Type 2 diabetes mellitus and the risk of hepatitis C virus infection: a systematic review. Sci Rep. 2013;3:2981. [PMID: 25671325 PMCID: PMC6506455 DOI: 10.1038/srep02981]

Effects of comorbid conditions and prescribed chronic medications on the treatment plan for chronic hepatitis C infection: A cross-sectional retrospective study

Background

Chronic hepatitis C (CHC) infection is a potentially life-threatening condition characterized by various complications, including end-stage liver disease and cirrhosis. The mortality rate associated with CHC has been increasing due to the presence of comorbidities and the use of chronic medications. Therefore, the objective of this study was to investigate the impact of these comorbidities and chronic medications on the treatment plan for CHC.

Methods

To achieve this objective, a cross-sectional retrospective study was conducted at a tertiary hospital in Jeddah, Saudi Arabia. The study population included patients aged 12 years and above who were diagnosed with CHC between 2016 and 2021. Patients below the age of 12 were excluded from the study. A total of 170 patients with CHC were included in the analysis. The study aimed to evaluate the relationship between CHC complications and the treatment approach.

Results

The mean age of the study participants was 66.78 years, with a higher proportion of female patients. The findings revealed a significant association between hypertension (p = 0.042) and cirrhosis (p = 0.007) with changes in the treatment plan for CHC. Moreover, the presence of diabetes mellitus (p = 0.045), renal diseases (p < 0.001), and hypothyroidism (p = 0.004) were significantly associated with HCV clearance after the initiation of therapy. Additionally, the use of proton pump inhibitors (p = 0.033) and levothyroxine (p = 0.025) was found to be associated with a higher rate of CHC clearance.

Conclusion

In conclusion, this study highlights the prevalence of comorbid conditions and the use of chronic medications among patients with CHC. The findings emphasize the importance of considering the effects of comorbidities and chronic medications when developing treatment plans for CHC infections. By taking these factors into account, healthcare professionals can optimize the management of CHC and improve patient outcomes.

Associations between type 2 diabetes mellitus and chronic liver diseases: evidence from a Mendelian randomization study in Europeans and East Asians

Objective

Multiple observational studies have demonstrated an association between type 2 diabetes mellitus (T2DM) and chronic liver diseases (CLDs). However, the causality of T2DM on CLDs remained unknown in various ethnic groups.

Methods

We obtained instrumental variables for T2DM and conducted a two-sample mendelian randomization (MR) study to examine the causal effect on nonalcoholic fatty liver disease (NAFLD), hepatocellular carcinoma (HCC), viral hepatitis, hepatitis B virus (HBV) infection, and hepatitis C virus (HCV) infection risk in Europeans and East Asians. The primary analysis utilized the inverse variance weighting (IVW) technique to evaluate the causal relationship between T2DM and CLDs. In addition, we conducted a series of rigorous analyses to bolster the reliability of our MR results.

Results

In Europeans, we found that genetic liability to T2DM has been linked with increased risk of NAFLD (IVW : OR =1.3654, 95% confidence interval [CI], 1.2250-1.5219, p=1.85e-8), viral hepatitis (IVW : OR =1.1173, 95%CI, 1.0271-1.2154, p=0.0098), and a suggestive positive association between T2DM and HCC (IVW : OR=1.2671, 95%CI, 1.0471-1.5333, p=0.0150), HBV (IVW : OR=1.1908, 95% CI, 1.0368-1.3677, p=0.0134). No causal association between T2DM and HCV was discovered. Among East Asians, however, there was a significant inverse association between T2DM and the proxies of NAFLD (ALT: IVW OR=0.9752, 95%CI 0.9597-0.9909, p=0.0021; AST: IVW OR=0.9673, 95%CI, 0.9528-0.9821, p=1.67e-5), and HCV (IVW: OR=0.9289, 95%CI, 0.8852-0.9747, p=0.0027). Notably, no causal association was found between T2DM and HCC, viral hepatitis, or HBV.

Conclusion

Our MR analysis revealed varying causal associations between T2DM and CLDs in East Asians and Europeans. Further research is required to investigate the potential mechanisms in various ethnic groups, which could yield new insights into early screening and prevention strategies for CLDs in T2DM patients.

Machine learning for predicting hepatitis B or C virus infection in diabetic patients

Highly prevalent hepatitis B and hepatitis C virus (HBV and HCV) infections have been reported among individuals with diabetes. Given the frequently asymptomatic nature of hepatitis and the challenges associated with screening in some vulnerable populations such as diabetes patients, we conducted an investigation into the performance of various machine learning models for the identification of hepatitis in diabetic patients while also evaluating the significance of features. Analyzing NHANES data from 2013 to 2018, machine learning models were evaluated; random forest (RF), support vector machine (SVM), eXtreme Gradient Boosting (XGBoost), and least absolute shrinkage and selection operator (LASSO) along with stacked ensemble model. We performed hyperparameter tuning to improve the performance of the model, and selected important predictors using the best performance model. LASSO showed the highest predictive performance (AUC-ROC = 0.810) rather than other models. Illicit drug use, poverty, and race were highly ranked as predictive factors for developing hepatitis in diabetes patients. Our study demonstrated that a machine-learning-based model performed optimally in the detection of hepatitis among diabetes patients, achieving high performance. Furthermore, models and predictors evaluated from the current study, we expect, could be supportive information for developing screening or treatment methods for hepatitis care in diabetes patients.

Mechanisms and clinical relevance of the bidirectional relationship of viral infections with metabolic diseases

Viruses have been present during all evolutionary steps on earth and have had a major effect on human history. Viral infections are still among the leading causes of death. Another public health concern is the increase of non-communicable metabolic diseases in the last four decades. In this Review, we revisit the scientific evidence supporting the presence of a strong bidirectional feedback loop between several viral infections and metabolic diseases. We discuss how viruses might lead to the development or progression of metabolic diseases and conversely, how metabolic diseases might increase the severity of a viral infection. Furthermore, we discuss the clinical relevance of the current evidence on the relationship between viral infections and metabolic disease and the present and future challenges that should be addressed by the scientific community and health authorities.

Hepatitis Risk in Diabetes Compared to Non-Diabetes and Relevant Factors: A Cross-Sectional Study with National Health and Nutrition Examination Survey (NHANES), 2013-2018

This study aimed to identify the development of hepatitis B or C infection in diabetes patients compared to those without and to elucidate factors associated with the prevalence of hepatitis B or C infection in diabetes. We conducted a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES) 2013-2018. As evaluation factors, we included variables such as age, race, illicit drug use, and poverty. The diabetic group had a significantly higher prevalence of hepatitis B or C infection than the non-diabetic group (odds ratio (OR) = 1.73; 95% confidence interval (CI), 1.36-2.21, p < 0.01). In multivariate Cox regression, non-poverty and non-illicit drug use were lower risk factors contributing to hepatitis development in diabetes (hazard ratio (HR) = 0.50; 95% CI, 0.32-0.79, p < 0.01, and HR = 0.05; 95% CI, 0.03-0.08, p < 0.01, respectively). Logistic regression also showed that these factors were significant contributors to hepatitis development in the diabetic group (p < 0.01). In patients with diabetes, the development of hepatitis was higher than that in those without, and hepatitis development was influenced by poverty and illicit drug use. This may provide supporting evidence of response strategies for diabetes to care for hepatitis development in advance.

