IMPACT OF SUSTAINED VIROLOGICAL RESPONSE OF VIRUS C OUTCOME ON TYPE II DIABETIC PATIENTS INSULIN RESISTANCE AND METABOLIC STATE

Document Type : Original Article

Authors

1 Departments of Internal Medicine, Al-Azhar Faculty of Medicine, Al-Azhar University

2 Departments of Clinical Pathology, Al-Azhar Faculty of Medicine, Al-Azhar University

Abstract

Background: Diabetes is one of the most prevalent non-communicable diseases throughout the world, affecting 415 million people in 2015.  Hepatitis C virus (HCV) infection is widespread, affecting up to 185 million people worldwide.  Interestingly, a systematic review has also shown a significant association between the presence of type 2 diabetes mellitus T2D and the risk of HCV infection.  Chronic HCV is associated with hepatic and peripheral insulin resistance (IR) .
Objective: Investigating the impact of SVR12 following combination of Sofosbuvir and Daclatasvir on IR  and metabolic state in type 2 D.M.
Patients and Methods: The study  was conducted on100 patients. Patients were divided in two groups; group I, that included 30 patients who have  both T2D  and HCV and did not receive  any anti viral drugs,  and they served as a control group. Group II, which included 70 patients as a case group who have  type 2 DM and HCV and received treatment for 12 weeks according to the Egyptian guidelines using Sofosbuvir and Daclatasvir, and achieved  SVR12. All patients were included in the final analysis investigated by fasting and postprandial blood sugar, full lipid profil, HbA1c and microalbuminuria,  HOMA- IR , fibroscan  and liver enzymes . Serum HCV-RNA was tested at baseline, after 4 weeks, end of treatment, and 12 weeks after the end of treatment. Results showed that cirrhotic patients showed worse metabolic profile as FBS, PPBS, HbA1c, and Homa - IR, serum cholesterol and serum triglycerides  compared to non cirrhotic ones at the start of the therapy.  Following the achievement of SVR, Group II patients showed a decrease in its mean fasting blood sugar, postprandial blood sugar, HbA1c, albuminuria , Homa - IR score, cholesterol,  triglycerides. Group I showed only improvement of cholesterol level. Normalization of  SGOT, SGPT, serum bilirubin and serum albumin was recorded only in group II patients, while INR level showed no change from its pretreatment level in  both groups. Additionally, fibroscan result improved in group II , while it increased in group I . So, the achievement of SVR in diabetic  patients with CHC have a favorable outcome on IR which was more pronounced in non cirrhotic patients.
Conclusion: The achievement of SVR in patients with HCV and diabetes mellitus is associated with improvement in Insulin resistance and metabolic markers. This improvement can lead to stopping of anti-diabetic treatment with additional improvement of albuminuria which reflect improvement of vascular complications of IR.

IMPACT OF SUSTAINED  VIROLOGICAL RESPONSE OF VIRUS C OUTCOME ON TYPE II DIABETIC PATIENTS  INSULIN RESISTANCE AND METABOLIC STATE

 

By

 

Fathy  El–Ghamry,  Helmy Shalaby,  Ahmed Al-Wassief,  Reda  Zaema  and Mohammad El-Shorbagi*

 

Departments of Internal Medicine and Clinical Pathology*,

Al-Azhar Faculty of Medicine, Al-Azhar University

 

ABSTRACT

Background: Diabetes is one of the most prevalent non-communicable diseases throughout the world, affecting 415 million people in 2015.  Hepatitis C virus (HCV) infection is widespread, affecting up to 185 million people worldwide.  Interestingly, a systematic review has also shown a significant association between the presence of type 2 diabetes mellitus T2D and the risk of HCV infection.  Chronic HCV is associated with hepatic and peripheral insulin resistance (IR) .

Objective: Investigating the impact of SVR12 following combination of Sofosbuvir and Daclatasvir on IR  and metabolic state in type 2 D.M.

Patients and Methods: The study  was conducted on100 patients. Patients were divided in two groups; group I, that included 30 patients who have  both T2D  and HCV and did not receive  any anti viral drugs,  and they served as a control group. Group II, which included 70 patients as a case group who have  type 2 DM and HCV and received treatment for 12 weeks according to the Egyptian guidelines using Sofosbuvir and Daclatasvir, and achieved  SVR12. All patients were included in the final analysis investigated by fasting and postprandial blood sugar, full lipid profil, HbA1c and microalbuminuria,  HOMA- IR , fibroscan  and liver enzymes . Serum HCV-RNA was tested at baseline, after 4 weeks, end of treatment, and 12 weeks after the end of treatment. Results showed that cirrhotic patients showed worse metabolic profile as FBS, PPBS, HbA1c, and Homa - IR, serum cholesterol and serum triglycerides  compared to non cirrhotic ones at the start of the therapy.  Following the achievement of SVR, Group II patients showed a decrease in its mean fasting blood sugar, postprandial blood sugar, HbA1c, albuminuria , Homa - IR score, cholesterol,  triglycerides. Group I showed only improvement of cholesterol level. Normalization of  SGOT, SGPT, serum bilirubin and serum albumin was recorded only in group II patients, while INR level showed no change from its pretreatment level in  both groups. Additionally, fibroscan result improved in group II , while it increased in group I . So, the achievement of SVR in diabetic  patients with CHC have a favorable outcome on IR which was more pronounced in non cirrhotic patients.

Conclusion: The achievement of SVR in patients with HCV and diabetes mellitus is associated with improvement in Insulin resistance and metabolic markers. This improvement can lead to stopping of anti-diabetic treatment with additional improvement of albuminuria which reflect improvement of vascular complications of IR.

