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Jodice C, Malaspina P, Ciminelli BM, Martinez-Labarga C, Biancolella M, Novelli G, Novelletto A. Variation of the 3'RR1 HS1.2 Enhancer and Its Genomic Context. Genes (Basel) 2024; 15:856. [PMID: 39062635 PMCID: PMC11275349 DOI: 10.3390/genes15070856] [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: 05/28/2024] [Revised: 06/24/2024] [Accepted: 06/27/2024] [Indexed: 07/28/2024] Open
Abstract
In humans, the HS1.2 enhancer in the Ig heavy-chain locus is modular, with length polymorphism. Previous studies have shown the following features for this variation: (i) strong population structuring; (ii) association with autoimmune diseases; and (iii) association with developmental changes in Ig expression. The HS1.2 region could then be considered as a contributor to inter-individual diversity in humoral response in adaptive immunity. We experimentally determined the HS1.2-length class genotype in 72 of the 1000 Genomes CEU cell lines and assigned the HS1.2 alleles to haplotypes defined by 18 landmark SNPs. We also sequenced the variable portion and ~200 bp of the flanking DNA of 34 HS1.2 alleles. Furthermore, we computationally explored the ability of different allelic arrangements to bind transcription factors. Non-random association between HS1.2 and Gm allotypes in the European population clearly emerged. We show a wealth of variation in the modular composition of HS1.2, with five SNPs further contributing to diversity. Longer alleles offer more potential sites for binding but, for same-length alleles, SNP variation creates/destroys potential binding sites. Altogether, the arrangements of modules and SNP alleles both inside and outside HS1.2 denote an organization of diversity far from randomness. In the context of the strong divergence of human populations for this genomic region and the reported disease associations, our results suggest that selective forces shaped the pattern of its diversity.
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Affiliation(s)
- Carla Jodice
- Department of Biology, University of Rome Tor Vergata, 00133 Rome, Italy; (P.M.); (B.M.C.); (C.M.-L.); (M.B.)
| | - Patrizia Malaspina
- Department of Biology, University of Rome Tor Vergata, 00133 Rome, Italy; (P.M.); (B.M.C.); (C.M.-L.); (M.B.)
| | - Bianca Maria Ciminelli
- Department of Biology, University of Rome Tor Vergata, 00133 Rome, Italy; (P.M.); (B.M.C.); (C.M.-L.); (M.B.)
| | - Cristina Martinez-Labarga
- Department of Biology, University of Rome Tor Vergata, 00133 Rome, Italy; (P.M.); (B.M.C.); (C.M.-L.); (M.B.)
| | - Michela Biancolella
- Department of Biology, University of Rome Tor Vergata, 00133 Rome, Italy; (P.M.); (B.M.C.); (C.M.-L.); (M.B.)
| | - Giuseppe Novelli
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Tor Vergata University Hospital, 00133 Rome, Italy;
| | - Andrea Novelletto
- Department of Biology, University of Rome Tor Vergata, 00133 Rome, Italy; (P.M.); (B.M.C.); (C.M.-L.); (M.B.)
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2
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Aurelia LC, Purcell RA, Chung AW. Identification of IgG1 and IgG3 Allotypes by PCR and Sanger Sequencing. Methods Mol Biol 2024; 2826:201-218. [PMID: 39017895 DOI: 10.1007/978-1-0716-3950-4_15] [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] [Indexed: 07/18/2024]
Abstract
The immunoglobulin heavy constant gamma (IGHG) gene cluster encoding immunoglobulin G (IgG) subclasses is highly polymorphic, resulting in amino acid variation along the antibody constant heavy chain referred to as allotypes. IGHG1 and IGHG3 are the two most polymorphic IgG subclasses in humans, with 4 classical IgG1 allotypes and 13 allotypes described for IgG3, though recent studies suggest greater allelic diversity, especially in underrepresented ethnic populations. Polymerase chain reaction (PCR) and Sanger sequencing of IGHG amplicons allow for the identification of the single nucleotide polymorphisms (SNPs) responsible for the observed amino acid substitutions. Here, we provide a detailed protocol for the amplification of IGHG1 and IGHG3 segments by PCR, sample preparation for Sanger sequencing, and analysis of sequencing data to identify SNPs associated with different IgG1 and IgG3 allotypes.
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Affiliation(s)
- L Carissa Aurelia
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Ruth A Purcell
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Amy W Chung
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia.
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3
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Gao C, Chen Q, Hao X, Wang Q. Immunomodulation of Antibody Glycosylation through the Placental Transfer. Int J Mol Sci 2023; 24:16772. [PMID: 38069094 PMCID: PMC10705935 DOI: 10.3390/ijms242316772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/22/2023] [Accepted: 11/23/2023] [Indexed: 12/18/2023] Open
Abstract
Establishing an immune balance between the mother and fetus during gestation is crucial, with the placenta acting as the epicenter of immune tolerance. The placental transfer of antibodies, mainly immunoglobulin G (IgG), is critical in protecting the developing fetus from infections. This review looks at how immunomodulation of antibody glycosylation occurs during placental transfer and how it affects fetal health. The passage of maternal IgG antibodies through the placental layers, including the syncytiotrophoblast, stroma, and fetal endothelium, is discussed. The effect of IgG subclass, glycosylation, concentration, maternal infections, and antigen specificity on antibody transfer efficiency is investigated. FcRn-mediated IgG transport, influenced by pH-dependent binding, is essential for placental transfer. Additionally, this review delves into the impact of glycosylation patterns on antibody functionality, considering both protective and pathological effects. Factors affecting the transfer of protective antibodies, such as maternal vaccination, are discussed along with reducing harmful antibodies. This in-depth examination of placental antibody transfer and glycosylation provides insights into improving neonatal immunity and mitigating the effects of maternal autoimmune and alloimmune conditions.
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Affiliation(s)
| | | | | | - Qiushi Wang
- Department of Blood Transfusion, Shengjing Hospital of China Medical University, Shenyang 110004, China
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4
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Luo H, Zhang P, Zhang W, Zheng Y, Hao D, Shi Y, Niu Y, Song T, Li Y, Zhao S, Chen H, Xu T, He S. Recent positive selection signatures reveal phenotypic evolution in the Han Chinese population. Sci Bull (Beijing) 2023; 68:2391-2404. [PMID: 37661541 DOI: 10.1016/j.scib.2023.08.027] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/08/2023] [Accepted: 08/10/2023] [Indexed: 09/05/2023]
Abstract
Characterizing natural selection signatures and relationships with phenotype spectra is important for understanding human evolution and both biological and pathological mechanisms. Here, we identified 24 genetic loci under recent selection by analyzing rare singletons in 3946 high-depth whole-genome sequencing data of Han Chinese. The loci include immune-related gene regions (MHC cluster, IGH cluster, STING1, and PSG), alcohol metabolism-related gene regions (ADH1B, ALDH2, and ALDH3B2), and the olfactory perception gene OR4C16, in which the MHC cluster, ADH1B, and ALDH2 were also identified by TOPMed and WestLake Biobank. Among the signals, the IGH cluster is particularly interesting, in which the favored allele of variant 14_105737776_C_T (rs117518546, IgG1-G396R) promotes immune response, but also increases the risk of an autoimmune disease systemic lupus erythematosus (SLE). It is also surprising that our newly discovered ALDH3B2 evolved in the opposite direction to ALDH2 for alcohol metabolism. Besides monogenic traits, we found that multiple complex traits experienced polygenic adaptation. Particularly, multi-methods consistently revealed that lower blood pressure was favored in natural selection. Finally, we built a database named RePoS (recent positive selection, http://bigdata.ibp.ac.cn/RePoS/) to integrate and display multi-population selection signals. Our study extended our understanding of natural evolution and phenotype adaptation in Han Chinese as well as other populations.
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Affiliation(s)
- Huaxia Luo
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; Department of Pediatrics, Peking University First Hospital, Beijing 100034, China
| | - Peng Zhang
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Wanyu Zhang
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yu Zheng
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Di Hao
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yirong Shi
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yiwei Niu
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tingrui Song
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yanyan Li
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Shilei Zhao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; China National Center for Bioinformation, Beijing 100101, China
| | - Hua Chen
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; China National Center for Bioinformation, Beijing 100101, China.
| | - Tao Xu
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271016, China.
| | - Shunmin He
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
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5
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Freedman AN, Roell K, Engwall E, Bulka C, Kuban KCK, Herring L, Mills CA, Parsons PJ, Galusha A, O’Shea TM, Fry RC. Prenatal Metal Exposure Alters the Placental Proteome in a Sex-Dependent Manner in Extremely Low Gestational Age Newborns: Links to Gestational Age. Int J Mol Sci 2023; 24:14977. [PMID: 37834424 PMCID: PMC10573797 DOI: 10.3390/ijms241914977] [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: 06/22/2023] [Revised: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 10/15/2023] Open
Abstract
Prenatal exposure to toxic metals is associated with altered placental function and adverse infant and child health outcomes. Adverse outcomes include those that are observed at the time of birth, such as low birthweight, as well as those that arise later in life, such as neurological impairment. It is often the case that these adverse outcomes show sex-specific responses in relation to toxicant exposures. While the precise molecular mechanisms linking in utero toxic metal exposures with later-in-life health are unknown, placental inflammation is posited to play a critical role. Here, we sought to understand whether in utero metal exposure is associated with alterations in the expression of the placental proteome by identifying metal associated proteins (MAPs). Within the Extremely Low Gestational Age Newborns (ELGAN) cohort (n = 230), placental and umbilical cord tissue samples were collected at birth. Arsenic (As), cadmium (Cd), lead (Pb), selenium (Se), and manganese (Mn) concentrations were measured in umbilical cord tissue samples via ICP-MS/MS. Protein expression was examined in placental samples using an LC-MS/MS-based, global, untargeted proteomics analysis measuring more than 3400 proteins. MAPs were then evaluated for associations with pregnancy and neonatal outcomes, including placental weight and gestational age. We hypothesized that metal levels would be positively associated with the altered expression of inflammation/immune-associated pathways and that sex-specific patterns of metal-associated placental protein expression would be observed. Sex-specific analyses identified 89 unique MAPs expressed in female placentas and 41 unique MAPs expressed in male placentas. Notably, many of the female-associated MAPs are known to be involved in immune-related processes, while the male-associated MAPs are associated with intracellular transport and cell localization. Further, several MAPs were significantly associated with gestational age in males and females and placental weight in males. These data highlight the linkage between prenatal metal exposure and an altered placental proteome, with implications for altering the trajectory of fetal development.
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Affiliation(s)
- Anastasia N. Freedman
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, NC 27599, USA; (A.N.F.); (E.E.)
- Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, NC 27599, USA;
| | - Kyle Roell
- Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, NC 27599, USA;
| | - Eiona Engwall
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, NC 27599, USA; (A.N.F.); (E.E.)
| | - Catherine Bulka
- College of Public Health, University of South Florida, Tampa, FL 33612, USA;
| | - Karl C. K. Kuban
- Department of Pediatrics, Division of Child Neurology, Boston Medical Center, Boston, MA 02118, USA;
| | - Laura Herring
- UNC Proteomics Core Facility, Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (L.H.); (C.A.M.)
| | - Christina A. Mills
- UNC Proteomics Core Facility, Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (L.H.); (C.A.M.)
| | - Patrick J. Parsons
- Wadsworth Center, New York State Department of Health, Albany, NY 12201, USA; (P.J.P.); (A.G.)
