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World Journal of Gastroenterology logoLink to World Journal of Gastroenterology
. 2017 Mar 7;23(9):1697–1711. doi: 10.3748/wjg.v23.i9.1697

Diabetes mellitus, insulin resistance and hepatitis C virus infection: A contemporary review

Anne-Claire Desbois 1,2,3,4, Patrice Cacoub 1,2,3,4
PMCID: PMC5340821  PMID: 28321170

Abstract

AIM

To summarise the literature data on hepatitis C virus (HCV)-infected patients concerning the prevalence of glucose abnormalities and associated risk.

METHODS

We conducted a PubMed search and selected all studies found with the key words "HCV" or "hepatitis C virus" and "diabetes" or "insulin resistance". We included only comparative studies written in English or in French, published from January 2000 to April 2015. We collected the literature data on HCV-infected patients concerning the prevalence of glucose abnormalities [diabetes mellitus (DM) and insulin resistance (IR)] and associated risk [i.e., severe liver fibrosis, response to antivirals, and the occurrence of hepatocellular carcinoma (HCC)].

RESULTS

HCV infection is significantly associated with DM/IR compared with healthy volunteers and patients with hepatitis B virus infection. Glucose abnormalities were associated with advanced liver fibrosis, lack of sustained virologic response to interferon alfa-based treatment and with a higher risk of HCC development. As new antiviral therapies may offer a cure for HCV infection, such data should be taken into account, from a therapeutic and preventive point of view, for liver and non-liver consequences of HCV disease. The efficacy of antidiabetic treatment in improving the response to antiviral treatment and in decreasing the risk of HCC has been reported by some studies but not by others. Thus, the effects of glucose abnormalities correction in reducing liver events need further studies.

CONCLUSION

Glucose abnormalities are strongly associated with HCV infection and show a negative impact on the main liver related outcomes.

Keywords: Hepatitis C virus, Diabetes mellitus, Insulin resistance, Liver fibrosis, Treatment


Core tip: hepatitis C virus (HCV) infection is associated with increased rates of glucose abnormalities, including diabetes mellitus and insulin resistance. The presence of glucose abnormalities in HCV infected patients, including diabetes mellitus and insulin resistance, is associated with negative liver-related outcomes (i.e., severe liver fibrosis, decreased response to antivirals, and increased occurrence of hepatocellular carcinoma).

INTRODUCTION

Hepatitis C virus (HCV) infection is a major health problem. The World Health Organization (WHO) estimates that at least 150-170 million people, approximately 3% of the world's population, are chronically infected. These patients are known to be at risk of liver related complications, i.e., cirrhosis and hepatocellular carcinoma (HCC), with an estimated liver-related mortality of 350000 people/year. The total risks of morbidity and mortality are underestimated, because they do not take into account extrahepatic consequences of HCV infection. Numerous extrahepatic manifestations have been reported, suggesting that HCV is more a systemic disease than just a liver disorder. In large prospective cohort studies, up to two-thirds of patients with HCV infection experienced extra-hepatic manifestations[1]. The majority of available data concern HCV-related autoimmune and/or lymphoproliferative disorders, from benign mixed cryoglobulinemia to frank lymphomas, which is consistent with HCV lymphotropism[2]. More recently, other HCV-associated disorders have been reported including cardiovascular, renal, central nervous system and metabolic diseases[3]. Among the latter, some studies assessed the risk of diabetes mellitus (DM) or insulin resistance (IR) while others evaluated the impact of DM/IR on the main liver-related HCV infection outcomes (i.e., liver fibrosis, cirrhosis, HCC). However, the results appear to be conflicting, with great heterogeneity between studies.

In the present study, based on a literature data review, we aimed to analyse: (1) the risk of glucose abnormalities (GA) in HCV-infected patients; and (2) the impact of GA on the main liver-related HCV outcomes, i.e., liver fibrosis, response to interferon alfa-based treatment, and HCC.

MATERIALS AND METHODS

We conducted a PubMed search and selected all studies found with the key words "HCV" or "hepatitis C virus" and "diabetes" or "insulin resistance". We included only comparative studies written in English or in French, published from January 2000 to April 2015. We selected surveys that had evaluated the risk of Type 2 DM or IR in HCV-infected patients compared with healthy controls or with patients with hepatitis B virus (HBV) infection. The definition of DM was usually based on a fasting plasma glucose > 1.26 g/L, or a history of diabetes mellitus, or use of oral antidiabetic agents or insulin. The definition of IR was based on the Homeostasis Model Assessment for Insulin Resistance (HOMA-IR) according to the formula: HOMA-IR = fasting glucose (mmol/L) × fasting insulin (mIU/L)/22.5. We also included studies that assessed the association between the presence of glucose abnormalities (DM or IR) and the main HCV infection outcomes (i.e., liver fibrosis, cirrhosis, response to antiviral treatment, HCC). Conversely, studies that evaluated the impact of antiviral treatment on glucose abnormalities were included. We excluded studies with patients infected with the HBV or human immunodeficiency virus, and those for whom the entire manuscript was not available.

RESULTS

Is HCV infection associated with an increased prevalence of glucose abnormalities?

We included two types of studies: (1) those that assessed the HCV prevalence in diabetic patients compared with non-diabetics; and (2) studies that assessed the prevalence of DM and/or IR in HCV-infected patients compared with controls (healthy volunteers or HBV carriers) (Table 1).

Table 1.

