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Pressley KR, Schwegman L, Montes De Oca Arena M, Chase Huizar C, Zamvil SS, Forsthuber TG. HLA-transgenic mouse models to study autoimmune central nervous system diseases. Autoimmunity 2024; 57:2387414. [PMID: 39167553 DOI: 10.1080/08916934.2024.2387414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Revised: 07/20/2024] [Accepted: 07/27/2024] [Indexed: 08/23/2024]
Abstract
It is known that certain human leukocyte antigen (HLA) genes are associated with autoimmune central nervous system (CNS) diseases, such as multiple sclerosis (MS), but their exact role in disease susceptibility and etiopathogenesis remains unclear. The best studied HLA-associated autoimmune CNS disease is MS, and thus will be the primary focus of this review. Other HLA-associated autoimmune CNS diseases, such as autoimmune encephalitis and neuromyelitis optica will be discussed. The lack of animal models to accurately capture the complex human autoimmune response remains a major challenge. HLA transgenic (tg) mice provide researchers with powerful tools to investigate the underlying mechanisms promoting susceptibility and progression of HLA-associated autoimmune CNS diseases, as well as for elucidating the myelin epitopes potentially targeted by T cells in autoimmune disease patients. We will discuss the potential role(s) of autoimmune disease-associated HLA alleles in autoimmune CNS diseases and highlight information provided by studies using HLA tg mice to investigate the underlying pathological mechanisms and opportunities to use these models for development of novel therapies.
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Affiliation(s)
- Kyle R Pressley
- Department of Molecular Microbiology and Immunology, University of Texas at San Antonio, San Antonio, TX, USA
- Department of Neuroscience, Developmental and Regenerative Biology, University of Texas at San Antonio, San Antonio, TX, USA
| | - Lance Schwegman
- Department of Molecular Microbiology and Immunology, University of Texas at San Antonio, San Antonio, TX, USA
| | - Maria Montes De Oca Arena
- Department of Microbiology, Immunology & Molecular Genetics, University of Texas Health at San Antonio, San Antonio, TX, USA
| | - Carol Chase Huizar
- Department of Molecular Microbiology and Immunology, University of Texas at San Antonio, San Antonio, TX, USA
| | - Scott S Zamvil
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
- Program in Immunology, University of California, San Francisco, CA, USA
| | - Thomas G Forsthuber
- Department of Molecular Microbiology and Immunology, University of Texas at San Antonio, San Antonio, TX, USA
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2
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Eisenblätter R, Seifert F, Schürmann P, Beckhaus T, Hanel P, Jentschke M, Böhmer G, Strauß HG, Hirchenhain C, Schmidmayr M, Müller F, Hein A, Stuebs F, Koch M, Ruebner M, Beckmann MW, Fasching PA, Luyten A, Häfner N, Hillemanns P, Dörk T, Ramachandran D. Validation and functional follow-up of cervical cancer risk variants at the HLA locus. HLA 2024; 104:e15597. [PMID: 39101335 DOI: 10.1111/tan.15597] [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: 04/17/2024] [Revised: 06/19/2024] [Accepted: 07/02/2024] [Indexed: 08/06/2024]
Abstract
Cervical cancer is the fourth most common cancer in females. Genome-wide association studies (GWASs) have proposed cervical cancer susceptibility variants at the HLA locus on chromosome 6p21. To corroborate these findings and investigate their functional impact in cervical tissues and cell lines, we genotyped nine variants from cervical cancer GWASs (rs17190106, rs535777, rs1056429, rs2763979, rs143954678, rs113937848, rs3117027, rs3130214, and rs9477610) in a German hospital-based series of 1122 invasive cervical cancers, 1408 dysplasias, and 1196 healthy controls. rs17190106, rs1056429 and rs143954678/rs113937848 associated with cervical malignancies overall, while rs17190106 and rs535777 associated specifically with invasive cancer (OR = 0.69, 95% CI = 0.55-0.86, p = 0.001) or adenocarcinomas (OR = 1.63, 95%CI = 1.17-2.27, p = 0.004), respectively. We tested these and one previously genotyped GWAS variant, rs9272117, for potential eQTL effects on 36 gene transcripts at the HLA locus in 280 cervical epithelial tissues. The strongest eQTL pairs were rs9272117 and HLA-DRB6 (p = 1.9x10E-5), rs1056429 and HLA-DRB5 (p = 2.5x10E-4), and rs535777 and HLA-DRB1 (p = 2.7x10E-4). We also identified transcripts that were specifically upregulated (DDX39B, HCP5, HLA-B, LTB, NFKBIL1) or downregulated (HLA-C, HLA-DPB2) in HPV+ or HPV16+ samples. In comparison, treating cervical epithelial cells with proinflammatory cytokine γ-IFN led to a dose-dependent induction of HCP5, HLA-B, HLA-C, HLA-DQB1, HLA-DRB1, HLA-DRB6, and repression of HSPA1L. Taken together, these results identify relevant genes from both the MHC class I and II regions that are inflammation-responsive in cervical epithelium and associate with HPV (HCP5, HLA-B, HLA-C) and/or with genomic cervical cancer risk variants (HLA-DRB1, HLA-DRB6). They may thus constitute important contributors to the immune escape of precancerous cells after HPV-infection.
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Affiliation(s)
- Rieke Eisenblätter
- Department of Gynaecology, Comprehensive Cancer Center, Hannover Medical School, Hannover, Germany
| | - Finja Seifert
- Department of Gynaecology, Comprehensive Cancer Center, Hannover Medical School, Hannover, Germany
| | - Peter Schürmann
- Department of Gynaecology, Comprehensive Cancer Center, Hannover Medical School, Hannover, Germany
| | - Theresa Beckhaus
- Department of Gynaecology, Comprehensive Cancer Center, Hannover Medical School, Hannover, Germany
| | - Patricia Hanel
- Department of Gynaecology, Comprehensive Cancer Center, Hannover Medical School, Hannover, Germany
| | - Matthias Jentschke
- Department of Gynaecology, Comprehensive Cancer Center, Hannover Medical School, Hannover, Germany
| | | | - Hans-Georg Strauß
- Department of Gynaecology, University Clinics, Martin-Luther University, Halle-Wittenberg, Germany
| | - Christine Hirchenhain
- Department of Gynaecology, Clinics Carl Gustav Carus, University of Dresden, Dresden, Germany
| | - Monika Schmidmayr
- Department of Gynaecology, Technische Universität München, Munich, Germany
| | - Florian Müller
- Martin-Luther Hospital, Charite University, Berlin, Germany
| | - Alexander Hein
- Department of Gynaecology and Obstetrics, Klinikum Esslingen, Esslingen am Neckar, Germany
| | - Frederik Stuebs
- Department of Gynaecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen-EMN, Friedrich Alexander, University of Erlangen-Nuremberg (FAU), Erlangen, Germany
- Institute of Human Genetics, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany
| | - Martin Koch
- Department of Gynaecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen-EMN, Friedrich Alexander, University of Erlangen-Nuremberg (FAU), Erlangen, Germany
- Institute of Human Genetics, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany
| | - Matthias Ruebner
- Department of Gynaecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen-EMN, Friedrich Alexander, University of Erlangen-Nuremberg (FAU), Erlangen, Germany
- Institute of Human Genetics, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany
| | - Matthias W Beckmann
- Department of Gynaecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen-EMN, Friedrich Alexander, University of Erlangen-Nuremberg (FAU), Erlangen, Germany
- Institute of Human Genetics, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany
| | - Peter A Fasching
- Department of Gynaecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen-EMN, Friedrich Alexander, University of Erlangen-Nuremberg (FAU), Erlangen, Germany
- Institute of Human Genetics, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany
| | - Alexander Luyten
- Dysplasia Unit, Department of Gynecology and Obstetrics, Mare Klinikum, Kronshagen, Germany
- Department of Gynaecology, Wolfsburg Hospital, Wolfsburg, Germany
| | - Norman Häfner
- Department of Gynaecology, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany
| | - Peter Hillemanns
- Department of Gynaecology, Comprehensive Cancer Center, Hannover Medical School, Hannover, Germany
| | - Thilo Dörk
- Department of Gynaecology, Comprehensive Cancer Center, Hannover Medical School, Hannover, Germany
| | - Dhanya Ramachandran
- Department of Gynaecology, Comprehensive Cancer Center, Hannover Medical School, Hannover, Germany
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Behr M, Kumbier K, Cordova-Palomera A, Aguirre M, Ronen O, Ye C, Ashley E, Butte AJ, Arnaout R, Brown B, Priest J, Yu B. Learning epistatic polygenic phenotypes with Boolean interactions. PLoS One 2024; 19:e0298906. [PMID: 38625909 PMCID: PMC11020961 DOI: 10.1371/journal.pone.0298906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 01/31/2024] [Indexed: 04/18/2024] Open
Abstract
Detecting epistatic drivers of human phenotypes is a considerable challenge. Traditional approaches use regression to sequentially test multiplicative interaction terms involving pairs of genetic variants. For higher-order interactions and genome-wide large-scale data, this strategy is computationally intractable. Moreover, multiplicative terms used in regression modeling may not capture the form of biological interactions. Building on the Predictability, Computability, Stability (PCS) framework, we introduce the epiTree pipeline to extract higher-order interactions from genomic data using tree-based models. The epiTree pipeline first selects a set of variants derived from tissue-specific estimates of gene expression. Next, it uses iterative random forests (iRF) to search training data for candidate Boolean interactions (pairwise and higher-order). We derive significance tests for interactions, based on a stabilized likelihood ratio test, by simulating Boolean tree-structured null (no epistasis) and alternative (epistasis) distributions on hold-out test data. Finally, our pipeline computes PCS epistasis p-values that probabilisticly quantify improvement in prediction accuracy via bootstrap sampling on the test set. We validate the epiTree pipeline in two case studies using data from the UK Biobank: predicting red hair and multiple sclerosis (MS). In the case of predicting red hair, epiTree recovers known epistatic interactions surrounding MC1R and novel interactions, representing non-linearities not captured by logistic regression models. In the case of predicting MS, a more complex phenotype than red hair, epiTree rankings prioritize novel interactions surrounding HLA-DRB1, a variant previously associated with MS in several populations. Taken together, these results highlight the potential for epiTree rankings to help reduce the design space for follow up experiments.
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Affiliation(s)
- Merle Behr
- Faculty of Informatics and Data Science, University of Regensburg, Regensburg, Germany
| | - Karl Kumbier
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, United States of America
| | | | - Matthew Aguirre
- Department of Pediatrics, Stanford Medicine, Stanford, CA, United States of America
- Department of Biomedical Data Science, Stanford Medicine, Stanford, CA, United States of America
| | - Omer Ronen
- Department of Statistics, University of California at Berkeley, Berkeley, CA, United States of America
| | - Chengzhong Ye
- Department of Statistics, University of California at Berkeley, Berkeley, CA, United States of America
| | - Euan Ashley
- Division of Cardiovascular Medicine, Stanford Medicine, Stanford, CA, United States of America
| | - Atul J. Butte
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, United States of America
| | - Rima Arnaout
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, United States of America
- Division of Cardiology, Department of Medicine, University of California, San Francisco, San Francisco, CA, United States of America
| | - Ben Brown
- Department of Statistics, University of California at Berkeley, Berkeley, CA, United States of America
- Biosciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America
| | - James Priest
- Department of Pediatrics, Stanford Medicine, Stanford, CA, United States of America
| | - Bin Yu
- Department of Statistics, University of California at Berkeley, Berkeley, CA, United States of America
- Department of Electrical Engineering and Computer Sciences and Center for Computational Biology, University of California at Berkeley, Berkeley, CA, United States of America
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4
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Petersdorf EW, McKallor C, Malkki M, He M, Spellman SR, Gooley T, Stevenson P. HLA Haplotypes and Relapse After Hematopoietic Cell Transplantation. J Clin Oncol 2024; 42:886-897. [PMID: 38051980 PMCID: PMC10927336 DOI: 10.1200/jco.23.01264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 09/25/2023] [Accepted: 10/06/2023] [Indexed: 12/07/2023] Open
Abstract
PURPOSE Recurrence of blood malignancy is the major cause of hematopoietic cell transplant failure. HLA class II molecules play a fundamental role in antitumor responses but the role of class II haplotypes is not known. METHODS HLA-DR, -DQ, -DM, and -DO allele variation was determined in 1,629 related haploidentical transplants to study the clinical significance of individual molecules and haplotypes. RESULTS Outcome correlated with patient and donor variation for HLA-DRβ residue 86 (Gly/Val), HLA-DQ (G1/G2) heterodimers, and donor HLA-DM (DM11,11/nonDM11,11) molecules, and depended on patient-donor mismatching. Risks of relapse were lower for DRβ-86 GlyGly patients when the donor was GlyVal (hazard ratio [HR], 0.46 [95% CI, 0.30 to 0.68]; P < .001); GlyVal patients benefited from HLA-DRB1-matched donors, whereas no donor was superior to another for ValVal patients. G1G2 patients with G1G2-mismatched donors had lower relapse. Transplantation from donors with DMα residue 184 ArgHis was associated with higher risk of relapse (HR, 1.60 [95% CI, 1.09 to 2.36]; P = .02) relative to ArgArg. Relapse and mortality risks differed across HLA-DR-DQ-DM haplotypes. CONCLUSION HLA class II haplotypes may be functional constituents of the transplantation barrier, and their consideration in patients and donors may improve the success of transplantation.
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Affiliation(s)
- Effie W. Petersdorf
- Division of Translational Science and Therapeutics, Fred Hutchinson Cancer Center, Seattle, WA
- University of Washington School of Medicine, Seattle, WA
| | - Caroline McKallor
- Division of Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA
| | - Mari Malkki
- Division of Translational Science and Therapeutics, Fred Hutchinson Cancer Center, Seattle, WA
| | - Meilun He
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, MN
| | - Stephen R. Spellman
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, MN
| | - Theodore Gooley
- Division of Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA
| | - Philip Stevenson
- Division of Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA
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5
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Barrie W, Yang Y, Irving-Pease EK, Attfield KE, Scorrano G, Jensen LT, Armen AP, Dimopoulos EA, Stern A, Refoyo-Martinez A, Pearson A, Ramsøe A, Gaunitz C, Demeter F, Jørkov MLS, Møller SB, Springborg B, Klassen L, Hyldgård IM, Wickmann N, Vinner L, Korneliussen TS, Allentoft ME, Sikora M, Kristiansen K, Rodriguez S, Nielsen R, Iversen AKN, Lawson DJ, Fugger L, Willerslev E. Elevated genetic risk for multiple sclerosis emerged in steppe pastoralist populations. Nature 2024; 625:321-328. [PMID: 38200296 PMCID: PMC10781639 DOI: 10.1038/s41586-023-06618-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 09/06/2023] [Indexed: 01/12/2024]
Abstract
Multiple sclerosis (MS) is a neuro-inflammatory and neurodegenerative disease that is most prevalent in Northern Europe. Although it is known that inherited risk for MS is located within or in close proximity to immune-related genes, it is unknown when, where and how this genetic risk originated1. Here, by using a large ancient genome dataset from the Mesolithic period to the Bronze Age2, along with new Medieval and post-Medieval genomes, we show that the genetic risk for MS rose among pastoralists from the Pontic steppe and was brought into Europe by the Yamnaya-related migration approximately 5,000 years ago. We further show that these MS-associated immunogenetic variants underwent positive selection both within the steppe population and later in Europe, probably driven by pathogenic challenges coinciding with changes in diet, lifestyle and population density. This study highlights the critical importance of the Neolithic period and Bronze Age as determinants of modern immune responses and their subsequent effect on the risk of developing MS in a changing environment.
