The Susceptibility Genes in Diabetic Nephropathy

Genomics in Diabetic Kidney Disease: A 2024 Update

Diabetic Kidney Disease (DKD) remains the leading cause of Chronic and End Stage Kidney Disease (ESKD) worldwide, with an increasing epidemiological burden. However, still, the disease awareness remains low, early diagnosis is difficult, and therapeutic management is ineffective. These might be attributed to the fact that DKD is a highly heterogeneous disease, with disparities and variability in clinical presentation and progression patterns. Besides environmental risk factors, genetic studies have emerged as a novel and promising tool in the field of DKD. Three decades ago, family studies first reported that inherited genetic factors might confer significant risk to DKD development and progression. During the past decade, genome-wide association studies (GWASs) screening the whole genome in large and multi-ethnic population-based cohorts identified genetic risk variants associated with traits defining DKD in both type 1 and 2 diabetes. Herein, we aim to summarize the existing data regarding the progress in the field of genomics in DKD, present how the revolution of GWAS expanded our understanding of pathophysiologic disease mechanisms and finally, suggest potential future directions.

Association of Serum Unsaturated Fatty Acid Patterns with the Risk of Diabetic Nephropathy

Introduction

Unsaturated fatty acids play an essential role in the progression of diabetic nephropathy (DN). However, previous studies were mainly focused on the role of individual unsaturated fatty acid. The serum unsaturated fatty acid patterns (FAPs) in patients with DN remain to be determined.

Methods

A total of 135 patients with DN (DN group) and 322 patients with type II diabetes without nephropathy (non-DN group) were included in this study. Clinical data, serum levels of unsaturated fatty acids, and other laboratory indicators were collected. Multivariate logistic regression was applied to identify risk factors for serum unsaturated fatty acid level in both groups. Serum unsaturated fatty acids were subjected to factor analysis to identify distinct FAPs. Multivariable logistic regression was employed to assess the risk of DN associated with different serum FAPs.

Results

After adjusting for confounders, three types of unsaturated fatty acid including C20:5 (eicosapentaenoic acid [EPA]), C22:6 (docosahexaenoic acid [DHA]), and C22:5 n-3 (docosapentaenoic acid n-3) were significantly associated with DN in the population. The odds ratios (ORs) (95% confidence interval [CI]) of DN were 0.583 (0.374, 0.908), 0.826 (0.716, 0.954), and 0.513 (0.298, 0.883), respectively. Factor analysis revealed five major FAPs, among which FAP2 (enriched with EPA and DHA) exhibited a significant inverse association with DN. In the multivariate-adjusted model, the OR (95% CI) was 0.678 (0.493, 0.933). Additionally, a combination of DHA and EPA enriched in FAP2 further decreased extracellular matrix production induced by transforming growth factor beta 1 in podocytes and tubular cells.

Conclusions

Our findings suggest that FAP2 which is enriched with DHA and EPA is associated with a reduced risk of DN. This highlights the potential of targeting FAP2 for the patients with DN.

The Potential Impact of MYH9 (rs3752462) and ELMO1 (rs741301) Genetic Variants on the Risk of Nephrotic Syndrome Incidence

The kidney lost a lot of protein in the urine when you have nephrotic syndrome (NS). Clinical manifestations mostly common in NS include massive proteinuria, hypoalbuminemia, hyperlipidemia, and edema. Idiopathic nephrotic syndrome is currently classified into steroid-dependent (SDNS) and steroid-resistant (SRNS) based on the initial response to corticosteroid therapy at presentation. Several reports examined the association of the MYH9 gene (rs3752462, C > T) variant and ELMO1 gene (rs741301 G > A) variant as risk factors for Nephrotic Syndrome. This study aimed to determine the potential effect of the MYH9 gene (rs3752462, C > T) and ELMO1 gene (rs741301) variant on the risk of (NS) among Egyptian Children. This study included two hundred participants involving 100 nephrotic syndrome (NS) cases and 100 healthy controls free from nephrotic syndrome (NS). The MYH9 gene (rs3752462, C > T) variant and ELMO1 gene (rs G > A741301) variant were analyzed by ARMS-PCR technique. Nephrotic syndrome cases include 74% SRNS and 26% SDNS. Higher frequencies of the heterozygous carrier (CT) and homozygous variant (TT) genotypes of the MYH9 (rs3752462, C > T) variant were observed in NS patients compared to the controls with p-value < 0.001. The frequencies of the MYH9 (rs3752462, C > T variant indicated a statistically significant elevated risk of NS under various genetic models, including allelic model (OR 2.85, p < 0.001), dominant (OR 3.97, p < 0.001) models, and the recessive model OR 5.94, p < 0.001). Higher frequencies of the heterozygous carrier (GA) and homozygous variant (AA) genotypes of ELMO1gene (rs G > A741301) variant were observed in NS patients compared to the controls with p-value < 0.001. The frequencies of the ELMO1 (rs G > A741301) variant indicated a statistically significant elevated risk of NS under various genetic models, including allelic model (OR 2.15, p < 0.001), dominant models (OR 2.8, p < 0.001), and the recessive model (OR 4.17, p = 0.001). Both MYH9 and ELMO1 gene variants are significantly different in NS in comparison with the control group (p < 0.001). The MYH9 gene (rs3752462, C > T) and ELMO1gene (rs G > A741301) variants were considered independent risk factors for NS among Egyptian Children.

Silencing of METTL3 prevents the proliferation, migration, epithelial-mesenchymal transition, and renal fibrosis of high glucose-induced HK2 cells by mediating WISP1 in m6A-dependent manner

Diabetic nephropathy (DN) is one of the most serious complications in diabetic patients. And m6A modifications mediated by METTL3 are involved multiple biological processes. However, the specific function and mechanism of METTL3 in DN remains unclear. DN model mice were first established with streptozotocin, and WISP1 expression was confirmed by qRT-PCR. Then the influences of WISP1 or/and METTL3 on the proliferation, migration, and epithelial-mesenchymal transition (EMT) and fibrosis-related proteins of high glucose (HG)-induced HK2 cells or HK2 cells were tested through CCK-8, wound healing, and western blot. We first revealed that WISP1 was highly expressed in renal tissues of DN model mice and HG-induced HK2 cells. Functionally, WISP1 or METTL3 silencing could weaken the proliferation, migration, EMT, and fibrosis of HG-treated HK2 cells, and WISP1 or METTL3 overexpression could induce the proliferation, migration, EMT, and fibrosis of HK2 cells. Additionally, METTL3 silencing could decrease WISP1 m6A modification, and silencing of METTL3 also could notably suppress the biological functions of HG-induced HK2 cells by downregulating WISP1. Silencing of METTL3 prevents DN development process by decreasing WISP1 with m6A modification pattern. Therefore, we suggest that METTL3/WISP1 axis might be a novel therapeutic target for DN.