Glucose abnormalities and hepatitis C virus infection

Ref. Year Country Study design Patients Patients number Controls Controls number Testing for HCV Ab or RNA Endpoint Statistical methods Association Statistics
HCV infection markers in patients with type 2 diabetes mellitus
Sangiorgio et al[4] 2000 Italy Retrospective DM 1514 HV 1300 Ab HCV Univariate Yes P < 0.0001
Chen et al[5] 2006 Taiwan Cross sectional DM 820 HV 905 Ab HCV Univariate adjusted Yes OR = 2.87 [1.51, 5.46]; P < 0.001
Huang et al[6] 2007 Taiwan Cross sectional DM 1237 HV 8595 RNA HCV Univariate Yes 6.9% vs 4.5%; P < 0.001
Jadoon et al[7] 2010 Pakistan ND DM 3000 HV 10000 Ab HCV Univariate Yes OR = 3.03 [2.64, 3.48]; P = 0.001
Balogun et al[53] 2006 Nigeria case-control DM 90 HV2 90 Ab HCV Univariate No NS
Costa et al[54] 2008 Brazil Case-control DM 206 HV 206 RNA HCV Multivariate No NS
Glucose abnormalities in HCV infected patients vs different control groups
Vs healthy volunteers
Knobler et al[17] 2000 Israel Case-control HCV 45 HV2 88 RNA DM Univariate Yes 33% vs 5.6%; P < 0.001
Mehta et al[8] 2000 United States Cross sectional HCV 230 HV 9611 Ab DM Multivariate Yes OR = 3.77 [1.8, 7.87]
Marzouk et al[18] 2007 Egypt Cross sectional HCV 190 HV 575 RNA DM Multivariate Yes HR = 3.05 [1.19, 7.81]
Shaheen et al[19] 2007 United States ND HCV 239 HV 10144 ND IR Univariate adjusted Yes OR = 1.68; P = 0.02
Huang et al[6] 2007 Taiwan Cross sectional HCV 478 HV2 7927 RNA DM Multivariate Yes OR = 1.53 [1.18, 1.98]; P <0.001
Huang et al[21] 2008 Taiwan ND HCV 683 HV2 515 RNA DM/IGT1 Univariate Yes OR = 3.51 [2.7, 4.56]; P < 0.001
Park et al[20] 2008 South Korea Prospective HCV1 62 HV2 172 RNA IR Univariate Yes 22.5% vs 5.2%; P < 0.001
Mohamed et al[22] 2009 Egypt Cross sectional HCV1 38 HV2 12 RNA IR Univariate Yes HOMA-IR = 3.98 (normal ALT) and 2.69 (a normal ALT) vs 1.92; P < 0.001
Duseja et al[23] 2009 India ND HCV1 85 HV2 25 RNA IR Univariate Yes 62% vs 16%; P = 0.0002
Lonardo et al[24] 2009 Italy ND HCV1 97 HV 182 RNA IR Univariate Yes P < 0.001
Huang et al[25] 2009 Taiwan ND HCV1 93 HV 144 Ab IR Univariate Yes HOMA-IR 2.2 vs 1.6; P = 0.02
Mostafa et al[26] 2010 Egypt ND HCV 329 HV 173/795 RNA DM Univariate adjusted Yes OR = 1.35 [1.06, 1.73]; P = 0.02
Miyajima et al[27] 2013 Japan Cross sectional HCV 40 HV 1780/88 RNA IR Univariate Yes HOMA-IR 3.0 vs 1.3; P < 0.001
Younossi et al[28] 2013 United States Retrospective HCV 177 HV 19568 RNA DM and IR Multivariate Yes OR for DM 2.3 [1.18, 4.54] OR for IR 2.06 [1.19, 3.57]
Pothineni et al[29] 2014 United States Retrospective HCV 1434 HV2 14799 RNA DM Univariate Yes 11.2% vs 5.1%; P < 0.01
Dai et al[30] 2013 Taiwan Retrospective HCV 160 HV2 480 RNA DM Multivariate Yes OR = 1.208 [1.009, 2.799]; P = 0.004
Mehta et al[10] 2003 United States Case-control HCV 12 HV2 1072 RNA DM Univariate No NS
Stepanova et al[11] 2012 United States Nationwide survey HCV 791 HV 38715 RNA DM and IR Multivariate No NS
Montenegro et al[9] 2013 Italy Prospective HCV 616 HV 1856 Ab DM Univariate adjusted No NS
Ruhl et al[55] 2014 United States Cross sectional HCV 277 HV 14571 RNA DM Univariate adjusted No NS
Vs hepatitis B virus infection
Knobler et al[17] 2000 Israel Case-control HCV 45 HBV 90 RNA DM Univariate Yes 33% vs 12%; P = 0.004
Ryu et al[31] 2001 South Korea Prospective HCV, F4 68 HBV 157 Ab DM Univariate Yes 24% vs 10.4%; P = 0.001
Wang et al[32] 2007 Taiwan Longitudinal HCV 926 HBV 544 Ab DM Multivariate Yes HR = 1.7
Huang et al[6] 2007 Taiwan Cross sectional HCV 478 HBV 1363 RNA DM Univariate Yes 18% vs 11.4%; P < 0.001
Moucari et al[33] 2008 France Retrospective HCV 500 HBV2 100 RNA HOMA-IR Univariate Yes 35% vs 5%; P < 0.001
White et al[12] 2008 United States Meta-analysis HCV 34 studies HBV/ HV - Ab/RNA DM Meta-analysis Yes Adjusted OR for HV 1.68 and for HBV 1.80
Rouabhia et al[34] 2010 Algeria Prospective cross sectional HCV1 290 HBV 126 RNA DM Multivariate Yes OR = 4.73 [1.7, 13.2]; P = 0.0029
Petta et al[56] 2011 Italy Retrospective HCV 170 HBV2 170 RNA HOMA-IR and DM Univariate Yes 42.2% vs 25.9%, P = 0.002 and 8.8% vs 3.6%, P = 0.04
Imazeki et al[57] 2008 Japan Retrospective HCV 544 HBV 286 RNA DM and IR Multivariate No NS
Tanaka et al[58] 2008 Japan Case-control HCV1 30 HBV2 30 RNA IR Multivariate No NS
Mavrogiannaki et al[59] 2008 Greece prospective case control HCV 108 HBV 81 RNA glucose intolerance Univariate adjusted No NS
Persico et al[60] 2009 Italy Retrospective HCV 726 HBV 126 Ab DM Univariate adjusted No NS
1