- Department of Environmental Health Sciences, School of Public Health, University of Albany, Rensselaer, NY 12222, USA
| | - Aubrey Galusha
- Wadsworth Center, New York State Department of Health, Albany, NY 12201, USA; (P.J.P.); (A.G.)
- Department of Environmental Health Sciences, School of Public Health, University of Albany, Rensselaer, NY 12222, USA
| | - Thomas Michael O’Shea
- Department of Pediatrics, School of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA;
| | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, NC 27599, USA; (A.N.F.); (E.E.)
- Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, NC 27599, USA;
- Curriculum in Toxicology & Environmental Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA
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6
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Fall AKDJ, Dechavanne C, Sabbagh A, Garcia A, Courtin D, Migot-Nabias F. Combined polymorphisms involving the IgG heavy chain and fc gamma receptors among Fulani and non-Fulani in Benin: Implications for the natural protection of young Fulani against plasmodium. Falciparum malaria infections. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2023:105461. [PMID: 37269963 DOI: 10.1016/j.meegid.2023.105461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/28/2023] [Accepted: 05/29/2023] [Indexed: 06/05/2023]
Abstract
A decreased susceptibility of Fulani populations to malaria infections has been shown in Africa. A previous longitudinal cohort study conducted in the Atacora region of northern Benin showed a high merozoite-phagocytosis capacity in young Fulani. Here, we explored the combined polymorphisms in the constant region of the IgG3 heavy chain (presence/absence of the G3m6 allotype) and in Fc gamma receptors (FcγRs) as potentially involved in the natural protection against malaria of young Fulani in Benin. An active malaria follow-up was conducted among individuals from Fulani, Bariba, Otamari and Gando ethnic groups living in sympatry in Atacora, over the full malaria transmission season. FcγRIIA 131R/H (rs1801274), FcγRIIC C/T (rs3933769) and FcγRIIIA 176F/V (rs396991) were determined using the TaqMan method; FcγRIIIB NA1/NA2 was assessed by polymerase chain reaction (PCR) using allele-specific primers and G3m6 using allotype by PCR-RFLP. Individual carriage of G3m6 (+) was associated with an increased risk of Pf malaria infection (logistic multivariate regression model (lmrm), IRR = 2.25, 95% CI = 1.06;4.74, P = 0.034). Combined haplotype G3m6 (+) - FcγRIIA 131H - FcγRIIC T - FcγRIIIA 176F - FcγRIIIB NA2 was also associated with an increased risk of Pf malaria infection (lmrm, IRR = 13.01, 95% CI = 1.69;99.76, P = 0.014). G3m6 (-), FcγRIIA 131R and FcγRIIIB NA1 were more prevalent in young Fulani (P = 0.002, P < 0.001 and P = 0.049, respectively), while no Fulani presented the combined G3m6 (+) - FcγRIIA 131H - FcγRIIC T - FcγRIIIA 176F - FcγRIIIB NA2 haplotype that was carried by a majority of infected children. Our results highlight the combined factors G3m6 - FcγR as potentially involved in the merozoite-phagocytosis capacity and in the natural protection of young Fulani individuals against P. falciparum malaria in Benin.
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Affiliation(s)
| | - Célia Dechavanne
- Université Paris Cité, IRD, UMR261, MERIT, F-75006 Paris, France
| | - Audrey Sabbagh
- Université Paris Cité, IRD, UMR261, MERIT, F-75006 Paris, France
| | - André Garcia
- Université Paris Cité, IRD, UMR261, MERIT, F-75006 Paris, France
| | - David Courtin
- Université Paris Cité, IRD, UMR261, MERIT, F-75006 Paris, France
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7
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Ford EE, Tieri D, Rodriguez OL, Francoeur NJ, Soto J, Kos JT, Peres A, Gibson WS, Silver CA, Deikus G, Hudson E, Woolley CR, Beckmann N, Charney A, Mitchell TC, Yaari G, Sebra RP, Watson CT, Smith ML. FLAIRR-Seq: A Method for Single-Molecule Resolution of Near Full-Length Antibody H Chain Repertoires. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 210:1607-1619. [PMID: 37027017 PMCID: PMC10152037 DOI: 10.4049/jimmunol.2200825] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 03/14/2023] [Indexed: 04/08/2023]
Abstract
Current Adaptive Immune Receptor Repertoire sequencing (AIRR-seq) using short-read sequencing strategies resolve expressed Ab transcripts with limited resolution of the C region. In this article, we present the near-full-length AIRR-seq (FLAIRR-seq) method that uses targeted amplification by 5' RACE, combined with single-molecule, real-time sequencing to generate highly accurate (99.99%) human Ab H chain transcripts. FLAIRR-seq was benchmarked by comparing H chain V (IGHV), D (IGHD), and J (IGHJ) gene usage, complementarity-determining region 3 length, and somatic hypermutation to matched datasets generated with standard 5' RACE AIRR-seq using short-read sequencing and full-length isoform sequencing. Together, these data demonstrate robust FLAIRR-seq performance using RNA samples derived from PBMCs, purified B cells, and whole blood, which recapitulated results generated by commonly used methods, while additionally resolving H chain gene features not documented in IMGT at the time of submission. FLAIRR-seq data provide, for the first time, to our knowledge, simultaneous single-molecule characterization of IGHV, IGHD, IGHJ, and IGHC region genes and alleles, allele-resolved subisotype definition, and high-resolution identification of class switch recombination within a clonal lineage. In conjunction with genomic sequencing and genotyping of IGHC genes, FLAIRR-seq of the IgM and IgG repertoires from 10 individuals resulted in the identification of 32 unique IGHC alleles, 28 (87%) of which were previously uncharacterized. Together, these data demonstrate the capabilities of FLAIRR-seq to characterize IGHV, IGHD, IGHJ, and IGHC gene diversity for the most comprehensive view of bulk-expressed Ab repertoires to date.
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Affiliation(s)
- Easton E. Ford
- Department of Microbiology and Immunology, University of Louisville School of Medicine, Louisville, KY
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - David Tieri
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Oscar L. Rodriguez
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Nancy J. Francoeur
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Juan Soto
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Justin T. Kos
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Ayelet Peres
- Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel
- Bar Ilan Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
| | - William S. Gibson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Catherine A. Silver
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Gintaras Deikus
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Elizabeth Hudson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Cassandra R. Woolley
- Department of Microbiology and Immunology, University of Louisville School of Medicine, Louisville, KY
| | - Noam Beckmann
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Alexander Charney
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Thomas C. Mitchell
- Department of Microbiology and Immunology, University of Louisville School of Medicine, Louisville, KY
| | - Gur Yaari
- Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel
- Bar Ilan Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
| | - Robert P. Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Corey T. Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Melissa L. Smith
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
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8
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Crowley AR, Richardson SI, Tuyishime M, Jennewein M, Bailey MJ, Lee J, Alter G, Ferrari G, Morris L, Ackerman ME. Functional consequences of allotypic polymorphisms in human immunoglobulin G subclasses. Immunogenetics 2023; 75:1-16. [PMID: 35904629 PMCID: PMC9845132 DOI: 10.1007/s00251-022-01272-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 07/07/2022] [Indexed: 01/21/2023]
Abstract
Heritable polymorphisms within the human IgG locus, collectively termed allotypes, have often been linked by statistical associations, but rarely mechanistically, to a wide range of disease states. One potential explanation for these associations is that IgG allotype alters host cell receptors' affinity for IgG, dampening or enhancing an immune response depending on the nature of the change and the receptors. In this work, a panel of allotypic antibody variants were evaluated using multiplexed, label-free biophysical methods and cell-based functional assays to determine what effect, if any, human IgG polymorphisms have on antibody function. While we observed several differences in FcγR affinity among allotypes, there was little evidence of dramatically altered FcγR-based effector function or antigen recognition activity associated with this aspect of genetic variability.
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Affiliation(s)
- Andrew R Crowley
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, USA
| | - Simone I Richardson
- Centre for HIV and STIs, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, 2131, Gauteng, South Africa
- MRC Antibody Immunity Research Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Marina Tuyishime
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC, USA
| | | | - Meredith J Bailey
- Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA
| | - Jiwon Lee
- Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA
| | - Galit Alter
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
| | - Guido Ferrari
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, NC, USA
| | - Lynn Morris
- Centre for HIV and STIs, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, 2131, Gauteng, South Africa
- MRC Antibody Immunity Research Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Margaret E Ackerman
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, USA.
- Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, USA.
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9
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Lefranc MP, Lefranc G. Antibody Sequence and Structure Analyses Using IMGT ®: 30 Years of Immunoinformatics. Methods Mol Biol 2023; 2552:3-59. [PMID: 36346584 DOI: 10.1007/978-1-0716-2609-2_1] [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] [Indexed: 06/16/2023]
Abstract
IMGT®, the international ImMunoGeneTics information system®, http://www.imgt.org , the global reference in immunogenetics and immunoinformatics, was created in 1989 by Marie-Paule Lefranc (Université de Montpellier and CNRS) to manage the huge diversity of the antigen receptors, immunoglobulins (IG) or antibodies, and T cell receptors (TR) of the adaptive immune responses. The founding of IMGT® marked the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. IMGT® standardized analysis of the IG, TR, and major histocompatibility (MH) genes and proteins bridges the gap between sequences and three-dimensional (3D) structures, for all jawed vertebrates from fish to humans. This is achieved through the IMGT Scientific chart rules, based on the IMGT-ONTOLOGY axioms, and primarily CLASSIFICATION (IMGT gene and allele nomenclature) and NUMEROTATION (IMGT unique numbering and IMGT Colliers de Perles). IMGT® comprises seven databases (IMGT/LIGM-DB for nucleotide sequences, IMGT/GENE-DB for genes and alleles, etc.), 17 tools (IMGT/V-QUEST, IMGT/JunctionAnalysis, IMGT/HighV-QUEST for NGS, etc.), and more than 20,000 Web resources. In this chapter, the focus is on the tools for amino acid sequences per domain (IMGT/DomainGapAlign and IMGT/Collier-de-Perles), and on the databases for receptors (IMGT/2Dstructure-DB and IMGT/3D-structure-DB) described per receptor, chain, and domain and, for 3D, with contact analysis, paratope, and epitope. The IMGT/mAb-DB is the query interface for monoclonal antibodies (mAb), fusion proteins for immune applications (FPIA), composite proteins for clinical applications (CPCA), and related proteins of interest (RPI) with links to IMGT® 2D and 3D databases and to the World Health Organization (WHO) International Nonproprietary Names (INN) program lists. The chapter includes the human IG allotypes and antibody engineered variants for effector properties used in the description of therapeutical mAb.
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002 CNRS, Université de Montpellier, Montpellier cedex 5, France.
| | - Gérard Lefranc
- IMGT®, the international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002 CNRS, Université de Montpellier, Montpellier cedex 5, France.
