A single nucleotide polymorphism of the low molecular mass polypeptide 7 gene influences the interferon response in patients with chronic hepatitis C

Genetic polymorphisms of proteasome subunit genes of the MHC-I antigen-presenting system are associated with cervical cancer in a Chinese Han population

Proteasome subunit beta types 8 and 9 (PSMB8, PSMB9) play critical roles in the human leukocyte antigen class I (HLA I)-presenting system. Studies have suggested that polymorphisms in the PSMB8 and PSMB9 genes may influence the immune functions of PSMB8 and PSMB9, and thus be associated with various human cancers. We investigated associations involving single nucleotide polymorphisms (SNPs) rs2071543 in PSMB8, rs1351383, rs17587 and rs2127675 in PSMB9 and risk of cervical intraepithelial neoplasia (CIN) and cervical cancer in a Chinese Han population. A total of 543 patients with CIN, 1008 patients with cervical cancer, and 1120 healthy individuals were enrolled. Agena MassArray was used for SNP genotyping of PSMB8 and PSMB9. Associations involving these SNPs and risk of CIN and cervical cancer were analysed. Our results showed that the PSMB8 T/T and T/G genotypes of rs2071543 may be associated with a higher risk of CIN (P = 0.011, OR = 1.35,95% CI: 1.07-1.70) and cervical cancer (P = 0.006, OR = 1.31, 95% CI: 1.08-1.59). For rs17587, the A allele (P = 0.001, OR = 1.303, 95% CI: 1.115-1.522), and the A/A and A/G genotypes (P = 0.001, OR = 1.36, 95% CI: 1.13-1.63) may be risk factors for cervical cancer. These results indicated that PSMB8 rs2071543 might influence susceptibility to CIN and cervical cancer, and PSMB9 rs17587 might influence cervical cancer susceptibility in a Chinese Han population.

The association of LMP7 and TAP2 gene polymorphisms with treatment response to interferon/ribavirin in patients with genotype 1 chronic hepatitis C

Previous studies have highlighted the important role of genes related to antigen presentation in the spontaneous clearance of hepatitis C virus. The present study aimed to explore the association between TAP, LMP and tapasin gene polymorphism and treatment response in chronic hepatitis C virus (CHC) patients. Six single nucleotide polymorphisms in TAP, LMP and tapasin genes were genotyped among 352 Chinese genotype 1 CHC patients with pegylated interferon-α and ribavirin (pegIFN-α/RBV) treatment. There were 232 cases achieving sustained virological response (SVR), which yielded an SVR rate of 65.9%. LMP7 rs2071543 variant genotypes [additive model: odds ratio (OR), 0.52; 95% confidence interval (CI), 0.33-0.82; P=0.005] and TAP2 rs1800454 variant genotypes (additive model: OR, 0.66; 95% CI, 0.45‑0.98; P=0.039) were suggested to decrease the possibility of achieving an SVR. After conducting combined effect analysis of rs2071543 and rs1800454, the authors found that the SVR rate was lower among patients carrying more unfavorable rs1800454-A and rs2071543-A alleles, and the SVR rate of carrying 3-4 alleles was 20%. In addition, carrying two unfavorable alleles led to significantly decreased possibility for SVR (OR, 0.30; 95% CI, 0.14-0.61; P=0.001). Multivariate stepwise analysis indicated that rs2071543, rs1800454, glucose, α-fetoprotein, platelets and baseline viral load were risk factors of SVR that were independent of each other. The area under the curve (AUC) consisting of all the above factors produced an AUC of 0.704 (95% CI, 0.647‑0.761; P<0.001). The line charts indicated that the drop in viral load was significantly faster in GG patients than in GC/CC patients during the whole therapy, which was in accordance with the decline of viral load in rs2071543. The present study illustrated that the carriage of LMP7 rs2071543-AA and TAP2 rs1800454-AA had a negative effect on treatment response to pegIFN-α/RBV among genotype 1 patient with CHC in a Chinese Han population.

Association of polymorphisms in HLA antigen presentation-related genes with the outcomes of HCV infection

Antigen-presentation genes play a vital role in the pathogenesis of HCV infection. However, the relationship of variants of these genes with spontaneous outcomes of HCV infection has not been fully investigated. To explore novel loci in the Chinese population, 34 tagging-SNPs in 9 candidate genes were genotyped for their associations with the outcomes of HCV infection. The distributions of different genotypes and haplotypes were compared among 773 HCV-negative controls, 246 subjects with HCV natural clearance, and 218 HCV persistent carriers recruited from hemodialysis patients and intravenous drug users. Our study implicated that TAP2, HLA-DOA, HLA-DOB, and tapasin loci were novel candidate regions for susceptibility to HCV infection and viral clearance in the Chinese population. Logistic regression analyses showed that TAP2 rs1800454 A (OR = 1.48, P = 0.002) and HLA-DOB rs2071469 G (OR = 1.23, P = 0.048) were significantly associated with increased susceptibility to establishment of HCV infection. However, high-risk behavior exposure and age were stronger predictors of HCV infection. Mutation of tapasin rs9277972 T (OR = 1.57, P =0.043) increased the risk of HCV chronicity, and HLA-DOA rs3128935 C (OR = 0.62, P = 0.019) increased the chance of viral resolution. With regards to the effect of rs3128925, interactions were found with high-risk behavior (P = 0.013) and age (P = 0.035). The risk effect of rs3128925 T for persistent HCV infection was higher in injecting drug users (vs. dialysis patients) and in subjects ≥ 40 years old (vs. < 40 years old).

Genetic variation in NOS2A is associated with a sustained virological response to peginterferon plus ribavirin therapy for chronic hepatitis C in Taiwanese Chinese

This study aimed to evaluate whether genetic polymorphisms of the inducible nitric oxide synthase (iNOS) gene NOS2A could be associated with a sustained virological response (SVR) among patients infected with hepatitis C virus genotypes 1 and 2 (HCV-1 and HCV-2) who were treated with peginterferon plus ribavirin (PEG-IFNα-RBV). We analyzed the associations between SVR to PEG-IFNα-RBV therapy and two single nucleotide polymorphisms (SNPs) in NOS2A. This study included Taiwanese Chinese patients infected with either HCV-1 (n = 265) or HCV-2 (n = 195) with or without a SVR. Among the NOS2A SNPs examined, the combination of genotypes A/A and A/G of rs2248814 was inversely correlated with SVR in patients infected with HCV-1 (P = 0.0048), particularly in males (P = 0.0281). This effect was not observed in patients infected with HCV-2. The AC NOS2A haplotype comprising two SNPs (rs2248814 and rs2072324) was found to be associated with SVR, and its presence may decrease the chances for a successful outcome of treatment of patients infected with HCV-1 (P = 0.0053). HCV-1 infected patients who carried the A-C diplotype will have a lower success rate of achieving a SVR (P = 0.0117). In addition, a multivariate logistic regression model for predicting a SVR revealed that the presence of the A-C diplotype interactively affected the outcome of PEG-IFNα-RBV treatment. The presence of NOS2A SNPs and the association with SVR showed that NOS2A polymorphisms may influence the therapeutic outcomes of patients infected with HCV-1 under standard of care treatment.