 

 

INTRODUCTION

     Diabetes is one of the most prevalent non-communicable diseases throughout the world, affecting 415 million people in 2015 (Cho, 2016) Hepatitis C virus (HCV) infection is widespread, affecting up to 185 million people worldwide (Lavanchy, 2009). Most patients are unaware of their infection but at increased risk of liver cirrhosis, hepatocellular carcinoma (HCC) and liver-related mortality (Grebely and  Dore, 2011). Interestingly, a systematic review has also shown a significant association between the presence of type 2 diabetes mellitus T2D and the risk of HCV infection (Younossi et al., 2011).  The increased risk is likely to be due to the repeated, invasive medical procedures that T2D patients usually undergo, exposing them to blood borne infections if universal precautions are not strictly followed (Guo et al., 2013). . Chronic HCV is associated with hepatic and peripheral insulin resistance (IR) and the excess diabetes risk in HCV-infected persons is a subject of debate (Bose and Ray , 2014).  The prevalence of IR and T2D in patients infected with HCV has been shown to be high. In one study more than 30% of HCV subjects had glucose abnormalities (Milner et al., 2010).  Meta-analysis found a pooled adjusted odds ratio (OR) for T2D in HCV-infected persons of approximately 1.7 (White et al., 2008).  Furthermore, the dynamics of IR in chronic HCV has shown an increase of hepatic insulin resistance and a decreased peripheral glucose uptake( Mitsuyoshi et al., 2008 and Smythe et al., 2010) . The effect of sustained virological response (SVR) on various clinical outcomes provides another line of evidence linking HCV infection with IR (Vanni et al., 2016). One clinical trial concurred to demonstrate that SVR was associated  with improved IR  as measured by HOMA2-IR (Delgado-Borrego et al., 2010)  Another study found a reduction of de novo IR development in following the achievement of SVR compared to non-SVR patients  (Aghemo et al., 2012).  Moreover, a reduction of diabetic complications, including renal and cardiovascular complications, ware reported following successful antiviral treatment (Hsu et al., 2014). Although most of these studies were performed in patients undergoing interferon (IFN)-based therapy,  preliminary reports suggests that direct-acting antiviral (DAA) agents are associated with similar improvement of IR after 12 weeks of treatment (Pavone et al., 2016) , and the persistency of a lower fasting glucose levels at 24 weeks from the end of  DAA therapy (Fabrizio et al., 2016).

     The present study  aimed to investigate the impact of SVR12 following combina-tion of Sofosbuvir and Daclatasvir on IR as assessed by HOMA IR test,  fasting and post-prandial blood sugar, full lipid profile, microalbuminurea  and  HbA1c among diabetic patients infected by HCV.

PATIENTS AND METHODS

    This is a single center prospective study that was performed between December 2015 and January 2017  at the department of Internal medicine, Alhossien Hospital, Cairo, Egypt. 105 patients were initially recruited for this study (Fig. 1). Patients were divided in two groups; group I, that included 30 patients who have both T2DM  and HCV . They did not receive  any anti viral drugs and they served as a control group. And group II, which included 75 patients as a case group who have both type 2 DM and HCV. They received treatment for 12 weeks according to the Egyptian guidelines using Sofosbuvir and Daclatasvir  and achieved  SVR12. Five patients were  excluded  because they stopped the treatment due to severe side effects or  they were non responsive to treatment. In details, one case show tense ascites at one month and stopped treatment while a 2nd case has renal impairment "creatinine >2.5 mg/dl" after 3 weeks of the start of treatment, and the other 3 cases showed failure of treatment. Eventually, 70 patients were included in the final analysis.Fasting and postprandial blood sugar, full lipid profil, HbA1c and microalbuminuria were  assessed. 

    Serum HCV-RNA was tested by the Cobas Ampli Prep/Cobas TaqMan HCV-RNA assay (Roche Diagnostics; Pleasanton, CA, USA) with a lower limit of detection of 15 IU/mL at baseline. It was meassured at week 4, end of treatment, and 12 weeks after the end of treatment (Wilkins et al., 2010).

    The assessment of IR (HOMAIR) using the standard formula: HOMA-IR = fasting insulin (uU/mL) x fasting glucose (mmol/L)/22(Hill et al., 2013).

    Fibroscan was done using Fibroscan (M probe, Echosens, Paris) by an experienced examiner in all patients (with at least 6 h of fasting) in left lateral position and the median liver stiffness of the 10 successful measurements fulfilling the criteria (success rate of greater than 60% and interquartile range /median ratio of <30%)  and The FibroScan cut-offs proposed by Castéra et al were used to diagnose bridging fibrosis and cirrhosis. The cut-offs for advanced fibrosis (F3 = numerous septa without cirrhosis) and cirrhosis (F4) were ≥9.5 kPa and ≥12.5 kPa respectively (Nezam , 2012)

Statistical Analysis

    Continuous variables were expressed as means and standard deviation (SD). Categorical variables were presented as frequency and percentage. Comparisons between groups were made by using Student t test for continuous variables and the χ² or Fisher exact probability test for categorical data. The two-tailed, paired Student’s t-test was used to test for significance of differences between baseline and post-treatment variables after the achievement of SVR. Multiple ordinal regression analysis  to assess factors associated with improvement in Homa IR were assessed. Variables identified by univariate analysis were included in the multivariate analysis by applying backward multiple logistic regression. All the statistical tests were 2-tailed. A P value of <0.05 was considered statistically significant. Data were analyzed using SPSS 19.0 for Windows (SPSS, Chicago, IL).

RESULTS

    One handred and five patients were initially recruited for this study. Patients were divided in two groups : Group I included 30 patients who have both T2DM  and HCV. They did not receive  any anti viral drugs and they served as a control group. Group II,  included 75 patients as a case group who have both type 2 DM and HCV. They received treatment for 12 weeks and achieved  SVR12. Five patients were  excluded  because they stopped the treatment due to severe side effects or  they were non responsive to treatment  (Fig 1).

 

 

 

 

 

 

 

 

 

 

 

 


Figure (1) : Studied Groups.

 

    Mean age of  group I patients "control" was 50.74±12.80 years, while that of group II, those who received treatment was  49.37±12.65 years (Table 1). Males constituted 33.3% of control group, while group II had 42.9% of its members males. Half  of group I were cirrhotic, while 44.3% of group II  were cirrhotic (Table 2).