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10
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Pandey JP, Agostini S, Namboodiri AM, Mancuso R, Guerini FR, Meloni M, Costa AS. Immunoglobulin γ chain allotypes and humoral immunity to HSV1 in Parkinson's disease. J Neuroimmunol 2022; 371:577948. [DOI: 10.1016/j.jneuroim.2022.577948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 06/06/2022] [Accepted: 08/03/2022] [Indexed: 11/26/2022]
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11
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Liu Y, Dong Y, Wu X, Wang X, Niu J. Identification of Immune Microenvironment Changes and the Expression of Immune-Related Genes in Liver Cirrhosis. Front Immunol 2022; 13:918445. [PMID: 35903097 PMCID: PMC9315064 DOI: 10.3389/fimmu.2022.918445] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 06/20/2022] [Indexed: 11/13/2022] Open
Abstract
Liver inflammation and the immune response have been recognized as critical contributors to cirrhosis pathogenesis. Immunity-related genes (IRGs) play an essential role in immune cell infiltration and immune reactions; however, the changes in the immune microenvironment and the expression of IRGs involved in cirrhosis remain unclear. CD45+ liver cell single-cell RNA (scRNA) sequencing data (GSE136103) from patients with cirrhosis were analyzed. The clusters were identified as known cell types through marker genes according to previous studies. GO and KEGG analyses among differentially expressed genes (DEGs) were performed. DEGs were screened to identify IRGs based on the ImmPort database. The protein-protein interaction (PPI) network of IRGs was generated using the STRING database. IRGs activity was calculated using the AUCell package. RNA microarray expression data (GSE45050) of cirrhosis were analyzed to confirm common IRGs and IRGs activity. Relevant regulatory transcription factors (TFs) were identified from the Human TFDB database. A total of ten clusters were obtained. CD8+ T cells and NK cells were significantly decreased in patients with cirrhosis, while CD4+ T memory cells were increased. Enrichment analyses showed that the DEGs focused on the regulation of immune cell activation and differentiation, NK-cell mediated cytotoxicity, and antigen processing and presentation. Four common TFs, IRF8, NR4A2, IKZF3, and REL were expressed in both the NK cluster and the DEGs of liver tissues. In conclusion, we proposed that the reduction of the CD8+ T cell cluster and NK cells, as well as the infiltration of CD4+ memory T cells, contributed to immune microenvironment changes in cirrhosis. IRF8, NR4A2, IKZF3, and REL may be involved in the transcriptional regulation of NK cells in liver fibrosis. The identified DEGs, IRGs, and pathways may serve critical roles in the development and progression of liver fibrosis.
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Affiliation(s)
- Yuwei Liu
- Department of Hepatology, Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, China
- Key Laboratory of Zoonosis Research, Ministry of Education, The First Hospital of Jilin University, Changchun, China
- Key Laboratory of Organ Transplantation, Ministry of Education, The First Hospital of Jilin University, Changchun, China
| | - Yutong Dong
- Department of Hepatology, Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, China
- Key Laboratory of Zoonosis Research, Ministry of Education, The First Hospital of Jilin University, Changchun, China
- Key Laboratory of Organ Transplantation, Ministry of Education, The First Hospital of Jilin University, Changchun, China
| | - Xiaojing Wu
- Department of Hepatology, Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, China
- Key Laboratory of Zoonosis Research, Ministry of Education, The First Hospital of Jilin University, Changchun, China
- Key Laboratory of Organ Transplantation, Ministry of Education, The First Hospital of Jilin University, Changchun, China
| | - Xiaomei Wang
- Department of Hepatology, Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, China
- Key Laboratory of Zoonosis Research, Ministry of Education, The First Hospital of Jilin University, Changchun, China
- Key Laboratory of Organ Transplantation, Ministry of Education, The First Hospital of Jilin University, Changchun, China
- *Correspondence: Junqi Niu, ; Xiaomei Wang,
| | - Junqi Niu
- Department of Hepatology, Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, China
- Key Laboratory of Zoonosis Research, Ministry of Education, The First Hospital of Jilin University, Changchun, China
- Key Laboratory of Organ Transplantation, Ministry of Education, The First Hospital of Jilin University, Changchun, China
- *Correspondence: Junqi Niu, ; Xiaomei Wang,
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12
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IgG3 constant region GM (γ marker) allotypes could influence the neutralizing potency of anti-SARS-CoV-2 monoclonal antibodies. Proc Natl Acad Sci U S A 2022; 119:2119380119. [PMID: 35105812 PMCID: PMC8833157 DOI: 10.1073/pnas.2119380119] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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13
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Lindeman I, Polak J, Qiao S, Holmøy T, Høglund RA, Vartdal F, Berg‐Hansen P, Sollid LM, Lossius A. Stereotyped B‐cell responses are linked to IgG constant region polymorphisms in multiple sclerosis. Eur J Immunol 2022; 52:550-565. [DOI: 10.1002/eji.202149576] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 11/19/2021] [Accepted: 01/10/2022] [Indexed: 11/07/2022]
Affiliation(s)
- Ida Lindeman
- Department of Immunology Oslo University Hospital Oslo Norway
- Department of Immunology Institute of Clinical Medicine University of Oslo Norway
- K.G. Jebsen Coeliac Disease Research Centre University of Oslo Norway
| | - Justyna Polak
- Department of Immunology Institute of Clinical Medicine University of Oslo Norway
- K.G. Jebsen Coeliac Disease Research Centre University of Oslo Norway
| | - Shuo‐Wang Qiao
- Department of Immunology Oslo University Hospital Oslo Norway
- Department of Immunology Institute of Clinical Medicine University of Oslo Norway
- K.G. Jebsen Coeliac Disease Research Centre University of Oslo Norway
| | - Trygve Holmøy
- Department of Neurology Akershus University Hospital Lørenskog Norway
- Department of Neurology Institute of Clinical Medicine University of Oslo Norway
| | - Rune A. Høglund
- Department of Neurology Akershus University Hospital Lørenskog Norway
- Department of Neurology Institute of Clinical Medicine University of Oslo Norway
| | - Frode Vartdal
- Department of Immunology Institute of Clinical Medicine University of Oslo Norway
- K.G. Jebsen Coeliac Disease Research Centre University of Oslo Norway
| | - Pål Berg‐Hansen
- Department of Neurology Oslo University Hospital Oslo Norway
| | - Ludvig M. Sollid
- Department of Immunology Oslo University Hospital Oslo Norway
- Department of Immunology Institute of Clinical Medicine University of Oslo Norway
- K.G. Jebsen Coeliac Disease Research Centre University of Oslo Norway
| | - Andreas Lossius
- K.G. Jebsen Coeliac Disease Research Centre University of Oslo Norway
- Department of Neurology Akershus University Hospital Lørenskog Norway
- Department of Molecular Medicine Institute of Basic Medical Sciences University of Oslo Norway
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14
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Treger RS, Fink SL. Beyond Titer: Expanding the Scope of Clinical Autoantibody Testing. J Appl Lab Med 2022; 7:99-113. [DOI: 10.1093/jalm/jfab123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 09/17/2021] [Indexed: 11/14/2022]
Abstract
Abstract
Background
Autoantibodies that bind self-antigens are a hallmark of autoimmune diseases, but can also be present in healthy individuals. Clinical assays that detect and titer antigen-specific autoantibodies are an important component of the diagnosis and monitoring of autoimmune diseases. Autoantibodies may contribute to disease pathogenesis via effector functions that are dictated by both the antigen-binding site and constant domain.
Content
In this review, we discuss features of antibodies, in addition to antigen-binding specificity, which determine effector function. These features include class, subclass, allotype, and glycosylation. We discuss emerging data indicating that analysis of these antibody features may be informative for diagnosis and monitoring of autoimmune diseases. We also consider methodologies to interrogate these features and consider how they could be implemented in the clinical laboratory.
Summary
Future autoantibody assays may incorporate assessment of additional antibody features that contribute to autoimmune disease pathogenesis and provide added clinical value.
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Affiliation(s)
- Rebecca S Treger
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Susan L Fink
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
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15
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Genetic Profiling in Children With Acute Lymphoblastic Leukemia Referred for Allogeneic Hematopoietic Stem Cell Transplantation. Cancer Control 2022; 29:10732748211064776. [PMID: 35470705 PMCID: PMC9052811 DOI: 10.1177/10732748211064776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction Hematopoietic stem cell transplantation (HSCT) is the essential and often the
only curative therapeutic option in high risk and relapsed pediatric acute
lymphoblastic leukemia (ALL). Methods The objective of the study was to investigate whole-genome expression in
children with high risk or relapsed ALL referred for HSCT. Gene expression
was assessed in 18 children with ALL referred for HSCT (10 high risk, 8
relapsed; median age of 9.4 years) and in a control group of 38 obese
children (median age of 14.1 years). Whole-genome expression was assessed in
leukocytes using GeneChip® HumanGene 1.0 ST microarray. Results The analysis of genomic profiles revealed a significantly lower expression of
21 genes with a defined function, involved in immunoglobulin production,
lymphocyte function, or regulation of DNA processing in ALL patients
referred for HSCT compared with the control group. Conclusion Genome expression of patients with ALL in remission referred to HSCT revealed
deep immunosuppression of both B-cell and T-cell lineages, which may
increase the probability of donor cell engraftment.
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16
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van Tilburg SJ, Jacobs BC, Ooijevaar-de Heer P, Fokkink WJR, Huizinga R, Vidarsson G, Rispens T. Novel approach to monitor intravenous immunoglobulin pharmacokinetics in humans using polymorphic determinants in IgG1 constant domains. Eur J Immunol 2021; 52:609-617. [PMID: 34854474 DOI: 10.1002/eji.202149653] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 11/20/2021] [Indexed: 12/12/2022]
Abstract
Clinical efficacy of intravenous immunoglobulin treatment (IVIg) is related to its pharmacokinetic (PK) profile. Its usual evaluation, by measuring serum total IgG levels, is imprecise, because IVIg cannot be distinguished from endogenous IgG. We developed ELISAs to specifically monitor the PK of IVIg using the polymorphic determinants G1m(a), G1m(x), and G1m(f). The specificity of the IgG1 allotype assays was sufficient to determine IVIg concentrations as low as 0.1 mg/mL in sera from individuals not expressing the respective markers. IVIg was quantified in posttreatment serum from patients with Guillain-Barré syndrome (GBS) by measuring IgG1 allotypes not expressed endogenously. After serotyping, 27/28 GBS patients were found eligible for IVIg monitoring using one or two genetic markers. In 17 cases, IVIg levels could be determined by both anti-G1m(a) and anti-G1m(x) measurement, showing significant correlation. Longitudinal monitoring of IVIg PK in seven GBS patients showed potential differences in clearance of total IgG versus IVIg-derived IgG, highlighting that total IgG measurements may not accurately reflect IVIg PK. To summarize, anti-IgG1 allotype assays can discriminate between endogenous IgG and therapeutic polyclonal IgG. These assays will be an important tool to better understand the variability in IVIg PK and treatment response of all patients treated with IVIg.