Role of viral and host factors in interferon based therapy of hepatitis C virus infection

The current standard of care (SOC) for hepatitis C virus (HCV) infection is the combination of pegylated interferon (PEG-IFN), Ribavirin and protease inhibitor for HCV genotype 1. Nevertheless, this treatment is successful only in 70-80% of the patients. In addition, the treatment is not economical and is of immense physical burden for the subject. It has been established now, that virus-host interactions play a significant role in determining treatment outcomes. Therefore identifying biological markers that may predict the treatment response and hence treatment outcome would be useful. Both IFN and Ribavirin mainly act by modulating the immune system of the patient. Therefore, the treatment response is influenced by genetic variations of the human as well as the HCV genome. The goal of this review article is to summarize the impact of recent scientific advances in this area regarding the understanding of human and HCV genetic variations and their effect on treatment outcomes. Google scholar and PubMed have been used for literature research. Among the host factors, the most prominent associations are polymorphisms within the region of the interleukin 28B (IL28B) gene, but variations in other cytokine genes have also been linked with the treatment outcome. Among the viral factors, HCV genotypes are noteworthy. Moreover, for sustained virological responses (SVR), variations in core, p7, non-structural 2 (NS2), NS3 and NS5A genes are also important. However, all considered single nucleotide polymorphisms (SNPs) of IL28B and viral genotypes are the most important predictors for interferon based therapy of HCV infection.

The association between the genetic polymorphisms of LMP2/LMP7 and the outcomes of HCV infection among drug users

Objective

To investigate a possible association of LMP2/LMP7 genes with chronic hepatitis C virus (HCV) infection, and to assess whether LMP2/LMP7 genes could influence the outcomes of HCV infection among drug users.

Methods

Genomic DNAs of 362 anti-HCV sero-positive drug users and 225 control drug users were extracted from the peripheral blood leukocytes. The sero-positive patients were divided into those who had persistent infection and those who had spontaneously cleared the infection. Polymorphisms of LMP genes were determined by PCR combined with restriction fragment length polymorphism (RFLP).

Results

The distribution of LMP2 genotypes among the control, persistent infection and spontaneous clearance groups were not different. However, the LMP7 codon 145 Gln/Lys, Lys/Lys, and Gln/Lys+Lys/Lys genotypes were found significantly more frequent in the persistent infection group than in control group (OR=1.75, 95%CI=1.06∼2.90; OR=3.16, 95%CI=1.23-8.12; OR = 1.94, 95%CI=1.21-3.12, respectively). Similarly, the frequencies of the codon 145 Gln/Lys, Lys/Lys, and Gln/Lys+Lys/Lys genotypes were found significantly more frequent in the persistent infection group than in the spontaneous clearance group (OR=1.64, 95%CI=1.04-2.57; OR=2.40, 95%CI=1.09-5.28; OR=1.76, 95%CI=1.15-2.69, respectively). Stratified analysis indicated that combined genotype Gln/Lys + Lys/Lys of the LMP7 gene was related to an increasing susceptibility to HCV infection (OR=1.91, 95%CI=1.02-3.55; OR=2.19, 95%CI=1.24-3.89; OR=1.91, 95%CI=1.05-3.48, OR=2.86, 95%CI=1.41-5.78, respectively) and the risk of persistent HCV infection (OR=1.94, 95%CI=1.12-3.34; OR=2.02, 95%CI=1.21-3.38; OR=1.78, 95%CI=1.12-2.85, OR=2.23, 95%CI=1.09-4.58, respectively) among > 30-year-old, males, the injection drug user (IDU) subjects and/or the shorter duration drug users (≤5 y).

Conclusion

These results suggest that polymorphism of the LMP7 gene may have an influence on the outcomes of HCV infection, and is one of the factors accounting for the genetic susceptibility to HCV infection among drug users.

Association between low molecular polypeptide 7 single nucleotide polymorphism and response to therapy in hepatitis C virus infection

AIM

To investigate the relationship between low molecular polypeptide-7 (LMP-7) gene polymorphism and response to interferon (IFN) therapy in chronic hepatitis C virus (HCV) patients.

METHODS

LMP-7 polymorphism at codon 49 with nucleotide substitution from A to C was amplified in 104 chronic HCV patients of genotype 4. The amplicons were digested with restriction endonuclease BsmI and the produced restriction fragment length polymorphism was analyzed. Patients received IFN + regional blood volume therapy for 48 wk and the frequency of this single nucleotide polymorphism (SNP) was statistically correlated with treatment response. The exclusion criteria for these patients were stated by the national health program for treating viral hepatitis. Main exclusion criteria included co-infection with hepatitis B virus or schistosomiasis, thyroid dysfunction, uncontrolled diabetes mellitus, history of long term drug or alcohol intake and autoimmune hepatitis. Multivariate analyses were done to correlate LMP-7 SNP plus several factors such as age, gender, weight, serum alpha-fetoprotein (AFP) and alanine aminotransferase levels, liver activity, fibrosis score and viral load with response to therapy.

RESULTS

The data presented in this study clearly demonstrated statistically significant differences between sustained virological response (SVR) (defined as the absence of HCV RNA levels in the patient's sera at least 6 mo after discontinuation of treatment) and non-response (NR) (where HCV RNA levels in the patient's sera never become undetectable for 6 mo during or after treatment). Variables were described as odds ratio with 95%CI. The data were considered significant if P values were ≤ 0.05; highly significant if P < 0.01 and very highly significant if P < 0.001. Current data showed that 91.7% of patients carrying LMP-7 C/C allele were associated with SVR, while the other two genotypes C/A and A/A were associated with NR patients, 83.3% and 64.3% respectively, showing that genotype CC was strongly associated with response to interferon (95%CI: 12.0719-134.6572, P = 0.0001). The majority of parameters recorded in SVR and NR patients included higher values of mean age (P = 0.004), alanine aminotransferase (P = 0.001), AFP (P = 0.001), body weight (P = 0.025), viral load (P = 0.025), higher fibrosis and histological activity index indices among NR vs SVR patients. Also, the multivariate statistical analysis of the different factors of fibrosis score, liver activity grade, genotypes and alleles of LMP-7 gene polymorphism in responders and NRs of HCV patients in this study showed that HCV patients with A allele had a very highly significant association with the NRs, high fibrosis and higher liver activity, while the C allele had a very highly significant association with the responders, low fibrosis and lower liver activity (95%CI: 3.5800-13.2519, P = 0.0001).

CONCLUSION

LMP-7 SNP is a candidate gene that should be considered when designing a mathematical model for predicting response to therapy and disease progression in HCV patients.

A Study of CC-Chemokine Receptor 5 (CCR5) Polymorphism on the Outcome of HCV Therapy in Egyptian Patients

BACKGROUND

Chronic hepatitis C virus (HCV) infection is a globally serious public health issue.

OBJECTIVES

In this study, we investigated CC chemokine receptor 5 (CCR5-59029) polymorphism which is considered an important component of the immune system in determining the outcome of HCV infection. Its critical role as a marker in response to interferon therapy of HCV infection is also investigated besides its effect on other clinical patient factors.

