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Zhang Q, Shen C, Zhang L, Wang M. Causal Relationship between Chronic Hepatitis B and Stroke in East Asians: A Mendelian Randomization Study. J Cardiovasc Dev Dis 2024; 11:247. [PMID: 39195155 DOI: 10.3390/jcdd11080247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2024] [Revised: 08/07/2024] [Accepted: 08/08/2024] [Indexed: 08/29/2024] Open
Abstract
Both chronic hepatitis B (CHB) and stroke contribute to a high burden of disease in the majority of low- and middle-income countries. Epidemiological studies yield conflicting results on the association between CHB and stroke, and the causal relationship remains inconclusive. This study aimed to assess the causal effects of CHB on stroke and its subtypes in East Asians by Mendelian randomization (MR) analysis. Variants associated with CHB were obtained from a genome-wide association study (GWAS) of Chinese samples as instrumental variables. The summary statistics for stroke in East Asians were derived from the largest published GWAS to date. Two-sample MR analyses were implemented to evaluate the causal effects of CHB on stroke and its subtypes by using the canonical inverse variance weighting method and other supplementary approaches. We observed an association between genetic predisposition to CHB and a decreased risk of large-artery atherosclerotic stroke (odds ratio = 0.872, 95% confidence interval = 0.786-0.967, p = 0.010). The causal effects of CHB on other stroke outcomes were not statistically significant. Evidence for heterogeneity and horizontal pleiotropy were not found in our analyses. This study provides genetic evidence for a negative association between CHB and stroke in East Asians, which helps improve our understanding of the etiology of stroke.
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Affiliation(s)
- Qi Zhang
- School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China
| | - Cancong Shen
- School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China
| | - Lei Zhang
- School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China
- School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China
| | - Maiqiu Wang
- School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China
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2
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Dellino M, Pinto G, D’Amato A, Barbara F, Di Gennaro F, Saracino A, Laganà AS, Vimercati A, Malvasi A, Malvasi VM, Cicinelli E, Vitagliano A, Cascardi E, Pinto V. Analogies between HPV Behavior in Oral and Vaginal Cavity: Narrative Review on the Current Evidence in the Literature. J Clin Med 2024; 13:1429. [PMID: 38592283 PMCID: PMC10932293 DOI: 10.3390/jcm13051429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 02/26/2024] [Accepted: 02/27/2024] [Indexed: 04/10/2024] Open
Abstract
Human genital papilloma virus infection is the most prevalent sexually transmitted infection in the world. It is estimated that more than 75% of sexually active women contract this infection in their lifetime. In 80% of young women, there is the clearance of the virus within 18-24 months. In developed countries, oral squamous cell carcinoma (OSCC) is now the most frequent human papilloma virus (HPV)-related cancer, having surpassed cervical cancer, and it is predicted that by 2030 most squamous cell carcinomas will be the HPV-related rather than non-HPV-related form. However, there are currently no screening programs for oral cavity infection. While the natural history of HPV infection in the cervix is well known, in the oropharynx, it is not entirely clear. Furthermore, the prevalence of HPV in the oropharynx is unknown. Published studies have found wide-ranging prevalence estimates of 2.6% to 50%. There are also conflicting results regarding the percentage of women presenting the same type of HPV at two mucosal sites, ranging from 0 to 60%. Additionally, the question arises as to whether oral infection can develop from genital HPV infection, through oral and genital contact or by self-inoculation, or whether it should be considered an independent event. However, there is still no consensus on these topics, nor on the relationship between genital and oral HPV infections. Therefore, this literature review aims to evaluate whether there is evidence of a connection between oral and cervical HPV, while also endorsing the usefulness of the screening of oral infection in patients with high-risk cervical HPV as a means of facilitating the diagnosis and early management of HPV-related oral lesions. Finally, this review emphasizes the recommendation for the use of the HPV vaccines in primary prevention in the male and female population as the most effective means of successfully counteracting the increasing incidence of OSCC to date.
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Affiliation(s)
- Miriam Dellino
- 1st Unit of Obstetrics and Gynecology, Department of Interdisciplinary Medicine, University of Bari, 70124 Bari, Italy; (M.D.); (A.V.); (A.M.); (E.C.); (A.V.); (V.P.)
| | - Grazia Pinto
- Dentistry Unit, Department of Interdisciplinary Medicine, University of Bari Medical School, 70124 Bari, Italy;
| | - Antonio D’Amato
- 1st Unit of Obstetrics and Gynecology, Department of Interdisciplinary Medicine, University of Bari, 70124 Bari, Italy; (M.D.); (A.V.); (A.M.); (E.C.); (A.V.); (V.P.)
| | - Francesco Barbara
- Unit of Otolaryngology, Department of Ophtalmology and Otolaryngology, University of Bari, 70124 Bari, Italy;
| | - Francesco Di Gennaro
- Clinic of Infectious Diseases, Department of Precision and Regenerative Medicine and Ionian Area, Polyclinic of Bari, University Hospital Polyclinic, University of Bari, Piazza Giulio Cesare n. 11, 70124 Bari, Italy; (F.D.G.); (A.S.)
| | - Annalisa Saracino
- Clinic of Infectious Diseases, Department of Precision and Regenerative Medicine and Ionian Area, Polyclinic of Bari, University Hospital Polyclinic, University of Bari, Piazza Giulio Cesare n. 11, 70124 Bari, Italy; (F.D.G.); (A.S.)
| | - Antonio Simone Laganà
- Unit of Obstetrics and Gynecology, “Paolo Giaccone” Hospital, Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, 90127 Palermo, Italy;
| | - Antonella Vimercati
- 1st Unit of Obstetrics and Gynecology, Department of Interdisciplinary Medicine, University of Bari, 70124 Bari, Italy; (M.D.); (A.V.); (A.M.); (E.C.); (A.V.); (V.P.)
| | - Antonio Malvasi
- 1st Unit of Obstetrics and Gynecology, Department of Interdisciplinary Medicine, University of Bari, 70124 Bari, Italy; (M.D.); (A.V.); (A.M.); (E.C.); (A.V.); (V.P.)
| | | | - Ettore Cicinelli
- 1st Unit of Obstetrics and Gynecology, Department of Interdisciplinary Medicine, University of Bari, 70124 Bari, Italy; (M.D.); (A.V.); (A.M.); (E.C.); (A.V.); (V.P.)
| | - Amerigo Vitagliano
- 1st Unit of Obstetrics and Gynecology, Department of Interdisciplinary Medicine, University of Bari, 70124 Bari, Italy; (M.D.); (A.V.); (A.M.); (E.C.); (A.V.); (V.P.)
| | - Eliano Cascardi
- Pathology Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari, Piazza Giulio Cesare 11, 70121 Bari, Italy;
| | - Vincenzo Pinto
- 1st Unit of Obstetrics and Gynecology, Department of Interdisciplinary Medicine, University of Bari, 70124 Bari, Italy; (M.D.); (A.V.); (A.M.); (E.C.); (A.V.); (V.P.)
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3
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Luo M, Dong C, Liang X, Na R, Zhou B, Hou J, Jiang DK. A genetic variant of CXCR4 predicts pegylated interferon-alpha treatment response in HBeAg-positive chronic hepatitis B patients. J Clin Microbiol 2024; 62:e0139623. [PMID: 38259071 PMCID: PMC10865838 DOI: 10.1128/jcm.01396-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 12/11/2023] [Indexed: 01/24/2024] Open
Abstract
Chemokine receptor 4 (CXCR4) plays a vital role in immunoregulation during hepatitis B virus (HBV) infection. This study aimed to screen single-nucleotide polymorphisms (SNPs) of CXCR4 for predicting pegylated interferon-alpha (PegIFNα) therapy response in chronic hepatitis B (CHB) patients. This retrospective cohort study enrolled a total of 945 CHB patients in two cohorts (Cohort 1, n = 238; Cohort 2, n = 707), and all the patients were hepatitis B e antigen (HBeAg)-positive and treated with PegIFNα for 48 weeks and followed up for 24 weeks. Twenty-two tag SNPs were selected in CXCR4 and its flanking region. A polygenic score (PGS) was utilized to evaluate the cumulative effect of multiple SNPs. The relationships between CXCR4 SNPs and PGS and PegIFNα treatment response were explored in the two cohorts. Among the 22 candidate SNPs of CXCR4, rs28367495 (T > C) was significantly linked to PegIFNα treatment response in both cohorts. In patients with more number of rs28367495 C allele, a higher rate of combined response (CR, defined as HBeAg seroconversion and HBV DNA level < 3.3 log10 IU/mL; P = 1.51 × 10-4), a lower mean hepatitis B surface antigen (HBsAg) level (P = 4.76 × 10-4), and a higher mean HBsAg decline (P = 3.88 × 10-4) at Week 72 were achieved. Moreover, a PGS integrating CXCR4_rs28367495 and five previously reported SNPs was strongly correlated with CR (P = 1.26 × 10-13), HBsAg level (P = 4.90 × 10-4), and HBsAg decline (P = 0.005) in all the patients of the two cohorts. CXCR4_rs28367495 is a promising indicator for predicting the responsiveness to PegIFNα treatment for HBeAg-positive CHB patients. The new PGS may further improve the prediction performance.
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Affiliation(s)
- Mengqi Luo
- State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Institutes of Liver Diseases Research of Guangdong Province, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
- The Key Laboratory of Molecular Pathology (Hepatic Diseases) of Guangxi, the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
- Department of Pathology, the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Chao Dong
- School of Basic Medicine, Inner Mongolia Medical University, Hohhot, China
| | - Xinghe Liang
- State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Institutes of Liver Diseases Research of Guangdong Province, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Rong Na
- Division of Urology, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
- Department of Surgery, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
| | - Bin Zhou
- State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Institutes of Liver Diseases Research of Guangdong Province, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jinlin Hou
- State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Institutes of Liver Diseases Research of Guangdong Province, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - De-Ke Jiang
- State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Institutes of Liver Diseases Research of Guangdong Province, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
- The Key Laboratory of Molecular Pathology (Hepatic Diseases) of Guangxi, the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
- Department of Pathology, the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
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Kenny J, Mullin BH, Tomlinson W, Robertson B, Yuan J, Chen W, Zhao J, Pavlos NJ, Walsh JP, Wilson SG, Tickner J, Morahan G, Xu J. Age-dependent genetic regulation of osteoarthritis: independent effects of immune system genes. Arthritis Res Ther 2023; 25:232. [PMID: 38041181 PMCID: PMC10691153 DOI: 10.1186/s13075-023-03216-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/22/2023] [Indexed: 12/03/2023] Open
Abstract
OBJECTIVES Osteoarthritis (OA) is a joint disease with a heritable component. Genetic loci identified via genome-wide association studies (GWAS) account for an estimated 26.3% of the disease trait variance in humans. Currently, there is no method for predicting the onset or progression of OA. We describe the first use of the Collaborative Cross (CC), a powerful genetic resource, to investigate knee OA in mice, with follow-up targeted multi-omics analysis of homologous regions of the human genome. METHODS We histologically screened 275 mice for knee OA and conducted quantitative trait locus (QTL) mapping in the complete cohort (> 8 months) and the younger onset sub-cohort (8-12 months). Multi-omic analysis of human genetic datasets was conducted to investigate significant loci. RESULTS We observed a range of OA phenotypes. QTL mapping identified a genome-wide significant locus on mouse chromosome 19 containing Glis3, the human equivalent of which has been identified as associated with OA in recent GWAS. Mapping the younger onset sub-cohort identified a genome-wide significant locus on chromosome 17. Multi-omic analysis of the homologous region of the human genome (6p21.32) indicated the presence of pleiotropic effects on the expression of the HLA - DPB2 gene and knee OA development risk, potentially mediated through the effects on DNA methylation. CONCLUSIONS The significant associations at the 6p21.32 locus in human datasets highlight the value of the CC model of spontaneous OA that we have developed and lend support for an immune role in the disease. Our results in mice also add to the accumulating evidence of a role for Glis3 in OA.
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Affiliation(s)
- Jacob Kenny
- School of Biomedical Sciences, University of Western Australia, Crawley, WA, 6009, Australia.
| | - Benjamin H Mullin
- School of Biomedical Sciences, University of Western Australia, Crawley, WA, 6009, Australia
- Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | - William Tomlinson
- School of Biomedical Sciences, University of Western Australia, Crawley, WA, 6009, Australia
| | - Brett Robertson
- Australian Institute of Robotic Orthopaedics, Crawley, WA, Australia
| | - Jinbo Yuan
- School of Biomedical Sciences, University of Western Australia, Crawley, WA, 6009, Australia
| | - Weiwei Chen
- Research Centre for Regenerative Medicine, and Guangxi Key Laboratory of Regenerative Medicine, Guangxi Medical University, Guangxi, China
| | - Jinmin Zhao
- Research Centre for Regenerative Medicine, and Guangxi Key Laboratory of Regenerative Medicine, Guangxi Medical University, Guangxi, China
| | - Nathan J Pavlos
- School of Biomedical Sciences, University of Western Australia, Crawley, WA, 6009, Australia
| | - John P Walsh
- Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
- Medical School, University of Western Australia, Crawley, WA, Australia
| | - Scott G Wilson
- School of Biomedical Sciences, University of Western Australia, Crawley, WA, 6009, Australia
- Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
| | - Jennifer Tickner
- School of Biomedical Sciences, University of Western Australia, Crawley, WA, 6009, Australia
| | - Grant Morahan
- Centre for Diabetes Research, Harry Perkins Institute for Medical Research, Nedlands, WA, Australia.
| | - Jiake Xu
- School of Biomedical Sciences, University of Western Australia, Crawley, WA, 6009, Australia
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
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Luo M, Zhang L, Yang C, Zhou B, Hou J, Jiang DK. CXCL13 variant predicts pegylated-interferon α treatment response in HBeAg-positive chronic hepatitis B patients. J Med Virol 2023; 95:e28963. [PMID: 37470204 DOI: 10.1002/jmv.28963] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 06/17/2023] [Accepted: 07/06/2023] [Indexed: 07/21/2023]
Abstract
As a key immune cytokine, C-X-C motif chemokine ligand 13 (CXCL13) has been reported to play critical roles in immune control of hepatitis B virus (HBV) infection. We aimed to screen single-nucleotide polymorphisms (SNPs) of CXCL13 for predicting response to pegylated interferon-alpha (PegIFNα) therapy of chronic hepatitis B (CHB) patients. Two independent cohorts with a total of 945 (Cohort 1, n = 238; Cohort 2, n = 707) hepatitis B e antigen (HBeAg)-positive CHB patients treated with PegIFNα were enrolled in this retrospective cohort study. Eight candidate SNPs were selected through gene-wide SNP mining within or flanking CXCL13. A polygenic score (PGS) was utilized to assess the cumulative effects of multiple SNPs. The associations of candidate SNPs and PGS with combined response (CR, defined as the combination of HBeAg seroconversion and HBV DNA level <3.3log10 IU/mL) and hepatitis B surface antigen (HBsAg) level were evaluated. Among the eight candidate SNPs, rs76084459 which is located at upstream of CXCL13 was significantly associated with both CR (p = 0.002) and HBsAg level (p = 0.015). A PGS integrating CXCL13_rs76084459 and five other SNPs, which were previously identified as predictors of PegIFNα treatment response, was further strongly correlated with CR (p = 1.759 × 10-10 ) and HBsAg level (p = 0.004). This study demonstrated that CXCL13_rs76084459 can predict response to PegIFNα treatment of HBeAg-positive CHB patients. A PGS composed of six SNPs including CXCL13_rs76084459 predicts PegIFNα treatment response better.