   Group II patients showed improvement of its glycemic control as mean fasting blood showed a decrease from 186.21 ± 82.85 to 132.26 ± 42.20, while that of group I increased from  159.50 ± 65.08 to 172.67 ± 71.85 (p=0.001). Similarly, postprandial blood sugar of group II decreased significantly after achieving SVR12 from 296.79 ± 114.83 to 197.55 ± 48.98 (p=0.001), while that of group I recorded insignificant change from  272.50 ± 104.40 to 285.90 ± 102.19 (p=0.226). Additionally,  HbA1c readings  showed comparable improvement also in group II as it showed a reduction by about 1 from 7.83 ± 1.60 to 6.86 ± 1.12 (p=0.001). Conversely, group I showed a significant increase of its HbA1c  from 6.93±1.25 to 7.41±1.25 (p=0.001). Homa IR score also showed a significant improvement in group II as the score dropped from 3.10±2.18 to 2.20±1.49 (p=0.001). Interestingly, group I showed worsening of insulin resistance as its Homa IR increased significantly from 2.80±1.51 to 3.46±2.22 . Another related improvement was reported in the level of albuminuria . Following SVR, group II showed reduction of albuminuria from 39.42 ± 39.27 to 24.10 ± 25.18 (p=0.001). Unlike group II, group I displayed  insignificant change from 34.53 ± 32.01 to 41.90 ± 44.04 (p=0.858). Combined together the variation in albuminuria between the two groups was significant  (Table 3) .

     Blood lipids also showed favorable response to SVR in both groups as regard cholesterol level. Group II patients showed improvement  from 275.93 ± 106.93 to 188.77 ± 24.09 , while group I patients showed improvement from 235.18 ± 54.87 to 203.62 ± 33.33 and  group II showed lower results than group I (p=0.031) . On the contrary,  triglycerides level showed improvement in group II following treatment as compared to group I. A drop from 232.70 ± 151.70  to 148.90±36.31  was reported by group II patients, while group I showed an insignificant change from 177.48 ± 45.54  to 169.74 ± 28.80 (p=0.689 –Table 3).

    Following SVR, fibroscan results improved in group II as it showed a decline from 11.26 ± 10.87  to 9.54 ± 7.72 (p=0.002), while it increased from 12.91 ± 10.89 to 14.52±13.52 (p=0.213)  in group I ( Table 4) .

     Univariate analysis showed that predictive of improvement in Homa IR were FBS (1.694),  PPBS  (1.471),  HbA1c (3.273), INR (2.192), ALT (1.125) and Triglyceride level ( 1.805). However, multivariate analysis only identified HbA1c and triglycerides (6.068) and (2.699) respectively as of favorable response, Seven patients managed to stop their anti-diabetic drugs as a result of improvement in their IR (Table 5). Patients who eventually stopped anti-diabetic drugs had the following predictive factors; PPBS  (1.440) , HOMA IR (1.250) , albuminuria (2.150), and INR ( 1.859). Multivariate analysis identified PPBS and albuminuruia as the only predictives of response (1.309) and (2.853) respectively (Table 6).

 

 

 

Table (1): Comparison of age among studied groups.

Groups

 

Age (years)

Control group

Cases

Total

n

%

n

%

n

%

20-

2

6.8

5

7.1

7

7.0

30-

6

20.0

10

14.3

16

16.0

40-

7

23.3

15

21.4

22

22.0

50-

7

23.3

18

25.7

25

25.0

60-

7

23.3

20

28.6

27

27.0

70

1

3.3

2

2.9

3

3.0

Range

25 - 71

22 - 71

22 - 71

Mean+SD

50.74+12.80

49.37+12.65

50.71+12.71

P

0.622

 

               

 

 

Table (2): Epidemiology of the studied groups.

Groups

 

Parameters

Control group

Cases

p

n

%

n

%

Sex

Males

 

10

 

33.3

 

30

 

42.9

0.373

Females

20

66.7

40

57.1

Cirrhosis

 

 

 

 

 

Absent

15

50.0

39

55.7

0.599

present

15

50.0

31

44.3

             

 

Table (3): Comparison between the two groups as regard  the impact of SVR on  glucose and lipid profile metabolism.

Groups

 

Parameters

Control

Patients

p

Fasting sugar before:

159.50+65.08

186.21+82.85

0.120

Fasting sugar after:

172.67+71.85

132.26+42.20

0.001*

p

0.056

0.001*

 

PPS Before:

272.50+104.40

296.79+114.83

0.322

PPS After:

285.90+102.19

197.55+48.98

0.001*

p

0.226

0.001*

 

HbAc1 Before:

6.93+1.25

7.83+1.60

0.008*

HbC1 After:

7.41+1.25

6.86+1.12

0.03*

p

0.001*

0.001*

 

Albuminuria Before:

34.53+32.01

39.42+39.27

0.549

Albuminuria After:

41.90+44.04

24.10+25.18

0.018*

p

0.858

0.001*

 

HOMA Before:

2.80+1.51

3.10+2.18

0.495

HOMA After:

3.46+2.22

2.20+1.49

0.001*

p

0.026*

0.001*

 

Cholesterol Before:

235.18+54.87

275.93+106.93

0.0511*

Cholesterol After:

203.62+33.33

188.77+24.09

0.014*

p

0.035*

0.001*

 

Triglycerides Before:

177.48+45.54

232.70+151.70

0.054*

Triglycerides After:

169.74+28.80

148.90+36.31

0.007*

p

0.689

0.001*

 

*Significant

 

 

Table (4): Comparison between the two groups as regard biochemical and radiological parameters.

    Groups

Parameters

Control

Patients

p

Fibroscane Before:

12.91+10.89

11.26+10.87

0.588

Fibroscane After:

14.52+13.52

9.54+7.72

0.022*

p

0.213

0.002*

 

         

 

Table (5):  Predictive of improvement in HOMA in response to SVR achievement

     Groups

 

Parameters

Control

Cases

Uni varient

Multi variant

n

%

n

%

OR

95%CI

OR

95% CI

Fasting blood sugar:

 

 

 

 

 

 

1.014

0.222-4.382

70-110

6

20.0

9

12.9

 

 

>110

24

80.0

61

87.1

1.694

0.544-5.276

Post prandial sugar:

 

 

 

 

 

 

0.687

0.356-5.940

<200

7

23.3

12

17.1

 

 

>200

23

76.7

58

82.9

1.471

0.515-4.203

HbA1C

 

 

 

 

 

 

6.068

0.031-0.863

<6

8

26.7

7

10.0

 

 

>6

22

73.3

63

90.0

3.273

1.063-10.07

HOMA

 

 

 

 

 

 

 

 

<2

7

23.3

26

37.1

 

 

>2

23

76.7

44

62.9

0.515

0.194-1.366

Albuminuria

 

 

 

 

 

 

 

 

<18

10

33.3

35

50.0

 

 

>18

20

66.7

35

50.0

0.500

0.205-1.220

Prothrombin activity

 