TASL, TADE, and DAROC consensus for the screening and management of hepatitis C in patients with diabetes

Diabetes mellitus (DM) and hepatitis C virus (HCV) infection are prevalent diseases globally and emerging evidence demonstrates the bidirectional association between the two diseases. Direct-acting antivirals (DAAs) for HCV have a high treatment success rate and can significantly reduce the risks of short and long-term complications of HCV infection. However, despite the evidence of the association between diabetes and HCV and the benefits of anti-HCV treatment, previously published guidelines did not focus on the universal HCV screening for patients with diabetes and their subsequent management once confirmed as having HCV viremia. Nonetheless, screening for HCV among patients with diabetes will contribute to the eradication of HCV infection. Thus, the three major Taiwan medical associations of diabetes and liver diseases endorsed a total of 14 experts in the fields of gastroenterology, hepatology, diabetology, and epidemiology to convene and formulate a consensus statement on HCV screening and management among patients with diabetes. Based on recent studies and guidelines as well as from real-world clinical experiences, the Taiwan experts reached a consensus that provides a straightforward approach to HCV screening, treatment, and monitoring of patients with diabetes.

Hepatitis C Seroconversion Remains High among Patients with Regular Hemodialysis: Study of Associated Risk Factors

Methods

An analytical cross-sectional study involving patients from 2 dialysis units (1 referral hospital and 1 private dialysis unit) in Denpasar, Bali, Indonesia, from January 2020 to December 2021. We evaluated age, gender, duration of hemodialysis, vascular access, history of transfusion, history of surgery, diabetes mellitus, hepatitis B, human immunodeficiency virus (HIV) infection, and type of dialyzer as possible risk factors of hepatitis C seroconversion among hemodialysis patients.

Results

A total of 338 hemodialysis patients were enrolled in this study. We found hepatitis C seroconversion in 94 patients (27.8%), all of which occurred after regular dialysis was started. Vascular access type (OR 42.07, 95% CI 5.757-307.472) and dialyzer reuse (OR 8.324, 95% CI 4.319-16.044) were showing a statistically significant association with hepatitis C seroconversion. A separate analysis on each dialysis unit found common evidence that the duration of dialysis was significantly associated with hepatitis C infection among hemodialysis patients.

Conclusion

Hepatitis C seroconversion among dialysis patients remains high. Factors related to the dialysis procedure itself played a major role in transmitting the virus.

Genome-wide association analyses of common infections in a large practice-based biobank

INTRODUCTION

Infectious diseases are common causes of morbidity and mortality worldwide. Susceptibility to infection is highly heritable; however, little has been done to identify the genetic determinants underlying common infectious diseases. One GWAS was performed using 23andMe information about self-reported infections; we set out to confirm previous loci and identify new ones using medically diagnosed infections.

METHODS

We used the electronic health record (EHR)-based biobank at Vanderbilt and diagnosis codes to identify cases of 12 infectious diseases in white patients: urinary tract infection, pneumonia, chronic sinus infections, otitis media, candidiasis, streptococcal pharyngitis, herpes zoster, herpes labialis, hepatitis B, infectious mononucleosis, tuberculosis (TB) or a positive TB test, and hepatitis C. We selected controls from patients with no diagnosis code for the candidate disease and matched by year of birth, sex, and calendar year at first and last EHR visits. We conducted GWAS using SAIGE and transcriptome-wide analysis (TWAS) using S-PrediXcan. We also conducted phenome-wide association study to understand associations between identified genetic variants and clinical phenotypes.

RESULTS

We replicated three 23andMe loci (p ≤ 0.05): herpes zoster and rs7047299-A (p = 2.6 × 10^-3) and rs2808290-C (p = 9.6 × 10^-3;); otitis media and rs114947103-C (p = 0.04). We also identified 2 novel regions (p ≤ 5 × 10^-8): rs113235453-G for otitis media (p = 3.04 × 10^-8), and rs10422015-T for candidiasis (p = 3.11 × 10^-8). In TWAS, four gene-disease associations were significant: SLC30A9 for otitis media (p = 8.06 × 10^-7); LRP3 and WDR88 for candidiasis (p = 3.91 × 10^-7 and p = 1.95 × 10^-6); and AAMDC for hepatitis B (p = 1.51 × 10^-6).

CONCLUSION

We conducted GWAS and TWAS for 12 infectious diseases and identified novel genetic contributors to the susceptibility of infectious diseases.

Effects of Achieving Sustained Virologic Response after Direct-Acting Antiviral Agents on Long-Term Liver Fibrosis in Diabetics vs. in Non-Diabetic Patients with Chronic Hepatitis C Infection

Because of the prevalence of HCV worldwide as well as its undiagnosed population due to a lack of screening, HCV can be considered a modern pandemic disease. In 2016, the World Health Organization (WHO) set goals for HCV's elimination that included a 65 percent reduction in mortality and an 80 percent reduction in newly infected cases by 2030. This study is a follow-up evaluation of 80 patients who received interferon-free treatment with direct-acting agents (DAA) for chronic HCV infection between the second half of 2017 and the end of 2018. They were assessed using a FibroMax test prior to DAA administration. Two pills/day of Ombitasvir 12.5 mg/Paritaprevir 75 mg/Ritonavir 50 mg and two pills/day of Dasabuvir 250 mg were given to the patients for 8 weeks. After treatment, all 80 patients in this study achieved an SVR (sustained virologic response), and the FibroMax test was performed three years later. Our study found that successfully treating HCV infection can play a significant role in reducing fibrosis in T2DM patients. In comparison to those of ActiTest and SteatoTest, FibroMax scores showed a significantly greater reduction in T2DM patients than in treatment-naive patients.

Hepatitis C Virus, Insulin Resistance, and Diabetes: A Review

Hepatitis C virus (HCV) infection and diabetes mellitus (DM) are two chronic diseases that are a cause of significant health and economic burdens worldwide. HCV is associated with the development of insulin resistance (IR) and diabetes mellitus (DM). The mechanisms through which HCV induces IR and DM include direct viral effects, pro-inflammatory cytokines and other immune-mediated processes. Type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) are both chronic diseases that involve impaired glucose homeostasis, albeit through different mechanisms. T1DM is an autoimmune disease that leads to the destruction of pancreatic beta cells resulting in insulin deficiency. In T2DM, a combination of peripheral insulin resistance and irregular production of insulin eventually lead to beta cell destruction and insulin insufficiency. Both type 1 and type 2 DM etiologies involve a combination of genetic and environmental factors. The data on HCV and T1DM association is limited, unlike T2DM, where a large body of evidence linking HCV to T2DM is available. Here, we intend to outline the current state of knowledge on HCV, IR, and DM. This article is protected by copyright. All rights reserved.

