Identification of copy number variation of CAPN10 in Thais with type 2 diabetes by multiplex PCR and denaturing high performance liquid chromatography (DHPLC)

Pyk2/MCU Pathway as a New Target for Reversing Atherosclerosis

Objective: Multiple mechanisms including vascular endothelial cell damage have a critical role in the formation and development of atherosclerosis (AS), but the specific molecular mechanisms are not exactly clarified. This study aims to determine the possible roles of proline-rich tyrosine kinase 2 (Pyk2)/mitochondrial calcium uniporter (MCU) pathway in AS mouse model and H₂O₂-induced endothelial cell damage model and explore its possible mechanisms.

Approach and Results: The AS mouse model was established using apolipoprotein E-knockout (ApoE^–/–) mice that were fed with a high-fat diet. It was very interesting to find that Pyk2/MCU expression was significantly increased in the artery wall of atherosclerotic mice and human umbilical vein endothelial cells (HUVECs) attacked by hydrogen peroxide (H₂O₂). In addition, down-regulation of Pyk2 by short hairpin RNA (shRNA) protected HUVECs from H₂O₂ insult. Furthermore, treatment with rosuvastatin on AS mouse model and H₂O₂-induced HUVEC injury model showed a protective effect against AS by inhibiting the Pyk2/MCU pathway, which maintained calcium balance, prevented the mitochondrial damage and reactive oxygen species production, and eventually inhibited cell apoptosis.

Conclusion: Our results provide important insight into the initiation of the Pyk2/MCU pathway involved in AS-related endothelial cell damage, which may be a new promising target for atherosclerosis intervention.

Association analysis of copy number variations in type 2 diabetes-related susceptible genes in a Chinese population

AIMS

Copy number variations (CNVs) have been implicated as an important genetic marker of common disease. In this study, we explored genetic effects of common CNVs in Type 2 diabetes (T2D) related susceptible genes in Chinese population.

METHODS

Seven common CNV loci were selected from genes enclosing the susceptible single nucleotide polymorphisms (SNPs) of T2D confirmed by genome-wide association studies (GWAS) and replication studies conducted in east Asia population. The CNVs and SNPs were genotyped in 504 T2D patients and 494 non-T2D controls. Cumulative effect of the positive CNV loci was measured using genetic risk score (GRS). Multiplicative and additive interaction between candidate CNV loci and SNPs were assessed.

RESULTS

Compared with the common two copies, the deletion of nsv6360 (adjusted OR = 2.28, 95% CI 1.37-3.78, P = 0.001), nsv8414 (adjusted OR = 1.89, 95% CI 1.16-3.08, P = 0.006) and nsv1898 (adjusted OR = 1.84, 95% CI 1.19-2.84, P = 0.005) were significantly associated with increased risk of T2D (P < 0.007). Significant dose-response relationship was observed between GRS and the risk of T2D (χ² for trend = 19.51, P < 0.001). In addition, significant additive interactions between nsv8414 and rs17584499 in PTPRD (AP = 0.60, 95% CI 0.12-1.07) and nsv1898 and rs16955379 in CMIP (AP = 0.46, 95% CI 0.01-0.91) were observed.

CONCLUSIONS

There were three CNV loci (nsv6360, nsv8414 and nsv1898) associated with T2D, and a significant cumulative effect of these loci on the risk of T2D. The comprehensive effects of both CNVs and SNPs may provide a more useful tool for the identification of genetic susceptibility for T2D.

