The single nucleotide polymorphism rs11643718 in SLC12A3 is associated with the development of diabetic kidney disease in Chinese people with type 2 diabetes

Diabetic kidney disease and polymorphisms of the ELMO1 and AGTR1 genes: Systematic review

BACKGROUND

Diabetic kidney disease (DKD) is one of the main complications of diabetes, the main cause of chronic kidney disease (CKD) and end-stage renal disease (ESRD) worldwide. The etiopathogenesis of DKD is complex and multifactorial; recently, genetic susceptibility has gained relevance since certain ethnicities, such as Native Americans and Mexican Americans, have a higher risk of developing this disease. Numerous studies have described that single nucleotide polymorphisms (SNPs), including those for ELMO1 and AGTR1 genes, could be associated with DKD.

OBJECTIVE

To carry out a systematic review of the scientific literature on the association of SNPs of the ELMO1 and AGTR1 gene with DKD in adult patients with type 2 diabetes mellitus (T2D).

METHODS

Systematic review in PubMed, Google Scholar, Worldwide Science, and Science Direct databases. The selection of publications was carried out following the guidelines proposed by PRISMA (Preferred Reporting Items for Systematic Reviews and Meta Analyses). Original articles that reported results in the adult population with T2D were included. Information about the allelic and genotypic frequencies of the SNPs and their association with DKD was obtained.

RESULTS

The polymorphisms most frequently associated with a DKD higher risk were rs741301, rs1345365, and rs10951509 for the ELMO1 gene, whereas the rs5186 and rs388915 for the AGTR1 gene.

CONCLUSION

The risk of developing DKD depends on several factors, including the genetic susceptibility conferred by the ELMO1 and AGTR1 gene polymorphisms, without ignoring the patient's lifestyle and environmental factors. The studies about these polymorphisms' association with DKD will allow a better understanding of non-modifiable risk factors for developing this disease and recognize the differences between different studied ethnicities, which would allow faster detection of patients with T2D susceptible to developing DKD, become early markers of kidney damage, as well as implementing preventive strategies on the most susceptible ethnicities.

Correlation between polymorphisms of SIRT2 gene and renal injury in patients with type 2 diabetes mellitus

OBJECTIVES

Genetic factors play an important role in the pathogenesis of diabetic kidney disease (DKD). Studies have shown that SIRT2 gene polymorphism is associated with the pathogenesis of type 2 diabetes mellitus (T2DM), but its role in DKD remains unclear. This study aims to analyze the distribution of alleles and genotypes of SIRT2 gene in patients with T2DM, and investigate the association between SIRT2 genetic polymorphism and DKD susceptibility in T2DM patients, which may provide new ideas for the pathogenesis of DKD.

METHODS

A toal of 205 T2DM patients who receiving treatment in the Third Xiangya Hospital of Central South University were divided into a DKD group (n=100) and a DM group (n=105) according to the presence of kidney injury, and 100 healthy volunteers were selected as NC group. Clinical data of the subjects were collected and estimated glomerular filtration rate (eGFR) were calculated. Genomic DNA was extracted and the genotypes of single nucleotide polymorphism (SNP) loci (rs11879029, rs11879010, and rs2241703) were determined using Sanger chain termination method. The genotype/allele frequencies among the 3 groups were compared. Logistic regression was used to analyze the correlation between SNP locus genotype of SIRT2 gene and risk of DKD in T2DM patients. According to the genotypes of rs11879029/rs11879010, T2DM patients were divided into a GG1/GG2 group, a GA1/GA2 group, and an AA1/AA2 group, and the clinical data were compared. Linkage disequilibrium analysis and haplotype analysis were performed.

RESULTS

The genotype distribution and allele frequencies of the rs11879029 and rs11879010 loci in the DKD group were significantly different in comparison with the NC and DM groups (all P<0.05). For rs2241703, there were no differences in genotype and allele frequencies (all P>0.05). After correcting by age, gender, systolic blood pressure, duration of diabetes, glycosylated hemoglobin, and serum albumin, rs11879029 and rs11879010 genotype were associated with DKD susceptibility in T2DM patients. Carriers of rs11879029 genotype AA were 6.27 times more likely to have DKD than carriers of genotype GG. And carriers of rs11879010 genotype AA were 4.72 times more likely to have DKD than carriers of genotype GG. The eGFR levels in the AA1/AA2 groups were significantly lower than those in the GG1/GG2 groups (both P<0.05). Analysis of linkage disequilibrium showed complete linkage disequilibrium existed between SIRT2 rs11879029 and rs11879010, and the 2 SNPs (rs11879029 and rs11879010) were in strong linkage disequilibrium with rs2241703. Monotype GGG reduced the risk of DKD in T2DM patients (OR=0.53, 95% CI 0.35 to 0.81, P=0.003), while haplotype AAG increased the risk of DKD in patients (OR=1.80, 95% CI 1.16 to 2.80, P=0.008).

CONCLUSIONS

The genetic polymorphisms rs11879029 and rs11879010 of SIRT2 gene are potential contributors to the susceptibility of DKD in patients with T2DM, and allele A significantly increases the risk of DKD compared with allele G. The AA genotype might be a genetic risk factor for DKD.