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.

Studying the Roles of the Renin-Angiotensin System in Accelerating the Disease of High-Fat-Diet-Induced Diabetic Nephropathy in a db/db and ACE2 Double-Gene-Knockout Mouse Model

Diabetic nephropathy (DN) is a crucial metabolic health problem. The renin-angiotensin system (RAS) is well known to play an important role in DN. Abnormal RAS activity can cause the over-accumulation of angiotensin II (Ang II). Angiotensin-converting enzyme inhibitor (ACEI) administration has been proposed as a therapy, but previous studies have also indicated that chymase, the enzyme that hydrolyzes angiotensin I to Ang II in an ACE-independent pathway, may play an important role in the progression of DN. Therefore, this study established a model of severe DN progression in a db/db and ACE2 KO mouse model (db and ACE2 double-gene-knockout mice) to explore the roles of RAS factors in DNA and changes in their activity after short-term (only 4 weeks) feeding of a high-fat diet (HFD) to 8-week-old mice. The results indicate that FD-fed db/db and ACE2 KO mice fed an HFD represent a good model for investigating the role of RAS in DN. An HFD promotes the activation of MAPK, including p-JNK and p-p38, as well as the RAS signaling pathway, leading to renal damage in mice. Blocking Ang II/AT1R could alleviate the progression of DN after administration of ACEI or chymase inhibitor (CI). Both ACE and chymase are highly involved in Ang II generation in HFD-induced DN; therefore, ACEI and CI are potential treatments for DN.

IGF1 and PPARG polymorphisms are associated with reduced estimated glomerular filtration rate in a cohort of children and adolescents with type 1 diabetes

INTRODUCTION

Several genetic loci have been associated with diabetic nephropathy; however, the underlying genetic mechanisms are still poorly understood, with no robust candidate genes identified yet.

AIM

We aimed to determine whether two polymorphisms, previously associated with renal decline, influence kidney impairment evaluating their association with markers of renal function in a pediatric population with type 1 diabetes (T1D).

MATERIAL AND METHODS

Renal function was evaluated by glomerular filtration rate (eGFR) and albumin-to-creatinine ratio (ACR) in a cohort of pediatric subjects with T1D (n = 278). Risk factors for diabetes complications (diabetes duration, blood pressure, HbA1c) were assessed. The IGF1 rs35767 and PPARG rs1801282 SNPs were genotyped by TaqMan RT-PCR system. An additive genetic interaction was calculated. Association analysis between markers of renal function and both SNPs or their additive interaction were performed.

RESULTS

Both SNPs showed a significant association with eGFR: the A allele of rs35767 or the C allele of rs1801282 were associated to reduced eGFR compared to G alleles. Multivariate regression analysis adjusted for age, sex, z-BMI, T1D duration, blood pressure and Hba1c values showed that the additive genetic interaction was independently associated with lower eGFR (β = -3.59 [-6.52 to -0.66], p = 0.017). No associations were detected between SNPs, their additive interaction and ACR.

CONCLUSIONS

These results provide new insight into the genetic predisposition to renal dysfunction, showing that two polymorphisms in IGF1 and PPARG genes can lead to a reduction in renal filtration rate leading these patients to be exposed to a higher risk of early renal complications.

Genotypic Analysis of COL4A1 Gene in Diabetic Nephropathy and Type 2 Diabetes Mellitus Patients: A Comparative Genetic Study

Diabetic nephropathy (DN) is specified by microalbuminuria, glomerular lesions, and renal fibrosis leading to end-stage renal disease. The pathophysiology of DN is multifactorial as a result of gene-environment interaction. Clinical studies suggested that gene mutations affect various pathways involved in DN, including extracellular matrix (ECM). During chronic hyperglycemia, collagen type-4-mediated ECM overproduction occurs, leading to renal fibrosis and DN development. In this study, COL4A1 gene variant rs605143 (G/A) was analyzed in diabetes and DN patients from the study population. We genotyped 386 study subjects, comprising 120 type 2 diabetes mellitus (T2DM) patients, 120 DN, and 146 healthy controls. All study subjects were analyzed for biochemical assays by commercially available kits and genotypic analysis by polymerase chain reaction-restriction fragment length polymorphism and confirmed by Sanger sequencing. Statistical analyses were done using SPSS and GraphPad. Anthroclinicopathological parameters showed a significant association between T2DM and DN. Genotype AA of COL4A1 gene variant rs605143 (G/A) showed a significant association with T2DM and DN compared with controls with 5.87- and 8.01-folds risk, respectively. Mutant allele A also significantly associated with T2DM and DN independently compared with healthy controls with 2.29- and 2.81-time risk in the study population. This study's findings suggested that COL4A1 gene variant rs605143 (G/A) can be used as predictive biomarkers for T2DM and DN independently. However, this gene variant needs to be analyzed in a large sample to explore the shared genetic association between T2DM and DN.

