Association of Tumor Necrosis Factor Alpha Promoter Polymorphism (TNF-α 238 G/A and TNF-α 308 G/A) with Diabetic Mellitus, Diabetic Retinopathy and Diabetic Nephropathy: A Meta-analysis

Glucose-Related Traits and Risk of Migraine—A Potential Mechanism and Treatment Consideration

Migraine and glucose-related (glycaemic) traits (fasting glucose, fasting insulin, and type 2 diabetes) are common and complex comorbid disorders that cause major economic and social burdens on patients and their families. Studies on the relationship between migraine and glucose-related traits have yielded inconsistent results. The purpose of this review is to synthesise and discuss the information from the available literature on the relationship between fasting glucose, fasting insulin, and type 2 diabetes (T2D) with migraine. Publications on migraine and fasting glucose, migraine and fasting insulin, and migraine and T2D were identified from a PubMed and Google Scholar database search and reviewed for this article. Multiple publications have suggested that the comorbidity of migraine and glucose-related traits may have a similar complex pathogenic mechanism, including impaired glucose homeostasis, insulin resistance, reduced cerebrovascular reactivity, abnormal brain metabolism, shared genetic factors, neurotransmitters, and sex hormones. Furthermore, several studies have found a bi-directional link between migraine with insulin resistance and T2D. There is strong evidence for a biological association between migraine headache and glucose-related traits, and burgeoning evidence for shared genetic influences. Therefore, genetic research into these comorbid traits has the potential to identify new biomarkers and therapeutic targets and provide biological insight into their relationships. We encourage healthcare professionals to consider the co-occurrence of migraine with glucose-related traits in the evaluation and treatment of their patients.

The role of the TNF-α gene -308 G/A polymorphism in the development of diabetic nephropathy: An updated meta-analysis

BACKGROUND AND AIMS

Several studies have tried to link the relationship of tissue necrosis factor-alpha (TNF-α) -308 G/A polymorphism with the development of diabetic nephropathy (DN). However, these studies failed to reach a consensus due to conflicting results. This meta-analysis was done to thoroughly investigate the correlation between the polymorphism and DN development.

METHODS

To carry out the objective, patients with type 2 diabetes mellitus (T2DM) were used as controls, while patients who developed DN were utilized as cases. Eight studies (i.e., published between 2007 and 2018) were included in the present meta-analysis. Review Manager 5.3 was used to compute for the odds ratios (OR) and 95% confidence interval (CI) of the overall and post-outlier outcomes.

RESULTS

Overall, an association between DN development and the -308 G/A polymorphism was observed. However, Galbraith's plot analysis (as analyzed using Meta-Essentials) led to the removal of two studies, which significantly reduced heterogeneity. Post-outlier outcomes show significant results in the allelic (OR: 1.23; 95% CI: 1.01-1.50; p = 0.04) and co-dominant (OR: 1.60; 95% CI: 1.02-2.51; p = 0.04) models.

CONCLUSION

T2DM individuals with the -308 G/A polymorphism in the TNF-α gene are more likely to develop DN.

Effects of TNF-α-308G/A Polymorphism on the Risk of Diabetic Nephropathy and Diabetic Retinopathy: An Updated Meta-Analysis

Diabetic nephropathy (DN) and diabetic retinopathy (DR) are the major factors of morbidity and mortality in the patients with diabetes mellitus (DM). Growing studies have investigated the relationship between the TNF-α-308G/A polymorphism and the susceptibility to DN and DR, without achieving consensus. Thus, we conducted this meta-analysis to reach more comprehensive conclusions for these issues. Eligible studies were retrieved through electronic databases such as PubMed, Embase, Web of Science and China National Knowledge Infrastructure. Summary of odds ratios (OR) and 95% confidence intervals (CIs) were generated to evaluate the intensity of the associations. Statistical analyses were performed by STATA 11.0 and RevMan 5.2. There are fourteen eligible publications involving nineteen studies in this meta-analysis. TNF-α-308G/A polymorphism was significantly related to increasing risk of DN under recessive model (OR=1.37, 95% CI=1.03-1.83) and homozygous model (OR=1.54, 95% CI=1.15-2.06). Moreover, the similar results were also obtained in Asian groups for DN (recessive: OR=1.69, 95% CI=1.18-2.42; homozygous: OR=1.99, 95% CI=1.38-2.86; respectively), and significant association was also detected between TNF-α-308G/A and DN susceptibility in type 2 DM in recessive model (OR=1.39, 95% CI=1.02-1.89). No significant association was observed between TNF-α-308G/A and DR susceptibility in total analyses and subgroup analyses by ethnicity and type of DM. TNF-α-308G/A polymorphism may enhance the susceptibility to diabetic nephropathy, especially in Asian population and in T2DM patients, but not diabetic retinopathy.