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Affiliation(s)
- William Barrie
- Department of Zoology, University of Cambridge, Cambridge, UK
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Yaoling Yang
- Department of Statistical Sciences, School of Mathematics, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK
| | - Evan K Irving-Pease
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Kathrine E Attfield
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Gabriele Scorrano
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Lise Torp Jensen
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
- Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Angelos P Armen
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | | | - Aaron Stern
- Departments of Integrative Biology and Statistics, University of California, Berkeley, Berkeley, CA, USA
| | - Alba Refoyo-Martinez
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Alice Pearson
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Abigail Ramsøe
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Charleen Gaunitz
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Fabrice Demeter
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Eco-anthropologie (EA), Muséum National d'Histoire Naturelle, CNRS, Université de Paris, Musée de l'Homme, Paris, France
| | - Marie Louise S Jørkov
- Laboratory of Biological Anthropology, Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark
| | | | | | - Lutz Klassen
- Museum Østdanmark-Djursland og Randers, Randers, Denmark
| | | | | | - Lasse Vinner
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | | | - Morten E Allentoft
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, Australia
| | - Martin Sikora
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Kristian Kristiansen
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Historical Studies, University of Gothenburg, Gothenburg, Sweden
| | - Santiago Rodriguez
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK
| | - Rasmus Nielsen
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Departments of Integrative Biology and Statistics, University of California, Berkeley, Berkeley, CA, USA
| | - Astrid K N Iversen
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK.
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK.
| | - Daniel J Lawson
- Department of Statistical Sciences, School of Mathematics, University of Bristol, Bristol, UK.
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK.
| | - Lars Fugger
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK.
- Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.
- MRC Human Immunology Unit, John Radcliffe Hospital, University of Oxford, Oxford, UK.
| | - Eske Willerslev
- Department of Zoology, University of Cambridge, Cambridge, UK.
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
- MARUM Center for Marine Environmental Sciences and Faculty of Geosciences, University of Bremen, Bremen, Germany.
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6
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Wang D, Perera D, He J, Cao C, Kossinna P, Li Q, Zhang W, Guo X, Platt A, Wu J, Zhang Q. cLD: Rare-variant linkage disequilibrium between genomic regions identifies novel genomic interactions. PLoS Genet 2023; 19:e1011074. [PMID: 38109434 PMCID: PMC10758262 DOI: 10.1371/journal.pgen.1011074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 01/01/2024] [Accepted: 11/20/2023] [Indexed: 12/20/2023] Open
Abstract
Linkage disequilibrium (LD) is a fundamental concept in genetics; critical for studying genetic associations and molecular evolution. However, LD measurements are only reliable for common genetic variants, leaving low-frequency variants unanalyzed. In this work, we introduce cumulative LD (cLD), a stable statistic that captures the rare-variant LD between genetic regions, which reflects more biological interactions between variants, in addition to lack of recombination. We derived the theoretical variance of cLD using delta methods to demonstrate its higher stability than LD for rare variants. This property is also verified by bootstrapped simulations using real data. In application, we find cLD reveals an increased genetic association between genes in 3D chromatin interactions, a phenomenon recently reported negatively by calculating standard LD between common variants. Additionally, we show that cLD is higher between gene pairs reported in interaction databases, identifies unreported protein-protein interactions, and reveals interacting genes distinguishing case/control samples in association studies.
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Affiliation(s)
- Dinghao Wang
- Department of Mathematics and Statistics, University of Calgary, Calgary, Alberta, Canada
| | - Deshan Perera
- Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, Alberta, Canada
| | - Jingni He
- Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, Alberta, Canada
| | - Chen Cao
- Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, Alberta, Canada
| | - Pathum Kossinna
- Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, Alberta, Canada
| | - Qing Li
- Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, Alberta, Canada
| | - William Zhang
- The Harker School, San Jose, California, United States of America
| | - Xingyi Guo
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Alexander Platt
- Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Jingjing Wu
- Department of Mathematics and Statistics, University of Calgary, Calgary, Alberta, Canada
| | - Qingrun Zhang
- Department of Mathematics and Statistics, University of Calgary, Calgary, Alberta, Canada
- Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, Alberta, Canada
- Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
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7
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Ünlü B, Pons C, Ho UL, Batté A, Aloy P, van Leeuwen J. Global analysis of suppressor mutations that rescue human genetic defects. Genome Med 2023; 15:78. [PMID: 37821946 PMCID: PMC10568808 DOI: 10.1186/s13073-023-01232-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 09/12/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Genetic suppression occurs when the deleterious effects of a primary "query" mutation, such as a disease-causing mutation, are rescued by a suppressor mutation elsewhere in the genome. METHODS To capture existing knowledge on suppression relationships between human genes, we examined 2,400 published papers for potential interactions identified through either genetic modification of cultured human cells or through association studies in patients. RESULTS The resulting network encompassed 476 unique suppression interactions covering a wide spectrum of diseases and biological functions. The interactions frequently linked genes that operate in the same biological process. Suppressors were strongly enriched for genes with a role in stress response or signaling, suggesting that deleterious mutations can often be buffered by modulating signaling cascades or immune responses. Suppressor mutations tended to be deleterious when they occurred in absence of the query mutation, in apparent contrast with their protective role in the presence of the query. We formulated and quantified mechanisms of genetic suppression that could explain 71% of interactions and provided mechanistic insight into disease pathology. Finally, we used these observations to predict suppressor genes in the human genome. CONCLUSIONS The global suppression network allowed us to define principles of genetic suppression that were conserved across diseases, model systems, and species. The emerging frequency of suppression interactions among human genes and range of underlying mechanisms, together with the prevalence of suppression in model organisms, suggest that compensatory mutations may exist for most genetic diseases.
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Affiliation(s)
- Betül Ünlü
- Center for Integrative Genomics, University of Lausanne, Génopode Building, 1015, Lausanne, Switzerland
| | - Carles Pons
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute for Science and Technology, Barcelona, Spain
| | - Uyen Linh Ho
- Center for Integrative Genomics, University of Lausanne, Génopode Building, 1015, Lausanne, Switzerland
| | - Amandine Batté
- Center for Integrative Genomics, University of Lausanne, Génopode Building, 1015, Lausanne, Switzerland
| | - Patrick Aloy
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute for Science and Technology, Barcelona, Spain
- Institucio Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Jolanda van Leeuwen
- Center for Integrative Genomics, University of Lausanne, Génopode Building, 1015, Lausanne, Switzerland.
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8
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Dedoni S, Scherma M, Camoglio C, Siddi C, Dazzi L, Puliga R, Frau J, Cocco E, Fadda P. An overall view of the most common experimental models for multiple sclerosis. Neurobiol Dis 2023:106230. [PMID: 37453561 DOI: 10.1016/j.nbd.2023.106230] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 07/01/2023] [Accepted: 07/12/2023] [Indexed: 07/18/2023] Open
Abstract
Multiple sclerosis (MS) is a complex chronic disease with an unknown etiology. It is considered an inflammatory demyelinating and neurodegenerative disorder of the central nervous system (CNS) characterized, in most cases, by an unpredictable onset of relapse and remission phases. The disease generally starts in subjects under 40; it has a higher incidence in women and is described as a multifactorial disorder due to the interaction between genetic and environmental risk factors. Unfortunately, there is currently no definitive cure for MS. Still, therapies can modify the disease's natural history, reducing the relapse rate and slowing the progression of the disease or managing symptoms. The limited access to human CNS tissue slows down. It limits the progression of research on MS. This limit has been partially overcome over the years by developing various experimental models to study this disease. Animal models of autoimmune demyelination, such as experimental autoimmune encephalomyelitis (EAE) and viral and toxin or transgenic MS models, represent the most significant part of MS research approaches. These models have now been complemented by ex vivo studies, using organotypic brain slice cultures and in vitro, through induced Pluripotent Stem cells (iPSCs). We will discuss which clinical features of the disorders might be reproduced and investigated in vivo, ex vivo, and in vitro in models commonly used in MS research to understand the processes behind the neuropathological events occurring in the CNS of MS patients. The primary purpose of this review is to give the reader a global view of the main paradigms used in MS research, spacing from the classical animal models to transgenic mice and 2D and 3D cultures.
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Affiliation(s)
- S Dedoni
- Department of Biomedical Sciences, Division of Neuroscience and Clinical Pharmacology, University of Cagliari, Italy.
| | - M Scherma
- Department of Biomedical Sciences, Division of Neuroscience and Clinical Pharmacology, University of Cagliari, Italy.
| | - C Camoglio
- Department of Biomedical Sciences, Division of Neuroscience and Clinical Pharmacology, University of Cagliari, Italy.
| | - C Siddi
- Department of Biomedical Sciences, Division of Neuroscience and Clinical Pharmacology, University of Cagliari, Italy
| | - L Dazzi
- Department of Life and Environmental Sciences, Section of Neuroscience and Anthropology, University of Cagliari, Monserrato (Cagliari), Italy.
| | - R Puliga
- Department of Life and Environmental Sciences, Section of Neuroscience and Anthropology, University of Cagliari, Monserrato (Cagliari), Italy.
| | - J Frau
- Regional Multiple Sclerosis Center, ASSL Cagliari, ATS Sardegna, Italy
| | - E Cocco
- Regional Multiple Sclerosis Center, ASSL Cagliari, ATS Sardegna, Italy; Department Medical Science and Public Health, University of Cagliari, Italy.
| | - P Fadda
- Department of Biomedical Sciences, Division of Neuroscience and Clinical Pharmacology, University of Cagliari, Italy; Neuroscience Institute, Section of Cagliari, National Research Council of Italy (CNR), Cagliari, Italy.
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9
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Evans LM, Arehart CH, Grotzinger AD, Mize TJ, Brasher MS, Stitzel JA, Ehringer MA, Hoeffer CA. Transcriptome-wide gene-gene interaction associations elucidate pathways and functional enrichment of complex traits. PLoS Genet 2023; 19:e1010693. [PMID: 37216417 PMCID: PMC10237671 DOI: 10.1371/journal.pgen.1010693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 06/02/2023] [Accepted: 03/06/2023] [Indexed: 05/24/2023] Open
Abstract
It remains unknown to what extent gene-gene interactions contribute to complex traits. Here, we introduce a new approach using predicted gene expression to perform exhaustive transcriptome-wide interaction studies (TWISs) for multiple traits across all pairs of genes expressed in several tissue types. Using imputed transcriptomes, we simultaneously reduce the computational challenge and improve interpretability and statistical power. We discover (in the UK Biobank) and replicate (in independent cohorts) several interaction associations, and find several hub genes with numerous interactions. We also demonstrate that TWIS can identify novel associated genes because genes with many or strong interactions have smaller single-locus model effect sizes. Finally, we develop a method to test gene set enrichment of TWIS associations (E-TWIS), finding numerous pathways and networks enriched in interaction associations. Epistasis is may be widespread, and our procedure represents a tractable framework for beginning to explore gene interactions and identify novel genomic targets.
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Affiliation(s)
- Luke M. Evans
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States of America
- Department of Ecology & Evolutionary Biology, University of Colorado Boulder, Boulder, Colorado, United States of America
| | - Christopher H. Arehart
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States of America
- Department of Ecology & Evolutionary Biology, University of Colorado Boulder, Boulder, Colorado, United States of America
| | - Andrew D. Grotzinger
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States of America
- Department of Psychology & Neuroscience, University of Colorado Boulder, Boulder, Colorado, United States of America
| | - Travis J. Mize
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States of America
- Department of Ecology & Evolutionary Biology, University of Colorado Boulder, Boulder, Colorado, United States of America
| | - Maizy S. Brasher
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States of America
- Department of Ecology & Evolutionary Biology, University of Colorado Boulder, Boulder, Colorado, United States of America
| | - Jerry A. Stitzel
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States of America
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States of America
| | - Marissa A. Ehringer
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States of America
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States of America
| | - Charles A. Hoeffer
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States of America
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, United States of America
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10
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Stadinski BD, Cleveland SB, Brehm MA, Greiner DL, Huseby PG, Huseby ES. I-A g7 β56/57 polymorphisms regulate non-cognate negative selection to CD4 + T cell orchestrators of type 1 diabetes. Nat Immunol 2023; 24:652-663. [PMID: 36807641 PMCID: PMC10623581 DOI: 10.1038/s41590-023-01441-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 01/20/2023] [Indexed: 02/22/2023]
Abstract
Genetic susceptibility to type 1 diabetes is associated with homozygous expression of major histocompatibility complex class II alleles that carry specific beta chain polymorphisms. Why heterozygous expression of these major histocompatibility complex class II alleles does not confer a similar predisposition is unresolved. Using a nonobese diabetic mouse model, here we show that heterozygous expression of the type 1 diabetes-protective allele I-Ag7 β56P/57D induces negative selection to the I-Ag7-restricted T cell repertoire, including beta-islet-specific CD4+ T cells. Surprisingly, negative selection occurs despite I-Ag7 β56P/57D having a reduced ability to present beta-islet antigens to CD4+ T cells. Peripheral manifestations of non-cognate negative selection include a near complete loss of beta-islet-specific CXCR6+ CD4+ T cells, an inability to cross-prime islet-specific glucose-6-phosphatase catalytic subunit-related protein and insulin-specific CD8+ T cells and disease arrest at the insulitis stage. These data reveal that negative selection on non-cognate self-antigens in the thymus can promote T cell tolerance and protection from autoimmunity.
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Affiliation(s)
- Brian D Stadinski
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Sarah B Cleveland
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Michael A Brehm
- Department of Molecular Medicine, Diabetes Center of Excellence, University of Massachusetts Medical School, Worcester, MA, USA
| | - Dale L Greiner
- Department of Molecular Medicine, Diabetes Center of Excellence, University of Massachusetts Medical School, Worcester, MA, USA
| | - Priya G Huseby
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Eric S Huseby
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA, USA.