In Vitro and In Ovo Evaluation of the Potential Hepatoprotective Effect of Metformin

Background and Objectives: Metformin is currently the leading drug of choice for treating type 2 diabetes mellitus, being one of the most widely used drugs worldwide. The beneficial effects of Metformin, however, extend far beyond the reduction of blood glucose. Therefore, this study aimed to evaluate Metformin's effects both in vitro and in ovo. Materials and Methods: Metformin has been tested in five different concentrations in human hepatocytes -HepaRG, in terms of cell viability, morphology, structure and number of nuclei and mitochondria, as well as the effect on cell migration. Through the application of HET-CAM, the biocompatibility and potential anti-irritant, as well as protective effects on the vascular plexus were also assessed. Results: According to the results obtained, Metformin increases cell viability without causing morphological changes to cells, mitochondria, or nuclei. Metformin displayed an anti-irritant activity rather than causing irritation at the level of the vascular plexus. Conclusions: In conclusion, Metformin enhances cell viability and proliferation and, has a protective effect on the vascular plexus. Nonetheless, more studies are required to clarify the mechanism of hepatoprotective effect of metformin.

Novel Biomarkers of Inflammation for the Management of Diabetes: Immunoglobulin-Free Light Chains

Virus infection, inflammation and genetic factors are important factors in the pathogenesis of diabetes mellitus. The nuclear factor-kappa B (NF-κB) is a family of transcription factors that bind the enhancer of the κ light chain gene of B cell immunoglobulin. NF-κB plays an essential role in the activation and development of B cells, and the activation of NF-κB is critical in the inflammation and development of diabetes mellitus. Recently, immunoglobulin-free light chain (FLC) λ was found to be increased in the sera of patients with diabetes mellitus, and the FLC λ and κ/λ ratios are more specific and sensitive markers for the diagnosis of diabetes relative to glycated hemoglobin A1c. Thus, FLCs may be promising biomarkers of inflammation that could relate to the activation of NF-κB. We suggest that NF-κB could be a target for an anti-inflammatory strategy in preventing and treating diabetes when FLCs are modified. FLCs could be a surrogate endpoint in the management of diabetes. In this review, the role of inflammation in the pathogenesis of diabetes, as well as the novel inflammatory biomarkers of FLCs for the management of diabetes, are discussed.

The nature and prognosis of renal diseases in chronic hepatitis-C-infected diabetic Egyptian patients: The role of renal biopsy

BACKGROUND AND AIMS

Egypt has a wide prevalence of Diabetes and chronic HCV infection. The relationship between diabetes and HCV is bidirectional and both have their impact on kidney. The aim is to study the exact diagnostic and prognostic significance of renal biopsy in Diabetic HCV-infected patients with renal disease.

MATERIAL AND METHODS

In this cross-sectional study, we compared the clinical and histopathological characteristics of sixty-five patients all of them presented with evidence of kidney injury. The main study group included twenty patients who had DM and hepatitis c virus (DM-HCV); the other two groups were included as diseased control, twenty hepatitis c virus (HCV) patients, and twenty-five diabetic non-HCV patients (DM).

RESULTS

DM-HCV patients had a statistically significantly higher percentage of sclerosed glomeruli (Median Value of 44.5% versus 7% in DM and 7% in HCV). The tendency toward diffuse (20%) and global (75%) patterns of sclerosis as well as moderate to severe tubular atrophy (45%), moderate to severe interstitial fibrosis (55%) were reported in the DM-HCV group. Electron microscopic showed a significantly higher frequency of podocytopathies (70% in DM-HCV versus 12% in DM).

CONCLUSION

These results confirmed the diagnostic and prognostic significance of histopathological evaluation in guiding the management plan which cannot be replaced by just relying on clinical prediction.

Hepatitis E virus infection increases the risk of diabetes and severity of liver disease in patients with chronic hepatitis C virus infection

OBJECTIVES

Co-infection with hepatitis A or B viruses may aggravate liver injury in patients infected with hepatitis C virus (HCV). However, few studies have assessed co-infection with hepatitis E virus (HEV) and HCV. Therefore, this study aimed to assess the prevalence and impact of HEV infection among Brazilian patients with chronic HCV infection.

METHODS

This observational study included adult patients with chronic HCV infection who were naive to antiviral therapy from January 2013 to March 2016. A total of 181 patients were enrolled, and HEV serology and PCR were performed for all patients.

RESULTS

Seropositivity for anti-HEV IgG was detected in 22 (12.0%) patients and anti-HEV immunoglobulin M in 3 (1.6%). HEV RNA showed inconclusive results in nine (4.9%) patients and was undetectable in the remaining patients. HEV serology positive patients had more severe liver disease, characterized by liver fibrosis ≥3 versus ≤2 (p<0.001), Aspartate Aminotransferase-to-Platelet Ratio Index of ≥1.45 (p=0.003), and Fibrosis-4 score of ≥3.25 (p=0.001). Additionally, the odds of HEV-positive patients developing diabetes mellitus were 3.65 (95% CI 1.40-9.52) times the corresponding odds of HEV-negative patients. A case-control-based histological analysis (n=11 HEV-HCV-positive patients and n=22 HCV-positive patients) showed no significant differences between the groups.

CONCLUSIONS

This prevalence is higher than that reported in previous studies of the general population in Brazil. Thus, HEV infection may influence the severity of liver disease and may represent an additional risk of developing diabetes mellitus in patients with HCV infection.

LncRNA KCNQ1OT1 promoted hepatitis C virus-induced pyroptosis of β-cell through mediating the miR-223-3p/NLRP3 axis

Background

Type 2 diabetes is a well described extra-hepatic manifestation of hepatitis C virus (HCV) infection. This study aimed to explore the potential mechanism of KCNQ1 overlapping transcript 1 (KCNQ1OT1) in type 2 diabetes mellitus (T2DM) caused by HCV infection.

Methods

Min6 cells were infected with HCV to establish a vitro model, and the HCV copy number was detected by real-time quantitative PCR (RT-qPCR). The mRNA and protein expressions of IL-1β, IL-18, NLRP3, caspase-1, and GSDMD were analyzed by RT-qPCR and Western blot. Flow cytometry and TUNEL assay were used to evaluate the pyroptosis of cells and enzyme-linked immunosorbent assay (ELISA) detected the secretion of insulin. A dual luciferase reporter gene assay then verified the targeting relationship of KCNQ1OT1, miRNA-223-3p, and NLRP3.

Results

KCNQ1OT1 was highly expressed in HCV-infected T2DM patients and HCV-infected β-cells. Silencing KCNQ1OT1 inhibited β-cell pyroptosis by regulating miR-223-3p/NLRP3, and inhibition of miR-223-3p or overexpression of NLRP3 reversed the pyroptosis by silencing KCNQ1OT1.

Conclusions

Our findings indicate KCNQ1OT1 promotes HCV-infected β-cell pyroptosis through the miRNA-223-3p/NLRP3 axis, effecting the production of insulin and accelerating the occurrence and development of T2DM.Regulating KCNQ1OT1 and its target genes will help to better understand the pathogenesis of T2DM induced by HCV infection and provide new theoretical foundations and therapeutic targets.

