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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Dig Dis Sci. Author manuscript; available in PMC 2014 April 1.
Published in final edited form as:
PMCID: PMC3566265
NIHMSID: NIHMS416554

Insulin Sensitivity and Variability in Hepatitis C Virus Infection Using Direct Measurement

Abstract

Background & Aims

Studies investigating insulin resistance (IR) in chronic hepatitis C virus (HCV) infection have used surrogate measures of IR that have limited reliability. We aimed to describe the distribution and risk factors associated with IR and its change over time in HCV using direct measurement.

Methods

One hundred and two non-cirrhotic, non-diabetic, HCV-infected subjects underwent clinical, histologic, and metabolic evaluation, and 27 completed repeat evaluation at 6 months. Insulin-mediated glucose uptake was measured by steady-state plasma glucose (SSPG) concentration during the insulin suppression test.

Results

Three subjects with diabetes were excluded and 95 completed all testing. SSPG ranged from 39 to 328 mg/dL (mean 135 mg/dL) and was stable over time (mean SSPG change -0.3 mg/dL). SSPG was associated with Latino ethnicity (Coef 67, 95%CI 37-96), BMI (Coef 19 per 5 kg/m2, 95%CI 5-32), ferritin (Coef 1.4 per 10 ng/ml, 95%CI 0.2-2.5), male gender (Coef -48, 95%CI -80 to -16), and HDL (Coef -16, 95%CI -28 to -5 mg/dL). Current tobacco use (Coef 55, 95%CI 19-90), steatosis (Coef -44, 95%CI -86 to -3), and increases in BMI (Coef 30 per 5 kg/m2, 95%CI 6-53) and triglyceride (Coef 3.5 per 10 mg/dL, 95%CI 0.3-6.7) predicted change in SSPG.

Conclusions

There was a wide spectrum of insulin resistance in our HCV population. Host factors, rather than viral factors, appeared to more greatly influence insulin action and its change in HCV.

Keywords: Diabetes, HCV, Insulin Resistance, Oral Glucose Tolerance Test

Chronic hepatitis C virus (HCV) infection represents a significant public health burden, affecting approximately 4 million Americans.(1) Over the past decade, the findings of several large epidemiologic studies linking HCV with type 2 diabetes mellitus has generated great interest in understanding the pathophysiologic mechanisms underlying this association. To date, a clear cause-and-effect relationship has yet to be established, and our understanding of the role of insulin resistance (IR) in the natural history of HCV infection remains limited.

Peripheral IR, a decrease in insulin-mediated glucose disposal, is thought to represent the earliest derangement in glucose metabolism preceding the onset of diabetes.(2) There is a spectrum of insulin sensitivity in the general population, and high degrees of IR are associated with deleterious health consequences, including an increased risk for cardiovascular disease and cancer among others.(3, 4) An increased prevalence of IR has been reported in HCV, and although HCV was shown to be independently associated with IR, the spectrum of insulin sensitivity in the HCV population has yet to be clearly described.(5-9) Evaluation of IR in the HCV population is critical as it has been suggested to promote fibrosis progression(10), decrease responsiveness to interferon-based antiviral therapy(7), and contribute to poor outcomes following liver transplantation.(11)

However, the vast majority of studies evaluating IR in HCV have utilized surrogate estimates of IR, as opposed to direct quantification of insulin-mediated glucose uptake. Indeed, we have shown that surrogate measures of IR, when correlated to the direct measure of insulin-medicated glucose disposal, can be impacted by degrees of obesity and ethnicity.(12) For example, the most commonly used surrogate measure of IR in HCV studies, the Homeostasis Model Assessment (HOMA-IR), has a high misclassification rate and significant within-person variability in the HCV population, and similar limitations have been observed with its use in other populations.(12, 13) Although surrogate measures are practical in large epidemiologic studies, more precise measures of IR are required to adequately describe insulin sensitivity in the HCV population. The validated hyperinsulinemic-euglycemic clamp and insulin suppression test (IST) are considered gold standards for direct physiologic measurement of IR and are highly correlated (r>0.9).(14) Recently, small studies utilizing the hyperinsulinemiceuglycemic clamp have shown impairment of peripheral insulin resistance in the setting of HCV infection.(15, 16) Moreover, a recent study employing direct assessment of insulin sensitivity by measurement of steady state plasma glucose concentration (SSPG) during IST demonstrated that treatment of HCV infection reduces insulin resistance.(17)

The goal of this prospective study was to build upon these findings by performing a comprehensive evaluation of IR using direct quantification of resistance to insulin-mediated glucose uptake in the peripheral tissues (mainly muscle) using the IST in the largest cohort of non-diabetic, non-cirrhotic HCV subjects described to date. Our specific aims were to: (i) describe the frequency and distribution of insulin resistance in HCV-infected patients and (ii) determine host and viral factors associated with insulin action and identify those factors predictive of its change over time in the HCV population.

