The link between hepatitis C virus and diabetes mellitus: Improvement in insulin resistance after eradication of hepatitis C virus

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.

Novel graph-based machine-learning technique for viral infectious diseases: application to influenza and hepatitis diseases

BACKGROUND

Most infectious diseases are caused by viruses, fungi, bacteria and parasites. Their ability to easily infect humans and trigger large-scale epidemics makes them a public health concern. Methods for early detection of these diseases have been developed; however, they are hindered by the absence of a unified, interoperable and reusable model. This study seeks to create a holistic and real-time model for swift, preliminary detection of infectious diseases using symptoms and additional clinical data.

MATERIALS AND METHODS

In this study, we present a medical knowledge graph (MKG) that leverages multiple data sources to analyse connections between different nodes. Medical ontologies were used to enhance the MKG. We applied various graph algorithms to extract key features. The performance of multiple machine-learning (ML) techniques for influenza and hepatitis detection was assessed, selecting multi-layer perceptron (MLP) and random forest (RF) models due to their superior outcomes. The hyperparameters of both graph-based ML models were automatically fine-tuned.

RESULTS

Both the graph-based MLP and RF models showcased the least loss and error rates, along with the most specific, accurate recall, precision and F1 scores. Their Matthews correlation coefficients were also optimal. When compared with existing ML techniques and findings from the literature, these graph-based ML models manifested superior detection accuracy.

CONCLUSIONS

The graph-based MLP and RF models effectively diagnosed influenza and hepatitis, respectively. This underlines the potential of graph data science in enhancing ML model performance and uncovering concealed relationships in the MKG.

Seroprevalence and associated risk factors of hepatitis C infection among diabetic patients in South-Kivu, Eastern Democratic Republic of the Congo: A cross-sectional study

Background and Aims

Hepatitis C virus (HCV) infection and diabetes mellitus (DM) are two frequent diseases in the Democratic Republic of the Congo (DRC) and several studies seem to show a link between the two diseases worldwide. However, no study has evaluated this link in our country. The present study aimed at determining the seroprevalence of HCV in diabetic patients as well as associated risk factors.

Methodology

A multicenter cross-sectional study allowed us to sample diabetic patients in two diabetic healthcare centers of Bukavu city in the eastern part of the DRC, from December 2020 to December 2022. A questionnaire was submitted to the diabetic patients to collect sociodemographic data, anamnestic data on risk factors for HCV infection, and clinical data on DM. These factors were analyzed based on anti-HCV serological results.

Results

Among the 180 selected patients, 19 (10.6%) were tested positive for anti-HCV antibodies. After multivariate analysis, the identified factors influencing these outcomes were male sex (adjusted odds ratio [aOR]: 3.5, p = 0.027), dental extraction (aOR: 7.6, p = 0.001), and living in a privileged environment (aOR: 0.29, p = 0.03). The factors related to DM such as the type, the disease duration, or the usual type of treatment did not influence the serological results.

Conclusion

This study shows that HCV seroprevalence in diabetic patients is very high compared with the general population. This suggests combined screening and management policies in this population.

Impact of diabetes, obesity, and dyslipidemia on the risk of hepatocellular carcinoma in patients with chronic liver diseases