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11
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Abstract
Primary biliary cholangitis (PBC) is a rare disease of the liver characterized by an autoimmune attack on the small bile ducts. PBC is a complex trait, meaning that a large list of genetic factors interacts with environmental agents to determine its onset. Genome-wide association studies have had a huge impact in fostering research in PBC, but many steps need still to be done compared with other autoimmune diseases of similar prevalence. This review presents the state-of-the-art regarding the genetic architecture of PBC and provides some thoughtful reflections about possible future lines of research, which can be helpful to fill the missing heritability gap in PBC.
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Affiliation(s)
- Alessio Gerussi
- Division of Gastroenterology and Center for Autoimmune Liver Diseases, Department of Medicine and Surgery, University of Milano-Bicocca, Via Cadore 48, 20900 Monza (MB), Italy; European Reference Network on Hepatological Diseases (ERN RARE-LIVER), San Gerardo Hospital, Monza, Italy.
| | - Rosanna Asselta
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele 20072, Italy; Humanitas Clinical and Research Center, IRCCS, Via Manzoni 56, Rozzano 20089, Italy
| | - Pietro Invernizzi
- Division of Gastroenterology and Center for Autoimmune Liver Diseases, Department of Medicine and Surgery, University of Milano-Bicocca, Via Cadore 48, 20900 Monza (MB), Italy; European Reference Network on Hepatological Diseases (ERN RARE-LIVER), San Gerardo Hospital, Monza, Italy.
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12
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Abstract
BACKGROUND Autoimmune hepatitis has an unknown cause and genetic associations that are not disease-specific or always present. Clarification of its missing causality and heritability could improve prevention and management strategies. AIMS Describe the key epigenetic and genetic mechanisms that could account for missing causality and heritability in autoimmune hepatitis; indicate the prospects of these mechanisms as pivotal factors; and encourage investigations of their pathogenic role and therapeutic potential. METHODS English abstracts were identified in PubMed using multiple key search phases. Several hundred abstracts and 210 full-length articles were reviewed. RESULTS Environmental induction of epigenetic changes is the prime candidate for explaining the missing causality of autoimmune hepatitis. Environmental factors (diet, toxic exposures) can alter chromatin structure and the production of micro-ribonucleic acids that affect gene expression. Epistatic interaction between unsuspected genes is the prime candidate for explaining the missing heritability. The non-additive, interactive effects of multiple genes could enhance their impact on the propensity and phenotype of autoimmune hepatitis. Transgenerational inheritance of acquired epigenetic marks constitutes another mechanism of transmitting parental adaptations that could affect susceptibility. Management strategies could range from lifestyle adjustments and nutritional supplements to precision editing of the epigenetic landscape. CONCLUSIONS Autoimmune hepatitis has a missing causality that might be explained by epigenetic changes induced by environmental factors and a missing heritability that might reflect epistatic gene interactions or transgenerational transmission of acquired epigenetic marks. These unassessed or under-evaluated areas warrant investigation.
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13
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D'Silva S, Chakraborty S, Kahali B. Concurrent outcomes from multiple approaches of epistasis analysis for human body mass index associated loci provide insights into obesity biology. Sci Rep 2022; 12:7306. [PMID: 35508500 PMCID: PMC9068779 DOI: 10.1038/s41598-022-11270-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 04/18/2022] [Indexed: 12/13/2022] Open
Abstract
Genome wide association studies (GWAS) have focused on elucidating the genetic architecture of complex traits by assessing single variant effects in additive genetic models, albeit explaining a fraction of the trait heritability. Epistasis has recently emerged as one of the intrinsic mechanisms that could explain part of this missing heritability. We conducted epistasis analysis for genome-wide body mass index (BMI) associated SNPs in Alzheimer’s Disease Neuroimaging Initiative (ADNI) and followed up top significant interacting SNPs for replication in the UK Biobank imputed genotype dataset. We report two pairwise epistatic interactions, between rs2177596 (RHBDD1) and rs17759796 (MAPK1), rs1121980 (FTO) and rs6567160 (MC4R), obtained from a consensus of nine different epistatic approaches. Gene interaction maps and tissue expression profiles constructed for these interacting loci highlights co-expression, co-localisation, physical interaction, genetic interaction, and shared pathways emphasising the neuronal influence in obesity and implicating concerted expression of associated genes in liver, pancreas, and adipose tissues insinuating to metabolic abnormalities characterized by obesity. Detecting epistasis could thus be a promising approach to understand the effect of simultaneously interacting multiple genetic loci in disease aetiology, beyond single locus effects.
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Affiliation(s)
- Sheldon D'Silva
- Centre for Brain Research, Indian Institute of Science, Bangalore, 560012, India
| | - Shreya Chakraborty
- Centre for Brain Research, Indian Institute of Science, Bangalore, 560012, India.,Interdisciplinary Mathematical Sciences, Indian Institute of Science, Bangalore, 560012, India
| | - Bratati Kahali
- Centre for Brain Research, Indian Institute of Science, Bangalore, 560012, India.
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14
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Malyarchuk AB, Andreeva TV, Kuznetsova IL, Kunizheva SS, Protasova MS, Uralsky LI, Tyazhelova TV, Gusev FE, Manakhov AD, Rogaev EI. Genomics of Ancient Pathogens: First Advances and Prospects. BIOCHEMISTRY. BIOKHIMIIA 2022; 87:242-258. [PMID: 35526849 PMCID: PMC8916790 DOI: 10.1134/s0006297922030051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 01/08/2022] [Accepted: 01/21/2022] [Indexed: 11/23/2022]
Abstract
Paleogenomics is one of the urgent and promising areas of interdisciplinary research in the today's world science. New genomic methods of ancient DNA (aDNA) analysis, such as next generation sequencing (NGS) technologies, make it possible not only to obtain detailed genetic information about historical and prehistoric human populations, but also to study individual microbial and viral pathogens and microbiomes from different ancient and historical objects. Studies of aDNA of pathogens by reconstructing their genomes have so far yielded complete sequences of the ancient pathogens that played significant role in the history of the world: Yersinia pestis (plague), Variola virus (smallpox), Vibrio cholerae (cholera), HBV (hepatitis B virus), as well as the equally important endemic human infectious agents: Mycobacterium tuberculosis (tuberculosis), Mycobacterium leprae (leprosy), and Treponema pallidum (syphilis). Genomic data from these pathogens complemented the information previously obtained by paleopathologists and allowed not only to identify pathogens from the past pandemics, but also to recognize the pathogen lineages that are now extinct, to refine chronology of the pathogen appearance in human populations, and to reconstruct evolutionary history of the pathogens that are still relevant to public health today. In this review, we describe state-of-the-art genomic research of the origins and evolution of many ancient pathogens and viruses and examine mechanisms of the emergence and spread of the ancient infections in the mankind history.
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Affiliation(s)
- Alexandra B Malyarchuk
- Center for Genetics and Genetic Technologies, Faculty of Biology, Lomonosov Moscow State University, Moscow, 119234, Russia.
| | - Tatiana V Andreeva
- Center for Genetics and Genetic Technologies, Faculty of Biology, Lomonosov Moscow State University, Moscow, 119234, Russia
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119333, Russia
| | - Irina L Kuznetsova
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119333, Russia
- Center for Genetics and Life Science, Sirius University of Science and Technology, Sochi, 354340, Russia
| | - Svetlana S Kunizheva
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119333, Russia
- Center for Genetics and Life Science, Sirius University of Science and Technology, Sochi, 354340, Russia
| | - Maria S Protasova
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119333, Russia
| | - Lev I Uralsky
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119333, Russia
- Center for Genetics and Life Science, Sirius University of Science and Technology, Sochi, 354340, Russia
| | - Tatiana V Tyazhelova
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119333, Russia
| | - Fedor E Gusev
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119333, Russia
| | - Andrey D Manakhov
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119333, Russia
- Center for Genetics and Life Science, Sirius University of Science and Technology, Sochi, 354340, Russia
| | - Evgeny I Rogaev
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119333, Russia.
- Center for Genetics and Life Science, Sirius University of Science and Technology, Sochi, 354340, Russia
- Department of Psychiatry, UMass Chan Medical School, Shrewsbury, MA 01545, USA
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15
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Laaker C, Hsu M, Fabry Z, Miller SD, Karpus WJ. Experimental Autoimmune Encephalomyelitis in the Mouse. Curr Protoc 2021; 1:e300. [PMID: 34870897 DOI: 10.1002/cpz1.300] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
This article details the materials and methods required for both active induction and adoptive transfer of experimental autoimmune encephalomyelitis (EAE) in the SJL mouse strain using intact proteins or peptides from the two major myelin proteins: proteolipid protein (PLP) and myelin basic protein (MBP). Additionally, active induction of EAE in the C57BL/6 strain using myelin oligodendrocyte glycoprotein (MOG) peptide is also discussed. Detailed materials and methods required for the purification of both PLP and MBP are described, and a protocol for isolating CNS-infiltrating lymphocytes in EAE mice is included. Modifications of the specified protocols may be necessary for efficient induction of active or adoptive EAE in other mouse strains. © 2021 Wiley Periodicals LLC. Basic Protocol: Active induction of EAE with PLP, MBP, and MOG protein or peptide Alternate Protocol: Adoptive induction of EAE with PLP-, MBP-, or MOG-specific lymphocytes Support Protocol 1: Purification of proteolipid protein Support Protocol 2: Purification of myelin basic protein Support Protocol 3: Isolation of CNS-infiltrating lymphocytes.
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Affiliation(s)
- Collin Laaker
- Department of Pathology and Lab Medicine, University of Wisconsin-Madison, Madison, Wisconsin
| | - Martin Hsu
- Department of Pathology and Lab Medicine, University of Wisconsin-Madison, Madison, Wisconsin
| | - Zsuzsanna Fabry
- Department of Pathology and Lab Medicine, University of Wisconsin-Madison, Madison, Wisconsin
| | - Stephen D Miller
- Department of Microbiology-Immunology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - William J Karpus
- Department of Pathology and Lab Medicine, University of Wisconsin-Madison, Madison, Wisconsin
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16
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Wang T, Qi J, Li H, Chen L, Liu S, Shen C. Human leukocyte antigen class I association with occult hepatitis B virus infection in the Shaanxi Han group: Analysis at the haplotype level. J Gene Med 2021; 24:e3393. [PMID: 34643983 DOI: 10.1002/jgm.3393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 08/25/2021] [Accepted: 10/08/2021] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Human leucocyte antigen (HLA) class I genes and haplotypes correlate with hepatitis B virus (HBV) infection. Occult HBV infection (OBI), a special type of chronic HBV infection, is defined as HBV surface antigen negative patients with or those without serologic markers by the means of HBV DNA detection in human plasma or in liver tissue by a diagnostic test. So far, the associations of HLA I haplotypes with OBI have not been reported previously in China. METHODS A case-control study between 107 OBI subjects and 280 healthy controls from blood donors in the Blood Center of the Shaanxi Province was conducted in the present association analysis. The HLA-A, -B and -C loci of case-control subjects were detected and genotyped by polymerase chain reaction-sequence based typing. The HLA-A, -B and -C haplotypic frequencies were calculated by the maximum likelihood method. RESULTS The HLA-A*33:03-C*07:01G (pc = 0.039, odds ratio [OR] = 8.996, 95% confidence interval [CI] = 1.825-44.338), B*44:03-C*07:01G (pc = 0.0069, OR = 12.000, 95% CI = 2.507-57.436) and A*33:03-B*44:03-C*07:01G (pc = 0.04, OR = 7.094, 95% CI = 1.387-36.288) haplotypes showed a a significant positive association with OBI. Independent effects demonstrated that HLA-B*44:03 and HLA-C*07:01G gave the main contribution to risk, whereas HLA-A*33:03 was associated only by linkage disequilibrium. CONCLUSIONS This present study is the first to demonstrate that HLA I haplotypes are associated with OBI in the Shaanxi Han population. The present results suggest that HLA-B*44:03-C*07:01G might be a potential risk factor for OBI. Comparisons of the frequencies of HLA I haplotypes at high resolution were made between OBI from northern Chinese Han and controls. Frequencies of HLA-A-B, A-C, B-C, A-B-C between the OBI group (gray column) and the control group (blank column) were compared. Haplotypes with p < 0.05 in either group were shown. p values for multiple comparisons (pc ) were corrected by Bonferroni correction (*pc < 0.05).
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Affiliation(s)
- Tianju Wang
- HLA Typing Laboratory, Blood Center of the Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an, Shaanxi Province, China
| | - Jun Qi
- HLA Typing Laboratory, Blood Center of the Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an, Shaanxi Province, China
| | - Hengxin Li
- HLA Typing Laboratory, Blood Center of the Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an, Shaanxi Province, China
| | - Liping Chen
- HLA Typing Laboratory, Blood Center of the Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an, Shaanxi Province, China
| | - Sheng Liu
- HLA Typing Laboratory, Blood Center of the Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an, Shaanxi Province, China
| | - Chunmei Shen
- HLA Typing Laboratory, Blood Center of the Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an, Shaanxi Province, China
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17
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The genetic architecture of primary biliary cholangitis. Eur J Med Genet 2021; 64:104292. [PMID: 34303876 DOI: 10.1016/j.ejmg.2021.104292] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 07/03/2021] [Accepted: 07/21/2021] [Indexed: 12/12/2022]
Abstract
Primary biliary cholangitis (PBC) is a rare autoimmune disease of the liver affecting the small bile ducts. From a genetic point of view, PBC is a complex trait and several genetic and environmental factors have been called in action to explain its etiopathogenesis. Similarly to other complex traits, PBC has benefited from the introduction of genome-wide association studies (GWAS), which identified many variants predisposing or protecting toward the development of the disease. While a progressive endeavour toward the characterization of candidate loci and downstream pathways is currently ongoing, there is still a relatively large portion of heritability of PBC to be revealed. In addition, genetic variation behind progression of the disease and therapeutic response are mostly to be investigated yet. This review outlines the state-of-the-art regarding the genetic architecture of PBC and provides some hints for future investigations, focusing on the study of gene-gene interactions, the application of whole-genome sequencing techniques, and the investigation of X chromosome that can be helpful to cover the missing heritability gap in PBC.
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18
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Abstract
Quantitative genetics has evolved dramatically in the past century, and the proliferation of genetic data, in quantity as well as type, enables the characterization of complex interactions and mechanisms beyond the scope of its theoretical foundations. In this article, we argue that revisiting the framework for analysis is important and we begin to lay the foundations of an alternative formulation of quantitative genetics based on information theory. Information theory can provide sensitive and unbiased measures of statistical dependencies among variables, and it provides a natural mathematical language for an alternative view of quantitative genetics. In the previous work, we examined the information content of discrete functions and applied this approach and methods to the analysis of genetic data. In this article, we present a framework built around a set of relationships that both unifies the information measures for the discrete functions and uses them to express key quantitative genetic relationships. Information theory measures of variable interdependency are used to identify significant interactions, and a general approach is described for inferring functional relationships in genotype and phenotype data. We present information-based measures of the genetic quantities: penetrance, heritability, and degrees of statistical epistasis. Our scope here includes the consideration of both two- and three-variable dependencies and independently segregating variants, which captures additive effects, genetic interactions, and two-phenotype pleiotropy. This formalism and the theoretical approach naturally apply to higher multivariable interactions and complex dependencies, and can be adapted to account for population structure, linkage, and nonrandomly segregating markers. This article thus focuses on presenting the initial groundwork for a full formulation of quantitative genetics based on information theory.
