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ISSN: 2161-0703
Journal of Medical Microbiology & Diagnosis
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Genetic Basis of Chronic Hepatitis C Virus and Autoimmune Hepatitis: A Comparative Study

Shalaa AY1, Harfoush RA1, Ahmed MA2, ElKhouly EH3 and Morsi MG1*

1Medical Microbiology &Immunology, Alexandria Faculty of Medicine, Egypt

2Clinical Pathology (Hematology), Alexandria Faculty of Medicine, Egypt

3Tropical Department, Alexandria Faculty of Medicine, Egypt

*Corresponding Author:
Mona Gamal Morsi
Medical Microbiology & Immunology
Alexandria Faculty of Medicine, Egypt
Tel: 01005171621
E-mail: [email protected]

Received date: April 15, 2013; Accepted date: June 21, 2013; Published date: July 01, 2013

Citation: Shalaa AY, Harfoush RA, Ahmed MA, ElKhouly EH, Morsi MG (2013) Genetic Basis of Chronic Hepatitis C Virus and Autoimmune Hepatitis: A Comparative Study. J Medical Microbiol Diagnosis S1:004. doi:10.4172/2161-0703.S1-004

Copyright: © 2013 Shalaa AY, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

Background: It is now well established that HCV is of global importance affecting all countries, leading to a major global health problem that requires widespread active interventions for its prevention and control. Chronic hepatitis C was linked to the development of cirrhosis and Hepatocellular Carcinoma (HCC) in many areas of the world. WHO reported that Egypt has the highest prevalence (22%) in the world? Objectives: Susceptibility to infection has been related to immunological disturbances.HCV and autoimmune hepatitis have been associated with HLA A1, A6, A8,-DRB∗01-∗15 alleles. Methods: HLA alleles were detected by Sequence Specific Oligoneucleotide Probe (SSOP) using INNO-LiPA based on reverse hybridization after amplification of target HLA allele sequence by Real Time Polymerase Chain Reaction (RT-PCR). The non-organ-specific Antibodies Include Antinuclear (ANA), Smooth Muscle (ASMA), Anti- Mitochondrial Antibody (AMA), Perinuclear Antineutrophil Cytoplasmic(pANCA), Liver-Kidney Microsomal Antibodies (LK/MA) and Anticardiolipn Antibodies (ACA) were all measured by commercial Indirect ImmunoFluorescence (IF). Clinical significance of these autoantibodies was analyzed in comparison to HCV load by Real Time Polymerase Chain Reaction (RT-PCR) and genotype by 4 byline probe assay INNO-LiPA. Conclusion: Current understanding of genetic basis (HLA alleles) of chronic HCV genotype4 cases and autoimmune hepatitis cases free from HCV will aid a lot in treating both types of hepatitis using successful line of therapy as early as possible to save money and side effects of wrong medications.

Keywords

HCV genotype 4; HCV viral load; RT-PCR; INNO-LiPA; autoantibodies; IF HLA alleles; SSOP

Introduction

Hepatitis C virus is a hepatotropic and lymphotropic virus that has been found to be associated with various diseases and syndromes. Infection with HCV tends to become chronic in most infected individuals, reflecting an inability of the immune system to mount an effective antiviral response [1]. Autoimmune hepatitis is associated with chronic HCV infection [2]. Autoimmune hepatitis is a chronic disease of unknown cause, characterized by continuing hepatocellular inflammation and necrosis and tending to progress to cirrhosis. Immune serum markers frequently are present, autoantibodies against liverspecific and non–liver-specific antigens and increased immunoglobulin G (IgG) levels [3].

In August 2012, the Centers for Disease Control and Prevention (CDC) expanded their existing, risk-based testing guidelines to recommend a 1-time blood test for Hepatitis C Virus (HCV) infection in baby boomers—the generation born between 1945 and 1965, who account for approximately three fourths of all chronic HCV infections in the United States—without prior ascertainment of HCV risk.

The proposed pathogenesis of autoimmune hepatitis involves the combination of genetic predisposition and environmental triggers. The genetic predisposition may relate to several defects in immunologic control of autoreactivity. An environmental agent triggers the autoimmune response against liver antigens, causing necroinflammatory liver damage, fibrosis, and, eventually, cirrhosis, if left untreated [4].