 

 

 

 

 

0.290

1.138-10.482

<70

20

66.7

57

81.4

2.192

0.83-4.88

70-100

10

33.3

13

18.6

 

 

Serum albumin

 

 

 

 

 

 

 

 

<3.5

13

43.3

20

28.6

0.523

0.22-1.27

>3.5

17

56.7

50

71.4

 

 

Total bilirubin

 

 

 

 

 

 

 

 

<1

16

53.3

42

60.0

 

 

>1

14

46.7

28

40.0

0.762

0.322-1.804

ALT

 

 

 

 

 

 

0.855

0.409-3.347

<45

18

60.0

40

57.1

 

 

>45

12

40.0

30

42.9

1.125

0.471-2.686

AST

 

 

 

 

 

 

 

 

<45

15

50.0

37

52.9

 

 

>45

15

50.0

33

47.1

0.892

0.379-2.099

Cholesterol

 

 

 

 

 

 

 

 

<200

6

20.0

16

22.9

 

 

>200

24

80.0

54

77.1

0.844

0.294-2.422

Triglycerides

 

 

 

 

 

 

2.699

0.126-1.086

<165

11

36.7

17

24.3

 

 

>165

19

63.3

53

75.7

1.805

0.718-4.538

Cirrhosis:

 

 

 

 

 

 

 

 

Negative

15

50.0

39

55.7

 

 

Positive

15

50.0

31

44.3

0.795

0.337-1.873

 

Table (6): Predictives of stopping treatment in response to SVR achievement.

Groups

 

Parameters

Stopped treatment

Continued treatment

Uni varient

Multi varient

n

%

n

%

OR

95%CI

OR

95% CI

Fasting blood sugar:

 

 

 

 

 

 

 

 

70-110

2

28.6

13

14.0

 

 

>110

5

71.4

80

86.0

0.406

0.071-2.318

Post prandial sugar:

 

 

 

 

 

 

1.309

0.099-17.383

<200

1

14.3

18

19.4

 

 

>200

6

85.7

75

80.6

1.440

0.163-12.72

HbA1C

 

 

 

 

 

 

0.712

0.057-8.879

<6

1

14.3

14

15.1

 

 

>6

6

85.7

79

84.9

1.063

0.119-9.519

HOMA

 

 

 

 

 

 

 

0.901

 

0.109-7.601

<2

2

28.6

31

33.3

 

 

>2

8

71.4

62

66.7

1.250

0.229-6.812

Albuminuria

 

 

 

 

 

 

2.853

0.375-21.680

<18

2

28.6

43

46.2

 

 

>18

5

71.4

50

53.8

2.150

0.397-11.65

Prothrombin activity

 

 

 

 

 

 

0.390

0.040-3.801

<70

6

85.7

71

76.3

1.859

0.21-16.29

70-100

1

14.3

22

23.7

 

 

Serum albumin

 

 

 

 

 

 

 

 

<3.5

2

28.6

31

33.3

0.800

0.15-4.36

>3.5

5

71.4

62

66.7

 

 

Total bilirubin

 

 

 

 

 

 

 

 

<1

6

85.7

52

55.9

 

 

>1

1

14.3

41

44.1

0.211

0.024-1.826

ALT

 

 

 

 

 

 

 

 

<45

6

85.7

52

55.9

 

 

>45

1

14.3

41

44.1

0.211

0.024-1.826

AST

 

 

 

 

 

 

 

 

<45

5

71.4

47

50.5

 

 

>45

2

28.6

46

49.5

0.409

0.075-2.214

Cholesterol

 

 

 

 

 

 

 

 

<200

2

28.6

20

21.5

 

 

>200

5

71.4

73

78.5

0.685

0.124-3.796

Triglycerides

 

 

 

 

 

 

 

 

<165

3

42.9

25

26.9

 

 

>165

4

57.1

68

73.1

0.490

0.102-2.346

Cirrhosis:

 

 

 

 

 

 

 

 

Negative

6

85.7

48

51.6

 

 

Positive

1

14.3

45

48.4

0.178

0.021-1.535

 

DISCUSSION

    The epidemiological evidence linking HCV to IR, is rather compelling, although the association seems strongest in at-risk individuals with additional risk factors such as older age and higher BMI(Khattab et al., 2010) & (Romero-Gomez et al., 2008) .There is an accumulating data that the achievement of SVR using DAAs can improve IR(Pavone et al., 2016 and Fabrizio et al., 2016).

    The results of this study indicate that there is a significant difference between cirrhotic patients and non cirrhotic patients in terms of glycemic control as reflected by FBS, PPBS, HbA1c, and Homa IR which indicate that the development of cirrhosis worsens IR.In addition, the increase of albuminuria level in cirrhotic patients point out that vascular complications of persistent hyperglycemia are more prominent in those patients. Insulin resistance had been reported to be associated with liver cirrhosis (LC) in more than one study (Gercia-Compean et al.,  2009 and Laure et al., 2013 ). Half of patients with cirrhosis and no previous diagnosis of DM proved to have DM (Kayo et al., 2014).  Malnutrition can contribute to the development of IR which can explain the difference between cirrhotic and non cirrhotic patients(Kayo et al ., 2014). Alternatively, it had been proven that IR can accelerate the progression of liver fibrosis (Wree et al., 2013) . However, the degree of LC did not affect the extent of IR (Kayo et al ., 2014). IR-induced hepatic lipid accumulation and generation of ROS can also indirectly activate stellate cells and initiate the cellular signaling cascades triggering hepatic fibrosis  (Suhag et al., 2016).

    In our cohorts, following successful eradication of HCV, improvement of glucose metabolism was significantly noticed as all FBS, PPBS, HbA1c, and Homa IR were decreased this was strikingly evident by the fact that 7 patients eventually stopped their Anti-diabetic medications. In more than a study, IR had improved significantly following SVR in response to Peg-IFN plus RBV (Wedemeyer et al., 2009) and (Khattab et al., 2012). Furthermore, this improvement was coupled with changes in adiponectin levels, leptin levels and TNF-α and. Moreover, the speed by which these changes took place was proportionate to the speed of viral clearance as patients who showed EVR at 12 weeks reported more rapid improvement in their IR. More importantly, relapsers showed worsening of  HOMA-IR values that returned to baseline in most patients by 24 weeks after stopping therapy(Grasso et al., 2015 ).Indeed the cohorts in our study showed SVR12 which might explain the better responses reported to the degree that some patients stopped treatment. Our data confirm the importance of HCV clearance in management of IR in diabetics which can eventually normalize glucose metabolism.

