30 June 2014: Clinical Research
Monocyte chemoattractant protein-1 gene (MCP-1 -2518 A/G) polymorphism and serological markers of hepatitis B virus infection in hemodialysis patients
Alicja E. Grzegorzewska ABCDEFG , Dominik Pajzderski BCE , Anna Sowińska C , Paweł P. Jagodziński ACG
DOI: 10.12659/MSM.891009
Med Sci Monit 2014; 20:1101-1116
Abstract
BACKGROUND: The role of MCP1-2518 A/G in hepatitis B virus (HBV) infection is controversial. Our aim was to evaluate the frequency distribution of MCP1-2518 A/G (rs1024611) polymorphic variants in hemodialysis (HD) patients without or with type 2 diabetes in relation to serological markers of HBV infection.
MATERIAL AND METHODS: HD patients (n=170, 48 with diagnosis of type 2 diabetes), who tested positive for total antibodies to HBV core antigen (anti-HBc), underwent MCP1 genotyping using polymerase chain reaction-restriction fragment length polymorphism assay. Anti-HBc was accompanied by antibodies to HBV surface antigen (anti-HBs) in 127 individuals. In anti-HBc-positive/anti-HBs-negative patients, HBV surface antigen (HBsAg) was shown in 15 patients and isolated anti-HBc were present in 28 patients. The distribution of MCP1 genotypes in anti-HBc-positive patients was compared to that in healthy subjects (n=437) and anti-HBc-negative HD patients (n=754).
RESULTS: There were no significant differences (Ptrend >0.05) in distribution of MCP1 genotypes between anti-HBc-positive patients, anti-HBc-negative subjects, and controls, regardless of anti-HBs or diabetic status. The MCP1-2518G allele prevalence was higher in HBsAg-positive/anti-HBs-negative patients defined as HBV carriers compared to MCP1-2518G allele frequency shown in groups composed of HBsAg-negative HD individuals and controls (50% vs. 28%, Ptrend 0.022).
CONCLUSIONS: A frequency distribution of MCP1 polymorphic variants is not associated with anti-HBs development in response to HBV infection in HD patients, independent of diabetic status, but the MCP1-2518G allele may predispose to HBsAg persistence (HBV carrier status).
Keywords: Chemokine CCL2 - genetics, Case-Control Studies, Biological Markers - blood, Demography, Diabetes Mellitus - genetics, Hepatitis B - virology, Hepatitis B Core Antigens - immunology, Hepatitis B Surface Antigens - immunology, Hepatitis B virus - physiology, Polymorphism, Single Nucleotide - genetics, Renal Dialysis
Background
Patients undergoing chronic hemodialysis (HD) treatment due to end-stage renal disease (ESRD) are at risk of infection with blood-borne viruses, including hepatitis B virus (HBV). Total antibodies to HBV core antigen (anti-HBc) are an established marker of current (IgM) or previous (IgG) infection with HBV if they are positive in the confirmatory tests and reactive in determinations repeated over time [1,2]. Anti-HBc appear as a result of HBV transmission to non-vaccinated or non-successfully hepatitis B vaccinated individuals, but they may also elicit in vaccinated HD patients with maintained protective levels (>10 U/l) of antibodies to HBV surface antigen (anti-HBs) [3]. Immune tolerance to viral antigens, like HBV surface antigen (HBsAg), results in a lack of development of anti-HBs and persistence of HBsAg in the bloodstream. Patients who are HBsAg-positive and simultaneously anti-HBs-negative are commonly defined as HBV carriers. The mechanisms responsible for promotion or inhibition of anti-HBs generation and HBsAg clearance are not fully understood. Monocyte chemoattractant protein-1 (MCP-1), referred also as chemokine (C-C motif) ligand 2 (CCL2), has been suggested to be a link in the chain involved in the hepatitis B outcome [4,5].
Individuals with occult hepatitis B – defined as the presence of HBV DNA in liver/serum with undetectable HBsAg – had significantly increased levels of MCP-1 compared to the healthy controls and patients that had resolved HBV infection (HBsAg-negative, anti-HBs-positive) [5]. MCP-1 expression level in the liver was higher in chronic hepatitis B complicated with non-alcoholic fatty liver diseases than that shown in hepatitis B without such concomitant diseases [6]. MCP-1 was significantly up-regulated in patients with hepatocellular carcinoma, showing HBV infection in over 50% of cases [7]. These data indicate that higher MCP-1 level is generally associated with worse clinical condition in HBV infection. Serum levels of MCP-1 increase with deterioration of renal function and are higher in HD patients than in healthy individuals [8–12]. The promoter region of the MCP-1 gene (
The aim of our study was to evaluate the frequency distribution of
Material and methods
PATIENTS AND CONTROLS:
One hundred seventy HD patients showing positive total anti-HBc were enrolled into the study (99 men, age 61.0±14.7 years, renal replacement therapy vintage 3.1, 0.05–26.3 years). Subjects with isolated anti-HBc positivity (HBsAg-negative, anti-HBc-positive, anti-HBs-negative) were also included. Only patients who had confirmatory assays and consistently maintained positive anti-HBc status were enrolled.