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Affiliation(s)
- Mengqi Luo
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Institutes of Liver Diseases Research of Guangdong Province, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
- The Key Laboratory of Molecular Pathology (Hepatic Diseases) of Guangxi, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Lingyan Zhang
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Institutes of Liver Diseases Research of Guangdong Province, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Chou Yang
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Institutes of Liver Diseases Research of Guangdong Province, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Bin Zhou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Institutes of Liver Diseases Research of Guangdong Province, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jinlin Hou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Institutes of Liver Diseases Research of Guangdong Province, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - De-Ke Jiang
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Institutes of Liver Diseases Research of Guangdong Province, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
- The Key Laboratory of Molecular Pathology (Hepatic Diseases) of Guangxi, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
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Chen J, Lou S, Chen H, Zhou B, Sun J, Hou J, Jiang DK. CD55 Variant Associated with Pegylated-interferon α Therapy Response in HBeAg-positive Chronic Hepatitis B Patients. J Clin Transl Hepatol 2023; 11:295-303. [PMID: 36643051 PMCID: PMC9817056 DOI: 10.14218/jcth.2022.00057] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 04/20/2022] [Accepted: 05/04/2022] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND AND AIMS Only a small percentage of chronic hepatitis B (CHB) patients effectively respond to treatment with pegylated-interferon alpha (PegIFNα) or nucleos(t)ide analogues (NUCs). We aimed to detect the correlations of complement regulators-associated single-nucleotide polymorphisms (SNPs) with treatment response of hepatitis B e antigen (HBeAg)-positive CHB patients. METHODS A total of 1,763 HBeAg-positive CHB patients were enrolled, 894 received PegIFNα for at least 48 weeks and were followed up for 24 weeks, and 869 received NUCs for 104 weeks. For each patient, nine SNPs in genes encoding for complement regulators were determined and genotyped. To assess the cumulative effect of numerous SNPs, a polygenic score (PGS) was utilized. The correlations of SNPs and PGS with the levels of combined response (CR) and hepatitis B s antigen (HBsAg) loss were also investigated. RESULTS In PegIFNα-treated patients, an intronic SNP of CD55, rs28371597, was strongly related to CR, and the CR rate in rs28371597_GG genotype carriers was only approximately half that of rs28371597_GT/TT genotype carriers (20.29% vs. 37.10%, p=2.00 × 10-3). A PGS incorporating CD55_rs28371597 and two additional SNPs, CFB_rs12614 and STAT4_rs7574865, which had been considered as predictors for PegIFNα treatment response before, was strongly correlated with the levels of CR (p-trend=7.94×10-6) and HBsAg loss (p-trend=9.40×10-3) in PegIFNα-treated patients. In NUCs-treated individuals, however, none of the nine SNPs were shown to be significantly linked to CHB treatment response. CONCLUSIONS CD55_rs28371597 is a promising biomarker for predicting CHB patients' responsiveness to PegIFNα therapy. The updated PGS may be used for optimizing CHB treatment.
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Affiliation(s)
- Jiaxuan Chen
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- The Key Laboratory of Molecular Pathology (Hepatic Diseases) of Guangxi, Department of Pathology, the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Shuang Lou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Haitao Chen
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Bin Zhou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Jian Sun
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Jinlin Hou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - De-Ke Jiang
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- The Key Laboratory of Molecular Pathology (Hepatic Diseases) of Guangxi, Department of Pathology, the Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
- Correspondence to: De-Ke Jiang, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China. ORCID: https://orcid.org/0000-0002-7888-2344. Tel/Fax: +86-20-62786533, E-mail:
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Rybicka M, Verrier ER, Baumert TF, Bielawski KP. Polymorphisms within DIO2 and GADD45A genes increase the risk of liver disease progression in chronic hepatitis b carriers. Sci Rep 2023; 13:6124. [PMID: 37059745 PMCID: PMC10104815 DOI: 10.1038/s41598-023-32753-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 04/01/2023] [Indexed: 04/16/2023] Open
Abstract
The study enrolled 284 patients with chronic hepatitis B virus infection. Participants included people with mild fibrotic lesions (32.5%), moderate to severe fibrotic lesions (27.5%), cirrhotic lesions (22%), hepatocellular carcinoma (HCC) in 5%, and people with no fibrotic lesions in 13%. Eleven SNPs within DIO2, PPARG, ATF3, AKT, GADD45A, and TBX21 were genotyped by mass spectrometry. The rs225014 TT (DIO2) and rs10865710 CC (PPARG) genotypes were independently associated with susceptibility to advanced liver fibrosis. However, cirrhosis was more prevalent in individuals with the GADD45A rs532446 TT and ATF3 rs11119982 TT genotypes. In addition, the rs225014 CC variant of DIO2 was more frequently found in patients with a diagnosis of HCC. These findings suggest that the above SNPs may play a role in HBV-induced liver damage in a Caucasian population.
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Affiliation(s)
- Magda Rybicka
- Department of Photobiology and Molecular Diagnostics, Intercollegiate Faculty of Biotechnology, University of Gdansk and Medical University of Gdansk, Abrahama 58, 80-307, Gdansk, Poland.
| | - Eloi R Verrier
- Inserm, Institut de Recherche sur les Maladies Virales et Hépatiques UMR_S1110, Université de Strasbourg, 67000, Strasbourg, France
| | - Thomas F Baumert
- Inserm, Institut de Recherche sur les Maladies Virales et Hépatiques UMR_S1110, Université de Strasbourg, 67000, Strasbourg, France
- Pôle Hépato-Digestif, Institut Hospitalo-Universitaire, Hôpitaux Universitaires de Strasbourg, 67-000, Strasbourg, France
| | - Krzysztof Piotr Bielawski
- Department of Photobiology and Molecular Diagnostics, Intercollegiate Faculty of Biotechnology, University of Gdansk and Medical University of Gdansk, Abrahama 58, 80-307, Gdansk, Poland
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Alshahrani SH, Alameri AA, Kahar F, Alexis Ramírez-Coronel A, Fadhel Obaid R, Alsaikhan F, Zabibah RS, Qasim QA, Altalbawy FMA, Fakri Mustafa Y, Mirzaei R, Karampoor S. Overview of the role and action mechanism of microRNA-128 in viral infections. Microb Pathog 2023; 176:106020. [PMID: 36746316 DOI: 10.1016/j.micpath.2023.106020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 01/21/2023] [Accepted: 01/31/2023] [Indexed: 02/07/2023]
Abstract
Recently in vivo and in vitro studies have provided evidence establishing the significance of microRNAs (miRNAs) in both physiological and pathological conditions. In this regard, the role of miRNA-128 (miR-128) in health and diseases has been found, and its critical regulatory role in the context of some viral diseases has been recently identified. For instance, it has been found that miR-128 can serve as an antiviral mediator and significantly limit the replication and dissemination of human immunodeficiency virus type 1 (HIV-1). Besides, it has been noted that poliovirus receptor-related 4 (PVRL4) is post-transcriptionally regulated by miR-128, representing possible miRNA targets that can modulate measles virus infection. Of note, the downregulation of seminal exosomes eca-miR-128 is associated with the long-term persistence of Equine arteritis virus (EAV) in the reproductive tract, and this particular miRNA is a putative regulator of chemokine ligand 16 (C-X-C motif) as determined by target prediction analysis. In this review, the latest information on the role and action mechanism of miR-128 in viral infections will be summarized and discussed in detail.
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Affiliation(s)
- Shadia Hamoud Alshahrani
- Medical Surgical Nursing Department, King Khalid University, Almahala, Khamis Mushate, Saudi Arabia
| | - Ameer A Alameri
- Department of Chemistry, University of Babylon, Babylon, Iraq
| | - Fitriani Kahar
- Medic Technology Laboratory, Poltekkes Kemenkes Semarang, Indonesia
| | - Andrés Alexis Ramírez-Coronel
- National University of Education, Azogues, Ecuador; Catholic University of Cuenca, Azogues Campus, Ecuador; University of Palermo, Buenos Aires, Argentina; CES University, Colombia, Azogues, Ecuador
| | - Rasha Fadhel Obaid
- Department of Biomedical Engineering, Al-Mustaqbal University College, Babylon, Iraq
| | - Fahad Alsaikhan
- College of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj, Kingdom of Saudi Arabia
| | - Rahman S Zabibah
- Medical Laboratory Technology Department, College of Medical Technology, The Islamic University, Najaf, Iraq
| | | | - Farag M A Altalbawy
- National Institute of Laser Enhanced Sciences (NILES), Cairo University, Giza 12613, Egypt; Department of Chemistry, University College of Duba, Tabuk University, Duba 71911, Saudi Arabia
| | - Yasser Fakri Mustafa
- Department of Pharmaceutical Chemistry, College of Pharmacy, University of Mosul, Mosul 41001, Iraq
| | - Rasoul Mirzaei
- Venom and Biotherapeutics Molecules Lab, Medical Biotechnology Department, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
| | - Sajad Karampoor
- Gastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran.
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9
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Fang W, Liu H, Qin L, Wang J, Huang X, Pan S, Zheng R. Polymorphisms and gene expression of Notch4 in pulmonary tuberculosis. Front Immunol 2023; 14:1081483. [PMID: 36817473 PMCID: PMC9933242 DOI: 10.3389/fimmu.2023.1081483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 01/23/2023] [Indexed: 02/05/2023] Open
Abstract
Background Tuberculosis (TB) is a serious public health problem to human health, but the pathogenesis of TB remains elusive. Methods To identify novel candidate genes associated with TB susceptibility, we performed a population-based case control study to genotype 41SNPs spanning 21 genes in 435 pulmonary TB patients and 375 health donors from China. Results We found Notch4 gene rs206018 and rs422951 polymorphisms were associated with susceptibility to pulmonary tuberculosis. The association was validated in another independent cohort including 790 TB patients and 1,190 healthy controls. Moreover, we identified that the rs206018 C allele was associated with higher level of Notch4 in PBMCs from pulmonary TB patients. Furthermore, Notch4 expression increased in TB patients and higher Notch4 expression correlated with the severer pulmonary TB. Finally, we explored the origin and signaling pathways involved in the regulation of Notch4 expression in response to Mycobacterium tuberculosis (Mtb) infection. We determine that Mtb induced Notch4 and its ligand Jagged1expression in macrophages, and Notch4 through TLR2/P38 signaling pathway and Jagged1 through TLR2/ERK signaling pathway. Conclusion Our work further strengthens that Notch4 underlay an increased risk of TB in humans and is involved in the occurrence and development of TB, which could serve as a novel target for the host-targeted therapy of TB.
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Affiliation(s)
- Weijun Fang
- School of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China.,Shanghai Key Lab of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Hua Liu
- School of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China.,Shanghai Key Lab of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Lianhua Qin
- Shanghai Key Lab of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jie Wang
- Shanghai Key Lab of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xiaochen Huang
- Shanghai Key Lab of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Sha Pan
- School of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Ruijuan Zheng
- School of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China.,Shanghai Key Lab of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
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10
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Shi DC, Feng SZ, Zhong Z, Cai L, Wang M, Fu DY, Yu XQ, Li M. Functional variant rs12614 in CFB confers a low risk of IgA nephropathy by attenuating complement alternative pathway activation in Han Chinese. Front Immunol 2022; 13:973169. [PMID: 36311737 PMCID: PMC9606215 DOI: 10.3389/fimmu.2022.973169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 09/26/2022] [Indexed: 12/14/2022] Open
Abstract
Activation of the alternative pathway (AP) of complement is thought to play an important role in Immunoglobin A nephropathy (IgAN). Our previous study showed that rs4151657 within the complement factor B (CFB) gene increased the risk of IgAN. The protein encoded by the CFB gene is an initial factor that promotes AP activation. The aim of this study was to investigate whether other variants of CFB confer susceptibility to IgAN and elucidate their potential roles in AP activation. A total of 1,350 patients with IgAN and 1,420 healthy controls were enrolled and five tag single-nucleotide polymorphisms were selected for genotyping. The levels of key AP components, such as CFB, complement factor H and complement split product C3a, were measured by enzyme-linked immunosorbent assay. Molecular docking and molecular dynamic simulation were carried out to characterize the mutation of residues in the protein structure and the dynamic properties of wide type and mutation models of CFB protein. The allele-specific effect on CFB expression and its binding affinity to C3b were investigated through cell transfection and surface plasmon resonance analysis, respectively. We found that rs12614 significantly reduced the risk of IgAN (OR = 0.69, 95% CI = 0.52-0.91, P = 0.009), and the rs12614-T (R32W mutation) was correlated with lower CFB levels, higher serum C3 level, and less mesangial C3 deposition in patients with IgAN. The structural model showed that the R32W mutation reduced the structural stability of CFB protein. Furthermore, in vitro study revealed that rs12614-T decreased the expression of CFB and reduced its binding affinity to C3b by four-fold compared with rs12614-C. In conclusion, the rs12614-T in CFB was associated with low risk of IgAN probably by attenuating AP activation.
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Affiliation(s)
- Dian-Chun Shi
- Department of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
- Division of Nephrology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Shao-Zhen Feng
- Department of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Zhong Zhong
- Department of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Lu Cai
- Department of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Meng Wang
- Department of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Dong-Ying Fu
- Department of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
| | - Xue-Qing Yu
- Department of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
- Division of Nephrology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ming Li
- Department of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, China
- Division of Nephrology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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11
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Hamilton E, Yang L, Mentzer AJ, Guo Y, Chen Y, Lv J, Fletcher R, Wright N, Lin K, Walters R, Kartsonaki C, Yang Y, Burgess S, Sansome S, Li L, Millwood IY, Chen Z. Conventional and genetic risk factors for chronic Hepatitis B virus infection in a community-based study of 0.5 million Chinese adults. Sci Rep 2022; 12:12075. [PMID: 35840665 PMCID: PMC9287541 DOI: 10.1038/s41598-022-16360-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 07/08/2022] [Indexed: 11/30/2022] Open
Abstract
Despite universal vaccination of newborns, the prevalence of chronic hepatitis virus B (HBV) infection and the associated disease burden remain high among adults in China. We investigated risk factors for chronic HBV infection in a community-based study of 512,726 individuals aged 30-79 years recruited from ten diverse areas during 2004-2008. Multivariable logistic regression was used to estimate odds ratios (ORs) of hepatitis B surface antigen (HBsAg) positivity recorded at baseline by sociodemographic and lifestyle factors, and medical history. In a random subset (n = 69,898) we further assessed the association of 18 single nucleotide polymorphisms (SNPs) previously shown to be associated with HBsAg positivity and development of chronic liver disease (CLD) (1600 cases). Several factors showed strong associations with HBsAg positivity, particularly younger age (< 40 vs. ≥ 60 years: OR 1.48, 95% CI 1.32-1.66), male sex (1.40, 1.34-1.46) and urban residency (1.55, 1.47-1.62). Of the 18 SNPs selected, 17 were associated with HBsAg positivity, and 14 with CLD, with SNPs near HLA-DPB1 were most strongly associated with both outcomes. In Chinese adults a range of genetic and non-genetic factors were associated with chronic HBV infection and CLD, which can inform targeted screening to help prevent disease progression.
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Affiliation(s)
- Elizabeth Hamilton
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, BDI Building, Old Road Campus, University of Oxford, Oxford, OX3 7LF, UK
| | - Ling Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, BDI Building, Old Road Campus, University of Oxford, Oxford, OX3 7LF, UK.
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | | | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Yiping Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, BDI Building, Old Road Campus, University of Oxford, Oxford, OX3 7LF, UK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | | | - Neil Wright
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, BDI Building, Old Road Campus, University of Oxford, Oxford, OX3 7LF, UK
| | - Kuang Lin
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, BDI Building, Old Road Campus, University of Oxford, Oxford, OX3 7LF, UK
| | - Robin Walters
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, BDI Building, Old Road Campus, University of Oxford, Oxford, OX3 7LF, UK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Christiana Kartsonaki
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, BDI Building, Old Road Campus, University of Oxford, Oxford, OX3 7LF, UK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yingcai Yang
- NCDs Prevention and Control Department, Shinan CDC, Qingdao, Shandong, China
| | - Sushila Burgess
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, BDI Building, Old Road Campus, University of Oxford, Oxford, OX3 7LF, UK
| | - Sam Sansome
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, BDI Building, Old Road Campus, University of Oxford, Oxford, OX3 7LF, UK
| | - Liming Li
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, BDI Building, Old Road Campus, University of Oxford, Oxford, OX3 7LF, UK
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, China
| | - Iona Y Millwood
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, BDI Building, Old Road Campus, University of Oxford, Oxford, OX3 7LF, UK.