Network-based identification and prioritization of key transcriptional factors of diabetic kidney disease

Diabetic nephropathy (DN) is one of the most established microvascular complications of diabetes and a key cause of end-stage renal disease. It is well established that gene susceptibility to DN plays a critical role in disease pathophysiology. Therefore, many genetic studies have been performed to categorize candidate genes in prominent diabetic cohorts, aiming to investigate DN pathogenesis and etiology. In this study, we performed a meta-analysis on the expression profiles of GSE1009, GSE30122, GSE96804, GSE99340, GSE104948, GSE104954, and GSE111154 to identify critical transcriptional factors associated with DN progression. The analysis was conducted for all individual datasets for each kidney tissue (glomerulus, tubules, and kidney cortex). We identified distinct clusters of susceptibility genes that were dysregulated in a renal compartment-specific pattern. Further, we recognized a small but a closely connected set of these susceptibility genes enriched for podocyte differentiation, several of which were characterized as genes encoding critical transcriptional factors (TFs) involved in DN development and podocyte function. To validate the role of identified TFs in DN progression, we functionally validated the three main TFs (DACH1, LMX1B, and WT1) identified through differential gene expression and network analysis using the hyperglycemic zebrafish model. We report that hyperglycemia-induced altered gene expression of the key TF genes leads to morphological abnormalities in zebrafish glomeruli, pronephric tubules, proximal and distal ducts. This study demonstrated that altered expression of these TF genes could be associated with hyperglycemia-induced nephropathy and, thus, aids in understanding the molecular drivers, essential genes, and pathways that trigger DN initiation and development.

Association between engulfment and cell motility 1-gene polymorphisms and diabetic nephropathy in an Egyptian population with type 2 diabetes

Purpose

Engulfment and cell motility 1 (ELMO1), is a candidate gene responsible for cell motility and phagocytosis. However, its role in the development and progression of nephropathy attributed to T2D is still unknown. Kidney injury molecule-1 (KIM-1) plays a significant role in renal regeneration processes. The current study aimed to evaluate the association between kidney injury molecule-1 levels, ELMO1 gene polymorphism (rs741301, and rs1345365) as well as DN in an Egyptian population with T2D.

Methods

In this study, we enrolled 89 participants from the internal medicine outpatient clinic, 23 T2DM without DN, 22 with DN, and 44 control subjects. They were genotyped by real-time PCR. Serum level of KIM-1 was detected by ELISA.

Results

Serum KIM-1 level was correlated with DM duration, HbA1C, and UACR (P value <0.001) in T2D. There was no significant difference in the allelic and genotypic frequencies of rs741301 and rs1345365 between participants with DM who presented with albuminuria and those without. Results showed that rs1345365A/rs741301T and rs1345365G/rs741301C haplotypes were more common in patients with T2D than in HCs. However, the difference was not statistically significant (P = 0.262 and 0.414, respectively).

Conclusions

KIM-1 can be a useful non-invasive biomarker for detecting early DN. The association between ELMO1 gene polymorphisms and the risk of DN in patients with T2D was not validated. Therefore, further studies with a larger sample size must be conducted.

The GG genotype of erythropoietin rs1617640 polymorphism affects the risk of proliferative diabetic retinopathy in Slovenian subjects with type 2 diabetes mellitus: enemy or ally?

PURPOSE

The aim of this study was to investigate the relationship between erythropoietin rs1617640 polymorphism and proliferative diabetic retinopathy (PDR) in Slovenian subjects with type 2 diabetes mellitus. The second aim was to find whether erythropoietin expression in fibrovascular membranes varies among individuals carrying different genotypes of the rs1617640.

METHODS

This was a retrospective cross-sectional study based on 797 unrelated Slovenian (Caucasian) participants with type 2 diabetes mellitus. The study group consisted of 217 cases with PDR and 580 controls without clinical signs of diabetic retinopathy. Each subject was genotyped for rs1617640 polymorphism. Fibrovascular membranes from 27 subjects who underwent vitreoretinal surgery were analysed with immunohistochemistry. We searched for expression of erythropoietin, its cognate receptor and for a pan-endothelial marker CD-34.

RESULTS

Our results show that subjects carrying a minor GG genotype had significantly higher risk for PDR in both unadjusted (p = 0.02) and adjusted (p = 0.04) recessive genetic models. Subjects with the GG genotype had a 1.6-fold increased risk of developing PDR compared to subjects carrying the major T allele. In fibrovascular membranes from subjects with PDR, the mean number of cells expressing EPO was significantly higher in G allele carriers compared to the homozygotes for the common T allele.

CONCLUSION

In Slovenian subjects with type 2 diabetes mellitus, a significant increased risk of PDR was found in GG carriers of the erythropoietin gene rs1617640 polymorphism.

Kidney disease in diabetes: From mechanisms to clinical presentation and treatment strategies

Metabolic and haemodynamic perturbations and their interaction drive the development of diabetic kidney disease (DKD) and its progression towards end stage renal disease (ESRD). Increased mitochondrial oxidative stress has been proposed as the central mechanism in the pathophysiology of DKD, but other mechanisms have been implicated. In parallel to increased oxidative stress, inflammation, cell apoptosis and tissue fibrosis drive the relentless progressive loss of kidney function affecting both the glomerular filtration barrier and the renal tubulointerstitium. Alteration of glomerular capillary autoregulation is at the basis of glomerular hypertension, an important pathogenetic mechanism for DKD. Clinical presentation of DKD can vary. Its classical presentation, often seen in patients with type 1 diabetes (T1DM), features hyperfiltration and albuminuria followed by progressive fall in renal function. Patients can often also present with atypical features characterised by progressive reduction in renal function without albuminuria, others in conjunction with non-diabetes related pathologies making the diagnosis, at times, challenging. Metabolic, lipid and blood pressure control with lifestyle interventions are crucial in reducing the progressive renal function decline seen in DKD. The prevention and management of DKD (and parallel cardiovascular disease) is a huge global challenge and therapies that target haemodynamic perturbations, such as inhibitors of the renin-angiotensin-aldosterone system (RAAS) and SGLT2 inhibitors, have been most successful.

Development of Biomarkers and Molecular Therapy Based on Inflammatory Genes in Diabetic Nephropathy

Diabetic Nephropathy (DN) is a debilitating consequence of both Type 1 and Type 2 diabetes affecting the kidney and renal tubules leading to End Stage Renal Disease (ESRD). As diabetes is a world epidemic and almost half of diabetic patients develop DN in their lifetime, a large group of people is affected. Due to the complex nature of the disease, current diagnosis and treatment are not adequate to halt disease progression or provide an effective cure. DN is now considered a manifestation of inflammation where inflammatory molecules regulate most of the renal physiology. Recent advances in genetics and genomic technology have identified numerous susceptibility genes that are associated with DN, many of which have inflammatory functions. Based on their role in DN, we will discuss the current aspects of developing biomarkers and molecular therapy for advancing precision medicine.