Anti-HBc-positive patients were never hepatitis B vaccinated and accounted for 18.4% of HD subjects (n=924) tested for serologic markers of HBV infection. Thirteen patients had a history of acute hepatitis B. Anti-HBc was accompanied by anti-HBs in 127 individuals: 126 patients showed classical serologic pattern of HBV resolution (HBsAg-negative, anti-HBs-positive), indicating spontaneous recovery from HBV infection; 1 patient in this group was both HBsAg- and HBV DNA-positive. In anti-HBc-positive/anti-HBs-negative patients (n=43), HBsAg positivity was shown in 15 patients (classical serologic pattern of HBV carrier status), and isolated anti-HBc seropositivity (HBsAg-negative, anti-HBc-positive, anti-HBs-negative) was present in 28 patients. HBV DNA testing (detection limit 250 copies ml-1) was positive in 11 HBV carriers (1 patient had a negative test result for HBV DNA, and 3 patients were not investigated). All HBsAg-positive patients (n=16) accounted for 1.7% of all tested subjects.
In the anti-HBc-positive HD group there were 48 patients with type 2 diabetes mellitus (DM), and no patients with type 1 DM. Type 2 DM was a cause of diabetic nephropathy leading to ESRD and HD treatment in all 48 patients. Selected demographic and clinical data of main groups of anti-HBc-positive HD patients are shown in Table 1.
Unrelated blood donors and healthy volunteers served as controls for distribution of MCP1-2518 A/G (rs1024611) polymorphic variants (n=437). This control group was also used in our earlier studies [20,21]. Additionally, results of MCP1 genotype distribution in anti-HBc-positive HD patients were compared to those of anti-HBc-negative HD patients (n=754) described in our recent study [21]. The latter group consisted of 601 anti-HBs-positive patients due hepatitis B vaccination and 153 non-responders to hepatitis B vaccination (anti-HBs-negative).
All examined subjects were of white race.
GENOTYPING:
MCP1 rs1024611 genotyping was determined by polymerase chain reaction-restriction fragment length polymorphism, as previously described [20].
LABORATORY METHODS:
Serologic markers of HBV infection and serum activities of liver enzymes were determined by the methods previously described [22].
STATISTICAL METHODS:
Results are presented as percentage for categorical variables, as mean with 1 standard deviation for normally distributed continuous variables, or as median with range for not normally distributed continuous variables. Statistical tests used for comparison of data obtained in selected groups are indicated at each P value.
Hardy-Weinberg equilibrium (HWE) was tested to compare the observed genotype frequencies to the expected ones using the chi-square test. The Fisher exact probability test or chi-square test were used to evaluate differences in genotype and allele prevalence between the examined groups. The odds ratio (OR) with p value and 95% confidence intervals (95% CI) value were calculated. Polymorphisms were tested for association using the chi-square test for trend (Ptrend). The Fisher exact test was used for power analysis.
Values of P<0.05 were judged to be significant. All probabilities were 2-tailed.
Statistical calculations were performed using GraphPad InStat 3.10, 32 bit for Windows, created July 9, 2009 (GraphPad Software, Inc., La Jolla, USA), CytelStudio version 10.0, created January 16, 2013 (CytelStudio Software Corporation, Cambridge, USA), and Statistica version 10, 2011 (Stat Soft, Inc., Tulsa, USA).
ETHICAL APPROVAL:
The research design was approved by the Institutional Review Board of Poznań University of Medical Sciences, Poland. Informed consent was obtained from all study participants.
Results
There was no significant deviation from the HWE in the genotype frequencies in all anti-HBc-positive HD patients, non-DM and DM groups, as well as anti-HBs-positive and anti-HBs− negative groups (Supplementary Table 1).