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, BDI Building, Old Road Campus, University of Oxford, Oxford, OX3 7LF, UK
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12
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Ashouri S, Khor SS, Hitomi Y, Sawai H, Nishida N, Sugiyama M, Kawai Y, Posuwan N, Tangkijvanich P, Komolmit P, Tsuiji M, Shotelersuk V, Poovorawan Y, Mizokami M, Tokunaga K. Genome-Wide Association Study for Chronic Hepatitis B Infection in the Thai Population. Front Genet 2022; 13:887121. [PMID: 35769989 PMCID: PMC9234442 DOI: 10.3389/fgene.2022.887121] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 05/16/2022] [Indexed: 11/19/2022] Open
Abstract
To identify novel host genetic variants that predispose to hepatitis B virus (HBV) persistence, we performed the first genome-wide association study in the Thai population involving 318 cases of chronic hepatitis B and 309 healthy controls after quality control measures. We detected the genome-wide significant association of the HLA class II region (HLA-DPA1/DPB1, rs7770370, p-value = 7.71 × 10−10, OR = 0.49) with HBV chronicity. Subsequent HLA allele imputation revealed HLA-DPA1*01:03 (Pc = 1.21 × 10−6, OR = 0.53), HLA-DPB1*02:01 (Pc = 2.17 × 10−3, OR = 0.50), and HLA-DQB1*06:09 (Pc = 2.17 × 10−2, OR = 0.07) as protective alleles, and HLA-DPA1*02:02 (Pc = 6.32 × 10−5, OR = 1.63), HLA-DPB1*05:01 (Pc = 1.13 × 10−4, OR = 1.72), HLA-DPB1*13:01 (Pc = 4.68 × 10−2, OR = 1.60), and HLA-DQB1*03:03 (Pc = 1.11 × 10−3, OR = 1.84) as risk alleles for HBV persistence. We also detected suggestive associations in the PLSCR1 (rs35766154), PDLIM5 (rs62321986), SGPL1 (rs144998273), and MGST1 (rs1828682) loci. Among single-nucleotide polymorphisms in the PLSCR1 locus, rs1061307 was identified as the primary functional variant by in silico/in vitro functional analysis. In addition to replicating the association of the HLA class II region, we detected novel candidate loci that provide new insights into the pathophysiology of chronic hepatitis B.
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Affiliation(s)
- Saeideh Ashouri
- Genome Medical Science Project, National Center for Global Health and Medicine, Toyama, Tokyo,Japan
- Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- *Correspondence: Saeideh Ashouri, ; Katsushi Tokunaga,
| | - Seik-Soon Khor
- Genome Medical Science Project, National Center for Global Health and Medicine, Toyama, Tokyo,Japan
- Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yuki Hitomi
- Department of Microbiology, Hoshi University School of Pharmacy and Pharmaceutical Sciences, Tokyo, Japan
| | - Hiromi Sawai
- Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Nao Nishida
- Genome Medical Science Project, National Center for Global Health and Medicine, Ichikawa, Chiba, Japan
| | - Masaya Sugiyama
- Genome Medical Science Project, National Center for Global Health and Medicine, Ichikawa, Chiba, Japan
| | - Yosuke Kawai
- Genome Medical Science Project, National Center for Global Health and Medicine, Toyama, Tokyo,Japan
- Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Nawarat Posuwan
- Chulabhorn International College of Medicine, Thammasat University, Rangsit Campus, Pathum Thani, Thailand
- Center of Excellence in Clinical Virology, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Pisit Tangkijvanich
- Center of Excellence in Hepatitis and Liver Cancer, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Piyawat Komolmit
- Center of Excellence in Liver Diseases, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
- Liver Fibrosis and Cirrhosis Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Makoto Tsuiji
- Department of Microbiology, Hoshi University School of Pharmacy and Pharmaceutical Sciences, Tokyo, Japan
| | - Vorasuk Shotelersuk
- Department of Pediatrics, Center of Excellence for Medical Genomics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Yong Poovorawan
- Center of Excellence in Clinical Virology, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Masashi Mizokami
- Genome Medical Science Project, National Center for Global Health and Medicine, Ichikawa, Chiba, Japan
| | - Katsushi Tokunaga
- Genome Medical Science Project, National Center for Global Health and Medicine, Toyama, Tokyo,Japan
- Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- *Correspondence: Saeideh Ashouri, ; Katsushi Tokunaga,
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13
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Zhu XB, Hou YQ, Ye XY, Zou YX, Xia XS, Yang S, Huang P, Yu RB. Identifying and Exploring the Candidate Susceptibility Genes of Cirrhosis Using the Multi-Tissue Transcriptome-Wide Association Study. Front Genet 2022; 13:878607. [PMID: 35646080 PMCID: PMC9136150 DOI: 10.3389/fgene.2022.878607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 03/30/2022] [Indexed: 12/03/2022] Open
Abstract
Objective: We identify and explore the candidate susceptibility genes for cirrhosis and their underlying biological mechanism. Methods: We downloaded the genome-wide association studies summary data of 901 cirrhosis cases and 451,363 controls and integrated them with reference models of five potential tissues from the Genotype-Tissue Expression (GTEx) Project, including whole blood, liver, pancreas, spleen, and thyroid, to identify genes whose expression is predicted to be associated with cirrhosis. Then, we downloaded gene expression data of individuals with hepatocellular carcinoma from TCGA database to conduct differential expression analysis to validate these identified genes and explored their possible role in driving cirrhosis via functional enrichment and gene set enrichment analysis (GSEA). Results: We identified 10 significant genes (SKIV2L, JPH4, UQCC2, RP11-91I8.3, MAU2, ERAP1, PUS3, ZNF677, ARHGAP40, and SHANK3) associated with cirrhosis at a Bonferroni-corrected threshold of p < 0.01, among which two (SKIV2L and JPH4) were identified in the liver and five (SKIV2L, JPH4, MAU2, SHANK3, and UQCC2) were validated by differential expression analysis at an FDR-corrected threshold of p < 0.01. The enrichment analysis showed that the degradation process of RNA, which is enriched by 58 genes, is significantly under-enriched in liver cancer tissues (p = 0.0268). Conclusion: We have identified several candidate genes for cirrhosis in multiple tissues and performed differential genetic analysis using the liver cancer database to verify the significant genes. We found that the genes SKIV2L and JPH4 identified in the liver are of particular concern. Finally, through enrichment analysis, we speculate that the process of mRNA transcription and RNA degradation may play a role in cirrhosis.
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Affiliation(s)
- Xiao-Bo Zhu
- The People’s Hospital of Danyang, Affiliated Danyang Hospital of Nantong University, Zhenjiang, China
| | - Yu-Qing Hou
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xiang-Yu Ye
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yi-Xin Zou
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xue-Shan Xia
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China
| | - Sheng Yang
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Peng Huang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- *Correspondence: Peng Huang, ; Rong-Bin Yu,
| | - Rong-Bin Yu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- *Correspondence: Peng Huang, ; Rong-Bin Yu,
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14
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Shen T, Ni T, Chen J, Chen H, Ma X, Cao G, Wu T, Xie H, Zhou B, Wei G, Saiyin H, Shen S, Yu P, Xiao Q, Liu H, Gao Y, Long X, Yin J, Guo Y, Wu J, Wei GH, Hou J, Jiang DK. An enhancer variant at 16q22.1 predisposes to hepatocellular carcinoma via regulating PRMT7 expression. Nat Commun 2022; 13:1232. [PMID: 35264579 PMCID: PMC8907293 DOI: 10.1038/s41467-022-28861-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 02/16/2022] [Indexed: 12/24/2022] Open
Abstract
Most cancer causal variants are found in gene regulatory elements, e.g., enhancers. However, enhancer variants predisposing to hepatocellular carcinoma (HCC) remain unreported. Here we conduct a genome-wide survey of HCC-susceptible enhancer variants through a three-stage association study in 11,958 individuals and identify rs73613962 (T > G) within the intronic region of PRMT7 at 16q22.1 as a susceptibility locus of HCC (OR = 1.41, P = 6.02 × 10-10). An enhancer dual-luciferase assay indicates that the rs73613962-harboring region has allele-specific enhancer activity. CRISPR-Cas9/dCas9 experiments further support the enhancer activity of this region to regulate PRMT7 expression. Mechanistically, transcription factor HNF4A binds to this enhancer region, with preference to the risk allele G, to promote PRMT7 expression. PRMT7 upregulation contributes to in vitro, in vivo, and clinical HCC-associated phenotypes, possibly by affecting the p53 signaling pathway. This concept of HCC pathogenesis may open a promising window for HCC prevention/treatment.
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Affiliation(s)
- Ting Shen
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China.,School of Life Sciences, Central South University, 510006, Changsha, China
| | - Ting Ni
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Jiaxuan Chen
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - Haitao Chen
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China.,School of Public Health (Shenzhen), Sun Yat-sen University, 528406, Shenzhen, China
| | - Xiaopin Ma
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Guangwen Cao
- Department of Epidemiology, Naval Medical University, 200433, Shanghai, China
| | - Tianzhi Wu
- Institute of Bioinformatics, School of Basic Medical Science, Southern Medical University, 510515, Guangzhou, China
| | - Haisheng Xie
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - Bin Zhou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - Gang Wei
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Hexige Saiyin
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Suqin Shen
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Peng Yu
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Qianyi Xiao
- School of Public Health, Fudan University, 200032, Shanghai, China
| | - Hui Liu
- School of Basic Medical Sciences; The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's hospital, Guangzhou Medical University, 510182, Guangzhou, China
| | - Yuzheng Gao
- Department of Forensic Medicine, Medical College of Soochow University, 215123, Suzhou, Jiangsu Province, China
| | - Xidai Long
- Department of Pathology, Youjiang Medical College for Nationalities, 533000, Baise, Guangxi Province, China
| | - Jianhua Yin
- Department of Epidemiology, Naval Medical University, 200433, Shanghai, China
| | - Yanfang Guo
- Institute of Bioinformatics, School of Basic Medical Science, Southern Medical University, 510515, Guangzhou, China
| | - Jiaxue Wu
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Human Phenome Institute, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Gong-Hong Wei
- Biocenter Oulu, Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90014, Oulu, Finland.,School of Basic Medical Sciences, Fudan University, 200032, Shanghai, China
| | - Jinlin Hou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - De-Ke Jiang
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China.
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Mine KL, de Marco R, Raimundo TRF, Ernesto JV, Medina-Pestana JO, Tedesco-Silva H, Gerbase-DeLima M. High soluble HLA-DQB2 levels in posttransplant serum are associated with kidney graft dysfunction. Int J Immunogenet 2022; 49:63-69. [PMID: 35083872 DOI: 10.1111/iji.12569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Revised: 12/20/2021] [Accepted: 01/08/2022] [Indexed: 11/27/2022]
Abstract
HLA-DQB2 is a gene of limited polymorphism, with unknown function that presents at least two transcript variants: v1, which encodes the full-length beta-chain, and v2, which lacks exon 4 and could give rise to a soluble protein. We previously showed a strong correlation between high v2 expression in preimplantation biopsies (PIB) of kidneys from young (18- to 49-year olds) but not from old, deceased donors and 1-year posttransplant low (estimated glomerular filtration rate < 45 ml/min/1.73 m2 ) graft function (GF). In this study, we aimed to investigate the impact of posttransplant soluble HLA-DQB2 (sDQB2) serum levels, v1 expression in PIB, and recipient HLA-DQB2 rs7453920 A/G polymorphism on GF. sDQB2 was evaluated by enzyme-linked immunosorbent assay in sera from 114 recipients, collected at least 1 year (median 2.1 years) after transplantation. Higher sDQB2 levels were observed in recipients of kidneys from young, but not from old, donors that had a ≥30% decline in GF within 1 year after blood collection for sDQB2 determination. Among the 15 recipients of kidneys from young donors with sDQB2 ≥ 1.52 ng/ml, 40% presented a ≥30% decline in GF, whereas this occurred in none of the 43 recipients with lower sDQB2 levels (p = 0.007; OR: 36.5). Expression of HLA-DQB2 variant 1, measured by reverse transcription-polymerase chain reaction (RT-PCR) in 92 PIB from young or old donors, did not significantly differ between transplants with high or low 4-year GF. HLA-DQB2 rs7453920 single nucleotide polymorphism (SNP) frequencies did not significantly differ between recipients with low or high 4-year GF. We conclude that HLA-DQB2 variant 1 expression in PIB and recipient rs7453920 SNP polymorphism are not associated with graft outcome. On the other hand, the association, in transplants of kidneys from young donors, between high posttransplant serum sDQB2 levels and decline in GF is a very interesting finding that deserves a validation study in a larger cohort.
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Affiliation(s)
- Karina L Mine
- Instituto de Imunogenética, Associação Fundo de Incentivo à Pesquisa, São Paulo, Brazil
| | - Renato de Marco
- Instituto de Imunogenética, Associação Fundo de Incentivo à Pesquisa, São Paulo, Brazil
| | - Tamiris R F Raimundo
- Instituto de Imunogenética, Associação Fundo de Incentivo à Pesquisa, São Paulo, Brazil
| | - Julia V Ernesto
- Instituto de Imunogenética, Associação Fundo de Incentivo à Pesquisa, São Paulo, Brazil
| | - José O Medina-Pestana
- Nephrology Division, Hospital do Rim, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Hélio Tedesco-Silva
- Nephrology Division, Hospital do Rim, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Maria Gerbase-DeLima
- Instituto de Imunogenética, Associação Fundo de Incentivo à Pesquisa, São Paulo, Brazil
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16
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Hepatitis B Virus Infection in Vaccinated Children and Adolescents with HBsAg-positive Parents: Is Routine Vaccination Sufficient? HEALTH SCOPE 2022. [DOI: 10.5812/jhealthscope.120505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: Hepatitis B virus (HBV) is a severe public health problem in Iran. This study was conducted to investigate the intrafamilial transmission of HBV in vaccinated children whose one or both parents were positive for hepatitis B surface antigen (HBsAg). Methods: In a study with retrospective cohort design, 110 exposed cases with HBsAg-positive parent(s) were compared with 110 unexposed controls of the same sex and age groups. The participants were directly asked about demographic characteristics, medical history, and vaccinations. Blood samples were collected and analyzed for HBV infection markers using the ELIZA method. Results: Overall, 1.8% HBsAg (P = 0.15) and 13.6% hepatitis B core antibody (HBcAb) (P < 0.0001) positivity rates were detected in the exposed group. The hepatitis B surface antibody titer (HBsAb) showed that 34.5% of cases and 56.3% of controls had HBsAb levels > 10 IU/L. There was a significant difference in the protective HBsAb level between the two groups (P < 0.0001). There were significant associations between HBsAb level and gender in the exposed group and decreased HBsAb levels and age. Conclusions: The high rate of positive HBcAb and HBsAg and decreasing HBsAb levels with age in this study indicate that routine childhood vaccination programs are inadequate in preventing HBV transmission and vaccine routes changing or further booster vaccination is essential. Effective case finding in vaccinated children with HBsAg-positive parents, intradermal vaccination, and hepatitis B immunoglobulin in newborns with HBsAg-positive fathers are suggested.
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Li J, Chen H, Chen J, Zhou B, Hou J, Jiang DK. A Missense Variant in Granulysin is Associated with the Efficacy of Pegylated-Interferon-Alpha Therapy in Chinese Patients with HBeAg-Positive Chronic Hepatitis B. Pharmgenomics Pers Med 2021; 14:1505-1515. [PMID: 34848996 PMCID: PMC8627316 DOI: 10.2147/pgpm.s337962] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 11/03/2021] [Indexed: 11/23/2022] Open
Abstract
Purpose Granulysin (GNLY) is a cytotoxic granule that has been reported to have various antimicrobial activities. We evaluated the association between a missense variant in GNLY (rs11127) and treatment efficacy of pegylated interferon-alpha (PegIFNα) or nucleos(t)ide analogs (NUCs) in patients with chronic hepatitis B (CHB). Patients and Methods We included a total of 1823 patients with hepatitis B e antigen (HBeAg)-positive CHB (954 patients treated with PegIFNα and 869 patients treated with NUCs) in four Phase IV multicenter randomized controlled trials. The association of the GNLY rs11127 genotype with the combined response (CR), defined as HBeAg seroconversion and hepatitis B virus (HBV) DNA level <2000 IU/mL was evaluated. A polygenic score (PGS) was constructed to evaluate the cumulative effect of multiple single-nucleotide polymorphisms (SNPs), including rs11127 and several other SNPs, STAT4 rs7574865, CFB rs12614, and CD55 rs28371597, which were reported to be associated with CR. Results GNLY rs11127 was significantly associated with CR in patients treated with PegIFNα. The CR rate in patients with the rs11127 CC genotype was higher than that with the CT or TT genotype (40.98% vs 30.34% or 27.09%, P = 0.003). Furthermore, a PGS integrating GNLY rs11127 and three other SNPs was significantly associated with CR in PegIFNα-treated patients (P < 0.001). However, no significant correlation was found between GNLY rs11127 and CR in NUCs-treated patients. Conclusion GNLY rs11127 is an independent biomarker for predicting the response to PegIFNα therapy in HBeAg-positive CHB patients. Furthermore, the PGS, including GNLY rs11127, provides new insights for individualized treatment in clinical practice.
