实时聚合酶链式反应分析黑色素皮质素3(MC3R)基因表达,以确定结核病炎症的新生物标志物。

Andi Tenriola, Najdah Hidayah, Subair, Muhammad Nasrum Massi, Handayani Halik, Tri Damayanti, Jafriati, Andi Tenri Ola Rivai
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引用次数: 0

摘要

背景:在技术成熟的时代,结核病的诊断需要准确性和速度,以提供尽可能多的信息,从而快速准确地进行结核病治疗。诊断结核病的新研究也开始进行,其中之一是通过检查基因,通过观察多态性、突变或表达。先前的几项研究证实了MC3R和TB基因与多态性的相关性;MC3R是一种参与炎症过程调控的基因,也存在于巨噬细胞中;因此,我们试图分析活动性结核病组、家庭接触者和健康对照的基因表达,以观察三组之间的差异,并通过观察三组中哪一组的基因表达增加最多来确认MC3R与结核病的相关性,从而将其结果视为未来结核病诊断的生物标志物。方法:本研究包括122人、49名确诊结核病患者、46名患者的近亲属和27名健康对照。本研究采用实时PCR技术分析了三组患者MC3R基因的表达,并使用Bio-Rad CFXTM软件3.1版和SPSS 21.0单因素方差分析对所有数据进行了分析 = 0.143),健康对照组基因表达增加1.09倍(p = 0.007)。结论:根据基因表达分析结果,MC3R与结核病之间存在关系,与家庭接触组和健康对照组相比,活动性结核病组的MC3R增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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

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 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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