The association of TNF-α -308G/A and -238G/A polymorphisms with type 2 diabetes mellitus: a meta-analysis

Tumor necrosis factor-α (TNF-α) is involved in insulin resistance and has long been a candidate gene implicated in type 2 diabetes mellitus (T2DM), however the association between TNF-α polymorphisms -308G/A and -238G/A and T2DM remains controversial. The present study sought to verify associations between these polymorphisms and T2DM susceptibility using a meta-analysis approach. A total of 49 case-control studies were selected up to October 2018. Statistical analyses were performed by STATA 15.0 software. The odds ratios (ORs) and 95% confidence intervals were calculated to estimate associations. Meta-analyses revealed significant associations between TNF-α -308G/A and T2DM in the allele model (P=0.000); the dominant model (P=0.000); the recessive model (P=0.001); the overdominant model (P=0.008) and the codominant model (P=0.000). Subgroup analyses also showed associations in the allele model (P=0.006); the dominant model (P=0.004) and the overdominant model (P=0.005) in the Caucasian and in the allele model (P=0.007); the dominant model (P=0.014); the recessive model (P=0.000) and the codominant model (P=0.000) in the Asian. There were no associations between TNF-α -238G/A and T2DM in the overall and subgroup populations. Meta-regression, sensitivity analysis and publication bias analysis confirmed that results and data were statistically robust. Our meta-analysis suggests that TNF-α -308G/A is a risk factor for T2DM in Caucasian and Asian populations. It also indicates that TNF-α -238G/A may not be a risk factor for T2DM. More comprehensive studies will be required to confirm these associations.

Multilocus genetic risk score for diabetic retinopathy in the Han Chinese population of Taiwan

The aim of this study is to explore the effect of genetic variation on diabetic retinopathy (DR) risk in a Taiwanese population. The logistic regression model was used to evaluate the relationship between DR status and risk factors, including the conventional parameters and genetic risk score (GRS). Candidate single nucleotide polymorphisms (SNPs) in GRS were selected based on previous reports with a combined P < 10^-4 (genome-wide association) and P < 0.05 (meta-analysis). In total, 58 SNPs in 44 susceptibility loci were selected, and four were used to calculate GRS. After adjustment for age, systolic blood pressure, diabetes duration, and HbA1c, the DR risk was 4.95 times higher for patients in the top GRS third tile than for those in the bottom third tile (95% CI = 2.99-8.18; P < 0.001). The addition of genetic information improved DR prediction, increasing the area under the curve (AUC) from 0.72 to 0.77 (P = 0.0024) and improving the sensitivity of the model such that 40 more subjects were reclassified into DR status. The developed multivariate logistic regression model combining conventional risk factors and the multilocus GRS can predict DR, thus enabling timely treatment to reduce blindness in T2D patients.

Influence of IL-6, IL-10, IFN-γ and TNF-α genetic variants on susceptibility to diabetic kidney disease in type 2 diabetes mellitus patients

BACKGROUND

Data from previous studies on the role of inflammatory cytokines as biomarkers for diabetic kidney disease (DKD) are contradictory. The association of a particular inflammatory cytokine single nucleotide polymorphism (SNP) with susceptibility to DKD has not been consistently replicated. We aimed to investigate the utility of inflammatory cytokines as biomarkers for DKD in type 2 diabetes mellitus (T2DM) patients. Association of inflammatory cytokine gene SNPs with the development of DKD was also explored.

