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Background: Hepatitis is an inflammation of the liver that has several potential causes; however, the genetic association has recently begun to be studied. Objectives: Human leukocyte antigen (HLA) is an essential component of the immune response, and in this study, we conducted a correlation analysis to determine whether genetic polymorphisms of HLA and drinking habits affect hepatitis development. Methods: Genetic polymorphisms of HLA were investigated using Korean genomic and epidemiological data. A gene association study was performed using PLINK version 1.07. Other statistical analyses and multivariate logistic regression analyses were performed using PASW Statistics version 18.0. Results: Thirteen single nucleotide polymorphisms (SNPs) in HLA-DRA showed significant statistical correlations with hepatitis. In particular, rs9268645 showed the highest statistical association with hepatitis (P = 3.97 × 10–5, odds ratio [OR] = 0.72, 95% confidence interval [CI] = 0.61–0.84). In multivariate logistic regression analysis, when considering only genetic factors, the A allele of rs9268644 showed a reduced hepatitis OR of approximately 0.52-fold. However, the group carrying the minor A allele (AA + AC) with alcohol consumption had an approximately 1.58-fold OR of hepatitis compared to that of the group carrying the same allele with no alcohol consumption. This implies that the A allele of rs9268644 has a protective effect on hepatitis by genetic factors and shows sensitivity to alcohol. Conclusions: Our results showed that hepatitis is influenced by both genetic and external factors (drinking habits), which can provide new guidelines for the prevention or treatment of hepatitis. [ABSTRACT FROM AUTHOR]

Purpose: Reliable biomarkers to predict the outcome and treatment response of estrogen receptor (ER)-negative breast cancer (BC) are urgently needed. Since immune-related signaling plays an important role in the tumorigenesis of ER-negative BC, we asked whether Notch genes, alone or in combination with other immune genes, can be used to predict the clinical outcome and immune checkpoint blockade (ICB) for this type of cancer. Methods: We analyzed transcriptome data of 6918 BC samples from five independent cohorts, 81 xenograft triple-negative BC tumors that respond differently to ICB treatment and 754 samples of different cancer types from patients treated with ICB agents. Results: We found that among four Notch genes, the expression levels of NOTCH1 and NOTCH4 were positively associated with recurrence of ER-negative BC, and that combined expression of these two genes (named Notch14) further enhanced this association, which was comparable with that of the Notch pathway signature. Analysis of 1182 immune-related genes revealed that the expression levels of most HLA genes, particularly HLA-DMA and -DRA, were reversely associated with recurrence in ER-negative BC with low, but not high Notch14 expression. A combined expression signature of NOTCH1, NOTCH4, HLA-DMA and HLA-DRA was more prognostic for ER-negative and triple-negative BCs than previously reported immune-related signatures. Furthermore, we found that the expression levels of these four genes were also synergistically associated with T cell exclusion score, infiltration of specific T cells and ICB efficacy in ER-negative BC, thereby providing a potential molecular mechanism for the synergistic effect of these genes on BC. Conclusions: Our data indicate that a gene signature composed of NOTCH1, NOTCH4, HLA-DMA and HLA-DRA may serve as a potential promising biomarker for predicting ICB therapy efficacy and recurrence in ER-negative/triple-negative BCs. [ABSTRACT FROM AUTHOR]

HLA-DRA gene polymorphisms might play an important role in alcohol dependence (AD). We examined genetic associations of 29 single-nucleotide polymorphisms (SNPs) within the HLA-DRA gene with AD using two Caucasian samples-the Collaborative Study on the Genetics of Alcoholism (COGA) sample (660 AD cases and 400 controls) and the Study of Addiction: Genetics and Environment (SAGE) sample (623 cases and 1,016 controls). Logistic regression analysis using PLINK showed that 16 SNPs were associated with AD in the COGA sample and 13 SNPs were associated with AD in the SAGE sample ( p < 0.05). The best novel signal was SNP rs2239803 associated with AD in both samples ( p = 0.000817 for the COGA sample and p = 0.0026 for the SAGE sample, respectively) while one flanking SNP rs4935356 also showed strong association in both samples ( p = 0.00219 and 0.0026 for the COGA and SAGE samples, respectively). Furthermore, these two SNPs revealed stronger associations in meta-analysis of these two samples ( p = 8.97 × 10 and 2.02 × 10 for rs2239803 and rs4935356, respectively). In addition, the G-A haplotype from these two SNPs revealed a significant association with AD in both the COGA and SAGE samples ( p = 0.0007 and 0.0019, respectively). These findings highlight the novel associations with HLA-DRA that may play an important role in the etiology of AD. [ABSTRACT FROM AUTHOR]

Generally speaking, inflammation as a key piece to the Parkinson's disease (PD) puzzle is a relatively new concept. Acceptance of this concept has gained ground as studies by various researchers have demonstrated the potential of mitigating nigral cell death by curtailing inflammation in animal models of PD. We propose that the significance of inflammation in PD pathology may extend beyond the nigrostriatal region. In the current review, we present an argument for this based on the Braak staging and discuss how inflammation might contribute to the development of non-motor PD symptoms. [ABSTRACT FROM AUTHOR]

The human HLA class II histocompatibility antigen, DR alpha chain ( HLA-DRA) is a member of the MHC class II gene family that activates T cells allowing secretion in various cytokines to immune responses. Thus, we explored whether the genetic variations in HLA-DRA gene can influence susceptibility for aspirin exacerbated respiratory disease (AERD). To carry out the investigation, 22 single nucleotide polymorphisms (SNPs) in HLA-DRA were genotyped in 592 Korean asthma patients. Logistic and regression analyseis wereas used to evaluate the P-values for associations of HLA-DRA polymorphisms with AERD and a relevant phenotype, the fall rate of forced expiratory volume in the 1 second (FEV). Logistic analyses revealed that two variants, rs6911777 and HLA_DRA_BL1_ht3 were initially associated with AERD via dominant and recessive models ( P = 0.05 and 0.01, respectively), however, the signals did not reach the threshold of significance after multiple corrections. Furthermore, we observed that fall rate of FEV1 by aspirin provocation was marginally different between AERD cases and aspirin-tolerant asthma (ATA) controls (mean = 24.63 vs 3.54, respectively). This study provides result of first association analysis between the variants of HLA-DRA and the risk of AERD, and conclusions derived from the study do not support significant roles of polymorphisms in HLA-DRA with AERD. [ABSTRACT FROM AUTHOR]