β-defensin 1 Gene Polymorphisms are Associated with Kidney Disease in Northwestern Mexicans with Type 2 Diabetes

Diabetic kidney disease (DKD) is one of the more limiting complications to the quality of life of diabetes mellitus patients. Studies including cultured cells, animal models, and case-control studies highlight the role of human β-defensin-1 (hBD-1) in diabetes.This study assessed the association of hBD-1 gene (DEFB1) functional variations -52 G/A (rs1799946), -44 C/G (rs1800972) and -20 G/A (rs11362) with type 2 diabetes mellitus (T2DM) in order to investigate its effects on genetic susceptibility and progression to DKD in a Mexican population. A total of 214 T2DM patients with and without DKD (n = 102 and n = 112, respectively) and 117 healthy subjects participated in this case-control study. Genotyping was made by PCR-RFLPs. Clinical and biochemical parameters of all patients were measured. There was no statistically significant difference in genotype or allele frequencies between patients and healthy individuals. Nevertheless, compared with patients without DKD, DKD patients have a reduced prevalence of AA genotype of -52 G/A (OR = 0.307, 95% CI = 0.104-0.905, p =.026), as well as a higher frequency of GA genotype of -20 G/A variant (OR = 1.875, 95%CI = 1.031-3.409, p = .038). Our results suggest that rs1799946 and rs11362 could be useful variants to stratify T2DM Mexican patients in order to prescribe closer follow-up to prevent or retard DKD. Further tests in different ethnic groups are encouraged.

Advances in understanding the innate immune-associated diabetic kidney disease

Millions of human deaths occur annually due to chronic kidney disease, caused by diabetic kidney disease (DKD). Despite having effective drugs controlling the hyperglycemia and high blood pressure, the incidence of DKD is increasing, which indicates the need for the development of novel therapies to control DKD. In this article, we discussed the recent advancements in the basic innate immune mechanisms in renal tissues triggered under the diabetes environment, leading to the pathogenesis and progression of DKD. We also summarized the currently available innate immune molecules-targeting therapies tested against DKD in clinical and preclinical settings, and highlighted additional drug targets that could potentially be employed for the treatment of DKD. The improved understanding of the disease pathogenesis may open avenues for the development of novel therapies to rein in DKD, which consequently, can reduce morbidity and mortality in humans in the future.

Role of engulfment and cell motility 1 (ELMO1) gene polymorphism in development of diabetic kidney disease

Background

Diabetic kidney disease (DKD) is a progressive kidney disease that affects diabetic patients irrespective of glycemic state or hypertension. Therefore, early detection of DKD is of critical importance. Many genome-wide association studies have identified the engulfment and cell motility 1 (ELMO1) gene as a genetic marker linked to DKD. This study aimed to investigate the association between ELMO1 rs741301 gene polymorphism and the development of DKD among Egyptian patients with type 2 diabetes mellitus (T2DM). Allele and genotype frequencies were investigated in 304 subjects by real-time PCR allelic discrimination assay: 100 DKD patients, 102 diabetic patients without DKD, and 102 healthy controls.

Results

GG genotype of ELMO1 (rs741301) SNP and its allele frequencies were significantly high in all diabetic patients. GG genotype had an odds ratio (OR) of 6.095 and 95% confidence interval (CI) of 2.456–15.125, p < 0.001, while the frequent allele G had an OR of 2.366 and 95% CI of 1.450–3.859, p = 0.001. No significant difference was observed between T2DM without DKD and DKD.

Conclusion

Our results could not establish an association between the ELMO1 rs741301 variant and the progression of DKD.

The expression profile of circANKRD36 and ANKRD36 as diagnostic biomarkers of chronic kidney disease in patients with type 2 diabetes mellitus

Background

The molecular mechanisms for chronic kidney disease (CKD) remain largely unknown and appear to be multifactorial. In the current study, we aimed to study the circulatory levels of circular ankyrin repeat domain 36 (circANKRD36) and ANKRD36 in Egyptian patients with type 2 diabetes mellitus (T2DM) and CKD and to explore their associations with the progression of CKD. This cross-sectional controlled study enrolled 60 patients with T2DM and 40 controls. Real-time polymerase chain reaction (RT-PCR) and real-time quantitative PCR (RT-qPCR) analyses were used to detect the expression levels of circANKRD36 and ANKRD36.

Results

Our results detected that the relative expression levels of circANKRD36 and ANKRD36 were significantly higher in patients with T2DM compared to controls. CircANKRD36 and ANKRD36 were significantly overexpressed in patients with macroalbuminuria (0.2316±0.096, 0.0086±0.0035, respectively) compared microalbuminuria (0.1347±0.032, 0.0037±0.0008, respectively) as well as normoalbuminuria (0.1261±0.018, 0.0027±0.0004, respectively), p˂0.001*.

Conclusion

The relative expression levels of circANKRD36 and ANKRD36 were significantly increased in patients with T2DM more specifically in patients with diabetic nephropathy (DN) and macroalbuminuria.

Current Challenges and Future Perspectives of Renal Tubular Dysfunction in Diabetic Kidney Disease

Over decades, substantial progress has been achieved in understanding the pathogenesis of proteinuria in diabetic kidney disease (DKD), biomarkers for DKD screening, diagnosis, and prognosis, as well as novel hypoglycemia agents in clinical trials, thereby rendering more attention focused on the role of renal tubules in DKD. Previous studies have demonstrated that morphological and functional changes in renal tubules are highly involved in the occurrence and development of DKD. Novel tubular biomarkers have shown some clinical importance. However, there are many challenges to transition into personalized diagnosis and guidance for individual therapy in clinical practice. Large-scale clinical trials suggested the clinical relevance of increased proximal reabsorption and hyperfiltration by sodium-glucose cotransporter-2 (SGLT2) to improve renal outcomes in patients with diabetes, further promoting the emergence of renal tubulocentric research. Therefore, this review summarized the recent progress in the pathophysiology associated with involved mechanisms of renal tubules, potential tubular biomarkers with clinical application, and renal tubular factors in DKD management. The mechanism of kidney protection and impressive results from clinical trials of SGLT2 inhibitors were summarized and discussed, offering a comprehensive update on therapeutic strategies targeting renal tubules.