PATIENTS AND METHODS

This study was conducted on 82 Egyptian patients with chronic Hepatitis C Virus (HCV) infection who received PEG-INF + Ribavirin treatment for 48 weeks. The study was also conducted on 50 healthy controls (with negative results for HCV antibody and RNA PCR). Full history of patients in this study was recorded. Clinical and histological examinations, qualitative HCV nested RT-PCR, quantitative real -time PCR, and genotyping of HCV RNA genome were performed. CCR5-59029 polymorphism with nucleotide substitution from G to A was amplified. The amplicons were digested with restriction endonuclease Bsp 1286I, and produced RFLPs of the CCR5 genotypes were determined.

RESULTS

The present study showed a significant association between the functional SNP of CCR5 gene and the viral response to interferon in chronic HCV Egyptian patients. It was shown that the higher fibrosis stages (F2-F4) had significant association with nonresponse to treatment compared to the lower fibrosis stages (F0-F1) (95% confidence: 5.497 - 55.074, P = 0.0001). In addition, worse liver activity grade (A2-A3) had a very highly significant association with non-responder HCV patients compared to those with better liver activity grade (A1) (95% confidence: 2.242 - 20.974, P = 0.0007). Most importantly HCV patients with G allele had a high significant association with nonresponse to treatment, higher fibrosis stages and worse liver activity grades, while the A allele had a high significant association with sustained response, low fibrosis stages and relatively better liver activity grade (95% confidence: 3.347 - 15.036, P = 0.0001).

CONCLUSIONS

SNPs within the CCR5 gene should be considered as an important factor used in combination with other host gene SNPs when developing a mathematical model for anticipating response to HCV therapy.

Association of genetic variations in GNB1 with response to peginterferon plus ribavirin therapy for chronic hepatitis C in a Chinese population in Taiwan

Background

The aim of this study was to evaluate whether polymorphisms in the guanine nucleotide binding (G protein), beta polypeptide 1 (GNB1) gene are associated with a rapid virological response (RVR) among HCV genotype 1 (HCV-1) and 2 (HCV-2) infected patients receiving peginterferon plus ribavirin treatment (PEG-IFNα-RBV).

Methods

We analyzed the association between RVR to PEG-IFNα-RBV therapy and 4 tagging single nucleotide polymorphisms (SNPs) of the GNB1 gene. This study included 265 HCV-1 and 195 HCV-2 infected patients in a Chinese population in Taiwan.

Results

Among the GNB1 SNPs examined, the combination of genotypes G/G and G/T populations of rs12126768 was significant inversely correlated with RVR in HCV-1 infected patients (P = 0.0330), whereas HCV-2 infected patients, combination of A/A and A/C genotypes populations at rs4648727 responded better to the PEG-IFNα-RBV treatment (P = 0.0089). However, there were no significant differences in the allele frequencies of those SNPs between RVR responders and non-responders. Several RVR susceptibility GNB1 haplotypes were identified, and the ACAT haplotype of the 4 SNPs may increase the successful outcomes of HCV-1 and HCV-2 infected patients (P = 0.0261 and P = 0.0253, respectively).

Conclusion

The data for GNB1 SNPs and the association of RVR showed that GNB1 polymorphisms might be associated with the therapeutic outcomes of HCV-1 and HCV-2 infected patients under standard of care (SOC) treatment.

The pharmacogenetic background of hepatitis C treatment

Insufficiently treated hepatitis C virus (HCV) infection remains a major healthcare issue. Individual therapy responses vary considerably from spontaneous clearing of the virus to lethal conditions. Host genetics currently receives a major scientific and clinical interest as an important source of interindividual variability in treatment. Mainly the associations of interleukin 28B gene (IL28B) variants with decreased HCV clearance under standard therapy are considered as "state of the art" of hepatitis C pharmacogenetics. However, a search in PubMed identified 41 genes reportedly modulating the individual therapy response, e.g., genes coding for major histocompatibility complex (HLA), the tumor necrosis factor (TNF), interleukin 10 (IL10), other interferon coding genes than IL28B (e.g., IFNAR1, IFNAR2, IFNG), several components of downstream interferon signaling as well as genes modulating side effects of current anti-HCV therapeutics (e.g., SLC28A3, ITPA involved in ribavirin associated hemolytic effects or SLC6A4 and HTR1A involved in serotonin associated psychiatric side effects). Applying knowledge discovery methods from the area of data mining and machine-learning to this comprehensive set of HCV therapy modulating genes, relating the HCV genes to the world wide knowledge on genes given in the form of the Gene Ontology (GO) knowledge base, found that the relevant genes belong to the GO subcategories of "inflammatory response" and "immune response" and "response to virus". This complex approaches to the pharmacogenomics of HCV may serve to identify future candidates for a personalization of HCV therapy and structured approach to possible new therapeutic targets for the control of hepatitis C virus.

A single nucleotide polymorphism in activated Cdc42 associated tyrosine kinase 1 influences the interferon therapy in hepatitis C patients

BACKGROUND & AIMS

Cdc42 is a Rho family GTPase protein and was recently implicated in mediating hepatitis C virus (HCV) infectivity. This study examines the association between Cdc42-related gene and interferon (IFN) therapy in HCV patients.

METHODS

We analyzed the associations between the outcome of IFN therapy and 17 tagging single nucleotide polymorphisms (SNPs) within two genes involved in Cdc42 signaling (CDC42 and ACK1). A total of 295 out of the 409 study subjects were sustained responders (SR) and 114 were non-responders (NR). Replication was performed using an independent set of 794 IFN-treated patients.

RESULTS

SNP rs2278034 [A/G] in intron 11 of activated Cdc42 associated tyrosine kinase (ACK) 1 was associated with the outcome of IFN therapy (p=6.4 × 10(-4)). Replication analysis confirmed the association (p=2.2 × 10(-3)) for patients treated with IFN monotherapy, but the association was not significant for pegylated-IFN-plus ribavirin therapy. Analysis using published HapMap expression data revealed that ACK1 expression correlates with IFN-stimulated gene (ISG) expression independently of ethnicity, but the relationship between rs2278034 and ACK1 expression was observed only within Asian populations. Over-expression of ACK1, but not the kinase-inactive mutant, increased ISG transcription in Huh7 cells. ACK1 expression enhanced the IFN-stimulated response element (ISRE) and interferon-γ-activated site (GAS) promoter activity through tyrosine phosphorylation of signal transducers and activators of transcription (STAT) 1. Furthermore, ACK1 over-expression in HCV-N replicon cells inhibited HCV replication.

CONCLUSIONS

SNP rs2278034 in ACK1 is associated with IFN therapy outcome in patients with HCV. ACK1 may play a role in innate and IFN-induced antiviral action against HCV.