High blood glucose levels are associated with fibrosis/cirrhosis progression in chronic hepatitis C

Chronic hepatitis C (CHC) leads eventually to liver fibrosis, advanced hepatic disease and related deaths. Therefore, it is very important to assess clinical risk factors associated with rapid CHC and hepatic fibrosis progression. Former studies reported diabetes mellitus synergistic interactions with other host factors to fibrosis progression. Here, we aimed to evaluate the association between elevated blood glucose levels and CHC progression according to METAVIR system in patients chronically infected with HCV-genotype 4 and to evaluate the correlation between elevated glucose levels and liver- and viral-related biochemical parameters. A total of 160 patients with CHC (80 with liver fibrosis and 80 with cirrhosis) and 40 healthy volunteers, negative for HCV, were included. Our results revealed that cirrhotic patients had high (P = .0001) fasting (169.1 ± 50.2 mg/dL), postprandial (208 (123-320) mg/dL), and random (176.8 ± 51 mg/dL) glucose levels compared to patients with liver fibrosis (105.0 ± 32, 120 (105-135), and 113.5 ± 35 mg/dL, respectively). Mean serum fasting, postprandial and random glucose levels were significantly (P = .0001) increased with an increase in fibrosis stages, F1< F2< F3< F4. Blood glucose levels were also significantly (P < .05) correlated with liver disease related biological parameters and HCV-Ab titer. In conclusion, our results highlighted the fibrogenic impact of elevated glucose levels on CHC patients.

Spatial epidemiology of diabetes: Methods and insights

Diabetes mellitus (DM) is a growing epidemic with global proportions. It is estimated that in 2019, 463 million adults aged 20-79 years were living with DM. The latest evidence shows that DM continues to be a significant global health challenge and is likely to continue to grow substantially in the next decades, which would have major implications for healthcare expenditures, particularly in developing countries. Hence, new conceptual and methodological approaches to tackle the epidemic are long overdue. Spatial epidemiology has been a successful approach to control infectious disease epidemics like malaria and human immunodeficiency virus. The implementation of this approach has been expanded to include the study of non-communicable diseases like cancer and cardiovascular diseases. In this review, we discussed the implementation and use of spatial epidemiology and Geographic Information Systems to the study of DM. We reviewed several spatial methods used to understand the spatial structure of the disease and identify the potential geographical drivers of the spatial distribution of DM. Finally, we discussed the use of spatial epidemiology on the design and implementation of geographically targeted prevention and treatment interventions against DM.

Non-autoimmune diabetes mellitus and the risk of virus infections: a systematic review and meta-analysis of case-control and cohort studies

A significant number of studies invoked diabetes as a risk factor for virus infections, but the issue remains controversial. We aimed to examine whether non-autoimmune diabetes mellitus enhances the risk of virus infections compared with the risk in healthy individuals without non-autoimmune diabetes mellitus. In this systematic review and meta-analysis, we assessed case-control and cohort studies on the association between non-autoimmune diabetes and viruses. We searched PubMed, Embase, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, and Web of Science with no language restriction, to identify articles published until February 15, 2021. The main outcome assessment was the risk of virus infection in individuals with non-autoimmune diabetes. We used a random-effects model to pool individual studies and assessed heterogeneity (I2) using the χ2 test on Cochrane's Q statistic. This study is registered with PROSPERO, number CRD42019134142. Out of 3136 articles identified, we included 68 articles (90 studies, as the number of virus and or diabetes phenotype varied between included articles). The summary OR between non-autoimmune diabetes and virus infections risk were, 10.8(95% CI: 10.3-11.4; 1-study) for SARS-CoV-2; 3.6(95%CI: 2.7-4.9, I2 = 91.7%; 43-studies) for HCV; 2.7(95% CI: 1.3-5.4, I2 = 89.9%, 8-studies;) for HHV8; 2.1(95% CI: 1.7-2.5; 1-study) for H1N1 virus; 1.6(95% CI: 1.2-2.13, I2 = 98.3%, 27-studies) for HBV; 1.5(95% CI: 1.1-2.0; 1-study) for HSV1; 3.5(95% CI: 0.6-18.3 , I2 = 83.9%, 5-studies) for CMV; 2.9(95% CI: 1-8.7, 1-study) for TTV; 2.6(95% CI: 0.7-9.1, 1-study) for Parvovirus B19; 0.7(95% CI: 0.3-1.5 , 1-study) for coxsackie B virus; and 0.2(95% CI: 0-6.2; 1-study) for HGV. Our findings suggest that, non-autoimmune diabetes is associated with increased susceptibility to viruses especially SARS-CoV-2, HCV, HHV8, H1N1 virus, HBV and HSV1. Thus, these viruses deserve more attention from diabetes health-care providers, researchers, policy makers, and stakeholders for improved detection, overall proper management, and efficient control of viruses in people with non-autoimmune diabetes.

Susceptibility for Some Infectious Diseases in Patients With Diabetes: The Key Role of Glycemia

Uncontrolled diabetes results in several metabolic alterations including hyperglycemia. Indeed, several preclinical and clinical studies have suggested that this condition may induce susceptibility and the development of more aggressive infectious diseases, especially those caused by some bacteria (including Chlamydophila pneumoniae, Haemophilus influenzae, and Streptococcus pneumoniae, among others) and viruses [such as coronavirus 2 (CoV2), Influenza A virus, Hepatitis B, etc.]. Although the precise mechanisms that link glycemia to the exacerbated infections remain elusive, hyperglycemia is known to induce a wide array of changes in the immune system activity, including alterations in: (i) the microenvironment of immune cells (e.g., pH, blood viscosity and other biochemical parameters); (ii) the supply of energy to infectious bacteria; (iii) the inflammatory response; and (iv) oxidative stress as a result of bacterial proliferative metabolism. Consistent with this evidence, some bacterial infections are typical (and/or have a worse prognosis) in patients with hypercaloric diets and a stressful lifestyle (conditions that promote hyperglycemic episodes). On this basis, the present review is particularly focused on: (i) the role of diabetes in the development of some bacterial and viral infections by analyzing preclinical and clinical findings; (ii) discussing the possible mechanisms by which hyperglycemia may increase the susceptibility for developing infections; and (iii) further understanding the impact of hyperglycemia on the immune system.

Hepatitis C virus cascade of care in the general population, in people with diabetes, and in substance use disorder patients

Background

The aim was to evaluate the hepatitis C virus (HCV) cascade of care in the general population (GP) and in two high-risk populations: patients with diabetes mellitus (DM) and substance users (AS) in treatment in Reggio Emilia Province, Italy.

Methods

A population-based cross-sectional study was conducted that included 534,476 residents of the Reggio Emilia Province, of whom 32,800 were DM patients and 2726 AS patients. Age-adjusted prevalence was calculated using the direct method of adjustment based on the age-specific structure of EU population.