The Severity of Diabetic Retinopathy Is an Independent Factor for the Progression of Diabetic Nephropathy

(1) Background: It has rarely been studied whether the severity of diabetic retinopathy (DR) could influence renal disease progression in end-stage renal disease (ESRD) and chronic kidney disease (CKD) in patients with type 2 diabetes. The aim of this study was to evaluate renal disease progression in ESRD and CKD according to DR severity in patients with type 2 diabetes. (2) Methods: We included 1329 patients and divided the cohort into two end-points. The first was to trace the incidence of ESRD in all enrolled participants and the other was to follow their progression to CKD. (3) Results: Significantly higher crude hazard ratios (HRs) of ESRD incidence in all enrolled participants were noted, and this ratio increased in a stepwise fashion. However, after adjustment, DR severity was not associated with ESRD events. Therefore, a subgroup of 841 patients without CKD was enrolled to track their progression to CKD. Compared with no diabetic retinopathy, the progression of CKD increased in a stepwise fashion, from mild nonproliferative diabetic retinopathy (NPDR) to moderate NPDR, to severe NPDR and to proliferative diabetic retinopathy (PDR), both in the crude and adjusted models. (4) Conclusions: The severity of retinopathy appeared to be associated with renal lesions and the development of CKD. Our findings suggest that the severity of DR is a risk factor for progression to CKD. Therefore, diabetic retinopathy is useful for prognosticating the clinical course of diabetic kidney disease.

The Human Genetic Variants CYP2J2 rs2280275 and EPHX2 rs751141 and Risk of Diabetic Nephropathy in Egyptian Type 2 Diabetic Patients

BACKGROUND

Diabetic nephropathy (DN), the primary driver of end-stage kidney disease, is a problem with serious consequences for society's health. Single nucleotide polymorphisms (SNPs) can define differences in susceptibility to DN and aid in development of personalized treatment. Giving the importance of epoxyeicosatrienoic acids (EETs) in kidney health, we aimed to study the association between two SNPs in the genes controlling synthesis and degradation of EETs (CYP2J2 rs2280275 and EPHX2 rs751141 respectively) and susceptibility of type 2 diabetes mellitus (T2DM) patients to develop DN.

PATIENTS AND METHODS

Two hundred subjects were enrolled and categorized into three groups: group I (80 T2DM patients with DN), group II (60 T2DM patients without DN) and group III (60 healthy controls). Urea, creatinine, albumin/creatinine ratio (ACR), and eGFR were measured for all participants. Genotyping of CYP2J2 rs2280275 and EPHX2 rs751141 was done by real time PCR.

RESULTS

There was no significant difference between the studied groups regarding CYP2J2 rs2280275. In contrast, EPHX2 rs751141 was associated with increased risk of DN under a dominant model (GG vs GA+AA: OR=0.375; 95% CI (0.19-0.75), P=0.006) in unadjusted model and after adjustment for age and sex (OR=0.440; 95% CI (0.21-0.92), P=0.029), recessive model (AA vs GG+GA: OR=0.195; 95% CI (0.05-0.74), P=0.017) and additive model (GA vs GG+AA): OR=0.195; 95% CI (0.05-0.74), P=0.017).

CONCLUSION

CYP2J2 rs2280275 was not associated with DN predisposition. However, EPHX2 rs751141 could be a genetic marker for development and progression of DN among Egyptian T2DM patients.

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.

Molecular Mechanisms of SGLT2 Inhibitor on Cardiorenal Protection

The development of sodium-glucose transporter 2 inhibitor (SGLT2i) broadens the therapeutic strategies in treating diabetes mellitus. By inhibiting sodium and glucose reabsorption from the proximal tubules, the improvement in insulin resistance and natriuresis improved the cardiovascular mortality in diabetes mellitus (DM) patients. It has been known that SGLT2i also provided renoprotection by lowering the intraglomerular hypertension by modulating the pre- and post- glomerular vascular tone. The application of SGLT2i also provided metabolic and hemodynamic benefits in molecular aspects. The recent DAPA-CKD trial and EMPEROR-Reduced trial provided clinical evidence of renal and cardiac protection, even in non-DM patients. Therefore, the aim of the review is to clarify the hemodynamic and metabolic modulation of SGLT2i from the molecular mechanism.

Gender Differences in Genetic Associations of RAB38 with Urinary Protein-to-Creatinine Ratio (UPCR) Levels in Diabetic Nephropathy Patients

Renal dysfunction is common in patients with diabetes mellitus (DM). Previous findings from a meta-analysis of GWAS indicated that the variation of RAB38/CTSC is highly associated with the urinary albumin-to-creatinine ratio (UACR) in European populations. In addition, RAB38 knockout rats showed an increase in urinary albumins. Although the prevalence of chronic kidney disease is high in Taiwan, the role of genetic variants in diabetic renal function is still unclear. In the current study, 275 diabetic nephropathy (DN) patients were recruited to perform a genetic association study. Our results indicated that rs1027027, rs302647, and rs302646 in RAB38 were significantly associated with urinary protein-to-creatinine ratio (UPCR) levels in DN patients. Importantly, after analysis stratified by gender, a significant genetic influence on UPCR levels was observed in the male population. The findings confirmed the roles of gender and variants of RAB38 in the risk of UPCR in Diabetic Nephropathy patients.

NT5C2 methylation regulatory interplay between DNMT1 and insulin receptor in type 2 diabetes

Epigenetics alternation of non-genetic variation and genome-wide association study proven allelic variants may associate with insulin secretion in type 2 diabetes (T2D) development. We analyzed promoter DNA methylation array to evaluate the associated with increased susceptibility to T2D (30 cases, 10 controls) and found 1,091 gene hypermethylated in promoter regions. We performed the association study of T2D and found 698 single nucleotide polymorphisms in exon and promoter sites by using 2,270 subjects (560 cases, 1,710 controls). A comparison of DNA hypermethylation and gene silencing of mouse T2D results in our T2D patients’ results showed that the 5′-nucleotidase, cytosolic II (NT5C2) and fucosyltransferase 8 (FUT8) genes were strongly associated with increased susceptibility to T2D. DNA hypermethylation in promoter regions reduced NT5C2 gene expression, but not FUT8 in T2D patients. NT5C2 protein expression was decreased in pancreatic β-cells from T2D mice. Transient transfection NT5C2 into RIN-m5F cells down-regulated DNA methyltransferase I (DNMT1) expression and up-regulation of the insulin receptor. Moreover, NT5C2 knockdown induced in DNMT1 overexpression and insulin receptor inhibition. Taken together, these results showed that NT5C2 epigenetically regulated insulin receptor in patients and mice with T2D, and maybe provide for T2D therapy strategy.

