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Analysis of real-time PCR Melanocortin 3 (MC3R) gene expression to identify new biomarkers inflammation in tuberculosis

BACKGROUND: Diagnosis of tuberculosis (TB) in the era of technological sophistication requires accuracy and speed to provide as much information as possible so that TB treatment can be carried out quickly and precisely. New studies have also begun to be carried out to diagnose TB, one of which is by...

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Autores principales: Tenriola, Andi, Hidayah, Najdah, Subair, Massi, Muhammad Nasrum, Halik, Handayani, Damayanti, Tri, Jafriati, Rivai, Andi Tenri Ola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294815/
https://www.ncbi.nlm.nih.gov/pubmed/37521838
http://dx.doi.org/10.1186/s43042-022-00323-8
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author Tenriola, Andi
Hidayah, Najdah
Subair
Massi, Muhammad Nasrum
Halik, Handayani
Damayanti, Tri
Jafriati
Rivai, Andi Tenri Ola
author_facet Tenriola, Andi
Hidayah, Najdah
Subair
Massi, Muhammad Nasrum
Halik, Handayani
Damayanti, Tri
Jafriati
Rivai, Andi Tenri Ola
author_sort Tenriola, Andi
collection PubMed
description BACKGROUND: Diagnosis of tuberculosis (TB) in the era of technological sophistication requires accuracy and speed to provide as much information as possible so that TB treatment can be carried out quickly and precisely. New studies have also begun to be carried out to diagnose TB, one of which is by examining genes, either by looking at polymorphisms, mutations, or expressions. Several previous studies have confirmed the association of MC3R and TB genes with polymorphisms; MC3R is a gene that participates in the regulation of the inflammatory process and is also found in macrophages; therefore, we tried to analyze gene expression in the active TB group, household contacts, and healthy controls for looked at the differences between the three groups and confirmed the correlation of MC3R with TB by seeing which group's gene expression increased the most expression of the three groups so that the results can be considered as a TB diagnostic biomarker in the future. METHODS: This study included 122 people, 49 patients with confirmed TB, 46 close relatives of patients, and 27 healthy controls. This study used a real-time PCR technique to analyze MC3R gene expression in the three groups, and all data were analyzed using Bio-Rad CFXTM software version 3.1 and one-way ANOVA using SPSS 21.0. RESULTS: The value of MC3R gene expression in the active TB group increased 3.6-fold in the healthy group (p = 0.143), and that of gene expression in the healthy control group increased 1.09-fold in the healthy group (p = 0.007). CONCLUSION: There is a relationship between MC3R and TB based on the results of gene expression analysis that increased in the active TB group compared to the household contact group and healthy controls.
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spelling pubmed-92948152022-07-19 Analysis of real-time PCR Melanocortin 3 (MC3R) gene expression to identify new biomarkers inflammation in tuberculosis Tenriola, Andi Hidayah, Najdah Subair Massi, Muhammad Nasrum Halik, Handayani Damayanti, Tri Jafriati Rivai, Andi Tenri Ola Egypt J Med Hum Genet Research BACKGROUND: Diagnosis of tuberculosis (TB) in the era of technological sophistication requires accuracy and speed to provide as much information as possible so that TB treatment can be carried out quickly and precisely. New studies have also begun to be carried out to diagnose TB, one of which is by examining genes, either by looking at polymorphisms, mutations, or expressions. Several previous studies have confirmed the association of MC3R and TB genes with polymorphisms; MC3R is a gene that participates in the regulation of the inflammatory process and is also found in macrophages; therefore, we tried to analyze gene expression in the active TB group, household contacts, and healthy controls for looked at the differences between the three groups and confirmed the correlation of MC3R with TB by seeing which group's gene expression increased the most expression of the three groups so that the results can be considered as a TB diagnostic biomarker in the future. METHODS: This study included 122 people, 49 patients with confirmed TB, 46 close relatives of patients, and 27 healthy controls. This study used a real-time PCR technique to analyze MC3R gene expression in the three groups, and all data were analyzed using Bio-Rad CFXTM software version 3.1 and one-way ANOVA using SPSS 21.0. RESULTS: The value of MC3R gene expression in the active TB group increased 3.6-fold in the healthy group (p = 0.143), and that of gene expression in the healthy control group increased 1.09-fold in the healthy group (p = 0.007). CONCLUSION: There is a relationship between MC3R and TB based on the results of gene expression analysis that increased in the active TB group compared to the household contact group and healthy controls. Springer Berlin Heidelberg 2022-07-18 2022 /pmc/articles/PMC9294815/ /pubmed/37521838 http://dx.doi.org/10.1186/s43042-022-00323-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Tenriola, Andi
Hidayah, Najdah
Subair
Massi, Muhammad Nasrum
Halik, Handayani
Damayanti, Tri
Jafriati
Rivai, Andi Tenri Ola
Analysis of real-time PCR Melanocortin 3 (MC3R) gene expression to identify new biomarkers inflammation in tuberculosis
title Analysis of real-time PCR Melanocortin 3 (MC3R) gene expression to identify new biomarkers inflammation in tuberculosis
title_full Analysis of real-time PCR Melanocortin 3 (MC3R) gene expression to identify new biomarkers inflammation in tuberculosis
title_fullStr Analysis of real-time PCR Melanocortin 3 (MC3R) gene expression to identify new biomarkers inflammation in tuberculosis
title_full_unstemmed Analysis of real-time PCR Melanocortin 3 (MC3R) gene expression to identify new biomarkers inflammation in tuberculosis
title_short Analysis of real-time PCR Melanocortin 3 (MC3R) gene expression to identify new biomarkers inflammation in tuberculosis
title_sort analysis of real-time pcr melanocortin 3 (mc3r) gene expression to identify new biomarkers inflammation in tuberculosis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294815/
https://www.ncbi.nlm.nih.gov/pubmed/37521838
http://dx.doi.org/10.1186/s43042-022-00323-8
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