Literature DB >> 26580301

Altered expression of lysosomal hydrolase, acid α-glucosidase, gene in coronary artery disease.

Jingyi Zhang1, Ling Ma, Junping Zhang, Jian Huang, Guanghe Wei, Lixin Liu, Jinguo Zhang, Bo Yan.   

Abstract

BACKGROUND: Coronary artery disease (CAD) is a common complex disease caused by atherosclerosis. Autophagy is a cellular degradation process that delivers long-lived macromolecules and dysfunctional organelles into lysosomes for digestion. Autophagy regulates lipid and cholesterol metabolism. We have previously shown that expression of autophagic and lysosomal genes is altered in CAD patients. In this study, we investigated gene expression of a lysosomal hydrolase, acid α-glucosidase (GAA), in CAD patients and controls.
METHODS: GAA gene expression was examined in large cohorts of CAD patients (n=248) and ethnically matched controls (n=208). GAA enzymatic activity, protein levels, and transcript levels were determined and compared between CAD patients and controls.
RESULTS: GAA activities in CAD patients were significantly elevated (P<0.05) compared with controls. Consistently, GAA transcription levels were also significantly increased in CAD patients (P<0.01). Multivariate logistic regression analyses (GAA transcript level, hypertension, diabetes, and smoking) revealed that GAA transcript levels were strongly associated with CAD (odds ratio 5.93, 95% confidence interval 2.98-11.78, P=3.89×10(-7)). GAA protein levels were insignificantly increased in CAD patients (P>0.05), likely due to assay insensitivity.
CONCLUSION: Compared with controls, GAA gene expression levels in CAD patients were significantly increased, suggesting that GAA may be involved in the CAD development.

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Year:  2016        PMID: 26580301     DOI: 10.1097/MCA.0000000000000322

Source DB:  PubMed          Journal:  Coron Artery Dis        ISSN: 0954-6928            Impact factor:   1.439


  2 in total

1.  Identification of susceptibility loci for cardiovascular disease in adults with hypertension, diabetes, and dyslipidemia.

Authors:  Youhyun Song; Ja-Eun Choi; Yu-Jin Kwon; Hyuk-Jae Chang; Jung Oh Kim; Da-Hyun Park; Jae-Min Park; Seong-Jin Kim; Ji Won Lee; Kyung-Won Hong
Journal:  J Transl Med       Date:  2021-02-25       Impact factor: 5.531

2.  Identification of key miRNAs and mRNAs related to coronary artery disease by meta-analysis.

Authors:  Long Liu; Jingze Zhang; Mei Wu; Haiming Xu
Journal:  BMC Cardiovasc Disord       Date:  2021-09-16       Impact factor: 2.298

  2 in total

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