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Affiliation(s)
- Sander J van Tilburg
- Department of Immunology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Bart C Jacobs
- Department of Immunology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Pleuni Ooijevaar-de Heer
- Department of Immunopathology, Sanquin Research and Landsteiner Laboratory, Amsterdam, The Netherlands
| | - Willem-Jan R Fokkink
- Department of Immunology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Ruth Huizinga
- Department of Immunology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Gestur Vidarsson
- Department of Experimental Immunohematology, Sanquin Research and Landsteiner Laboratory, Amsterdam, The Netherlands
| | - Theo Rispens
- Department of Immunopathology, Sanquin Research and Landsteiner Laboratory, Amsterdam, The Netherlands
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17
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Bashirova AA, Zheng W, Akdag M, Augusto DG, Vince N, Dong KL, O'hUigin C, Carrington M. Population-specific diversity of the immunoglobulin constant heavy G chain (IGHG) genes. Genes Immun 2021; 22:327-334. [PMID: 34864821 PMCID: PMC8674132 DOI: 10.1038/s41435-021-00156-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 11/11/2021] [Accepted: 11/22/2021] [Indexed: 12/27/2022]
Abstract
Human immunoglobulin G (IgG) molecules, IgG1, IgG2 and IgG3, exhibit substantial inter-individual variation in their constant heavy chain regions, as discovered by serological methods. This polymorphism is encoded by the IGHG1, IGHG2, and IGHG3 genes and may influence antibody function. We sequenced the coding fragments of these genes in 95 European Americans, 94 African Americans, and 94 Black South Africans. Striking differences were observed between the population groups, including extremely low amino acid sequence variation in IGHG1 among South Africans, and higher IGHG2 and IGHG3 diversity in individuals of African descent compared to individuals of European descent. Molecular definition of the loci illustrates a greater level of allelic polymorphism than previously described, including the presence of common IGHG2 and IGHG3 variants that were indistinguishable serologically. Comparison of our data with the 1000 Genome Project sequences indicates overall agreement between the datasets, although some inaccuracies in the 1000 Genomes Project are likely. These data represent the most comprehensive analysis of IGHG polymorphisms across major populations, which can now be applied to deciphering their functional impact.
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Affiliation(s)
- Arman A Bashirova
- Basic Science Program, Frederick National Laboratory for Cancer Research in the Laboratory of Integrative Cancer Immunology, National Cancer Institute, Bethesda, MD, USA
| | - Wanjing Zheng
- The Laboratory of Integrative Cancer Immunology, National Cancer Institute, Bethesda, MD, USA
| | - Marjan Akdag
- Basic Science Program, Frederick National Laboratory for Cancer Research in the Laboratory of Integrative Cancer Immunology, National Cancer Institute, Bethesda, MD, USA
| | - Danillo G Augusto
- Programa de Pós-Graduação em Genética, Universidade Federal do Paraná, Curitiba, Brazil
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Nicolas Vince
- Université de Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, F-44000, Nantes, France
| | - Krista L Dong
- Females Rising through Education, Support, and Health, Durban, KwaZulu-Natal, South Africa
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Colm O'hUigin
- Basic Science Program, Frederick National Laboratory for Cancer Research in the Laboratory of Integrative Cancer Immunology, National Cancer Institute, Bethesda, MD, USA
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research in the Laboratory of Integrative Cancer Immunology, National Cancer Institute, Bethesda, MD, USA.
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA.
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18
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Richardson SI, Ayres F, Manamela NP, Oosthuysen B, Makhado Z, Lambson BE, Morris L, Moore PL. HIV Broadly Neutralizing Antibodies Expressed as IgG3 Preserve Neutralization Potency and Show Improved Fc Effector Function. Front Immunol 2021; 12:733958. [PMID: 34566999 PMCID: PMC8462932 DOI: 10.3389/fimmu.2021.733958] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 08/19/2021] [Indexed: 11/22/2022] Open
Abstract
The ability of several broadly neutralizing antibodies (bNAbs) to protect against HIV infection is enhanced through Fc receptor binding. Antibody isotype modulates this effect, with IgG3 associated with improved HIV control and vaccine efficacy. We recently showed that an IgG3 variant of bNAb CAP256-VRC26.25 exhibited more potent neutralization and phagocytosis than its IgG1 counterpart. Here, we expanded this analysis to include additional bNAbs targeting all major epitopes. A total of 15 bNAbs were expressed as IgG1 or IgG3, and pairs were assessed for neutralization potency against the multi-subtype global panel of 11 HIV strains. Binding to the neonatal Fc receptor (FcRn) and Fcγ receptors were measured using ELISA and antibody-dependent cellular cytotoxicity (ADCC) and phagocytosis were measured using infectious viruses and global panel Env SOSIP trimers, respectively. IgG3 bNAbs generally showed similar or increased (up to 60 fold) neutralization potency than IgG1 versions, though the effect was virus-specific. This improvement was statistically significant for CAP256-VRC26.25, 35022, PGT135 and CAP255.G3. IgG3 bNAbs also showed significantly improved binding to FcγRIIa which correlated with enhanced phagocytosis of all trimeric Env antigens. Differences in ADCC were epitope-specific, with IgG3 bNAbs to the MPER, CD4 binding site and gp120-gp41 interface showing increased ADCC. We also explored the pH dependence of IgG1 and IgG3 variants for FcRn binding, as this determines the half-life of antibodies. We observed reduced pH dependence, associated with shorter half-lives for IgG3 bNAbs, with κ-light chains. However, IgG3 bNAbs that use λ-light chains showed similar pH dependence to their IgG1 counterparts. This study supports the manipulation of the constant region to improve both the neutralizing and Fc effector activity of bNAbs, and suggests that IgG3 versions of bNAbs may be preferable for passive immunity given their polyfunctionality.
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Affiliation(s)
- Simone I Richardson
- Centre for HIV and STI's, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa.,Medical Research Council (MRC) Antibody Immunity Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Frances Ayres
- Centre for HIV and STI's, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa
| | - Nelia P Manamela
- Centre for HIV and STI's, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa
| | - Brent Oosthuysen
- Centre for HIV and STI's, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa
| | - Zanele Makhado
- Centre for HIV and STI's, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa
| | - Bronwen E Lambson
- Centre for HIV and STI's, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa.,Medical Research Council (MRC) Antibody Immunity Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Lynn Morris
- Centre for HIV and STI's, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa.,Medical Research Council (MRC) Antibody Immunity Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
| | - Penny L Moore
- Centre for HIV and STI's, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa.,Medical Research Council (MRC) Antibody Immunity Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
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19
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Barton JC, Barton JC, Bertoli LF, Acton RT. Factors associated with IgG levels in adults with IgG subclass deficiency. BMC Immunol 2021; 22:53. [PMID: 34372773 PMCID: PMC8353875 DOI: 10.1186/s12865-021-00447-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 08/04/2021] [Indexed: 12/12/2022] Open
Abstract
Background Factors associated with IgG levels in adults with IgG subclass deficiency (IgGSD) are incompletely understood. We studied adults with IgGSD with subnormal IgG1 only, subnormal IgG1/IgG3, or subnormal IgG3 only without other subnormal IgG subclasses, IgA, or IgM. We compiled: age; sex; autoimmune condition(s) (AC); atopy; IgG, IgG subclasses, IgA, IgM; IgGsum (IgG1 + IgG2 + IgG3 + IgG4); and D (percentage difference between IgGsum and IgG). We compared attributes of patients with/without subnormal IgG (< 7.00 g/L; subnormal IgG1 subclass groups only) and analyzed IgGsum and IgG relationships. We performed backward stepwise regressions on IgG using independent variables IgG subclasses, age, and sex and on D using independent variables age and sex. Results There were 39 patients with subnormal IgG1 only (89.7% women), 53 with subnormal IgG1/IgG3 (88.7% women), and 115 with subnormal IgG3 only (91.3% women). Fifteen patients (38.5%) and 32 patients (60.4%) in the respective subnormal IgG1 subclass groups had subnormal IgG. Attributes of patients with/without IgG < 7.00 g/L were similar, except that AC prevalence was lower in patients with subnormal IgG1 only and IgG < 7.00 g/L than ≥ 7.00 g/L (p = 0.0484). Mean/median IgG1 and IgG2 were significantly lower in patients with IgG < 7.00 g/L in both subnormal IgG1 subclass groups (p < 0.0001, all comparisons). Regressions on IgG in three subclass groups revealed positive associations with IgG1 and IgG2 (p < 0.0001 each association). Regressions on D revealed no significant association. IgG1 percentages of IgGsum were lower and IgG2 percentages were higher in patients with subnormal IgG1 subclass levels than subnormal IgG3 only (p < 0.0001 all comparisons). Conclusions We conclude that both IgG1 and IgG2 are major determinants of IgG in patients with subnormal IgG1, combined subnormal IgG1/IgG3, or subnormal IgG3 and that in patients with subnormal IgG1 or combined subnormal IgG1/IgG3, median IgG2 levels are significantly lower in those with IgG < 7.00 g/L than those with IgG ≥ 7.00 g/L. Supplementary Information The online version contains supplementary material available at 10.1186/s12865-021-00447-3.
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Affiliation(s)
- James C Barton
- University of Alabama at Birmingham, Birmingham, AL, USA. .,Southern Iron Disorders Center, Birmingham, AL, USA. .,Department of Medicine, Brookwood Medical Center, Birmingham, AL, USA.
| | | | - Luigi F Bertoli
- Southern Iron Disorders Center, Birmingham, AL, USA.,Department of Medicine, Brookwood Medical Center, Birmingham, AL, USA
| | - Ronald T Acton
- Southern Iron Disorders Center, Birmingham, AL, USA.,Department of Microbiology, University of Alabama At Birmingham, Birmingham, AL, USA
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20
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Anti-inflammatory activity of CD44 antibodies in murine immune thrombocytopenia is mediated by Fcγ receptor inhibition. Blood 2021; 137:2114-2124. [PMID: 33662988 DOI: 10.1182/blood.2020009497] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 02/11/2021] [Indexed: 02/03/2023] Open
Abstract
Monoclonal immunoglobulin G (IgG) antibodies to CD44 (anti-CD44) are anti-inflammatory in numerous murine autoimmune models, but the mechanisms are poorly understood. Anti-CD44 anti-inflammatory activity shows complete therapeutic concordance with IV immunoglobulin (IVIg) in treating autoimmune disease models, making anti-CD44 a potential IVIg alternative. In murine immune thrombocytopenia (ITP), there is no mechanistic explanation for anti-CD44 activity, although anti-CD44 ameliorates disease similarly to IVIg. Here, we demonstrate a novel anti-inflammatory mechanism of anti-CD44 that explains disease amelioration by anti-CD44 in murine ITP. Macrophages treated with anti-CD44 in vitro had dramatically suppressed phagocytosis through FcγRs in 2 separate systems of IgG-opsonized platelets and erythrocytes. Phagocytosis inhibition by anti-CD44 was mediated by blockade of the FcγR IgG binding site without changing surface FcγR expression. Anti-CD44 of different subclasses revealed that FcγR blockade was specific to receptors that could be engaged by the respective anti-CD44 subclass, and Fc-deactivated anti-CD44 variants lost all FcγR-inhibiting activity. In vivo, anti-CD44 functioned analogously in the murine passive ITP model and protected mice from ITP when thrombocytopenia was induced through an FcγR that could be engaged by the CD44 antibody's subclass. Consistent with FcγR blockade, Fc-deactivated variants of anti-CD44 were completely unable to ameliorate ITP. Together, anti-CD44 inhibits macrophage FcγR function and ameliorates ITP consistent with an FcγR blockade mechanism. Anti-CD44 is a potential IVIg alternative and may be of particular benefit in ITP because of the significant role that FcγRs play in human ITP pathophysiology.
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21
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Immunoglobulin germline gene variation and its impact on human disease. Genes Immun 2021; 22:205-217. [PMID: 34175903 PMCID: PMC8234759 DOI: 10.1038/s41435-021-00145-5] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 06/01/2021] [Accepted: 06/10/2021] [Indexed: 02/06/2023]
Abstract
Immunoglobulins (Ig) play an important role in the immune system both when expressed as antigen receptors on the cell surface of B cells and as antibodies secreted into extracellular fluids. The advent of high-throughput sequencing methods has enabled the investigation of human Ig repertoires at unprecedented depth. This has led to the discovery of many previously unreported germline Ig alleles. Moreover, it is becoming clear that convergent and stereotypic antibody responses are common where different individuals recognise defined antigenic epitopes with the use of the same Ig V genes. Thus, germline V gene variation is increasingly being linked to the differential capacity of generating an effective immune response, which might lead to varying disease susceptibility. Here, we review recent evidence of how germline variation in Ig genes impacts the Ig repertoire and its subsequent effects on the adaptive immune response in vaccination, infection, and autoimmunity.
