Introduction
Hepatitis C virus (HCV) constitutes an infection of global importance, affecting all countries and creating a major global health problem that requires widespread active interventions for its prevention and control [1]. About 71 million people are chronically infected and more than 400,000 people die every year from HCV-related liver diseases [2]. Eighty percent of acute HCV cases progress to chronic infection, which may lead to liver fibrosis, cirrhosis and hepatocellular carcinoma [3]. Twenty-two percent of new cases of liver cancer that occur each year are attributable to HCV infection [4].
HCV treatment with the standard combination of pegylated interferon-α (PegIFN-α) plus ribavirin has an estimated success rate of 50% for genotype 1 and about 80% for genotypes 2 and 3 [5,6]. The use of direct antiviral agents has significantly greater effectiveness; nevertheless, their high cost inevitably limits their global use. Thus, studies of potential prognostic factors for the outcomes of classical therapy are still considered useful.
Recently, host-related prognostic factors have been described [7]. Patients carrying the good response rs12979860 C/C interleukin (IL) 28B genotype have been reported to present a two- to threefold higher rate of sustained virological response (SVR) compared to patients with the poor response genotypes rs12979860 single nucleotide polymorphism C/T and T/T [8,9]. Additionally, an ΙFNλ dinucleotide variant (ss469415590) was studied [10]. Instead of TT, which is the “normal” genotype, the ΔG genotype leads to a novel gene product called IFNλ4, which seems to impair the clearance of HCV infection and the response to IFN-α therapy [11,12].
Recently, the presence of antibodies (Abs) against a new viral protein, called core+1/alternative reading frame (ARF), has been described. Core+1 protein is synthesized by a functional alternative open reading frame within the core genomic region, in the +1 reading frame [13,14]; the protein is conserved in all HCV genotypes [15,16] and its biological role remains elusive. Several studies suggest that core+1 protein has a possible role in the HCV life cycle [17,18]. Furthermore, Miladi et al, proposed a correlation between core+1 protein and the last stages of liver steatosis [19], while Dalagiorgou et al inferred a possible association between core+1 protein and the development of hepatocellular carcinoma [16,18,20].
In the present study, aiming to further unravel the biological role of core+1 protein, we investigated its potential relationship with the outcome of HCV standard combination therapy, as well as with other known host prognostic factors.
Patients and methods
Patients
A group of 139 consecutive patients with positive anti-HCV antibody (91 men and 48 women, aged 20-92 years) from the University Hospital of Alexandroupolis, Greece, gave their informed consent to join the study. Of these, 119 suffered from chronic HCV infection, while 20 had spontaneously cleared HCV. All patients were screened for the presence of anti-core+1 Abs using the ELISA method. Liver fibrosis was determined in all but one patient (who had an excessively high body mass index) by FibroScan. Twenty-nine patients were cirrhotic (stiffness >12.5 kPa, F4 METAVIR); all of them exhibited mild liver cirrhosis (Child-Pugh score A, mean model for end-stage liver disease [MELD] score 8.17). Thirty-three patients were not eligible to receive treatment. Eighty-six of 119 patients had been administered treatment with standard combination therapy (PegIFN-α and ribavirin). Fifty of them had achieved a SVR, while 36 were non-responders (Fig. 1).