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Affiliation(s)
- David J. Galas
- Pacific Northwest Research Institute, Seattle, Washington, USA
| | | | - Lisa Uechi
- Pacific Northwest Research Institute, Seattle, Washington, USA
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Martin R, Sospedra M, Eiermann T, Olsson T. Multiple sclerosis: doubling down on MHC. Trends Genet 2021; 37:784-797. [PMID: 34006391 DOI: 10.1016/j.tig.2021.04.012] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 04/18/2021] [Accepted: 04/19/2021] [Indexed: 01/12/2023]
Abstract
Human leukocyte antigen (HLA)-encoded surface molecules present antigenic peptides to T lymphocytes and play a key role in adaptive immune responses. Besides their physiological role of defending the host against infectious pathogens, specific alleles serve as genetic risk factors for autoimmune diseases. For multiple sclerosis (MS), an autoimmune disease that affects the brain and spinal cord, an association with the HLA-DR15 haplotype was described in the early 1970s. This short opinion piece discusses the difficulties of disentangling the details of this association and recent observations about the functional involvement of not only one, but also the second gene of the HLA-DR15 haplotype. This information is not only important for understanding the pathomechanism of MS, but also for antigen-specific therapies.
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Affiliation(s)
- Roland Martin
- Neuroimmunology and Multiple Sclerosis Research, Neurology Clinic, Frauenklinikstrasse 26, 8091 Zurich, University Hospital Zurich, University Zurich, Switzerland.
| | - Mireia Sospedra
- Neuroimmunology and Multiple Sclerosis Research, Neurology Clinic, Frauenklinikstrasse 26, 8091 Zurich, University Hospital Zurich, University Zurich, Switzerland
| | - Thomas Eiermann
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany
| | - Tomas Olsson
- Neuroimmunology Unit, Department of Clinical Neuroscience, Karolinska Institutet, 17176 Stockholm, Sweden
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20
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Delfan N, Galehdari H, Ghanbari Mardasi F, Zabihi R, Latifi Pakdehi T, Seifi T, Majdinasab N. Association of HLA-DR2-Related Haplotype (HLA-DRB5*01-DRB1*1501-DQB1*0602) in Patients with Multiple Sclerosis in Khuzestan Province. IRANIAN JOURNAL OF CHILD NEUROLOGY 2021; 15:35-46. [PMID: 34282361 PMCID: PMC8272550 DOI: 10.22037/ijcn.v14i4.18795] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/14/2017] [Accepted: 01/01/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVE Multiple sclerosis (MS) is a partially heritable autoimmune disease. HLA-DR2 is the largest identified genetic risk factor for MS. The largest identified genetic risk factor is haplotype from the MHC class II HLA-DR2, which increases the disease risk. The HLA-DR2 distribution in MS patients has been confirmed, but contradictory outcomes have been found. Moreover, the HLA-DR2 effect on ethnicity and gender is unclear. There are no data regarding the HLA-DR2 (HLA-DRB1*1501-DRB5*01-DQB1*0602) association with MS in Khuzestan Province, Iran. This study aimed to investigate the association of HLA-DR2 with MS regarding both sex and ethnicity in this province. MATERIALS & METHODS A total of 399 individuals were recruited. HLA typing was conducted using the polymerase chain reaction amplification with sequence-specific primers technology. The HLA-DR2 association with MS was analyzed, and also its probable association with gender, ethnicity, the expanded disability status scale (EDSS), and MS clinical course was examined using the Chi-square test. RESULTS HLA-DRB5*01 - -DQB1*0602 - as the most common HLA haplotype was found in both patient and control groups. In contrast, the DRB5*01 + -DRB1*1501 + -DQB1*0602 - frequency was very low in the groups. It was observed that haplotypes had no association with MS susceptibility. Most of the haplotypes showed no association with ethnicity, sex, EDSS, and MS course except for the HLA-DRB5*01 + -DRB1*1501 + -DQB1*0602 - haplotype that was positively associated with EDSS steps 5 to 10 (p=0.014) and non-RRMS (p=0.023). CONCLUSION There was no association between HLA-DR2 and MS susceptibility. However, the higher HLA-DRB5*01 + -DRB1*1501 + -DQB1*0602 - frequency may play a role in MS development. Also, HLA-DR2 did not increase significantly concerning clinical course, ethnicity, sex, and EDSS. This study further supports the importance of replication studies as susceptible loci that might differ in various ethnicities. Therefore, it is concluded that the association between HLA-DR2 and MS is more allelic than haplotypic in Khuzestan.
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Affiliation(s)
- Nooshin Delfan
- Department of Genetics, Faculty of Sciences, Shahid Chamran University of Ahvaz, Ahvaz Iran
| | - Hamid Galehdari
- Department of Genetics, Faculty of Sciences, Shahid Chamran University of Ahvaz, Ahvaz Iran
| | | | - Rezvan Zabihi
- Department of Genetics, Faculty of Sciences, Shahid Chamran University of Ahvaz, Ahvaz Iran
| | - Tahereh Latifi Pakdehi
- Department of Genetics, Faculty of Sciences, Shahid Chamran University of Ahvaz, Ahvaz Iran
| | - Tahereh Seifi
- Department of Genetics, Faculty of Sciences, Shahid Chamran University of Ahvaz, Ahvaz Iran
| | - Nastaran Majdinasab
- Department of Neurology, Jondishapour University of Medical Sciences, Musculoskeletal Rehabilitation Research Center, Ahvaz, Iran
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21
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Chase Huizar C, Raphael I, Forsthuber TG. Genomic, proteomic, and systems biology approaches in biomarker discovery for multiple sclerosis. Cell Immunol 2020; 358:104219. [PMID: 33039896 PMCID: PMC7927152 DOI: 10.1016/j.cellimm.2020.104219] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 09/13/2020] [Accepted: 09/16/2020] [Indexed: 12/12/2022]
Abstract
Multiple sclerosis (MS) is a neuroinflammatory disorder characterized by autoimmune-mediated inflammatory lesions in CNS leading to myelin damage and axonal loss. MS is a heterogenous disease with variable and unpredictable disease course. Due to its complex nature, MS is difficult to diagnose and responses to specific treatments may vary between individuals. Therefore, there is an indisputable need for biomarkers for early diagnosis, prediction of disease exacerbations, monitoring the progression of disease, and for measuring responses to therapy. Genomic and proteomic studies have sought to understand the molecular basis of MS and find biomarker candidates. Advances in next-generation sequencing and mass-spectrometry techniques have yielded an unprecedented amount of genomic and proteomic data; yet, translation of the results into the clinic has been underwhelming. This has prompted the development of novel data science techniques for exploring these large datasets to identify biologically relevant relationships and ultimately point towards useful biomarkers. Herein we discuss optimization of omics study designs, advances in the generation of omics data, and systems biology approaches aimed at improving biomarker discovery and translation to the clinic for MS.
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Affiliation(s)
- Carol Chase Huizar
- Department of Biology, University of Texas at San Antonio, San Antonio, TX, USA
| | - Itay Raphael
- Department of Neurological Surgery, University of Pittsburgh, UPMC Children's Hospital, Pittsburgh, PA, USA.
| | - Thomas G Forsthuber
- Department of Biology, University of Texas at San Antonio, San Antonio, TX, USA.
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22
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Wang J, Jelcic I, Mühlenbruch L, Haunerdinger V, Toussaint NC, Zhao Y, Cruciani C, Faigle W, Naghavian R, Foege M, Binder TMC, Eiermann T, Opitz L, Fuentes-Font L, Reynolds R, Kwok WW, Nguyen JT, Lee JH, Lutterotti A, Münz C, Rammensee HG, Hauri-Hohl M, Sospedra M, Stevanovic S, Martin R. HLA-DR15 Molecules Jointly Shape an Autoreactive T Cell Repertoire in Multiple Sclerosis. Cell 2020; 183:1264-1281.e20. [PMID: 33091337 PMCID: PMC7707104 DOI: 10.1016/j.cell.2020.09.054] [Citation(s) in RCA: 123] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 08/04/2020] [Accepted: 09/18/2020] [Indexed: 12/16/2022]
Abstract
The HLA-DR15 haplotype is the strongest genetic risk factor for multiple sclerosis (MS), but our understanding of how it contributes to MS is limited. Because autoreactive CD4+ T cells and B cells as antigen-presenting cells are involved in MS pathogenesis, we characterized the immunopeptidomes of the two HLA-DR15 allomorphs DR2a and DR2b of human primary B cells and monocytes, thymus, and MS brain tissue. Self-peptides from HLA-DR molecules, particularly from DR2a and DR2b themselves, are abundant on B cells and thymic antigen-presenting cells. Furthermore, we identified autoreactive CD4+ T cell clones that can cross-react with HLA-DR-derived self-peptides (HLA-DR-SPs), peptides from MS-associated foreign agents (Epstein-Barr virus and Akkermansia muciniphila), and autoantigens presented by DR2a and DR2b. Thus, both HLA-DR15 allomorphs jointly shape an autoreactive T cell repertoire by serving as antigen-presenting structures and epitope sources and by presenting the same foreign peptides and autoantigens to autoreactive CD4+ T cells in MS. HLA-DR15 present abundant HLA-DR-derived self-peptides on B cells Autoreactive T cells in MS recognize HLA-DR-derived self-peptides/DR15 complexes Foreign peptides/DR15 complexes trigger potential autoreactive T cells in MS HLA-DR15 shape an autoreactive T cell repertoire by cross-reactivity/restriction
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Affiliation(s)
- Jian Wang
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich 8091, Switzerland
| | - Ivan Jelcic
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich 8091, Switzerland
| | - Lena Mühlenbruch
- Department of Immunology, Institute of Cell Biology, University of Tübingen, Tübingen 72076, Germany; German Cancer Consortium (DKTK), Partner Site Tübingen, Tübingen 72076, Germany; Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies," University of Tübingen, Tübingen 72076, Germany
| | - Veronika Haunerdinger
- Pediatric Stem Cell Transplantation, University Children's Hospital Zurich, Zurich 8032, Switzerland
| | - Nora C Toussaint
- NEXUS Personalized Health Technologies, ETH Zurich, Zurich 8093, Switzerland; Swiss Institute of Bioinformatics, Zurich, Switzerland
| | - Yingdong Zhao
- Biometric Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Rockville, MD 20850, USA
| | - Carolina Cruciani
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich 8091, Switzerland
| | - Wolfgang Faigle
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich 8091, Switzerland
| | - Reza Naghavian
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich 8091, Switzerland
| | - Magdalena Foege
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich 8091, Switzerland
| | - Thomas M C Binder
- HLA Laboratory of the Stefan Morsch Foundation (SMS), Birkenfeld 55765, Germany
| | - Thomas Eiermann
- Department of Transfusion Medicine, University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany
| | - Lennart Opitz
- Functional Genomics Center Zurich, Swiss Federal Institute of Technology and University of Zurich, Zurich 8057, Switzerland
| | - Laura Fuentes-Font
- Division of Neuroscience, Department of Brain Sciences, Imperial College London, London, UK
| | - Richard Reynolds
- Division of Neuroscience, Department of Brain Sciences, Imperial College London, London, UK
| | - William W Kwok
- Benaroya Research Institute at Virginia Mason, Seattle, WA 98101, USA
| | - Julie T Nguyen
- One Lambda, Inc., a part of Transplant Diagnostics Thermo Fisher Scientific, 22801 Roscoe Blvd., West Hills, CA 91304, USA
| | - Jar-How Lee
- One Lambda, Inc., a part of Transplant Diagnostics Thermo Fisher Scientific, 22801 Roscoe Blvd., West Hills, CA 91304, USA
| | - Andreas Lutterotti
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich 8091, Switzerland
| | - Christian Münz
- Viral Immunobiology, Institute of Experimental Immunology, University of Zurich, Zurich 8057, Switzerland
| | - Hans-Georg Rammensee
- Department of Immunology, Institute of Cell Biology, University of Tübingen, Tübingen 72076, Germany; German Cancer Consortium (DKTK), Partner Site Tübingen, Tübingen 72076, Germany; Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies," University of Tübingen, Tübingen 72076, Germany
| | - Mathias Hauri-Hohl
- Pediatric Stem Cell Transplantation, University Children's Hospital Zurich, Zurich 8032, Switzerland
| | - Mireia Sospedra
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich 8091, Switzerland
| | - Stefan Stevanovic
- Department of Immunology, Institute of Cell Biology, University of Tübingen, Tübingen 72076, Germany; German Cancer Consortium (DKTK), Partner Site Tübingen, Tübingen 72076, Germany; Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies," University of Tübingen, Tübingen 72076, Germany
| | - Roland Martin
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich 8091, Switzerland.
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23
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Faber H, Kurtoic D, Krishnamoorthy G, Weber P, Pütz B, Müller-Myhsok B, Weber F, Andlauer TFM. Gene Expression in Spontaneous Experimental Autoimmune Encephalomyelitis Is Linked to Human Multiple Sclerosis Risk Genes. Front Immunol 2020; 11:2165. [PMID: 33072080 PMCID: PMC7531036 DOI: 10.3389/fimmu.2020.02165] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 08/10/2020] [Indexed: 12/23/2022] Open
Abstract
Recent genome-wide association studies have identified over 230 genetic risk loci for multiple sclerosis. Current experimental autoimmune encephalomyelitis (EAE) models requiring active induction of disease may not be optimally suited for the characterization of the function of these genes. We have thus used gene expression profiling to study whether spontaneous opticospinal EAE (OSE) or MOG-induced EAE mirrors the genetic contribution to the pathogenesis of multiple sclerosis more faithfully. To this end, we compared gene expression in OSE and MOG EAE models and analyzed the relationship of both models to human multiple sclerosis risk genes and T helper cell biology. We observed stronger gene expression changes and an involvement of more pathways of the adaptive immune system in OSE than MOG EAE. Furthermore, we demonstrated a more extensive enrichment of human MS risk genes among transcripts differentially expressed in OSE than was the case for MOG EAE. Transcripts differentially expressed only in diseased OSE mice but not in MOG EAE were significantly enriched for T helper cell-specific transcripts. These transcripts are part of immune-regulatory pathways. The activation of the adaptive immune system and the enrichment of both human multiple sclerosis risk genes and T helper cell-specific transcripts were also observed in OSE mice showing only mild disease signs. These expression changes may, therefore, be indicative of processes at disease onset. In summary, more human multiple sclerosis risk genes were differentially expressed in OSE than was observed for MOG EAE, especially in TH1 cells. When studying the functional role of multiple sclerosis risk genes and pathways during disease onset and their interactions with the environment, spontaneous OSE may thus show advantages over MOG-induced EAE.