    Kawaguchi and his colleagues reported conflicting results that included no change of Homa IR following SVR, and the researchers rejected the axiom that viral clearance resulted in improvement of Homa IR (Kawaguchi et al., 2009). However, they admitted a favorable impact of SVR on whole body IR as reflected by improvement of Homa B. To begin with ,the researchers in that study used IFN based treatment and their diabetic patients were only managed nutritionally but not by drugs which explains the discrepancy  between our data and their conclusion. In addition, the mechanism of hepatic insulin resistance can be affected by LC which was reported nearly by half of our cohorts unlike those of Kawaguchi study who were all non cirrhotic.

    To our knowledge, this is the first study that report stopping anti-diabetic treatment in response to SVR in CHC diabetic patients. This might be explained by multiple factors. Firstly, the shorter duration of treatment and the reported parallel improvement in glucose metabolism took effect early as compared with the previously used IFN based therapy which allowed us earlier reporting of the improvement. Secondly,  IFNs have been reported to impair glucose tolerance (Huang et al., 2011). Consequently,  the resultant improvement in IR following its use could have been hampered by the worsening effect of the drug itself. The metabolic effect of INF might had attenuated the proposed improvement of IR in response to viral clearance. Finally, the rate of SVR  in response to DAAs is higher than that reported in IFN treatment and consequently larger number of patients are experiencing cure with the associated metabolic improvement.

   Following SVR and neutralization of the viral replication factor cirrhotic patients had a worse metabolic profile which indicate that cirrhosis is more important than viral replication as a perpetuating factor for IR.  Conceptualizing this difference involves the differentiation between the 2 arms of IR. In general, the resultant inflammatory process related to HCV infection with theproduction of cytokines such as TNF-a evokes systemic (primarily muscle) IR ( Kawaguchi et al., 2009 ) which  subsequently impacts Homa B. While cirrhosis which impairs hepatic response to insulin impacts mainly Homa IR which was manifested in our cohorts. However, the analyzed number of patients was small so such conclusion should be taken carefully. In addition, assessment of peripheral IR was not obtained in the current study. 

    The report that HCV eradication was associated with a reduction in IR in patients infected with genotype 1 but not in those with genotype 2/3 HCV, suggesting a causal relationship between genotype 1 HCV and IR which makes comparison between the results of studies more tricky (Thompson et al 2012) consequently, special emphasis on the  impact of viral genotype on IR should be a subject of scrutiny. However, the favorable impact of eradication of HCV GT-4 had been reported by other researchers (Khattab et al., 2012).

Most  studies that investigated the impact of viral clearance on SVR were limited by small sample size and heterogenicity in viral genotypes. (Romero-Gomez et al., 2008,   Kawaguchi et al., 2009,  Khattab et al., 2012  and  Grasso et al., 2015).

    Multivariate analysis only identified HbA1c and triglycerides as predictive of improvement in IR. Recently, Multivariate analysis using a logistic regression model showed that baseline HOMA-IR is the only factor associated with the decline in HOMA-IR during and after therapy (Chien et al., 2015). The dramatic meta-bolic improvement that was manifested by stopping anti-diabetic treatment was predicted by PPBS, HOMA IR, albuminuria, and INR using univariate regression analysis. Multivariate analysis identified PPBS and albuminuruia as the only predictives of response.Whether or not this metabolic improvement is solid and not clear. Many studies had evaluated the validity of numerous metabolic markers as predictors of improvement in  IR, namely Homa IR, BMI, and Serum Leptin. However none had reported that achieving an SVR can result in stopping anti-diabetic treatment. In fact,  all of those studies excluded patients who are under treatment for diabetes and included only those under diet treatment  (Kawaguchi et al., 2009 ,  Khattab et al., 2012 ,  Chien et al., 2015 and Grasso et al., 2015 ).

    Nevertheless, a clear limitation of the current study  is that we only included patients who achieved SVR so it is not clear how unresponsive patients would have responded metabolically to the treatment.

CONCLUSION

    The achievement of SVR in diabetic CHC patients have a favorable outcome on IR which is more pronounced in non cirrhotic patients. This improvement can eventually result in stopping anti-diabetic treatment.

REFERENCES

1. Aghemo A., Prati G, Soffredini RAmbrosio ROrsi EDegasperi EGrancini VColombo M and Rumi M. (2012): Sustained virological response prevents the development of insulin resistance in patients with chronic hepatitis C.  Hepatology, 56(5): 1681–1687.

2. Bose SK  and Ray RB . (2014): Hepatitis C and insulin resistance . World J Diabetes, 5 (1 :52 -58.

3. Chien CH1, Lin CL1, Chang JJChien RN. and Hu CC1. (2015): Clearance of Hepatitis C Virus Improves Insulin Resistance During and After Peginterferon and Ribavirin Therapy. J Interferon Cytokine Res., 35(12):981-9.

4. Cho NH. (2016): Five questions on the 2015 IDF diabetes atlas. Diabetes Res Clin Pract., 115:157–9.

5. Delgado-Borrego A, Jordan SH , Healey DLin WKamegaya YChristofi MLudwig DALok ASChung RT and Negre B. (2010): Reduction of insulin resistance with effective clearance of hepatitis C infection: results from the HALT-C trial.  Clin Gastroenterol  Hepatol, 8(5):458–62.

6. Fabrizio C, Procopio A, Bruno E, MilanoM, MilellaA, SaracinoG, Angarano and Scudeller L. (2016): HCV and diabetes: towards a ’sustained’ glycaemic improvement after treatment with DAAs?. Clin. Microbiol Infect., 23(5):342 - 343.

7. Gercia-Compean D, Jaquez-Quintana JO, Maldonado-Garza H and Gonzalez JA. (2009):Liver cirrhosis and diabetes: risk factors, pathophysiology, clinical implications and management. World J Gastroenterol  , 15: 280-288 .

8. Grasso A1, Malfatti F1 and Andraghetti G2. (2015): HOMA, BMI, and Serum Leptin  Levels Variations during Antiviral Treatment Suggest Virus-Related Insulin Resistance in Non cirrhotic, Non obese, and  Nondiabetic Chronic Hepatitis C Genotype1 Patients. Gastro enterol Res Pract, 2015 :1-  7.