HCV infection not treated;

2

Matched for confounding factors (age and/or gender and/or BMI and/or ALT…). HCV: Hepatitis C virus infection; Ab: Antibody; HV: Healthy volunteers; G1: Genotype 1; SVR: Sustained virological response; HOMA-IR: Homeostasis Model Assessment of Insulin Resistance; IR: Insulin resistance; DM: Diabetes mellitus; FPG: Fasting plasma glucose; IGT: Impaired glucose tolerance [after oral glucose tolerance test (OGTT)]; CLD: Chronic liver disease; NAFLD: Non-alcoholic fatty liver disease; NS: Not significant; ND: Not determined.

Six studies evaluated HCV prevalence rates in diabetic patients compared with non-diabetic healthy volunteers. The number of participants ranged from 180 to 13000. Four out of the six studies showed a significant increased prevalence of HCV infection markers [HCV antibodies (n = 3), HCV RNA (n = 1)] in DM patients, with an odds ratio (OR) between 2.87 and 3.03[4-7]. Of note, only one study used multivariate logic regression analysis, while another adjusted the risk for age, gender, body mass index (BMI) and alanine aminotransferase (ALT) levels. One study showed an increased HCV antibody prevalence rate in DM patients with abnormal ALT levels.

Thirty-two studies evaluated DM and/or IR prevalence rates in HCV patients compared with either healthy volunteers (n = 20) or HBV patients (n = 12). The size of cohorts ranged from 50 to 39506 subjects. All but four studies assessed DM/IR prevalence in HCV-RNA positive patients. In 10 out of 20 studies that compared HCV patients with healthy volunteers, multivariate or univariate analyses with adjustment for age, gender, BMI, socio-economic status and ethnicity were performed. Thirteen studies evaluated DM prevalence (n = 11) or occurrence (n = 2), while others (n = 9) assessed IR in HCV infected patients. Overall, 16 out of 20 studies found a significant association between the presence of glucose abnormalities (DM/IR) and HCV infection, including 7 out of 10 studies with multivariate or adjusted analyses (OR between 1.2 and 3.77). One study reported a higher risk of DM only in patients older than 40 years[8]. Four studies reported "negative" results. Three out these four studies showed a higher risk of DM only in specific populations (i.e., HCV patients with increased ALT levels[9], HCV patients older than 55 years with a BMI > 25 kg/m2[10], and a cohort studied between 1988 and 1994, but not in the more recent cohort)[11].

When compared with HBV infected patients, 7 out of 11 studies found a significant association of HCV with DM. In one meta-analysis[12], a positive HCV viremia was associated with an increased risk of DM compared with controls (adjusted OR = 1.68) and with HBV patients (adjusted OR = 1.80).

Are diabetes mellitus or insulin resistance associated with liver fibrosis severity in HCV infected patients?

Thirty studies investigated whether DM/IR was associated with liver fibrosis severity in HCV patients (Table 2). Studies were performed in Asia (Taiwan n = 3, Japan n = 3, other n = 1), Europe (n = 13), the United States and Australia (n = 5), Saudi Arabia (n = 1), Turkey (n = 1) and Egypt (n = 3). The mean size of the cohorts was 451 patients (min-max range 10 to 3068). The authors searched for an association between liver fibrosis severity and DM (n = 9), IR (n = 19) or impaired fasting plasma glucose (n = 2). All but two studies performed multivariate analyses. Twenty-six out of thirty studies reported a significant association of glucose abnormalities with liver fibrosis severity (OR from 1.28 to 13.72). Three of the four "negative" studies were done on small cohorts. There were some differences related to HCV genotypes, but no systematic relationship was found.

Table 2.

Glucose abnormalities and severe liver fibrosis in hepatitis C virus-infected patients