Results

The prevalence of HCV testing was 11.5%, 13.8%, and 47.8% in GP, DM, and AS patients respectively, while HCV prevalence was 6.5/1000, 12.6/1000, and 167/1000, respectively. The prevalence of HCV RNA positivity was 4.4/1000, 8.7/1000, and 114/1000 in the three populations, respectively. The rates of HCV RNA-positive individuals not linked to care were 27.9%, 27.3%, and 26% in GP, DM, and AS patients, respectively, while the rates of those cured or cleared were 70.9%, 71%, and 69.9%, respectively. The prevalence of HCV testing was higher for females of reproductive age than for males the same age: 218.4/1000 vs. 74.0/1000, respectively. While more foreigners than Italians underwent the HCV test and were HCV positive, fewer foreigners than Italians received HCV treatment and were cured.

Conclusions

The low HCV testing and linkage to care rates remain an important gap in the HCV cascade of care in Northern Italy. The prevalence of cured/cleared residents remains lower among foreigners than among Italians.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13027-021-00345-8.

Chronic hepatitis C infection induces cardiovascular disease and type 2 diabetes: mechanisms and management

Despite the availability of effective treatments, hepatitis C virus (HCV) still remains a threat to public health. HCV is capable to trigger, behind liver damage, extrahepatic manifestations, including cardiovascular disease and type 2 diabetes (T2DM). A close association has been reported between HCV infection and cardiovascular disease due to imbalances in metabolic pathways and chronic inflammation. HCV through both direct and indirect mechanisms causes a higher incidence of ischemic stroke, acute coronary syndrome, heart failure and peripheral arterial disease. In addition, a higher risk of death from cardiovascular events has been showed in HCV patients. Insulin resistance is a hallmark of HCV infection and represents the link between HCV and T2DM, which is one of the most frequent HCV-associated extrahepatic manifestations. The pathological basis of the increased risk of T2DM in HCV infection is provided by the alterations of the molecular mechanisms of IR induced both by the direct effects of the HCV proteins, and by the indirect effects mediated by chronic inflammation, oxidative stress and hepatic steatosis. T2DM increases the risk of compensated and decompensate cirrhosis and hepatocellular carcinoma as well as increases the risk of cardiovascular disease, lower limb amputation and end stage renal disease. Current evidence suggests that HCV eradication reduces the incidence and mortality of cardiovascular disease and T2DM, further underling the importance of public health strategies for eradication the infection. The aim of this review was to update evidence and management of interaction between HCV, cardiovascular disease, and T2DM in the era of DAA treatment.

Whyte M. Diabetes, obesity and COVID-19: A complex interplay

With the accumulation of observational data showing an association of metabolic co-morbidities with adverse outcomes from COVID-19, there is a need to disentangle the contributions of pre-existing macro- and microvascular disease, obesity and glycaemia. This article outlines the complex mechanistic and clinical interplay between diabetes and COVID-19, the clinical and research questions which arise from this relationship, and the types of studies needed to answer those questions. The authors are clinicians and academics working in diabetes and obesity medicine, but the article is pitched to an audience of generalists with clinical experience of or interest in the management of COVID-19.

Clinical implications, diagnosis, and management of diabetes in patients with chronic liver diseases

Diabetes mellitus (DM) negatively affects the development and progression of chronic liver diseases (CLD) of various etiologies. Concurrent DM and CLD are also associated with worse clinical outcomes with respect to mortality, the occurrence of hepatic decompensation, and the development of hepatocellular carcinoma (HCC). Unfortunately, early diagnosis and optimal treatment of DM can be challenging, due to the lack of established clinical guidelines as well as the medical complexity of this patient population. We conducted an exploratory review of relevant literature to provide an up-to-date review for internists and hepatologists caring for this patient population. We reviewed the epidemiological and pathophysiological associations between DM and CLD, the impact of insulin resistance on the progression and manifestations of CLD, the pathogenesis of hepatogenic diabetes, as well as the practical challenges in diagnosis and monitoring of DM in this patient population. We also reviewed the latest clinical evidence on various pharmacological antihyperglycemic therapies with an emphasis on liver disease-related clinical outcomes. Finally, we proposed an algorithm for managing DM in patients with CLD and discussed the clinical and research questions that remain to be addressed.

Interleukin-6-174G/C polymorphism is associated with a decreased risk of type 2 diabetes in patients with chronic hepatitis C virus

BACKGROUND

Chronic hepatitis C (CHC) is associated with type 2 diabetes mellitus. Although the pathogenesis remains to be elucidated, a growing evidence has suggested a role of pro-inflammatory immune response. Increased serum concentrations of Interleukin 6 (IL-6) have been associated with insulin resistance, type 2 diabetes mellitus as well as advanced forms of liver disease in chronic hepatitis C infection.

AIM

To investigate the frequency of IL-6-174G/C (rs1800795) single nucleotide polymorphism (SNP) in CHC patients and in healthy subjects of the same ethnicity. Associations between type 2 diabetes mellitus (dependent variable) and demographic, clinical, nutritional, virological and, IL-6 genotyping data were also investigated in CHC patients.

METHODS

Two hundred and forty-five patients with CHC and 179 healthy control subjects (blood donors) were prospectively included. Type 2 diabetes mellitus was diagnosed according to the criteria of the American Diabetes Association. Clinical, biochemical, histological and radiological methods were used for the diagnosis of the liver disease. IL-6 polymorphism was evaluated by Taqman SNP genotyping assay. The data were analysed by logistic regression models.

RESULTS

Type 2 diabetes mellitus, blood hypertension and liver cirrhosis were observed in 20.8% (51/245), 40.0% (98/245) and 38.4% (94/245) of the patients, respectively. The frequency of the studied IL-6 SNP did not differ between the CHC patients and controls (P = 0.81) and all alleles were in Hardy-Weinberg equilibrium (P = 0.38). In the multivariate analysis, type 2 diabetes mellitus was inversely associated with GC and CC genotypes of IL-6-174 (OR = 0.42; 95%CI = 0.22-0.78; P = 0.006) and positively associated with blood hypertension (OR = 5.56; 95%CI = 2.79-11.09; P < 0.001).

CONCLUSION

This study was the first to show that GC and CC genotypes of IL-6-174 SNP are associated with a decreased risk of type 2 diabetes mellitus in patients chronically infected with hepatitis C virus. The identification of potential inflammatory mediators involved in the crosstalk between hepatitis C virus and the axis pancreas-liver remains important issues that deserve further investigations.

The association between metabolic syndrome and Hepatitis C virus infection in the United States

PURPOSE

Hepatitis C virus (HCV) infection is the prevalent risk factor for chronic hepatitis, cirrhosis, and hepatocellular carcinoma (HCC) worldwide. The association between metabolic syndrome (MetS) and HCV infection has not been studied effectively, particularly among different ethnic/racial groups in the US.

METHODS

A retrospective cross-sectional study was conducted using data from the National Health and Nutrition Examination Survey (1999-2014). Unadjusted and adjusted associations were summarized using the prevalence ratio (PR) and 95% confidence interval (CI) after exploring possible interactions.

RESULTS

In the overall population, MetS was significantly associated with HCV infection with an interaction of age. After adjusting for all potential confounders, MetS was found to be significantly associated with HCV among non-obese and younger adults of age less than 60 years (PR 1.67, 95% CI 1.21-2.30, p = 0.002). MetS was also associated with an increased prevalence of HCV in each racial/ethnic group, while the association was strongly modified by age and obesity status of the subjects in different ethnic/racial groups.