MATERIALS AND METHODS

Study Subjects

One hundred and two non-diabetic patients with chronic HCV infection (detectable HCV viral load) between ages 18-60 were recruited from San Francisco General Hospital (SFGH) and affiliated clinics at the University of California, San Francisco (UCSF) from 2002-2009. Patients with diabetes on the basis of a fasting plasma glucose ≥ 126 mg/dl at screening(18), a history of diabetes, or use of anti-diabetic agents were excluded. Additional exclusion criteria included presence of HBV or HIV infection, liver disease other than HCV, prior HCV treatment, steroid or anabolic therapy, or medical conditions influencing study participation. Patients with clinical, histologic, or known diagnosis of cirrhosis or decompensated liver disease were excluded from the study given the significant alterations in glucose metabolism known to occur in the setting of cirrhosis.(19, 20) This study was approved by the UCSF Committee on Human Research and subjects provided written informed consent.

Study Procedures

Subjects underwent a medical interview, physical examination, fasting laboratory evaluation, and a liver biopsy at screening. Histologic evaluation was performed by a pathologist blinded to the patient's metabolic profile using the Ludwig-Batts scoring system.(21) Subjects were admitted to the UCSF Clinical and Translational Science Institute-Clinical Research Center (CRC) for study tests.

Metabolic Testing

At baseline, patients underwent a two-day inpatient hospital admission. On day one, a 75-g oral glucose tolerance test (OGTT) was performed after an overnight 12-hour fast. On day two, following another overnight 12-hour fast, each subject underwent the modified 240-minute IST.(12, 22) During this test, new glucose production is inhibited, and similar plasma levels of exogenous insulin are reached in all patients. The steady-state plasma glucose (SSPG) concentration as the result of an identical glucose infusion rate in all patients is a direct measure of insulin-mediated glucose uptake. Higher SSPG levels represent higher degrees of IR. As there is a spectrum of insulin sensitivity in the population, there are no single absolute cutoff values to define IR versus insulin sensitivity. In this study, IR was operationally defined as SSPG >180 mg/L(13), a value that has been shown to significantly increase the risk of developing clinical syndromes associated with IR in prospective studies of healthy, non-diabetic populations.(3, 4) All patients who remained anti-HCV treatment naïve were contacted to return at six months follow-up for a repeat comprehensive evaluation as outlined above. Liver enzymes and HCV viral load were measured within one month of metabolic testing in all subjects.

Laboratory Evaluation

Plasma glucose concentrations were measured by the glucose oxidase method (YSI 2300 STAT-Plus Analyzer, Yellow Springs, OH). Plasma insulin was measured using a single antibody radioimmunoassay without cross reactivity with human proinsulin (Millipore, Billerica, MA).

Statistical Analyses

Descriptive analyses were summarized using mean±SD, median (range), and frequency. Univariable and multivariable stepwise forward selection linear regression modeling was used to evaluate host and viral predictors associated with higher SSPG levels at baseline and change in SSPG from baseline. Statistical significance was assessed at a p-value <0.05 (2-sided) in all models. Similar logistic regression models were used for the outcome of insulin resistance (SSPG>180 mg/L). All analyses were performed using SAS v9.1.3 (SAS Institute, Cary, NC).

RESULTS

Cohort Characteristics

One hundred-two HCV-infected subjects were enrolled. Three subjects with diabetes based on a 2-hour plasma glucose ≥200 mg/dL during the baseline OGTT were subsequently excluded, and 95 subjects completed all baseline metabolic testing. Overall, subjects had a mean age of 48 years, 71% were male, mean BMI was 27 kg/m2, 44% self-identified as Caucasian, 43% had a family history of diabetes, and 25% reported current alcohol consumption. The mean duration of HCV infection was estimated at 26 years, and 77% had a history of intravenous drug use as the mode of HCV acquisition. The mean HCV viral load was 5.8±0.7 log IU/mL, 69% were genotype 1, and mean ALT was 93 units/L. Liver biopsy was available in 77 (82%) subjects; 45 (56%) subjects had mild liver fibrosis and 28 (35%) subjects had evidence of steatosis on histology and 24 (86%) of subjects with steatosis had mild steatosis (grade 1).