Ref. Year Country Number of HCV patients Patient profile Glucose abnormality Statistical method Association with severe fibrosis1 Genotypes Statistics
Konrad et al[42] 2000 Germany 10 Non DM FPG Multivariate Yes All P = 0.01
Sud et al[61] 2004 Australia 170 - HOMA-IR Multivariate Yes All OR = 1.47 [1.14, 1.89]; P = 0.003
Muzzi et al[62] 2005 Switzerland 221 Non DM HOMA-IR Multivariate Yes All (except G3) OR = 1.57 [1.04, 2.39]
D'souza et al[63] 2005 United Kingdom 59 - HOMA-IR Multivariate Yes All P = 0.001
Taura et al[64] 2006 Japan 83 - HOMA-IR Multivariate Yes All OR = 7.32 [1.59, 33.73]; P = 0.01
Leandro et al[65] 2006 Italy 3068 - DM Multivariate Yes G1 OR = 4.52 [1.07, 19.1]; P = 0.011
Bugianesi et al[66] 2006 Italy 132 G3 with steatosis HOMA-IR Multivariate Yes G3 OR = 2.98 [1.13, 7.89]; P = 0.028
Kita et al[67] 2007 Japan 68 Post tranfusion hepatitis DM Multivariate Yes All OR = 8.4 [2.23, 31.54]; P = 0.002
Petta et al[68] 2008 Italy 201 G1 DM Multivariate Yes G1 OR = 2.69 [1.46, 4.95]; P < 0.001
Moucari et al[33] 2008 France 500 - HOMA-IR Multivariate Yes All OR = 1.8 [1.16, 2.81]; P = 0.009
Cua et al[69] 2008 Australia 346 G1, G3, untreated IR Multivariate Yes G3 OR = 3.15 [1.56, 6.35]; P = 0.001
Hsu et al[70] 2009 Taiwan 528 G1, G2 FPG Multivariate Yes G1 OR = 13.72 [2.15, 87.7]; P < 0.05
Moucari et al[71] 2009 France 226 G4 HOMA-IR Multivariate Yes G4 OR = 3.86 [1.859, 8.034]; P < 0.001
Persico et al[60] 2009 Italy 726 - DM Multivariate Yes All P < 0.05
Hung et al[14] 2011 Taiwan 1470 - DM Univariate Yes All P < 0.001
Patel et al[72] 2011 Asia 263 G2, G3 HOMA-IR Multivariate Yes G2 and G3 OR = 8.42 [2.1, 34.3]; P = 0.003
Mohamed et al[73] 2011 Egypt 50 G4 HOMA-IR Multivariate Yes G4 OR = 3.73; P = 0.001
Miyaaki et al[74] 2011 Japan 171 - DM Multivariate Yes All OR = 8.739 [2.85, 26.85]; P = 0.0002
Conjeevaram et al[75] 2011 United States 341 G1 HOMA-IR Multivariate Yes G1 OR = 1.28 [1.07, 1.51]; P = 0.005
Petta et al[56] 2011 Italy 170 G1 HOMA-IR Multivariate Yes G1 OR = 2.64 [1.11, 6.28]; P = 0.02
Khattab et al[76] 2012 Egypt 107 G4 HOMA-IR Multivariate Yes G4 OR = 1.87 [1.09, 8.29]; P = 0.04
Ziada et al[77] 2012 Egypt 140 Non DM HOMA-IR Multivariate Yes All OR = 1.92 [0.97, 3.4]; P = 0.049
Thompson et al[13] 2012 United States 1038 Non DM HOMA-IR Multivariate Yes All OR = 1.6 [1.1, 2.33]; P = 0.02
Alfaleh et al[78] 2013 Saudi Arabia 157 - DM Multivariate Yes All (except G4) OR = 0.37 [0.148, 0.927]; P = 0.034
Dokmeci et al[79] 2014 Turkey 104 - HOMA-IR Multivariate Yes All OR = 3.36 [1.32, 31.25]; P = 0.021
Huang et al[80] 2015 Taiwan 1077 - DM Multivariate Yes All OR = 1.81 [1.14, 2.65]; P = 0.002
Fartoux et al[81] 2005 France 141 Non DM HOMA-IR Univariate No No NS
Elgouhari et al[82] 2008 United States 183 - DM Multivariate No No NS
Petta et al[83] 2009 Italy 156 Non DM HOMA-IR Multivariate No No NS
Rueger et al[84] 2014 Switzerland 1461 - DM Multivariate No No NS
1

Severe liver fibrosis: F3 or F4 in Metavir scoring system. HCV: Hepatitis C virus infection; G1: Genotype 1; SVR: Sustained virological response; HOMA-IR: Homeostasis Model Assessment of Insulin Resistance; IR: Insulin resistance; DM: Diabetes mellitus; FPG: Fasting plasma glucose; NS: Not significant.

Do diabetes mellitus and insulin resistance have an impact on the virological response to HCV treatment?

Twenty-six studies and three meta-analyses investigated whether GA had an impact on the response to interferon alfa-based antiviral treatment (Table 3). The studies originated from Europe (n = 11), Asia (n = 4), Egypt (n = 4), the United States (n = 5), Australia (n = 1) and Saudi Arabia (n = 1). They included a mean of 503 patients (50 to 5944). Nineteen out of twenty-eight studies showed a significant negative effect of GA in response to interferon alfa-based therapy [i.e., lower sustained viral response (SVR) rates], including 15 multivariate analyses and 3 meta-analyses. Of note, studies that did not find an impact of GA on SVR rates had some limitations, including small size of cohorts (60-600 patients), only G1 or G4 patients (3 out of 10 studies), and only Italian patients (4 out of 10). Two of them evaluated patients treated with peginterferon/ribavirin and telaprevir. The three meta-analyses found a significant association between IR and the absence of SVR, regardless of the genotype (OR for G1 = 2.2, G2 = 3, G3 = 4.45 and G4 = 6.7, respectively).

Table 3.

Impact of glucose abnormalities on virological response after interferon alpha based treatment

