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谷胱甘肽代谢途径基因在囊性纤维化中的遗传相互作用。

Genetic interaction of GSH metabolic pathway genes in cystic fibrosis.

机构信息

Department of Pediatrics, Faculdade de Ciências Médicas, Universidade Estadual de Campinas-Unicamp, 13081-970, PO Box: 6111, Campinas, SP, Brazil.

出版信息

BMC Med Genet. 2013 Jun 10;14:60. doi: 10.1186/1471-2350-14-60.

Abstract

BACKGROUND

Cystic fibrosis (CF) is a monogenic disease caused by CFTR gene mutations, with clinical expression similar to complex disease, influenced by genetic and environmental factors. Among the possible modifier genes, those associated to metabolic pathways of glutathione (GSH) have been considered as potential modulators of CF clinical severity. In this way it is of pivotal importance investigate gene polymorphisms at Glutamate-Cysteine Ligase, Catalytic Subunit (GCLC), Glutathione S-transferase Mu 1 (GSTM1), Glutathione S-transferase Theta 1 (GSTT1), and Glutathione S-transferase P1 (GSTP1), which have been associated to the GSH metabolic pathway and CF clinical severity.

METHOD

A total of 180 CF's patients were included in this study, which investigated polymorphisms in GCLC and GST genes (GCLC -129C>T and -3506A>G; GSTM1 and GSTT1 genes deletion, and GSTP1*+313A>G) by PCR and PCR-RFLP associating to clinical variables of CF severity, including variables of sex, clinical scores [Shwachman-Kulczycki, Kanga e Bhalla (BS)], body mass index, patient age, age for diagnosis, first clinical symptoms, first colonization by Pseudomonas aeruginosa, sputum's microorganisms, hemoglobin oxygen saturation in the blood, spirometry and comorbidities. The CFTR genotype was investigated in all patients, and the genetic interaction was performed using MDR2.0 and MDRPT0.4.7 software.

RESULTS

The analysis of multiple genes in metabolic pathways in diseases with variable clinical expression, as CF disease, enables understanding of phenotypic diversity. Our data show evidence of interaction between the GSTM1 and GSTT1 genes deletion, and GSTP1*+313A>G polymorphism with CFTR gene mutation classes, and BS (Balance testing accuracy=0.6824, p=0.008), which measures the commitment of bronchopulmonary segments by tomography.

CONCLUSION

Polymorphisms in genes associated with metabolism of GSH act on the CF's severity.

摘要

背景

囊性纤维化(CF)是一种由 CFTR 基因突变引起的单基因疾病,其临床表现类似于复杂疾病,受遗传和环境因素的影响。在可能的修饰基因中,那些与谷胱甘肽(GSH)代谢途径相关的基因被认为是 CF 临床严重程度的潜在调节剂。因此,研究谷氨酸-半胱氨酸连接酶催化亚基(GCLC)、谷胱甘肽 S-转移酶 Mu1(GSTM1)、谷胱甘肽 S-转移酶Theta1(GSTT1)和谷胱甘肽 S-转移酶 P1(GSTP1)基因的多态性至关重要,这些基因与 GSH 代谢途径和 CF 临床严重程度有关。

方法

本研究共纳入 180 例 CF 患者,通过 PCR 和 PCR-RFLP 方法检测 GCLC 和 GST 基因(GCLC-129C>T 和-3506A>G;GSTM1 和 GSTT1 基因缺失以及 GSTP1*+313A>G)的多态性,并将其与 CF 严重程度的临床变量(包括性别、临床评分[Shwachman-Kulczycki、Kanga 和 Bhalla(BS)]、体重指数、患者年龄、诊断年龄、首发临床症状、首次铜绿假单胞菌定植、痰液微生物、血氧饱和度、肺功能检查和合并症)相关联。所有患者均进行 CFTR 基因型检测,并使用 MDR2.0 和 MDRPT0.4.7 软件进行遗传交互作用分析。

结果

对具有不同临床表型的疾病(如 CF 疾病)中代谢途径的多个基因进行分析,有助于理解表型多样性。我们的数据表明,GSTM1 和 GSTT1 基因缺失与 GSTP1*+313A>G 多态性与 CFTR 基因突变类型之间存在交互作用,并且与 BS(平衡测试准确性=0.6824,p=0.008)相关,BS 用于评估通过 CT 扫描评估支气管肺段的病变程度。

结论

与 GSH 代谢相关的基因多态性影响 CF 的严重程度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeaf/3685592/43f8b593b97e/1471-2350-14-60-1.jpg

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