10 research outputs found

    Paraspinal Abscess Secondary to Tuberculous Spondylitis Diagnosed by Xpert MTB/RIF Assay in Rural Tanzania.

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    A 31-year-old HIV-negative man presented to our clinic with a 6-month history of back pain and a swelling at the back. Radiological studies revealed lumbar vertebral destruction. Ultrasound of the mass showed a septated cystic mass with turbid fluid. Diagnostic aspiration revealed thick pus and smear microscopy detected acid-fast bacilli. Xpert MTB/RIF assay detected Mycobacterium tuberculosis with no rifampicin resistance

    Preservation of sputum samples with cetylpyridinium chloride (CPC) for tuberculosis cultures and Xpert MTB/RIF in a low-income country

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    Culture contamination with environmental bacteria is a major challenge in tuberculosis (TB) laboratories in hot and humid climate zones. We studied the effect of cetylpyridinium chloride (CPC) preservation on culture results and performance of Xpert MTB/RIF.; Consecutive sputum samples from microscopy smear-positive TB patients were collected. Two-hundred samples were equally split in two aliquots, one aliquot was treated with CPC and stored at ambient temperature for 7 days. The second aliquot was immediately processed. Samples were decontaminated for 20, 15 or 10 min, and subsequently cultured on Löwenstein-Jensen medium. Furthermore, 50 samples were stored for 7, 14 and 21 days, and 100 CPC-pretreated samples tested by Xpert MTB/RIF.; CPC pretreated samples showed a higher culture yield compared to non-treated sputum samples across all decontamination times: 94% vs. 73% at 10 min (p = 0.01), 94% vs. 64% at 15 min (p = 0.004), and 90% vs. 52% at 20 min (p < 0.001). The quantitative culture grading was consistently higher in CPC treated compared to non-CPC treated samples. The proportion of contaminated cultures was lower in CPC pretreated samples across all decontamination times (range 2-6%) compared to non-CPC treated samples (15-16%). For storage times of CPC treated samples of 7, 14, and 21 days, 84, 86, and 84% of the respective cultures were positive. Of 91 CPC treated samples with a positive culture, 90 were also Xpert MTB/RIF positive.; CPC increases culture yield, decreases the proportion of contamination, and does not alter the performance of Xpert MTB/RIF

    Prevalence, predictors and reasons for home delivery amongst women of childbearing age in Dodoma Municipality in central Tanzania

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    Introduction: The objective was to determine the prevalence, predictors and reasons for home delivery amongst women of childbearing age in Dodoma, Tanzania. Methods: A cross-sectional study was conducted amongst women living in Dodoma Municipality. Data were collected using adapted questionnaires and analysed using SPPS version 23. A multivariable logistic regression model was used to assess the independent predictors of home delivery. Results: A total of 425 women of childbearing age were enrolled in this study. The mean (\ub1 SD) age of the participants was 28.7 (\ub17.1) years. The prevalence of home delivery was 35.5% (n=150, 95% CI 30.9 \u2013 40.2). Women with secondary school and above had 93% less odds of home delivery than women who had no education (AOR=0.0795% CI: 0.03-0.18). Women who lived in rural areas (AOR=3.49, 95% CI: 2.12-5.75), and women living more than 5km from health facilities (AOR=2.67, 95% CI: 1.65-4.37) had higher odds of home delivery. The main reasons for home delivery were transportation cost, and long distance to the nearest health facilities. Conclusion: In this population, the prevalence of home delivery remained to be high. To address this more collaborative multisectoral effort like strengthening health education and strengthening maternity waiting homes are needed

    The Sputum Microbiome in Pulmonary Tuberculosis and Its Association With Disease Manifestations: A Cross-Sectional Study.