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Affiliation(s)
- Jing Li
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Haitao Chen
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.,School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China
| | - Jiaxuan Chen
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Bin Zhou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Jinlin Hou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - De-Ke Jiang
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
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18
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Douillard V, Castelli EC, Mack SJ, Hollenbach JA, Gourraud PA, Vince N, Limou S. Current HLA Investigations on SARS-CoV-2 and Perspectives. Front Genet 2021; 12:774922. [PMID: 34912378 PMCID: PMC8667766 DOI: 10.3389/fgene.2021.774922] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 11/08/2021] [Indexed: 01/11/2023] Open
Abstract
The rapid, global spread of the SARS-CoV-2 virus during the current pandemic has triggered numerous efforts in clinical and research settings to better understand the host genetics' interactions and the severity of COVID-19. Due to the established major role played by MHC/HLA polymorphism in infectious disease course and susceptibility, immunologists and geneticists have teamed up to investigate its contribution to the SARS-CoV-2 infection and COVID-19 progression. A major goal of the Covid-19|HLA & Immunogenetics Consortium is to support and unify these efforts. Here, we present a review of HLA immunogenomics studies in the SARS-CoV-2 pandemic and reflect on the role of various HLA data, their limitation and future perspectives.
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Affiliation(s)
- Venceslas Douillard
- Université de Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes, France
| | | | - Steven J. Mack
- Division of Allergy, Immunology and Bone Marrow Transplantation, Department of Pediatrics, School of Medicine, University of California, San Francisco, CA, United States
| | - Jill A. Hollenbach
- Department of Neurology, University of California, San Francisco and Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, United States
| | - Pierre-Antoine Gourraud
- Université de Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes, France
| | - Nicolas Vince
- Université de Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes, France
| | - Sophie Limou
- Université de Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes, France
- Ecole Centrale de Nantes, Department of Computer Sciences and Mathematics in Biology, Nantes, France
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Potential lncRNA Biomarkers for HBV-Related Hepatocellular Carcinoma Diagnosis Revealed by Analysis on Coexpression Network. BIOMED RESEARCH INTERNATIONAL 2021; 2021:9972011. [PMID: 34692847 PMCID: PMC8536424 DOI: 10.1155/2021/9972011] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 08/31/2021] [Indexed: 12/24/2022]
Abstract
Background Increasing evidence demonstrated that long noncoding RNA (lncRNA) could affect inflammatory tumor immune microenvironment by modulating gene expression and could be used as a biomarker for HBC-related hepatocellular carcinoma (HCC) but still needs further research. The aim of the present study was to determine an lncRNA signature for the diagnosis of HBV-related HCC. Methods HBV-related HCC expression profiles (GSE55092, GSE19665, and GSE84402) were abstracted from the GEO (Gene Expression Omnibus) data resource, and R package limma and RobustRankAggreg were employed to identify common differentially expressed genes (DEGs). Using machine learning, optimal diagnostic lncRNA molecular markers for HBV-related HCC were identified. The expression of candidate lncRNAs was cross-validated in GSE121248, and an ROC (receiver operating characteristic) curve of lncRNA biomarkers was carried out. Additionally, a coexpression network and functional annotation was built, after which a PPI (protein-protein interaction) network along with module analysis were conducted with the Cytoscape open source software. Result A total of 38 DElncRNAs and 543 DEmRNAs were identified with a fold change larger than 2.0 and a P value < 0.05. By machine learning, AL356056.2, AL445524.1, TRIM52-AS1, AC093642.1, EHMT2-AS1, AC003991.1, AC008040.1, LINC00844, and LINC01018 were screened out as optional diagnostic lncRNA biosignatures for HBV-related HCC. The AUC (areas under the curve) of the SVM (support vector machine) model and random forest model were 0.957 and 0.904, respectively, and the specificity and sensitivity were 95.7 and 100% and 94.3 and 86.5%, respectively. The results of functional enrichment analysis showed that the integrated coexpressed DEmRNAs shared common cascades in the p53 signaling pathway, retinol metabolism, PI3K-Akt signaling cascade, and chemical carcinogenesis. The integrated DEmRNA PPI network complex was found to be comprised of 87 nodes, and two vital modules with a high degree were selected with the MCODE app. Conclusion The present study identified nine potential diagnostic biomarkers for HBV-related HCC, all of which could potentially modulated gene expression related to inflammatory conditions in the tumor immune microenvironment. The functional annotation of the target DEmRNAs yielded novel evidence in evaluating the precise functions of lncRNA in HBV-related HCC.
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Hsieh AR, Fann CSJ, Lin HC, Tai J, Hsieh SY, Tai DI. Hepatitis B virus persistent infection-related single nucleotide polymorphisms in HLA regions are associated with viral load in hepatoma families. World J Gastroenterol 2021; 27:6262-6276. [PMID: 34712031 PMCID: PMC8515798 DOI: 10.3748/wjg.v27.i37.6262] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 07/06/2021] [Accepted: 09/01/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Genome-wide association studies from Asia indicate that HLA-DP and HLA-DQ loci are important in persistent hepatitis B virus (HBV) infections. One of the key elements for HBV-related carcinogenesis is persistent viral replication and inflammation.
AIM To examine genetic and nongenetic factors with persistent HBV infection and viral load in families with hepatocellular carcinoma (HCC).
METHODS The HCC families included 301 hepatitis B surface antigen (HBsAg) carriers and 424 noncarriers born before the nationwide vaccination program was initiated in 1984. Five HBV-related single nucleotide polymorphisms (SNPs) — rs477515, rs9272105, rs9276370, rs7756516, and rs9277535 — were genotyped. Factors associated with persistent HBV infection and viral load were analyzed by a generalized estimating equation.
RESULTS In the first-stage persistent HBV study, all SNPs except rs9272105 were associated with persistent infection. A significantly higher area under the reciprocal operating characteristic curve for nongenetic factors vs genetic factors (P < 0.001) suggests that the former play a major role in persistent HBV infection. In the second-stage viral load study, we added 8 HBsAg carriers born after 1984. The 309 HBsAg carriers were divided into low (n = 162) and high viral load (n = 147) groups with an HBV DNA cutoff of 105 cps/mL. Sex, relationship to the index case, rs477515, rs9272105, and rs7756516 were associated with viral load. Based on the receiver operating characteristic curve analysis, genetic and nongenetic factors affected viral load equally in the HCC family cohort (P = 0.3117).
CONCLUSION In these east Asian adults, the mechanism of persistent HBV infection-related SNPs was a prolonged viral replication phase.
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Affiliation(s)
- Ai-Ru Hsieh
- Department of Statistics, Tamkang University, New Taipei City 25137, Taiwan
| | - Cathy S J Fann
- Institute of Biomedical Sciences, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - Hung-Chun Lin
- Division of Hepatology, Department of Gastroenterology and Hepatology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan 33305, Taiwan
| | - Jennifer Tai
- Division of Hepatology, Department of Gastroenterology and Hepatology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan 33305, Taiwan
| | - Sen-Yung Hsieh
- Division of Hepatology, Department of Gastroenterology and Hepatology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan 33305, Taiwan
| | - Dar-In Tai
- Division of Hepatology, Department of Gastroenterology and Hepatology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan 33305, Taiwan
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21
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Li L, Huang L, Yang A, Feng X, Mo Z, Zhang H, Yang X. Causal Relationship Between Complement C3, C4, and Nonalcoholic Fatty Liver Disease: Bidirectional Mendelian Randomization Analysis. PHENOMICS (CHAM, SWITZERLAND) 2021; 1:211-221. [PMID: 36939807 PMCID: PMC9590569 DOI: 10.1007/s43657-021-00023-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Revised: 08/07/2021] [Accepted: 08/18/2021] [Indexed: 02/07/2023]
Abstract
The complement system is activated during the development of nonalcoholic fatty liver disease (NAFLD). We aimed to evaluate the causal relationship between serum C3 and C4 levels and NAFLD. After exclusion criteria, a total of 1600 Chinese Han men from the Fangchenggang Area Male Health and Examination Survey cohort were enrolled in cross-sectional analysis, while 572 participants were included in the longitudinal analysis (average follow-up of 4 years). We performed a bidirectional Mendelian randomization (MR) analysis using two C3-related, eight C4-related and three NAFLD-related gene loci as instrumental variables to evaluate the causal associations between C3, C4, and NAFLD risk in cross-sectional analysis. Per SD increase in C3 levels was significantly associated with higher risk of NAFLD (OR = 1.65, 95% CI 1.40, 1.94) in cross-sectional analysis while C4 was not (OR = 1.04, 95% CI 0.89, 1.21). Longitudinal analysis produced similar results (HRC3 = 1.20, 95% CI 1.02, 1.42; HRC4 = 1.10, 95% CI 0.94, 1.28). In MR analysis, there were no causal relationships for genetically determined C3 levels and NAFLD risk using unweighted or weighted GRS_C3 (βE_unweighted = -0.019, 95% CI -0.019, -0.019, p = 0.202; βE_weighted = -0.019, 95% CI -0.019, -0.019, p = 0.322). Conversely, serum C3 levels were significantly effected by the genetically determined NAFLD (βE_unweighted = 0.020, 95% CI 0.020, 0.020, p = 0.004; βE_weighted = 0.021, 95% CI 0.020, 0.021, p = 0.004). Neither the direction from C4 to NAFLD nor the one from NAFLD to C4 showed significant association. Our results support that the change in serum C3 levels but not C4 levels might be caused by NAFLD in Chinese Han men. Supplementary Information The online version contains supplementary material available at 10.1007/s43657-021-00023-0.
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Affiliation(s)
- Longman Li
- grid.256607.00000 0004 1798 2653Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
- Nanhu Zhuxi Community Healthcare Center, Qingxiu District, Nanning, 530021 Guangxi China
- grid.412594.fDepartment of Urology, Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021 Guangxi China
| | - Lulu Huang
- grid.256607.00000 0004 1798 2653Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
| | - Aimin Yang
- grid.194645.b0000000121742757School of Public Health, The University of Hong Kong, Hong Kong SAR, 999077 China
| | - Xiuming Feng
- grid.256607.00000 0004 1798 2653Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.256607.00000 0004 1798 2653Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, 530021 Guangxi China
| | - Zengnan Mo
- grid.256607.00000 0004 1798 2653Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.412594.fDepartment of Urology, Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021 Guangxi China
| | - Haiying Zhang
- grid.256607.00000 0004 1798 2653Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.256607.00000 0004 1798 2653Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, 530021 Guangxi China
| | - Xiaobo Yang
- grid.256607.00000 0004 1798 2653Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.256607.00000 0004 1798 2653Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.440719.f0000 0004 1800 187XDepartment of Public Health, School of Medicine, Guangxi University of Science and Technology, Liuzhou, 545006 Guangxi China
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22
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Mai H, Chen J, Chen H, Liu Z, Huang G, Wang J, Xiao Q, Ren W, Zhou B, Hou J, Jiang D. Fine Mapping of the MHC Region Identifies Novel Variants Associated with HBV-Related Hepatocellular Carcinoma in Han Chinese. J Hepatocell Carcinoma 2021; 8:951-961. [PMID: 34430511 PMCID: PMC8378933 DOI: 10.2147/jhc.s321919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 07/29/2021] [Indexed: 12/24/2022] Open
Abstract
Introduction Genome-wide association studies identified susceptibility loci in the major histocompatibility complex region for hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). However, the causal variants underlying HBV-related HCC pathogenesis remain elusive. Methods With a total of 1,161 HBV-related HCC cases and 1,353 chronic HBV carriers without HCC, we imputed human leukocyte antigen (HLA) variants based on a Chinese HLA reference panel and evaluated the associations of these variants with the risk of HBV-related HCC. Conditional analyses were used to identify independent signals associated with the risk of HBV-related HCC (P false-discovery rate (FDR) <0.20). A total of 14,930 variants within the MHC region were genotyped or imputed. Results We identified two variants, rs114401688 (P = 1.05 × 10−6, PFDR = 2.43 × 10−3) and rs115126566 (P = 9.04 × 10−5, PFDR = 1.77 × 10−1), that are independently associated with the risk of HBV-related HCC. Single nucleotide polymorphism (SNP) rs114401688 is in linkage disequilibrium with a previously reported SNP rs9275319. In the current study, we found that its association with HCC could be explained by HLA-DQB1*04 and HLA-DRB1*04. SNP rs115126566 is a novel risk variant and may function by regulating transcriptions of HLA-DPA1/DPB1 through enhancer-mediated mechanisms. HLA zygosity analysis showed that homozygosity at HLA-DQB1 gene is suggestively associated with a higher risk of HCC (P = 0.10) and the risk was more pronounced in the older age group (age ≥50, P = 0.03). Discussion Our findings further the understanding of the genetic basis for HBV-related HCC predisposition in chronic HBV carriers.
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Affiliation(s)
- Haoming Mai
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Jiaxuan Chen
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Haitao Chen
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China.,School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, 518107, People's Republic of China
| | - Zhiwei Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Guanlin Huang
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Jialin Wang
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Qianyi Xiao
- School of Public Health, Fudan University, Shanghai, 200032, People's Republic of China
| | - Weihua Ren
- Central Laboratory, First Affiliated Hospital, Henan University of Science and Technology, Luoyang, Henan Province, 471009, People's Republic of China
| | - Bin Zhou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Jinlin Hou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Deke Jiang
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Guangdong Institute of Liver Diseases, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
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He C, Li Y, Zhang R, Chen J, Feng X, Duan Y. Low CFB expression is independently associated with poor overall and disease-free survival in patients with lung adenocarcinoma. Oncol Lett 2021; 21:478. [PMID: 33968194 PMCID: PMC8100962 DOI: 10.3892/ol.2021.12739] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 03/16/2021] [Indexed: 12/30/2022] Open
Abstract
Complement factor B (CFB) serves a pivotal role in the alternative signaling pathway of the complement system and exerts a key role in the labelling of target particles, resulting from effective clearance of the target. The present study aimed to investigate the association between low expression levels of CFB and the clinical features and survival status of patients with lung adenocarcinoma (LUAD). Patient data were based on RNA-sequencing and clinical data from The Cancer Genome Atlas database. All patients were divided into two groups based on the median expression of CFB. Kaplan-Meier curve and univariate Cox regression analyses were used to investigate the association between CFB and survival status. Gene set enrichment analysis was used to examine the effects of CFB expression on signaling pathway impairment. Furthermore, reverse transcription-quantitative PCR (RT-qPCR) and western blotting were used to verify the relative expression levels of CFB in LUAD tissues. The data revealed that residual tumor classification, Karnofsky performance score and cancer stage were associated with overall survival, and that Karnofsky performance score and stage were associated with disease-free survival. The results demonstrated that high expression levels of CFB were associated with increased patient overall and disease-free survival according to both continuous and categorical models. The results of multivariate analysis identified that high expression levels of CFB were associated with increased overall and disease-free survival according to both the continuous model [hazard ratio (HR), 0.48; 95% confidence interval (95% CI), 0.25-0.93; P=0.029 for overall survival; HR, 0.29; 95% CI, 0.15-0.59; P=0.001 for disease-free survival] and the categorical model (HR, 0.46; 95% CI, 0.22-0.93; P=0.031 for overall survival; HR, 0.25; 95% CI, 0.12-0.55; P=0.001 for disease-free survival) after adjusting for corresponding covariates (residual tumour classification, Karnofsky performance score and stage). Furthermore, the results of both RT-qPCR and western blotting indicated that the relative mRNA and protein expression levels of CFB in lung tumor tissues were downregulated compared with those in adjacent non-tumor tissues. Collectively, the present results suggested that CFB expression was an independent predictor of overall and disease-free survival in patients with LUAD.