9. Grebely J and Dore GJ (2011): What is killing people with hepatitis C virus infection? Semin Liver Dis, 31(4):331–9.

10. Guo X ,Jin M, Yana M and Lin K. (2013): Type 2 DM and risk ofHepatitis C virus infection . Sci. Rep., 18 (3) : 2981 - 9.

11. Hill NR, Levy JC and Matthews DR.(2013) : Expansion of B-cell function and insulin resistance to enable clinical trial out come. Diabetes Care, 36(8):2324–30.

12. Hsu YC, Lin JT Kao YHHuang YTHsiao NWWu MSLiu YYWu CY and Ho HJ. (2014): Antiviral treatment for hepatitis C virus infection is associated with improved renal and cardiovascular outcomes in diabetic patients. Hepatology, 59(4):1293–302.

13. Huang JF, Dia CY and Yu M. (2011): Peyglated interferon plus ribavirin therapy improve pancreatic beta cell function . Liver int., 31(8):1155–62.

15. Kayo T, Hisami YO, Akira M, Taki NMitsuo SToshio D  and  Eiji T. (2014): Insulin resistance as early sign of hepatic dysfunction in liver cirrhosis. The Journal of Medical Investigation, Vol. 61 No 1.2: p. 180-189 .

16. Kawaguchi M, Hirokazu T,  Keisuke A,  Toru Y,  Yuichiro E  and Noriko O. (2009): Eradication of hepatitis C virus by interferon improves whole-body insulin resistance and hyperinsulinaemia in patients with chronic hepatitis C. Liver Int.,  29(6):871-7.

17. Khattab MA, Eslam M, Hamdy L and Sharwae MA  (2012):  Seroprevalence of hepatitis C and B among blood donors in Egypt: Minya Governorate, 2000–2008. Am J Infect Control, 38 (8): 640-641.

18. Khattab MD, Mohammed E and Mohammed S  (2010):  Insulin Resistance Predicts Rapid Virologic Response to Peginterferon/Ribavirin Combination Therapy in Hepatitis C Genotype 4 Patients. Am J Gastroenterol , 105:1970–1977.

19. Lavanchy D (2009): The global burden of hepatitis C. Liver Int, 29(Suppl 1):74–81.

20. Laure E, Pierve E, Paradis, Richard M, Shiv S and Dominique V. (2016): Diabetas mellitus in patiens with cirrhosis: clinical implications and management. Liver international Journal, volum 36:issue 7 pag 936–948.

21. Milner KL1, van der Poorten D and  Trenell M. (2010): Chronic hepatitis C is associated with peripheral rather than hepatic insulin resistance. Gastroenterology, 138(3):932-41.

22. Mitsuyoshi H, Itoh Y, Minami M, Yasui K, Nakashima T, Okanoue T and Sumida Y. (2008): Evidence of oxidative stress as a cofactor in the development of insulin resistance in patients with chronic hepatitis C. Hepatol Res, 38(4):348–53.

23. Nezam H A. (2012): Fibroscane (Transient Elastography)for the measurement of liver fibrosis.  Gastroenterol Hepatol (N Y), 8(9): 605–607.

24. PavoneP, Tieghi T, Lichtner MMarocco RMezzaroma IPassavanti GVittozzi PMastroianni CMVullo V and Ettorre G. (2016): Rapid decline of fasting glucose in HCV diabetic patients treated with direct-acting antiviral agents. Clin Microbiol Infect, 22(5):462 - 3.

25. Romero G, Fernandez R,  Andrade D. M, Alonso S, Planas R, Solá R, Pons JA, Salmerón J, Barcena RPerez RCarmona I and  Durán S. (2008): Effect of sustained virological response to treatment on the incidence of abnormal glucose values in chronic hepatitis C. J Hepatol , vol. 48 (5):721-7 .

26. Smythe G, Milner KL, Dore GJ, Zekry A, Weltman M, Fragomeli V, George J, Chisholm DJ and van derPoorten D. (2010): Chronic hepatitis C is associated with peripheral rather than hepatic insulin resistance. Gastroenterology , 138(3):932–41.

27. Suhag P, Raxitkumar J ,  Suthat L  and  Ravi P. (2016): Insulin resistance is associated with significant liver fibrosis in chronic hepatitis C patients: A systemic review and meta-analysisClin Gastroenterol,  50(1): 80–84.

28. Thompson AJ , Keyur P , Wan-L C , Eric J. Lawitz, Maribel RT, Vinod K, Robert F, Stephen P, Moises D, Sanjeev A, Graham R F, Michael T, Yves B, David R N, Mark S, Stefan Z, Erik P,  Mani S and John G M. (2012): Viral clearance is associated with improved insulin resistance in genotype 1 chronic hepatitis C but not genotype 2/3. Gut, 61(1): 128–134.

29. Vanni E, Bugianesi E and Saracco G  (2016): Treatment of type 2 diabetes mellitus by viral eradication in chronic hepatitis C: Myth or reality? Dig Liver Dis ,48(2):105–11.

30. Wedemeyer I, Bechmann LP, Jochum C, Marquitan G, Drebber U, Gerken G, Gieseler RK, Dienes HP, Canbay A and Odenthal M. (2009): Adiponectin inhibits steatotic CD95/Fas up-regulation by hepatocytes: therapeutic implications for hepatitis C. J Hepatol., 50:140–149 .

31. White DL, Ratziu V and El-Serag HB. (2008): Hepatitis C infection and risk of diabetes: a systematic review and meta-analysis. J Hepatol, 49(5):831–44.

32. Wilkin t, Malcalm JK, Ranin A and Schade RR (2010): Hepatitis c: Diagnosis and treatment. American Family Physician, 81:1351–7.

33. Younossi Z M, Maria S, Fang Y Younossi Y Mir H , Srishord M  andMariam A (2011): Changes in the Prevalence of the Most Common Causes of Chronic Liver Diseases in the United States From 1988 to 2008. Clinical Gastroenterology and Hepatology, Volume 9, Issue 6 : Pages 524–530.