Genetic susceptibility to developing autoimmune hepatitis has been associated with the HLA haplotypes B8; B14, DR3, DR4, and Dw3. C4A gene deletions are associated with the development of autoimmune hepatitis in younger patients [5]. HLA-DR3–positive patients are more likely than other patients to have aggressive disease, which is less responsive to medical therapy and more often results in liver transplantation; in addition, these patients are younger than other patients at the time of their initial presentation. HLA-DR4–positive patients are more likely to develop extrahepatic manifestations of their disease [6]. Among the several viruses implicated as triggering agents are rubella, Epstein-Barr, and hepatitis A, B, and C. Some authors have shown a high amino acid sequence homology between hepatitis C virus (HCV) polyprotein and CYP2D6, the molecular target of Liver-Kidney Microsomal type 1 (LKM-1) antibody, which suggests that molecular mimicry, may trigger production of LKM-1 antibody in HCV infection [7]. Current evidence suggests that liver injury in a patient with autoimmune hepatitis is the result of a cell-mediated immunologic attack. Aberrant display of Human Leukocyte Antigen (HLA) class II on the surface of hepatocytes facilitates the exposure of normal liver cell membrane constituents to Antigen-Presenting Cells (APCs) [8]. The reasons for the aberrant HLA display are unclear. It may be initiated or triggered by genetic factors, viral infections (e.g., acute hepatitis A or B, Epstein-Barr virus infection), and chemical agents (e.g., interferon, melatonin, alpha methyldopa, oxyphenisatin, nitrofurantoin, tienilic acid) [9]. As the etiology of autoimmune hepatitis is unknown. Several factors (e.g., viral infection, drugs, environmental agents, genetic factors) may trigger an autoimmune response and autoimmune disease. So, the current study will illustrate some genetic (HLA alleles) associated with clinical course and outcome of HCV and autoimmune hepatitis aiming at successful therapy of both conditions.

Subjects and Methods

Eighty adult patients with abnormal liver function tests (40 chronic HCV and 40 autoimmune hepatitis free of HBV and HCV) were enrolled in the current study selected from Tropical department of Alexandria Main University Hospital and Alexandria Armed Forces Hospital as well as 20 age and sex matched healthy controls. Exclusion criteria were cardiac, renal, diabetic, hypertensive and HIV positive cases. Their ages ranged (16-64 years) with a mean of (38 ± 12.5 years). Twenty unrelated healthy controls chosen from health care workers were included in the current study. All subjects (cases and controls; 100 in number) were 36 males (36%) and 64 females (64%). An informed consent was taken from all enrollees before sampling. Investigations done to all enrollees were; full history taking, clinical examination and the following laboratory tests [10-12] i. Complete blood picture using an automated cell counter (sysmex (KX-21 N), Roche, Japan), ii. Liver function tests (ALT, AST, bilirubin, albumin, alkaline phosphatase and gamma glutamyl transferase using Dimension RxL (Dad Behring Germany). iii. Detection of HBsAg, HBe Ag, HBc IgM by ELISA (Behring), and HCV Ab using (Ortho 3rd generation ELISA,USA) technique. iv. Detection and quantitation of HCV RNA by Real Time Polymerase Chain Reaction (RT- PCR). v. Genotyping of HCV by line probe assay INNOLiPA (Innogenetics, USA)-Detection and semiquantitation of ANA, ASMA, AMA, AL/KM and p-ANCA auto-antibodies using Immugloauto- antibody test system (Immco diagnostics,USA) by indirect immunofluorescent technique (IF). While anticardiolipin (ACA) was done by commercial Enzyme Linked Immunosorbant Assay (ELISA). Patients sera were incubated in mouse kidney/stomach/liver substrate sections for (ANA, ASMA, and AMA) and on human neutrophil substrate for p-ANCA to allow binding of antibodies to substrate. Any antibody not bound was removed by rinsing the slide. Bound antibodies of IgG class were detected by incubation of substrate with fluorescein with substrate labelled-antihuman IgG conjugate. The reactions were observed under fluorescent microscopy and presence of autoantibodies was demonstrated by an apple green fluorescence of specific structure in sera of patients. The titer was determined by testing serial dilutions and <20 was reported as a negative result. 6-HLA class II (DRB1*01*- DRB1*15) typing: genomic DNA was extracted from whole blood (after lysis by lysing buffer) using Qiagen spin column QIA amp® DNA Blood Mini Kit. HLA classII alleles were determined at the genotype level with 2digit intermediate/low resolution. This was performed using INNO-LiPA plus; a line probe assay designed for molecular typing of HLA alleles at the allele group level. The principle of the test was based on the reverse hybridization of the amplified biotinylated DNA sample which was chemically denatured, and the separated strands were hybridized with specific oligonucleotide probes immobilized as parallel lines on membrane-based strips. This was followed by a stringent wash step to remove any mismatched amplified material. After the stringent wash, streptavidin conjugate with alkaline phosphatase was added and bound to any biotinylated hybrid previously formed. Incubation with a substrate solution containing a chromogen resuted in a purple/brown precipitate. The reaction was stopped by a wash step, and the reactivity pattern of the probe was recorded. An amplification kit (INNO-LiPA HLA A*1-8 and DRB1*-15 amp Plus) was provided for standardized preparation of biotinylated amplified samples. The amplification kit was based on polymerase chain reaction (PCR). Amplification products were subsequently hybridized using 1 typing strip on which 37 sequencespecific DNA probes and 2 control probes were fixed. The INNO-LiPA HLA plus was designed to give the best possible resolution, at the allele group (this means the first 2 digits after the asterisk in an allele name when following standard HLA nomenclature e.g. HLA-DR1*01.