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Affiliation(s)
- Chenglu He
- Yunnan Key Laboratory of Laboratory Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China
- Yunnan Institute of Laboratory Diagnosis, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China
- Department of Clinical Laboratory, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China
| | - Ya Li
- Yunnan Key Laboratory of Laboratory Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China
- Yunnan Institute of Laboratory Diagnosis, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China
- Department of Clinical Laboratory, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China
| | - Ruixian Zhang
- Department of Environment-Related Health, Yunnan Center for Disease Control and Prevention, Kunming, Yunnan 650034, P.R. China
| | - Jing Chen
- Health Management Center, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China
| | - Xingxing Feng
- Department of Clinical Laboratory, Kunming Children's Hospital, Kunming, Yunnan 650228, P.R. China
| | - Yong Duan
- Yunnan Key Laboratory of Laboratory Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China
- Yunnan Institute of Laboratory Diagnosis, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China
- Department of Clinical Laboratory, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China
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24
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Transcriptome Classification Reveals Molecular Subgroups in Patients with Hepatitis B Virus. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2021; 2021:5543747. [PMID: 33859718 PMCID: PMC8028738 DOI: 10.1155/2021/5543747] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 02/27/2021] [Accepted: 03/09/2021] [Indexed: 12/28/2022]
Abstract
Hepatitis B virus (HBV) specifically infects hepatocytes, which can cause progressive liver fibrosis and a significantly increased risk of liver cancer. Multiple studies indicated host genetic, virological, and immunological factors could affect the HBV infection. However, the underlying mechanism involved in HBV infection remained unclear. Based on the analysis of gene expression data of 124 HBV patients (GEO accession: GSE84044), molecular subgroups of patients infected with hepatitis B virus were identified in this study, including C1, C2, and C3 groups. The age, fiber, degree of chemical and inflammation, and gene expression difference were also compared among the three sampling groups. Furthermore, the liver index was calculated using 93 liver-specific genes. The liver-specific gene expression in different molecular subgroups of HBV patients was thoroughly analyzed and then was compared with fibrosis and inflammation levels. Results showed that the C2 group was the youngest and the C3 group had the highest degree of fibrosis and inflammation. Enrichment analysis showed that metabolism-related pathways were mainly expressed in the C1 and C2 groups, and inflammation-related pathways and proteoglycans in cancer were highly expressed in the C1 and C3 groups. The liver index was higher in the C2 group than in the C1 and C3 groups, and it was the lowest in the C3 group. Macrophage M1/M2 and neutrophils were significantly different in the three groups. M1 was mainly abundant in the C3 group, and M2 and neutrophils were mainly abundant in the C2 group. This study provides novel information to understand the mechanisms of HBV infection in chronic hepatitis B (CHB) patients.
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25
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Seo JY, Shin JG, Youn BJ, Namgoong S, Cheong HS, Kim LH, Kim JO, Shin HD, Kim YJ. A non-synonymous variant rs12614 of complement factor B associated with risk of chronic hepatitis B in a Korean population. BMC MEDICAL GENETICS 2020; 21:241. [PMID: 33334325 PMCID: PMC7745368 DOI: 10.1186/s12881-020-01177-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 11/23/2020] [Indexed: 11/10/2022]
Abstract
Background Hepatitis B is known to cause several forms of liver diseases including chronic hepatitis B (CHB), and hepatocellular carcinoma. Previous genome-wide association study of CHB risk has demonstrated that rs12614 of complement factor B (CFB) was significantly associated with CHB risk. In this study, fine-mapping study of previously reported GWAS single nucleotide polymorphism (SNP; CFB rs12614) was performed to validate genetic effect of rs12614 on CHB susceptibility and identify possible additional causal variants around rs12614 in a Korean population. This association study was conducted in order to identify genetic effects of CFB single nucleotide polymorphisms (SNPs) and to identify additional independent CHB susceptible causal markers within a Korean population. Methods A total of 10 CFB genetic polymorphisms were selected and genotyped in 1716 study subjects comprised of 955 CHB patients and 761 population controls. Results A non-synonymous variant, rs12614 (Arg32Trp) in exon2 of CFB, had significant associations with risk of CHB (odds ratio = 0.43, P = 5.91 × 10− 10). Additional linkage disequilibrium and conditional analysis confirmed that rs12614 had independent genetic effect on CHB susceptibility with previously identified CHB markers. The genetic risk scores (GRSs) were calculated and the CHB patients had higher GRSs than the population controls. Moreover, OR was found to increase significantly with cumulative GRS. Conclusions rs12614 showed significant genetic effect on CHB risk within the Korean population. As such rs12614 may be used as a possible causal genetic variant for CHB susceptibility. Supplementary Information The online version contains supplementary material available at 10.1186/s12881-020-01177-w.
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Affiliation(s)
- Jung Yeon Seo
- Current address: Department of Core Technology, R&D Center, LG Household & Healthcare (LG H&H), Seoul, 07795, South Korea.,Department of Life Science, Sogang University, Seoul, 04107, Republic of Korea
| | - Joong-Gon Shin
- Current address: Department of Core Technology, R&D Center, LG Household & Healthcare (LG H&H), Seoul, 07795, South Korea.,Research Institute for Basic Science, Sogang University, Seoul, 04107, Republic of Korea
| | - Byeong Ju Youn
- Department of Life Science, Sogang University, Seoul, 04107, Republic of Korea
| | - Suhg Namgoong
- Department of Life Science, Sogang University, Seoul, 04107, Republic of Korea.,Department of Genetic Epidemiology, SNP Genetics Inc., Seoul, 04107, Republic of Korea
| | - Hyun Sub Cheong
- Department of Genetic Epidemiology, SNP Genetics Inc., Seoul, 04107, Republic of Korea
| | - Lyoung Hyo Kim
- Department of Genetic Epidemiology, SNP Genetics Inc., Seoul, 04107, Republic of Korea
| | - Ji On Kim
- Research Institute for Basic Science, Sogang University, Seoul, 04107, Republic of Korea
| | - Hyoung Doo Shin
- Department of Life Science, Sogang University, Seoul, 04107, Republic of Korea. .,Research Institute for Basic Science, Sogang University, Seoul, 04107, Republic of Korea. .,Department of Genetic Epidemiology, SNP Genetics Inc., Seoul, 04107, Republic of Korea.
| | - Yoon Jun Kim
- Department of Internal Medicine and Liver Research Institute, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
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26
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Xu J, Zhan Q, Fan Y, Yu Y, Zeng Z. Human genetic susceptibility to hepatitis B virus infection. INFECTION GENETICS AND EVOLUTION 2020; 87:104663. [PMID: 33278635 DOI: 10.1016/j.meegid.2020.104663] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 11/26/2020] [Accepted: 11/30/2020] [Indexed: 02/06/2023]
Abstract
Hepatitis B virus (HBV) infection is still a serious health threat worldwide. The outcomes of HBV infection consist of spontaneous HBV clearance and chronic HBV infection. Multiple factors contribute to the disparity of HBV infection outcomes, including host factors, viral factors and environmental factors. The present review comprehends the current researches mainly focusing on the relationships between genetic determinants, including single nucleotide polymorphisms (SNPs) and haplotypes, and susceptibility of HBV infection, namely chronic (persistent) HBV infection and HBV clearance. A number of determinants in the chromosomes, including mutations in human leukocyte antigens (HLAs), cytokines genes, toll-like receptors (TLRs), and other genes are related to the human susceptibility to HBV infection. Among the above variants, some of those in HLAs have been studied and replicated in multiple-ethnic populations and came to consistent conclusions, while some others are novel and need to be evaluated further.
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Affiliation(s)
- Jinghang Xu
- Department of Infectious Diseases, Peking University First Hospital, Peking University Health Science Center, Beijing 100034, China
| | - Qiao Zhan
- Department of Infectious Diseases, Peking University First Hospital, Peking University Health Science Center, Beijing 100034, China
| | - Yanan Fan
- Department of Infectious Diseases, Peking University First Hospital, Peking University Health Science Center, Beijing 100034, China
| | - Yanyan Yu
- Department of Infectious Diseases, Peking University First Hospital, Peking University Health Science Center, Beijing 100034, China.
| | - Zheng Zeng
- Department of Infectious Diseases, Peking University First Hospital, Peking University Health Science Center, Beijing 100034, China.
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27
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Gupta H, Chandratre K, Sinha S, Huang T, Wu X, Cui J, Zhang MQ, Wang SM. Highly diversified core promoters in the human genome and their effects on gene expression and disease predisposition. BMC Genomics 2020; 21:842. [PMID: 33256598 PMCID: PMC7706239 DOI: 10.1186/s12864-020-07222-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 11/09/2020] [Indexed: 12/14/2022] Open
Abstract
Background Core promoter controls transcription initiation. However, little is known for core promoter diversity in the human genome and its relationship with diseases. We hypothesized that as a functional important component in the genome, the core promoter in the human genome could be under evolutionary selection, as reflected by its highly diversification in order to adjust gene expression for better adaptation to the different environment. Results Applying the “Exome-based Variant Detection in Core-promoters” method, we analyzed human core-promoter diversity by using the 2682 exome data sets of 25 worldwide human populations sequenced by the 1000 Genome Project. Collectively, we identified 31,996 variants in the core promoter region (− 100 to + 100) of 12,509 human genes (https://dbhcpd.fhs.um.edu.mo). Analyzing the rich variation data identified highly ethnic-specific patterns of core promoter variation between different ethnic populations, the genes with highly variable core promoters, the motifs affected by the variants, and their involved functional pathways. eQTL test revealed that 12% of core promoter variants can significantly alter gene expression level. Comparison with GWAS data we located 163 variants as the GWAS identified traits associated with multiple diseases, half of these variants can alter gene expression. Conclusion Data from our study reals the highly diversified nature of core promoter in the human genome, and highlights that core promoter variation could play important roles not only in gene expression regulation but also in disease predisposition. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-020-07222-5.
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Affiliation(s)
- Hemant Gupta
- Cancer Centre and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau, SAR, China
| | - Khyati Chandratre
- Cancer Centre and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau, SAR, China
| | - Siddharth Sinha
- Cancer Centre and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau, SAR, China
| | - Teng Huang
- Cancer Centre and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau, SAR, China
| | - Xiaobing Wu
- Cancer Centre and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau, SAR, China
| | - Jian Cui
- Eppley Institute for Cancer Research, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Michael Q Zhang
- Department of Biological Sciences, Center for Systems Biology, University of Texas at Dallas, Richardson, TX, 75080, USA
| | - San Ming Wang
- Cancer Centre and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau, SAR, China.
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28
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Ning G, Zhen LM, Xu WX, Li XJ, Wu LN, Liu Y, Xie C, Peng L. Suppression of complement component 2 expression by hepatitis B virus contributes to the viral persistence in chronic hepatitis B patients. J Viral Hepat 2020; 27:1071-1081. [PMID: 32384193 DOI: 10.1111/jvh.13319] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 03/20/2020] [Accepted: 04/08/2020] [Indexed: 12/13/2022]
Abstract
Previously, we identified rare missense mutations of complement component 2 (C2) to be associated with chronic hepatitis B (CHB) by exome sequencing. However, up to now, little is known about the role of C2 in CHB. In the present study, we aimed to perform preliminary exploration about the underlying role of C2 in CHB. Serum samples from 113 CHB patients and 30 healthy controls, and liver biopsy samples from 5 CHB patients and 3 healthy controls were obtained from the Third Affiliated Hospital of Sun Yat-sen University between January 2018 and January 2020. HepG2.2.15 and HepG2-NTCP cells infected with HBV were used to examine the influence of HBV infection on C2 expression. IFN-treated HepG2.2.15 cells were used to assess the effect of IFN on C2 expression. C2-overexpressing or C2-silencing HepG2.2.15 cells were constructed to evaluate the effect of C2 on HBV infection. Western blot and RT-qPCR were used to measure C2 expression in biopsy samples. HBeAg and HBsAg in culture medium and C2 of serum samples were measured by ELISA. HBV-DNA was measured by RT-qPCR. GSE84044, GSE54747 and GSE27555 were downloaded from GEO. C2 expression in liver tissue and serum was significantly lower in CHB patients compared to healthy controls, and significantly higher C2 expression was found in CHB patients with lower ALT, AST, Scheuer grade and stages compared to CHB patients with higher ALT, AST, Scheuer grades and Scheuer stage. Besides, HBV infection could decrease C2 expression by increasing expression of Sp1 and reducing expression of HDAC4. Moreover, C2 could enhance the anti-virus effect of IFN on HepG2.2.15 cells and also inhibit HBV replication in HepG2.2.15 cells by inhibition of p38-MAPK signalling pathway. In conclusion, HBV may promote viral persistence in CHB patients by inhibiting C2 expression.
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Affiliation(s)
- Gang Ning
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Li-Min Zhen
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Wen-Xiong Xu
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Xue-Jun Li
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Li-Na Wu
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Ying Liu
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Chan Xie
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Liang Peng
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
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29
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HLA-B*39:01:01 is a novel risk factor for antithyroid drug-induced agranulocytosis in Japanese population. THE PHARMACOGENOMICS JOURNAL 2020; 21:94-101. [PMID: 32963330 DOI: 10.1038/s41397-020-00187-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 08/15/2020] [Accepted: 09/08/2020] [Indexed: 12/30/2022]
Abstract
Antithyroid drug (ATD) is a mainstay of Graves' disease (GD). About 0.1-0.5% of patients with GD treated with ATD exhibit ATD-induced agranulocytosis, which is characterized by severe reduction of circulating neutrophils. Immune-mediated responses have been proposed as a possible mechanism for the pathogenesis of ATD-induced agranulocytosis. Although it has been reported that the HLA class II allele (HLA-DRB1*08:03) was associated with ATD-induced agranulocytosis in multiple populations, the entire HLA region have not been explored in Japanese. Therefore, we performed HLA sequencing for 10 class I and 11 class II genes in 87 patients with ATD-induced agranulocytosis and 384 patients with GD who did not show ATD-induced agranulocytosis. By conducting case-control association studies at the HLA allele and haplotype levels, we replicated the association between HLA-DRB1*08:03:02 and ATD-induced agranulocytosis (P = 5.2 × 10-7, odds ratio = 2.80), and identified HLA-B*39:01:01 as an independent risk factor (P = 1.4 × 10-3, odds ratio = 3.35). To verify reproducibility of the novel association of HLA-B*39:01:01, we reanalyzed allele frequency data for HLA-B*39:01:01 from previous case-control association studies. The association of HLA-B*39:01:01 was significantly replicated in Chinese (P = 9.0 × 10-3), Taiwanese (P = 1.1 × 10-3), and European populations (P = 5.2 × 10-4). A meta-analysis combining results from the previous and current studies reinforced evidence of the association between HLA-B*39:01:01 and ATD-induced agranulocytosis (Pmeta = 1.2 × 10-9, pooled OR = 3.66, 95% CI; 2.41-5.57). The results of this study will provide a better understanding of the pathogenesis of ATD-induced agranulocytosis in the context of HLA-mediated hypersensitivity reactions.
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30
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Block P, Shinn B, Roth C, Needleman L, Rosato E, Hann HW. Vagaries of the Host Response in the Development of Hepatitis B-related Hepatocellular Carcinoma: A Case Series. CURRENT CANCER THERAPY REVIEWS 2020. [DOI: 10.2174/1573394716666200129121051] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
The hepatitis B virus (HBV) is one of the leading causes of hepatocellular carcinoma
(HCC) worldwide. In the endemic region, the infection is commonly spread through vertical
transmission in which mother and child possess genetically identical viral genotypes in the setting
of similar host genomes. Despite these genetic similarities, clinical outcomes from chronic hepatitis
B (CHB) can vary widely, ranging from lifelong asymptomatic infection to terminal HCC. Presented
here are the longitudinal observations over multiple decades of three family clusters, including
monozygotic twins with non-discordant HCC, that demonstrate the heterogeneity of
HBV-related outcomes. These findings emphasize the important need to untangle the role of genetic
and non-genetic host factors in the development of HBV-related HCC, as well as highlight
the novel research avenues that can clarify the contributions of such factors in HBV-related HCC.
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Affiliation(s)
- Peter Block
- Department of Medicine, Thomas Jefferson University Hospital, Philadelphia, PA 19107, United States
| | - Brianna Shinn
- Department of Medicine, Division of Gastroenterology and Hepatology, Thomas Jefferson University Hospital, Philadelphia, PA 19107, United States
| | - Christopher Roth
- Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA 19107, United States
| | - Laurence Needleman
- Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA 19107, United States
| | - Ernest Rosato
- Department of General Surgery, Thomas Jefferson University Hospital,, Philadelphia, PA 19107, United States
| | - Hie-Won Hann
- Division of Gastroenterology and Hepatology, Liver Disease Prevention Center, Philadelphia, PA 19107, United States
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31
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Orrù V, Steri M, Sidore C, Marongiu M, Serra V, Olla S, Sole G, Lai S, Dei M, Mulas A, Virdis F, Piras MG, Lobina M, Marongiu M, Pitzalis M, Deidda F, Loizedda A, Onano S, Zoledziewska M, Sawcer S, Devoto M, Gorospe M, Abecasis GR, Floris M, Pala M, Schlessinger D, Fiorillo E, Cucca F. Complex genetic signatures in immune cells underlie autoimmunity and inform therapy. Nat Genet 2020; 52:1036-1045. [PMID: 32929287 DOI: 10.1038/s41588-020-0684-4] [Citation(s) in RCA: 237] [Impact Index Per Article: 59.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 07/27/2020] [Indexed: 01/28/2023]
Abstract
We report on the influence of ~22 million variants on 731 immune cell traits in a cohort of 3,757 Sardinians. We detected 122 significant (P < 1.28 × 10-11) independent association signals for 459 cell traits at 70 loci (53 of them novel) identifying several molecules and mechanisms involved in cell regulation. Furthermore, 53 signals at 36 loci overlapped with previously reported disease-associated signals, predominantly for autoimmune disorders, highlighting intermediate phenotypes in pathogenesis. Collectively, our findings illustrate complex genetic regulation of immune cells with highly selective effects on autoimmune disease risk at the cell-subtype level. These results identify drug-targetable pathways informing the design of more specific treatments for autoimmune diseases.