Association between ELMO1 gene polymorphisms and diabetic kidney disease: A systematic review and meta-analysis

BACKGROUND

Previous research has suggested that the ELMO1 gene may play a role in the development of diabetic kidney disease. Diabetic kidney disease (DKD) is a serious complication of diabetes and the leading cause of chronic kidney disease and end-stage renal disease (ESRD).

OBJECTIVE AND RATIONALE

This study aim was to systematically review and explore the association between ELMO1 gene polymorphisms and diabetic kidney disease. A comprehensive systematic review provides a clear conclusion and high-level evidence for the association between ELMO1 gene and DKD for future application in personalized medicine.

METHODS

A comprehensive search of electronic databases, per PRISMA instructions, was conducted in Scopus, EMBASE, Web of Science, and PubMed databases from 1980 to January 2023. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using appropriate models. Subgroup and sensitivity analyses were performed to explore potential sources of heterogeneity and assess the robustness of the findings.

RESULTS

A total of 5794 diabetes patients with DKD, 4886 diabetes patients without DKD, and 2023 healthy controls were included in the 17 studies that made up this systematic review. In the investigation of DM (Diabetes Mellitus) with DKD vs. DM without DKD, the susceptibility for DKD for the EMLO1 rs741301 polymorphism indicated a significant difference under the dominant, homozygote, and recessive genetic models. The susceptibility for DKD for the EMLO1 rs1345365, rs10255208, and rs7782979 polymorphisms demonstrated a significant difference under the allele genetic models in the analysis of DM with DKD vs. DM without DKD groups. There was a considerable increase in DKD risk in the Middle East when the population was stratified by the region.

CONCLUSION

The findings of the meta-analysis show that there are a significant connection between the EMLO1 rs741301 polymorphism and DKD susceptibility in overall analyses; as well as rs1345365, rs10255208, and rs7782979 polymorphisms; especially in the Middle East region.

Association of matrix metalloproteinase-2 gene variants with diabetic nephropathy risk

BACKGROUND

Diabetic nephropathy is a highly destructive microvascular complication of diabetes. Genetic predisposition is involved in the pathogenesis of diabetic nephropathy, with multiple allelic polymorphisms associated with the development and progression of the disease, thereby increasing the overall risk. To date, no study is available that shows the association of matrix metalloproteinase-2 (MMP-2) gene polymorphisms with diabetic nephropathy risk. Thus, we investigated the potential genetic influence of MMP-2 promoter variants in the development of diabetic nephropathy in type 2 diabetic patients.

METHODS

In total, 726 type 2 diabetic patients and 310 healthy controls were included in the study and genotyped for MMP-2, -1306C/T, -790T/G, -1575G/T and -735C/T by real-time PCR. The analysis of the outcomes was performed assuming three genetic models. The threshold for statistical significance was set at 0.05.

RESULTS

The results showed that the minor allele frequency of the -790T/G variant was significantly higher in patients with and without nephropathy compared to controls. Furthermore, the distribution analysis revealed a significant association of the -790T/G variant, in all genetic models, with increased risk of diabetic nephropathy that persisted after adjusting for key covariates. No significant associations between MMP-2, -1306C/T, -1575G/T, -735C/T and the risk of diabetic nephropathy were detected. Haplotype analysis identified two risk haplotypes GCGC and GTAC associated with diabetic nephropathy.

CONCLUSIONS

The present study is the first to demonstrate the allelic and genotypic association of the MMP-2-790T/G variant and two haplotypes with an increased risk of diabetic nephropathy in a Tunisian population with type 2 diabetes.

Recent Progress in Genetics and Epigenetics Research on Diabetic Nephropathy in Malaysia

Diabetic nephropathy is a multifactorial disease. Gene susceptibility, as well as environmental exposure, plays an important role in disease progression. Malaysia is reported to be among the world's second-fastest-growing rates of kidney failure. Diabetic nephropathy has become the main cause of end-stage renal disease in Malaysia. This article is aimed at reviewing genetic studies conducted among diabetic nephropathy patients in the Malaysian population. This review was conducted by searching PubMed, MEDLINE, and Google Scholar databases to identify all relevant papers published in English from March 2022 to April 2022, using the following keywords: diabetes, type 2 diabetes, diabetic nephropathy, diabetic kidney disease, and Malaysia. The case-control study among diabetic patients with and without diabetic nephropathy showed a significant association with diabetic nephropathy in CNDP1, NOS3, and MnSOD genes. In the ethnic subgroup analysis, significant differences for diabetic nephropathy in terms of diabetes duration (≥10 years) were observed for CCL2 rs3917887, CCR5 rs1799987, ELMO1 rs74130, and IL8 rs4073. The IL8 rs4073 was associated only with the Indians, while the CCR5 rs1799987 was associated with the Chinese. In Malays, SLC12A3 Arg913Gln polymorphism and ICAM1 K469E (A/G) polymorphism were found to be associated with diabetic nephropathy. Studies on gene-environment interactions have suggested significant genetic and environmental factors such as smoking, waist circumference, and sex for eNOS rs2070744, PPARGC1A rs8192678, KCNQ1 rs2237895, and KCNQ1 rs2283228 with kidney disease. The genetic variants' contributions differed across ethnic groups. Therefore, a study to validate the genetic variants that are found to be associated with different ethnicities in Malaysia may be important in future studies.