Twenty-five percent of subjects were insulin-resistant (SSPG>180 mg/dl). In comparing insulin-resistant to insulin-sensitive patients (Table 1), a higher proportion of insulin-resistant subjects were female (42 vs. 22%) and of Latino ethnicity (54 vs. 20%). Insulin-resistant subjects had higher BMI (29 vs. 26 kg/m2) and rates of family history of diabetes (58 vs. 41%) and metabolic syndrome (42% vs. 9%), but lower levels of tobacco consumption (12 vs. 18 pack-years) and HDL cholesterol (46 vs. 52 mg/dL) compared to insulin-sensitive subjects. Insulin-resistant subjects also had significantly higher levels of fasting glucose (mean 97±11 vs. 91±9 mg/dL), fasting insulin (mean 24±11 vs. 13±5 μIU/mL) and, as expected, baseline SSPG levels (mean 248±40 vs. 99±39 mg/dL). Insulin-resistant patients had higher degrees of inflammation (76 vs. 58%), fibrosis (59 vs. 40%), and steatosis (53 vs. 30%) on liver histology, but these findings did not reach statistical significance. HCV-related factors, including HCV viral load, genotype, and duration of infection were similar among the two groups.

Table 1
Comparison of Insulin Sensitivity States

Distribution and Variability of Insulin Sensitivity

In evaluating the distribution of insulin sensitivity, the mean baseline SSPG was 135 mg/dL, ranging broadly from 39 to 328 mg/dL (Figure 1). Twenty-seven of the 72 patients who remained anti-HCV treatment-naïve agreed to undergo follow-up metabolic evaluation at 6-months. The mean SSPG at the second visit was 127 mg/dL, ranging from 35 to 321 mg/dL. Overall, there was little change in insulin sensitivity over time (mean change in SSPG of -0.3, 95%CI -18.8 to 18.3 mg/dL, p=0.98) (Figure 2).

Figure 1
Distribution of Insulin Resistance (SSPG) Among HCV Subjects
Figure 2
Change in SSPG Levels Over Time

Influence of Host and Viral Factors on Insulin Sensitivity

On univariable analysis, higher levels of SSPG were associated with Latino (Coef 67, 95%CI 32-102) and African-American (Coef 39, 95%CI -2 to 80) race/ethnicity, increasing BMI (Coef 31 per 5 kg/m2, 95%CI 16-47) and waist circumference (Coef 12, 95%CI 5-20 cm), and the presence of steatosis on liver biopsy (Coef 36, 95%CI 1-71) (Table 2). On the other hand, higher education level (Coef -44, 95%CI -72 to -16) and current tobacco consumption (Coef -33, 95%CI -64 to -2) were associated with lower SSPG levels. Although they did not reach statistical significance, SSPG levels were also positively associated with a family history of diabetes, HCV genotype 3 (vs. 1), and higher degrees of inflammation and fibrosis on liver histology, but negatively associated with male sex and current alcohol use.

Table 2
Univariate Factors Associated with SSPG

On multivariable regression analysis, independent predictors of higher SSPG were Latino race/ethnicity (vs. Caucasians, Coef 67, 95%CI 37-96), increasing BMI (Coef 19 per 5 kg/m2, 95%CI 5-32), and increasing ferritin levels (Coef 1.4 per 10 ng/mL, 95%CI 0.2-2.5) (Table 3). Male gender (Coef -48, 95%CI -80 to -16) and higher HDL levels (Coef -16, 95%CI -28 to -5 mg/dL) were negatively associated with SSPG. Adjusting for age or family history of diabetes did not significantly alter the coefficients. The estimated effect of HCV viral factors, including HCV genotype 1 (vs. non-1, Coef -11, 95%CI -41 to 19), HCV duration of infection (Coef -7.1 per 10 years, 95%CI -19.0 to 4.7), and HCV viral load (Coef -6.6 per 1 log10IU/mL, 95%CI -24.4 to 11.2) were all too small to be important and were not statistically significant.