SUBJECTS AND METHODS

One hundred and fifty-nine Kuwaiti subjects were recruited in this study, including 50 T2DM patients without DKD, 67 diabetic DKD patients and 42 healthy subjects. Plasma levels of interleukin-6 (IL-6), IL-10, interferon gamma (IFN-γ) and tumor necrosis factor alpha (TNF-α) were measured by enzyme-linked immunosorbent assays. Nine SNPs, including 2 SNPs in IL-6, 3 SNPs in IL-10, 1 SNP in IFN-γ and 3 SNPs in TNF-α, were genotyped using TaqMan SNP genotyping assays.

RESULTS

Diabetic DKD patients showed higher IL-6, IL-10, IFN-γ and TNF-α levels than those without DKD. Diabetic DKD patients had a significantly higher frequency of IL-10 - 1082 A allele than those without DKD (p = 0.001). No significant association of IL-6 - 174/-597 haplotypes with DKD risk was detected (p = 0.188). Distribution of IL-10 - 592/-819/-1082 haplotypes differ significantly between T2DM patients with/without DKD (p = 0.014). Diabetic DKD patients had a significantly lower frequency of IL-10 - 592C/-819C/-1082G haplotype than those without DKD (p = 0.002).

CONCLUSIONS

Although inflammatory cytokine genotypes and, more importantly, haplotypes may have the potential to identify those patients at risk of DKD, hence, improving DKD predisposition prediction, further investigations regarding their real clinical significance is warranted in a large cohort of patients.

Diabetic macular oedema: under-represented in the genetic analysis of diabetic retinopathy

Diabetic retinopathy, a complication of both type 1 and type 2 diabetes, is a complex disease and is one of the leading causes of blindness in adults worldwide. It can be divided into distinct subclasses, one of which is diabetic macular oedema. Diabetic macular oedema can occur at any time in diabetic retinopathy and is the most common cause of vision loss in patients with type 2 diabetes. The purpose of this review is to summarize the large number of genetic association studies that have been performed in cohorts of patients with type 2 diabetes and published in English-language journals up to February 2017. Many of these studies have produced positive associations with gene polymorphisms and diabetic retinopathy. However, this review highlights that within this large body of work, studies specifically addressing a genetic association with diabetic macular oedema, although present, are vastly under-represented. We also highlight that many of the studies have small patient numbers and that meta-analyses often inappropriately combine patient data sets. We conclude that there will continue to be conflicting results and no meaningful findings will be achieved if the historical approach of combining all diabetic retinopathy disease states within patient cohorts continues in future studies. This review also identifies several genes that would be interesting to analyse in large, well-defined cohorts of patients with diabetic macular oedema in future candidate gene association studies.

Clinical Efficacy of Alprostadil Combined with α-lipoic Acid in the Treatment of Elderly Patients with Diabetic Nephropathy

Objective

To evaluate the effect and toxicity of alprostadil combined with thioctic acid injection in the treatment of patients with diabetic nephropathy (DN).

Methods

Sixty two patients with DN were included in this study and randomly divided into control group (n=32) and experiment group (n=30). Patients in the control group were given alprostadil 20ug+NS 100ml ivgtt, qd and patients in the experiment group were given alprostadil 20ug+NS 100ml ivgtt combined with thioctic acid injection of 0.45g+100ml ivgtt, qd for 14 days. After treatment, the renal function and serum level of CRP, IL-6 and TNF-α were compared between the two groups.

Results

After two weeks of treatment, the serum level of CysC and UAER significant decreased for both control and experiment group with statistical difference of p<0.05. After treatment, the serum level of CysC were 1.40 ±0.46 mg/L and 1.02±0.33 for control and experiment group respectively (p<0.05). The post-treatment UAER in experiment group was significantly lower than those of control group with statistical difference (81.02±0.33 vs112.45±20.32, p<0.05) ug/min. The serum level of CRP, IL-6 and TNF-α were significantly decreased after treatment for both control and experiment group (p<0.05). And the post-treatment serum CRP, IL-6 and TNF-α in experiment group were significantly lower than those of control group with statistical difference (p<0.05). No significant side effects were found for the two groupsin the course of treatment.

