Recently, many studies have reported that the SNP+45(T>G) and SNP+276(G>T) polymorphisms in the adiponectin gene are associated with type 2 diabetes (T2DM) in the Chinese Han population. However, the previous studies yielded many conflicting results. Thus, a meta-analysis of the association of the adiponectin gene with T2DM in the Chinese Han population is required. In the current study, we first determined the distribution of the adiponectin SNP+276 polymorphism in T2DM and nondiabetes (NDM) control groups. Our results suggested that the genotype and allele frequencies for SNP+276 did not differ significantly between the T2DM and NDM groups. Then, a meta-analysis of 23 case-control studies of SNP+45, with a total of 4161 T2DM patients and 3709 controls, and 11 case-control studies of SNP+276, with 2533 T2DM patients and 2212 controls, was performed. All subjects were Han Chinese. The fixed-effects model and random-effects model were applied for dichotomous outcomes to combine the results of the included studies. The results revealed a trend towards an increased risk of T2DM for the SNP+45G allele as compared with the SNP+45T allele (OR = 1.34; 95% CI, 1.11–1.62; P<0.01) in the Chinese Han population. However, there was no association between SNP+276 and T2DM (OR = 0.90; 95% CI, 0.73–1.10; P = 0.31). The results of our association study showed there was no association between the adiponectin SNP+276 polymorphism and T2DM in the Yunnan Han population. The meta-analysis results suggested that the SNP+45G allele might be a susceptibility allele for T2DM in the Chinese Han population. However, we did not observe an association between SNP+276 and T2DM.
Several studies indicate that plasma adiponectin levels are associated with the risk of type 2 diabetes mellitus (T2DM) or T2DM risk factors in diverse populations. In addition to the adiponectin gene, several other genes have been postulated to influence plasma adiponectin levels. In this study, we investigated two single nucleotide polymorphisms (SNPs), rs4311394 and rs4783244, located intronically in the ADP-ribosylation factor-like protein 15 (ARL15) and the T-cadherin (CDH13) genes, respectively. These SNPs were detected in a Han Chinese population using a TaqMan assay and evaluated for association with T2DM as well as with individual metabolic traits. Allele frequencies for rs4311394 were significantly different in T2DM and nondiabetes (NDM) groups (χ² = 4.49, P = 0.034). However, neither allele nor genotype frequencies for rs4783244 were associated with T2DM (χ² = 0.33, P = 0.56 and χ² = 2.35, P = 0.31 respectively). The SNPs did not exhibit significant association with individual metabolic traits in the T2DM and NDM groups. Our results indicated that the G allele of the rs4311394 might be a susceptibility factor for T2DM in the Han Chinese population (odds ratio: 1.20; 95% confidence interval: 1.01-1.41).
Objective To assess the potential of intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI) in monitoring renal changes in a diabetic nephropathy (DN) rat model with acute kidney injury (CI-AKI) induced by iso-osmotic contrast media (IOCM) and low-osmotic contrast media (LOCM). Methods A diabetic nephropathy rat model was established, and the animals were randomly split into the LOCM group and IOCM group (n = 13 per group), with iopamidol and iodixanol injection, respectively (4 g iodine/kg). MRI including IVIM and DKI was performed 24 h before contrast medium injections (baseline) and 1, 24, 48, and 72 h after injections. Changes in pure molecular diffusion (D), pseudo-diffusion coefficient (D*), perfusion fraction (f), mean diffusion (MD), mean kurtosis (MK), serum creatinine (SCr) and urea nitrogen (BUN), histopathology alterations, and α-smooth muscle actin (α-SMA) expression were assessed. Inter-observer agreement was evaluated using the intraclass correlation coefficient (ICC). Results Compared against baseline levels, significant decreases in D, D*, and f were observed in all anatomical kidney compartments after contrast injection (p < 0.05). MD in the cortex (CO) and outer medullary (OM) gradually decreased, and MK in OM gradually increased 24–72 h after injection. D, D*, f, and MD were negatively correlated with the histopathologic findings and α-smooth muscle actin (α-SMA) expression in all anatomical kidney compartments. Inter-observer reproducibility was generally good (ICCs ranging from 0.776 to 0.979). Conclusions IVIM and DKI provided noninvasive imaging parameters, which might offer effective detection of CI-AKI in DN.
Background: Studies have revealed the association of glutathione S-transferases (GSTM1 and GSTT1) deletion (null) polymorphism with the risks of developing type 2 diabetes mellitus (T2DM) and its complications. The present study aimed to investigate the relationship between GSTT1/ GSTP1 gene polymorphisms and the risks of T2DM and diabetic retinopathy (DR) in a Chinese population.Methods: A total of 336 subjects with T2DM and a defined ophthalmologic status were recruited from the Second People’s Hospital of Yunnan Province between June 2014 and October 2016. Seventy-two age-matched healthy controls were also enrolled. Physical examinations and laboratory tests were performed. The frequencies of GSTT1 and GSTP1 genotypes in all participants were determined by PCR and PCR-restriction fragment length polymorphisms (PCR–RFLP), respectively.Results: Compared with healthy controls, the GSTT1-null genotype was significantly more common in diabetic patients with or without DR (all P < 0.05). However, the frequency of the GSTP1 genotype (AA, GA, GG) was comparable between the two groups. Furthermore, neither the GSTP1 nor GSTT1 genetic polymorphism was associated with the development of DR. In the present study, the risk of developing T2DM was significantly higher in subjects carrying the combined heterozygous GSTP1 (AG) and null GSTT1 genotypes (OR=0.40, 95% CI=0.21-0.74, P=0.02).Conclusions: The deletion of the GSTT1 genotype was associated with a higher risk of developing T2DM, whether alone or in combination with GSTP1, indicating that the null genotype of GSTT1 may serve as a potential biomarker for T2DM in the Chinese population, which is helpful for clinicians to make more effective risk-based decisions.
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