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22
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Chu TH, Patz EF, Ackerman ME. Coming together at the hinges: Therapeutic prospects of IgG3. MAbs 2021; 13:1882028. [PMID: 33602056 PMCID: PMC7899677 DOI: 10.1080/19420862.2021.1882028] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 01/08/2021] [Accepted: 01/22/2021] [Indexed: 01/22/2023] Open
Abstract
The human IgG3 subclass is conspicuously absent among the formats for approved monoclonal antibody therapies and Fc fusion protein biologics. Concern about the potential for rapid degradation, reduced plasma half-life, and increased immunogenicity due to marked variation in allotypes has apparently outweighed the potential advantages of IgG3, which include high affinity for activating Fcγ receptors, effective complement fixation, and a long hinge that appears better suited for low abundance targets. This review aims to highlight distinguishing features of IgG3 and to explore its functional role in the immune response. We present studies of natural immunity and recombinant antibody therapies that elucidate key contributions of IgG3 and discuss historical roadblocks that no longer remain clearly relevant. Collectively, this body of evidence motivates thoughtful reconsideration of the clinical advancement of this distinctive antibody subclass for treatment of human diseases. Abbreviations: ADCC - Antibody-Dependent Cell-mediated CytotoxicityADE - Antibody-dependent enhancementAID - Activation-Induced Cytidine DeaminaseCH - Constant HeavyCHF - Complement factor HCSR - Class Switch RecombinationEM - Electron MicroscopyFab - Fragment, antigen bindingFc - Fragment, crystallizableFcRn - Neonatal Fc ReceptorFcγR - Fc gamma ReceptorHIV - Human Immunodeficiency VirusIg - ImmunoglobulinIgH - Immunoglobulin Heavy chain geneNHP - Non-Human Primate.
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Affiliation(s)
- Thach H. Chu
- Thayer School of Engineering, Dartmouth College, Hanover, NH, USA
| | - Edward F. Patz
- Department of Radiology and Department of Pharmacology & Cancer Biology, Duke University Medical Center, Durham, NC, USA
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Kang SH, Lee CH. Development of Therapeutic Antibodies and Modulating the Characteristics of Therapeutic Antibodies to Maximize the Therapeutic Efficacy. BIOTECHNOL BIOPROC E 2021; 26:295-311. [PMID: 34220207 PMCID: PMC8236339 DOI: 10.1007/s12257-020-0181-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 08/13/2020] [Accepted: 08/17/2020] [Indexed: 02/06/2023]
Abstract
Monoclonal antibodies (mAb) have been used as therapeutic agents for various diseases, and immunoglobulin G (IgG) is mainly used among antibody isotypes due to its structural and functional properties. So far, regardless of the purpose of the therapeutic antibody, wildtype IgG has been mainly used, but recently, the engineered antibodies with various strategies according to the role of the therapeutic antibody have been used to maximize the therapeutic efficacy. In this review paper, first, the overall structural features and functional characteristics of antibody IgG, second, the old and new techniques for antibody discovery, and finally, several antibody engineering strategies for maximizing therapeutic efficacy according to the role of a therapeutic antibody will be introduced.
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Affiliation(s)
- Seung Hyun Kang
- grid.31501.360000 0004 0470 5905Department of Pharmacology, Seoul National University College of Medicine, Seoul, 03080 Korea
| | - Chang-Han Lee
- grid.31501.360000 0004 0470 5905Department of Pharmacology, Seoul National University College of Medicine, Seoul, 03080 Korea ,grid.31501.360000 0004 0470 5905Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080 Korea ,Hongcheon, 25159 Korea ,grid.31501.360000 0004 0470 5905SNU Dementia Research Center, Seoul National University College of Medicine, Seoul, 03080 Korea
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24
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Fall AKDJ, Dechavanne C, Sabbagh A, Guitard E, Milet J, Garcia A, Dugoujon JM, Courtin D, Migot-Nabias F. Susceptibility to Plasmodium falciparum Malaria: Influence of Combined Polymorphisms of IgG3 Gm Allotypes and Fc Gamma Receptors IIA, IIIA, and IIIB. Front Immunol 2020; 11:608016. [PMID: 33424858 PMCID: PMC7786284 DOI: 10.3389/fimmu.2020.608016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 11/13/2020] [Indexed: 02/04/2023] Open
Abstract
The binding of immunoglobulin (Ig) to Fc gamma receptors (FcgR) at the immune cell surface is an important step to initiate immunological defense against malaria. However, polymorphisms in receptors and/or constant regions of the IgG heavy chains may modulate this binding. Here, we investigated whether polymorphisms located in FcgR and constant regions of the heavy chain of IgG are associated with susceptibility to P. falciparum malaria. For this purpose, a clinical and parasitological follow-up on malaria was conducted among 656 infants in southern Benin. G3m allotypes (from total IgG3) were determined by a serological method of hemagglutination inhibition. FcgRIIA 131R/H and FcgRIIIA 176F/V genotypes were determined using the TaqMan method and FcgRIIIB NA1/NA2 genotypes were assessed by polymerase chain reaction using allele-specific primers. Association analyses between the number of malaria infections during the follow-up and polymorphisms in IgG G3m allotypes and FcgR were studied independently by zero inflated binomial negative regression. The influence of combinations of G3m allotypes and FcgRIIA/FcgRIIIA/FcgRIIIB polymorphisms on the number of P. falciparum infections, and their potential interaction with environmental exposure to malaria was assessed by using the generalized multifactor dimensionality reduction (GMDR) method. Results showed that individual carriage of G3m24 single allotype and of G3m5,6,10,11,13,14,24 phenotype was independently associated with a high risk of malaria infection. A risk effect for G3m6 was observed only under high environmental exposure. FcgRIIIA 176VV single genotype and combined carriage of FcgRIIA 131RH/FcgRIIIA 176VV/FcgRIIIB NA1NA2, FcgRIIA 131HH/FcgRIIIA 176FF/FcgRIIIB NA1NA1, FcgRIIA 131HH/FcgRIIIA 176VV/FcgRIIIB NA2NA2 and FcgRIIA 131HH/FcgRIIIA 176VV/FcgRIIIB NA1NA2 genotypes were related to a high number of malaria infections. The risk was accentuated for FcgRIIIA 176VV when considering the influence of environmental exposure to malaria. Finally, the GMDR analysis including environmental exposure showed strengthened associations with a malaria risk when FcgRIIA/FcgRIIIA/FcgRIIIB genotypes were combined to G3m5,6,11,24 and G3m5,6,10,11,13,15,24 phenotypes or G3m10 and G3m13 single allotypes. Our results highlight the relevance of studying IgG heavy chain and FcgR polymorphisms, independently as well as in combination, in relation to the individual susceptibility to P. falciparum infection. The intensity of individual exposure to mosquito bites was demonstrated to impact the relationships found.
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Affiliation(s)
| | - Celia Dechavanne
- Université de Paris, Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Paris, France
| | - Audrey Sabbagh
- Université de Paris, Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Paris, France
| | - Evelyne Guitard
- CNRS UMR 5288 Laboratoire d'Anthropologie Moléculaire et d'Imagerie de Synthèse (AMIS), Université Paul Sabatier Toulouse III, Toulouse, France
| | - Jacqueline Milet
- Université de Paris, Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Paris, France
| | - André Garcia
- Université de Paris, Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Paris, France
| | - Jean-Michel Dugoujon
- CNRS UMR 5288 Laboratoire d'Anthropologie Moléculaire et d'Imagerie de Synthèse (AMIS), Université Paul Sabatier Toulouse III, Toulouse, France
| | - David Courtin
- Université de Paris, Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Paris, France
| | - Florence Migot-Nabias
- Université de Paris, Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Paris, France
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25
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Coelho CH, Nadakal ST, Gonzales Hurtado P, Morrison R, Galson JD, Neal J, Wu Y, King CR, Price V, Miura K, Wong-Madden S, Alamou Doritchamou JY, Narum DL, MacDonald NJ, Snow-Smith M, Vignali M, Taylor JJ, Lefranc MP, Trück J, Long CA, Sagara I, Fried M, Duffy PE. Antimalarial antibody repertoire defined by plasma IG proteomics and single B cell IG sequencing. JCI Insight 2020; 5:143471. [PMID: 33048842 PMCID: PMC7710313 DOI: 10.1172/jci.insight.143471] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 10/07/2020] [Indexed: 01/15/2023] Open
Abstract
Plasma antimalarial Ab can mediate antiparasite immunity but has not previously been characterized at the molecular level. Here, we develop an innovative strategy to characterize humoral responses by integrating profiles of plasma immunoglobulins (IGs) or Abs with those expressed on B cells as part of the B cell receptor. We applied this strategy to define plasma IG and to determine variable (V) gene usage after vaccination with the Plasmodium falciparum zygote antigen Pfs25. Using proteomic tools coupled with bulk immunosequencing data, we determined human antigen-binding fragment [F(ab')2] peptide sequences from plasma IG of adults who received 4 doses of Pfs25-EPA/Alhydrogel. Specifically, Pfs25 antigen-specific F(ab')2 peptides (Pfs25-IG) were aligned to cDNA sequences of IG heavy (IGH) chain complementarity determining region 3 from a data set generated by total peripheral B cell immunosequencing of the entire vaccinated population. IGHV4 was the most commonly identified IGHV subgroup of Pfs25-IG, a pattern that was corroborated by V heavy/V light chain sequencing of Pfs25-specific single B cells from 5 vaccinees and by matching plasma Pfs25-IG peptides and V-(D)-J sequences of Pfs25-specific single B cells from the same donor. Among 13 recombinant human mAbs generated from IG sequences of Pfs25-specific single B cells, a single IGHV4 mAb displayed strong neutralizing activity, reducing the number of P. falciparum oocysts in infected mosquitoes by more than 80% at 100 μg/mL. Our approach characterizes the human plasma Ab repertoire in response to the Pfs25-EPA/Alhydrogel vaccine and will be useful for studying circulating Abs in response to other vaccines as well as those induced during infections or autoimmune disorders.