Ref. Year Country Patients number Patient profile Association Statistical method Impact on virological response Genotypes Statistics
D'souza et al[63] 2005 United Kingdom 59 HOMA-IR Multivariate Yes All OR of SVR: 0.44 [0.22, 0.88]; P = 0.02
Tarantino et al[85] 2005 Italy 80 GMI Univariate Yes All 40% vs 7.5%; P = 0.0009
Romero-Gomez et al[86] 2005 Spain 159 HOMA-IR Multivariate Yes All OR of SVR 0.55 [0.33, 0.93]; P = 0.012
Jian Wu et al[87] 2006 China 98 HOMA-IR Multivariate Yes All OR of SVR: 0.17; P = 0.015
Backus et al[88] 2007 United States 5944 G1, G2, G3 DM Multivariates Yes All and G1 OR = 0.76 [0.64, 0.71]; P = 0.002
Conjeevaram et al[89] 2007 United States 401 G1 HOMA-IR Multivariates Yes G1 OR = 0.87 [0.77, 0.99]; P = 0.028
Elgouhari et al[82] 2008 United States 183 DM Multivariate Yes All OR of SVR 0.22 [0.07, 0.55]; P = 0.003
Poustchi et al[90] 2008 Australia 82 G2, G3 non DM HOMA-IR Multivariate Yes G2, G3 OR of SVR 0.16 [0.03, 0.77]; P = 0.02
Romero-Gomez et al[91] 2008 Spain 1059 FPG Multivariate Yes All OR of SVR 0.56 [0.34, 0.93]; P < 0.02
Moucari et al[71] 2009 France 226 G4 HOMA-IR Multivariate Yes - OR of SVR: 0.19 [0.07, 0.51]; P = 0.001
Dai et al[92] 2009 Taiwan 330 G1, G2 HOMA-IR Multivariate Yes G1, G2 OR of SVR 0.872 [0.79, 097]; P = 0.01
Hung et al[115] 2010 Taiwan 1470 DM Multivariate Yes All OR of SVR 0.69 [0.5, 0.96]; P = 0.029
Khattab et al[93] 2010 Egypt 131 Non DM, G4 HOMA-IR Multivariate Yes G4 OR of SVR 0.07 [0.01, 0.43]; P = 0.004
Deltenre et al[94] 2011 France 2732 G1-6 IR Meta-analysis Yes All -
Eslam et al[95] 2011 2129 G1-6 IR Meta-analysis Yes All OR of SVR 0.35 [0.24, 0.51]; P = 0.0004
Del Campo et al[96] 2012 Spain 240 Non DM HOMA-IR Multivariate Yes G1, G4 OR of SVR 0.44 [0.17, 0.97]; P = 0.04
Ziada et al[77] 2012 Egypt 140 Non DM HOMA-IR Multivariate Yes All OR of SVR 0.41 [0.18, 0.9]; P = 0.003
Laurito et al[97] 2013 Brazil 2238 G1-6 IR Meta-analysis Yes All OR of SVR 0.41 [0.3, 0.56]; P = 0.022
Abd El-Wahab et al[98] 2014 Egypt 392 Non DM HOMA-IR Multivariate Yes All OR of virological response: 0.19 [0.1, 0.38]; P = 0.0001
Grasso et al[99] 2009 Italy 90 Non DM, G1 HOMA-IR Multivariate No G1 NS
Fattovich et al[100] 2010 Italy 412 HOMA-IR Multivariate No No NS
Khattab et al[76] 2012 Egypt 107 G4 HOMA-IR Multivariate No G4 NS
Brandman et al[101] 2012 United States 23 Non DM IGT, FGP, SSGP Univariate No No NS
Aghemo et al[102] 2012 Italy 339 HOMA-IR Univariate No No NS
Fattovich et al[100] 2012 Italy 124 Non DM HOMA-IR Multivariate No No NS
Serfaty et al[103] 2012 France 1611 G4 HOMA-IR Multivariate No G4 NS
Alfaleh et al[78] 2013 Saudi Arabia 157 DM Multivariate No No NS
Younossi et al[104] 2013 United States 5781 G1 HOMA-IR Univariate adjusted No G1 NS
Jung et al[105] 2014 Soutk Korea 60 HOMA-IR Univariate No No NS
1

Treated with peginterferon/ribavirin telaprevir. HCV: Hepatitis virus infection; G1: Genotype 1; SVR: Sustained virological response; HOMA-IR: Homeostasis Model Assessment of Insulin Resistance; IR: Insulin resistance; IGT: Impaired glucose tolerance; DM: Diabetes mellitus; FPG: Fasting plasma glucose; SSGP: Steady-state plasma glucose; GMI: Glucose metabolism impairment; NS: Not significant; ND: Not determined.

What is the impact of interferon alfa-based treatment on glucose abnormalities?

Twenty studies assessed the impact of interferon-based antiviral treatment on DM/IR, either as an improvement of GA after treatment or as the occurrence of GA after antiviral treatment (Table 4).

Table 4.

Glucose abnormalities after interferon alpha based treatment

Ref. Year Country Number of HCV patients Patient profile Glucose metabolism parameter Statistical method Significant association or difference Genotypes Statistics
Improvement of glucose abnormalities after HCV treatment
Konrad et al[42] 2000 United States 13 FPG and FI Univariate Yes All P < 0.05 and P < 0.01
Romero-Gomez et al[86] 2005 Spain 50 HOMA-IR Univariate Yes All In SVR; P < 0.05
Kawaguchi et al[106] 2007 Japan 89 HOMA-IR Univariate Yes All In SVR; P < 0.01
Chehadeh et al[107] 2009 Kuwait 181 G4 FPG Univariate Yes G4 In SVR; P < 0.001
Kim et al[108] 2009 Korea 28 G1, G2 HOMA-IR Multivariate Yes G1, G2 In SVR, OR of decreased IR 50 [3.74, 668.35]; P = 0.003
Conjeevaram et al[75] 2011 United States 341 G1 HOMA-IR Univariate Yes G1 In SVR; P < 0.001
Khattab et al[76] 2012 Egypt 107 G4, non cirrhotic HOMA-IR Univariate Yes G4 In SVR ; P = 0.001
Thompson et al[13] 2012 United States 1038 HOMA-IR Multivariate1 Yes All In G1 SVR; P = 0.007
Serfaty et al[103] 2012 France 161 G1, non cirrhotic HOMA-IR Univariate Yes G1 In SVR ; P < 0.05
Ziada et al[77] 2012 Egypt 140 Non DM, non cirrhotic HOMA-IR Univariate Yes All P = 0.009
Chan et al[109] 2013 Australia 86 Non DM HOMA-IR Univariate Yes All In SVR; P = 0.04
Jung et al[105] 2014 South Korea 60 HOMA-IR Univariate Yes All In SVR; P = 0.036
Mello et al[110] 2006 Brazil 30 G1, G3 HOMA-IR Univariate No All NS
Kawaguchi et al[111] 2009 Japan 72 Non DM, non cirrhotic HOMA-IR, SI and ISI Univariate1 No No HOMA-IR: NS In SVR, SI P = 0.002 and ISI P = 0.009
Brandman et al[101] 2012 United States 23 Non cirrhotic SSGP Univariate No No NS
Occurrence of glucose abnormalities after HCV treatment
Simó et al[112] 2006 Spain 234 Non DM DM or IGT Multivariate1 Yes All In SVR, OR = 0.48 [0.24, 0.48]; P = 0.04
Romero-Gomez et al[91] 2008 Spain 1059 DM or IGT Multivariate1 Yes All In SVR, OR = 0.44 [0.2, 0.97]; P = 0.04
Arase et al[113] 2009 Japan 2842 DM Multivariate1 Yes All In SVR, HR = 0.36 [0.24; 0.56]
Aghemo et al[102] 2012 Italy 339 Non DM HOMA-IR Multivariate1 Yes All In SVR, OR = 0.36 [0.18, 0.72]; P = 0.004
Giordanino et al[114] 2008 Italy 202 Non DM DM or IGT Multivariate1 No No NS
1