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Affiliation(s)
- Hans Faber
- Max Planck Institute of Psychiatry, Munich, Germany
| | | | | | - Peter Weber
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Benno Pütz
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Bertram Müller-Myhsok
- Max Planck Institute of Psychiatry, Munich, Germany.,Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Frank Weber
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Till F M Andlauer
- Max Planck Institute of Psychiatry, Munich, Germany.,Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
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24
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Susukida T, Aoki S, Shirayanagi T, Yamada Y, Kuwahara S, Ito K. HLA transgenic mice: application in reproducing idiosyncratic drug toxicity. Drug Metab Rev 2020; 52:540-567. [PMID: 32847422 DOI: 10.1080/03602532.2020.1800725] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Various types of transgenic mice carrying either class I or II human leukocyte antigen (HLA) molecules are readily available, and reports describing their use in a variety of studies have been published for more than 30 years. Examples of their use include the discovery of HLA-specific antigens against viral infection as well as the reproduction of HLA-mediated autoimmune diseases for the development of therapeutic strategies. Recently, HLA transgenic mice have been used to reproduce HLA-mediated idiosyncratic drug toxicity (IDT), a rare and unpredictable adverse drug reaction that can result in death. For example, abacavir-induced IDT has successfully been reproduced in HLA-B*57:01 transgenic mice. Several reports using HLA transgenic mice for IDT have proven the utility of this concept for the evaluation of IDT using various HLA allele combinations and drugs. It has become apparent that such models may be a valuable tool to investigate the mechanisms underlying HLA-mediated IDT. This review summarizes the latest findings in the area of HLA transgenic mouse models and discusses the current challenges that must be overcome to maximize the potential of this unique animal model.
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Affiliation(s)
- Takeshi Susukida
- Laboratory of Biopharmaceutics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan.,Laboratory of Cancer Biology and Immunology, Section of Host Defenses, Institute of Natural Medicine, University of Toyama, Toyama, Japan
| | - Shigeki Aoki
- Laboratory of Biopharmaceutics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan
| | - Tomohiro Shirayanagi
- Laboratory of Biopharmaceutics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan
| | - Yushiro Yamada
- Laboratory of Biopharmaceutics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan
| | - Saki Kuwahara
- Laboratory of Biopharmaceutics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan
| | - Kousei Ito
- Laboratory of Biopharmaceutics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan
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25
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Abstract
Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system. We review the two core MS features, myelin instability, fragmentation, and remyelination failure, and dominance of pathogenic CD4+ Th17 cells over protective CD4+ Treg cells. To better understand myelin pathology, we describe myelin biosynthesis, structure, and function, then highlight stearoyl-CoA desaturase (SCD) in nervonic acid biosynthesis and nervonic acid's contribution to myelin stability. Noting that vitamin D deficiency decreases SCD in the periphery, we propose it also decreases SCD in oligodendrocytes, disrupting the nervonic acid supply and causing myelin instability and fragmentation. To better understand the distorted Th17/Treg cell balance, we summarize Th17 cell contributions to MS pathogenesis, then highlight how 1,25-dihydroxyvitamin D3 signaling from microglia to CD4+ T cells restores Treg cell dominance. This signaling rapidly increases flux through the methionine cycle, removing homocysteine, replenishing S-adenosyl-methionine, and improving epigenetic marking. Noting that DNA hypomethylation and inappropriate DRB1*1501 expression were observed in MS patient CD4+ T cells, we propose that vitamin D deficiency thwarts epigenetic downregulation of DRB1*1501 and Th17 cell signature genes, and upregulation of Treg cell signature genes, causing dysregulation within the CD4+ T cell compartment. We explain how obesity reduces vitamin D status, and how estrogen and vitamin D collaborate to promote Treg cell dominance in females. Finally, we discuss the implications of this new knowledge concerning myelin and the Th17/Treg cell balance, and advocate for efforts to address the global epidemics of obesity and vitamin D deficiency in the expectation of reducing the impact of MS.
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Affiliation(s)
- Colleen E. Hayes
- Department of Biochemistry, College of Agricultural and Life Sciences, University of Wisconsin-Madison, 433 Babcock Drive, Madison, WI 53706, USA
| | - James M. Ntambi
- Department of Biochemistry, College of Agricultural and Life Sciences, University of Wisconsin-Madison, 433 Babcock Drive, Madison, WI 53706, USA
- Department of Nutritional Sciences, University of Wisconsin-Madison, 1415 Linden Drive, Madison, WI 53706, USA
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26
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Chow IT, Gates TJ, Papadopoulos GK, Moustakas AK, Kolawole EM, Notturno RJ, McGinty JW, Torres-Chinn N, James EA, Greenbaum C, Nepom GT, Evavold BD, Kwok WW. Discriminative T cell recognition of cross-reactive islet-antigens is associated with HLA-DQ8 transdimer-mediated autoimmune diabetes. SCIENCE ADVANCES 2019; 5:eaaw9336. [PMID: 31457096 PMCID: PMC6703875 DOI: 10.1126/sciadv.aaw9336] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Accepted: 07/11/2019] [Indexed: 05/04/2023]
Abstract
Human leukocyte antigen (HLA)-DQ8 transdimer (HLA-DQA1*0501/DQB1*0302) confers exceptionally high risk in autoimmune diabetes. However, little is known about HLA-DQ8 transdimer-restricted CD4 T cell recognition, an event crucial for triggering HLA-DQ8 transdimer-specific anti-islet immunity. Here, we report a high degree of epitope overlap and T cell promiscuity between susceptible HLA-DQ8 and HLA-DQ8 transdimer. Despite preservation of putative residues for T cell receptor (TCR) contact, stronger disease-associated responses to cross-reactive, immunodominant islet epitopes are elicited by HLA-DQ8 transdimer. Mutagenesis at the α chain of HLA-DQ8 transdimer in complex with the disease-relevant GAD65250-266 peptide and in silico analysis reveal the DQ α52 residue located within the N-terminal edge of the peptide-binding cleft for the enhanced T cell reactivity, altering avidity and biophysical affinity between TCR and HLA-peptide complexes. Accordingly, a structurally promiscuous but nondegenerate TCR-HLA-peptide interface is pivotal for HLA-DQ8 transdimer-mediated autoimmune diabetes.
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Affiliation(s)
- I-Ting Chow
- Benaroya Research Institute at Virginia Mason, 1201 9th Ave., Seattle, WA 98101, USA
| | - Theresa J. Gates
- Benaroya Research Institute at Virginia Mason, 1201 9th Ave., Seattle, WA 98101, USA
| | - George K. Papadopoulos
- Laboratory of Biophysics, Biochemistry, Bioprocessing and Bioproducts, Faculty of Agricultural Technology, Technological Educational Institute of Epirus, GR47100 Arta, Greece
| | - Antonis K. Moustakas
- Department of Food Technology, Ionian University, GR28100 Argostoli, Cephallonia, Greece
| | - Elizabeth M. Kolawole
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT 84132, USA
| | - Richard J. Notturno
- Benaroya Research Institute at Virginia Mason, 1201 9th Ave., Seattle, WA 98101, USA
| | - John W. McGinty
- Benaroya Research Institute at Virginia Mason, 1201 9th Ave., Seattle, WA 98101, USA
| | - Nadia Torres-Chinn
- Benaroya Research Institute at Virginia Mason, 1201 9th Ave., Seattle, WA 98101, USA
| | - Eddie A. James
- Benaroya Research Institute at Virginia Mason, 1201 9th Ave., Seattle, WA 98101, USA
| | - Carla Greenbaum
- Benaroya Research Institute at Virginia Mason, 1201 9th Ave., Seattle, WA 98101, USA
| | - Gerald T. Nepom
- Benaroya Research Institute at Virginia Mason, 1201 9th Ave., Seattle, WA 98101, USA
- Department of Immunology, University of Washington, Seattle, WA 98195, USA
| | - Brian D. Evavold
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT 84132, USA
| | - William W. Kwok
- Benaroya Research Institute at Virginia Mason, 1201 9th Ave., Seattle, WA 98101, USA
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
- Corresponding author.
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27
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Barsakis K, Babrzadeh F, Chi A, Mallempati K, Pickle W, Mindrinos M, Fernández-Viña MA. Complete nucleotide sequence characterization of DRB5 alleles reveals a homogeneous allele group that is distinct from other DRB genes. Hum Immunol 2019; 80:437-448. [PMID: 30954494 PMCID: PMC6622178 DOI: 10.1016/j.humimm.2019.04.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Revised: 03/23/2019] [Accepted: 04/01/2019] [Indexed: 01/28/2023]
Abstract
Next Generation Sequencing allows for testing and typing of entire genes of the HLA region. A better and comprehensive sequence assessment can be achieved by the inclusion of full gene sequences of all the common alleles at a given locus. The common alleles of DRB5 are under-characterized with the full exon-intron sequence of two alleles available. In the present study the DRB5 genes from 18 subjects alleles were cloned and sequenced; haplotype analysis showed that 17 of them had a single copy of DRB5 and one consanguineous subject was homozygous at all HLA loci. Methodological approaches including robust and efficient long-range PCR amplification, molecular cloning, nucleotide sequencing and de novo sequence assembly were combined to characterize DRB5 alleles. DRB5 sequences covering from 5'UTR to the end of intron 5 were obtained for DRB5*01:01, 01:02 and 02:02; partial coverage including a segment spanning exon 2 to exon 6 was obtained for DRB5*01:03, 01:08N and 02:03. Phylogenetic analysis of the generated sequences showed that the DRB5 alleles group together and have distinctive differences with other DRB loci. Novel intron variants of DRB5*01:01:01, 01:02 and 02:02 were identified. The newly characterized DRB5 intron variants of each DRB5 allele were found in subjects harboring distinct associations with alleles of DRB1, B and/or ethnicity. The new information provided by this study provides reference sequences for HLA typing methodologies. Extending sequence coverage may lead to identify the disease susceptibility factors of DRB5 containing haplotypes while the unexpected intron variations may shed light on understanding of the evolution of the DRB region.
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Affiliation(s)
- Konstantinos Barsakis
- Stanford Blood Center, Stanford University School of Medicine, Palo Alto, CA 94304, USA; Department of Biology, University of Crete, Heraklion, Crete 71003, Greece
| | - Farbod Babrzadeh
- Stanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, CA 94304, USA
| | - Anjo Chi
- Stanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, CA 94304, USA
| | - Kalyan Mallempati
- Stanford Blood Center, Stanford University School of Medicine, Palo Alto, CA 94304, USA
| | - William Pickle
- Stanford Blood Center, Stanford University School of Medicine, Palo Alto, CA 94304, USA
| | - Michael Mindrinos
- Stanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, CA 94304, USA
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28
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Wang Z, Gao G, Duan C, Yang H. Progress of immunotherapy of anti-α-synuclein in Parkinson's disease. Biomed Pharmacother 2019; 115:108843. [PMID: 31055236 DOI: 10.1016/j.biopha.2019.108843] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Revised: 03/14/2019] [Accepted: 03/31/2019] [Indexed: 12/12/2022] Open
Abstract
Many neurodegenerative diseases are characterized by progressive loss of neurons and abnormal protein accumulation, including amyloid (A)β and tau in Alzheimer's disease and Lewy bodies and α-synuclein (α-syn) in Parkinson's disease (PD). Recent evidence suggests that adaptive immunity plays an important role in PD, and that anti-α-syn antibodies can be used as therapy in neurodegenerative diseases; monoclonal antibodies were shown to inhibit α-syn propagation and aggregation in PD models and patients. In this review, we summarize the different pathological states of α-syn, including gene mutations, truncation, phosphorylation, and the high molecular weight form, and describe the specific antibodies that recognize the α-syn monomer or oligomer, some of which have been tested in clinic trials. We also discuss future research directions and potential targets in PD therapy.
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Affiliation(s)
- Zhipeng Wang
- Department of Neurobiology School of Basic Medical Sciences, Center of Parkinson Disease Beijing Institute for Brain Disorders, Beijing Key Laboratory for Neural Regeneration and Repair, Beijing Key Laboratory on Parkinson's Disease, Key Laboratory for Neurodegenerative Disease of the Ministry of Education, Capital Medical University, Beijing, 100069, China
| | - Ge Gao
- Department of Neurobiology School of Basic Medical Sciences, Center of Parkinson Disease Beijing Institute for Brain Disorders, Beijing Key Laboratory for Neural Regeneration and Repair, Beijing Key Laboratory on Parkinson's Disease, Key Laboratory for Neurodegenerative Disease of the Ministry of Education, Capital Medical University, Beijing, 100069, China
| | - Chunli Duan
- Department of Neurobiology School of Basic Medical Sciences, Center of Parkinson Disease Beijing Institute for Brain Disorders, Beijing Key Laboratory for Neural Regeneration and Repair, Beijing Key Laboratory on Parkinson's Disease, Key Laboratory for Neurodegenerative Disease of the Ministry of Education, Capital Medical University, Beijing, 100069, China
| | - Hui Yang
- Department of Neurobiology School of Basic Medical Sciences, Center of Parkinson Disease Beijing Institute for Brain Disorders, Beijing Key Laboratory for Neural Regeneration and Repair, Beijing Key Laboratory on Parkinson's Disease, Key Laboratory for Neurodegenerative Disease of the Ministry of Education, Capital Medical University, Beijing, 100069, China.
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29
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Gregersen JW, Erikstrup C, Ivarsen P, Glerup R, Krarup E, Keller KK, Hansen IT, Møller BK. PR3-ANCA-associated vasculitis is associated with a specific motif in the peptide-binding cleft of HLA-DP molecules. Rheumatology (Oxford) 2019; 58:1942-1949. [DOI: 10.1093/rheumatology/kez111] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Revised: 02/19/2019] [Indexed: 02/07/2023] Open
Abstract
Abstract
Objectives
This study aimed to characterize the association between HLA alleles and ANCA-associated vasculitis (AAV) in a genetically homogeneous population, and to analyse the contribution of specific HLA molecule amino acid sequences to the risk of AAV.
Methods
We included 187 Danish patients with AAV and 1070 healthy controls. All were HLA typed at two-field resolution. The association of HLA alleles to PR3- or MPO-AAV was analysed. The contribution of the dominant molecular motifs of the HLA-DPB1 molecule to the risk of AAV was investigated by association studies that included specific amino acid sequences of the hypervariable regions in exon 2.