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Affiliation(s)
- Valeria Orrù
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Maristella Steri
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Carlo Sidore
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Michele Marongiu
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Valentina Serra
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Stefania Olla
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Gabriella Sole
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Sandra Lai
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Mariano Dei
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Antonella Mulas
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Francesca Virdis
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Maria Grazia Piras
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Monia Lobina
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Mara Marongiu
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Maristella Pitzalis
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Francesca Deidda
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Annalisa Loizedda
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Stefano Onano
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy.,Dipartimento di Scienze Biomediche, Università degli Studi di Sassari, Sassari, Italy
| | - Magdalena Zoledziewska
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Stephen Sawcer
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Marcella Devoto
- Division of Genetics, The Children's Hospital of Philadelphia, and Department of Pediatrics, University of Pennsylvania, Philadelphia, PA, USA.,Dipartimento di Medicina Traslazionale e di Precisione, Sapienza Università di Roma, Rome, Italy
| | - Myriam Gorospe
- Laboratory of Genetics and Genomics, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Gonçalo R Abecasis
- Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Matteo Floris
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy.,Dipartimento di Scienze Biomediche, Università degli Studi di Sassari, Sassari, Italy
| | - Mauro Pala
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - David Schlessinger
- Laboratory of Genetics and Genomics, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Edoardo Fiorillo
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Cagliari, Italy. .,Dipartimento di Scienze Biomediche, Università degli Studi di Sassari, Sassari, Italy.
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32
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Han J, Chen C, Wang C, Qin N, Huang M, Ma Z, Zhu M, Dai J, Jiang Y, Ma H, Jin G, Shen H, Hu Z. Transcriptome-wide association study for persistent hepatitis B virus infection and related hepatocellular carcinoma. Liver Int 2020; 40:2117-2127. [PMID: 32574393 DOI: 10.1111/liv.14577] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2019] [Revised: 06/01/2020] [Accepted: 06/16/2020] [Indexed: 12/11/2022]
Abstract
Previous genome-wide association studies (GWAS) have identified multiple susceptible variants associated with persistent hepatitis B virus (HBV) infection. However, most of these variants are located in the noncoding regions, which make it difficult to determine the effective genes underlying these associations. We performed a two-stage study, in the first stage we integrated RNA sequencing data of liver tissues and high-density genotyping data from the Genotype-Tissue Expression (GTEx) project with our previous GWAS data to conduct a transcriptome-wide association study (TWAS) on HBV infection. Firstly, the cis-heritable genes were screened by a genetic relatedness matrix of genome-wide complex trait analysis (GCTA) from GTEx data. Then, the genetic expression of 2587 cis-heritable genes was predicted by restricted maximum likelihood (REML) of genome-wide efficient mixed-model association (GEMMA) in our GWAS data with 951 HBV carrier cases and 937 HBV cleared controls. Next, we investigated the associations between predictive expression levels and persistent HBV infection risk. Gene set enrichment analysis (GSEA) was applied to infer the function of the identified genes. To identify the causal single nucleotide polymorphisms (SNPs) of HBV infection risk, we conducted the expression quantitative trait loci (eQTL)-based stepwise logistic regression analysis in the regions around 1 Mb of these genes and validated the association between 994 health controls and 994 HBV-persistent infection cases by genotyping experiment. In the second stage, 1538 HBV-related hepatocellular carcinoma (HCC) cases and 1465 persistent HBV infection controls were collected to determine the effect of these variants on HBV-related HCC as well, which were examined by the additive model in logistic regression analysis. We identified seven genes associated with HBV infection. In the classic human leukocyte antigen (HLA) region, three novel genes BAK1, HLA-DOB and C4A (Z range from -3.95 to -3.64, P range from 7.84 × 10-5 to 2.00 × 10-4 ), as well as two genes (HLA-DPA1 and HLA-DPB1) were reported by previous GWAS. In the non-HLA region, immune related at newly identified loci, PARP9 (Z = 3.69, P = 2.20 × 10-4 ) at 3q21.1. At 22q11.21, we identified TMEM191A (Z = 3.55, P = 3.80 × 10-4 ) as a target gene in addition to the reported non-cis-heritable gene UBE2L3. After further stepwise logistic regression analysis and validation, we identified eight variants independently associated with persistent HBV infection. Among those variants, the additive model showed that two SNPs associated with HBV-related HCC risk (rs9272714 and rs9394194, OR range from 1.20 to 1.25, P range from 1.19 × 10-4 to 3.97 × 10-4 ). By integrating transcriptome data, our study not only identified new susceptibility loci of persistent HBV infection but also determined the potential target genes at reported loci, which provided insight into the genetic aetiology of persistent HBV infection and related HCC.
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Affiliation(s)
- Jing Han
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer Hospital, Nanjing, China
| | - Congcong Chen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Cheng Wang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Na Qin
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Mingtao Huang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Zijian Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Meng Zhu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Juncheng Dai
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Yue Jiang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Hongxia Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Guangfu Jin
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Hongbing Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Zhibin Hu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
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Huang YH, Liao SF, Khor SS, Lin YJ, Chen HY, Chang YH, Huang YH, Lu SN, Lee HW, Ko WY, Huang C, Liu PC, Chen YJ, Wu PF, Chu HW, Wu PE, Tokunaga K, Shen CY, Lee MH. Large-scale genome-wide association study identifies HLA class II variants associated with chronic HBV infection: a study from Taiwan Biobank. Aliment Pharmacol Ther 2020; 52:682-691. [PMID: 32573827 DOI: 10.1111/apt.15887] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 05/07/2020] [Accepted: 05/25/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Chronic hepatitis B virus (HBV) infection is a great health burden with geographical variations. AIMS To explore genetic variants associated with chronic HBV infection. METHODS The study included 15 352 participants seropositive for HBV core antibodies in Taiwan Biobank. Among them, 2591 (16.9%) seropositive for HBV surface antigen (HBsAg) were defined as having chronic HBV infection. All participants were examined for whole-genome genotyping by Axiom-Taiwan Biobank Array. The human leucocyte antigen (HLA) imputation was performed after identification of the variants within the region. Logistic regressions were used to estimate odds ratios (ORs) with 95% confidence intervals. Correlations of different HLA allele frequencies with HBsAg seroprevalence were evaluated across worldwide populations by Pearson correlation coefficients. Epitope prediction was performed for HLA alleles using NetMHCIIpan method. RESULTS Located within a cluster of 450 single nucleotide polymorphisms in HLA class II, rs7770370 (P = 2.73 × 10-35 ) was significantly associated with HBV chronicity (Pcorrected < 8.6 × 10-8 ). Imputation analyses showed that HLA-DPA1*02:02 and HLA-DPB1*05:01 were associated with chronic HBV, with adjusted ORs of 1.43 (1.09-1.89) and 1.61 (1.29-2.01). These allele frequencies were positively correlated with global HBsAg seroprevalence, with R of 0.75 and 0.62 respectively (P < 0.05). HLA-DRB1*13:02, HLA-DQA1* 01:02 and HLA-DQB1*06:09 associated with HBV chronicity negatively, with adjusted ORs of 0.31 (0.17-0.58), 0.70 (0.56-0.87) and 0.33 (0.18-0.63). These HLA alleles had various binding affinities to the predicted epitopes derived from HBV nucleocapsid protein. CONCLUSIONS HLA class II variants are relevant for chronicity after HBV acquisition.
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Wang XY, Chen HT, Na R, Jiang DK, Lin XL, Yang F, Jin C, Fu DL, Xu JF. Single-nucleotide polymorphisms based genetic risk score in the prediction of pancreatic cancer risk. World J Gastroenterol 2020; 26:3076-3086. [PMID: 32587449 PMCID: PMC7304113 DOI: 10.3748/wjg.v26.i22.3076] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 04/29/2020] [Accepted: 05/12/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Disease-related single nucleotide polymorphisms (SNPs) based genetic risk score (GRS) has been proven to provide independent inherited risk other than family history in multiple cancer types.
AIM To evaluate the potential of GRS in the prediction of pancreatic cancer risk.
METHODS In this case-control study (254 cases and 1200 controls), we aimed to evaluate the association between GRS and pancreatic ductal adenocarcinoma (PDAC) risk in the Chinese population. The GRS was calculated based on the genotype information of 18 PDAC-related SNPs for each study subject (personal genotyping information of the SNPs) and was weighted by external odd ratios (ORs).
RESULTS GRS was significantly different in cases and controls (1.96 ± 3.84 in PDACs vs 1.09 ± 0.94 in controls, P < 0.0001). Logistic regression revealed GRS to be associated with PDAC risk [OR = 1.23, 95% confidence interval (CI): 1.13-1.34, P < 0.0001]. GRS remained significantly associated with PDAC (OR = 1.36, 95%CI: 1.06-1.74, P = 0.015) after adjusting for age and sex. Further analysis revealed an association of increased risk for PDAC with higher GRS. Compared with low GRS (< 1.0), subjects with high GRS (2.0) were 99% more likely to have PDAC (OR: 1.99, 95%CI: 1.30-3.04, P = 0.002). Participants with intermediate GRS (1.0-1.9) were 39% more likely to have PDAC (OR: 1.39, 95%CI: 1.03-1.84, P = 0.031). A positive trend was observed (P trend = 0.0006).
CONCLUSION GRS based on PDAC-associated SNPs could provide independent information on PDAC risk and may be used to predict a high risk PDAC population.
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Affiliation(s)
- Xiao-Yi Wang
- Department of Pancreatic Surgery, Pancreatic Disease Institute, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Hai-Tao Chen
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong Province, China
| | - Rong Na
- Shanghai Medical College, Fudan University, Shanghai 200043, China
- Department of Urology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - De-Ke Jiang
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong Province, China
| | - Xiao-Ling Lin
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai 200433, China
| | - Feng Yang
- Department of Pancreatic Surgery, Pancreatic Disease Institute, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Chen Jin
- Department of Pancreatic Surgery, Pancreatic Disease Institute, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - De-Liang Fu
- Department of Pancreatic Surgery, Pancreatic Disease Institute, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Jian-Feng Xu
- Program for Personalized Cancer Care and Department of Surgery, North Shore University Health System, Evanston, IL 60201, United States
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Li L, Huang L, Huang S, Luo X, Zhang H, Mo Z, Wu T, Yang X. Non-linear association of serum molybdenum and linear association of serum zinc with nonalcoholic fatty liver disease: Multiple-exposure and Mendelian randomization approach. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 720:137655. [PMID: 32146412 DOI: 10.1016/j.scitotenv.2020.137655] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 02/27/2020] [Accepted: 02/29/2020] [Indexed: 06/10/2023]
Abstract
The homeostasis imbalance of metals is closely associated with nonalcoholic fatty liver disease (NAFLD). A total of 1594 and 566 Chinese Han men were enrolled in cross-sectional and longitudinal analyses, respectively. We measured the serum concentrations of 22 metals by ICP-MS. The traditional and the LASSO regression methods were used to construct multiple-metals models, respectively. We performed Mendelian randomization (MR) analysis to confirm the causal relationship between NAFLD and metals using three NAFLD-related SNPs as instrumental variable. After adjustment in the six-metal model, only depressed molybdenum and elevated zinc were associated with a higher NAFLD risk, in both cross-sectional and longitudinal analyses. In the twelve-metal model, similar results were still observed. Moreover, dose-response relationships were non-linear for molybdenum and positively linear for zinc with NAFLD risk. In MR analysis, no causal associations were found from NAFLD to molybdenum and zinc. Our results support that serum molybdenum levels were non-linearly associated with NAFLD risk in Chinese men, whereas serum zinc levels showed a positively linear association. Moreover, MR analysis indicated the changes in serum molybdenum and zinc levels might be not caused by NAFLD, further confirmed our findings in cross-sectional and longitudinal analyses.
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Affiliation(s)
- Longman Li
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China; Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Lulu Huang
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China; Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Sifang Huang
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China; Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Xiaoyu Luo
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China; Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Haiying Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China; Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Zengnan Mo
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China; Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Tangchun Wu
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China; Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Xiaobo Yang
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China; Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.
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Jiang D, Deng J, Dong C, Ma X, Xiao Q, Zhou B, Yang C, Wei L, Conran C, Zheng SL, Ng IOL, Yu L, Xu J, Sham PC, Qi X, Hou J, Ji Y, Cao G, Li M. Knowledge-based analyses reveal new candidate genes associated with risk of hepatitis B virus related hepatocellular carcinoma. BMC Cancer 2020; 20:403. [PMID: 32393195 PMCID: PMC7216662 DOI: 10.1186/s12885-020-06842-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2019] [Accepted: 04/07/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Recent genome-wide association studies (GWASs) have suggested several susceptibility loci of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) by statistical analysis at individual single-nucleotide polymorphisms (SNPs). However, these loci only explain a small fraction of HBV-related HCC heritability. In the present study, we aimed to identify additional susceptibility loci of HBV-related HCC using advanced knowledge-based analysis. METHODS We performed knowledge-based analysis (including gene- and gene-set-based association tests) on variant-level association p-values from two existing GWASs of HBV-related HCC. Five different types of gene-sets were collected for the association analysis. A number of SNPs within the gene prioritized by the knowledge-based association tests were selected to replicate genetic associations in an independent sample of 965 cases and 923 controls. RESULTS The gene-based association analysis detected four genes significantly or suggestively associated with HBV-related HCC risk: SLC39A8, GOLGA8M, SMIM31, and WHAMMP2. The gene-set-based association analysis prioritized two promising gene sets for HCC, cell cycle G1/S transition and NOTCH1 intracellular domain regulates transcription. Within the gene sets, three promising candidate genes (CDC45, NCOR1 and KAT2A) were further prioritized for HCC. Among genes of liver-specific expression, multiple genes previously implicated in HCC were also highlighted. However, probably due to small sample size, none of the genes prioritized by the knowledge-based association analyses were successfully replicated by variant-level association test in the independent sample. CONCLUSIONS This comprehensive knowledge-based association mining study suggested several promising genes and gene-sets associated with HBV-related HCC risks, which would facilitate follow-up functional studies on the pathogenic mechanism of HCC.
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Affiliation(s)
- Deke Jiang
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Institutes of Liver Diseases Research of Guangdong Province, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jiaen Deng
- Department of Psychiatry, the University of Hong Kong, Pokfulam, Hong Kong
| | | | - Xiaopin Ma
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Qianyi Xiao
- Center for Genomic Translational Medicine and Prevention, School of Public Health, Fudan University, Shanghai, China
| | - Bin Zhou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Institutes of Liver Diseases Research of Guangdong Province, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Chou Yang
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Institutes of Liver Diseases Research of Guangdong Province, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Lin Wei
- Program of Computational Genomics & Medicine, NorthShore University HealthSystem, Evanston, IL, USA.,Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Carly Conran
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Pritzker School of Medicine, University of Chicago, Evanston, IL, USA
| | - S Lilly Zheng
- Program of Computational Genomics & Medicine, NorthShore University HealthSystem, Evanston, IL, USA
| | - Irene Oi-Lin Ng
- Department of Pathology, the University of Hong Kong, Pokfulam, Hong Kong.,State Key Laboratory of Liver Research, the University of Hong Kong, Pokfulam, Hong Kong
| | - Long Yu
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Jianfeng Xu
- Program of Computational Genomics & Medicine, NorthShore University HealthSystem, Evanston, IL, USA
| | - Pak C Sham
- The Centre for Genomic Sciences, the University of Hong Kong, Pokfulam, Hong Kong
| | - Xiaolong Qi
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Institutes of Liver Diseases Research of Guangdong Province, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jinlin Hou
- State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Institutes of Liver Diseases Research of Guangdong Province, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yuan Ji
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Guangwen Cao
- Department of Epidemiology, Second Military Medical University, Shanghai, China.
| | - Miaoxin Li
- Department of Psychiatry, the University of Hong Kong, Pokfulam, Hong Kong. .,The Centre for Genomic Sciences, the University of Hong Kong, Pokfulam, Hong Kong. .,State Key Laboratory for Cognitive and Brain Sciences, the University of Hong Kong, Pokfulam, Hong Kong. .,Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China. .,Key Laboratory of Tropical Disease Control (SYSU), Ministry of Education, Guangzhou, China.