Statistical analyses did not show significant differences in
The significant differences in
Discussion
The past decades have brought important changes in recognition of outcome of HBV infection. A discovery of HBV covalently closed circular DNA (cccDNA) organized into mini-chromosomes within the nucleus of HBV-infected cells have presented new challenges for researchers and clinicians who focus on complete cccDNA eradication as a target for antiviral therapy [23,24]. Therefore, disappearance of cccDNA from infected cells (hepatocytes) could be an indicator of resolution of HBV infection. Commonly used serologic markers of HBV infection help to stratify the HBV-infected individuals according to their infectivity rather than in respect to HBV eradication and total dissolution of hepatitis B infection. They change over time and may disappear throughout the lifespan. Such a possibility needs to be taken into account in stratification of infected patients for those with a high probability of HBV replication (HBV DNA usually detectable using standard determinations) or those who currently do not replicate HBV or replicate at low levels, routinely undetectable. HD subjects are in good position in diagnosis of HBV infection because they undergo periodic examinations of basic serologic HBV markers on a mandatory basis. However, it is also possible that HBV-infected patients with occult hepatitis B may be negative for all serological markers of HBV infection except HBV DNA [25]; this indicates a tremendous variability in chronic immunological reactions to HBV transmission. Our main purpose was to examine the possible association of
Comparison of
Stimulations with HBsAg and different fusion proteins eliciting moderate or high MCP-1 levels [with concomitant differences in tumor necrosis factor α (TNF-α), interleukin (IL)-12, IL-10, interferon-γ, and IL-6)] did not result in a significant difference in anti-HBs levels in transgenic mice [4], and reductions in serum and liver HBsAg levels were dependent on stimulation. High level productions of TNF-α and MCP-1 caused a more severe cytotoxicity in hepatocytes and were less effective in reducing serum HBsAg level. Studies by Meng et al. [4], although not exclusively related to MCP-1, clearly demonstrate that differences in MCP-1 concentrations do not correlate with anti-HBs levels but may be important for HBsAg clearance. It has been suggested that the anti-HBs response alone cannot account for the reduction of HBsAg [4], although anti-HBs appearance in the bloodstream is usually associated with HBsAg clearance. Therefore, a lack of association between
Differences in
A weak point of this study is the small number of HBsAg-positive patients (HBV carriers). In the Greater Poland region of our country, the prevalence of HD patients infected with blood-borne viruses decreases every year due to rigorous sanitary regimen in dialysis facilities, and full implementation of hepatitis B vaccination in dialysis patients and medical staff. We consider this part of our study as preliminary field research, although it appears to be the first study on the association of
Conclusions
In this study we have demonstrated that
Tables
Supplementary Table 1. The distribution of MCP1 rs1024611 genotypes in anti-HBc positive HD patients in respect to HWE.
Supplementary Table 2. Comparison of the distribution of MCP1 rs1024611 polymorphic variants in anti-HBc negative and anti-HBc positive HD without or with DM.
Supplementary Table 3. Comparison of the distribution of MCP1 rs1024611 polymorphic variants in anti-HBs-positive HD due to vaccination or infection
Supplementary Table 4. Comparison of the distribution of MCP1 rs1024611 polymorphic variants in anti-HBs-negative hemodialysis (HD) patients despite vaccination or infection.
Supplementary Table 5. Comparison of the distribution of MCP1 rs1024611 polymorphic variants between HD patients with isolated anti-HBc positivity and HD patients with HBV resolution.
Supplementary Table 6. Distribution of main demographic and clinical data in the entire group of anti-HBc positive hemodialysis patients selected according to genotypes of MCP1 rs1024611.
Supplementary Table 7. Comparison of the distribution of MCP1 rs1024611 polymorphic variants in all anti-HBc positive HD patients as well as in non-DM and DM patients to respective genotype frequencies in controls.
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Tables
Supplementary Table 1. The distribution of MCP1 rs1024611 genotypes in anti-HBc positive HD patients in respect to HWE.
Supplementary Table 2. Comparison of the distribution of MCP1 rs1024611 polymorphic variants in anti-HBc negative and anti-HBc positive HD without or with DM.
Supplementary Table 3. Comparison of the distribution of MCP1 rs1024611 polymorphic variants in anti-HBs-positive HD due to vaccination or infection
Supplementary Table 4. Comparison of the distribution of MCP1 rs1024611 polymorphic variants in anti-HBs-negative hemodialysis (HD) patients despite vaccination or infection.
Supplementary Table 5. Comparison of the distribution of MCP1 rs1024611 polymorphic variants between HD patients with isolated anti-HBc positivity and HD patients with HBV resolution.
Supplementary Table 6. Distribution of main demographic and clinical data in the entire group of anti-HBc positive hemodialysis patients selected according to genotypes of MCP1 rs1024611.
Supplementary Table 7. Comparison of the distribution of MCP1 rs1024611 polymorphic variants in all anti-HBc positive HD patients as well as in non-DM and DM patients to respective genotype frequencies in controls. In Press
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