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.

Association of ELMO1 gene polymorphism and diabetic nephropathy among Egyptian patients with type 2 diabetes mellitus

BACKGROUND AND OBJECTIVE

Diabetic nephropathy (DN) is the most common cause of end stage renal failure or even death among patients with type 2 diabetes mellitus. Genetic predisposition is widely studied among these patients to identify manageable aspects of the disease pathogenesis. This study was carried out to test the association of engulfment and cell motility 1 (ELMO1) gene polymorphism with DN among Egyptians. ELMO1 is required for phagocytosis of apoptotic cells and cell motility.

METHODS

This case-control study was conducted on type 2 diabetic patients who attended Suez Canal University Hospital, Egypt, between November 2016 and October 2017. Peripheral blood was collected from 200 diabetic patients (without nephropathy), 200 patients with DN, and 100 healthy controls for DNA extraction. The single nucleotide polymorphism of ELMO1 (rs741301) was genotyped using real-time polymerase chain reaction and the allele discrimination technique.

RESULTS

GG genotype was significantly associated with DN (odds ratio [OR] = 2.7; 95% confidence interval [CI]: 1.4-5.3) (P = .016). The OR for the high-risk allele (G) was 1.9 with 95% CI from 1.5 to 2.9 (P < .001).

CONCLUSION

ELMO1 gene (rs741301) polymorphism is a candidate variant in the predisposition to DN.

ε2 allele and ε2-involved genotypes (ε2/ε2, ε2/ε3, and ε2/ε4) may confer the association of APOE genetic polymorphism with risks of nephropathy in type 2 diabetes: a meta-analysis

Background

Diabetic nephropathy (DN) contributes to end-stage renal failure. Microvascular injury resulted from reactive oxygen species is implicated in the pathogenesis of DN. Genetic polymorphism of Apolipoprotein E (APOE) influences the antioxidative properties of the protein. The relationship of APOE polymorphism with the risks of nephropathy in type 2 diabetes (T2DN) remains elusive.

Methods

An up-to-date meta-analysis was conducted on the basis of studies selected from PubMed, WanFang database, Embase, Vip database, Web of Science, Scopus, and CNKI database.

Results

A total of 33 studies conferring 3266 cases and 3259 controls were selected on the basis of criteria of inclusion and exclusion in this meta-analysis. For APOE alleles, the pooled odds ratio (OR) of ε2 vs. ε3 was 1.89 (95% confidence intervals [95% CI]: 1.49–2.38, P < 0.0001). With regard to APOE genotypes, ε2/ε2, ε2/ε3, and ε2/ε4 increased the risk of T2DN (ε2/ε2 vs. ε3/ε3: OR = 2.32, 95% CI: 1.52–3.56, P = 0.0001; ε2/ε3 vs. ε3/ε3: OR = 1.97, 95% CI: 1.50–2.59, P<0.0001; ε2/ε4 vs. ε3/ε3: OR = 1.69, 95% CI: 1.18–2.44, P = 0.0046).

Conclusions

This meta-analysis found that the APOE ε2 allele and the ε2-involved genotypes (ε2/ε2, ε2/ε3, and ε2/ε4) are the risk factors of T2DN.

The effect of candesartan on chronic stress induced imbalance of glucose homeostasis

OBJECTIVE

To explore whether chronic stress induces imbalance of glucose homeostasis, and to investigate the possible involvement of the renin-angiotensin system (RAS).

METHODS

Male Sprague-Dawley rats were divided into four groups: control, chronic stress, chronic stress plus low dose candesartan (an angiotensin II receptor-1 blocker, ARB, 5 mg/kg/d, i.p.), chronic stress plus high dose candesartan (15 mg/kg/d, i.p.). Rats were received restraint stress for 14 days. Glucose transporter 2 (GLUT2) mRNA was quantified in liver by real-time polymerase chain reaction. The concentration of glucokinase (GK), glucose-6-phosphatase (G-6-P), glycogen synthase (GS), insulin receptor (ISR), glucocorticoid receptor (GR)-alpha and -beta in liver, hexokinase (HK), lactate dehydrogenase (LDH) and succinate dehydrogenase (SDH) in muscle, and serum insulin were measured by ELISA. Body weights, systolic blood pressure, heart rate and fasting blood glucose were monitored. Glucose tolerance test were performed after 14 days restraint stress.

RESULTS

After 14 days restraint stress, systolic blood pressure, increase of plasma glucose concentration at 15 minutes were higher and the fasting plasma concentration of glucose was lower compared with control group (P <  0.05), which were reversed by high dose ARB treatment (P <  0.05). In addition, chronic stress decreased expression of GLUT2 and increased expression of GR beta in liver. High dose ARB treatment normalized GLUT2 and GR beta expressions in liver.

CONCLUSIONS

Our present data indicate chronic stress induces the imbalance of glucose homeostasis and RAS contributes to the imbalance of glucose homeostasis induced by chronic stress.

Obesity, Metabolic Syndrome and the Risk of Microvascular Complications in Patients with Diabetes mellitus

BACKGROUND

Obesity frequently co-exists with type 2 diabetes mellitus (T2DM), leading to the socalled "diabesity epidemic". The metabolic syndrome (MetS), a cluster of central obesity, hypertension, dysglycemia, insulin resistance and/or atherogenic dyslipidemia, as well as non-alcoholic fatty liver disease (NAFLD), a hepatic manifestation of MetS, has been associated with increased cardiovascular disease (CVD), T2DM and chronic kidney disease (CKD) incidence. However, the association between obesity, MetS (including NAFLD) and diabetic microvascular complications is less evident.