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Chen H, Sun J, Zhou B, Peng J, Xie Q, Liang X, Fan R, Conran C, Xu J, Ji Y, Zhang X, Sun L, Jia J, Wang G, Hou J, Jiang DK. A missense variant in complement factor B (CFB) is a potential predictor of 24-week off-treatment response to PegIFNα therapy in Chinese HBeAg-positive chronic hepatitis B patients. Aliment Pharmacol Ther 2020; 51:469-478. [PMID: 31943297 DOI: 10.1111/apt.15624] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 09/26/2019] [Accepted: 12/08/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND To date, 14 single-nucleotide polymorphisms (SNPs) have been identified as susceptibility loci for chronic hepatitis B (CHB). AIM To investigate if these SNPs are associated with treatment response of hepatitis B e antigen (HBeAg)-positive CHB patients. METHODS We performed a retrospective analysis of 1623 Han Chinese HBeAg-positive CHB patients (782 patients treated with pegylated interferon alpha [PegIFNα] for 48 weeks plus 24 weeks follow-up, and 841 patients treated with nucleos(t)ide analogues [NUCs] for 104 weeks) included in four phase-IV multicentre randomised controlled trials. All 14 SNPs were genotyped for each CHB patient. A polygenic score (PGS) was used to evaluate the cumulative effect of multiple SNPs. The associations of SNPs or PGS with combined response (CR) and hepatitis B s antigen (HBsAg) loss were assessed. RESULTS We found that rs12614, a missense variant of complement factor B (CFB), was significantly associated with CR in PegIFNα-treated patients, and the CR rate in patients with the rs12614 TT/CT genotype was less than one-third of that in patients with the CC genotype (7.4% vs 22.6%, P = 0.009). Moreover, a PGS integrating CFB rs12614 and STAT4 rs7574865 (previously reported to be associated with response to PegIFNα) was significantly associated with both CR (P-trend = 4.000 × 10-4 ) and HBsAg loss (P-trend = 0.010) in PegIFNα-treated patients. However, none of the SNPs were associated with treatment response in NUCs-treated patients. CONCLUSIONS CFB rs12614 is an independent predictor of response to PegIFNα therapy in Chinese HBeAg-positive CHB patients. A PGS integrating CFB rs12614 with STAT4 rs7574865 can effectively discriminate responders to PegIFNα from nonresponders.
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A Notch4 missense mutation is associated with susceptibility to tuberculosis in Chinese population. INFECTION GENETICS AND EVOLUTION 2019; 78:104145. [PMID: 31838262 DOI: 10.1016/j.meegid.2019.104145] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 12/05/2019] [Accepted: 12/12/2019] [Indexed: 02/05/2023]
Abstract
BACKGROUND The infection process of tuberculosis is related to the interactions between Mycobacterium tuberculosis (MTB) and the host immune system. Polymorphisms in genes involved in the host immune system are related to susceptibility to tuberculosis. The Notch signalling pathway regulates innate and adaptive immunity. Notch4 is a member of the Notch receptor family and may be a negative regulator of Mtb-induced inflammation. However, little is known about the association between Notch4 genetic polymorphisms and susceptibility to tuberculosis; therefore, we explored the association between Notch4 variants and susceptibility to tuberculosis in China. MATERIALS AND METHODS A total of 900 tuberculosis patients and 1534 healthy people serving as controls were enrolled consecutively at West China Hospital between January 2014 and February 2016 Twelve selected SNPs (rs2071277, rs2071285, rs206016, rs438475, rs2256594, rs429853, rs422951, rs415929, rs915895, rs443198, rs3830041 and rs375244) were genotyped by a custom-by-design 2 48-plex SNP scan TM kit. The frequencies of the alleles, genotypes and genetic models of the variants were compared between the two groups, while the SNP-SNP interactions were analysed by Multifactor Dimensionality Reduction (MDR) software. The odds ratio (OR) with a corresponding 95% confidence interval (CI) was calculated. RESULTS The G allele rs2071277 of Notch4 was associated with a decreased risk for tuberculosis (OR 0.844; 95% CI 0.748-0.954, p = .006). The G allele rs422951 of Notch4 was associated with a decreased risk for tuberculosis (OR 0.818; 95% CI 0.703-0.950, p = .008). These findings were consistent with the results from both the dominant model and additive model. The allele, genotype and genetic model frequencies for the other SNPs were similar in the two groups (all P > .05). One haplotype (GTG) consisting of rs2071277, rs2071285 and rs206016 was associated with tuberculosis risk (p = .011). CONCLUSION Ours is the first study implies that the G allele variants of rs2071277 and rs422951 in Notch4 influence susceptibility to tuberculosis in a Chinese population, suggesting that Notch signalling is involved in the pathogenesis of tuberculosis. More studies with functional verification will refine our understanding of the role of Notch signalling and provide novel avenues for therapeutic intervention.
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Zhong R, Tian J, Fu M, Ma S, Liu L, Li J, Shen N, Ke J, Yang Y, Gong Y, Zhu Y, Wang Y, Gong J, Chang J, Lei P, Cheng X, Huang K, Shen G, Miao X. LINC01149 variant modulates MICA expression that facilitates hepatitis B virus spontaneous recovery but increases hepatocellular carcinoma risk. Oncogene 2019; 39:1944-1956. [PMID: 31754211 DOI: 10.1038/s41388-019-1117-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Revised: 11/04/2019] [Accepted: 11/11/2019] [Indexed: 02/06/2023]
Abstract
Interpreting disease-causing variants, especially in noncoding regions by genome-wide association studies (GWAS), has become one of the most challenging and demanding tasks. We hypothesized that functional lncRNAs variants in GWAS-identified loci might alter expression level of genes associated with persistent HBV infection and hepatocellular carcinoma (HCC). Integrated bioinformatics approaches were used to prioritize potentially functional variants and a two-stage case-control study (2473 HBV positive HCC patients, 2248 persistent HBV carriers and 2294 spontaneously recovered subjects) was performed to assess the roles of these variants. The rs2844512 G > C variant in LINC01149 was identified to facilitate HBV spontaneous recovery (OR = 0.84, 95% CI = 0.77-0.92) but increase the risk of HCC (OR = 1.21, 95% CI = 1.11-1.32) in combined samples. Subsequent biological assays indicated this variant created a binding site for miR-128-3p and upregulated MICA expression by serving as a miRNA sponge, which might recruit NK-cells to lyse infected cells, but release highly soluble MICA by shedding to induce NK-cells exhaustion and tumor immune evasion. These findings highlight a regulatory circuit between LINC01149 and MICA, mediating by miR-128-3p, and the important role of upregulated MICA in conferring susceptibility to persistent HBV infection and HCC.
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Affiliation(s)
- Rong Zhong
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianbo Tian
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mingpeng Fu
- Department of Immunology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Simin Ma
- Department of Immunology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Jiaoyuan Li
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Na Shen
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Juntao Ke
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yang Yang
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yajie Gong
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Zhu
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Wang
- Department of Virology, Wuhan Centers for Disease Prevention and Control, Wuhan, China
| | - Jing Gong
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiang Chang
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Lei
- Department of Immunology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiang Cheng
- Department of Hepatobiliary Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kun Huang
- School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guanxin Shen
- Department of Immunology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoping Miao
- Department of Epidemiology and Biostatistics and Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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40
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Identification and characterization of SEC24D as a susceptibility gene for hepatitis B virus infection. Sci Rep 2019; 9:13425. [PMID: 31530870 PMCID: PMC6748997 DOI: 10.1038/s41598-019-49777-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 08/30/2019] [Indexed: 12/15/2022] Open
Abstract
Single nucleotide polymorphisms (SNPs) and genes associated with susceptibility to hepatitis B virus (HBV) infection that have been identified by genome-wide association studies explain only a limited portion of the known heritability, indicating more genetic variants remain to be discovered. In this study, we adopted a new research strategy to identify more susceptibility genes and variants for HBV infection. We first performed genetic association analysis of 300 sib-pairs and 3,087 case-control samples, which revealed that 36 SNPs located in 31 genes showed nominal associations with HBV infection in both samples. Of these genes, we selected SEC24D for further molecular analysis according to the following two main lines of evidence. First, a time course analysis of the expression profiles from HBV-infected primary human hepatocytes (PHH) demonstrated that SEC24D expression increased markedly as time passed after HBV infection (P = 4.0 × 10−4). Second, SNP rs76459466 in SEC24D was adversely associated with HBV risk (ORmeta = 0.82; Pmeta = 0.002), which again indicated that SEC24D represents a novel susceptibility gene for HBV infection. Moreover, SEC24D appeared to be protective against HBV infection in vitro. Consistently, we found that SEC24D expression was significantly enhanced in non-infected liver tissues (P = 0.002). We conclude that SEC24D is a novel candidate gene linked to susceptibility to HBV infection.
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41
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Zhang Z, Wang C, Liu Z, Zou G, Li J, Lu M. Host Genetic Determinants of Hepatitis B Virus Infection. Front Genet 2019; 10:696. [PMID: 31475028 PMCID: PMC6702792 DOI: 10.3389/fgene.2019.00696] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 07/03/2019] [Indexed: 12/14/2022] Open
Abstract
Chronic hepatitis B virus (HBV) infection is still a major health problem worldwide. Recently, a great number of genetic studies based on single nucleotide polymorphisms (SNPs) and genome-wide association studies have been performed to search for host determinants of the development of chronic HBV infection, clinical outcomes, therapeutic efficacy, and responses to hepatitis B vaccines, with a focus on human leukocyte antigens (HLA), cytokine genes, and toll-like receptors. In addition to SNPs, gene insertions/deletions and copy number variants are associated with infection. However, conflicting results have been obtained. In the present review, we summarize the current state of research on host genetic factors and chronic HBV infection, its clinical type, therapies, and hepatitis B vaccine responses and classify published results according to their reliability. The potential roles of host genetic determinants of chronic HBV infection identified in these studies and their clinical significance are discussed. In particular, HLAs were relevant for HBV infection and pathogenesis. Finally, we highlight the need for additional studies with large sample sizes, well-matched study designs, appropriate statistical methods, and validation in multiple populations to improve the treatment of HBV infection.
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Affiliation(s)
- Zhenhua Zhang
- Department of Infectious Diseases, the Second Affiliated Hospital of Anhui Medical University, Hefei, China
- College of Pharmacy, Anhui Medical University, Hefei, China
| | - Changtai Wang
- Department of Infectious Diseases, the Affiliated Anqing Hospital of Anhui Medical University, Anqing, China
| | - Zhongping Liu
- Department of Infectious Diseases, the Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Guizhou Zou
- Department of Infectious Diseases, the Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jun Li
- College of Pharmacy, Anhui Medical University, Hefei, China
| | - Mengji Lu
- Institute of Virology, University Hospital of Duisburg-Essen, Essen, Germany
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42
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Zhou L, Ren JH, Cheng ST, Xu HM, Chen WX, Chen DP, Wong VKW, Law BYK, Liu Y, Cai XF, Tang H, Yu HB, Hu JL, Hu Y, Zhou HZ, Ren F, He L, Hu ZW, Jiang H, Xu HY, Huang AL, Chen J. A Functional Variant in Ubiquitin Conjugating Enzyme E2 L3 Contributes to Hepatitis B Virus Infection and Maintains Covalently Closed Circular DNA Stability by Inducing Degradation of Apolipoprotein B mRNA Editing Enzyme Catalytic Subunit 3A. Hepatology 2019; 69:1885-1902. [PMID: 30614547 DOI: 10.1002/hep.30497] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Accepted: 12/20/2018] [Indexed: 12/11/2022]
Abstract
Hepatitis B virus (HBV) infection is a common infectious disease, in which nuclear covalently closed circular DNA (cccDNA) plays a key role in viral persistence, viral reactivation after treatment withdrawal, and drug resistance. A recent genome-wide association study has identified that the ubiquitin conjugating enzyme E2 L3 (UBE2L3) gene is associated with increased susceptibility to chronic HBV (CHB) infection in adults. However, the association between UBE2L3 and children with CHB and the underlying mechanism remain unclear. In this study, we performed two-stage case-control studies including adults and independent children in the Chinese Han population. The rs59391722 allele in the promoter of the UBE2L3 gene was significantly associated with HBV infection in both adults and children, and it increased the promoter activity of UBE2L3. Serum UBE2L3 protein levels were positively correlated with HBV viral load and hepatitis B e antigen (HBeAg) levels in children with CHB. In an HBV infection cell model, UBE2L3 knockdown significantly reduced total HBV RNAs, 3.5-kb RNA, as well as cccDNA in HBV-infected HepG2-Na+ /taurocholate cotransporting polypeptide cells and human primary hepatocytes. A mechanistic study found that UBE2L3 maintained cccDNA stability by inducing proteasome-dependent degradation of apolipoprotein B mRNA editing enzyme catalytic subunit 3A, which is responsible for the degradation of HBV cccDNA. Moreover, interferon-α (IFN-α) treatment markedly decreased UBE2L3 expression, while UBE2L3 silencing reinforced the antiviral activity of IFN-α on HBV RNAs, cccDNA, and DNA. rs59391722 in UBE2L3 was correlated with HBV DNA suppression and HBeAg loss in response to IFN-α treatment of children with CHB. Conclusion: These findings highlight a host gene, UBE2L3, contributing to the susceptibility to persistent HBV infection; UBE2L3 may be involved in IFN-mediated viral suppression and serve as a potential target in the prevention and treatment of HBV infection.
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Affiliation(s)
- Li Zhou
- The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
- Department of Epidemiology, School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Ji-Hua Ren
- The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
| | - Sheng-Tao Cheng
- The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
| | - Hong-Mei Xu
- Department of Infectious Diseases, The Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Wei-Xian Chen
- Department of Clinical Laboratory, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Da-Peng Chen
- Department of Clinical Laboratory, The Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Vincent Kam Wai Wong
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China
| | - Betty Yuen Kwan Law
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, China
| | - Yi Liu
- The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
| | - Xue-Fei Cai
- The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
| | - Hua Tang
- The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
| | - Hai-Bo Yu
- The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
| | - Jie-Li Hu
- The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
| | - Yuan Hu
- The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
| | - Hong-Zhong Zhou
- The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
| | - Fang Ren
- The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
| | - Lin He
- The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
| | - Zhong-Wen Hu
- The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
| | - Hui Jiang
- The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
| | - Hong-Yan Xu
- The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
| | - Ai-Long Huang
- The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
| | - Juan Chen
- The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China
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43
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Bitarello BD, de Filippo C, Teixeira JC, Schmidt JM, Kleinert P, Meyer D, Andrés AM. Signatures of Long-Term Balancing Selection in Human Genomes. Genome Biol Evol 2018; 10:939-955. [PMID: 29608730 PMCID: PMC5952967 DOI: 10.1093/gbe/evy054] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/14/2018] [Indexed: 12/15/2022] Open
Abstract
Balancing selection maintains advantageous diversity in populations through various mechanisms. Although extensively explored from a theoretical perspective, an empirical understanding of its prevalence and targets lags behind our knowledge of positive selection. Here, we describe the Non-central Deviation (NCD), a simple yet powerful statistic to detect long-term balancing selection (LTBS) that quantifies how close frequencies are to expectations under LTBS, and provides the basis for a neutrality test. NCD can be applied to a single locus or genomic data, and can be implemented considering only polymorphisms (NCD1) or also considering fixed differences with respect to an outgroup (NCD2) species. Incorporating fixed differences improves power, and NCD2 has higher power to detect LTBS in humans under different frequencies of the balanced allele(s) than other available methods. Applied to genome-wide data from African and European human populations, in both cases using chimpanzee as an outgroup, NCD2 shows that, albeit not prevalent, LTBS affects a sizable portion of the genome: ∼0.6% of analyzed genomic windows and 0.8% of analyzed positions. Significant windows (P < 0.0001) contain 1.6% of SNPs in the genome, which disproportionally fall within exons and change protein sequence, but are not enriched in putatively regulatory sites. These windows overlap ∼8% of the protein-coding genes, and these have larger number of transcripts than expected by chance even after controlling for gene length. Our catalog includes known targets of LTBS but a majority of them (90%) are novel. As expected, immune-related genes are among those with the strongest signatures, although most candidates are involved in other biological functions, suggesting that LTBS potentially influences diverse human phenotypes.