Results
Ninety-four percent of patients with PR3-AAV were carriers of HLA-DPB1*04:01 while all patients with PR3-AAV were carriers of an HLA-DPB1*04 allele, and 85% were homozygous. This was significantly more than in the control group (P < 0.0001). The association was even stronger when HLA-DPB1*04:02 and -DPB1*23:01 were included. HLA-DPB1*04:01, -DPB1*04:02 and -DPB1*23:01 share amino acids in positions 8–9, 69, 76 and 84–87 within the hypervariable regions, but only positions 69 and 84–87 contributed significantly to the disease risk. HLA-DRB1*15 was associated with an increased risk of developing PR3-AAV, while HLA-DRB1*04, -DRB1*07 and -DQB1*03 were associated with a reduced risk of kidney involvement in PR3-AAV. MPO-AAV was only weakly associated with HLA class I alleles.
Conclusion
PR3-AAV is strongly associated with the HLA-DPB1 alleles HLA-DPB1*04:01, -DPB1*04:02 and -DPB1*23:01, which share amino acid sequences crucial for the peptide-binding groove.
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Affiliation(s)
| | | | - Per Ivarsen
- Department of Nephrology, Aarhus University Hospital, Aarhus, Denmark
| | - Rie Glerup
- Department of Nephrology, Aalborg University Hospital, Aalborg, Denmark
| | | | | | - Ib Tønder Hansen
- Department of Rheumatology, Aarhus University Hospital, Aarhus, Denmark
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30
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Glatigny S, Bettelli E. Experimental Autoimmune Encephalomyelitis (EAE) as Animal Models of Multiple Sclerosis (MS). Cold Spring Harb Perspect Med 2018; 8:cshperspect.a028977. [PMID: 29311122 DOI: 10.1101/cshperspect.a028977] [Citation(s) in RCA: 127] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Multiple sclerosis (MS) is a multifocal demyelinating disease of the central nervous system (CNS) leading to the progressive destruction of the myelin sheath surrounding axons. It can present with variable clinical and pathological manifestations, which might reflect the involvement of distinct pathogenic processes. Although the mechanisms leading to the development of the disease are not fully understood, numerous evidences indicate that MS is an autoimmune disease, the initiation and progression of which are dependent on an autoimmune response against myelin antigens. In addition, genetic susceptibility and environmental triggers likely contribute to the initiation of the disease. At this time, there is no cure for MS, but several disease-modifying therapies (DMTs) are available to control and slow down disease progression. A good number of these DMTs were identified and tested using animal models of MS referred to as experimental autoimmune encephalomyelitis (EAE). In this review, we will recapitulate the characteristics of EAE models and discuss how they help shed light on MS pathogenesis and help test new treatments for MS patients.
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Affiliation(s)
- Simon Glatigny
- Immunology Program, Benaroya Research Institute, Seattle, Washington 98101.,Department of Immunology, University of Washington, Seattle, Washington 98109
| | - Estelle Bettelli
- Immunology Program, Benaroya Research Institute, Seattle, Washington 98101.,Department of Immunology, University of Washington, Seattle, Washington 98109
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31
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Robson KJ, Ooi JD, Holdsworth SR, Rossjohn J, Kitching AR. HLA and kidney disease: from associations to mechanisms. Nat Rev Nephrol 2018; 14:636-655. [DOI: 10.1038/s41581-018-0057-8] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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32
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Mohammadzadeh A, Rad IA, Ahmadi-Salmasi B. CTLA-4, PD-1 and TIM-3 expression predominantly downregulated in MS patients. J Neuroimmunol 2018; 323:105-108. [PMID: 30196822 DOI: 10.1016/j.jneuroim.2018.08.004] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 07/08/2018] [Accepted: 08/06/2018] [Indexed: 01/08/2023]
Abstract
Multiple sclerosis (MS), is an autoimmune disorder of central nervous system (CNS) characterized by inflammation and demyelination. Self-tolerance impairment is considered to be induced by a combination of inherited susceptibility and environmental agents. In this work, we demonstrate that a reduction in the comparative expression of well-known inhibitory receptors (i.e., CTLA-4, PD-1, and TIM-3) is importantly linked with MS patients compared to healthy controls. The relative expression of interested genes was performed on peripheral blood mononuclear cells (PBMCs), by using quantitative real time-PCR (qRT-PCR). Our data highlighted the role of inhibitory receptors in the maintenance of immune homeostasis in autoimmune disease.
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Affiliation(s)
- Adel Mohammadzadeh
- Department of Immunology and genetic, Urmia University of Medical Sciences, Urmia, Iran.
| | - Isa Abdi Rad
- Department of Genetics, Urmia University of Medical Sciences, Urmia, Iran
| | - Babak Ahmadi-Salmasi
- Department of Neurology, Imam Khomeini Hospital, Urmia University of Medical Sciences, Urmia, Iran
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33
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Tennessen JA. Gene buddies: linked balanced polymorphisms reinforce each other even in the absence of epistasis. PeerJ 2018; 6:e5110. [PMID: 29967750 PMCID: PMC6026533 DOI: 10.7717/peerj.5110] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Accepted: 06/05/2018] [Indexed: 01/16/2023] Open
Abstract
The fates of genetic polymorphisms maintained by balancing selection depend on evolutionary dynamics at linked sites. While coevolution across linked, epigenetically-interacting loci has been extensively explored, such supergenes may be relatively rare. However, genes harboring adaptive variation can occur in close physical proximity while generating independent effects on fitness. Here, I present a model in which two linked loci without epistasis are both under balancing selection for unrelated reasons. Using forward-time simulations, I show that recombination rate strongly influences the retention of adaptive polymorphism, especially for intermediate selection coefficients. A locus is more likely to retain adaptive variation if it is closely linked to another locus under balancing selection, even if the two loci have no interaction. Thus, two linked polymorphisms can both be retained indefinitely even when they would both be lost to drift if unlinked. While these results may be intuitive, they have important implications for genetic architecture: clusters of mutually reinforcing genes may underlie phenotypic variation in natural populations, and such genes cannot be assumed to be functionally associated. Future studies that measure selection coefficients and recombination rates among closely linked genes will be fruitful for characterizing the extent of this phenomenon.
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Affiliation(s)
- Jacob A. Tennessen
- Department of Integrative Biology, Oregon State University, Corvallis, OR, USA
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34
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Pedchenko V, Kitching AR, Hudson BG. Goodpasture's autoimmune disease - A collagen IV disorder. Matrix Biol 2018; 71-72:240-249. [PMID: 29763670 DOI: 10.1016/j.matbio.2018.05.004] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 05/10/2018] [Indexed: 02/04/2023]
Abstract
Goodpasture's (GP) disease is an autoimmune disorder characterized by the deposition of pathogenic autoantibodies in basement membranes of kidney and lung eliciting rapidly progressive glomerulonephritis and pulmonary hemorrhage. The principal autoantigen is the α345 network of collagen IV, which expression is restricted to target tissues. Recent discoveries include a key role of chloride and bromide for network assembly, a novel posttranslational modification of the antigen, a sulfilimine bond that crosslinks the antigen, and the mechanistic role of HLA in genetic susceptibility and resistance to GP disease. These advances provide further insights into molecular mechanisms of initiation and progression of GP disease and serve as a basis for developing of novel diagnostic tools and therapies for treatment of Goodpasture's disease.
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Affiliation(s)
- Vadim Pedchenko
- Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, United States; Center for Matrix Biology, Department of Biochemistry, Department of Pathology, Microbiology and Immunology, Department of Cell and Developmental Biology, Vanderbilt Ingram Cancer Center, Vanderbilt Institute of Chemical Biology, Vanderbilt University Medical Center, Nashville, TN, United States.
| | - A Richard Kitching
- Centre for inflammatory diseases, Monash University Department of Medicine, 246 Clayton Rd, Clayton, VIC 3168, Australia; Department of Nephrology, Monash Health, 246 Clayton Rd, Clayton, VIC 3168, Australia; Department and Pediatric Nephrology, Monash Health, 246 Clayton Rd, Clayton, VIC 3168, Australia
| | - Billy G Hudson
- Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, United States; Center for Matrix Biology, Department of Biochemistry, Department of Pathology, Microbiology and Immunology, Department of Cell and Developmental Biology, Vanderbilt Ingram Cancer Center, Vanderbilt Institute of Chemical Biology, Vanderbilt University Medical Center, Nashville, TN, United States
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35
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Krause-Kyora B, Nutsua M, Boehme L, Pierini F, Pedersen DD, Kornell SC, Drichel D, Bonazzi M, Möbus L, Tarp P, Susat J, Bosse E, Willburger B, Schmidt AH, Sauter J, Franke A, Wittig M, Caliebe A, Nothnagel M, Schreiber S, Boldsen JL, Lenz TL, Nebel A. Ancient DNA study reveals HLA susceptibility locus for leprosy in medieval Europeans. Nat Commun 2018; 9:1569. [PMID: 29717136 PMCID: PMC5931558 DOI: 10.1038/s41467-018-03857-x] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Accepted: 03/16/2018] [Indexed: 01/26/2023] Open
Abstract
Leprosy, a chronic infectious disease caused by Mycobacterium leprae (M. leprae), was very common in Europe till the 16th century. Here, we perform an ancient DNA study on medieval skeletons from Denmark that show lesions specific for lepromatous leprosy (LL). First, we test the remains for M. leprae DNA to confirm the infection status of the individuals and to assess the bacterial diversity. We assemble 10 complete M. leprae genomes that all differ from each other. Second, we evaluate whether the human leukocyte antigen allele DRB1*15:01, a strong LL susceptibility factor in modern populations, also predisposed medieval Europeans to the disease. The comparison of genotype data from 69 M. leprae DNA-positive LL cases with those from contemporary and medieval controls reveals a statistically significant association in both instances. In addition, we observe that DRB1*15:01 co-occurs with DQB1*06:02 on a haplotype that is a strong risk factor for inflammatory diseases today. Leprosy, caused by infection with Mycobacterium leprae, was common in Europe in the Middle Ages. Here, Krause-Kyora et al. analyze ancient DNA from a medieval Danish leprosarium to assemble 10 complete bacterial genomes and perform association analysis of the DRB1*15:01 allele with risk of leprosy infection.
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Affiliation(s)
- Ben Krause-Kyora
- Institute of Clinical Molecular Biology, Kiel University, Kiel, 24105, Germany. .,Max Planck Institute for the Science of Human History, Jena, 07745, Germany.
| | - Marcel Nutsua
- Institute of Clinical Molecular Biology, Kiel University, Kiel, 24105, Germany
| | - Lisa Boehme
- Institute of Clinical Molecular Biology, Kiel University, Kiel, 24105, Germany
| | - Federica Pierini
- Department of Evolutionary Ecology, Research Group for Evolutionary Immunogenomics, Max Planck Institute for Evolutionary Biology, Plön, 24306, Germany
| | - Dorthe Dangvard Pedersen
- Department of Forensic Medicine, Unit of Anthropology (ADBOU), University of Southern Denmark, Odense S, 5260, Denmark
| | | | - Dmitriy Drichel
- Department of Statistical Genetics and Bioinformatics, Cologne Center for Genomics (CCG), University of Cologne, Cologne, 50931, Germany
| | - Marion Bonazzi
- Institute of Clinical Molecular Biology, Kiel University, Kiel, 24105, Germany
| | - Lena Möbus
- Institute of Clinical Molecular Biology, Kiel University, Kiel, 24105, Germany
| | - Peter Tarp
- Department of Forensic Medicine, Unit of Anthropology (ADBOU), University of Southern Denmark, Odense S, 5260, Denmark
| | - Julian Susat
- Institute of Clinical Molecular Biology, Kiel University, Kiel, 24105, Germany
| | - Esther Bosse
- Institute of Clinical Molecular Biology, Kiel University, Kiel, 24105, Germany
| | | | | | | | - Andre Franke
- Institute of Clinical Molecular Biology, Kiel University, Kiel, 24105, Germany
| | - Michael Wittig
- Institute of Clinical Molecular Biology, Kiel University, Kiel, 24105, Germany
| | - Amke Caliebe
- Institute of Medical Informatics and Statistics, Kiel University, Kiel, 24105, Germany
| | - Michael Nothnagel
- Department of Statistical Genetics and Bioinformatics, Cologne Center for Genomics (CCG), University of Cologne, Cologne, 50931, Germany
| | - Stefan Schreiber
- Institute of Clinical Molecular Biology, Kiel University, Kiel, 24105, Germany.,Clinic for Internal Medicine, University Hospital of Schleswig-Holstein, Kiel, 24105, Germany
| | - Jesper L Boldsen
- Department of Forensic Medicine, Unit of Anthropology (ADBOU), University of Southern Denmark, Odense S, 5260, Denmark
| | - Tobias L Lenz
- Department of Evolutionary Ecology, Research Group for Evolutionary Immunogenomics, Max Planck Institute for Evolutionary Biology, Plön, 24306, Germany
| | - Almut Nebel
- Institute of Clinical Molecular Biology, Kiel University, Kiel, 24105, Germany
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36
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Creary LE, Mallempati KC, Gangavarapu S, Caillier SJ, Oksenberg JR, Fernández-Viňa MA. Deconstruction of HLA-DRB1*04:01:01 and HLA-DRB1*15:01:01 class II haplotypes using next-generation sequencing in European-Americans with multiple sclerosis. Mult Scler 2018; 25:772-782. [PMID: 29683085 DOI: 10.1177/1352458518770019] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
BACKGROUND The association between HLA-DRB1*15:01 with multiple sclerosis (MS) susceptibility is well established, but the contribution of the tightly associated HLA-DRB5*01:01 allele has not yet been completely ascertained. Similarly, the effects of HLA-DRB1*04:01 alleles and haplotypes, defined at the full-gene resolution level with MS risk remains to be elucidated. OBJECTIVES To characterize the molecular architecture of class II HLA-DR15 and HLA-DR4 haplotypes associated with MS. METHODS Next-generation sequencing was used to determine HLA-DQB1, HLA-DQA1, and HLA-DRB1/4/5 alleles in 1403 unrelated European-American patients and 1425 healthy unrelated controls. Effect sizes of HLA alleles and haplotypes on MS risk were measured by odds ratio (OR) with 95% confidence intervals. RESULTS HLA-DRB1*15:01:01:01SG (OR = 3.20, p < 2.2E-16), HLA-DRB5*01:01:01 (OR = 2.96, p < 2.2E-16), and HLA-DRB5*01:01:01v1_STR1 (OR = 8.18, p = 4.3E-05) alleles all occurred at significantly higher frequencies in MS patients compared to controls. The most significant predis-posing haplotypes were HLA-DQB1*06:02:01~ HLA-DQA1*01:02:01:01SG~HLA-DRB1*15:01:01:01SG~HLA-DRB5*01:01:01 and HLA-DQB1*06:02:01~HLA-DQA1*01:02:01:01SG~HLA-DRB1*15:01:01:01SG~HLA-DRB5*01:01:01v1_STR1 (OR = 3.19, p < 2.2E-16; OR = 9.30, p = 9.7E-05, respectively). Analyses of the HLA-DRB1*04 cohort in the absence of HLA-DRB1*15:01 haplotypes revealed that the HLA-DQB1*03:01:01:01~HLA-DQA1*03:03:01:01~HLA-DRB1*04:01:01:01SG~HLA-DRB4*01:03:01:01 haplotype was protective (OR = 0.64, p = 0.028), whereas the HLA-DQB1*03:02:01~HLA-DQA1*03:01:01~HLA-DRB1*04:01:01:01SG~HLA-DRB4*01:03:01:01 haplotype was associated with MS susceptibility (OR = 1.66, p = 4.9E-03). CONCLUSION HLA-DR15 haplotypes, including genomic variants of HLA-DRB5, and HLA-DR4 haplotypes affect MS risk.
