one with latent TBI (4%).

CONCLUSIONS

In children younger than 4-year old with positive TST and normal CXR, it would be advisable to perform a TCT since the findings could change the diagnosis from TBI to TB disease.

A novel method for the rapid and prospective identification of Beijing Mycobacterium tuberculosis strains by high-resolution melting analysis

Genotypic analysis of Mycobacterium tuberculosis (MTB) has enabled the definition of several lineages. The Beijing family, which is considered highly virulent and transmissible, has been associated with resistance in certain settings and involved in severe outbreaks, making it one of the most closely-monitored lineages. Therefore, rapid prospective identification of Beijing MTB strains could be relevant. In the present study, we evaluate a real-time PCR followed by high-resolution melting (HRM) based on the identification of a single nucleotide polymorphism (SNP) in the Rv2629 gene which defines Beijing lineage (A191C for Beijing genotype and A191A for non-Beijing genotype). This combined methodology efficiently differentiated Beijing and non-Beijing strains in 100% of the isolates from a collection of reference strains without requiring specific DNA probes. Additionally, HRM was able to assign a Beijing/non-Beijing genotype in 90.9% of the respiratory specimens assayed. Its applicability was tested on a Peruvian sample of circulating MTB strains, in which it identified 10.7% as belonging to the Beijing genotype; this proportion reached 20% in the North Lima area. HRM analysis of the A191C SNP is a rapid, reliable, and sensitive method for the efficient prospective survey of high-risk Beijing MTB strains, even in developing settings where MTB culture is often not available.

Characterization of Mycobacterium tuberculosis Beijing isolates from the Mediterranean area

BACKGROUND

The Beijing lineage of Mycobacterium tuberculosis is causing concern due to its global distribution and its involvement in severe outbreaks. Studies focused on this lineage are mainly restricted to geographical settings where its prevalence is high, whereas those in other areas are scarce. In this study, we analyze Beijing isolates in the Mediterranean area, where this lineage is not prevalent and is mainly associated with immigrant cases.

RESULTS

Only 1% (N = 26) of the isolates from two population-based studies in Spain corresponded to Beijing strains, most of which were pan-susceptible and from Peruvian and Ecuadorian patients. Restriction fragment length polymorphism typing with the insertion sequence IS6110 identified three small clusters (2-3 cases). Mycobacterial interspersed repetitive unit-variable number tandem repeat typing (MIRU-15) offered low discriminatory power, requiring the introduction of five additional loci. A selection of the Beijing isolates identified in the Spanish sample, together with a sample of Beijing strains from Italy, to broaden the analysis context in the Mediterranean area, were assayed in an infection model with THP-1 cells. A wide range of intracellular growth rates was observed with only two isolates showing an increased intracellular replication, in both cases associated with contained production of TNF-alpha. No correlation was observed between virulence and the Beijing phylogenetic group, clustered/orphan status, or resistance. The Beijing strain responsible for extensive spread on Gran Canaria Island was also identified in Madrid, but did not lead to secondary cases and did not show high infectivity in the infection model.

CONCLUSIONS

The Beijing lineage in our area is a non-homogeneous family, with only certain highly virulent representatives. The specific characterization of Beijing isolates in different settings could help us to accurately identify the virulent representatives before making general assumptions about this lineage.

Evaluation of alternatives to RFLP for the analysis of clustered cases of tuberculosis

BACKGROUND

Mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) analysis is a recently developed method which could be suitable as a 'real-time' genotyping tool for Mycobacterium tuberculosis.

METHODS

One hundred and thirty-four M. tuberculosis isolates were analysed using the reference method, IS6110-restriction fragment length polymorphism (RFLP), and by MIRU, alone and together with spoligotyping.

RESULTS

MIRU reduced the genotyping turnaround time by 21 days. The discriminatory power (HGDI) for MIRU and RFLP was 0.978 and 0.989, respectively. RFLP clustered 41.8% of the isolates (17 clusters; 2-9 representatives), whereas MIRU increased the number and size of the clusters (57.5% of the isolates in 20 clusters; 2-14 representatives). With respect to the RFLP clusters, MIRU data showed full correlation in only 7/ 17 (41%) clusters and low correlation in 8/17 (47%) clusters. When MIRU and spoligotyping were considered together, the analysis fitted better with RFLP data: 1) 42.5% of the isolates were grouped in 20 clusters of 2-6 representatives, and 2) the number of clusters with full correlation with RFLP data increased to 11/17 and those with low correlation decreased to 2/17.

CONCLUSION

MIRU-VNTR analysis showed low correlation with RFLP. The addition of spoligotyping to MIRU analysis fitted much better with RFLP analysis, although full correlation was still not achieved.