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MESH Headings
- Adjuvants, Immunologic
- Adolescent
- Adult
- Antibodies, Monoclonal/blood
- Antibodies, Monoclonal/immunology
- Antibodies, Protozoan/blood
- Antibodies, Protozoan/immunology
- Antigens, Protozoan/immunology
- Antimalarials/administration & dosage
- Antimalarials/immunology
- B-Lymphocytes/immunology
- Clinical Trials as Topic
- Female
- Humans
- Immunoglobulins/blood
- Immunoglobulins/immunology
- Malaria Vaccines/administration & dosage
- Malaria Vaccines/immunology
- Malaria, Falciparum/blood
- Malaria, Falciparum/immunology
- Malaria, Falciparum/parasitology
- Malaria, Falciparum/prevention & control
- Male
- Middle Aged
- Plasmodium falciparum/immunology
- Protozoan Proteins/immunology
- Vaccination
- Young Adult
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Affiliation(s)
- Camila H. Coelho
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Steven T. Nadakal
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Patricia Gonzales Hurtado
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Robert Morrison
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Jacob D. Galson
- University Children’s Hospital Zurich, Zurich, Switzerland
- Alchemab Therapeutics Ltd, London, United Kingdom
| | - Jillian Neal
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Yimin Wu
- PATH’s Malaria Vaccine Initiative, Washington, DC, USA
| | | | | | - Kazutoyo Miura
- Laboratory of Malaria and Vector and Research, National Institute of Allergy and Infectious Diseases, NIH, Rockville, Maryland, USA
| | - Sharon Wong-Madden
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Justin Yai Alamou Doritchamou
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - David L. Narum
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Nicholas J. MacDonald
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Maryonne Snow-Smith
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Marissa Vignali
- Laboratory of Malaria and Vector and Research, National Institute of Allergy and Infectious Diseases, NIH, Rockville, Maryland, USA
- Adaptive Biotechnologies Corp, Seattle, Washington, USA
| | - Justin J. Taylor
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Marie-Paule Lefranc
- IMGT, the International ImMunoGeneTics Information System, Laboratoire d’ImmunoGénétique Moléculaire, Institut de Génétique Humaine, UMR9002 CNRS, Université de Montpellier, Montpellier, France
| | - Johannes Trück
- University Children’s Hospital Zurich, Zurich, Switzerland
| | - Carole A. Long
- Laboratory of Malaria and Vector and Research, National Institute of Allergy and Infectious Diseases, NIH, Rockville, Maryland, USA
| | - Issaka Sagara
- Malaria Research and Training Center, University of Sciences, Techniques, and Technologies, Bamako, Mali
| | - Michal Fried
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Patrick E. Duffy
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
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26
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Gorovits B. Current Considerations for Immunoglobulin Isotype Characterization of Antibody Response against Biotherapeutics. AAPS JOURNAL 2020; 22:144. [PMID: 33161459 DOI: 10.1208/s12248-020-00530-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 10/30/2020] [Indexed: 12/15/2022]
Abstract
The ability of biotherapeutics to induce immune response in patients has been broadly accepted. Humoral immune response to biotherapeutics is expected to be polyclonal in nature with a high degree of diversity, including treatment-induced anti-drug antibodies (ADA) immunoglobulin isotype composition. Therapeutics with strong potential to induce immunity may produce a T cell-dependent response resulting in a gradual transition from initial IgM based to mature, IgG-based ADAs. Immunoglobulin class switch and transition to high affinity IgG1 and IgG4 antibodies were linked to a reduced drug efficacy, accelerated clearance, development of drug neutralizing antibodies, and modulation of hypersensitivity reaction rates. Examples presented herein demonstrate that understanding of isotype composition of ADA response can be highly important to predict future of disease progression. Isotype characterization of ADA response can be viewed highly useful, particularly for high immunogenicity risk biotherapeutics although may be less relevant or used as a research tool only for medium and low immunogenicity risk level therapeutics. Isotype-specific characteristics, methods of detection, and several case studies are presented herein.
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27
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Pandey JP, Kothera RT, Liu S, Costa AS, Mancuso R, Agostini S. Immunoglobulin Genes and Immunity to HSV1 in Alzheimer's Disease. J Alzheimers Dis 2020; 70:917-924. [PMID: 31306125 DOI: 10.3233/jad-190265] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Although genome-wide association studies (GWAS) of late-onset Alzheimer's disease (AD) have identified numerous genes that influence the risk for disease, the majority of the genetic variance of AD remains uncharacterized. Furthermore, current GWAS, despite their name, do not evaluate all genes in the human genome. One such gene complex is immunoglobulin GM (γ marker) genes on chromosome 14. GM genes are excellent candidate genes for AD because they influence immunity to herpes simplex virus type 1 (HSV1), which has been implicated in AD pathology by an increasing number of reports. The aim of this investigation was to determine if particular GM genotypes were associated with AD and mild cognitive impairment (MCI), and whether they contributed to the interindividual differences in the level of anti-HSV1 IgG antibodies. A total of 141 HSV1 seropositive individuals-56 AD patients, 48 MCI individuals, and 37 sex- and age-matched healthy controls-were characterized for GM alleles 3, 17, and 23. The homozygosity for the GM 3 allele was significantly associated with MCI (p = 0.025). GM 3/17 heterozygous AD patients had significantly higher levels of anti-HSV1 antibodies than the healthy controls expressing the same genotype (p = 0.0004). Among MCI subjects, the GM 3/17 genotype was associated with significantly higher level of anti-HSV1 antibodies as compared to the GM 17/17 homozygous genotype (pc = 0.040). Among AD patients, the GM 23+/-genotype was significantly associated with anti-HSV1 antibody responses (pc = 0.025). These results suggest that GM genes could act as potential unifiers of the genetic and viral etiology of AD.
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Affiliation(s)
- Janardan P Pandey
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC, USA
| | - Ronald T Kothera
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC, USA
| | - Shufeng Liu
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC, USA
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28
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Peter HH, Ochs HD, Cunningham-Rundles C, Vinh DC, Kiessling P, Greve B, Jolles S. Targeting FcRn for immunomodulation: Benefits, risks, and practical considerations. J Allergy Clin Immunol 2020; 146:479-491.e5. [PMID: 32896308 PMCID: PMC7471860 DOI: 10.1016/j.jaci.2020.07.016] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 07/21/2020] [Accepted: 07/23/2020] [Indexed: 02/08/2023]
Abstract
The neonatal fragment crystallizable (Fc) receptor (FcRn) functions as a recycling mechanism to prevent degradation and extend the half-life of IgG and albumin in the circulation. Several FcRn inhibitors selectively targeting IgG recycling are now moving rapidly toward clinical practice in neurology and hematology. These molecules accelerate the destruction of IgG, reducing pathogenic IgG and IgG immune complexes, with no anticipated effects on IgA, IgM, IgE, complement, plasma cells, B cells, or other cells of the innate or adaptive immune systems. FcRn inhibitors have potential for future use in a much wider variety of antibody-mediated autoimmune diseases. Given the imminent clinical use, potential for broader utility, and novel mechanism of action of FcRn inhibitors, here we review data from 4 main sources: (a) currently available activity, safety, and mechanism-of-action data from clinical trials of FcRn inhibitors; (b) other procedures and treatments that also remove IgG (plasma donation, plasma exchange, immunoadsorption); (c) diseases resulting in loss of IgG; and (d) primary immunodeficiencies with potential mechanistic similarities to those induced by FcRn inhibitors. These data have been evaluated to provide practical considerations for the assessment, monitoring, and reduction of any potential infection risk associated with FcRn inhibition, in addition to highlighting areas for future research.
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Affiliation(s)
- Hans-Hartmut Peter
- Freiburg University Hospital, Centre for Chronic Immunodeficiency, Freiburg, Germany
| | - Hans D Ochs
- Seattle Children's Research Institute, Seattle, Wash; Department of Pediatrics, University of Washington, Seattle, Wash
| | | | - Donald C Vinh
- Division of Infectious Diseases, Department of Medicine and Department of Medical Microbiology, McGill University Health Centre, Montreal, Quebec, Canada; Infectious Diseases & Immunity in Global Health Program, Research Institute-McGill University Health Centre, Montreal, Quebec, Canada
| | | | | | - Stephen Jolles
- Immunodeficiency Centre for Wales, University Hospital of Wales, Cardiff, United Kingdom.
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29
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Lefranc MP, Lefranc G. Immunoglobulins or Antibodies: IMGT ® Bridging Genes, Structures and Functions. Biomedicines 2020; 8:E319. [PMID: 32878258 PMCID: PMC7555362 DOI: 10.3390/biomedicines8090319] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 08/23/2020] [Accepted: 08/25/2020] [Indexed: 12/18/2022] Open
Abstract
IMGT®, the international ImMunoGeneTics® information system founded in 1989 by Marie-Paule Lefranc (Université de Montpellier and CNRS), marked the advent of immunoinformatics, a new science at the interface between immunogenetics and bioinformatics. For the first time, the immunoglobulin (IG) or antibody and T cell receptor (TR) genes were officially recognized as 'genes' as well as were conventional genes. This major breakthrough has allowed the entry, in genomic databases, of the IG and TR variable (V), diversity (D) and joining (J) genes and alleles of Homo sapiens and of other jawed vertebrate species, based on the CLASSIFICATION axiom. The second major breakthrough has been the IMGT unique numbering and the IMGT Collier de Perles for the V and constant (C) domains of the IG and TR and other proteins of the IG superfamily (IgSF), based on the NUMEROTATION axiom. IMGT-ONTOLOGY axioms and concepts bridge genes, sequences, structures and functions, between biological and computational spheres in the IMGT® system (Web resources, databases and tools). They provide the IMGT Scientific chart rules to identify, to describe and to analyse the IG complex molecular data, the huge diversity of repertoires, the genetic (alleles, allotypes, CNV) polymorphisms, the IG dual function (paratope/epitope, effector properties), the antibody humanization and engineering.
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT, The International ImMunoGeneTics Information System, Laboratoire d’ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, Université de Montpellier UM, Centre National de la Recherche Scientifique CNRS, UMR 9002 CNRS-UM, 141 Rue de la Cardonille, CEDEX 5, 34396 Montpellier, France
| | - Gérard Lefranc
- IMGT, The International ImMunoGeneTics Information System, Laboratoire d’ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, Université de Montpellier UM, Centre National de la Recherche Scientifique CNRS, UMR 9002 CNRS-UM, 141 Rue de la Cardonille, CEDEX 5, 34396 Montpellier, France
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30
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Sénard T, Gargano AFG, Falck D, de Taeye SW, Rispens T, Vidarsson G, Wuhrer M, Somsen GW, Domínguez-Vega E. MS-Based Allotype-Specific Analysis of Polyclonal IgG-Fc N-Glycosylation. Front Immunol 2020; 11:2049. [PMID: 32973813 PMCID: PMC7472933 DOI: 10.3389/fimmu.2020.02049] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 07/28/2020] [Indexed: 12/18/2022] Open
Abstract
Current approaches to study glycosylation of polyclonal human immunoglobulins G (IgG) usually imply protein digestion or glycan release. While these approaches allow in-depth characterization, they also result in a loss of valuable information regarding certain subclasses, allotypes and co-occuring post-translational modifications (PTMs). Unfortunately, the high variability of polyclonal IgGs makes their intact mass spectrometry (MS) analysis extremely challenging. We propose here a middle-up strategy for the analysis of the intact fragment crystallizable (Fc) region of human plasma IgGs, with the aim of acquiring integrated information of the N-glycosylation and other PTMs of subclasses and allotypes. Human plasma IgG was isolated using Fc-specific beads followed by an on-bead C H 2 domain digestion with the enzyme IdeS. The obtained mixture of Fc subunits was analyzed by capillary electrophoresis (CE) and hydrophilic interaction liquid chromatography (HILIC) hyphenated with MS. CE-MS provided separation of different IgG-subclasses and allotypes, while HILIC-MS allowed resolution of the different glycoforms and their oxidized variants. The orthogonality of these techniques was key to reliably assign Fc allotypes. Five individual donors were analyzed using this approach. Heterozygosis was observed in all the analyzed donors resulting in a total of 12 allotypes identified. The assignments were further confirmed using recombinant monoclonal IgG allotypes as standards. While the glycosylation patterns were similar within allotypes of the same subclass, clear differences were observed between IgG subclasses and donors, highlighting the relevance of the proposed approach. In a single analysis, glycosylation levels specific for each allotype, relative abundances of subclasses and information on co-occurring modifications are obtained. This middle-up method represents an important step toward a comprehensive analysis of immunoglobulin G-Fc variants.