 تأثیر علاج فیروس س على مرض  البول السکرى من النوع الثانى ومقاومة الإنسولین و التغیر فى الأیض

 

فتحى الغمرى - حلمى شلبى - أحمد الوصیفى - رضا زعیمه - محمد سعید الشوربجى* 

 

قسمى الباطنة والباثولوجى الإکلنیکى*  - کلیة طب الأزهر

 

خلفیة البحث: مرض البول السکری هو واحد من الأمراض غیر المعدیة الأکثر إنتشارا فی جمیع أنحاء العالم، وقد أثر على حوالى ما یقرب من  415 ملیون شخص فی عام 2015. وعدوى فیروس التهاب الکبد الوبائی س واسعة الإنتشار، وقد أثرت على  ما یصل إلى 185 ملیون شخص فی جمیع أنحاء العالم. ومن المثیر للإهتمام أنه قد أظهرت مراجعة منهجیة أیضا وجود إرتباط کبیر بین وجود داء السکری من النوع 2 وخطر الإصابة بفیروس إلتهاب الکبد الوبائی C. ویرتبط فیروس إلتهاب الکبد الوبائی C  المزمن بزیادة  مقاومة الإنسولین الکبدیة والمحیطة  .

الهدف من البحث: التحقیق فی تأثیر علاج فیروس س بعقار سوفوسبوفیر و داکلاتاسفیر على مقاومة الإنسولین والحالة الأیضیة فی النوع الثانى من مرض البول السکرى .

المرضى وطرق البحث : أجریت هذه الدراسة على 100 مریض. وقد تم تقسیم المرضى إلى مجموعتین. المجموعة الأولى، شملت 30 مریضا لدیهم مرض السکرى النوع الثانى و فیروس التهاب الکبد الوبائی C   ولم یتلقوا أی أدویة مضادة للفیروسات، وخدموا کمجموعة مراقبة، والمجموعة الثانیة تضمنت 70 مریضا لدیهم مرض السکرى من النوع الثانى وفیروس إلتهاب الکبد الوبائی C  وتلقوا العلاج لمدة 12 أسبوعا وفقا لمبادئ الجمعیة المصریة لعلاج فیروس س بإستخدام سوفوسبوفیر وداکلاتاسفیر، وحققوا إختفاء للعدد الکمى للفیروس لمدة ثلاثة شهور بعد إنتهاء العلاج. وقد تم تضمین جمیع المرضى فی التحلیل النهائی التحقیق من نسبة سکر الدم صائم وسکر الدم بعد الأکل بساعتین، ونسبة الدهون فى الدم، والسکر التراکمى، والمیکرو ألبومینیوریا (ألبومین فى البول) ، واختبار هوما ، وفیبروسکان وإنزیمات الکبد. وقد تم اختبار العدد التراکمى لفیروس س فی البدایة قبل أخذ العلاج وبعد 4 أسابیع من العلاج ، وبعد نهایة العلاج، و12 أسبوعا بعد إنتهاء العلاج. وأظهرت النتائج أن المرضى الذین یعانون من التشمع الکبدى أظهروا حالة أیض أسوأ کما فى السکر الصائم، والسکر بعد ساعتین، والسکر التراکمى، وهوما ، والکولیسترول فی الدم والدهون الثلاثیة فی الدم مقارنة مع تلک الحالات التى لیس بها تشمع فی بدایة العلاج. وبعد تحقیق الإستجابة للعلاج ، أظهرت المجموعة الثانیة انخفاض فی متوسط ​​السکر فی الدم الصائم، وسکر الدم بعد الأکل والهیموجلوبین السکرى، وألبومین، وهوما  والکولیسترول والدهون الثلاثیة. کما أظهرت المجموعة الأولى تحسن فى مستوى الکولیسترول. وتم تسجیل تحسناً فى وظائف الکبد ونسبة الصفراء والألبومین  فی المجموعة الثانیة من المرضى، فی حین لم یتغیر مستوى البروثرومبین فی کلتا المجموعتین. بالإضافة إلى ذلک، تحسنت نتیجة فیبروسکان فی المجموعة الثانیة، فی حین أنها زادت فی المجموعة الأولى.

الاستنتاج: تحقیق النجاح فى علاج فیروس س فى  المرضى الذین یعانون من إلتهاب الکبد الوبائی ومرض البول  السکری یرتبط مع تحسن فی مقاومة الإنسولین وعلامات التمثیل الغذائی. وهذا التحسن یمکن أن یؤدی إلى وقف العلاج المضاد للسکری مع تحسن إضافی من الألبومین البولى التی تعکس تحسین مضاعفات الأوعیة الدمویة لدى هؤلاء المرضى .  

 

REFERENCES
1. Aghemo A., Prati G, Soffredini RAmbrosio ROrsi EDegasperi EGrancini VColombo M and Rumi M. (2012): Sustained virological response prevents the development of insulin resistance in patients with chronic hepatitis C.  Hepatology, 56(5): 1681–1687.
2. Bose SK  and Ray RB . (2014): Hepatitis C and insulin resistance . World J Diabetes, 5 (1 :52 -58.
3. Chien CH1, Lin CL1, Chang JJChien RN. and Hu CC1. (2015): Clearance of Hepatitis C Virus Improves Insulin Resistance During and After Peginterferon and Ribavirin Therapy. J Interferon Cytokine Res., 35(12):981-9.
4. Cho NH. (2016): Five questions on the 2015 IDF diabetes atlas. Diabetes Res Clin Pract., 115:157–9.
5. Delgado-Borrego A, Jordan SH , Healey DLin WKamegaya YChristofi MLudwig DALok ASChung RT and Negre B. (2010): Reduction of insulin resistance with effective clearance of hepatitis C infection: results from the HALT-C trial.  Clin Gastroenterol  Hepatol, 8(5):458–62.
6. Fabrizio C, Procopio A, Bruno E, MilanoM, MilellaA, SaracinoG, Angarano and Scudeller L. (2016): HCV and diabetes: towards a ’sustained’ glycaemic improvement after treatment with DAAs?. Clin. Microbiol Infect., 23(5):342 - 343.
7. Gercia-Compean D, Jaquez-Quintana JO, Maldonado-Garza H and Gonzalez JA. (2009):Liver cirrhosis and diabetes: risk factors, pathophysiology, clinical implications and management. World J Gastroenterol  , 15: 280-288 .
8. Grasso A1, Malfatti F1 and Andraghetti G2. (2015): HOMA, BMI, and Serum Leptin  Levels Variations during Antiviral Treatment Suggest Virus-Related Insulin Resistance in Non cirrhotic, Non obese, and  Nondiabetic Chronic Hepatitis C Genotype1 Patients. Gastro enterol Res Pract, 2015 :1-  7.
9. Grebely J and Dore GJ (2011): What is killing people with hepatitis C virus infection? Semin Liver Dis, 31(4):331–9.
10. Guo X ,Jin M, Yana M and Lin K. (2013): Type 2 DM and risk ofHepatitis C virus infection . Sci. Rep., 18 (3) : 2981 - 9.
11. Hill NR, Levy JC and Matthews DR.(2013) : Expansion of B-cell function and insulin resistance to enable clinical trial out come. Diabetes Care, 36(8):2324–30.
12. Hsu YC, Lin JT Kao YHHuang YTHsiao NWWu MSLiu YYWu CY and Ho HJ. (2014): Antiviral treatment for hepatitis C virus infection is associated with improved renal and cardiovascular outcomes in diabetic patients. Hepatology, 59(4):1293–302.
13. Huang JF, Dia CY and Yu M. (2011): Peyglated interferon plus ribavirin therapy improve pancreatic beta cell function . Liver int., 31(8):1155–62.
15. Kayo T, Hisami YO, Akira M, Taki NMitsuo SToshio D  and  Eiji T. (2014): Insulin resistance as early sign of hepatic dysfunction in liver cirrhosis. The Journal of Medical Investigation, Vol. 61 No 1.2: p. 180-189 .