Evolution of interferon-based therapy for chronic hepatitis C

Since 1986, interferon-alfa (IFN-α) monotherapy has been administered for patients with chronic hepatitis C (CHC). However, sustained response rate is only about 8% to 9%. Subsequent introduction of ribavirin in combination with IFN-α was a major breakthrough in the treatment of CHC. Sustained virological responses (SVRs) rate is about 30% in hepatitis C virus genotype 1 (HCV-1) patients, and is about 65% in HCV-2 or -3 patients. After 2000, pegylated interferon (PegIFN) much improved the rates of SVR. Presently, PegIFN-α-ribavirin combination therapy has been current standard of care for patients infected with HCV. In patients with HCV-1, treatment for 48 weeks is optimal, but 24 weeks of treatment is sufficient in HCV-2 or -3 infected patients. Clinical factors have been identified as predictors for the efficacy of the IFN-based therapy. The baseline factor most strongly predictive of an SVR is the presence of HCV-2 or -3 infections. Rapid virological response (RVR) is the single best predictor of an SVR to PegIFN-ribavirin therapy. If patients can't achieve a RVR but achieve a complete early virological response (cEVR), treatment with current standard of care can provide more than 90% SVR rate. HCV-1 patients who do not achieve an EVR should discontinue the therapy. Recent advances of protease inhibitor may contribute the development of a novel triple combination therapy.

Relationship between host genetic polymorphisms and the outcome of hepatitis C virus infection

Acute hepatitis C virus (HCV) infection can induce host innate and adaptive immune responses. Approximately 15%-25% of HCV-infected patients successfully eliminated the virus whereas the majority of these patients developed chronic liver disease, cirrhosis and hepatocellular carcinoma. Numerous studies have demonstrated that host genetic polymorphisms may lead to differences in host immune function and therefore influence the clinical outcome of HCV infection. This review briefly summarizes the relationship between host genetic polymorphisms and the outcome of HCV infection.

Pharmacogenomics of chronic hepatitis C therapy with genome-wide association studies

Chronic hepatitis C (CHC) is a liver disease characterized by infection with the hepatitis C virus (HCV) persisting for more than six months. Patients with CHC often stop pursuing the pegylated interferon (peg-IFN) and ribavirin (RBV) treatment because of the high cost and associated adverse effects. Therefore, it is highly desirable, both clinically and economically, to establish the determinants of response to distinguish responders from nonresponders, and to predict the possible outcomes of the peg-IFN and RBV treatments. The aim of this study was to review recent data on the pharmacogenomics of the drug efficacy of IFN in CHC patients. Single nucleotide polymorphisms (SNPs) can be used to understand the relationship between genetic inheritance and IFN therapeutic response. In the recent advent of scientific research, the genome-wide association study (GWAS), which is an alternative to the candidate-gene approach, is widely utilized to examine hundreds of thousands of SNPs by high-throughput genotyping technologies. In addition to the candidate-gene approach, the GWAS approach has recently been employed to study the determinants of HCV's response to therapy. Several recent findings have demonstrated that some SNPs in the interleukin 28B gene are closely associated with IFN responsiveness. These results promise to lead to mechanistic findings related to IFN responsiveness in this disease, and will probably have major contributions for individualized medicine and therapeutic decision making.

Pharmacogenomics of drug efficacy in the interferon treatment of chronic hepatitis C using classification algorithms

Chronic hepatitis C (CHC) patients often stop pursuing interferon-alfa and ribavirin (IFN-alfa/RBV) treatment because of the high cost and associated adverse effects. It is highly desirable, both clinically and economically, to establish tools to distinguish responders from nonresponders and to predict possible outcomes of the IFN-alfa/RBV treatments. Single nucleotide polymorphisms (SNPs) can be used to understand the relationship between genetic inheritance and IFN-alfa/RBV therapeutic response. The aim in this study was to establish a predictive model based on a pharmacogenomic approach. Our study population comprised Taiwanese patients with CHC who were recruited from multiple sites in Taiwan. The genotyping data was generated in the high-throughput genomics lab of Vita Genomics, Inc. With the wrapper-based feature selection approach, we employed multilayer feedforward neural network (MFNN) and logistic regression as a basis for comparisons. Our data revealed that the MFNN models were superior to the logistic regression model. The MFNN approach provides an efficient way to develop a tool for distinguishing responders from nonresponders prior to treatments. Our preliminary results demonstrated that the MFNN algorithm is effective for deriving models for pharmacogenomics studies and for providing the link from clinical factors such as SNPs to the responsiveness of IFN-alfa/RBV in clinical association studies in pharmacogenomics.

Genetic variation in the LMP/TAP gene and outcomes of hepatitis B virus infection in the Chinese population

Genetic polymorphisms of the LMP/TAP gene coded by the HLA-II region may be associated with outcomes of HBV infection. We conducted a case-control study to test the hypothesis, including a persistent group of 155 patients with chronic hepatitis B and 36 healthy carriers, a recovered group of 165 individuals spontaneously recovered from HBV infection, and an uninfected group of 278 healthy normal controls. Genotypes of eight polymorphisms of the LMP/TAP gene were analysed by PCR–RFLP. A logistic regression model was used to analyse statistical differences in polymorphisms or haplotypes in different groups. Of the eight polymorphisms, two (TAP1 codon 637 and LMP7 codon 145) were observed to have statistically significant association with outcomes of HBV infection (P<0·05). The two-locus haplotype constructed with two such polymorphisms was analysed. The frequencies of haplotypes B (Asp-Lys), C (Gly-Gln), and D (Gly-Lys) were found to be increased significantly in the persistent group, compared to healthy controls (OR 2·26, 95% CI 1·62–3·15, P<0·001; OR 2·37, 95% CI 1·69–3·32, P<0·001; OR 4·38, 95% CI 1·78–10·77, P=0·001, respectively). The prevalence of haplotypes B (Asp-Lys), C (Gly-Gln), and D (Gly-Lys) were also significantly higher in the persistent infectious group than in the recovered group (OR 2·68, 95% CI 1·81–3·98, P<0·001; OR 2·40, 95% CI 1·62–3·55, P<0·001; OR 3·03, 95% CI 1·22–7·55, P=0·017, respectively). These findings indicated that genetic polymorphisms of the LMP/TAP gene might be an important factor in determining the outcome of HBV infection.

Identification of single nucleotide polymorphism in ginger using expressed sequence tags

Ginger (Zingiber officinale Rosc) (Family: Zingiberaceae) is a herbaceous perennial, the rhizomes of which are used as a spice. Ginger is a plant which is well known for its medicinal applications. Recently EST-derived SNPs are a free by-product of the currently expanding EST (Expressed Sequence Tag) databases. The development of high-throughput methods for the detection of SNPs (Single Nucleotide Polymorphism) and small indels (insertion/deletion) has led to a revolution in their use as molecular markers. Available (38139) Ginger EST sequences were mined from dbEST of NCBI. CAP3 program was used to assemble EST sequences into contigs. Candidate SNPs and Indel polymorphisms were detected using the perl script AutoSNP version 1.0 which has used 31905 ESTs for detecting SNPs and Indel sites. We found 64026 SNP sites and 7034 indel polymorphisms with frequency of 0.84 SNPs / 100 bp. Among the three tissues from which the EST libraries had been generated, Rhizomes had high frequency of 1.08 SNPs/indels per 100 bp whereas the leaves had lowest frequency of 0.63 per 100 bp and root is showing relative frequency 0.82/100bp. Transitions and transversion ratio is 0.90. In overall detected SNP, transversion is high when compare to transition. These detected SNPs can be used as markers for genetic studies.

AVAILABILITY

The results of the present study hosted in our webserver www.spices.res.in/spicesnip.