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Affiliation(s)
- Thomas Sénard
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Netherlands
| | - Andrea F G Gargano
- Van 't Hoff Institute for Molecular Sciences, University of Amsterdam Analytical Chemistry Group, Amsterdam, Netherlands.,Amsterdam Institute for Molecular and Life Sciences (AIMMS), Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - David Falck
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Netherlands
| | - Steven W de Taeye
- Department of Experimental Immunohematology, Sanquin Research, Amsterdam, Netherlands.,Department of Immunopathology, Sanquin Research, Amsterdam, Netherlands
| | - Theo Rispens
- Department of Immunopathology, Sanquin Research, Amsterdam, Netherlands
| | - Gestur Vidarsson
- Department of Experimental Immunohematology, Sanquin Research, Amsterdam, Netherlands
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Netherlands
| | - Govert W Somsen
- Amsterdam Institute for Molecular and Life Sciences (AIMMS), Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Elena Domínguez-Vega
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Netherlands
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31
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Warrender AK, Kelton W. Beyond Allotypes: The Influence of Allelic Diversity in Antibody Constant Domains. Front Immunol 2020; 11:2016. [PMID: 32973808 PMCID: PMC7461860 DOI: 10.3389/fimmu.2020.02016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 07/24/2020] [Indexed: 01/25/2023] Open
Abstract
Polymorphic diversity in antibody constant domains has long been defined by allotypic motifs that cross react with the sera of other individuals. Improvements in sequencing technologies have led to the discovery of a large number of new allelic sequences that underlie this diversity. Many of the point mutations lie outside traditional allotypic motifs suggesting they do not elicit immunogenic responses. As antibodies play an important role in immune defense and biotechnology, understanding how this newly resolved diversity influences the function of antibodies is important. This review investigates the current known diversity of antibody alleles at a protein level for each antibody isotype as well as the kappa and lambda light chains. We focus on evidence emerging for how these mutations perturb antibody interactions with antigens and Fc receptors that are critical for function, as well as the influence this might have on the use of antibodies as therapeutics and reagents.
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Affiliation(s)
| | - William Kelton
- Te Huataki Waiora School of Health, The University of Waikato, Hamilton, New Zealand
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Gasperi C, Andlauer TFM, Keating A, Knier B, Klein A, Pernpeintner V, Lichtner P, Gold R, Zipp F, Then Bergh F, Stangel M, Tumani H, Wildemann B, Wiendl H, Bayas A, Kümpfel T, Zettl UK, Linker RA, Ziemann U, Knop M, Warnke C, Friese MA, Paul F, Tackenberg B, Berthele A, Hemmer B. Genetic determinants of the humoral immune response in MS. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2020; 7:7/5/e827. [PMID: 32675288 PMCID: PMC7371373 DOI: 10.1212/nxi.0000000000000827] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 05/26/2020] [Indexed: 01/09/2023]
Abstract
OBJECTIVE In this observational study, we investigated the impact of genetic factors at the immunoglobulin heavy chain constant locus on chromosome 14 and the major histocompatibility complex region on intrathecal immunoglobulin G, A, and M levels as well as on B cells and plasmablasts in the CSF and blood of patients with multiple sclerosis (MS). METHODS Using regression analyses, we tested genetic variants on chromosome 14 and imputed human leukocyte antigen (HLA) alleles for associations with intrathecal immunoglobulins in 1,279 patients with MS or clinically isolated syndrome and with blood and CSF B cells and plasmablasts in 301 and 348 patients, respectively. RESULTS The minor alleles of variants on chromosome 14 were associated with higher intrathecal immunoglobulin G levels (β = 0.58 [0.47 to 0.68], lowest adjusted p = 2.32 × 10-23), and lower intrathecal immunoglobulin M (β = -0.56 [-0.67 to -0.46], p = 2.06 × 10-24) and A (β = -0.42 [-0.54 to -0.31], p = 7.48 × 10-11) levels. Alleles from the HLA-B*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02 haplotype were associated with higher (lowest p = 2.14 × 10-7) and HLA-B*44:02 with lower (β = -0.35 [-0.54 to -0.17], p = 1.38 × 10-2) immunoglobulin G levels. Of interest, different HLA alleles were associated with lower intrathecal immunoglobulin M (HLA-C*02:02, β = -0.45 [-0.61 to -0.28], p = 1.01 × 10-5) and higher immunoglobulin A levels (HLA-DQA1*01:03-DQB1*06:03-DRB1*13:01 haplotype, β = 0.40 [0.21 to 0.60], p = 4.46 × 10-3). The impact of HLA alleles on intrathecal immunoglobulin G and M levels could mostly be explained by associations with CSF B cells and plasmablasts. CONCLUSION Although some HLA alleles seem to primarily drive the extent of humoral immune responses in the CNS by increasing CSF B cells and plasmablasts, genetic variants at the immunoglobulin heavy chain constant locus might regulate intrathecal immunoglobulins levels via different mechanisms.
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Affiliation(s)
- Christiane Gasperi
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Till F M Andlauer
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Ana Keating
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Benjamin Knier
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Ana Klein
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Verena Pernpeintner
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Peter Lichtner
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Ralf Gold
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Frauke Zipp
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Florian Then Bergh
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Martin Stangel
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Hayrettin Tumani
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Brigitte Wildemann
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Heinz Wiendl
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Antonios Bayas
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Tania Kümpfel
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Uwe K Zettl
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Ralf A Linker
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Ulf Ziemann
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Matthias Knop
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Clemens Warnke
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Manuel A Friese
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Friedemann Paul
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Björn Tackenberg
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Achim Berthele
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany
| | - Bernhard Hemmer
- From the Department of Neurology (C.G., T.F.M.A., A. Keating, B.K., A. Klein, V.P., A. Berthele, B.H.), Klinikum rechts der Isar, School of Medicine, Technical University of Munich; Institute of Human Genetics (P.L.), Helmholtz Zentrum München, Neuherberg; Department of Neurology (R.G.), St. Josef Hospital, Ruhr-University Bochum; Department of Neurology, Focus Program Translational Neurosciences (FTN) and Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2) (F.Z.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology and Translational Center for Regenerative Medicine (F.T.B.), University of Leipzig; Clinical Neuroimmunology and Neurochemistry (M.S.), Department of Neurology, Hannover Medical School, Hannover; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Department of Neurology (B.W.), University Hospital Heidelberg; Department of Neurology (H.W.), University of Münster; Department of Neurology (A. Bayas), University Hospital Augsburg; Institute of Clinical Neuroimmunology (T.K.), University Hospital and Biomedical Center, Ludwig-Maximilians University Munich; Department of Neurology (U.K.Z.), Neuroimmunological Section, University of Rostock; Department of Neurology (R.A.L.), University Hospital Erlangen; Department of Neurology (R.A.L.), University of Regensburg; Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research (U.Z.), Eberhard-Karls-Universität Tübingen; Max Planck Institute of Psychiatry (M.K.), Munich; Department of Neurology (C.W.), Medical Faculty, Heinrich Heine University, Düsseldorf; Department of Neurology (C.W.), University Hospital Cologne; Institute of Neuroimmunology and Multiple Sclerosis (M.A.F), University Medical Centre Hamburg-Eppendorf, Hamburg; NeuroCure Clinical Research Center (F.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin; Berlin Institute of Health and Experimental and Clinical Research Center (F.P.), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin; and Center of Neuroimmunology (B.T.), Philipps-University Marburg; and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Germany.
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Abstract
PURPOSE OF REVIEW Numerous B-cell abnormalities in HIV-1 infection have been described over the past three decades yet have remained poorly defined mechanistically. We review recent studies that describe mechanisms of B-cell dysregulation in chronic HIV-1 infection associated with IgG3 and T-bet. RECENT FINDINGS HIV-1 infection causes hypergammaglobulinemia and dysregulation of B-cell populations, including the expansion during chronic viremia of functionally impaired tissue-like memory (TLM) B cells. TLM B cells and B cells in other conditions of chronic activation and inflammation with similar phenotypes are characterized by increased expression of the transcription factor T-bet and preferential immunoglobulin class-switching to IgG3. However, defects in B-cell function during chronic HIV-1 viremia are also associated with the binding of soluble IgG3 to IgM-expressing B cells, with the highest intensities observed on TLM B cells. The consequence of IgG3 binding to TLM B cells is increased clustering of the IgM B-cell receptor and decreased response to stimulation. SUMMARY The identification of T-bet and IgG3 as the regulators of B-cell function in chronic HIV-1 viremia could provide new targets for therapeutic intervention aimed at reversing the damaging effects of HIV-1-associated chronic immune activation.
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de Taeye SW, Bentlage AEH, Mebius MM, Meesters JI, Lissenberg-Thunnissen S, Falck D, Sénard T, Salehi N, Wuhrer M, Schuurman J, Labrijn AF, Rispens T, Vidarsson G. FcγR Binding and ADCC Activity of Human IgG Allotypes. Front Immunol 2020; 11:740. [PMID: 32435243 PMCID: PMC7218058 DOI: 10.3389/fimmu.2020.00740] [Citation(s) in RCA: 93] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Accepted: 04/01/2020] [Indexed: 01/14/2023] Open
Abstract
Antibody dependent cellular cytotoxicity (ADCC) is an Fc-dependent effector function of IgG important for anti-viral immunity and anti-tumor therapies. NK-cell mediated ADCC is mainly triggered by IgG-subclasses IgG1 and IgG3 through the IgG-Fc-receptor (FcγR) IIIa. Polymorphisms in the immunoglobulin gamma heavy chain gene likely form a layer of variation in the strength of the ADCC-response, but this has never been studied in detail. We produced all 27 known IgG allotypes and assessed FcγRIIIa binding and ADCC activity. While all IgG1, IgG2, and IgG4 allotypes behaved similarly within subclass, large allotype-specific variation was found for IgG3. ADCC capacity was affected by residues 291, 292, and 296 in the CH2 domain through altered affinity or avidity for FcγRIIIa. Furthermore, allotypic variation in hinge length affected ADCC, likely through altered proximity at the immunological synapse. Thus, these functional differences between IgG allotypes have important implications for therapeutic applications and susceptibility to infectious-, allo- or auto-immune diseases.