Despite the increasing prevalence of metabolic disorders, the potential effects of metabolic factors on hepatocellular carcinoma (HCC) development in individuals with chronic liver diseases (CLDs) are not well understood. For a metabolic factor to be identified as a risk factor for HCC in patients with CLDs, such as hepatitis B virus (HBV) and hepatitis C virus (HCV) infection, there should be a strong synergistic interaction between the carcinogenic mechanisms of the metabolic factor and the CLD itself. This review aims to comprehensively summarize the published data on the relationship between metabolic factors such as diabetes mellitus (DM), obesity, and blood lipids and the risk of HCC in patients with CLDs. DM consistently increases the risk of HCC in patients with CLD. When associated with DM, the risk of HCC seems to be highest in HCV and non-alcoholic fatty liver disease (NAFLD), followed by alcoholic liver disease (ALD) and HBV. Obesity may increase the risk of HCC. Among CLDs, the evidence is relatively consistent and clear for ALD, while clear evidence is limited in other CLDs including HBV, HCV, and NAFLD. Total cholesterol, potentially low-density lipoprotein cholesterol and triglyceride, seems to have strong inverse associations with HCC in individuals with CLDs. Despite evidence from observational studies, statins had no effect in preventing HCC in randomized controlled trials. Whether statins have a preventive effect against HCC is unclear. A better understanding and management of metabolic factors may be beneficial to reduce the risk of HCC in patients with CLDs.

Impact of direct-acting antiviral regimens on hepatic and extrahepatic manifestations of hepatitis C virus infection

Hepatitis C virus (HCV) is a common cause of liver disease and is associated with various extrahepatic manifestations (EHMs). This mini-review outlines the currently available treatments for HCV infection and their prognostic effect on hepatic manifestations and EHMs. Direct-acting antiviral (DAA) regimens are considered pan-genotypic as they achieve a sustained virological response (SVR) > 85% after 12 wk through all the major HCV genotypes, with high percentages of SVR even in advanced fibrosis and cirrhosis. The risk factors for DAA failure include old males, cirrhosis, and the presence of resistance-associated substitutions (RAS) in the region targeted by the received DAAs. The effectiveness of DAA regimens is reduced in HCV genotype 3 with baseline RAS like A30K, Y93H, and P53del. Moreover, the European Association for the Study of the Liver recommended the identification of baseline RAS for HCV genotype 1a. The higher rate of hepatocellular carcinoma (HCC) after DAA therapy may be related to the fact that DAA regimens are offered to patients with advanced liver fibrosis and cirrhosis, where interferon was contraindicated to those patients. The change in the growth of pre-existing subclinical, undetectable HCC upon DAA treatment might be also a cause. Furthermore, after DAA therapy, the T cell-dependent immune response is much weaker upon HCV clearance, and the down-regulation of TNF-α or the elevated neutrophil to lymphocyte ratio might increase the risk of HCC. DAAs can result in reactivation of hepatitis B virus (HBV) in HCV co-infected patients. DAAs are effective in treating HCV-associated mixed cryoglobulinemia, with clinical and immunological responses, and have rapid and high effectiveness in thrombocytopenia. DAAs improve insulin resistance in 90% of patients, increase glomerular filtration rate, and decrease proteinuria, hematuria and articular manifestations. HCV clearance by DAAs allows a significant improvement in atherosclerosis and metabolic and immunological conditions, with a reduction of major cardiovascular events. They also improve physical function, fatigue, cognitive impairment, and quality of life. Early therapeutic approach with DAAs is recommended as it cure many of the EHMs that are still in a reversible stage and can prevent others that can develop due to delayed treatment.

Increased Insulin Resistance in Hepatitis-C Infection-Association with Altered Hepatic Function Testing

Introduction: Hepatitis C virus (HCV) infection is a serious global public health problem. It is estimated that 2% to 3% of the world’s population is infected with the virus. It was found that chronic hepatitis C is an independent predictor of the development of type 2 diabetes mellitus. Infection with HCV or the inflammatory response to HCV infection likely contributes to the development of insulin resistance (IR), which increases the risk of developing type 2 diabetes in the long term. This study aimed to assess the insulin resistance in hepatitis C and its correlation with various metabolic parameters. Materials and Methods: This cross-sectional observational study was conducted at a tertiary care hospital in North India in the Department of Internal Medicine with hepatitis C-positive patients attending an out-patient or in-patient department. We took a total of 100 patients aged > 18 years and divided them into two groups: Group A with hepatitis C (cases) and Group B without hepatitis C (controls). There were a total of 50 hepatitis C patients and 50 patients without hepatitis C. Results: A total of 100 patients were included in the present study after obtaining informed consent. There was a significantly higher level of serum ferritin and insulin in group A patients than group B patients. There was a positive correlation of insulin resistance with the serum insulin, ferritin levels, cholesterol, LDL and triglyceride level and a negative correlation with the serum HDL level. The incidence of insulin resistance was positively correlated with changes in fibrosis in the liver due to the hepatitis C infection. Conclusions: From our study, we found that there is an increased incidence of insulin resistance in the patients with hepatitis-C infection, and insulin resistance is associated with the presence of altered hepatic function test results.

