Tuberculosis in childhood and adolescence: a view from different perspectives

Tahan, Tony Tannous; Gabardo, Betina Mendez Alcântara; Vilela, Carlos Ribeiro

doi:10.1016/j.jped.2019.11.002

“…Citation: Fida In this study, the TBM mortality rate was 26.3% because the delays in the diagnoses greatly increased the number of patients that died. Similar results were found in a Johannesburg study in which the authors reported an increasing in mortality rate (from 56.0% to 90.5%) when the treatment was delayed for longer than 24 hours [12,13,31]. Obviously, there is a need to fi nd ways to help provide an early diagnosis, especially in indigent settings [12].…”

Section: Discussionsupporting

confidence: 79%

“…Obviously, there is a need to fi nd ways to help provide an early diagnosis, especially in indigent settings [12]. The key strategy for reducing and preventing TB is the immediate and rapid recognition and remediation of TB patients, as well as patient education and vaccination [31].…”

Section: Discussionmentioning

confidence: 99%

Pulmonary and meningeal tuberculosis patterns in children at King Abdul-Aziz university hospital in Jeddah, Saudi Arabia: A retrospective study

Fida¹,

Farouq²,

Daghistani³

et al. 2020

Glob J Infect Dis Clin Res

1

0

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Background: Paediatric Tuberculosis (TB) is a signifi cant health problem worldwide, with the World Health Organization (WHO) reporting almost 550,000 children infected with TB yearly. Several factors have affected the TB infection rate in Saudi Arabia, including Hajj and Umrah (Islamic pilgrimages to Mecca), travel, global migration, indigence, inaccessible healthcare services and drug resistance. Objectives: This retrospective study aimed to describe the patterns of pulmonary TB (PTB) and tuberculous meningitis (TBM) among children admitted to the

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“…According to the World Health Organization (WHO) report, there were 10 million new cases of PTB disease and 1.5 million deaths worldwide in 2017 (WHO, 2018). It has been estimated that one third of the world's population are infected with Mtb as latent infections, among which 5 to 10% would develop into active tuberculosis (TB) [1,2]. Quick diagnostic and efficient treatment are of great importance to control the spread of PTB and reduce its mortality [3,4].…”

Section: Introductionmentioning

confidence: 99%

Gene network in pulmonary tuberculosis based on bioinformatic analysis

Li

¹

,

Lv

²

,

He

³

et al. 2020

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Background: Pulmonary tuberculosis (PTB) is one of the serious infectious diseases worldwide; however, the gene network involved in the host response remain largely unclear. Methods: This study integrated two cohorts profile datasets GSE34608 and GSE83456 to elucidate the potential gene network and signaling pathways in PTB. Differentially expressed genes (DEGs) were obtained for Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis using Metascape database. Protein-Protein Interaction (PPI) network of DEGs was constructed by the online database the Search Tool for the Retrieval of Interacting Genes (STRING). Modules were identified by the plug-in APP Molecular Complex Detection (MCODE) in Cytoscape. GO and KEGG pathway of Module 1 were further analyzed by STRING. Hub genes were selected for further expression validation in dataset GSE19439. The gene expression level was also investigated in the dataset GSE31348 to display the change pattern during the PTB treatment. Results: Totally, 180 shared DEGs were identified from two datasets. Gene function and KEGG pathway enrichment revealed that DEGs mainly enriched in defense response to other organism, response to bacterium, myeloid leukocyte activation, cytokine production, etc. Seven modules were clustered based on PPI network. Module 1 contained 35 genes related to cytokine associated functions, among which 14 genes, including chemokine receptors, interferon-induced proteins and Toll-like receptors, were identified as hub genes. Expression levels of the hub genes were validated with a third dataset GSE19439. The signature of this core gene network showed significant response to Mycobacterium tuberculosis (Mtb) infection, and correlated with the gene network pattern during anti-PTB therapy. Conclusions: Our study unveils the coordination of causal genes during PTB infection, and provides a promising gene panel for PTB diagnosis. As major regulators of the host immune response to Mtb infection, the 14 hub genes are also potential molecular targets for developing PTB drugs.

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“…Pulmonary tuberculosis (PTB) is one of the serious infectious disease that causes the most deaths in the world. It is estimated that one third of the world's population are infected with Mycobacterium tuberculosis (Mtb) as the latent infections, 5 to 10 percent of the patients with latent infections developed into active tuberculosis (TB) [1,2]. According to the World Health Organization (WHO) report, there were 9 million new cases of PTB disease and 1.5 million deaths worldwide in 2013.…”

Section: Introductionmentioning

confidence: 99%

Gene network in pulmonary tuberculosis based on bioinformatic analysis

Li

¹

,

Lyu

²

,

He

³

et al. 2020

Preprint

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Background: Pulmonary tuberculosis (PTB) is one of the serious infectious diseases worldwide; however, the gene network involved in the host response remain largely unclear. Methods: This study integrated two cohorts profile datasets GSE34608 and GSE83456 to elucidate the potential gene network and signaling pathways in PTB. Differentially expressed genes (DEGs) were obtained for Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis using Metascape database. Protein-Protein Interaction (PPI) network of DEGs was constructed by the online database the Search Tool for the Retrieval of Interacting Genes (STRING). Modules were identified by the plug-in APP Molecular Complex Detection (MCODE) in Cytoscape. GO and KEGG pathway of Module 1 were further analyzed by STRING. Hub genes were selected for further expression validation in dataset GSE19439. The gene expression level was also investigated in the dataset GSE31348 to display the change pattern during the PTB treatment. Results: Totally, 180 shared DEGs were identified from two datasets. Gene function and KEGG pathway enrichment revealed that DEGs mainly enriched in defense response to other organism, response to bacterium, myeloid leukocyte activation, cytokine production, etc. Seven modules were clustered based on PPI network. Module 1 contained 35 genes related to cytokine associated functions, among which 14 genes, including chemokine receptors, interferon-induced proteins and Toll-like receptors, were identified as hub genes. Expression levels of the hub genes were validated with a third dataset GSE19439. The signature of this core gene network showed significant response to Mycobacterium tuberculosis (Mtb) infection, and correlated with the gene network pattern during anti-PTB therapy. Conclusions: Our study unveils the coordination of causal genes during PTB infection, and provides a promising gene panel for PTB diagnosis. As major regulators of the host immune response to Mtb infection, the 14 hub genes are also potential molecular targets for developing PTB drugs.

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Tuberculosis in childhood and adolescence: a view from different perspectives

Cited by 22 publications

References 36 publications

Pulmonary and meningeal tuberculosis patterns in children at King Abdul-Aziz university hospital in Jeddah, Saudi Arabia: A retrospective study

Pulmonary and meningeal tuberculosis patterns in children at King Abdul-Aziz university hospital in Jeddah, Saudi Arabia: A retrospective study

Gene network in pulmonary tuberculosis based on bioinformatic analysis

Gene network in pulmonary tuberculosis based on bioinformatic analysis

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