A comparison of gene expression profiles in patients with coronary artery disease, type 2 diabetes, and their coexisting conditions

Gong, Rui; Chen, Menghui; Zhang, Cuizhao; Chen, Manli; Li, Haibin

doi:10.1186/s13000-017-0630-7

Cited by 17 publications

(10 citation statements)

References 56 publications

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“…Similar to cancer, complex diseases like CAD also exhibited clinical heterogeneity. Unlike previous studies (Gong, Chen, Zhang, Chen, & Li, 2017;Shi, Yang, Luo, Zhang, & Ke, 2017;Smékal et al, 2017) that only compared gene expression profiles of CAD cases with profiles of normal controls, we further classified CAD cases into subgroups, and revealed that subjects from different subgroups exhibited different clinical characteristics. For example, subjects in subgroup I tended to be older and had a more serious condition.…”

Section: Discussionmentioning

confidence: 99%

Identification of the molecular subgroups in coronary artery disease by gene expression profiles

Peng

Wang

et al. 2019

Journal Cellular Physiology

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Coronary artery disease (CAD) is the most common type of cardiovascular disease and becomes a leading cause of death worldwide. Aiming to uncover the underlying molecular features for different types of CAD, we classified 352 CAD cases into three subgroups based on gene expression profiles, which were retrieved from the Gene Expression Omnibus database. Also, these subgroups present different expression patterns and clinical characteristics. To uncover the transcriptomic differences between the subgroups, weighted gene co‐expression analysis (WGCNA) was used and identified six subgroup‐specific WGCNA modules. Characterization of the WCGNA modules revealed that lipid metabolism pathways, specifically upregulated in subgroup I, might be an indicator of increased severity. Moreover, subgroup II was considered as an early‐stage of CAD because of normal‐like gene expression patterns. In contrast, the mammalian target of rapamycin signaling pathway was significantly upregulated in subgroup III. Although subgroups II and III did not have a significant prognostic difference, their intrinsic biological characteristics were highly different, suggesting that the transcriptome classification may represent risk factors of both age and the intrinsic biological characteristics. In conclusion, the transcriptome classification of CAD cases revealed that cases from different subgroups may have their unique gene expression patterns, indicating that patients in each subgroup should receive more personalized treatment.

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Section: Discussionmentioning

confidence: 99%

Identification of the molecular subgroups in coronary artery disease by gene expression profiles

Peng

Wang

et al. 2019

Journal Cellular Physiology

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“…Our study found TCF7L2 gene expression to be lowered in lesional compared to non-lesional skin, with no significant difference in healthy controls. TCF7L2 has to our knowledge not been studied in patients with psoriasis before, but TCF7L2 has previously been connected to known comorbidities of psoriasis such as dyslipidemia, metabolic syndrome, Crohn’s disease and type 2 diabetes [19, 30, 41]. In Crohn’s disease, TCF7L2 gene is associated with decreased antimicrobial function of the Paneth cell where a diminished expression of TCF7L2 mediates a defective differentiation.…”

Section: Discussionmentioning

confidence: 99%

“…Two reports describe increased expression of WNT5A mRNA and protein in lesional skin of patients with psoriasis [22, 43], and interestingly, recent data suggest WNT5a to be a link between psoriasis, obesity and metabolic complications [17, 33]. The transcription factor 7-like 2 (TCF7L2) gene encodes a transcription factor involved in the WNT signaling pathway, and numerous studies show a correlation between TCF7L2 single nucleotide polymorphisms (SNPs) and dyslipidemia, metabolic syndrome and type 2 diabetes, [19, 41] which are known associated diseases of psoriasis [20].…”