CONCLUSIONS

MetS or its components are associated with an increased prevalence of HCV in some sub-populations of all ethnic/racial groups in the US. A better understanding of the pathophysiology of MetS associated with HCV is important as MetS may have a role in HCV infection treatment outcomes.

Omics-based Investigation of Diet-induced Obesity Synergized with HBx, Src, and p53 Mutation Accelerating Hepatocarcinogenesis in Zebrafish Model

The primary type of liver cancer, hepatocellular carcinoma (HCC), has been associated with nonalcoholic steatohepatitis, diabetes, and obesity. Previous studies have identified some genetic risk factors, such as hepatitis B virus X antigens, overexpression of SRC oncogene, and mutation of the p53 tumor suppressor gene; however, the synergism between diet and genetic risk factors is still unclear. To investigate the synergism between diet and genetic risk factors in hepatocarcinogenesis, we used zebrafish with four genetic backgrounds and overfeeding or high-fat-diet-induced obesity with an omics-based expression of genes and histopathological changes. The results show that overfeeding and high-fat diet can induce obesity and nonalcoholic steatohepatitis in wild-type fish. In HBx, Src (p53-) triple transgenic zebrafish, diet-induced obesity accelerated HCC formation at five months of age and increased the cancer incidence threefold. We developed a global omics data analysis method to investigate genes, pathways, and biological systems based on microarray and next-generation sequencing (NGS, RNA-seq) omics data of zebrafish with four diet and genetic risk factors. The results show that two Kyoto Encyclopedia of Genes and Genomes (KEGG) systems, metabolism and genetic information processing, as well as the pathways of fatty acid metabolism, steroid biosynthesis, and ribosome biogenesis, are activated during hepatocarcinogenesis. This study provides a systematic view of the synergism between genetic and diet factors in the dynamic liver cancer formation process, and indicate that overfeeding or a high-fat diet and the risk genes have a synergistic effect in causing liver cancer by affecting fatty acid metabolism and ribosome biogenesis.

Effect of HCV treatment response on insulin resistance: A systematic review and meta-analysis

Sustained virological response (SVR) in hepatitis C virus (HCV) patients treated with pegylated interferon α-2a and ribavirin is associated with reduced insulin resistance (IR), measured as a reduction of homeostasis model assessment (HOMA) scores after 24 weeks of therapy, and reduced fasting serum insulin and serum glucose levels. The present meta-analysis aimed to evaluate the effect of HCV treatment response on IR in HCV patients who achieved SVR and those who did not (non-SVR) after receiving interferon (IFN)-based therapy. The PubMed, Cochrane and Embase databases were searched using combinations of the following search terms: ‘HCV’, ‘hepatitis C’, ‘interferon’, ‘antiviral’, ‘treatment response’ and ‘insulin resistance’. The incidence of IR, HOMA-IR and HOMA-β, as well as fasting glucose and fasting insulin levels, were summarized in terms of basal values and values after the end of treatment for each study. A total of 8 studies were included in the final analysis. There was no significant difference in the reduction in IR between the SVR and non-SVR groups (odds ratio, 0.995; 95% CI=0.613–1.616; P=0.984). However, the SVR group had a significantly higher mean reduction in HOMA-IR (difference in means=−0.485; 95%CI=−0.713 to −0.256; P<0.001) and HOMA-β (difference in means=−15.448; 95%CI=−23.326 to −7.570; P<0.001) compared to the non-SVR group. In conclusion, HCV patients who achieved SVR after IFN-based therapy exhibited improvement in HOMA-IR and HOMA-β. The present results suggest that clinical management of IR and serum glucose levels may be an important way to impact the therapeutic response in HCV patients.

Hepatitis C virus infection and development of type 2 diabetes mellitus: Systematic review and meta-analysis of the literature

Type 2 diabetes mellitus (T2DM) is an endocrine disorder encompassing multifactorial mechanisms, and chronic hepatitis C virus infection (CHC) is a multifaceted disorder, associated with extrahepatic manifestations, including endocrinological disorders. CHC and T2DM are associated, but the subject remains controversial. We performed a systematic review and meta-analysis evaluating such association, searching on PubMed until February 29, 2016. Inclusion criteria were: 1) presence of at least one internal control group age- and gender-matched (non-hepatopathic controls; and/or hepatopathic, not HCV-positive, controls); 2) sufficient data to calculate odds ratio and relative risk. Exclusion criteria were: 1) literature reviews on the topic; 2) publications regarding special populations [human immunodeficiency virus and human T-lymphotropic virus-1 coinfections, hepatocellular carcinoma (HCC), post-transplantation DM, gender selection]; 3) no clear differentiation among HCV patients with CHC, cirrhosis or HCC. Data from each study were independently extracted by two reviewers and cross-checked by AA. Our systematic review returned 544 records, and 33 were included in our meta-analysis. HCV infection is associated with an increased risk of T2DM independently from the severity of the associated liver disease, in CHC and cirrhotic HCV patients. As expected T2DM risk is higher in cirrhotic HCV patients, than CHC, and the prevalence of HCV infection in T2DM patients is higher than in non-diabetic controls. Regarding HBV infection prevalence, no difference exists in diabetic and non-diabetic subjects. An unequivocal CHC and T2DM association was shown. A proactive, integrated approach to HCV and T2DM therapies should maximize benefits of both diseases treatment.

Hepatitis C Virus Infection at Primary Healthcare Level in Abha City, Southwestern Saudi Arabia: Is Type 2 Diabetes Mellitus an Associated Factor?

Background: There is an increasing concern about the relation between hepatitis C virus infection (HCV) and type 2 diabetes mellitus (T2DM). The present study aims to determine the prevalence of HCV infection among T2DM patients and non-diabetic patients attending primary healthcare centers (PHCCs) in Abha city, southwestern Saudi Arabia, and to explore the possible association between T2DM and HCV infection. Methods: A cross-sectional study targeting a random sample of T2DM and non-diabetic patients attending PHCCs in Abha City was conducted. Patients were interviewed using a structured questionnaire and screened for HCV infection using fourth-generation ELISA kits. All positive cases were confirmed by qualitative RT-PCR immune assay. Results: The study revealed an overall seroprevalence of HCV infection of 5% (95% CI: 2.9–7.9%). Among T2DM and non-diabetics, a seroprevalence of 8.0% and 2.0% was found, respectively. Using multivariable regression analysis, the only significant associated factor for HCV infection was T2DM (aOR = 4.185, 95% CI: 1.074–16.305). Conclusions: There is strong positive association between T2DM and HCV infection. Yet, the direction of relationship is difficult to establish. Patients with T2DM have higher prevalence of HCV infection than non-diabetic group. It is highly recommended for primary health care providers to screen for HCV infection among T2DM patients and to increase the level of HCV awareness among them.

Study on the relationship between insulin growth factor 1 and liver fibrosis in patients with chronic hepatitis C with type 2 diabetes mellitus

OBJECTIVE

To investigate the correlation between serum protein level of insulin growth factor 1 (IGF-1) and the degree of liver fibrosis in patients with chronic hepatitis C (CHC) combined with type 2 diabetes mellitus (T2DM).