16. Kawaguchi M, Hirokazu T,  Keisuke A,  Toru Y,  Yuichiro E  and Noriko O. (2009): Eradication of hepatitis C virus by interferon improves whole-body insulin resistance and hyperinsulinaemia in patients with chronic hepatitis C. Liver Int.,  29(6):871-7.

17. Khattab MA, Eslam M, Hamdy L and Sharwae MA  (2012):  Seroprevalence of hepatitis C and B among blood donors in Egypt: Minya Governorate, 2000–2008. Am J Infect Control, 38 (8): 640-641.

18. Khattab MD, Mohammed E and Mohammed S  (2010):  Insulin Resistance Predicts Rapid Virologic Response to Peginterferon/Ribavirin Combination Therapy in Hepatitis C Genotype 4 Patients. Am J Gastroenterol , 105:1970–1977.

19. Lavanchy D (2009): The global burden of hepatitis C. Liver Int, 29(Suppl 1):74–81.

20. Laure E, Pierve E, Paradis, Richard M, Shiv S and Dominique V. (2016): Diabetas mellitus in patiens with cirrhosis: clinical implications and management. Liver international Journal, volum 36:issue 7 pag 936–948.

21. Milner KL1, van der Poorten D and  Trenell M. (2010): Chronic hepatitis C is associated with peripheral rather than hepatic insulin resistance. Gastroenterology, 138(3):932-41.

22. Mitsuyoshi H, Itoh Y, Minami M, Yasui K, Nakashima T, Okanoue T and Sumida Y. (2008): Evidence of oxidative stress as a cofactor in the development of insulin resistance in patients with chronic hepatitis C. Hepatol Res, 38(4):348–53.

23. Nezam H A. (2012): Fibroscane (Transient Elastography)for the measurement of liver fibrosis.  Gastroenterol Hepatol (N Y), 8(9): 605–607.

24. PavoneP, Tieghi T, Lichtner MMarocco RMezzaroma IPassavanti GVittozzi PMastroianni CMVullo V and Ettorre G. (2016): Rapid decline of fasting glucose in HCV diabetic patients treated with direct-acting antiviral agents. Clin Microbiol Infect, 22(5):462 - 3.
25. Romero G, Fernandez R,  Andrade D. M, Alonso S, Planas R, Solá R, Pons JA, Salmerón J, Barcena RPerez RCarmona I and  Durán S. (2008): Effect of sustained virological response to treatment on the incidence of abnormal glucose values in chronic hepatitis C. J Hepatol , vol. 48 (5):721-7 .
26. Smythe G, Milner KL, Dore GJ, Zekry A, Weltman M, Fragomeli V, George J, Chisholm DJ and van derPoorten D. (2010): Chronic hepatitis C is associated with peripheral rather than hepatic insulin resistance. Gastroenterology , 138(3):932–41.

27. Suhag P, Raxitkumar J ,  Suthat L  and  Ravi P. (2016): Insulin resistance is associated with significant liver fibrosis in chronic hepatitis C patients: A systemic review and meta-analysisClin Gastroenterol,  50(1): 80–84.

28. Thompson AJ , Keyur P , Wan-L C , Eric J. Lawitz, Maribel RT, Vinod K, Robert F, Stephen P, Moises D, Sanjeev A, Graham R F, Michael T, Yves B, David R N, Mark S, Stefan Z, Erik P,  Mani S and John G M. (2012): Viral clearance is associated with improved insulin resistance in genotype 1 chronic hepatitis C but not genotype 2/3. Gut, 61(1): 128–134.

29. Vanni E, Bugianesi E and Saracco G  (2016): Treatment of type 2 diabetes mellitus by viral eradication in chronic hepatitis C: Myth or reality? Dig Liver Dis ,48(2):105–11.

30. Wedemeyer I, Bechmann LP, Jochum C, Marquitan G, Drebber U, Gerken G, Gieseler RK, Dienes HP, Canbay A and Odenthal M. (2009): Adiponectin inhibits steatotic CD95/Fas up-regulation by hepatocytes: therapeutic implications for hepatitis C. J Hepatol., 50:140–149 .
31. White DL, Ratziu V and El-Serag HB. (2008): Hepatitis C infection and risk of diabetes: a systematic review and meta-analysis. J Hepatol, 49(5):831–44.
32. Wilkin t, Malcalm JK, Ranin A and Schade RR (2010): Hepatitis c: Diagnosis and treatment. American Family Physician, 81:1351–7.
33. Younossi Z M, Maria S, Fang Y Younossi Y Mir H , Srishord M  andMariam A (2011): Changes in the Prevalence of the Most Common Causes of Chronic Liver Diseases in the United States From 1988 to 2008. Clinical Gastroenterology and Hepatology, Volume 9, Issue 6 : Pages 524–530.