Literature DB >> 31141056

Evaluation of the transcriptional immune biomarkers in peripheral blood from Warao indigenous associate with the infection by Mycobacterium tuberculosis.

Zaida Araujo1, Andrea Palacios1, Leonor Enciso-Moreno2, Juan Ernesto Lopez-Ramos2,3, Albina Wide4, Jacobus Henri de Waard5, Bruno Rivas-Santiago2, Carmen Judith Serrano2, Yadira Bastian-Hernandez2,6, Julio Enrique Castañeda-Delgado2,6, Jose Antonio Enciso-Moreno2.   

Abstract

INTRODUCTION: Biomarkers are critical tools for finding new approaches for controlling the spread of tuberculosis (TB), including for predicting the development of TB therapeutics, vaccines, and diagnostic tools.
METHODS: Expression of immune biomarkers was analyzed in peripheral blood cells stimulated and non-stimulated with M. tuberculosis antigens ESAT-6, CFP10 and TB7.7. in Warao indigenous individuals. These biomarkers may be able to differentiate TB states, such as active tuberculosis (ATB) cases and latent tuberculosis infection (LTBI) from non-infected controls (NIC). A real-time reverse transcription polymerase chain reaction (RT-qPCR) assay was performed on 100 blood samples under non-stimulation or direct ex vivo conditions (NS=50) and stimulation conditions (S=50).
RESULTS: The findings are shown as the median and interquartile range (IQR) of relative gene expression levels of IFN-γ, CD14, MMP9, CCR5, CCL11, CXCL9/MIG, and uPAR/PLAUR immune biomarkers. MMP9 levels were significantly higher in the LTBI-NS and LTBI-S groups compared with the NIC-NS and NIC-S groups. However, CCR5 levels were significantly lower in the LTBI-S group compared with both NIC-NS and NIC-S groups. CCL11 levels were significantly lower in the LTBI-S group compared with the NIC-NS group.
CONCLUSIONS: Preliminary findings showed that MMP9 immune biomarkers separated LTBI indigenous individuals from NIC indigenous individuals, while CCR5, CCL11, CD14, and IFN-γ did not differentiate TB states from NIC. MMP9 may be useful as a potential biomarker for LTBI and new infected case detection among Warao indigenous individuals at high risk of developing the disease. It may also be used to halt the epidemic, which will require further validation in larger studies.

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Year:  2019        PMID: 31141056     DOI: 10.1590/0037-8682-0516-2018

Source DB:  PubMed          Journal:  Rev Soc Bras Med Trop        ISSN: 0037-8682            Impact factor:   1.581


  2 in total

1.  Screening of potential biomarkers for distinguishing between latent and active tuberculosis in children using bioinformatics analysis.

Authors:  Meng Shao; Fang Wu; Jie Zhang; Jiangtao Dong; Hui Zhang; Xiaoling Liu; Su Liang; Jiangdong Wu; Le Zhang; Chunjun Zhang; Wanjiang Zhang
Journal:  Medicine (Baltimore)       Date:  2021-02-05       Impact factor: 1.817

2.  Diagnostic Potential of the Serological Response to Synthetic Peptides from Mycobacterium tuberculosis Antigens for Discrimination Between Active and Latent Tuberculosis Infections.

Authors:  Zaida Araujo; Jacobus H de Waard; Milena Camargo; Juan Ernesto Lopez-Ramos; Carlos Fernández de Larrea; Magnolia Vanegas; Manuel A Patarroyo
Journal:  Int J Pept Res Ther       Date:  2022-05-03       Impact factor: 2.191

  2 in total

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