Influence of selected HLA tissue compatibility antigens on the course and efficacy of viral hepatitis C treatment--actual knowledge position

Hepatitis C virus (HCV) infection is a common problem. Combined treatment with interferon and ribavirin improved treatment efficacy, but still high percentage of infected patients has not reached virus elimination. It was found that HCV infection course, but also treatment efficacy among other things can depend on patient's individual factors, including MHC genes structure for HLA tissue compatibility antigens. Many connections between HLA system and HCV infection course were noted. There are some reports concerning connections between MHC structure and results of chronic hepatitis C treatment with interferon. In future, results of investigations connected with this problem can allow to verify qualification criteria for treatment with alpha-interferon, because actual knowledge position has been too inconspicuous to have practical significance.

A support vector machine approach to assess drug efficacy of interferon-alpha and ribavirin combination therapy

BACKGROUND

Interferon-alpha (IFNalpha) in combination with ribavirin can be used for the treatment of patients with chronic hepatitis C. This therapeutic approach achieves an overall sustained response rate of approximately 40%, but treatment takes 6-12 months and patients often experience significant adverse reactions.

OBJECTIVE

We aim to develop a tool to distinguish potential responders from nonresponders prior to initiation of IFNalpha-ribavirin treatment.

METHODS

Using single nucleotide polymorphisms (SNPs) and viral genotype, we applied the support vector machine (SVM) algorithm to build a tool to predict responsiveness to IFNalpha-ribavirin combination therapy. Furthermore, we utilized the SVM algorithm with the recursive feature elimination method to identify a subset of factors that are significantly more influential than the others.

RESULTS AND CONCLUSION

The SVM model is a promising method for inferring responsiveness to IFNalpha dealing with the complex nonlinear relationship between factors (such as SNPs and viral genotype) and successful therapy. In this study, we demonstrate that our tool may allow patients and doctors to make more informed decisions by analyzing host SNP and viral genotype information.

A case of transfusion-transmitted hepatitis E caused by blood from a donor infected with hepatitis E virus via zoonotic food-borne route

BACKGROUND

Five cases of transfusion transmission of hepatitis E virus (HEV) have been reported so far. The infection routes of the causative donors remain unclear, however. Also, the progress of virus markers in the entire course of HEV infection has not been well documented.

STUDY DESIGN AND METHODS

Nucleic acid testing was performed by real-time reverse transcription-polymerase chain reaction targeting the open reading frame 2 region of HEV. Full-length nucleotide sequences of HEV RNA were detected by direct sequencing.

RESULTS

Lookback study of a HEV-positive donor revealed that the platelets (PLTs) donated from him 2 weeks previously contained HEV RNA and were transfused to a patient. Thirteen relatives including the donor were ascertained to enjoy grilled pork meats together in a barbecue restaurant 23 days before the donation. Thereafter, his father died of fulminant hepatitis E and the other 6 members showed serum markers of HEV infection. In the recipient, HEV was detected in serum on Day 22 and reached the peak of 7.2 log copies per mL on Day 44 followed by the steep increase of alanine aminotransferase. Immunoglobulin G anti-HEV emerged on Day 67; subsequently, hepatitis was resolved. HEV RNA sequences from the donor and recipient were an identical, Japan-indigenous strain of genotype 4. HEV RNA was detectable up to Day 97 in serum, Day 85 in feces, and Day 71 in saliva.

CONCLUSION

A transfusion-transmitted hepatitis E case by blood from a donor infected via the zoonotic food-borne route and the progress of HEV markers in the entire course are demonstrated. Further studies are needed to clarify the epidemiology and the transfusion-related risks for HEV even in industrialized countries.

Gene-gene and gene-environment interactions in interferon therapy for chronic hepatitis C

INTRODUCTION

In studies of pharmacogenomics, it is essential to address gene-gene and gene-environment interactions to describe complex traits involving pharmacokinetic and pharmacodynamic mechanisms. In this work, our goal is to detect gene-gene and gene-environment interactions resulting from an analysis of chronic hepatitis C patients' clinical factors including SNPs, viral genotype, viral load, age and gender.

MATERIALS & METHODS

We collected blood samples from 523 chronic hepatitis C patients who had received interferon and ribavirin combination therapy. Based on the treatment strategy for chronic hepatitis C patients, we focused our search for candidate genes involved in pathways related to interferon signaling and immunomodulation. To investigate gene-gene and gene-environment interactions, we implemented an artificial neural network-based method for identifying significant interactions between clinical factors with the fivefold crossvalidation method and permutation tests. The artificial neural network model was trained by an algorithm with an adaptive momentum and learning rate.

RESULTS

A total of 20 SNPs were selected from six candidate genes including adenosine deaminase-RNA-specific (ADAR), caspase 5 (CASP5), interferon consensus sequence binding protein 1 (ICSBP1), interferon-induced protein 44 (IFI44), phosphoinositide-3-kinase catalytic gamma polypeptide (PIK3CG), and transporter 2 ATP-binding cassette subfamily B (TAP2) genes. By applying our artificial neural network-based approach, IFI44 was found in the significant two-locus, three-locus and four-locus gene-gene effect models, as well as in the significant two-factor and three-factor gene-environment effect models. Furthermore, viral genotype remained in the best two-factor, three-factor and four-factor gene-environment models. These results support the hypothesis that IFI44 and viral genotype may play a role in the pharmacogenomics of interferon treatment. In addition, our approach identified a panel of ten clinical factors that may be more significant than the others for further study.

CONCLUSION

We demonstrated that our artificial neural network-based approach is a promising method to assess the gene-gene and gene-environment interactions for interferon and ribavirin combination treatment in chronic hepatitis C patients by using clinical factors such as SNPs, viral genotype, viral load, age and gender.

Genetic variation of antigen processing machinery components and association with cervical carcinoma

The antigen processing machinery (APM) plays an important role in immune recognition of virally infected and transformed cells. Defective expression of several APM components is associated with progression and clinical outcome in cervical carcinoma. Genetic variation in the genes encoding APM components is known to be associated with risk of occurrence of several malignancies. However, only limited evidence exists supporting the role of single nucleotide polymorphisms (SNPs) in APM components in cervical carcinoma. We have therefore investigated the occurrence of APM component SNP genotypes and haplotypes in cervical carcinoma. Thirteen coding SNPs in the LMP2, LMP7, TAP1, TAP2, and ERAP1 genes were genotyped in 127 cervical carcinoma patients and 124 controls. Individual genotype and allele distributions were assessed by single-marker analysis. Effects of various SNP combinations were estimated by haplotype construction and subsequent haplotype interaction analysis. Significant haplotypes were modeled on disease risk. Allele distributions at the LMP7-145, TAP2-651, ERAP1-127, and ERAP1-730 loci differed significantly between cases and controls with the major allele at the LMP7 and TAP2 loci and the minor allele at both ERAP1 loci associated with increased cervical carcinoma risk. A combination of the two haplotypes spanning these loci was associated with a three-fold increased risk (OR = 3.024; P << 0.001); approximately 12% of all cervical carcinoma occurrences were attributable to this combination. Our data indicate that combined genetic variation in the TAP2, LMP7, and ERAP1 genes is associated with increased cervical carcinoma risk.