Late presentation for HCV care: Time to target people with diabetes and/or hazardous alcohol use (ANRS CO22 HEPATHER cohort)

BACKGROUND AND AIMS

Late presentation for care of hepatitis C virus (HCV) infection - defined as having severe liver fibrosis when first consulting a specialist for HCV care - increases morbidity and mortality. Identifying the socio-behavioural correlates of late presentation is essential to improve HCV strategies to optimize HCV cascade of care. We investigated clinical and socio-behavioural correlates of late presentation for care in HCV mono-infected individuals.

METHODS

This study included chronic HCV mono-infected patients participating in the French national cohort ANRS CO22 HEPATHER, starting in 2012. The correlates of late presentation were estimated using a Heckman probit selection model, which takes into account the possible selection bias because of missing data in the outcome.

RESULTS

Among the 9174 study patients, 1236 had available data on liver fibrosis stage at first presentation for HCV care. Of these, 591 (47.8%) were late presenters. In a multivariable analysis adjusted for age, sex and HCV genotype, having diabetes (adjusted coefficient [95% confidence interval]: 0.55 [0.30; 0.80]), current hazardous alcohol use (0.36 [0.03; 0.69]) and current abstinence but past hazardous alcohol use (0.42 [0.19; 0.64]) (vs. current abstinence and no past hazardous use) were all independently associated with late presentation for HCV care.

CONCLUSIONS

As late presentation severely affects HCV cascade of care, our findings bring important new evidence about the need to promptly identify and target people with diabetes and/or past or current hazardous alcohol use for HCV screening and treatment within the wider context of the WHO goal to eliminate HCV by 2030.

Anti-diabetics and antimicrobials: Harmony of mutual interplay

Diabetes is one of the four major non-communicable diseases, and appointed by the world health organization as the seventh leading cause of death worldwide. The scientists have turned over every rock in the corners of medical sciences in order to come up with better understanding and hence more effective treatments of diabetes. The continuous research on the subject has elucidated the role of immune disorders and inflammation as definitive factors in the trajectory of diabetes, assuring that blood glucose adjustments would result in a relief in the systemic stress leading to minimizing inflammation. On a parallel basis, microbial infections usually take advantage of immunity disorders and propagate creating a pro-inflammatory environment, all of which can be reversed by antimicrobial treatment. Standing at the crossroads between diabetes, immunity and infection, we aim in this review at projecting the interplay between immunity and diabetes, shedding the light on the overlapping playgrounds for the activity of some antimicrobial and anti-diabetic agents. Furthermore, we focused on the anti-diabetic drugs that can confer antimicrobial or anti-virulence activities.

Impact of HCV infection and ethnicity on incident type 2 diabetes: findings from a large population-based cohort in British Columbia

INTRODUCTION

Increasing evidence indicates that chronic hepatitis C virus (HCV) infection is associated with higher risk of diabetes. Previous studies showed ethnic disparities in the disease burden of diabetes, with increased risk in Asian population. We described the incidence of type 2 diabetes related to HCV infection and assessed the concurrent impact of HCV infection and ethnicity on the risk of diabetes.