Coronavirus disease 2019 and the pancreas

Coronavirus disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has led to a world-wide pandemic since its onset in December of 2019. Although, a primary respiratory pathogen, over the ensuing period, its extra-pulmonary effects have come to the forefront. The virus, having multi-organ tropism, has been shown to affect a host of other organs beyond the lung, including the pancreas. The data on pancreatic involvement by COVID-19, however, have been limited. Moreover, whether the effects on the pancreas are due to the direct effects of the virus or is just an epi-phenomenon is debatable. The prevalence of pancreatic injury and degree of injury are the other issues that need to be addressed. Pancreatic cancer has a dismal prognosis and the management of the same in the COVID era needs to be tailored assessing the risk-benefit ratio for the same. Additionally, pancreatic surgery increases not only the morbidity of the patient, but also the risk of the operator and burden on the health care system. Hence, the decision for such major procedures needs to be rationalized for optimum benefit during this pandemic. Similarly, for the endoscopist, pancreatic endoscopy needs to be carefully regulated to reduce risk to both the patient and the physician and yet deliver optimum patient care. This review gives a concise summary of various aspects of pancreatic involvement and pancreatic disease management during this pandemic.

The single nucleotide polymorphism rs11643718 in SLC12A3 is associated with the development of diabetic kidney disease in Chinese people with type 2 diabetes

AIMS

To examine the association between 24 literature-based single nucleotide polymorphisms and diabetic kidney disease in Chinese people with type 2 diabetes.

METHODS AND RESULTS

Twenty-four candidate diabetic kidney disease-susceptible single nucleotide polymorphisms were genotyped in 208 participants with type 2 diabetes and diabetic kidney disease and 200 participants with type 2 diabetes without diabetic kidney disease (case and control groups, respectively), together with 206 healthy participants using MassARRAY. Rs11643718 in the SLC12A3 gene was associated with diabetic kidney disease in the recessive model after adjusting for confounding factors, such as age and gender (adjusted odds ratio 2.056, 95% CI 1.120-3.776; P = 0.020). Meta-analyses further confirmed the association (P = 0.002). In addition, participants with the GG genotype had worse renal function and more albuminuria than those with the AA+AG genotype (P < 0.05). Renal section immunohistochemistry was conducted in participants with type 2 diabetes, diabetic kidney disease and AA+AG or GG genotypes and in participants with glomerular minor lesions. Together with data from the Nephroseq database, it was shown that the abundance of SLC12A3 was reduced in patients with the GG genotype, while elevated expression of SLC12A3 was associated with better renal function. In addition, rs10951509 and rs1345365 in ELMO1, which were determined to be in high linkage disequilibrium by SHEsis software, were also associated with diabetic kidney disease (adjusted P = 0.010 and 0.015, respectively).

CONCLUSIONS

The G allele and GG genotype of SLC12A3 rs11643718 are associated with the development of diabetic kidney disease in a Chinese population with type 2 diabetes.

Association of MMP-9 polymorphisms with diabetic nephropathy risk: A protocol for systematic review and meta-analysis

BACKGROUND

Diabetic nephropathy (DN) is a multifactorial disease with gene-environment interaction resulting in progressive renal function damage. Multiple studies have assessed the association between matrix metalloproteinase-9 (MMP-9) gene promoter polymorphism and DN susceptibility. However, the results are inconclusive. In the present study, we will conduct a meta-analysis to further examine this relationship more precisely.

METHODS

Electronic databases (Pubmed, Web of Science, Embase, Google Scholar, Wanfang, China Biological Medicine and China National Knowledge Infrastructure) will be used to search clinical case-control studies about MMP-9 polymorphism and DN published until 18 August 2020. The language will be restricted to Chinese and English. Two reviewers will take charge of completing the selection of study, the extraction of data as well as the assessment of study quality independently. The Newcastle-Ottawa Scale will be used to evaluate the study quality. We will evaluate the association under 5 genetic models. Fixed-effects or random-effects models will be used to calculate the effect sizes of odds ratio and 95% confidence intervals. Afterwards, subgroup analysis will be conducted in terms of the ethnicity and genotyping method. Additionally, sensitivity analysis will be performed via sequentially omitting each of the included studies one at a time. The funnel plots, Egger regression test, and Begg rank correlation test will be used to test the potential publication bias. All the statistical analyses will be performed using Review Manager 5.3 and Stata 12.0.

RESULTS

This protocol reported according to the Preferred Reporting ltems for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) statement. This study will provide a better understanding of the association between MMP-9 polymorphisms and DN risk.

CONCLUSION

Publishing this protocol will minimize the potential bias related to data mining, thus contributing to generation of reliable evidence.

OSF REGISTRATION NUMBER

DOI 10.17605/OSF.IO/H5FS4.