METHODS

The present narrative review discusses the associations of obesity, MetS and NAFLD with diabetic kidney disease (DKD), diabetic retinopathy (DR) and diabetic peripheral neuropathy (DPN) as well as cardiac autonomic neuropathy (CAN). The available data on the effects of lifestyle measures and bariatric surgery on these diabetic complications are also briefly discussed.

RESULTS

Overall, both obesity and MetS have been related to DKD, DR and DPN, although conflicting results exist. Links between NAFLD and diabetic microvascular complications have also been reported but data are still limited. Lifestyle intervention and bariatric surgery may prevent the development and/or progression of these microvascular complications but more evidence is needed.

CONCLUSION

Clinicians should be aware of the frequent co-existence of MetS and/or NAFLD in T2DM patients to prevent or treat these metabolic disorders, thus potentially minimizing the risk for both CVD and diabetic microvascular complications.

Novel Biomarkers for Change in Renal Function in People With Dysglycemia

OBJECTIVE

Diabetes is a major risk factor for renal function decline and failure. The availability of multiplex panels of biochemical markers provides the opportunity to identify novel biomarkers that can better predict changes in renal function than routinely available clinical markers.

RESEARCH DESIGN AND METHODS

The concentration of 239 biochemical markers was measured in stored serum from participants in the biomarker substudy of Outcome Reduction With Initial Glargine Intervention (ORIGIN) trial. Repeated-measures mixed-effects models were used to compute the annual change in eGFR (measured as mL/min/1.73 m²/year) for the 7,482 participants with a recorded baseline and follow-up eGFR. Linear regression models using forward selection were used to identify the independent biomarker determinants of the annual change in eGFR after accounting for baseline HbA_1c, baseline eGFR, and routinely measured clinical risk factors. The incidence of the composite renal outcome (i.e., renal replacement therapy, renal death, renal failure, albuminuria progression, doubling of serum creatinine) and death within each fourth of change in eGFR predicted from these models was also estimated.

RESULTS

During 6.2 years of median follow-up, the median annual change in eGFR was -0.18 mL/min/1.73 m²/year. Fifteen biomarkers independently predicted eGFR decline after accounting for cardiovascular risk factors, as did 12 of these plus 1 additional biomarker after accounting for renal risk factors. Every 0.1 mL/min/1.73 m² predicted annual fall in eGFR predicted a 13% (95% CI 12, 14%) higher mortality.

CONCLUSIONS

Adding up to 16 biomarkers to routinely measured clinical risk factors improves the prediction of annual change in eGFR in people with dysglycemia.

A systematic integrative approach reveals novel microRNAs in diabetic nephropathy

Background:

Despite huge efforts, the underlying molecular mechanisms of diabetic nephropathy (DN) are yet elusive, and holistic views have rarely been generated. Considering the complexity of DN pathogenesis, the integration of datasets from different molecular types to construct a multilayer map of DN can provide a comprehensive insight toward the disease mechanisms and also can generate new knowledge. Here, we have re-analyzed two mRNA microarray datasets related to glomerular and tubulointerstitial compartments of human diabetic kidneys.

Materials and Methods:

The quality of the datasets was confirmed by unsupervised hierarchical clustering and principal component analysis. For each dataset, differentially expressed (DE) genes were identified, and transcription factors (TFs) regulating these genes and kinases phosphorylating the TFs were enriched. Furthermore, microRNAs (miRNAs) targeting the DE genes, TFs, and kinases were detected. Based on the harvested genes for glomeruli and tubulointerstitium, key signaling pathways and biological processes involved in diseases pathogenesis were recognized. In addition, the interaction of different elements in each kidney compartment was depicted in multilayer networks, and topology analysis was performed to identify key nodes. Central miRNAs whose target genes were most likely to be related to DN were selected, and their expressions were quantitatively measured in a streptozotocin-induced DN mouse model.

Results:

Among the examined miRNAs, miR-208a-3p and miR-496a-3p are, for the first time, found to be significantly overexpressed in the cortex of diabetic kidneys compared to controls.

Conclusion:

We predict that miR-208 is involved in oxygen metabolism and regulation of cellular energy balance. Furthermore, miR-496 potentially regulates protein metabolism and ion transport. However, their exact functions remain to be investigated in future studies. Taken together, starting from transcriptomics data, we have generated multilayer interaction networks and introduced novel players in DN.

Association between PNPLA2 Gene Polymorphisms and the Risk of Diabetic Kidney Disease in a Chinese Han Population with Type 2 Diabetes

Diabetic kidney disease (DKD) is one of the most common complications of diabetes and the leading cause of end-stage renal disease. Here, we investigated the association of PNPLA2 gene variations with DKD susceptibility in a Chinese Han population. A total of 818 participants with type 2 diabetes were recruited in the case-control study, including 379 patients diagnosed with DKD. We observed that 2 tagSNPs, PNPLA2 rs28633403 (A>G) and rs1138714 (A>G), were associated with DKD (rs28633403: genotype, P = 0.017; allele, P = 0.015; rs1138714: genotype, P = 0.029; allele, P = 0.018). PNPLA2 rs1138693 (T>C), a missense SNP, showed no association with DKD (genotype, P = 0.966; allele, P = 0.845). Genetic model analysis revealed that minor allele G of PNPLA2 rs28633403 was a protective factor of DKD in a dominant model adjusted by confounders (AG+GG vs. AA: adjusted odds ratio (aOR), 0.619; 95% CI 0.447-0.857; P = 0.004) and in an additive model (AG vs. AA: aOR, 0.633; 95% CI 0.447-0.895; P = 0.010; GG vs. AA: aOR, 0.588; 95% CI 0.385-0.897; P = 0.014). Minor allele G of PNPLA2 rs1138714 was associated with a higher risk of DKD in a dominant model adjusted by confounders (AG+GG vs. AA: adjusted odds ratio (aOR), 1.531; 95% CI 1.134-2.067; P = 0.005) and in an additive model (AG vs. AA: aOR, 1.529; 95% CI 1.118-2.091; P = 0.008). The combined effect of PNPLA2 rs28633403 AA+rs1138714 AG or GG genotype showed an association with DKD, adjusted by confounders (aOR, 2.194; 95% CI 1.378-3.492; P = 0.001), which was considered statistically significant with a markedly increased risk of DKD after a Holm-Bonferroni correction for multiple tests (P < 0.00125). Our results suggest that PNPLA2 rs28633403 and rs1138714 are significantly associated with the risk of DKD in a Chinese Han population with type 2 diabetes.

