Systematic molecular/genomic epidemiology studies for tuberculosis surveillance cannot be implemented in many countries. We selected Panama as a model for an alternative strategy. Mycobacterial interspersed repetitive unit–variable-number tandem-repeat (MIRU-VNTR) analysis revealed a high proportion (50%) of Mycobacterium tuberculosis isolates included in 6 clusters (A–F) in 2 provinces (Panama and Colon). Cluster A corresponded to the Beijing sublineage. Whole-genome sequencing (WGS) differentiated clusters due to active recent transmission, with low single-nucleotide polymorphism–based diversity (cluster C), from clusters involving long-term prevalent strains with higher diversity (clusters A, B). Prospective application in Panama of 3 tailored strain–specific PCRs targeting marker single-nucleotide polymorphisms identified from WGS data revealed that 31.4% of incident cases involved strains A–C and that the Beijing strain was highly represented and restricted mainly to Colon. Rational integration of MIRU-VNTR, WGS, and tailored strain–specific PCRs could be a new model for tuberculosis surveillance in countries without molecular/genomic epidemiology programs.
The cellular immune response to Mycobacterium tuberculosis infection has been well characterized, while the humoral antibody response remains underexplored. We aimed to examine the total and anti-phospholipid IgM levels in the pleural lavage from mice with Mycobacterium bovis BCG extrapulmonary infection. We found that the levels of total and anti-phosphatidylcholine IgM antibodies remained significantly higher in infected mice as compared to non-infected mice up to day 90 after BCG infection, while the anti-cardiolipin IgM antibody levels decreased with bacteria clearance. Our findings suggest that IgM antibodies are secreted and their composition vary during early and late immune response to BCG pleurisy.
Objectives The aim of our study is to characterize the dietary factors and food items intake of people living with pulmonary tuberculosis in an urban and high disease incidence city in Panama. Methods We recruited 41 participants newly diagnosed with pulmonary tuberculosis. We applied a culturally adapted version of the NHANES Food Screener to estimate dietary median intakes and to evaluate daily and weekly frequencies of consumption. All frequencies reported were converted to daily frequency to describe the dietary patterns and make estimations. Direct observed anti-tuberculosis therapy was provided to all participants. Results Among the participants, 20% were female, the average age was 38.9 years old, the average body mass index was 20.4 and 16% were patients living with HIV. When comparing the consumption frequency reported by the TB patients with the Panamanian Dietary recommendations, these patients did not meet the minimal frequency intake of fruit and whole grain. Only 30% of participants achieved the recommended fruit frequency intake. We also found that only 37% of participants meet the recommended consumption of at least 3 times a week of beans and legumes. In contrast, a high number of these TB patients (34/41) reported a daily vegetable intake frequency and a mean of 25 teaspoons of added sugar daily intake. For sugar-sweetened beverages intake, we found a mean frequency intake of twice a day and 73% of our participants had a daily consumption of any dairy product. A total of 63% of our participants reported consumption of processed meat more than twice a week. Conclusions The food intake pattern in patients suffering tuberculosis includes daily consumption of vegetables, frequent consumption of dairy products and sport or fruit drinks, but a low frequency of fruits, beans, and legumes. These findings suggest that the protective dietary factors including fruits and whole grain are not consumed at the minimum requirement intake to improve general health in our patient group. We recommend decreasing processed meat intake among patients suffering tuberculosis. Also, we recommend the use of diet supplementation programs to improve anti-tuberculosis treatment success rates. Food security investigations to determine the extent of limitations to access healthy food remain key for improving disease control. Funding Sources Secretaria Nacional de Ciencia y Tecnologia de Panama (SENACYT).
Beijing genotype Mycobacterium tuberculosis strains associate with increased virulence, resistance, and/or higher transmission rates. This study describes a specific Beijing strain predominantly identified in the Panamanian province of Colon with one of the highest incidence of tuberculosis in the country. Retrospective Mycobacterial Interspersed Repetitive-Unit/Variable-Number of Tandem Repeats analysis of 42 isolates collected between January-August 2018, allowed to identify a cluster (Beijing A) with 17 (40.5%) Beijing isolates. Subsequent prospective strain-specific PCR based surveillance from September 2019 to March 2020, confirmed the predominance of the Beijing A strain (44.1%) in this province. Whole genome sequencing revealed higher-thanexpected diversity within the cluster, suggesting long-term prevalence of this strain and low number of cases caused by recent transmission. The Beijing A strain belongs to the Asian African 3 (Bmyc13, L2.2.5) branch of the modern Beijing sublineage, with their closest isolates corresponding to cases from Vietnam, probably introduced in Panama between 2000 and 2012.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.