Section: Introductionmentioning

confidence: 99%

Narrowband UVB treatment induces expression of WNT7B, WNT10B and TCF7L2 in psoriasis skin

et al. 2019

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WNT/β-catenin signaling pathways play a pivotal role in the human immune defense against infections and in chronic inflammatory conditions as psoriasis. Wnt gene alterations are linked to known comorbidities of psoriasis as obesity, diabetes and Crohn’s disease. The objective of this study was to investigate WNT7B, WNT10B, WNT16 and TCF7L2 gene and protein expression in lesional and non-lesional skin and in the peripheral blood of patients with chronic plaque psoriasis compared with healthy individuals. To investigate the effect of narrowband UVB radiation, expression of these genes were analyzed before and after narrowband UVB treatment. Associations between single nucleotide polymorphisms for WNT7B, WNT10B, WNT16 and TCF7L2 genes and psoriasis were tested. Our results show significantly decreased WNT7B, WNT10B and TCF7L2 gene expression in lesional skin compared with non-lesional skin and healthy controls. Narrowband UVB treatment significantly increased expression of these genes in lesional skin. Immunohistochemistry shows increased WNT16 expression in lesional skin. No significant differences in allele or genotype frequencies for Wnt or TCF7L2 gene polymorphisms were found between patient and control group. This study shows for the first time significant UVB induced upregulation of WNT7B, WNT10B and TCF7L2 in patients with psoriasis and suggests a potential role of these genes in psoriasis pathogenesis. Electronic supplementary material The online version of this article (10.1007/s00403-019-01931-y) contains supplementary material, which is available to authorized users.

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“…These changes may in turn manifest as alterations of dietary metabolism. It is noteworthy that increases in MAIT cells are associated with Juvenile Type 1 Diabetes and polymorphisms in KLRB1 have been associated with ischemic heart disease (Makeeva et al 2015), and differential transcription of KLRB1 has been reported in DM2 and coronary artery disease (Gong et al 2017). Furthermore, another gene, GRIN2A, that is part of the family of genes {GRIN1, GRIN2A, GRIN2B, GRIN2C, GRIN2D, GRIN3A, and GRIN3B}, which encode proteins that form a receptor in charge of sending chemical messages between neurons in the brain, was found to be associated to obesity in adult women defined as metabolically healthy in ).…”

Section: Gwas Of Healthy Nevada Bmi and Obesitymentioning

confidence: 99%

A Comprehensive Genome-Wide and Phenome-Wide Examination of BMI and Obesity in a Northern Nevadan Cohort

Schlauch

Read

Lombardi

et al. 2020

G3 Genes|Genomes|Genetics

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The aggregation of Electronic Health Records (EHR) and personalized genetics leads to powerful discoveries relevant to population health. Here we perform genome-wide association studies (GWAS) and accompanying phenome-wide association studies (PheWAS) to validate phenotype-genotype associations of BMI, and to a greater extent, severe Class 2 obesity, using comprehensive diagnostic and clinical data from the EHR database of our cohort. Three GWASs of 500,000 variants on the Illumina platform of 6,645 Healthy Nevada participants identified several published and novel variants that affect BMI and obesity. Each GWAS was followed with two independent PheWASs to examine associations between extensive phenotypes (incidence of diagnoses, condition, or disease), significant SNPs, BMI, and incidence of extreme obesity. The first GWAS examines associations with BMI in a cohort with no type 2 diabetics, focusing exclusively on BMI. The second GWAS examines associations with BMI in a cohort that includes type 2 diabetics. In the second GWAS, type 2 diabetes is a comorbidity, and thus becomes a covariate in the statistical model. The intersection of significant variants of these two studies is surprising. The third GWAS is a case vs. control study, with cases defined as extremely obese (Class 2 or 3 obesity), and controls defined as participants with BMI between 18.5 and 25. This last GWAS identifies strong associations with extreme obesity, including established variants in the FTO and NEGR1 genes, as well as loci not yet linked to obesity. The PheWASs validate published associations between BMI and extreme obesity and incidence of specific diagnoses and conditions, yet also highlight novel links. This study emphasizes the importance of our extensive longitudinal EHR database to validate known associations and identify putative novel links with BMI and obesity.

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A comparison of gene expression profiles in patients with coronary artery disease, type 2 diabetes, and their coexisting conditions

Cited by 17 publications

References 56 publications

Identification of the molecular subgroups in coronary artery disease by gene expression profiles

Identification of the molecular subgroups in coronary artery disease by gene expression profiles

Narrowband UVB treatment induces expression of WNT7B, WNT10B and TCF7L2 in psoriasis skin

A Comprehensive Genome-Wide and Phenome-Wide Examination of BMI and Obesity in a Northern Nevadan Cohort

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