Data Analysis

Descriptive statistics included range, mean ± SD, median, frequencies (number of cases) and percentages when appropriate. Comparisons of numerical variables between the study groups were made using the Mann Whitney U test for independent samples. To compare categorical data, the Chi squared (χ2) test was used. When the expected frequency was less than 5, Fisher Exact test was used instead. Accuracy was represented using the terms sensitivity and specificity. Receiver operator characteristic analysis was used to determine the optimum cut off value for the studied tests. Various variables were tested for correlation using the Spearman rank correlation coeffeicient equation for non-normal variables (r). P values less than 0.05 were considered statistically significant. Normality of data was checked by the Kolmogorov Smirnov test. Our methods violated the normal assumption; therefore, the data were analyzed using non-parametric tests. Two-tailed tests were used where appropriate. All statistical calculations were performed using the computer programs Microsoft Excel 2007 (Microsoft Corporation, NY, and United States) and SPSS (Statistical Package for the Social Sciences; SPSS Inc., USA) version 15 for Microsoft Windows.

Results

In Table 1, comparing the different groups according to HCV RNA levels, it was statistically significant (KWp=0.008).

  Chronic HCV
(n = 20)
Cirrhotics
(n = 20)
Test of sig.
HCV RNA ×104      
Min. – Max. 2.14 – 160.0 16.31 – 1528.10 KWp = 0.008*
Mean ± SD 51.01 ± 47.85 251.72 ± 43.85
Median 38.50 83.36
MWp1   0.003*  
MWp2      

Table 1: HCV RNA levels among Chronic HCV cases group I.

Table 2 illustrates HCV viral load among chronic HCV cases (group I). According to total cases (40 chronic HCV; 20 with and 20 without cirrhosis), (13%) were low viremia, (60%) were moderate, (23.3%) were high and only (3.3%) were presenting with very high HCV RNA viral load.

HCV viral load (IU/ml) Chronic HCV
(n = 20)
Cirrhotics
(n = 20)
Total  (n = 40)
  No % No % No %
Very low (<104) 0 0.0 0 0.0 0 0.0
Low (104 - 105) 6 30.0 0 0.0 8 13.3
Moderate (105- 106) 12 60.0 12 60.0 36 60.0
High (106 - 107) 2 10.0 6 30.0 14 23.3
Very high (>107) 0 0.0 2 10.0 2 3.3

Table 2: HCV viral load among chronic HCV cases (group I).

According to results of autoantibody test system, patients with autoimmune hepatitis (AIH no. 40) group II were at least giving a positive high titer with one of these sero markers. Table 3 shows the sensitivity of ANA, ASMA, AMA, AL/KM, p-ANCA and ACA was 48.6%, 51.4%, 2.7%, 8.1%,56.8% and 18.9% respectively with high specificity( 100% for all antibodies except for ANA 95.7%, ASMA 87% and ACA 75.4%. However, using a complete profile of autoantibodies increased the overall sensitivity to 100% and specificity to 91.4%. Table 4 shows the frequency of HLA-A1, A6, and A8 & DRB*1-15 alleles among chronic HCV (group I), autoimmune hepatitis (group II) and controls (group III).

Variables tested Frequency% Sensitivity% Specificity% Positive predictive value% Negative predictive value%
ANA 45 48.6 95.7 94.7 53.7
ASMA 47.5 51.4 87 86.4 52.6
AMA 2.5 2.7 100 100 39
AL/KM 7.5 8.1 100 100 40.4
p-ANCA 52.5 56.8 100 100 59
ACA 17.5 18.9 75.4 76.6 30.2
Complete profile of autoantibodies                        100           91.4                    95.1                        100            

Table 3: Test performance among patients with suspected autoimmune hepatitis (groupII).