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Affiliation(s)
- Bárbara D Bitarello
- Department of Genetics and Evolutionary Biology, University of São Paulo, São Paulo, Brazil.,Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Cesare de Filippo
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - João C Teixeira
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.,Unit of Human Evolutionary Genetics, Institut Pasteur, Paris, France
| | - Joshua M Schmidt
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Philip Kleinert
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.,Computational Molecular Biology Department, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Diogo Meyer
- Department of Genetics and Evolutionary Biology, University of São Paulo, São Paulo, Brazil
| | - Aida M Andrés
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.,Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London, United Kingdom
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44
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Akcay IM, Katrinli S, Ozdil K, Doganay GD, Doganay L. Host genetic factors affecting hepatitis B infection outcomes: Insights from genome-wide association studies. World J Gastroenterol 2018; 24:3347-3360. [PMID: 30122875 PMCID: PMC6092584 DOI: 10.3748/wjg.v24.i30.3347] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 05/29/2018] [Accepted: 06/25/2018] [Indexed: 02/06/2023] Open
Abstract
The clinical outcome of Hepatitis B Virus (HBV) infection depends on the success or failure of the immune responses to HBV, and varies widely among individuals, ranging from asymptomatic self-limited infection, inactive carrier state, chronic hepatitis, cirrhosis, hepatocellular carcinoma, to liver failure. Genome-wide association studies (GWAS) identified key genetic factors influencing the pathogenesis of HBV-related traits. In this review, we discuss GWAS for persistence of HBV infection, antibody response to hepatitis B vaccine, and HBV-related advanced liver diseases. HBV persistence is associated with multiple genes with diverse roles in immune mechanisms. The strongest associations are found within the classical human leukocyte antigen (HLA) genes, highlighting the central role of antigen presentation in the immune response to HBV. Associated variants affect both epitope binding specificities and expression levels of HLA molecules. Several other susceptibility genes regulate the magnitude of adaptive immune responses, determining immunity vs tolerance. HBV persistence and nonresponse to vaccine share the same risk variants, implying overlapping genetic bases. On the other hand, the risk variants for HBV-related advanced liver diseases are largely different, suggesting different host-virus dynamics in acute vs chronic HBV infections. The findings of these GWAS are likely to pave the way for developing more effective preventive and therapeutic interventions by personalizing the management of HBV infection.
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Affiliation(s)
- Izzet Mehmet Akcay
- Department of Molecular Biology and Genetics, Istanbul Technical University, Istanbul 34469, Turkey
| | - Seyma Katrinli
- Department of Molecular Biology and Genetics, Istanbul Technical University, Istanbul 34469, Turkey
| | - Kamil Ozdil
- Department of Gastroenterology and Hepatology, Umraniye Teaching and Research Hospital, Istanbul 34764, Turkey
| | - Gizem Dinler Doganay
- Department of Molecular Biology and Genetics, Istanbul Technical University, Istanbul 34469, Turkey
| | - Levent Doganay
- Department of Gastroenterology and Hepatology, Umraniye Teaching and Research Hospital, Istanbul 34764, Turkey
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45
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Zhou J, Theesfeld CL, Yao K, Chen KM, Wong AK, Troyanskaya OG. Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk. Nat Genet 2018; 50:1171-1179. [PMID: 30013180 PMCID: PMC6094955 DOI: 10.1038/s41588-018-0160-6] [Citation(s) in RCA: 300] [Impact Index Per Article: 50.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2017] [Accepted: 05/03/2018] [Indexed: 02/06/2023]
Abstract
Key challenges for human genetics, precision medicine and evolutionary biology include deciphering the regulatory code of gene expression and understanding the transcriptional effects of genome variation. However, this is extremely difficult because of the enormous scale of the noncoding mutation space. We developed a deep learning-based framework, ExPecto, that can accurately predict, ab initio from a DNA sequence, the tissue-specific transcriptional effects of mutations, including those that are rare or that have not been observed. We prioritized causal variants within disease- or trait-associated loci from all publicly available genome-wide association studies and experimentally validated predictions for four immune-related diseases. By exploiting the scalability of ExPecto, we characterized the regulatory mutation space for human RNA polymerase II-transcribed genes by in silico saturation mutagenesis and profiled > 140 million promoter-proximal mutations. This enables probing of evolutionary constraints on gene expression and ab initio prediction of mutation disease effects, making ExPecto an end-to-end computational framework for the in silico prediction of expression and disease risk.
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Affiliation(s)
- Jian Zhou
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
- Graduate Program in Quantitative and Computational Biology, Princeton University, Princeton, NJ, USA
- Flatiron Institute, Simons Foundation, New York, NY, USA
| | - Chandra L Theesfeld
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Kevin Yao
- Flatiron Institute, Simons Foundation, New York, NY, USA
| | | | - Aaron K Wong
- Flatiron Institute, Simons Foundation, New York, NY, USA
| | - Olga G Troyanskaya
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
- Flatiron Institute, Simons Foundation, New York, NY, USA.
- Department of Computer Science, Princeton University, Princeton, NJ, USA.
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46
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Lu H, Lei X, Zhang Q. Liver-specific knockout of histone methyltransferase G9a impairs liver maturation and dysregulates inflammatory, cytoprotective, and drug-processing genes. Xenobiotica 2018; 49:740-752. [PMID: 29912608 DOI: 10.1080/00498254.2018.1490044] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Methyltransferase G9a is essential for a key gene silencing mark, histone H3 dimethylation at lysine-9 (H3K9me2). Hepatic G9a expression is down-regulated by xenobiotics and diabetes. However, little is known about the role of G9a in liver. Thus, we generated mice with liver-specific knockout (Liv-KO) of G9a. Adult G9a Liv-KO mice had marked loss of H3K9me2 proteins in liver, without overt liver injury or infiltration of inflammatory cells. However, G9a-null livers had ectopic induction of certain genes normally expressed in neural and immune systems. Additionally, G9a-null livers had moderate down-regulation of cytoprotective genes, markedly altered expression of certain important drug-processing genes, elevated endogenous reactive oxygen species, induction of ER stress marker Chop, but decreased glutathione and nuclear Nrf2. microRNA-383, a negative regulator of the PI3K/Akt pathway, was strongly induced in G9a Liv-KO mice. After LPS treatment, G9a Liv-KO mice had aggravated lipid peroxidation and proinflammatory response. Taken together, the present study demonstrates that G9a regulates liver maturation by silencing neural and proinflammatory genes but maintaining/activating cytoprotective and drug-processing genes, in which the G9a/miR-383/PI3K/Akt/Nrf2 (Chop) pathways may play important roles. G9a deficiency due to genetic polymorphism and/or environmental exposure may alter xenobiotic metabolism and aggravate inflammation and liver dysfunction.
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Affiliation(s)
- Hong Lu
- a Department of Pharmacology , SUNY Upstate Medical University , Syracuse , USA
| | - Xiaohong Lei
- a Department of Pharmacology , SUNY Upstate Medical University , Syracuse , USA
| | - Qinghao Zhang
- a Department of Pharmacology , SUNY Upstate Medical University , Syracuse , USA
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47
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Siewert KM, Voight BF. Detecting Long-Term Balancing Selection Using Allele Frequency Correlation. Mol Biol Evol 2018; 34:2996-3005. [PMID: 28981714 PMCID: PMC5850717 DOI: 10.1093/molbev/msx209] [Citation(s) in RCA: 81] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Balancing selection occurs when multiple alleles are maintained in a population, which can result in their preservation over long evolutionary time periods. A characteristic signature of this long-term balancing selection is an excess number of intermediate frequency polymorphisms near the balanced variant. However, the expected distribution of allele frequencies at these loci has not been extensively detailed, and therefore existing summary statistic methods do not explicitly take it into account. Using simulations, we show that new mutations which arise in close proximity to a site targeted by balancing selection accumulate at frequencies nearly identical to that of the balanced allele. In order to scan the genome for balancing selection, we propose a new summary statistic, β, which detects these clusters of alleles at similar frequencies. Simulation studies show that compared with existing summary statistics, our measure has improved power to detect balancing selection, and is reasonably powered in non-equilibrium demographic models and under a range of recombination and mutation rates. We compute β on 1000 Genomes Project data to identify loci potentially subjected to long-term balancing selection in humans. We report two balanced haplotypes-localized to the genes WFS1 and CADM2-that are strongly linked to association signals for complex traits. Our approach is computationally efficient and applicable to species that lack appropriate outgroup sequences, allowing for well-powered analysis of selection in the wide variety of species for which population data are rapidly being generated.
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Affiliation(s)
- Katherine M Siewert
- Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Benjamin F Voight
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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48
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Zhang N, Wu Y, Gong J, Li K, Lin X, Chen H, Yu Y, Gou Y, Hou J, Jiang D, Na R, Wang X, Ding Q, Xu J. Germline genetic variations in PDZD2 and ITPR2 genes are associated with clear cell renal cell carcinoma in Chinese population. Oncotarget 2018; 8:24196-24201. [PMID: 26918600 PMCID: PMC5421839 DOI: 10.18632/oncotarget.6917] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2015] [Accepted: 12/31/2015] [Indexed: 01/20/2023] Open
Abstract
Genome-wide association studies (GWAS) of renal cell carcinoma (RCC) have identified single nucleotide polymorphisms (SNPs) associated with RCC in European and African American population. In this study, we evaluated whether these SNPs are associated with clear cell RCC (ccRCC) in Chinese population. All reported RCC risk-associated SNPs from GWAS were evaluated in 346 ccRCC cases and 1,130 controls. Rs10054504 (at PDZD2, Odds ratio, OR = 0.71, 95%CI:0.59-0.86, P = 0.0006), rs718314 (at ITPR2, OR = 0.56, 95%CI:0.45-0.69, P = 5.26×10-8) and rs1049380 (at ITPR2, by dominant model, OR = 1.58, 95%CI:1.18-2.13, P = 0.0025) were significantly associated with ccRCC risk in Chinese population. To conclude, genetic variations in PDZD2 and ITPR2 are ccRCC-risk associated in Chinese population.
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Affiliation(s)
- Ning Zhang
- Department of Urology, Huashan Hospital, Fudan University, Shanghai, PR China.,Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Yishuo Wu
- Department of Urology, Huashan Hospital, Fudan University, Shanghai, PR China.,Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Jian Gong
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Kaiwen Li
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yet-sen University, Guandong, PR China
| | - Xiaolin Lin
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, PR China.,State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, PR China.,Center for Genetic Epidemiology, School of Life Sciences, Fudan University, Shanghai, PR China
| | - Haitao Chen
- Center for Genetic Epidemiology, School of Life Sciences, Fudan University, Shanghai, PR China
| | - Yang Yu
- Department of Urology, Huashan Hospital, Fudan University, Shanghai, PR China.,Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Yuancheng Gou
- Department of Urology, Huashan Hospital, Fudan University, Shanghai, PR China.,Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Jiangang Hou
- Department of Urology, Huashan Hospital, Fudan University, Shanghai, PR China.,Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Deke Jiang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, PR China
| | - Rong Na
- Department of Urology, Huashan Hospital, Fudan University, Shanghai, PR China.,Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, PR China.,Health Communication Institute, School of Public Health, Fudan University, Shanghai, PR China.,Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
| | - Xiang Wang
- Department of Urology, Huashan Hospital, Fudan University, Shanghai, PR China.,Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Qiang Ding
- Department of Urology, Huashan Hospital, Fudan University, Shanghai, PR China.,Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Jianfeng Xu
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, PR China.,Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yet-sen University, Guandong, PR China.,State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, PR China.,Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
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Li T, Liu F, Zhang L, Ye Q, Fan X, Xue Y, Wang L. Host genetic factors in predicting response status in chronic hepatitis B patients discontinuing nucleos(t)ide analogs. Saudi J Gastroenterol 2018; 24:30-36. [PMID: 29451182 PMCID: PMC5848322 DOI: 10.4103/sjg.sjg_228_17] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND/AIMS The optimal duration of nucleos(t)ide analogs (NAs) therapy in chronic hepatitis B (CHB) patients remains unsatisfactory. Previous studies have confirmed the important role of host genetic factors in determining the outcome of HBV infection. This study tries to determine the role of host genetic factors in predicting response status in CHB patients discontinuing NAs according to stringent cessation criteria. PATIENTS AND METHODS Participating patients came from a prospective NAs- discontinuation cohort since June 1999. Six single-nucleotide polymorphisms (SNPs) were selected according to previous report. SNaPshot assay was used for DNA SNPs analyses. RESULTS Seventy-six CHB patients were enrolled in our study, of which 61 patients were HBeAg-positive and 15 patients were HBeAg-negative. rs1883832 in the Kozak sequence of CD40 displayed an AUROC of 0.778 in predicting response status in CHB patients with HBeAg seroconversion and a genotype of CT was associated with sustained response in this subpopulation. The diagnostic performance of combinative index (rs1883832, age, and HBsAg at discontinuation) seemed to be better than that of rs1883832, but no statistical difference was observed. rs1883832 was also evaluated as an independent factor for response status by multivariate logistic regression. For HBeAg-negative CHB patients, rs9277535 at HLA-DP presents a Spearman correlation coefficient of 0.582 (P = 0.023) with virological relapse after discontinuation of NAs. CONCLUSIONS rs1883832 serves as a valuable predictive factor for CHB patients with HBeAg seroconversion. rs9277535 at HLA-DP might also be a valuable predictive factor for CHB patients with HBeAg-negative, however, further verifications are recommended due to study limitations.
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Affiliation(s)
- Tao Li
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Shandong, China
| | - Feng Liu
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Shandong, China
| | - Lixin Zhang
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Shandong, China
| | - Qian Ye
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Shandong, China
| | - Xiaoping Fan
- Department of Hepatopathy, Qingdao Infectious Disease Hospital, Shandong, China
| | - Yan Xue
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Shandong, China
| | - Lei Wang
- Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Shandong, China,Address for correspondence: Prof. Lei Wang, Department of Infectious Diseases and Hepatology, The Second Hospital of Shandong University, Shandong, China. E-mail:
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Qiu B, Jiang W, Olyaee M, Shimura K, Miyakawa A, Hu H, Zhu Y, Tang L. Advances in the genome-wide association study of chronic hepatitis B susceptibility in Asian population. Eur J Med Res 2017; 22:55. [PMID: 29282121 PMCID: PMC5745855 DOI: 10.1186/s40001-017-0288-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2016] [Accepted: 11/01/2017] [Indexed: 12/16/2022] Open
Abstract
Chronic hepatitis B (CHB) is the most common chronic liver disease resulting from viral infection and has become a serious threat to human health. Each year, about 1.2 million people in the world die from diseases caused by chronic infection of hepatitis B virus. The genetic polymorphism is significantly associated with the susceptibility to chronic hepatitis B. Genome-wide association study was recently developed and has become an important tool to detect susceptibility genes of CHB. To date, a number of CHB-associated susceptibility loci and regions have been identified by scientists over the world. To clearly understand the role of susceptibility loci in the occurrence of CHB is important for the early diagnosis and prevention of CHB.
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Affiliation(s)
- Bing Qiu
- Department of Gastroenterology, Heilongjiang Province Hospital, 82 Zhongshan Road, Harbin, 150036, Heilongjiang, People's Republic of China.
| | - Wei Jiang
- Department of Gastroenterology, The First Affiliated Hospital of Jiamusi University, Jiamusi, 154002, People's Republic of China
| | - Mojtaba Olyaee
- Division of Gastroenterology, Department of Internal Medicine, University of Kansas, Medical Center, Kansas City, 66160, USA
| | - Kenji Shimura
- Department of Gastroenterology, Asahi General Hospital, Chiba, 289-2511, Japan
| | - Akihiro Miyakawa
- Department of Gastroenterology, Asahi General Hospital, Chiba, 289-2511, Japan
| | - Huijing Hu
- Department of Laboratory Diagnosis, Heilongjiang Province Hospital, Harbin, 150036, People's Republic of China
| | - Yongcui Zhu
- Department of Gastroenterology, Heilongjiang Province Hospital, 82 Zhongshan Road, Harbin, 150036, Heilongjiang, People's Republic of China
| | - Lixin Tang
- Department of Gastroenterology, Heilongjiang Province Hospital, 82 Zhongshan Road, Harbin, 150036, Heilongjiang, People's Republic of China
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