Table 3
Multivariate Analysis of Factors Associated with SSPG and Insulin Resistance

When using the cutoff of SSPG>180 mg/dL, on univariable analysis, Latino race/ethnicity (vs. Caucasian, OR 6.7, 95%CI 2.0-22.2, p=0.0019) and higher BMI (OR 1.7 per 5 kg/m2, 95%CI 1.0-2.9, p=0.036) were found to be significantly associated with IR. In addition, male gender (OR 0.41, 95%CI 0.15-1.09, p=0.074) and HDL levels (OR 0.65 per 10 mg/dL, 95%CI 0.43-1.0, p=0.050) were negatively associated with IR, and the presence of steatosis (OR 2.6, 95%CI 0.9-7.9, p=0.086) was associated with a nearly three-fold increased odds of IR, though these findings did not reach statistical significance. On multivariable analysis, IR was positively associated with African American and Latino race/ethnicity and BMI, and negatively associated with male sex and higher HDL levels (Table 3). Adjusting for age and family history of diabetes did not substantially alter the observed odds ratios.

Predictors of Change in SSPG Over 6 Months

When evaluating the impact of baseline factors on change in SSPG levels over 6 months, univariable analysis showed that higher baseline inflammation (grade ≥2) on liver biopsy (vs <2, Coef 73, 95%CI 2-145, p=0.045) was associated with an increase in SSPG over time, whereas Latino race/ethnicity (Coef -66, 95%CI -121 to -10, p=0.021) and the presence of steatosis on liver biopsy (Coef -31, 95%CI -66 to 4, p=0.087) at baseline were associated with a decrease in SSPG over time. On multivariable analysis, when controlling for the presence of IR at baseline, current tobacco use (Coef 55, 95%CI 19-90, p=0.0025) and presence of steatosis (Coef -44, 95%CI -86 to -3, p=0.038) were independently associated with a change in SSPG. Controlling for age or family history of diabetes did not cause a substantial change in the coefficients.

When evaluating the impact of changes in patient characteristics and serologic studies on change in SSPG, increases in AST levels (Coef 2.5 per 10 units/L, 95%CI 0.6-4.5, p=0.01), LDL levels (Coef 6.4 per 10 mg/dL, 95%CI 0.7-12.1, p=0.029), and BMI (Coef 21 per 5 kg/m2, 95%CI 3-46, p=0.092) from baseline were associated with increases in SSPG over time. When controlling for the presence of IR at baseline, increases in BMI (Coef 30 per 5 kg/m2, 95%CI 6-53 kg/m2, p=0.015) and TG levels (Coef 3.5 per 10 mg/dL, 95%CI 0.3-6.7, p=0.034) were associated with an increase in SSPG over time.

DISCUSSION

This study describes the largest cohort of HCV-infected individuals to undergo comprehensive metabolic evaluation including direct measurement of IR to date. In this non-diabetic and non-cirrhotic HCV cohort, there was a wide distribution of insulin sensitivity, and overall, the degree of peripheral IR remained stable on follow-up evaluation. IR was positively associated with Latino race/ethnicity, increasing BMI, and increasing serum ferritin levels and negatively associated with male gender and higher HDL levels. Viral factors including HCV viral load and genotype did not appear to influence IR significantly. Previous studies have demonstrated an association between HCV infection and IR. Experiments have shown that HCV interacts directly with various components of the insulin signaling pathway or its regulatory factors in the liver. In particular, HCV has been reported to reduce insulin-mediated phosphorylation of insulin receptor substrate (IRS)-1 and Akt (23, 24), as well as degrade IRS-1 and IRS-2 by up-regulating suppressor of cytokine signaling 3 (SOCS3).(25) Additional studies have implicated HCV as a mediator of insulin resistance in peripheral tissues (16), with treatment of HCV reducing muscle insulin resistance.(17) Although these experimental data suggest a direct effect of HCV on glucose metabolism, the findings of the current study indicate that host factors play a more prominent role than viral factors in the development of peripheral insulin resistance in the HCV population.

We have shown that similar to the general population, there is a wide spectrum of peripheral insulin sensitivity in the HCV population. Approximately 25% of study subjects had levels of peripheral IR shown to be associated with negative clinical sequelae in the general population. This rate is lower than those observed in studies of HCV-infected non-diabetic patients with similar patient selection criteria that utilized the surrogate measurement of IR, HOMA-IR, with reported rates ranging from 32 to 54%.(9, 26, 27) The difference in observed rates is likely due to use of low HOMA-IR cut-off values (mainly >2 or >3) to define insulin resistance that have been shown to have high misclassification rates, as well as the limited reliability of this surrogate estimate that can be influenced by degrees of obesity and ethnicity.(12, 13) The three prior studies to date utilizing the hyperinsulinemic-euglycemic clamp did not specifically assess the distribution of insulin resistance in the HCV population and were limited by small sample sizes and a lack of heterogeneity with respect to gender and race/ethnicity.(15, 16, 28)