Diabetes mellitus reduces the therapeutic effectiveness of interferon-alpha2b plus ribavirin therapy in patients with chronic hepatitis C

AIM

Patients with chronic hepatitis C (CHC) often have diabetes mellitus (DM). However, it is unknown whether DM affects patient response to interferon (IFN) plus ribavirin therapy. Therefore, the aim of this study was to examine the influence of DM on the outcome of IFN-alpha2b plus ribavirin therapy.

METHODS

In a cohort of 110 patients with CHC, the outcome of 6 months of IFN-alpha2b plus ribavirin therapy was evaluated by comparing the patients with and without DM.

RESULTS

There were 46 sustained-responders; 64 patients did not become sustained responders. Higher age (P = 0.015), lower platelet counts (P = 0.036), hepatitis C virus (HCV) serotype 1 (P = 0.001), advanced liver fibrosis (P = 0.004), and the presence of DM (P = 0.007) were significantly associated with not becoming a sustained-responder. Seventeen CHC (15%) patients had DM. Sex ratio, age, body mass index, alanine aminotransferase levels, HCV-RNA titer, and HCV serotypes did not significantly differ between the patients with and without DM, while fasting plasma glucose, hemoglobin A1c and liver histological staging were significantly different. On multiple logistic regression analysis, HCV serotype 1 (odds ratio 8.743, 95% confidence interval 2.215-34.517; P = 0.002) and the presence of DM (odds ratio 8.657, 95% confidence interval 1.462-51.276; P = 0.014) were independently associated with not becoming a sustained-responder.

CONCLUSIONS

The findings indicate that DM reduces the response to IFN-alpha2b plus ribavirin therapy in CHC patients.

An artificial neural network approach to the drug efficacy of interferon treatments

INTRODUCTION

Interferon taken alone or in combination with ribavirin can be used for the treatment of persons with chronic hepatitis C. It is highly desirable, both clinically and economically, to establish tools to distinguish responders from nonresponders and to predict possible outcomes of the treatments. In this work, our goal is to develop a prediction model resulting from the analysis of chronic hepatitis C patients' single nucleotide polymorphisms, viral genotype, viral load, age and gender, to predict the responsiveness of interferon combination treatment.

MATERIALS AND METHODS

We collected blood samples from 523 chronic hepatitis C patients that had received interferon and ribavirin combination therapy. Based on the current treatment strategy for chronic hepatitis C patients, we focused our search for candidate genes involved in pathways related to interferon signaling and immunomodulation. With artificial neural network algorithms, we then developed pattern recognition methodologies to achieve predictions among the patients. The artificial neural network model was trained by an algorithm with an adaptive momentum and learning rate.

RESULTS

There were seven single nucleotide polymorphisms selected from six candidate genes including adenosine deaminase-RNA-specific, caspase 5, interferon consensus sequence binding protein 1, interferon-induced protein 44, phosphoinositide-3-kinase catalytic gamma polypeptide and transporter 2 ATP-binding cassette subfamily B genes. We further applied the artificial neural network algorithms with these seven single nucleotide polymorphisms, viral genotype, viral load, age and gender information to build tools for predicting the responsiveness of interferon. Based on the fivefold cross-validation method to evaluate the performance, the model achieved a high success rate of prediction.

CONCLUSION

We demonstrated that a trained artificial neural network model is a promising method for providing the inference from factors such as single nucleotide polymorphisms, viral genotype, viral load, age and gender to the responsiveness of interferon.

Sensitivity to antiviral therapy may change after liver transplantation in patients with chronic hepatitis C virus infection

In hepatitis C virus (HCV)-infected patients, it is generally assumed that the pattern of response to antiviral therapy remains unaltered after liver transplantation (LT). However, changes in the circulating HCV quasispecies and in the gene expression profiles of the graft might influence response to treatment after LT. We evaluated 22 HCV-infected patients who received antiviral treatment while awaiting LT and in whom HCV infection recurred. Eleven of these patients underwent a new antiviral treatment course. Our study analyses the early virological response to both treatment courses to assess the influence of the changes in HCV on the response to therapy. Patients were considered early virological responders (EVR) if viral load declined > or = 2 log10 during the first 12 weeks of therapy. The remaining individuals were considered nonresponders (NR). HCV sequences from hypervariable region 1 and nonstructural 5A (NS5A) region before both treatment regimens were compared. Of 11 patients, 8 (73%) showed identical early response to both courses of therapy (group A: five EVR-EVR, three NR-NR). Interestingly, the response changed in three patients (27%) (group B): two NR became EVR after transplantation, whereas one EVR became NR. Fixation of mutations within the NS5A occurred preferentially in group B (100%) compared with group A (37%)(P = 0.12). However, the number of fixed mutations was not significantly different between groups, suggesting that the changes in sensitivity to therapy after LT are not exclusively dependent on variations in HCV strains. In conclusion, in HCV-infected patients undergoing LT, the pattern of response to antiviral treatment may change after transplantation, and this possibility needs to be incorporated in clinical practice.

Genetic predisposition of responsiveness to therapy for chronic hepatitis C

Background: A combination of interferon-α (IFN-α) and ribavirin has been the choice for treating chronic hepatitis C (CHC) patients. It achieves an overall sustained response rate of approximately 50%; however, the treatment takes 6–12 months and often brings significant adverse reactions to some patients. It would therefore be beneficial to include a pretreatment evaluation in order to maximize the efficacy. In addition to viral genotypes, we hypothesize that patient genotypes might also be useful for the prediction of treatment response. Methods: We retrospectively analyzed the genetic differences of CHC patients that are associated with IFN/ribavirin responses. The DNA polymorphisms among 195 sustained responders and 122 nonresponders of CHC patients of Taiwanese origin were compared. Statistical and algorithmic methods were used to select the genes associated with drug response and single nucleotide polymorphisms (SNPs) that permitted the construction of a predictive model. Results: Association studies and haplotype reconstruction revealed selection of seven genes: adenosine deaminase, RNA-specific (ADAR), caspase 5, apoptosis-related cysteine peptidase (CASP5), fibroblast growth factor 1 (FGF1), interferon consensus sequence binding protein 1 (ICSBP1), interferon-induced protein 44 (IFI44), transporter 2, ATP-binding cassette, subfamily B (TAP2) and transforming growth factor, β receptor associated protein 1 (TGFBRAP1) for the responsiveness trait. Based on confirmed linkage disequilibrium block in the population, a minimal set of 26 SNPs in the seven selected genes was inferred. To predict treatment outcome, a multiple logistic regression model was constructed using susceptible genotypes of SNPs. The performance of the resultant model had a sensitivity of 68.2% and specificity of 60.7% on 317 CHC patients treated with IFN-combined therapy. In addition, a prediction model with both the host genetic and viral genotype information was also constructed which enhanced the performance with a sensitivity of 80.7% and specificity of 67.2%. Conclusions: A genetic model was constructed to predict outcomes of the combination therapy in CHC patients with high sensitivity and specificity. Results also provide a possible process of selecting targets for predicting treatment outcomes and the basis for developing pharmacogenetic tests.