Lack of association of genetic variants for diabetic retinopathy in Taiwanese patients with diabetic nephropathy

OBJECTIVE

Diabetic nephropathy (DN) and diabetic retinopathy (DR) comprise major microvascular complications of diabetes that occur with a high concordance rate in patients and are considered to potentially share pathogeneses. In this case-control study, we sought to investigate whether DR-related single nucleotide polymorphisms (SNPs) exert pleiotropic effects on renal function outcomes among patients with diabetes.

RESEARCH DESIGN AND METHODS

A total of 33 DR-related SNPs were identified by replicating published SNPs and via a genome-wide association study. Furthermore, we assessed the cumulative effects by creating a weighted genetic risk score and evaluated the discriminatory and prediction ability of these genetic variants using DN cases according to estimated glomerular filtration rate (eGFR) status along with a cohort with early renal functional decline (ERFD).

RESULTS

Multivariate logistic regression models revealed that the DR-related SNPs afforded no individual or cumulative genetic effect on the nephropathy risk, eGFR status or ERFD outcome among patients with type two diabetes in Taiwan.

CONCLUSION

Our findings indicate that larger studies would be necessary to clearly ascertain the effects of individual genetic variants and further investigation is also required to identify other genetic pathways underlying DN.

Renal Benefits of SGLT 2 Inhibitors and GLP-1 Receptor Agonists: Evidence Supporting a Paradigm Shift in the Medical Management of Type 2 Diabetes

Diabetic nephropathy (DN) is one of the most perilous side effects of diabetes mellitus type 1 and type 2 (T1DM and T2DM).). It is known that sodium/glucose cotransporter 2 inhibitors (SGLT 2i) and glucagone like peptide-1 receptor agonists (GLP-1 RAs) have renoprotective effects, but the molecular mechanisms are still unknown. In clinical trials GLP-1 analogs exerted important impact on renal composite outcomes, primarily on macroalbuminuria, possibly through suppression of inflammation-related pathways, however enhancement of natriuresis and diuresis is also one of possible mechanisms of nephroprotection. Dapagliflozin, canagliflozin, and empagliflozin are SGLT2i drugs, useful in reducing hyperglycemia and in their potential renoprotective mechanisms, which include blood pressure control, body weight loss, intraglomerular pressure reduction, and a decrease in urinary proximal tubular injury biomarkers. In this review we have discussed the potential synergistic and/or additive effects of GLP 1 RA and SGLT2 inhibitors on the primary onset and progression of kidney disease, and the potential implications on current guidelines of diabetes type 2 management.

The Association of UNC13B Gene Polymorphisms and Diabetic Kidney Disease in a Chinese Han Population

BACKGROUND Polymorphisms in the UNC13B gene are associated with diabetic kidney disease (DKD) in the European population. Asian populations are more likely to suffer from complications of type 2 diabetes mellitus (T2DM), including diabetic kidney disease (DKD). This case-control study aimed to investigate the association between UNC13B gene polymorphisms and DKD in a Chinese Han population. MATERIAL AND METHODS Five single nucleotide polymorphism (SNP) loci (rs13293564, rs17360668, rs10114937, rs661712, and rs2281999) were genotyped in the UNC13B gene in 600 Chinese Han subjects. The study population included patients with T2DM with DKD (N=292) and control patients with T2DM without DKD (N=308). SNP genotyping was performed using a Sequenom MassARRAY system using chip-based matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). RESULTS There were no significant differences in the distribution of allele or genotype frequencies in the five UNC13B SNP markers (rs13293564, rs17360668, rs10114937, rs661712, and rs2281999) between the DKD group and control group of patients with T2DM. Haplotype analysis identified eight haplotypes for the combined effect of the five SNP markers in the UNC13B gene. The haplotype GGCCG was significantly associated with an increased risk of DKD. CONCLUSIONS This was the first study to demonstrate an association between UNC13B gene polymorphisms and the susceptibility to DKD in a Chinese Han population with T2DM. The haplotype GGCCG was significantly associated with an increased risk of DKD. The findings highlight the joint effect of SNP markers in the pathogenesis of DKD.

Association Between IL-6 Polymorphisms and Diabetic Nephropathy Risk: A Meta-analysis

BACKGROUND

The objective of this work was to evaluate the relevance of frequent interleukin-6 (IL-6) polymorphisms and diabetic nephropathy (DN) susceptibility by a systematic meta-analysis.

MATERIALS AND METHODS

The included studies related to the relationship between IL-6 and DN risk were searched from Pubmed, Embase and the Cochrane Library, and the Newcastle-Ottawa Scale was used to evaluate the study quality. A heterogeneity test was performed to determine the appropriate effect models based on the Q test and I² statistic. Odds ratios with 95% confidence intervals were used to determine the strength of associations. Afterwards, subgroup analysis was conducted to assess the effect of specific factors on the corresponding results. Additionally, publication bias and sensitivity analysis were also undertaken.

RESULTS

In total, 11 eligible articles were obtained. The meta-analysis revealed that the "C"allele of IL-6 rs1800795 was related to the decreased risk of DN (C versus G: P = 0.0471). The "G"allele of IL-6 rs1800796 was predominately associated with higher DN risks (GG versus CC: P = 0.0194; GG versus CC + GC: P = 0.0196). The "C"allele of IL-6 rs1800797 was implicated with higher prevalence of DN (C versus G: P = 0.0001; CC versus GG: P = 0.0003; CC versus GG + CG: P = 0.0227; CC + CG versus GG: P = 0.0001) while IL-6 rs2069837 and rs2069840 were not correlated with the susceptibility to DN.

CONCLUSIONS

This meta-analysis indicated that IL-6 rs1800795, rs1800796 and rs1800797 played important roles in DN development while IL-6 rs2069837 and rs2069840 might not be related to DN.