The complex interplay between host and viral factors underlying the development of IR in HCV is poorly understood. With respect to host factors, Latinos and African Americans are known to be at increased risk for diabetes(29), and these racial/ethnic groups were associated with IR in HCV. In addition, similar to other HCV studies, increasing age, higher BMI, lower HDL levels, and the presence of metabolic syndrome were positively associated with IR.(9, 27) Interestingly, although generally there is a higher prevalence of diabetes among males(30), in this study, female gender was associated with higher IR. It is possible that varying muscle mass and levels of physical activity may account for these gender differences, though these were not assessed. Higher serum ferritin levels also predicted IR. Higher ferritin levels have been shown to correlate positively with IR and the presence of diabetes in patients with HCV.(31-33) The proposed potential pathophysiological mechanisms underlying this finding include interference with insulin inhibition of hepatic gluconeogenesis, defective hepatic uptake/metabolism of insulin with resultant hyperinsulinemia, and iron-induced oxidative stress with resultant hepatic inflammation.(31-33)

Previously reported HCV-related factors associated with IR include HCV viral load, genotype, and higher degrees of steatosis and fibrosis on histologic evaluation of the liver.(9, 27) The viral factors examined here, including HCV duration of infection, viral load, and genotype, did not appear to have much impact on IR, with small estimates that were in the biologically implausible direction. Evidence against any substantial impact, however, was not strong for genotype 1, because the confidence interval extended to a potentially important 19-point increase. Overall, these findings suggest that host factors, rather than viral factors, may play a greater role in the development of IR in this population.

Importantly, this study assessed baseline factors influencing changes in IR over time. Consistent with studies in the general population(34), average insulin sensitivity remained stable over 6 months in this HCV cohort. We found that active tobacco consumption at baseline and increases in BMI and triglyceride levels predicted an increase in IR. On the other hand, the presence of steatosis at baseline was negatively associated with change in IR. It is unclear why steatosis predicted decreases in IR over time, although most patients in this study had mild degrees of steatosis. However, cigarette smoking(35) and increasing BMI(36) are known to increase IR, and the association between triglyceride levels, a component of metabolic syndrome, and IR has been clearly demonstrated in prior studies.(37) Proposed mechanisms for a decrease in insulin sensitivity with cigarette smoking include increases in circulating levels of insulin-antagonistic hormones (such as catecholamines and cortisol) and free fatty acids by induction of lipolysis.(38) Furthermore, nicotine and other metabolites drived from smoking may also play a role in the development of insulin resistance.(38)

This study contributes significantly to our understanding of peripheral IR in HCV, including factors associated with IR and its change on follow-up testing. The main goal of this study was to accurately describe the distribution of IR in HCV, and as such, a control group of HCV-uninfected individuals were not included. Although a larger sample size may provide additional insight, performing direct measurements of insulin sensitivity is logistically challenging and impractical in larger patient cohorts. In addition, evaluation of the natural history of IR in HCV requires a longer follow-up period, but this may not be feasible given the current availability of effective HCV anti-viral therapy and the challenge of controlling for the confounding effect of worsening liver disease itself on insulin action.

In summary, there was a wide distribution of IR in our HCV population, and approximately 25% of HCV-infected patients were significantly insulin-resistant. Host factors, rather than viral factors, appeared to more greatly influence insulin action and its change in HCV. Therefore, interventions directed towards addressing modifiable risk factors for IR are critical to the prevention of diabetes in this population.

Acknowledgments

Financial Support: This work was supported by National Institute of Health Grant numbers R01 DK074673 (M.K.), UL1 RR024131 (NIH/NCRR UCSF-CTSI), P30 DK026743 (UCSF Liver Center), and the American Diabetes Foundation Grant number 1-08-CR-30 (M.K.).

Abbreviations

ALT
alanine aminotransferase
AST
aspartate aminotransferase
BMI
body mass index
HCV
hepatitis C virus
HDL
high-density lipoprotein cholesterol
HOMA-IR
homeostasis model assessment of insulin resistance
IR
insulin resistance
IST
insulin suppression test
LDL
low-density lipoprotein cholesterol
OGTT
oral glucose tolerance test
SSPG
steady-state plasma glucose determined by the insulin suppression test
TG
triglyceride

Footnotes

Disclosures: There are no conflicts of interest.

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