Divergent patterns of genic copy number variation in KCNIP1 gene reveal risk locus of type 2 diabetes in Chinese population

Copy number variation (CNV) has emerged as another important genetic marker in addition to SNP for understanding etiology of complex disease. Kv channel interacting protein 1 (KCNIP1) is a Ca²⁺-dependent transcriptional modulator that contributes to the regulation of insulin secretion. Previous genome-wide CNV assay identified the KCNIP1 gene encompassing a CNV region, however, its further effect and risk rate on type 2 diabetes (T2D) have rarely been addressed, especially in Chinese population. The current study aims to detect and excavate genetic distribution profile of KCNIP1 CNV in Chinese T2D and control populations, and further to investigate the associations with clinical characteristics. Divergent patterns of the KCNIP1 CNV were identified (p < 0.01), in which the copy number gain was predominant in T2D, while the copy number normal accounted for the most in control group. Consistently, the individuals with copy number gain showed significant risk on T2D (OR = 4.550, p < 0.01). The KCNIP1 copy numbers presented significantly positive correlations with fasting plasma glucose and glycated hemoglobin in T2D. For OGTT test, the T2D patients with copy number gain had remarkably elevated glucose contents (60, 120, 180-min, p < 0.05 or p < 0.01) and diminished insulin levels (60, 120-min, p < 0.05) than those with copy number loss and normal, which suggested that the KCNIP1 CNV was correlated with the glucose and insulin action. This is the first CNV association study of the KCNIP1 gene in Chinese population, and these data indicated that KCNIP1 might function as a T2D-susceptibility gene whose dysregulation alters insulin production.

Detection of CAPN10 copy number variation in Thai patients with type 2 diabetes by denaturing high performance liquid chromatography and real-time quantitative polymerase chain reaction

Aims/Introduction

A combination of multiple genetic and environmental factors contribute to the pathogenesis of type 2 diabetes. Copy number variations (CNVs) are associated with complex human diseases. However, CNVs can cause genotype deviation from the Hardy–Weinberg equilibrium (HWE). A genetic case–control association study in 216 Thai diabetic patients and 192 non-diabetic controls found that, after excluding genotyping errors, genotype distribution of calpain 10 (CAPN10) SNP44 (rs2975760) deviated from HWE. Here, we aimed to detect CNV within the CAPN10 SNP44 region.

Materials and Methods

CNV within the CAPN10 SNP44 region was detected using denaturing high-performance liquid chromatography, and the results confirmed by real-time quantitative polymerase chain reaction with SYBR Green I.

Results

Both methods successfully identified CNV in the CAPN10 SNP44 region, obtaining concordant results. Correction of genotype calling based on the status of identified CNVs showed that the CAPN10 SNP44 genotype is in good agreement with HWE (P > 0.05). However, no association between CNV genotypes and risk of type 2 diabetes was observed.

Conclusions

Identified CNVs for CAPN10 SNP44 genotypes lead to deviation from HWE. Furthermore, both denaturing high-performance liquid chromatography and real-time quantitative polymerase chain reaction are useful for detecting CNVs.

CAPN10 SNP43 G>A gene polymorphism and type 2 diabetes mellitus in the Asian population: a meta-analysis of 9353 participants

A correlation between the single nucleotide polymorphism (SNP)43 G>A in the calpain-10 (CAPN10) gene (i.e., CAPN10 SNP43) and type 2 diabetes mellitus (T2DM) susceptibility has been suggested, but the evidence for such a relationship remains controversial. To explore the association of the CAPN10 SNP43 with T2DM in Asian populations, a meta-analysis including 9,353 participants from 20 individual studies in Asian populations was conducted. The pooled odds ratios (ORs) and their corresponding 95% confidence intervals (95% CIs) were evaluated by a fixed-effect model or random-effect model. The relationship between CAPN10 SNP43 and T2DM was significant under allelic (OR: 1.18, 95% CI: 1.01-1.38, P = 0.03), recessive (OR: 1.236, 95% CI: 1.038-1.472, P =0.017), heterozygous (OR: 1.261, 95% CI: 1.053-1.512, P = 0.012), and additive (OR: 1.183, 95% CI: 1.014-1.381, P = 0.033) genetic models but not under dominant (OR: 1.12, 95% CI: 0.78-1.62, P = 0.53) or homozygous (OR: 0.937, 95% CI: 0.648-1.355, P = 0.730) genetic models. CAPN10 SNP43 was significantly associated with T2DM susceptibility in Asian populations, especially in Chinese populations. Asians, particularly Chinese people with the SNP43 G allele of the CAPN10 gene may have an increased risk of developing T2DM.