association with SVR. HCV: Hepatitis C virus infection; G1: Genotype 1; SVR: Sustained virological response; HOMA-IR: Homeostasis Model Assessment of Insulin Resistance; IR: Insulin resistance; DM: Diabetes mellitus; FPG: Fasting plasma glucose; FI: Fasting insulin; IGT: Impaired glucose tolerance; ISI: Insulin sensitivity index; SI: Serum insulin; SSGP: Steady-state plasma glucose; NS: Not significant.

Improvement of GA after antiviral treatment was analysed in fifteen surveys that included 13 to 1038 HCV treated patients. Most of these studies performed univariate analyses. A significant decreased prevalence of GA was noted in 12 out of 15 studies. Eleven of these 12 studies reported a significant change of IR only in patients who achieved a SVR. One survey found a significant change of IR after antiviral treatment only in genotype 1 patients[13].

Five studies evaluated the risk of GA occurrence according to antiviral treatment response. They included 202 to 2842 HCV treated patients, and all performed multivariate analyses. Four out of five studies showed a significant association between GA occurrence and the absence of SVR.

Do glucose abnormalities increase the risk of HCC in HCV infected patients?

Sixteen studies assessed the association between HCC and DM/IR in HCV infected patients (Table 5). These studies included from 120 to 5186 HCV patients, both treated and non-treated. Most of them (10/16) included Asian patients, and all but one performed multivariate analyses.

Table 5.

Glucose abnormalities and hepatocellular carcinoma in hepatitis C virus-infected patients

Ref. Year Country Patient number Patient profile Association Statistical method Association DM and HCC Statistics
Diabetes mellitus/insulin resistance in HCV-related HCC
K-Kutala et al[15] 2014 France 162 HCC, not treated for HCV DM and HCC Multivariate Yes3 HR = 3.13 [1.17, 8.38]; P = 0.0223
Hung et al[115] 2010 Taiwan 188 59 HCC; 129 non-HCC DM and HCC Multivariate Yes OR = 11.6 [2.500, 53.800]; P = 0.002
Hung et al[115] 2010 Taiwan 188 59 HCC; 129 non-HCC HOMA-IR and HCC Multivariate Yes OR = 2.0 [1.35, 3]; P = 0.001
Khattab et al[116] 2012 Egypt 294 147 HCC; 147 non-HCC HOMA-IR and HCC Multivariate Yes OR = 2.5 [1.7, 3.69]; P = 0.001
Mohamed et al[73] 2011 Egypt 100 50 HCC; 50 non-HCC; 20 non HCV HOMA-IR and HCC Univariate No NS
Diabetes mellitus/insulin resistance and development of HCC in HCV-infected patients
Chen et al[117] 2008 Taiwan 1095 - DM and HCC Multivariate Yes OR = 3.52 [1.29, 9.24]
Veldt et al[16] 2008 Europe 541 DM and HCC Multivariate Yes3 OR = 3.28 [1.35, 7.97]; P = 0.0093
Konishi et al[118] 2009 Japan 197 Non DM, treated for HCV DM1 and HCC Multivariate Yes HR = 4.63 [1.677, 12.766]; P = 0.003
Hung et al[14] 2010 Taiwan 1470 Treated for HCV DM and HCC Multivariate Yes2 HR = 4.32 [1.23, 15.25]; P = 0.0232
Nkontchou et al[119] 2010 France 248 Cirrhotics HOMA-IR and HCC Multivariate Yes HR = 1.10 [1.01, 1.21]; P = 0.026
Takahashi et al[120] 2011 Japan 203 Non DM, treated for HCV DM1 and HCC Multivariate Yes HR = 6.9 [1.7, 28.4]; P < 0.05
Arase et al[121] 2013 Japan 4302 Non treated for HCV DM and HCC Multivariate Yes HR = 1.73 [1.3, 2.3]; P < 0.001
Elkrief et al[45] 2014 France 348 Cirrhotics DM Multivariate Yes HR = 1.938 [1.129 , 3.328]; P = 0.016
Toyoda et al[122] 2015 Japan 522 Patients with SVR DM and HCC Multivariate Yes HR = 2.08 [1.0170, 4.0133]; P = 0.045
Lai et al[123] 2006 Taiwan 2141 - DM and HCC Multivariate No NS
Chen et al[124] 2013 Taiwan 5186 - DM and HCC Multivariate No NS
1

Association of abnormal post-challenge hyperglycaemia and HCC;

2

Only in SVR patients without cirrhosis;

3

Only in advanced liver fibrosis. HCV: Hepatitis virus infection; HCC: Hepatocellular carcinoma; SVR: Sustained virological response; HOMA-IR: Homeostasis Model Assessment of Insulin Resistance; IR: Insulin resistance; DM: Diabetes mellitus; NS: Not significant.