Single nucleotide polymorphisms and haplotypes in the IL10 region associated with HCV clearance

Hepatitis C virus (HCV) is an infectious blood-borne pathogen that usually persists as a chronic infection. However, approximately 15% of the time, patients can clear the virus, indicating that host differences could be critical in determining the course of HCV infection. The inflammatory response is crucial to resolving or failing to resolve an acute HCV infection. Some previous reports have implicated interleukin 10 (IL10) polymorphisms with successful anti-HCV therapy and natural viral clearance. We tested 54 single nucleotide polymorphisms (SNPs) in the IL10 region (+/-300 kb and 24 within the IL10 gene itself), which contains 13 genes including the IL10 immunomodulatory paralogs IL19, IL20, and IL24, for association with HCV clearance vs persistence. SNPs from two haplotype block regions, one at IL10 and the other from IL19/IL20, were associated with HCV clearance in African Americans (91 clearance cases and 183 chronically infected matched controls; P=0.05-0.002) while with expectation-maximization algorithm-reconstructed haplotypes, these associations remained (P=0.05-0.002). However, no significant associations were detected in European Americans (108 clearance and 245 chronic). Our results indicate that variants of the immunomodulatory IL10 and IL19/IL20 genes may be involved in natural clearance of HCV in the African-American population.

GNB3 C825T polymorphism and response to interferon-alfa/ribavirin treatment in patients with hepatitis C virus genotype 1 (HCV-1) infection

BACKGROUND/AIMS

The outcome of infection with the hepatitis C virus (HCV) has been shown to be influenced by genetic host factors. The G protein beta3 subunit (GNB3) C825T polymorphism has been shown to determine immune cell functions in vitro. We investigated the association of GNB3 genotypes with treatment response in HCV-infected patients.

METHODS

We genotyped 1781 HCV-free blood donors and 232 HCV-infected patients treated with interferon-alfa/ribavirin. Sustained virologic response (SVR) was defined by undetectable HCV-RNA 24 weeks after discontinuation of therapy. Non-response (NR) was defined by positive HCV-RNA at the end of at least 24 weeks of treatment. GNB3 genotypes were determined by DNA restriction enzyme analyses.

RESULTS

Genotype distribution was not significantly different in healthy controls and HCV-infected patients. Only in HCV genotype 1-infected patients a significant correlation between GNB3 CC genotype and NR could be observed (6 TT, 42 TC, 54 CC) versus SVR (11 TT, 25 TC, 19 CC) patients (P = 0.004). In a logistic regression analysis including biochemical and virologic characteristics, only GNB3 CC genotype was significantly associated with NR (OR 4.9; 95% CI = 1.4-16.5; P = 0.011).

CONCLUSIONS

The GNB3 825 CC genotype is associated with NR in HCV-1-infected patients.

LMP7/TAP2 gene polymorphisms and HPV infection in esophageal carcinoma patients from a high incidence area in China

Esophageal carcinoma is characterized by a widely ranged incidence variation among the different geographic regions. Anyang is a county in Henan Province of North China with the highest prevalence of esophageal carcinoma. Human papillomavirus (HPV) infection has been linked to the etiology of esophageal cancer in this area. In this study, we investigated correlations of the polymorphisms at low molecular weight polypeptide (LMP) and transporters with antigen processing (TAP) genes, with the risk of esophageal carcinoma. DNA extracted from either tumor specimens or esophageal epithelial cells was used to test HPV infection. Peripheral blood lymphocyte DNA was used for LMP/TAP genotyping. Polymerase chain reaction was performed to analyze HPV infection and LMP/TAP gene polymorphisms. The combined effect of LMP/TAP gene polymorphisms and HPV infection on esophageal carcinoma was analyzed by using unconditional logistic regression models. The TAP2 codons 379 isoleucine carriers and LMP7 codons 145 lysine carriers were found to be more susceptible to esophageal carcinoma (OR = 2.74, 95% CI = 1.15-6.49, P = 0.023 for TAP2; OR = 2.19, 95% CI = 1.09-4.37, P = 0.027 for LMP7). Patients carrying homozygous LMP7/TAP2 haplotype C, which contained the glutamine at LMP7 codons 145 and the isoleucine at TAP2 codons 379, were more prone to develop esophageal carcinoma (OR = 2.96, 95% CI = 1.13-7.81, P = 0.027). An additive effect on the risk of esophageal carcinoma development was found among individuals carrying LMP7/TAP2 haplotype C and infected by HPV (OR = 4.33, 95% CI = 2.53-7.42, P < 0.0001). LMP7/TAP2 haplotype C may act as the risk factor in esophageal carcinoma development and it may influence the tumorigenesis in HPV infected individuals.

Host genetic determinants in hepatitis C virus infection

In addition to viral and environmental/behavioural factors, host genetic diversity is believed to contribute to the spectrum of clinical outcomes in hepatitis C virus (HCV) infection. This paper reviews the literature with respect to studies of host genetic determinants of HCV outcome and attempts to highlight trends and synthesise findings. With respect to the susceptibility to HCV infection, several studies have replicated associations of the HLA class II alleles DQB1(*)0301 and DRB1(*)11 with self-limiting infection predominantly in Caucasian populations. Meta-analyses yielded summary estimates of 3.0 (95% CI: 1.8-4.8) and 2.5 (95% CI: 1.7-3.7) for the effects of DQB1(*)0301 and DRB1(*)11 on self-limiting HCV, respectively. Studies of genetics and the response to interferon-based therapies have largely concerned single-nucleotide polymorphisms and have been inconsistent. Regarding studies of genetics and the progression of HCV-related disease, there is a trend with DRB1(*)11 alleles and less severe disease. Studies of extrahepatic manifestations of chronic HCV have shown an association between DQB1(*)11 and DR3 with the formation of cryoglobulins. Some important initial observations have been made with respect to genetic determinants of HCV outcome. Replication studies are needed for many of these associations, as well as biological data on the function of many of these polymorphisms.

CCR5 promoter polymorphism influences the interferon response of patients with chronic hepatitis C in Japan

OBJECTIVE

Chemokines and chemokine receptors play important roles in the pathogenesis of chronic hepatitis C. Here, we explore the influence of genetic polymorphisms of chemokine and chemokine receptors such as regulated upon activation and T cell secreted (RANTES), CC chemokine receptor 5 (CCR5) and CCR2 on the outcome of interferon (IFN) monotherapy.

METHODS

In a cohort of 105 patients with chronic hepatitis C as well as in 50 sustained responders and 55 nonresponders the presence of polymorphisms such as CCR5-Delta32, CCR5 59029G/A, CCR2 V64I and RANTES -403G/C was determined.

RESULTS

Gender, age, liver histological staging, pretreatment ALT levels, total dose of IFN and frequencies of polymorphisms (CCR2 V64I and RANTES -403G/C) did not significantly differ between the two groups. A low viral load, hepatitis C virus (HCV) serotype 2 and CCR5 59029G/G were significantly associated with a higher probability of a sustained response (p < 0.01, p < 0.05, p < 0.05, respectively). Multiple logistic regression analysis showed that a low viral load, HCV serotype 2 and CCR5 59029G/G were independently associated with a sustained response [odds ratio 3.980 (1.647-9.621), p = 0.002; 3.584 (1.439-8.924), p = 0.006; 3.638 (1.163-11.379), p = 0.026, respectively].

CONCLUSION

These findings indicate that CCR5 59029 is a host genetic factor that is associated with responses to IFN therapy among Japanese patients with chronic hepatitis C.