HLA alleles Chronic HCV (n=40)
No.  (%)
Autoimmune hepatitis  (n=40)
No.  (%)
Controls (n=20)
No.  (%)
P of Fisher exact test
HLA A1 40 (100%) 6 (13%) 20 (100%) 0.003*
HLA A6 20 (50%) 34 (90%) 15 (75%) 0.002*
HLA A8 20 (50%)  40 (100%)    5 (25%) 0.003*
HLA DRB1* 01 1 (2.5%) 1 (2.5%) 6 (38.5%) 0.324
HLA DRB1* 02 1 (2.5%) 1 (2.5%) 10 (50%) 0.456
HLA DRB1* 03 1 (2.5%) 28 (70%) 8 (40%) 0.005*
HLA DRB1* 04 1 (2.5%) 7 (17.5%) 12 (60%) 0.005*
HLA DRB1* 05 1 (2.5%) 26 (65%) 1(5%) 0.003*
HLA DRB1* 06 0 (0%) 1 (2.5%) 1(5%) 0.800
HLA DRB1* 07 24 (60%) 0 (0%) 0(0%) 0.004*
HLA DRB1* 08 4 (10%) 1(2.5%) 1(5%) 0.732
HLA DRB1* 09 8 (20%) 1(2.5%) 1(5%) 0.160
HLA DRB1* 10   9 (22.5%) 1 (2.5%) 0(0%) 0.345
HLA DRB1* 11 16 (40%) 0(0%) 0(0%) 0.005*
HLA DRB1* 12 2 (8%) 1(2.5%) 0(0%) 0.123
HLA DRB1* 13   5 (9.5%) 1(2.5%) 0(0%) 0.234
HLA DRB1* 14 2 (8%) 1(2.5%) 0(0%) 0.546
HLA DRB1* 15   5 (9.5%) 0(0%) 0(0%) 0.675

Table 4: Frequency of HLA-A1, A6, A8 & DRB*1-15 alleles among chronic HCV (groupI), Autoimmune hepatitis (groupII) and controls (groupIII).

Discussion

Autoimmune hepatitis (AIH) is an unresolving hepatocellular inflammation of unknown cause that is characterized by presence of periportal hepatitis on histologic examination, tissue antibodies in serum and hypergammaglobulinemia [13]. In the current study the sensitivity of ANA, ASMA, AMA, AL/KM, p-ANCA and ACA was 48.6%, 51.4%, 2.7%, 8.1%, 56.8% and 18.9% respectively with high specificity (100% for all antibodies except for ANA 95.7%, ASMA 87% and ACA 75.4%). However, using a complete profile of autoantibodies increased the overall sensitivity to 100% and specificity to 91.4%. These findings were in agreement with [14]. They postulated that simultaneous presence of more than one antibody increased the probability of AIH diagnosis [14]. Other investigators reported high specificity (100%) and 81% sensitivity among their AIH cases [15]. Furthermore, other researchers found that these autoantibodies could be used as useful prognostic markers [16].

The mechanism of autoimmunity is not fully understood but may involve binding of antigenic peptides to human leucocyte antigen (HLA) [17]. Several researchers have tried to establish a relationship between HLA class I & II and chronic hepatitis either by HCV or autoimmune mechanism however, the results were inconsistent. With the development of polymerase chain reaction (PCR), the identification of HLA alleles at the DNA level had allowed more precise determination of susceptible epitopes showing a strong association with various viral and autoimmune hepatitis [18].

In the present study HLA A1, DRB1*07, DRB1*11 were highly associated with chronic HCV cases (p<0.003*, 0.004*, 0.005 respectively compared to controls. While DRB1*03, DRB1*04 controls were not infected with HCV, denoting that these may be protective alleles against HCV infection. These findings were in accordance with others done elsewhere who claimed that DRB1*07 is the allele associated with persistence of HCV and non response to Interferon, while HLADR*11 was associated with self limiting and spontaneous clearance of the virus [2,19-22]. Among our autoimmune hepatitis cases HLAA6, A8 and DRB1*03 and DRB1*05 were the predominant alleles (p<0.002*, 0.003*, 0.005*, 0.003*) respectively. Researches done allover the world reported similar findings [3,6,19].

We can conclude that certain HLA alleles of class I or and II could be associated with both hepatitis (either caused by HCV or autoimmune) and can predict clinical course and outcome of the disease. Also, our findings could help clinicians in selecting proper regimen as early as possible saving money and complications of wrong medications.

Acknowledgement

We would like to acknowledge Alexandria Main Armed Forces Hospital and Alexandria Faculty of Medicine, Egypt who sponsored materials and equipment used in our current study.

References

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