RESEARCH DESIGN AND METHODS

In British Columbia Hepatitis Testers Cohort, individuals were followed from HCV diagnosis to the earliest of (1) incident type 2 diabetes, (2) death or (3) end of the study (December 31, 2015). Study population included 847 021 people. Diabetes incidence rates in people with and without HCV were computed. Propensity scores (PS) analysis was used to assess the impact of HCV infection on newly acquired diabetes. PS-matched dataset included 117 184 people. We used Fine and Gray multivariable subdistributional hazards models to assess the effect of HCV and ethnicity on diabetes while adjusting for confounders and competing risks.

RESULTS

Diabetes incidence rates were higher among people with HCV infection than those without. The highest diabetes incidence rate was in South Asians with HCV (14.7/1000 person-years, 95% CI 12.87 to 16.78). Compared with Others, South Asians with and without HCV and East Asians with HCV had a greater risk of diabetes. In the multivariable stratified analysis, HCV infection was associated with increased diabetes risk in all subgroups: East Asians, adjusted HR (aHR) 3.07 (95% CI 2.43 to 3.88); South Asians, aHR 2.62 (95% CI 2.10 to 3.26); and Others, aHR 2.28 (95% CI 2.15 to 2.42).

CONCLUSIONS

In a large population-based linked administrative health data, HCV infection was associated with higher diabetes risk, with a greater relative impact in East Asians. South Asians had the highest risk of diabetes. These findings highlight the need for care and screening for HCV-related chronic diseases such as type 2 diabetes among people affected by HCV.

Genome-wide methylation profiling of HCV pathogenesis to develop diabetes and diabetic complications

HCV is key pathological factor for inducting insulin resistance. Such HCV-induced insulin resistance is linked with metabolic syndrome, type 2 diabetes mellitus, extrahepatic manifestations, hepatic fibrosis progression and development of hepatocellular carcinoma. DNA methylation alterations can cause developmental abnormalities, tumours and other diseases. In our study, PBMCs were isolated and genomic DNA was extracted. DNA fragmentation was achieved by sonication to 200-400 bp; subsequently, end repair and adenylation was performed. Manufacturer's guidelines were followed to ligate Cytosine-methylated barcodes to sonicated DNA. EZ DNA Methylation-GoldTM Kit was then employed to treat these DNA segments twice with bisulphite. A Library was maintained, sequenced on an Illumina platform and 150/125 bp paired-end reads generated. GO seq R package was used to perform Gene Ontology (GO) enrichment analysis for genes linked to DMRs and DMPs; gene length bias was corrected. We identified 12 945 significant hypermethylated DMRs among all samples that were screened as those with at least 0.1 methylation level differences and P-value less than 0.05. Fisher's exact test with FDR multiple test correction is used for identification of DMPs and DMRs. High throughput bisulphite sequencing (Illumina) was carried out, and bioinformatics analysis was performed to analyse methylation status. Gene ontology (GO) and KEGG pathway enrichment analysis showed differentially methylated regions enriched in various pathways that include PI3K-AKT/IRS1 signalling pathway, metabolic pathway, oxidative phosphorylation, Renin-angiotensin system that are all involved in developing type-2 diabetes (T2D). Our study provides supporting evidence for significant involvement of HCV infection in development of epigenetic modifications in regulation of metabolic disorders like T2D and its complications.

Effect of eradication of HCV infection by direct-acting antivirals in diabetic HCV-infected patients as regards glycemic control

Background

A burden of data suggests that insulin signaling could be impaired with hepatitis C virus infection, and this boost the onset of type 2 diabetes mellitus beyond and in addition to the histological effect on the associated liver disease. We aimed to evaluate the hemoglobin A1c (HbA1c) levels before and after therapy with direct-acting antivirals (DAAs) in HCV-diabetic patients who achieved sustained virological response (SVR) at Aswan Fever Hospital. This prospective study was conducted at the Viral Hepatitis Treatment Center, Aswan Fever Hospital, Aswan, Egypt, between November 2017 and May 2018. A total of 85 randomly selected diabetic patients (type 2 diabetes mellitus) with chronic HCV infection were received sofosbuvir and daclatasvir as a dual therapy for 3 months, then followed up for week 12 after the end of DAA therapy, Changes in the levels of hemoglobin A1c (HbA1c) were measured at baseline then 12 weeks after the end of treatment with DAAs.