Five studies looked for the presence of DM/IR in HCV infected patients with HCC compared with HCV patients without HCC. Four out of five studies found a significant association between DM/IR and HCC (as compared with non-HCC) (OR from 2.0 to 11.6).

Nine out of eleven other studies found a significant association between the presence of DM/IR and the development of HCC in the follow-up of HCV infected patients (HR from 1.10 to 6.9). One study found a higher risk of HCC in diabetic patients only with SVR and without cirrhosis[14], while 2 others reported an increased risk of HCC only in diabetic patients with advanced fibrosis[15,16].

DISCUSSION

Many studies have evaluated the association between HCV chronic infection, insulin-resistance and diabetes mellitus. The abnormalities of carbohydrate metabolism, including hyperinsulinemia and IR, known to be per se related to chronic hepatic diseases, were the rationale for speculation on this relationship. Insulin-resistance is an often undetected condition, commonly coexisting with obesity and metabolic syndrome, and possibly progressing to type 2 diabetes. HCV-related type 2 diabetes mellitus may arise from a complex interaction between IR, steatosis and inflammatory processes. Epidemiologic studies supporting the association between type 2 diabetes and HCV infection were first published in the early 1990s. More recently, larger epidemiologic studies gave more in-depth analyses of the relationship between HCV chronic infection and glucose abnormalities and were included in the present analysis.

HCV infection is associated with increased rates of glucose abnormalities, including diabetes mellitus and insulin resistance

In the present analysis, most studies found a significant association between HCV infection (whether active HCV RNA positive, or not i.e., HCV Ab positive) and diabetes mellitus or insulin resistance. This tight association was confirmed in both directions by the increased rates of HCV infection markers in DM/IR patients and the high rates of glucose abnormalities in HCV infected patients. The consistency of this association was supported by the confirmation of such results compared with different control groups, such as healthy volunteers or HBV carriers[6,8,12,17-34]. The variability of HOMA-IR cut-offs used (between 1.8 and 2.5 generally) may explain the heterogeneous results reported in the literature. Confounding factors might have also led to significant bias. Indeed, some studies comparing HCV patients with healthy volunteers did not perform multivariate analysis or adjust for confounding factors. However, seven out of ten multivariate analyses found a significant increased risk of DM/IR in HCV patients (OR = 1.2-3.7), after adjusting for confounding variables such as age, gender, BMI, ethnicity and education level.

How are we able to explain the increased risk of DM in HCV infected patients? Some authors have suggested that diabetic patients might have been infected by HCV due to injections or nosocomial transmission. The association of HCV infection with IR and the widespread use of universal precautions nowadays in hospitals to avoid virus transmission probably disqualify this hypothesis. There are a variety of other possible mechanisms of increased risk of DM/IR in HCV patients. As shown in this study, glucose abnormalities in HCV patients are associated with liver fibrosis severity. Severe liver fibrosis and cirrhosis are well-known conditions that are able to induce glucose metabolism impairment. However, studies with other liver diseases, including cirrhosis, still showed an excess of risk in HCV patients compared with HBV patients[6,12,17,31-34]. The ability of HCV, particularly genotype 3 viruses, to induce liver steatosis on its own, which might in turn increase the risk of DM/IR, has also been suggested in previous studies[35,36]. Other underlying mechanisms may involve HCV per se. Experimental data suggest the role of inflammation. Increased HOMA-IR has been correlated with soluble Tumor Necrosis Factor Receptor1 (sTNFR1) and sTNFR2 levels[37]. Increased abnormal HOMA-IR was not associated with elevated serum levels of TNFα, IL6 and adiponectin in another study[38]. Other studies have also suggested an impairment of glucose uptake in HCV-infected patients. Glucose uptake and the surface expression of Glucose Transporters (GLUT1 and 2) were suppressed in cells infected by HCV compared with controls[39]. Interferon alfa restored glucose uptake, GLUT2 surface expression, mRNA expression and GLUT2 promoter activities. HCV has also been shown to impair glucose uptake and to promote IR by increasing suppressor of cytokine signalling 3 (SOC3), which inhibits insulin phosphorylation of AKT and phosphoinositide 3-kinase (PI3K)[40]. HCV may be involved in the regulation of phosphorylation of insulin receptor substrate 1 (ISR-1), implicated in the insulin pathway[41]. In HCV core transgenic mice, the viral protein was able to induce increasing TNFα levels in the liver, which in turn promoted the induction of IR. The high levels of TNFα inhibited the ISR-1, causing IR and its possible progression to diabetes. A decreased expression of ISR-1 and ISR-2 mediated by ubiquitination was observed and was inversely proportional to the liver fibrosis stage.

Interferon alfa use might lead to glucose metabolism impairment and is a potential bias. However, increased DM/IR rates have been also reported in HCV patients not taking interferon alfa[20,22-25,34]. Many studies found a decreased rate of glucose abnormalities in HCV patients who showed a SVR after interferon alfa-based therapy, and even in non virological responders in one study[42]. This strongly suggests a direct/indirect role of HCV on glucose metabolism impairment. As eradication of HCV seems to be effective in decreasing the occurrence rate of DM/IR, it will very be interesting to analyse the impact of new direct antiviral agents (DAAs) for preventing DM/IR and eventually cardiovascular disorders. Indeed, in a recent study, IFN-free antiviral regimen resulted in rapid changes in serum lipid profiles and intrahepatic expression of lipid-related genes in G1 patients[43].