METHODS

The cases are divided into four groups. Then serum levels of IFG-1, alanine aminotransferase (ALT), aspartate aminotransferase (AST), hepatitis C virus (HCV) RNA, and HCV genotypes were detected simultaneously in patients with hepatitis C, liver stiffness measurement (LSM) was measured by transient elastography, and aspartate aminotransferase platelet ratio (APRI) score was determined.

RESULTS

There was no significant difference between CHC with T2DM group and CHC group in diabetes family history (P > 0.05), but the difference between the two groups were significantly lower than that of T2DM group ( P < 0.05). The levels of fasting insulin and homeostatic model assessment of insulin resistance (HOMA-IR) in CHC group with T2DM group were significantly higher than those in the other two groups ( P < 0.05), while the IGF-1 RNA and the serum protein level in the two groups were significantly lower than those in the CHC group, and were lower than those in the control group ( P < 0.05). The level of serum IGF-1 was negatively correlated with HOMA-IR, LSM, and APRI score in CHC with T2DM group ( r = -0.71, -0.75, and -0.69; P < 0.01).

CONCLUSION

The degree of hepatic fibrosis in patients with CHC combined with T2DM was higher than that in non-T2DM patients with CHC, which was mainly related to insulin resistance (IR) induced by 1b genotype HCV infection. IR can lead to impaired synthesis of IGF-1, and the degree of damage has a corresponding relationship with hepatic fibrosis.

Data mining of routine laboratory tests can predict liver disease progression in Egyptian diabetic patients with hepatitis C virus (G4) infection: a cohort study of 71 806 patients

OBJECTIVES

Hepatitis C virus (HCV) and diabetes mellitus (DM) are prevalent diseases worldwide, associated with significant morbidity, mortality, and mutual association. The aims of this study were as follows: (i) find the prevalence of DM among 71 806 Egyptian patients with chronic HCV infection and its effect on liver disease progression and (ii) using data mining of routine tests to predict hepatic fibrosis in diabetic patients with HCV infection.

PATIENTS AND METHODS

A retrospective multicentered study included laboratory and histopathological data of 71 806 patients with HCV infection collected by Egyptian National Committee for control of viral hepatitis. Using data mining analysis, we constructed decision tree algorithm to assess predictors of fibrosis progression in diabetic patients with HCV.

RESULTS

Overall, 12 018 (16.8%) patients were diagnosed as having diabetes [6428: fasting blood glucose ≥126 mg/dl (9%) and 5590: fasting blood glucose ≥110-126 mg/dl (7.8%)]. DM was significantly associated with advanced age, high BMI and α-fetoprotein (AFP), and low platelets and serum albumin (P≤0.001). Advanced liver fibrosis (F3-F4) was significantly correlated with DM (P≤0.001) irrespective of age. Of 16 attributes, decision tree model for fibrosis showed AFP was most decisive with cutoff of 5.25 ng/ml as starting point of fibrosis. AFP level greater than cutoff in patients was the first important splitting attribute; age and platelet count were second important splitting attributes.

CONCLUSION

(i) Chronic HCV is significantly associated with DM (16.8%). (ii) Advanced age, high BMI and AFP, low platelets count and albumin show significant association with DM in HCV. (iii) AFP cutoff of 5.25 is a starting point of fibrosis development and integrated into mathematical model to predict development of liver fibrosis in diabetics with HCV (G4) infection.

Expert opinion on managing chronic HCV infection in patients with type 2 diabetes mellitus

Type 2 diabetes mellitus (T2DM) has been identified as an extrahepatic manifestation of chronic HCV infection. Conversely, in the context of chronic HCV infection, T2DM can accelerate the course of HCV-induced liver disease leading to increased risk of fibrosis, cirrhosis and hepatocellular carcinoma. The presence of T2DM negatively impacts the efficacy of interferon-based antiviral therapy, but real-world data with high-efficacy direct-acting antiviral therapies suggest high viral clearance rates in T2DM patients. In HCV-infected individuals, viral eradication is associated with a reduced risk of de novo T2DM in non-diabetic patients and beneficial metabolic changes in patients with T2DM, highlighting the importance of antiviral treatment and physician awareness of this association.

Forum for Injection Technique and Therapy Expert Recommendations, India: The Indian Recommendations for Best Practice in Insulin Injection Technique, 2017

Health-care professionals in India frequently manage injection or infusion therapies in persons with diabetes (PWD). Patients taking insulin should know the importance of proper needle size, correct injection process, complication avoidance, and all other aspects of injection technique from the first visit onward. To assist health-care practitioners in their clinical practice, Forum for Injection Technique and Therapy Expert Recommendations, India, has updated the practical advice and made it more comprehensive evidence-based best practice information. Adherence to these updated recommendations, learning, and translating them into clinical practice should lead to effective therapies, improved outcomes, and lower costs for PWD.

Type 2 Diabetes and Hepatocellular Carcinoma: Risk Factors and Pathogenesis

PURPOSE OF REVIEW

This review aims to assess the epidemiological evidence for a link between type 2 diabetes and hepatocellular carcinoma and to investigate possible pathophysiological mechanisms.

RECENT FINDINGS

The presence of type 2 diabetes significantly increases the risk of developing hepatocellular carcinoma, and treatment with metformin may be associated with a lower risk. Treatment with insulin and sulphonylureas may be associated with increased risk. The pathophysiology underlying development of hepatocellular carcinoma in this context is complex and is likely to involve increased proinflammatory mediators, oxidative stress, JNK-1 activation, increased IGF-1 activity, altered gut microbiota and immunomodulation. Hepatocellular carcinoma incidence is increasing and this is likely to be linked to the increasing incidence of type 2 diabetes, obesity and the metabolic syndrome. These conditions increase the risk of developing hepatocellular carcinoma, and a greater understanding of the underlying pathophysiology may help with the development of novel treatments.

Current level of evidence on causal association between hepatitis C virus and type 2 diabetes: A review

The association between hepatitis C virus (HCV) infection and type 2 diabetes (T2D) has been known for over 20 years. Cross-sectional and longitudinal studies have shown a higher prevalence and incidence, respectively, of T2D in patients with chronic HCV infection. HCV induces glucose metabolism alterations mostly interfering with the insulin signaling chain in hepatocytes, although extrahepatic mechanisms seem to contribute. Both IR and T2D accelerate the histological and clinical progression of chronic hepatitis C as well as the risk of extra-hepatic complications such as nephropathy, acute coronary events and ischemic stroke. Before the availability of direct-acting antivirals (DAAs), the therapeutic choice was limited to interferon (IFN)-based therapy, which reduced the incidence of the extra-hepatic manifestations but was burdened with several contraindications and poor tolerability. A better understanding of HCV-associated glucose metabolism derangements and their reversibility is expected with the use of DAAs.