Results

Thirty-two patients (37.6%) showed a significant glycemic improvement after receiving DAAs therapy; in the form of > 1% reduction in HbA1c level (p value < 0.001). Their baseline mean HbA1c level was 7.98 ± 0.62% which was significantly improved 12 weeks after the end of therapy (SVR) to reach a level of 6.88 ± 0.81%. Meanwhile, 53 patients (62.4%) had a baseline mean HbA1c of 8.24 ± 0.64% and a post-treatment mean HbA1c level of 8.34 ± 0.61% (p value = 0.083).

Conclusion

DAAs-based eradication of HCV is associated with improved glycemic control in 37.6% of patients with diabetes as evidenced by a significant reduction of mean HbA1c.

REPLACING INSULIN WITH ANTI-VIRALS: A CLINICAL VIGNETTE ON DIABETES AND HCV TREATMENT

Objective

There is growing evidence to support a connection between type 2 diabetes mellitus (T2DM) and chronic hepatitis C virus (HCV). Patients with hepatitis C have a substantially higher risk for developing type 2 diabetes and recently there have been several proposed mechanisms. Several retrospective studies have demonstrated a small but significant improvement in glycemic control after treatment of underlying hepatitis C virus. We describe a case that demonstrates the greatest recorded improvement in glycemic control after treatment of HCV in the setting of self-discontinuation of insulin therapy without behavioral modification.

Methods

A 38-year-old obese female with uncontrolled T2DM (hemoglobin A1c [HbA1c] of 11.6% [103 mmol/mol]) was temporarily lost to follow-up and reported nonadherence to insulin therapy, metformin therapy, diet, or exercise. During this time, she was successfully treated for hepatitis C and became euglycemic without other interventions.

Results

The patient's HbA1c decreased from 11.6 to 5.7% (103 to 39 mmol/mol) in the presence of weight gain and in the absence of any intervention other than hepatitis C treatment.

Conclusion

Hepatitis C treatment may offer significant potential for improving insulin sensitivity and decreasing long-term complications of type 2 diabetes in certain patients. Universal treatment of HCV could offer benefits in both hepatic and extrahepatic clinical outcomes.

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.

Management of Diabetes Mellitus in Patients with Chronic Liver Diseases

Diabetes mellitus (DM) is a common chronic disease affecting humans globally. During the last few years, the incidence of diabetes has increased and has received more attention. In addition to growing DM populations, DM complications are involving injuries to more organs, such as the heart and cerebral vessel damage. DM complications can reduce quality of life and shorten life spans and eventually also impede social and economic development. Therefore, effective measures to curb the occurrence and development of diabetes assist in improving patients' quality of life, delay the progression of DM in the population, and ease a social burden. The liver is regarded as an important link in the management and control of DM, including the alleviation of glucose metabolism and lipid metabolism and others via glucose storage and endogenous glucose generation from glycogen stored in the liver. Liver cirrhosis is a very common chronic disease, which often lowers the quality of life and decreases life expectancy. According to a growing body of research, diabetes shows a close correlation with hepatitis, liver cirrhosis, and liver cancer. Moreover, coexistence of liver complications would accelerate the deterioration of patients with diabetes. Liver cirrhosis and diabetes influence each other. Thus, in addition to pharmacological treatments and lifestyle interventions, effective control of cirrhosis might assist in a better management of diabetes. When it comes to different etiologies of liver cirrhosis, different therapeutic methods, such as antiviral treatment, may be more effective. Effective control of cirrhosis might be a strategy for better management of diabetes.