Figure 1 Flowchart illustrating the patient population Abs, antibodies; HCV, hepatitis C virus
Detection of anti-core+1 Abs
The expression and purification of core+1 protein has been previously described in a previous publication by our group [21]. For the detection of anti-core+1 Abs we performed ELISA, also based on our previous experience [21]. In short, microplate wells were coated with 100 μL of a 1 μg mL-1 solution of core+1 antigen in 50 mM sodium carbonate (pH 9.6) overnight at 4°C. Next, the wells were washed with washing buffer (0.1% [v/v] Tween-20 in phosphate buffered saline [PBS] + 1% [w/v] non-fat dried milk) and blocked with PBST (0.1% [v/v] Tween-20 in PBS) containing 5% (w/v) milk for 1 h at 37°C. The wells were washed three times with washing buffer, after which 100 μL of serum diluted to 1:200 in washing buffer was added in triplicate wells and the plates were incubated overnight at 4°C. After incubation, the wells were washed three times with washing buffer and then incubated with 100 μL of peroxidase-conjugated rabbit anti-human IgG antibody (Dako) at a dilution of 1:4000 (in washing buffer) for 1 h at 37°C. After three more washes with washing buffer and two with PBST, the reaction was developed by adding 100 μL tetramethyl benzidine substrate (TMB substrate kit; Thermo Scientific) and incubating the plate for 10 min at room temperature in the dark. The peroxidase reaction was stopped by adding 100 μL of 2N H2SO4 and the absorbance was measured at 450 nm with a microplate reader (Bio-Rad). The cutoff value was determined as the mean optical density of the 51 healthy blood donors’ serum plus two standard deviations. Serum samples were considered as positive for anti-core+1 Abs when the absorbance measurement was above the cutoff value.
Statistical analysis
The chi-square test was used for comparisons between two or more binary or categorical variables. When two or more expected values were less than 5, Fisher’s exact test was preferred. Student’s t-test was used for comparisons between quantitative variables. Differences between distributions were checked using Levene’s test. SPSS 20.0 software was generally used. For Fisher’s exact test the statistical tool freely available at http://www.quantitativeskills.com/sisa/statistics/fiveby2.htm and hosted at http://www.statpages.org was preferred. The level of statistical significance was set to P<0.05. In cases where a value 0.1≤P≤0.05 was detected, further studies were suggested. All mean values are accompanied by their standard errors (SE) and are expressed with at least two significant digits.
Results
From the initial group of 139 patients, 20 presented spontaneous HCV clearance. Among the remaining 119, the prevalence of HCV genotypes was as follows: genotype 1, 44.54%; genotype 2, 13.45%; genotype 3, 28.57%; and genotype 4, 5.04%. HCV genotype was not available in 8.4% of patients.
Anti-core+1 Abs were measured in all 139 patients. The prevalence of anti-core+1 Abs in patients with chronic HCV infection (HCV-RNA positive) was 22.69% (27/119 patients): 24.53% in genotype 1, 31.25% in genotype 2, 17.65% in genotype 3 and 16.67% in genotype 4. All data are presented in detail in Table 1. In addition, we assessed the association between the presence of anti-core+1 Abs and treatment outcome, cirrhosis, IL28B and IFNλ4 polymorphisms, and spontaneous clearance of HCV.
Table 1 Characteristics of anti-core+1 Abs positive/negative patients
Comparison between specific anti-core+1 Abs and treatment outcome
Anti-core+1 Abs were available in all 86 treated patients. Fifty of them achieved SVR (responders), while 36 were non-responders. The prevalence of anti-core+1 was 18% (9/50 patients) in responders and 36.11% (13/36 patients) in non-responders. Using Fisher’s exact test, a level of statistical significance was observed between the presence of anti-core+1 Abs and non-response to treatment (P=0.050) (Table 2).
Table 2 Comparison between anti-core+1 antibodies (Abs) and treatment outcome (number of cirrhotic patients in parentheses)
Prevalence of specific anti-core+1 Abs in HCV-cirrhotic patients
Twenty-nine of our patients were cirrhotic (Child-Pugh A, mean MELD score 8.17). Five (17.24%) of the 29 cirrhotic patients were positive for anti-core+1 Abs while 24 (82.76%) were negative. Twenty-two (24.72%) of the 89 non-cirrhotic patients were positive for anti-core+1 Abs while 67 (75.28%) were negative. Comparison using the chi-square test did not reveal any level of statistical significance (Table 3).
Table 3 Comparison between anti-core+1 antibodies (Abs) and liver cirrhosis
Comparison between anti-core+1 Abs and host prognostic factors of treatment outcome
Using the chi-square and Fisher’s exact test in our sample, a statistically significant relationship between anti-core+1 Abs and IL28B genotypes was confirmed. The presence of Abs correlated with the poor response IL28B genotype TT (P=0.040) (Table 4). No association was found between the presence of anti-core+1 Abs and the “not-encouraging” IFNλ4 genotype ΔG/ΔG (P=0.090) (Table 5).