Haplotype-tagging RANTES gene variants influence response to antiviral therapy in chronic hepatitis C

The response to antiviral therapy for chronic hepatitis C virus (HCV) is complex and is determined by both environmental and genetic factors. Recently, interacting gene polymorphisms of the chemokine RANTES have been shown to affect HIV disease progression. Our aim was to assess if these RANTES variants are associated with response to anti-HCV therapy. Three linked RANTES single nucleotide polymorphisms (403 G/A, Int1.1 T/C, and 3' 222 T/C) were determined in 297 Caucasian patients who were treated for chronic HCV infection and 152 control subjects. Characteristic nucleotide combinations on single chromosomes (haplotypes) were reconstructed and tested for disease association. Four common RANTES haplotypes (prevalence > 3%) were identified in patients and controls [corrected]. There was a strong association of RANTES haplotype distribution with outcome of antiviral combination therapy (P = .007). Specifically, RANTES haplotypes carrying Int1.1 C and 3' 222 C alleles were more frequent in nonresponders than in patients with a sustained response to antiviral therapy (odds ratio 1.9, P = .01). The influence of these RANTES haplotypes on the outcome of therapy was more pronounced in patients infected with HCV genotypes 1 and 4 (odds ratio 2.3, P = .02). Because RANTES haplotypes carrying Int1.1 C are known to down-regulate RANTES transcriptional activity in vitro, the haplotype analysis fits the hypothesis of a diminished T helper 1 lymphocyte response in patients with a negative response to antiviral therapy. In conclusion, RANTES haplotypes might contribute to the polygenic interaction between HCV and the host immune system and could help to risk stratify patients prior to antiviral therapy.

Genes of the LMP/TAP cluster are associated with the human autoimmune disease vitiligo

Genes within the class II region of the major histocompatibility complex (MHC), including genes involved in antigen processing and presentation, have been reported to be associated with several autoimmune diseases. We report here that the LMP/TAP gene region is significantly associated with vitiligo, a disorder in which biochemical defects and/or autoimmune destruction cause melanocyte loss and resulting skin depigmentation. Case/control analyses revealed genetic association of vitiligo in Caucasian patients with an early age of onset with the transporter associated with antigen processing-1 (TAP1) gene. A family-based association method revealed biased transmission of specific alleles from heterozygous parents to affected offspring for the TAP1 gene, as well as for the closely linked LMP2 and LMP7 genes encoding subunits of the immunoproteasome. No association with vitiligo was found for the MECL1 gene, which encodes a third immunoproteasome subunit and is unlinked to the MHC class II region. These results suggest a possible role for the MHC class I antigen processing and/or presentation pathway in the antimelanocyte autoimmune response involved in vitiligo pathogenesis.

Single nucleotide polymorphism of the MxA gene promoter influences the response to interferon monotherapy in patients with hepatitis C viral infection

The biological activity of interferon (IFN) is mediated by the induction of intracellular antiviral proteins, such as 2'-5' oligoadenylate synthetase, dsRNA-activated protein kinase and MxA protein. Among these, MxA protein is assumed to be the most specific surrogate parameter for IFN action. This study was performed to elucidate whether a single nucleotide polymorphism (SNP) (G/T at nt-88) in the promoter region of the MxA gene influences the response to IFN therapy in patients with chronic hepatitis C virus (HCV) infection. Polymorphisms of the MxA gene in 235 HCV patients were determined by polymerase chain reaction-restriction fragment length polymorphism. The frequency of SNP was compared between sustained-responders (n = 78) and nonresponders (n = 157), as determined by biochemical and virological responses to IFN. Multivariate analysis showed that among all patients, HCV genotype, HCV RNA level and the SNP of the MxA gene were independent and significant determinants of the outcome of IFN therapy [odds ratio 3.8 (95% confidence interval 2.0-7.0), P < 0.0001; 0.27 (0.15-0.50), P < 0.0001; 1.8 (1.0-3.4), P = 0.0464, respectively]. Furthermore, among patients with a low viral load (< or =2.0 Meq/mL), MxA-T-positive patients were more likely to show a sustained response compared with MxA-T-negative patients [2.87 (1.3-6.3); 62%vs 36%; P = 0.0075]. Our findings suggested that the SNP of the MxA gene is one of the important host factors that independently influences the response to IFN in patients with chronic HCV infection, especially those with a low viral load.

Immunoproteasomes and immunosenescence

Aging is a complex process which is accompanied with the decline and the reshaping of different functions of the body. In particular the immune system is characterized, during ageing (immunosenescence) by a remodeling of innate immunity (well preserved, up-regulated) and clonotypical immunity (severely altered) and by the occurrence of a chronic inflammatory process (inflammaging) which are, at least in part, genetically controlled. In this scenario, it can be anticipated that a crucial role is played by age-related structural and functional alterations and modifications of proteasomes and immunoproteasomes, the last being a key component of antigen processing and MHC class I antigen presentation. A variety of experimental data are available, suggesting that proteasomes are affected by age, and that in centenarians they are relatively preserved. On the contrary, few data are available on immunoproteasomes, likely as a consequence of the poverty of suitable cellular models. Lymphoblastoid cell lines from EBV immortalized B cells from old donors is envisaged as a possible model for the study of immunoproteasomes in humans and their changes with age. Thus, basic questions such as those related to possible consequences, for immune responses in infectious diseases and cancer, of age-related alterations of antigen processing and presenting, change with age of self-antigen repertoire, and the genetic basis of immunoproteasome activity and its change with age, remain largely unanswered.

Association of HLA alleles with response (especially biochemical response) to interferon therapy in Japanese patients with chronic hepatitis C

The response of chronic hepatitis C to interferon (IFN) treatment is classified as complete response (CR), biochemical response (BR), or no response (NR). Several studies have found no difference in prevention of hepatocellular carcinoma by IFN therapy between patients with CR and those with BR. We investigated whether specific human leukocyte antigen (HLA) alleles were associated with response to IFN, especially BR, in 138 patients with chronic hepatitis C. Comparing patients with and without CR, male, a low viral titer, genotype 2a or 2b, HLA-B55, and HLA-DRB1-0803 were more common in the group with CR. Multivariate analysis showed that age (adjusted odds ratio [OR], 0.95 by every year [95% confidence interval [CI] 0.90 - 0.99], p = 0.028), genotype 2a or 2b (5.21 [95% CI 1.63 - 16.6], p = 0.005), and low viral titer (8.58 (2.66 - 27.7), p < 0.001) were associated with CR. Comparing patients with BR and NR, the pretreatment alanine aminotransferase (ALT) level was lower in the BR group (p < 0.001). Both HLA-B7 and HLA-DRB1-0101 were more common in this group (p = 0.002). As the alleles HLA-B7 and HLA-DRB1-0101 were in linkage disequilibrium, the HLA-B7-DRB1-0101 haplotype may be associated with BR. Multivariate analysis indicated that a low ALT level (0.98 by every 1 IU/L [95% CI 0.98 - 0.99], p = 0.001) and HLA-B7-DRB1-0101 haplotype (32.3 [95% CI 1.50 - 693.1], p = 0.026) contributed significantly to BR. This study suggested that host HLA expression, but not viral factors, can influence BR.