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    Each day, approximately 27,000 people become ill with tuberculosis (TB), and 4,000 die from this disease. Pulmonary TB is the main clinical form of TB, and affects the lungs with a considerably heterogeneous manifestation among patients. Immunomodulation by an interplay of host-, environment-, and pathogen-associated factors partially explains such heterogeneity. Microbial communities residing in the host's airways have immunomodulatory effects, but it is unclear if the inter-individual variability of these microbial communities is associated with the heterogeneity of pulmonary TB. Here, we investigated this possibility by characterizing the microbial composition in the sputum of 334 TB patients from Tanzania, and by assessing its association with three aspects of disease manifestations: sputum mycobacterial load, severe clinical findings, and chest x-ray (CXR) findings. Compositional data analysis of taxonomic profiles based on 16S-rRNA gene amplicon sequencing and on whole metagenome shotgun sequencing, and graph-based inference of microbial associations revealed that the airway microbiome of TB patients was shaped by inverse relationships between Streptococcus and two anaerobes: Selenomonas and Fusobacterium. Specifically, the strength of these microbial associations was negatively correlated with Faith's phylogenetic diversity (PD) and with the accumulation of transient genera. Furthermore, low body mass index (BMI) determined the association between abnormal CXRs and community diversity and composition. These associations were mediated by increased abundance of Selenomonas and Fusobacterium, relative to the abundance of Streptococcus, in underweight patients with lung parenchymal infiltrates and in comparison to those with normal chest x-rays. And last, the detection of herpesviruses and anelloviruses in sputum microbial assemblage was linked to co-infection with HIV. Given the anaerobic metabolism of Selenomonas and Fusobacterium, and the hypoxic environment of lung infiltrates, our results suggest that in underweight TB patients, lung tissue remodeling toward anaerobic conditions favors the growth of Selenomonas and Fusobacterium at the expense of Streptococcus. These new insights into the interplay among particular members of the airway microbiome, BMI, and lung parenchymal lesions in TB patients, add a new dimension to the long-known association between low BMI and pulmonary TB. Our results also drive attention to the airways virome in the context of HIV-TB coinfection

    Boosting effect of IL-7 in interferon gamma release assays to diagnose Mycobacterium tuberculosis infection

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    A quarter of the world's population is estimated to be infected with Myobacterium tuberculosis (Mtb). Infection is detected by immune response to M. tuberculosis antigens using either tuberculin skin test (TST) and interferon gamma release (IGRA's), tests which have low sensitivity in immunocompromised. IL-7 is an important cytokine for T-cell function with potential to augment cytokine release in in-vitro assays. This study aimed to determine whether the addition of IL-7 in interferon-gamma release assays (IGRAs) improves its diagnostic performance of Mtb infection.; 44 cases with confirmed TB and 45 household contacts without TB were recruited and 1ml of blood was stimulated in two separate IGRA's tube set: one set of standard Quantiferon TB gold tubes mitogen, TB antigen and TB Nil; one set of customized Quantiferon TB gold tubes with added IL-7. Following IFN-γ and IP-10 release was determined using ELISA.; We found that the addition of IL-7 led to significantly higher release of IFN-γ in individuals with active TB from 4.2IU/ml (IQR 1.4-6.9IU/ml) to 5.1IU/ml (IQR 1.5-8.1IU/ml, p = 0.0057), and we found an indication of a lower release of both IFN-γ and IP-10 in participants with negative tests.; In TB cases addition of IL-7 in IGRA tubes augments IFN-γ but not IP-10 release, and seems to lower the response in controls. Whether IL-7 boosted IGRA holds potential over standard IGRA needs to be confirmed in larger studies in high and low TB incidence countries

    Back-to-Africa introductions of Mycobacterium tuberculosis as the main cause of tuberculosis in Dar es Salaam, Tanzania

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    In settings with high tuberculosis (TB) endemicity, distinct genotypes of the Mycobacterium tuberculosis complex (MTBC) often differ in prevalence. However, the factors leading to these differences remain poorly understood. Here we studied the MTBC population in Dar es Salaam, Tanzania over a six-year period, using 1,082 unique patient-derived MTBC whole-genome sequences (WGS) and associated clinical data. We show that the TB epidemic in Dar es Salaam is dominated by multiple MTBC genotypes introduced to Tanzania from different parts of the world during the last 300 years. The most common MTBC genotypes deriving from these introductions exhibited differences in transmission rates and in the duration of the infectious period, but little differences in overall fitness, as measured by the effective reproductive number. Moreover, measures of disease severity and bacterial load indicated no differences in virulence between these genotypes during active TB. Instead, the combination of an early introduction and a high transmission rate accounted for the high prevalence of L3.1.1, the most dominant MTBC genotype in this setting. Yet, a longer co-existence with the host population did not always result in a higher transmission rate, suggesting that distinct life-history traits have evolved in the different MTBC genotypes. Taken together, our results point to bacterial factors as important determinants of the TB epidemic in Dar es Salaam