Table 4 Comparison between anti-core+1 antibodies (Abs) and interleukin (IL) 28B genotypes
Table 5 Comparison between anti-core+1 antibodies (Abs) and interferon (IFN) l4 genotypes
Comparison between specific anti-core+1 Abs and spontaneous clearance of HCV
Twenty of our 139 patients, 15 men and 5 women, aged 33-72 years, had spontaneously cleared HCV. Eight (40%) of them were positive for anti-core+1 Abs, while 12 (60%) were negative. No relationship was observed between the presence of Abs for the HCV core+1 protein and the spontaneous clearance of the virus (P=0.088 by Fisher’s exact test) (Table 6).
Table 6 Comparison between anti-core+1 antibodies (Abs) and spontaneous clearance
Discussion
In order to contribute to the elucidation of the biological role of core+1 protein, we investigated possible associations of anti-core+1 Abs with treatment outcome and known host prognostic factors, such as liver cirrhosis and genetic variations of IL28B and IFNλ4. The prevalence of anti-core+1 Abs in our study was 22.69%. This finding is consistent with a report by Karamitros et al [22]. However, a higher prevalence was noticed in other studies [23-25]; these results could be attributed to the fact that ELISA tests were performed using F protein (core+1 protein, which shares the first ten amino acids with core protein) [25]. In contrast, we used a core+1 protein lacking amino acid sequences upstream of the core codon 14 [21]. According to Karamitros et al, anti-core+1 Abs were persistently present during treatment and were linked to elevated levels of HCV-RNA at baseline [22]. However, like others [23,24,26], we were unable to confirm the latter (Table 1). Moreover, we failed to correlate anti-core+1 Abs with HCV genotype; this finding is in keeping with previous reports [22-25]. Finally, no correlation was observed with spontaneous clearance, although the relatively limited size of our sample raises a need for further investigation.
In our group, the largest ever studied, the presence of anti-core+1 Abs was found to be negatively correlated with the response to standard combination therapy. Our results are consistent with those of Gao et al [24] who analyzed a group of 72 Chinese patients and observed a lower prevalence of anti-core+1 Abs in those who achieved SVR. In contrast, Bain et al [26], followed by Cohen et al [23], did not find any correlation; however, both studies were limited by their small size (n=36 and n=27, respectively).
In the present study, we firstly describe an association of anti-core+1 Abs with the IL28B TT genotype. These results are consistent with the already known negative correlation of the IL28B TT genotype with SVR in response to standard combination therapy [7-9,27-30]. However, an association with the “not-so-encouraging” IFNλ4 ΔG/ΔG genotype [10-12,31] was not documented.
In a previous study, Ajorloo et al reported a 100% presence of anti-core+1 Abs in cirrhotics and 80% in patients without cirrhosis [32]. In contrast, only 17.24% of our cirrhotic patients were positive for anti-core+1 Abs. The discrepancy in the outcome may be attributed to use of the abovementioned F protein by Ajorloo’s group [21,32]. Moreover, Branch et al [18] and Miladi et al [19], as well as our group [21], reported an association of anti-core+1 Abs with advanced stages of cirrhosis. In the present study, no correlation between anti-core+1 Abs and liver cirrhosis emerged. However, all cirrhotic patients in the present study suffered from mild disease (Child-Pugh A, MELD score 8.17), whereas previous studies included only cirrhotic patients with advanced stages of the disease, pre-transplant candidates and patients with hepatocellular carcinoma.
In conclusion, the presence of anti-core+1 Abs is related to bad prognostic host factors and a poor response to standard combination treatment in HCV patients. These data suggest that core+1 may play a biological role in the course of HCV infection.
What is already known:
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Anti-core+1/alternative reading frame (ARF) antibodies (Abs) are present in patients chronically infected with hepatitis C virus (HCV)
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A higher prevalence of anti-core+1/ARF is observed in advanced cirrhosis and hepatocellular carcinoma
What the new findings are:
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Anti-core+1 Abs are related to a poor response to standard combination treatment in HCV patients
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Anti-core+1 Abs correlate with bad prognostic host factors