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Affiliation(s)
- Lisa E Creary
- Department of Pathology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Kalyan C Mallempati
- Histocompatibility, Immunogenetics and Disease Profiling Laboratory, Stanford Blood Center, Palo Alto, CA, USA
| | - Sridevi Gangavarapu
- Histocompatibility, Immunogenetics and Disease Profiling Laboratory, Stanford Blood Center, Palo Alto, CA, USA
| | - Stacy J Caillier
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Jorge R Oksenberg
- Department of Neurology, University of California, San Francisco, CA, USA
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Dendrou CA, Petersen J, Rossjohn J, Fugger L. HLA variation and disease. Nat Rev Immunol 2018; 18:325-339. [PMID: 29292391 DOI: 10.1038/nri.2017.143] [Citation(s) in RCA: 418] [Impact Index Per Article: 69.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Fifty years since the first description of an association between HLA and human disease, HLA molecules have proven to be central to physiology, protective immunity and deleterious, disease-causing autoimmune reactivity. Technological advances have enabled pivotal progress in the determination of the molecular mechanisms that underpin the association between HLA genetics and functional outcome. Here, we review our current understanding of HLA molecules as the fundamental platform for immune surveillance and responsiveness in health and disease. We evaluate the scope for personalized antigen-specific disease prevention, whereby harnessing HLA-ligand interactions for clinical benefit is becoming a realistic prospect.
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Affiliation(s)
- Calliope A Dendrou
- Nuffield Department of Medicine, The Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Jan Petersen
- Australian Research Council Centre of Excellence for Advanced Molecular Imaging, Monash University, Wellington Road, Clayton, Victoria 3800, Australia.,Infection and Immunity Programme and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Wellington Road, Clayton, Victoria 3800, Australia
| | - Jamie Rossjohn
- Australian Research Council Centre of Excellence for Advanced Molecular Imaging, Monash University, Wellington Road, Clayton, Victoria 3800, Australia.,Infection and Immunity Programme and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Wellington Road, Clayton, Victoria 3800, Australia.,Division of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff CF14 4XN, UK
| | - Lars Fugger
- Danish National Research Foundation Centre PERSIMUNE, Rigshospitalet, University of Copenhagen, Copenhagen DK-2100, Denmark.,Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, Division of Clinical Neurology and Medical Research Council Human Immunology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Headley Way, Oxford OX3 9DS, UK
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38
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Meyer D, C Aguiar VR, Bitarello BD, C Brandt DY, Nunes K. A genomic perspective on HLA evolution. Immunogenetics 2018; 70:5-27. [PMID: 28687858 PMCID: PMC5748415 DOI: 10.1007/s00251-017-1017-3] [Citation(s) in RCA: 114] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Accepted: 06/16/2017] [Indexed: 12/20/2022]
Abstract
Several decades of research have convincingly shown that classical human leukocyte antigen (HLA) loci bear signatures of natural selection. Despite this conclusion, many questions remain regarding the type of selective regime acting on these loci, the time frame at which selection acts, and the functional connections between genetic variability and natural selection. In this review, we argue that genomic datasets, in particular those generated by next-generation sequencing (NGS) at the population scale, are transforming our understanding of HLA evolution. We show that genomewide data can be used to perform robust and powerful tests for selection, capable of identifying both positive and balancing selection at HLA genes. Importantly, these tests have shown that natural selection can be identified at both recent and ancient timescales. We discuss how findings from genomewide association studies impact the evolutionary study of HLA genes, and how genomic data can be used to survey adaptive change involving interaction at multiple loci. We discuss the methodological developments which are necessary to correctly interpret genomic analyses involving the HLA region. These developments include adapting the NGS analysis framework so as to deal with the highly polymorphic HLA data, as well as developing tools and theory to search for signatures of selection, quantify differentiation, and measure admixture within the HLA region. Finally, we show that high throughput analysis of molecular phenotypes for HLA genes-namely transcription levels-is now a feasible approach and can add another dimension to the study of genetic variation.
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Affiliation(s)
- Diogo Meyer
- Department of Genetics and Evolutionary Biology, University of São Paulo, 05508-090, São Paulo, SP, Brazil.
| | - Vitor R C Aguiar
- Department of Genetics and Evolutionary Biology, University of São Paulo, 05508-090, São Paulo, SP, Brazil
| | - Bárbara D Bitarello
- Department of Genetics and Evolutionary Biology, University of São Paulo, 05508-090, São Paulo, SP, Brazil
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Débora Y C Brandt
- Department of Genetics and Evolutionary Biology, University of São Paulo, 05508-090, São Paulo, SP, Brazil
- Department of Integrative Biology, University of California, Berkeley, CA, USA
| | - Kelly Nunes
- Department of Genetics and Evolutionary Biology, University of São Paulo, 05508-090, São Paulo, SP, Brazil
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40
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Berrio A, Guerrero RF, Aglyamova GV, Okhovat M, Matz MV, Phelps SM. Complex selection on a regulator of social cognition: Evidence of balancing selection, regulatory interactions and population differentiation in the prairie vole
Avpr1a
locus. Mol Ecol 2017; 27:419-431. [DOI: 10.1111/mec.14455] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Revised: 10/13/2017] [Accepted: 11/02/2017] [Indexed: 01/14/2023]
Affiliation(s)
- Alejandro Berrio
- Department of Integrative Biology University of Texas at Austin Austin TX USA
- Department of Biology Duke University Durham NC USA
| | | | - Galina V. Aglyamova
- Department of Integrative Biology University of Texas at Austin Austin TX USA
| | - Mariam Okhovat
- Department of Integrative Biology University of Texas at Austin Austin TX USA
| | - Mikhail V. Matz
- Department of Integrative Biology University of Texas at Austin Austin TX USA
| | - Steven M. Phelps
- Department of Integrative Biology University of Texas at Austin Austin TX USA
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41
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Prinz JC. Autoimmune aspects of psoriasis: Heritability and autoantigens. Autoimmun Rev 2017; 16:970-979. [PMID: 28705779 DOI: 10.1016/j.autrev.2017.07.011] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Accepted: 06/10/2017] [Indexed: 12/28/2022]
Abstract
Chronic immune-mediated disorders (IMDs) constitute a major health burden. Understanding IMD pathogenesis is facing two major constraints: Missing heritability explaining familial clustering, and missing autoantigens. Pinpointing IMD risk genes and autoimmune targets, however, is of fundamental importance for developing novel causal therapies. The strongest association of all IMDs is seen with human leukocyte antigen (HLA) alleles. Using psoriasis as an IMD model this article reviews the pathogenic role HLA molecules may have within the polygenic predisposition of IMDs. It concludes that disease-associated HLA alleles account for both missing heritability and autoimmune mechanisms by facilitating tissue-specific autoimmune responses through autoantigen presentation.
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Affiliation(s)
- Jörg Christoph Prinz
- Department of Dermatology, University Clinics, Ludwig-Maximilian-University of Munich, Munich, Germany.
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42
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Dominant protection from HLA-linked autoimmunity by antigen-specific regulatory T cells. Nature 2017; 545:243-247. [PMID: 28467828 DOI: 10.1038/nature22329] [Citation(s) in RCA: 152] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Accepted: 03/31/2017] [Indexed: 12/17/2022]
Abstract
Susceptibility and protection against human autoimmune diseases, including type I diabetes, multiple sclerosis, and Goodpasture disease, is associated with particular human leukocyte antigen (HLA) alleles. However, the mechanisms underpinning such HLA-mediated effects on self-tolerance remain unclear. Here we investigate the molecular mechanism of Goodpasture disease, an HLA-linked autoimmune renal disorder characterized by an immunodominant CD4+ T-cell self-epitope derived from the α3 chain of type IV collagen (α3135-145). While HLA-DR15 confers a markedly increased disease risk, the protective HLA-DR1 allele is dominantly protective in trans with HLA-DR15 (ref. 2). We show that autoreactive α3135-145-specific T cells expand in patients with Goodpasture disease and, in α3135-145-immunized HLA-DR15 transgenic mice, α3135-145-specific T cells infiltrate the kidney and mice develop Goodpasture disease. HLA-DR15 and HLA-DR1 exhibit distinct peptide repertoires and binding preferences and present the α3135-145 epitope in different binding registers. HLA-DR15-α3135-145 tetramer+ T cells in HLA-DR15 transgenic mice exhibit a conventional T-cell phenotype (Tconv) that secretes pro-inflammatory cytokines. In contrast, HLA-DR1-α3135-145 tetramer+ T cells in HLA-DR1 and HLA-DR15/DR1 transgenic mice are predominantly CD4+Foxp3+ regulatory T cells (Treg cells) expressing tolerogenic cytokines. HLA-DR1-induced Treg cells confer resistance to disease in HLA-DR15/DR1 transgenic mice. HLA-DR15+ and HLA-DR1+ healthy human donors display altered α3135-145-specific T-cell antigen receptor usage, HLA-DR15-α3135-145 tetramer+ Foxp3- Tconv and HLA-DR1-α3135-145 tetramer+ Foxp3+CD25hiCD127lo Treg dominant phenotypes. Moreover, patients with Goodpasture disease display a clonally expanded α3135-145-specific CD4+ T-cell repertoire. Accordingly, we provide a mechanistic basis for the dominantly protective effect of HLA in autoimmune disease, whereby HLA polymorphism shapes the relative abundance of self-epitope specific Treg cells that leads to protection or causation of autoimmunity.
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Immunodominant T-Cell Epitopes in the VP1 Capsid Protein of Rhinovirus Species A and C. J Virol 2016; 90:10459-10471. [PMID: 27630239 DOI: 10.1128/jvi.01701-16] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Accepted: 09/04/2016] [Indexed: 01/15/2023] Open
Abstract
Rhinovirus (RV) species A and C are the most frequent cause of respiratory viral illness worldwide, and RV-C has been linked to more severe exacerbations of asthma in young children. Little is known about the immune responses to the different RV species, although studies comparing IgG1 antibody titers found impaired antibody responses to RV-C. Therefore, the aim of this study was to assess whether T-cell immunity to RV-C is similarly impaired. We measured T-cell proliferation to overlapping synthetic peptides covering the entire VP1 capsid protein of an RV-A and RV-C genotype for 20 healthy adult donors. Human leukocyte antigen (HLA) was typed in all the donors in order to investigate possible associations between the HLA type and RV peptide recognition. Total and specific IgG1 antibody titers to the VP1 proteins of both RV-A and RV-C were also measured to examine associations between the antibody and T-cell responses. We identified T-cell epitopes that are specific to and representative of each RV-A and RV-C species. These epitopes stimulated CD4+-specific T-cell proliferation, with similar magnitudes of response for both RV species. All the donors, independent of their HLA-DR or -DQ type, were able to recognize the immunodominant RV-A and -C regions of VP1. Furthermore, the presence or absence of specific antibody titers was not related to changes in T-cell recognition. Our results indicate a dissociation between the antibody and T-cell responses to rhinoviruses. The species-representative T-cell epitopes identified in this study are valuable tools for future studies investigating T-cell responses to the different RV species. IMPORTANCE Rhinoviruses (RVs) are mostly associated with the common cold and asthma exacerbations, although their contributions to most upper and lower respiratory tract diseases have increasingly been reported. Species C (RV-C) has been associated with more frequent and severe asthma exacerbations in young children and, along with RV-A, is the most clinically relevant species. Little is known about how our immune system responds to rhinoviruses, and there are limited tools to study specific adaptive immunity against each rhinovirus species. In this study, we identified immunodominant T-cell epitopes of the VP1 proteins of RV-A and RV-C, which are representative of each species. The study found that T-cell responses to RV-A and RV-C were of similar magnitudes, in contrast with previous findings showing RV-C-specific antibody responses were low. These findings will provide the basis for future studies on the immune response to rhinoviruses and can help elucidate the mechanisms of severity of rhinovirus-induced infections.
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Sulovari A, Chen YH, Hudziak JJ, Li D. Atlas of human diseases influenced by genetic variants with extreme allele frequency differences. Hum Genet 2016; 136:39-54. [PMID: 27699474 DOI: 10.1007/s00439-016-1734-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Accepted: 09/27/2016] [Indexed: 12/22/2022]
Abstract
Genetic variants with extreme allele frequency differences (EAFD) may underlie some human health disparities across populations. To identify EAFD loci, we systematically analyzed and characterized 81 million genomic variants from 2504 unrelated individuals of 26 world populations (phase III of the 1000 Genomes Project). Our analyses revealed a total of 434 genes, 15 pathways, and 18 diseases and traits influenced by EAFD variants from five continental populations. They included known EAFD genes, such as LCT (lactose tolerance), SLC24A5 (skin pigmentation), and EDAR (hair morphology). We found many novel EAFD genes, including TBC1D2B (autophagy mediator), TRIM40 (gastrointestinal inflammatory regulator), KRT71, KRT75, KRT83, and KRTAP10-1 (hair and epithelial keratin synthesis), PIK3R3 (insulin receptor interaction), DARS (neurological disorders), and NACA2 (skin inflammatory response). Our results also showed four complex diseases significantly associated with EAFD loci, including asthma (adjusted enrichment P = 4 × 10-8), type I diabetes (P = 6 × 10-9), alcohol consumption (P = 0.0002), and attention deficit/hyperactivity disorder (P = 0.003). This study provides a comprehensive atlas of genes, pathways, and human diseases significantly influenced by EAFD variants.
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Affiliation(s)
- Arvis Sulovari
- Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, VT, 05405, USA
| | - Yolanda H Chen
- Department of Plant and Soil Science, University of Vermont, Burlington, VT, 05405, USA
| | - James J Hudziak
- Vermont Center for Children, Youth, and Families, Department of Psychiatry, University of Vermont, Burlington, VT, 05405, USA
| | - Dawei Li
- Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, VT, 05405, USA. .,Department of Computer Science, University of Vermont, Burlington, VT, 05405, USA. .,Neuroscience, Behavior, and Health Initiative, University of Vermont, Burlington, VT, 05405, USA.