    Back-to-Africa introductions of Mycobacterium tuberculosis as the main cause of tuberculosis in Dar es Salaam, Tanzania

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    In settings with high tuberculosis (TB) endemicity, distinct genotypes of the Mycobacterium tuberculosis complex (MTBC) often differ in prevalence. However, the factors leading to these differences remain poorly understood. Here we studied the MTBC population in Dar es Salaam, Tanzania over a six-year period, using 1,082 unique patient-derived MTBC whole-genome sequences (WGS) and associated clinical data. We show that the TB epidemic in Dar es Salaam is dominated by multiple MTBC genotypes introduced to Tanzania from different parts of the world during the last 300 years. The most common MTBC genotypes deriving from these introductions exhibited differences in transmission rates and in the duration of the infectious period, but little differences in overall fitness, as measured by the effective reproductive number. Moreover, measures of disease severity and bacterial load indicated no differences in virulence between these genotypes during active TB. Instead, the combination of an early introduction and a high transmission rate accounted for the high prevalence of L3.1.1, the most dominant MTBC genotype in this setting. Yet, a longer co-existence with the host population did not always result in a higher transmission rate, suggesting that distinct life-history traits have evolved in the different MTBC genotypes. Taken together, our results point to bacterial factors as important determinants of the TB epidemic in Dar es Salaam.ISSN:1553-7374ISSN:1553-736

    Local adaptation in populations of Mycobacterium tuberculosis endemic to the Indian Ocean Rim