Corydalis edulis Maxim. Promotes Insulin Secretion via the Activation of Protein Kinase Cs (PKCs) in Mice and Pancreatic β Cells

Corydalis edulis Maxim., a widely grown plant in China, had been proposed for the treatment for type 2 diabetes mellitus. In this study, we found that C. edulis extract (CE) is protective against diabetes in mice. The treatment of hyperglycemic and hyperlipidemic apolipoprotein E (ApoE)−/− mice with a high dose of CE reduced serum glucose by 28.84% and serum total cholesterol by 17.34% and increased insulin release. We also found that CE significantly enhanced insulin secretion in a glucose-independent manner in hamster pancreatic β cell (HIT-T15). Further investigation revealed that CE stimulated insulin exocytosis by a protein kinase C (PKC)-dependent signaling pathway and that CE selectively activated novel protein kinase Cs (nPKCs) and atypical PKCs (aPKCs) but not conventional PKCs (cPKCs) in HIT-T15 cells. To the best of our knowledge, our study is the first to identify the PKC pathway as a direct target and one of the major mechanisms underlying the antidiabetic effect of CE. Given the good insulinotropic effect of this herbal medicine, CE is a promising agent for the development of new drugs for treating diabetes.

Supplementing Conventional Treatment with Pycnogenol® May Improve Hepatitis C Virus-Associated Type 2 Diabetes: A Mini Review

Hepatitis C virus (HCV) infection and type 2 diabetes mellitus (T2DM) present a significant health burden, with increasing complications and mortality rates worldwide. Pycnogenol® (PYC), a natural product, possesses antidiabetic and antiviral properties that may improve HCV-associated T2DM. In this review, we present previously published data on the effectiveness of PYC against HCV replication and T2DM. We believe that supplementing conventional treatment with PYC may improve the current HCV therapy, attenuate HCV-associated T2DM, and reduce the risk of complications such as cirrhosis or hepatocellular carcinoma and cardiovascular disease.

Predicting disease onset in clinically healthy people

Virtually all human disease is induced by oxidative stress. Oxidative stress, which is caused by toxic environmental exposure, the presence of disease, lifestyle choices, stress, chronic inflammation or combinations of these, is responsible for most disease. Oxidative stress from all sources is additive and it is the total oxidative stress from all sources that induces the onset of most disease. Oxidative stress leads to lipid peroxidation, which in turn produces Malondialdehyde. Serum malondialdehyde level is an additive parameter resulting from all sources of oxidative stress and, therefore, is a reliable indicator of total oxidative stress which can be used to predict the onset of disease in clinically asymptomatic individuals and to suggest the need for treatment that can prevent much human disease.

Hepatitis C Virus (HCV) Prevalence in Special Populations and Associated Risk Factors: A Report From a Tertiary Hospital

BACKGROUND

With the advent of highly effective anti-hepatitis C virus (HCV) drugs, efforts to identify infected cases, high-risk groups, and associated risk factors have become the focus of current control measures.

OBJECTIVES

To determine the prevalence of the HCV antibody among diabetics and patients with lymphoproliferative disorders (LPD) who presented to the outpatient clinics of a university hospital and its associated risk factors.

PATIENTS AND METHODS

Consecutively consenting patients who had been previously diagnosed with diabetes mellitus and LPD at the outpatient department of the Lagos State University teaching hospital were recruited. A case record form was used to extract their demographics and physical examination findings as well as any risk factors for HCV infection; blood was also drawn to run a serological assay for the HCV antibody. All data were collated and analyzed using the Statistical Package for the Social Sciences version 20. Student T-test, Chi square, and logistic regression were some of the inferential statistics used in addition to descriptive statistics.

RESULTS

In all, 438 patients (405 diabetics and 33 patients with LPD) were recruited. Their ages ranged from 17 - 87 years with a mean + Standard deviation of 59.61 + 11.859 years. The prevalence of hepatitis C among the diabetic subgroup was 0.7%, while the antibody was present in 9.1% of the LPD patients. The occurrence of the HCV antibody was, however, not significantly associated with age, sex, educational level, or marital status (P > 0.05). Having multiple sexual partners was identified as the only significant risk factor for hepatitis C (OR = 9.148; P = 0.017).

CONCLUSIONS

This survey suggested that a higher HCV prevalence exists in this population than is currently reported in the general population, and having sex with multiple partners was a risk factor for HCV infection.

Impact of HCV Infection on Diabetes Patients for the Risk of End-Stage Renal Failure

Both diabetes mellitus (DM) and hepatitis C virus infection (HCVI) are associated with chronic kidney disease (CKD). The aim of this study was to evaluate whether HCVI increases the risk of end-stage renal disease (ESRD) in patients with DM.The National Health Insurance Research database of Taiwan was used to conduct this study. After excluding patients with a prior history of CKD, all patients with a first diagnosis of DM from January 1, 2000 to December 31, 2002 were enrolled. The patients who also had HCVI were defined as index cases (HCV group, n = 9787). A comparison cohort at a 1:1 ratio of random incident patients with DM without HCVI matched by age, sex, age at the diagnosis of DM, duration between the diagnosis of DM and the index date, and various comorbidities through propensity score matching were recruited (non-HCV group, n = 9787). The patients were followed until December 31, 2011.The cumulative incidence rate of developing ESRD was significantly higher in the HCV(+) group than in the non-HCV group (P = 0.008). The incidence rate ratio (IRR) for the risk of ESRD was also significantly higher in the HCV(+) group (IRR: 1.44; 95% CI: 1.09-1.89) than in the non-HCV group, especially for those with a younger age (<50 years; IRR: 2.05; 95% CI: 1.22-3.45) and HCVI within 4 years after the diagnosis of DM (IRR: 1.85; 95% CI: 1.16-2.97). After adjusting for comorbidities in multivariate Cox proportional hazard regression analysis, HCVI (HR: 1.47; 95% CI: 1.11-1.93) was an independent factor for developing ESRD in the patients with DM. After starting dialysis for ESRD, the HCV(+) patients had a similar mortality rate to those without HCVI (P = 0.84).HCVI increases the risk of developing ESRD in patients with DM, especially in younger patients and in those who develop HCVI sooner after a diagnosis of DM.

Diabetes and Hepatitis C: A Two-Way Association

Diabetes and hepatitis C infection are both prevalent diseases worldwide, and are associated with increased morbidity and mortality. Most studies, but not all, have shown that patients with chronic hepatitis C are more prone to develop type 2 diabetes (T2D) compared to healthy controls, as well as when compared to patients with other liver diseases, including hepatitis B. Furthermore, epidemiological studies have revealed that patients with T2D may also be at higher risk for worse outcomes of their hepatitis C infection, including reduced rate of sustained virological response, progression to fibrosis and cirrhosis, and higher risk for development of hepatocellular carcinoma. Moreover, hepatitis C infection and mainly its treatment, interferon α, can trigger the development of type 1 diabetes. In this review, we discuss the existing data on this two-way association between diabetes and hepatitis C infection with emphasis on possible mechanisms. It remains to be determined whether the new curative therapies for chronic hepatitis C will improve outcomes in diabetic hepatitis C patients, and conversely whether treatment with Metformin will reduce complications from hepatitis C virus infection. We propose an algorithm for diabetes screening and follow-up in hepatitis C patients.