Presence of glucose abnormalities in HCV infected patients, including diabetes mellitus and insulin resistance, is associated with negative liver-related outcomes

Severe liver fibrosis, the absence of SVR after interferon alfa-based treatment, and the development of HCC are the main negative outcomes of chronic HCV infection. Interestingly, the presence of DM or IR in HCV patients showed a pejorative impact on each of these end points. Most studies found an independent association of glucose abnormalities with advanced liver fibrosis, absence of SVR after antiviral treatment and HCC occurrence. Only few studies did not confirm such associations. This might be explained by the small size cohort of such studies, the heterogeneity of criteria for DM or HOMA-IR and the very high prevalence of other metabolic risk factors (such as elevated BMI) which may underestimates the impact of DM/IR. Our data is consistent with recent studies that demonstrated that DM increases cumulative incidence of decompensated cirrhosis[44]. In another recent survey, diabetes was independently associated with transplantation-free survival, development of ascites, renal dysfunction, bacterial infections, and HCC during the follow-up[45].

Experimental data suggest that increased insulin levels after hyperglycaemia leads to interferon signalling impairment. Insulin may inhibit the ability of interferon alfa to block HCV replication due to the activation of PI3K by insulin, thus leading to inhibition of STAT-1, which is involved in the interferon alfa pathway[40].

The impact of glucose abnormalities on virological response needs to be further evaluated with new DAA, interferon-free combinations. To date, there is very few data on the impact of GA on virological response to new DAA. Preliminary results suggest that the presence of diabetes does not appear to be predictive of treatment failure in G1 patients[46,47]. Further studies are needed to confirm these data and to evaluate the impact of DM on SVR in patients without poor prognostic factors.

Should glucose abnormalities be corrected to increase SVR rates?

A prospective study, including 155 HCV genotype 1 patients with IR, showed no difference in SVR rates after peginterferon alfa and ribavirin were given, regardless of whether or not patients had received pioglitazone, an antidiabetic drug[48]. Of note, most glycemic control indexes improved significantly in the pioglitazone group except for HbA1c. Another study found higher SVR rates in G4 patients treated with pioglitazone[49]. Pioglitazone may alter NK cell functions and thus impair clearance of infected hepatocytes[48]. A retrospective cohort from Taiwan (19349 diabetic patients, 1.7% HCV positive) showed that patients taking metformin and thiazolidinediones had the lowest risk of HCC (HR 0.49 and 0.56, respectively) after adjusting for age, gender and comorbidities[50]. Consistently, in a prospective cohort of 100 HCV patients with ongoing cirrhosis, metformin treatment was independently associated with a decrease of HCC occurrence and liver-related death or transplantation[51]. In a two-year prospective follow-up of 85 patients with HCV-related HCC, HCC recurrence-free survival was increased in diabetics taking pioglitazone vs non-treated diabetics (44.2% vs 36.5%, respectively, P = 0.37)[52]. A significant decrease in HCC recurrence was observed in the pioglitazone group for patients with a BMI > 24.

We acknowledge some limitations of this study. Although we tried to include all published studies, we may have missed others in non-English literature or data only presented at meetings. Some studies were done with a limited number of patients. For some studies included in the present analysis, it is possible that there are some remaining bias and residual confounding factors. Despite multivariate analyses, the association between glucose abnormalities improvement and improved outcome may have been influenced by unmeasured confounding factors. Such final confirmation should arise from controlled clinical trials with long-term follow-up.

In conclusion, HCV chronic infection is associated with an increased risk of DM or IR, by a likely direct effect on glucose metabolism. In such patients, DM and IR are associated with a pejorative liver-related prognosis, as shown by increased rates of severe liver fibrosis, HCC occurrence, and decreased SVR rates after interferon-based therapy. This tight relationship between DM/IR and HCV infection needs to be further analysed with new DAAs, interferon-free combinations, with special attention to improvement in glucose abnormalities and long-term follow-up.

COMMENTS

Background

During hepatitis C virus (HCV) infection, extra-hepatic disorders are very frequent and polymorphous. Studies that have evaluated the link between glucose metabolism impairment and HCV reported heterogeneous data.

Research frontiers

Further studies are needed to evaluate the impact of glucose abnormalities in patients treated with interferon-free antiviral therapies. The effects of correction of glucose abnormalities in reducing liver event rates also need to be further studied.

Innovations and breakthroughs

This systematic review allows clarifying the close relationship between glucose abnormalities, HCV infection and poor liver outcomes. HCV infection is associated with increased rates of glucose abnormalities, including diabetes mellitus and insulin resistance. The presence of glucose abnormalities in HCV infected patients, including diabetes mellitus and insulin resistance, is associated with negative liver-related outcomes (i.e., severe liver fibrosis, decreased response to antivirals, and increased occurrence of hepatocellular carcinoma).

Applications

These data strongly encourage clinicians to systematically screen HCV-infected patients for the presence of glucose abnormalities. Considering the impact of glucose abnormalities on liver-related outcomes in HCV infected patients, antiviral treatment should also be considered in HCV-infected patients with metabolic syndrome.

Peer-review

This review talks about the relationship between HCV infection and glucose abnormalities. There are already lots of articles about the topic. This review summarizes those articles published from January 2000 to April 2015 in PubMed and gives us a conclusion about the topic.

Footnotes

Manuscript source: Invited manuscript

Specialty type: Gastroenterology and hepatology

Country of origin: France

Peer-review report classification

Grade A (Excellent): 0

Grade B (Very good): 0

Grade C (Good): C, C

Grade D (Fair): 0

Grade E (Poor): 0

Conflict-of-interest statement: Pr P. Cacoub has received consulting and lecturing fees from: Abbvie, Astra Zeneca, Bristol-Myers Squibb, Gilead, Glaxo Smith Kline, Janssen, and Merck Sharp Dohme. Dr AC Desbois has received lecturing fees from Gilead.

Data sharing statement: No additional unpublished data are available.

Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

Peer-review started: October 7, 2016

First decision: October 28, 2016

Article in press: February 8, 2017

P- Reviewer: Wang K, Zheng SS S- Editor: Gong ZM L- Editor: A E- Editor: Liu WX

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