Conclusion

Alprostadil combined with α-lipoic acid may improve renal function in patients with diabetic nephropathy by decreasing the levels of serum inflammatory factors.

Micro RNA-550a interferes with vitamin D metabolism in peripheral B cells of patients with diabetes

The pathogenesis of diabetes is to be further investigated. Vitamin D3 (VitD3) can improve diabetes. Micro RNAs (miR) are involved in regulating cell activities. This study tests a hypothesis that miR-550a interferes with the metabolism of VitD3 in peripheral B cells. In this study, blood samples were collected from patients with diabetes and healthy persons. The B cells were isolated from the blood samples to be treated with tumor necrosis factor (TNF)-α. The B cells were then collected and analyzed for the expression of miR-550a and cyp27b1. The results showed that B cells from healthy subjects were capable of converting VitD metabolite calcidiol to calcitriol, which was impaired in B cells collected from diabetic patients. The diabetic patients showed lower bone mineral density than that in healthy subject. The miR-550a was negatively correlated with bone mineral density and the Levels of cyp27b1 in peripheral B cells of patients with diabetes. In vitro study showed that TNF-α increased miR-550a expression and inhibited the expression of cyp27b1 in B cells. miR-550a mediated the effects of TNF-α on inducing chromatin remodeling at the cyp27b1 gene locus. In conclusion, miR-550a mediates the TNF-α-induced suppression of cyp27b1 expression in peripheral B cells of patients with diabetes, which can be blocked by inhibition of miR-550a.

Red blood cell alloimmunization in patients with sickle cell disease: correlation with HLA and cytokine gene polymorphisms

BACKGROUND

The reason for the difference in susceptibility to red blood cell (RBC) alloimmunization among patients with sickle cell disease (SCD) is not clearly understood and is probably the result of multiple factors. Our hypothesis is that genetic polymorphisms are associated with RBC alloimmunization.

STUDY DESIGN AND METHODS

We investigated the possible association of susceptibility to RBC alloimmunization with polymorphisms of HLA and cytokines genes in 161 SCD patients prior exposed to RBC transfusion. Cytokine gene polymorphisms were analyzed by polymerase chain reaction (PCR) and TaqMan assays. HLA Class I genotyping was performed using PCR-specific sequence of oligonucleotides. Polymorphism frequencies were compared using the Fisher's exact test.

RESULTS

Our results revealed increased percentage of the A allele and the GA genotype of the TNFA -308G/A cytokine among alloimmunized patients when compared to nonalloimmunized patients (A allele, 16.4% vs. 6.8%, p = 0.004; GA genotype, 32.8% vs. 11.7%, p = 0.0021). In addition, the IL1B -511T allele and the IL1B -511TT and CT genotype frequencies were overrepresented among alloimmunized patients (T allele, 53.0% vs. 37.5%, p = 0.0085; CT + TT genotypes, 81.82% vs. 60.87%, p = 0.0071). In relation to HLA Class I, we found a higher frequency of HLA-DRB1*15 among patients alloimmunized to Rh antigens when compared to nonalloimmunized patients (15.63% vs. 6.98%, p = 0.044).

CONCLUSION

Brazilian SCD patients with the TNFA, IL1B, and HLA-DRB1 gene polymorphisms were at increased risk of becoming alloimmunized by RBC transfusions. These findings may contribute to the development of future therapeutic strategies for patients with SCD with higher susceptibility of alloimmunization.

Update on genetics and diabetic retinopathy

Clinical risk factors for diabetic retinopathy (DR), such as duration of disease and degree of glucose control, do not adequately predict disease progression in individual patients, suggesting the presence of a genetic component. Multiple smaller studies have investigated genotype–phenotype correlations in genes encoding vascular endothelial growth factor, aldose reductase, the receptor for advanced glycation end products, and many others. In general, reported results have been conflicting, due to factors including small sample sizes, variations in study design, differences in clinical end points, and underlying genetic differences between study groups. At this time, there is no confirmed association with any risk allele reported. As we continue to collect data from additional studies, the role of genetics in DR may become more apparent.