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    This work was supported by the Swiss National Science Foundation (grants 310030_188888, CRSII5_177163, IZRJZ3_164171 and IZLSZ3_170834) and the European Research Council (309540‑EVODRTB and 883582-ECOEVODRTB)Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland.Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland.Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland.Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland.Institute of Biomedicine of Valencia. Valencia, Spain.Universidade Federal do Rio de Janeiro. Instituto de Microbiologia. Laboratório de Micobactérias. Rio de Janeiro, RJ, Brazil / Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Programa de Pós-graduação em Pesquisa Clínica e Doenças Infecciosas. Rio de Janeiro, RJ, Brazil.University of Valencia- joint Unit. I2SysBio,Valencia, Spain.University of Cape Town. Wellcome Centre for Infectious Diseases Research in Africa. Institute of Infectious Diseases and Molecular Medicine. Cape Town, South Africa.Makerere University. Department of Medical Microbiology. Kampala, Uganda.National Health Research Institutes. National Institute of Infectious Diseases and Vaccinology. Zhunan, Taiwan.Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland.Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland / University of Bern. Institute for Social and Preventive Medicine. Switzerland.Victorian Infectious Diseases Reference Laboratory. Victoria, Australia.Fudan University. School of Basic Medical Science. Institutes of Biomedical Sciences and Institute of Medical Microbiology. The Key Laboratory of Medical Molecular Virology of Ministries of Education and Health. Shanghai, China.Instituto de Investigación Sanitaria Gregorio Marañón. Hospital General Universitario Gregorio Marañón. Madrid, Spain / CIBER Enfermedades Respiratorias. Spain.Universitat de Barcelona. Hospital Clínic. Barcelona Institute for Global Health. Barcelona, Spain / Centro de Investigação em Saúde de Manhiça. Maputo, Mozambique.Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland.Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland / United Republic of Tanzania. Ifakara Health Institute, Bagamoyo, Bagamoyo District Hospital. Bagamoyo, Tanzania.Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland.Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland.Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland / United Republic of Tanzania. Ifakara Health Institute. Bagamoyo District Hospital. Bagamoyo, Tanzania.University of California. School of Medicine. San Francisco, USA.Fudan University. School of Basic Medical Science. Institutes of Biomedical Sciences and Institute of Medical Microbiology. The Key Laboratory of Medical Molecular Virology of Ministries of Education and Health. Shanghai, China.Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland / Papua New Guinea Institute of Medical Research. Goroka, Papua New Guinea.Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland.Mahidol University. Faculty of Science. Department of Microbiology. Pornchai Matangkasombut Center for Microbial Genomics / National Science and Technology Development Agency. Bangkok, Thailand.Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland.Mahidol University. Faculty of Science. Department of Microbiology. Pornchai Matangkasombut Center for Microbial Genomics / National Science and Technology Development Agency. Bangkok, Thailand.Institut Pasteur de Madagascar. Mycobacteriology Unit. Antananarivo, Madagascar.Institut Pasteur de Madagascar. Mycobacteriology Unit. Antananarivo, Madagascar.Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland.University of Basel. Basel, Switzerland / Swiss Tropical and Public Health Institute. Department of Medicine. Basel, Switzerland.Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland / United Republic of Tanzania. Ifakara Health Institute. Bagamoyo District Hospital. Bagamoyo, Tanzania.Universidade Federal do Rio de Janeiro. Instituto de Microbiologia. Laboratório de Micobactérias. Rio de Janeiro, RJ, Brazil.Université Paris-Saclay. Paris, France / Paris Diderot University. Sorbonne Paris Cité. Paris, France.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Biologia Molecular Aplicada a Micobactérias. Rio de Janeiro, RJ, Brazil.Universidade do Estado do Pará. Centro de Ciências Biológicas e da Saúde. Programa de Pós-graduação em Biologia Parasitária na Amazônia. Belém, PA, Brazil / Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.University of Ghana. Noguchi Memorial Institute for Medical Research. Accra, Ghana.ETH Zürich. Department of Biosystems Science and Engineering. Basel, Switzerland.Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland.Swiss Tropical and Public Health Institute. Department of Medical Parasitology and Infection Biology. Basel, Switzerland / University of Basel. Basel, Switzerland.Lineage 1 (L1) and 3 (L3) are two lineages of the Mycobacterium tuberculosis complex (MTBC), causing tuberculosis (TB) in humans. L1 and L3 are endemic to the Rim of the Indian Ocean, the region that accounts for most of the world’s new TB cases. Despite their relevance for this region, L1 and L3 remain understudied. Here we analyzed 2,938 L1 and 2,030 L3 whole genome sequences originating from 69 countries. We show that South Asia played a central role in the dispersion of these two lineages to neighboring regions. Moreover, we found that L1 exhibits signatures of local adaptation at the esxH locus, a gene coding for a secreted effector that targets the human endosomal sorting complex, and is included in several vaccine candidates. Our study highlights the importance of genetic diversity in the MTBC, and sheds new light on two of the most important MTBC lineages affecting humans

    Back-to-Africa introductions of Mycobacterium tuberculosis as the main cause of tuberculosis in Dar es Salaam, Tanzania.

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    In settings with high tuberculosis (TB) endemicity, distinct genotypes of the Mycobacterium tuberculosis complex (MTBC) often differ in prevalence. However, the factors leading to these differences remain poorly understood. Here we studied the MTBC population in Dar es Salaam, Tanzania over a six-year period, using 1,082 unique patient-derived MTBC whole-genome sequences (WGS) and associated clinical data. We show that the TB epidemic in Dar es Salaam is dominated by multiple MTBC genotypes introduced to Tanzania from different parts of the world during the last 300 years. The most common MTBC genotypes deriving from these introductions exhibited differences in transmission rates and in the duration of the infectious period, but little differences in overall fitness, as measured by the effective reproductive number. Moreover, measures of disease severity and bacterial load indicated no differences in virulence between these genotypes during active TB. Instead, the combination of an early introduction and a high transmission rate accounted for the high prevalence of L3.1.1, the most dominant MTBC genotype in this setting. Yet, a longer co-existence with the host population did not always result in a higher transmission rate, suggesting that distinct life-history traits have evolved in the different MTBC genotypes. Taken together, our results point to bacterial factors as important determinants of the TB epidemic in Dar es Salaam
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