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45
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Pathway Analysis Incorporating Protein-Protein Interaction Networks Identified Candidate Pathways for the Seven Common Diseases. PLoS One 2016; 11:e0162910. [PMID: 27622767 PMCID: PMC5021324 DOI: 10.1371/journal.pone.0162910] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2016] [Accepted: 08/30/2016] [Indexed: 01/08/2023] Open
Abstract
Pathway analysis has become popular as a secondary analysis strategy for genome-wide association studies (GWAS). Most of the current pathway analysis methods aggregate signals from the main effects of single nucleotide polymorphisms (SNPs) in genes within a pathway without considering the effects of gene-gene interactions. However, gene-gene interactions can also have critical effects on complex diseases. Protein-protein interaction (PPI) networks have been used to define gene pairs for the gene-gene interaction tests. Incorporating the PPI information to define gene pairs for interaction tests within pathways can increase the power for pathway-based association tests. We propose a pathway association test, which aggregates the interaction signals in PPI networks within a pathway, for GWAS with case-control samples. Gene size is properly considered in the test so that genes do not contribute more to the test statistic simply due to their size. Simulation studies were performed to verify that the method is a valid test and can have more power than other pathway association tests in the presence of gene-gene interactions within a pathway under different scenarios. We applied the test to the Wellcome Trust Case Control Consortium GWAS datasets for seven common diseases. The most significant pathway is the chaperones modulate interferon signaling pathway for Crohn’s disease (p-value = 0.0003). The pathway modulates interferon gamma, which induces the JAK/STAT pathway that is involved in Crohn’s disease. Several other pathways that have functional implications for the seven diseases were also identified. The proposed test based on gene-gene interaction signals in PPI networks can be used as a complementary tool to the current existing pathway analysis methods focusing on main effects of genes. An efficient software implementing the method is freely available at http://puppi.sourceforge.net.
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Sasazuki T, Inoko H, Morishima S, Morishima Y. Gene Map of the HLA Region, Graves’ Disease and Hashimoto Thyroiditis, and Hematopoietic Stem Cell Transplantation. Adv Immunol 2016; 129:175-249. [DOI: 10.1016/bs.ai.2015.08.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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47
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The search for the target antigens of multiple sclerosis, part 1: autoreactive CD4+ T lymphocytes as pathogenic effectors and therapeutic targets. Lancet Neurol 2015; 15:198-209. [PMID: 26724103 DOI: 10.1016/s1474-4422(15)00334-8] [Citation(s) in RCA: 135] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Identification of the target antigens of pathogenic antibodies and T cells is of fundamental importance for understanding the pathogenesis of multiple sclerosis, and for the development of personalised treatments for the disease. Myelin-specific CD4+ T cells emerged long ago as a key player in animal models of multiple sclerosis. Taking a forward-translational approach, autoreactive CD4+ T cells have been studied extensively in patients with multiple sclerosis, and there is evidence, but as yet no direct proof, that autoreactive CD4+ T cells are a key player in the pathogenesis of the disorder. Several therapies that selectively target myelin-specific CD4+ T cells have been investigated in clinical trials up to phase 3. So far, however, none of these (mostly underpowered) therapeutic trials have provided definitive evidence of clinical efficacy. One major obstacle to personalised, highly selective immunotherapy is the absence of standardised and reliable assays to assess antigen-specific human T-cell responses. Such assays would be essential for stratification of patients with multiple sclerosis according to their individual target antigens.
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Moutsianas L, Jostins L, Beecham AH, Dilthey AT, Xifara DK, Ban M, Shah TS, Patsopoulos NA, Alfredsson L, Anderson CA, Attfield KE, Baranzini SE, Barrett J, Binder TMC, Booth D, Buck D, Celius EG, Cotsapas C, D'Alfonso S, Dendrou CA, Donnelly P, Dubois B, Fontaine B, Fugger L, Goris A, Gourraud PA, Graetz C, Hemmer B, Hillert J, Kockum I, Leslie S, Lill CM, Martinelli-Boneschi F, Oksenberg JR, Olsson T, Oturai A, Saarela J, Søndergaard HB, Spurkland A, Taylor B, Winkelmann J, Zipp F, Haines JL, Pericak-Vance MA, Spencer CCA, Stewart G, Hafler DA, Ivinson AJ, Harbo HF, Hauser SL, De Jager PL, Compston A, McCauley JL, Sawcer S, McVean G. Class II HLA interactions modulate genetic risk for multiple sclerosis. Nat Genet 2015; 47:1107-1113. [PMID: 26343388 PMCID: PMC4874245 DOI: 10.1038/ng.3395] [Citation(s) in RCA: 239] [Impact Index Per Article: 26.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2015] [Accepted: 08/12/2015] [Indexed: 01/01/2023]
Abstract
Association studies have greatly refined the understanding of how variation within the human leukocyte antigen (HLA) genes influences risk of multiple sclerosis. However, the extent to which major effects are modulated by interactions is poorly characterized. We analyzed high-density SNP data on 17,465 cases and 30,385 controls from 11 cohorts of European ancestry, in combination with imputation of classical HLA alleles, to build a high-resolution map of HLA genetic risk and assess the evidence for interactions involving classical HLA alleles. Among new and previously identified class II risk alleles (HLA-DRB1*15:01, HLA-DRB1*13:03, HLA-DRB1*03:01, HLA-DRB1*08:01 and HLA-DQB1*03:02) and class I protective alleles (HLA-A*02:01, HLA-B*44:02, HLA-B*38:01 and HLA-B*55:01), we find evidence for two interactions involving pairs of class II alleles: HLA-DQA1*01:01-HLA-DRB1*15:01 and HLA-DQB1*03:01-HLA-DQB1*03:02. We find no evidence for interactions between classical HLA alleles and non-HLA risk-associated variants and estimate a minimal effect of polygenic epistasis in modulating major risk alleles.
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Affiliation(s)
- Loukas Moutsianas
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Luke Jostins
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ashley H Beecham
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, Florida, USA
| | | | - Dionysia K Xifara
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Maria Ban
- Department of Clinical Neurosciences, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Tejas S Shah
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Nikolaos A Patsopoulos
- Program in Translational NeuroPsychiatric Genomics, Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Department of Medicine, Division of Genetics, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard University and MIT, Cambridge, Massachusetts, USA
| | - Lars Alfredsson
- Institute of Environmental Medicine (IMM), Karolinska Institutet, Stockholm, Sweden
| | - Carl A Anderson
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Katherine E Attfield
- Medical Research Council (MRC) Human Immunology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Sergio E Baranzini
- Department of Neurology, University of California, San Francisco, Sandler Neurosciences Center, San Francisco, California, USA
| | - Jeffrey Barrett
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Thomas M C Binder
- HLA Laboratory, Department of Transfusion Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - David Booth
- Westmead Millennium Institute, University of Sydney, Sydney, New South Wales, Australia
| | - Dorothea Buck
- Department of Neurology, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany
| | - Elisabeth G Celius
- Department of Neurology, Oslo University Hospital, Ullevål, Oslo, Norway
| | - Chris Cotsapas
- Program in Medical and Population Genetics, Broad Institute of Harvard University and MIT, Cambridge, Massachusetts, USA
- Department of Neurology and Immunobiology, Yale University School of Medicine, New Haven, Connecticut, USA
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Sandra D'Alfonso
- Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), Department of Health Sciences, University of Eastern Piedmont, Novara, Italy
| | - Calliope A Dendrou
- Nuffield Department of Clinical Neurosciences, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Peter Donnelly
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Bénédicte Dubois
- Department of Neurosciences, Laboratory for Neuroimmunology, KU Leuven, Leuven, Belgium
| | - Bertrand Fontaine
- INSERM, Université Pierre et Marie Curie, CNRS, Assistance Publique-Hôpitaux de Paris (AP-HP), Département des Maladies du Système Nerveux and UMRS 1127-7225, Institut Cerveau Moelle Spinal Cord and Brain Institute, Pitié-Salpêtrière, Paris, France
| | - Lars Fugger
- Medical Research Council (MRC) Human Immunology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
- Nuffield Department of Clinical Neurosciences, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - An Goris
- Department of Neurosciences, Laboratory for Neuroimmunology, KU Leuven, Leuven, Belgium
| | - Pierre-Antoine Gourraud
- Department of Neurology, University of California, San Francisco, Sandler Neurosciences Center, San Francisco, California, USA
| | - Christiane Graetz
- Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn2), Johannes Gutenberg University-Medical Center, Mainz, Germany
| | - Bernhard Hemmer
- Department of Neurology, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Competence Network Multiple Sclerosis (KKNMS), Munich, Germany
| | - Jan Hillert
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Ingrid Kockum
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Stephen Leslie
- Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, Melbourne, Victoria, Australia
- Department of Mathematics and Statistics, University of Melbourne, Parkville, Melbourne, Victoria, Australia
| | - Christina M Lill
- Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn2), Johannes Gutenberg University-Medical Center, Mainz, Germany
- Platform for Genome Analytics, Institutes of Neurogenetics and Integrative and Experimental Genomics, University of Lübeck, Lübeck, Germany
| | - Filippo Martinelli-Boneschi
- Laboratory of Genetics of Neurological Complex Disorders, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
- Department of Neurology, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Jorge R Oksenberg
- Department of Neurology, University of California, San Francisco, Sandler Neurosciences Center, San Francisco, California, USA
| | - Tomas Olsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Annette Oturai
- Department of Neurology, Danish Multiple Sclerosis Center, Copenhagen University Hospital, Copenhagen, Denmark
| | - Janna Saarela
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Helle Bach Søndergaard
- Department of Neurology, Danish Multiple Sclerosis Center, Copenhagen University Hospital, Copenhagen, Denmark
| | - Anne Spurkland
- Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Bruce Taylor
- Menzies Research Institute Tasmania, University of Tasmania, Hobart, Tasmania, Australia
| | - Juliane Winkelmann
- Department of Neurology, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Institut für Humangenetik, Technische Universität München, Munich, Germany
- Institut für Humangenetik, Helmholtz Zentrum München, Munich, Germany
- Department of Neurology and Neurological Sciences, Center for Sleep Sciences and Medicine, Stanford University, Stanford, California, USA
| | - Frauke Zipp
- Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn2), Johannes Gutenberg University-Medical Center, Mainz, Germany
| | - Jonathan L Haines
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Margaret A Pericak-Vance
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, Florida, USA
| | - Chris C A Spencer
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Graeme Stewart
- Westmead Millennium Institute, University of Sydney, Sydney, New South Wales, Australia
| | - David A Hafler
- Program in Medical and Population Genetics, Broad Institute of Harvard University and MIT, Cambridge, Massachusetts, USA
- Department of Neurology and Immunobiology, Yale University School of Medicine, New Haven, Connecticut, USA
- Broad Institute of Harvard University and MIT, Cambridge, Massachusetts, USA
| | - Adrian J Ivinson
- Harvard NeuroDiscovery Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Hanne F Harbo
- Department of Neurology, Oslo University Hospital, Ullevål, Oslo, Norway
- University of Oslo, Oslo, Norway
| | - Stephen L Hauser
- Department of Neurology, University of California, San Francisco, Sandler Neurosciences Center, San Francisco, California, USA
| | - Philip L De Jager
- Program in Translational NeuroPsychiatric Genomics, Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Department of Medicine, Division of Genetics, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard University and MIT, Cambridge, Massachusetts, USA
| | - Alastair Compston
- Department of Clinical Neurosciences, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Jacob L McCauley
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, Florida, USA
| | - Stephen Sawcer
- Department of Clinical Neurosciences, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Gil McVean
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
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Piédavent-Salomon M, Willing A, Engler JB, Steinbach K, Bauer S, Eggert B, Ufer F, Kursawe N, Wehrmann S, Jäger J, Reinhardt S, Friese MA. Multiple sclerosis associated genetic variants of CD226 impair regulatory T cell function. Brain 2015; 138:3263-74. [PMID: 26359290 DOI: 10.1093/brain/awv256] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2014] [Accepted: 07/13/2015] [Indexed: 02/06/2023] Open
Abstract
Recent association studies have linked numerous genetic variants with an increased risk for multiple sclerosis, although their functional relevance remains largely unknown. Here we investigated phenotypical and functional consequences of a genetic variant in the CD226 gene that, among other autoimmune diseases, predisposes to multiple sclerosis. Phenotypically, effector and regulatory CD4(+) memory T cells of healthy individuals carrying the predisposing CD226 genetic variant showed, in comparison to carriers of the protective variant, reduced surface expression of CD226 and an impaired induction of CD226 after stimulation. This haplotype-dependent reduction in CD226 expression on memory T cells was abrogated in patients with multiple sclerosis, as CD226 expression was comparable to healthy risk haplotype carriers irrespective of genetic variant. Functionally, FOXP3-positive regulatory T cells from healthy carriers of the genetic protective variant showed superior suppressive capacity, which was again abrogated in multiple sclerosis patients. Mimicking the phenotype of human CD226 genetic risk variant carriers, regulatory T cells derived from Cd226-deficient mice showed similarly reduced inhibitory activity, eventually resulting in an exacerbated disease course of experimental autoimmune encephalomyelitis, the animal model of multiple sclerosis. Therefore, by combining human and mouse analyses we show that CD226 exhibits an important role in the activation of regulatory T cells, with its genetically imposed dysregulation impairing regulatory T cell function.
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Affiliation(s)
- Melanie Piédavent-Salomon
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Anne Willing
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Jan Broder Engler
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Karin Steinbach
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Simone Bauer
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Britta Eggert
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Friederike Ufer
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Nina Kursawe
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Sabine Wehrmann
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Jan Jäger
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Stefanie Reinhardt
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Manuel A Friese
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
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50
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Puzzling role of genetic risk factors in human longevity: "risk alleles" as pro-longevity variants. Biogerontology 2015; 17:109-27. [PMID: 26306600 PMCID: PMC4724477 DOI: 10.1007/s10522-015-9600-1] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Accepted: 08/19/2015] [Indexed: 02/07/2023]
Abstract
Complex diseases are major contributors to human mortality in old age. Paradoxically, many genetic variants that have been associated with increased risks of such diseases are found in genomes of long-lived people, and do not seem to compromise longevity. Here we argue that trade-off-like and conditional effects of genes can play central role in this phenomenon and in determining longevity. Such effects may occur as result of: (i) antagonistic influence of gene on the development of different health disorders; (ii) change in the effect of gene on vulnerability to death with age (especially, from “bad” to “good”); (iii) gene–gene interaction; and (iv) gene–environment interaction, among other factors. A review of current knowledge provides many examples of genetic factors that may increase the risk of one disease but reduce chances of developing another serious health condition, or improve survival from it. Factors that may increase risk of a major disease but attenuate manifestation of physical senescence are also discussed. Overall, available evidence suggests that the influence of a genetic variant on longevity may be negative, neutral or positive, depending on a delicate balance of the detrimental and beneficial effects of such variant on multiple health and aging related traits. This balance may change with age, internal and external environments, and depend on genetic surrounding. We conclude that trade-off-like and conditional genetic effects are very common and may result in situations when a disease “risk allele” can also be a pro-longevity variant, depending on context. We emphasize importance of considering such effects in both aging research and disease prevention.
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