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Affiliation(s)
- Steven W de Taeye
- Sanquin Research and Landsteiner Laboratory, Department of Immunopathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.,Sanquin Research and Landsteiner Laboratory, Department of Experimental Immunohematology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Arthur E H Bentlage
- Sanquin Research and Landsteiner Laboratory, Department of Experimental Immunohematology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | | | | | - Suzanne Lissenberg-Thunnissen
- Sanquin Research and Landsteiner Laboratory, Department of Experimental Immunohematology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - David Falck
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Netherlands
| | - Thomas Sénard
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Netherlands
| | - Nima Salehi
- Sanquin Research and Landsteiner Laboratory, Department of Immunopathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Netherlands
| | | | | | - Theo Rispens
- Sanquin Research and Landsteiner Laboratory, Department of Immunopathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Gestur Vidarsson
- Sanquin Research and Landsteiner Laboratory, Department of Experimental Immunohematology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
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35
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Goulet DR, Atkins WM. Considerations for the Design of Antibody-Based Therapeutics. J Pharm Sci 2020; 109:74-103. [PMID: 31173761 PMCID: PMC6891151 DOI: 10.1016/j.xphs.2019.05.031] [Citation(s) in RCA: 146] [Impact Index Per Article: 36.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 05/02/2019] [Accepted: 05/29/2019] [Indexed: 02/06/2023]
Abstract
Antibody-based proteins have become an important class of biologic therapeutics, due in large part to the stability, specificity, and adaptability of the antibody framework. Indeed, antibodies not only have the inherent ability to bind both antigens and endogenous immune receptors but also have proven extremely amenable to protein engineering. Thus, several derivatives of the monoclonal antibody format, including bispecific antibodies, antibody-drug conjugates, and antibody fragments, have demonstrated efficacy for treating human disease, particularly in the fields of immunology and oncology. Reviewed here are considerations for the design of antibody-based therapeutics, including immunological context, therapeutic mechanisms, and engineering strategies. First, characteristics of antibodies are introduced, with emphasis on structural domains, functionally important receptors, isotypic and allotypic differences, and modifications such as glycosylation. Then, aspects of therapeutic antibody design are discussed, including identification of antigen-specific variable regions, choice of expression system, use of multispecific formats, and design of antibody derivatives based on fragmentation, oligomerization, or conjugation to other functional moieties. Finally, strategies to enhance antibody function through protein engineering are reviewed while highlighting the impact of fundamental biophysical properties on protein developability.
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Affiliation(s)
- Dennis R Goulet
- Department of Medicinal Chemistry, University of Washington, Seattle, Washington 98195.
| | - William M Atkins
- Department of Medicinal Chemistry, University of Washington, Seattle, Washington 98195
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36
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Richardson SI, Lambson BE, Crowley AR, Bashirova A, Scheepers C, Garrett N, Abdool Karim S, Mkhize NN, Carrington M, Ackerman ME, Moore PL, Morris L. IgG3 enhances neutralization potency and Fc effector function of an HIV V2-specific broadly neutralizing antibody. PLoS Pathog 2019; 15:e1008064. [PMID: 31841557 PMCID: PMC6936867 DOI: 10.1371/journal.ppat.1008064] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 12/30/2019] [Accepted: 09/02/2019] [Indexed: 11/19/2022] Open
Abstract
Broadly neutralizing antibodies (bNAbs) protect against HIV infection in non-human primates and their efficacy may be enhanced through interaction with Fc receptors on immune cells. Antibody isotype is a modulator of this binding with the IgG3 subclass mediating potent Fc effector function and is associated with HIV vaccine efficacy and HIV control. BNAb functions are typically assessed independently of the constant region with which they are naturally expressed. To examine the role of natural isotype in the context of a bNAb lineage we studied CAP256, an HIV-infected individual that mounted a potent V2-specific bNAb response. CAP256 expressed persistently high levels of plasma IgG3 which we found mediated both broad neutralizing activity and potent Fc function. Sequencing of germline DNA and the constant regions of V2-directed bNAbs from this donor revealed the expression of a novel IGHG3 allele as well as IGHG3*17, an allele that produces IgG3 antibodies with increased plasma half-life. Both allelic variants were used to generate CAP256-VRC26.25 and CAP256-VRC26.29 IgG3 bNAbs and these were compared to IgG1 versions. IgG3 variants were shown to have significantly higher phagocytosis and trogocytosis compared to IgG1 versions, which corresponded to increased affinity for FcγRIIa. Neutralization potency was also significantly higher for IgG3 bNAbs, particularly against viruses lacking the N160 glycan. By exchanging hinge regions between subclass variants, we showed that hinge length modulated both neutralization potency and Fc function. This study showed that co-operation between the variable and natural IgG3 constant regions enhanced the polyfunctionality of antibodies, indicating the value of leveraging genetic variation which could be exploited for passive immunity.
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Affiliation(s)
- Simone I. Richardson
- Centre for HIV and STI’s, National Institute for Communicable Diseases, Johannesburg, Gauteng, South Africa
- Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Bronwen E. Lambson
- Centre for HIV and STI’s, National Institute for Communicable Diseases, Johannesburg, Gauteng, South Africa
- Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Andrew R. Crowley
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, United States of America
| | - Arman Bashirova
- Ragon Institute of Massachusetts General Hospital, MIT, and Harvard University, Boston, Massachusetts, United States of America
- Basic Science Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Cathrine Scheepers
- Centre for HIV and STI’s, National Institute for Communicable Diseases, Johannesburg, Gauteng, South Africa
- Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Nigel Garrett
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Congella, KwaZulu-Natal, South Africa
- Department of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Salim Abdool Karim
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Congella, KwaZulu-Natal, South Africa
- Department of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
- Department of Epidemiology, Columbia University, New York, NY, United States of America
| | - Nonhlanhla N. Mkhize
- Centre for HIV and STI’s, National Institute for Communicable Diseases, Johannesburg, Gauteng, South Africa
- Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Mary Carrington
- Ragon Institute of Massachusetts General Hospital, MIT, and Harvard University, Boston, Massachusetts, United States of America
- Basic Science Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Margaret E. Ackerman
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, United States of America
| | - Penny L. Moore
- Centre for HIV and STI’s, National Institute for Communicable Diseases, Johannesburg, Gauteng, South Africa
- Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Congella, KwaZulu-Natal, South Africa
| | - Lynn Morris
- Centre for HIV and STI’s, National Institute for Communicable Diseases, Johannesburg, Gauteng, South Africa
- Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Congella, KwaZulu-Natal, South Africa
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37
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Li SS, Gilbert PB, Carpp LN, Pyo CW, Janes H, Fong Y, Shen X, Neidich SD, Goodman D, deCamp A, Cohen KW, Ferrari G, Hammer SM, Sobieszczyk ME, Mulligan MJ, Buchbinder SP, Keefer MC, DeJesus E, Novak RM, Frank I, McElrath MJ, Tomaras GD, Geraghty DE, Peng X. Fc Gamma Receptor Polymorphisms Modulated the Vaccine Effect on HIV-1 Risk in the HVTN 505 HIV Vaccine Trial. J Virol 2019; 93:e02041-18. [PMID: 31434737 PMCID: PMC6803257 DOI: 10.1128/jvi.02041-18] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 08/14/2019] [Indexed: 12/19/2022] Open
Abstract
HIV Vaccine Trials Network (HVTN) 505 was a phase 2b efficacy trial of a DNA/recombinant adenovirus 5 (rAd5) HIV vaccine regimen. Although the trial was stopped early for lack of overall efficacy, later correlates of risk and sieve analyses generated the hypothesis that the DNA/rAd5 vaccine regimen protected some vaccinees from HIV infection yet enhanced HIV infection risk for others. Here, we assessed whether and how host Fc gamma receptor (FcγR) genetic variations influenced the DNA/rAd5 vaccine regimen's effect on HIV infection risk. We found that vaccine receipt significantly increased HIV acquisition compared with placebo receipt among participants carrying the FCGR2C-TATA haplotype (comprising minor alleles of four FCGR2C single-nucleotide polymorphism [SNP] sites) (hazard ratio [HR] = 9.79, P = 0.035) but not among participants without the haplotype (HR = 0.86, P = 0.67); the interaction of vaccine and haplotype effect was significant (P = 0.034). Similarly, vaccine receipt increased HIV acquisition compared with placebo receipt among participants carrying the FCGR3B-AGA haplotype (comprising minor alleles of the 3 FCGR3B SNPs) (HR = 2.78, P = 0.058) but not among participants without the haplotype (HR = 0.73, P = 0.44); again, the interaction of vaccine and haplotype was significant (P = 0.047). The FCGR3B-AGA haplotype also influenced whether a combined Env-specific CD8+ T-cell polyfunctionality score and IgG response correlated significantly with HIV risk; an FCGR2A SNP and two FCGR2B SNPs influenced whether anti-gp140 antibody-dependent cellular phagocytosis correlated significantly with HIV risk. These results provide further evidence that Fc gamma receptor genetic variations may modulate HIV vaccine effects and immune function after HIV vaccination.IMPORTANCE By analyzing data from the HVTN 505 efficacy trial of a DNA/recombinant adenovirus 5 (rAd5) vaccine regimen, we found that host genetics, specifically Fc gamma receptor genetic variations, influenced whether receiving the DNA/rAd5 regimen was beneficial, neutral, or detrimental to an individual with respect to HIV-1 acquisition risk. Moreover, Fc gamma receptor genetic variations influenced immune responses to the DNA/rAd5 vaccine regimen. Thus, Fc gamma receptor genetic variations should be considered in the analysis of future HIV vaccine trials and the development of HIV vaccines.
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Affiliation(s)
- Shuying S Li
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Peter B Gilbert
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Lindsay N Carpp
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Chul-Woo Pyo
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Holly Janes
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Youyi Fong
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Xiaoying Shen
- Duke Human Vaccine Institute, Duke University, Durham, North Carolina, USA
| | - Scott D Neidich
- Duke Human Vaccine Institute, Duke University, Durham, North Carolina, USA
| | - Derrick Goodman
- Duke Human Vaccine Institute, Duke University, Durham, North Carolina, USA
| | - Allan deCamp
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Kristen W Cohen
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Guido Ferrari
- Duke Human Vaccine Institute, Duke University, Durham, North Carolina, USA
- Department of Surgery, Duke University, Durham, North Carolina, USA
- Department of Molecular Genetics and Microbiology, Duke University, Durham, North Carolina, USA
| | - Scott M Hammer
- Division of Infectious Diseases, Columbia University College of Physicians and Surgeons, New York, New York, USA
| | - Magdalena E Sobieszczyk
- Division of Infectious Diseases, Columbia University College of Physicians and Surgeons, New York, New York, USA
| | - Mark J Mulligan
- Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Susan P Buchbinder
- Department of Medicine, University of California, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - Michael C Keefer
- Division of Infectious Diseases, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | | | | | - Ian Frank
- Division of Infectious Diseases, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - M Juliana McElrath
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Georgia D Tomaras
- Duke Human Vaccine Institute, Duke University, Durham, North Carolina, USA
- Department of Surgery, Duke University, Durham, North Carolina, USA
- Department of Molecular Genetics and Microbiology, Duke University, Durham, North Carolina, USA
- Department of Immunology, Duke University, Durham, North Carolina, USA
| | - Daniel E Geraghty
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Xinxia Peng
- Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, North Carolina, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, USA
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38
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Akiba H, Satoh R, Nagata S, Tsumoto K. Effect of allotypic variation of human IgG1 on the thermal stability of disulfide-linked knobs-into-holes mutants of the Fc for stable bispecific antibody design. Antib Ther 2019; 2:65-69. [PMID: 33928224 PMCID: PMC7990158 DOI: 10.1093/abt/tbz008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Revised: 05/29/2019] [Accepted: 07/02/2019] [Indexed: 11/22/2022] Open
Abstract
Background Disulfide-linked knobs-into-holes (dKiH) mutation is a well-validated antibody engineering technique to force heterodimer formation of different Fcs for efficient production of bispecific antibodies. An artificial disulfide bond is created between mutated cysteine residues in CH3 domain of human IgG1 Fc whose positions are 354 of the “knob” and 349 of the “hole” heavy chains. The disulfide bond is located adjacent to the exposed loop with allotypic variations at positions 356 and 358. Effects of the variation on the biophysical property of the Fc protein with dKiH mutations have not been reported. Methods We produced dKiH Fc proteins of high purity by affinity-tag fusion to the hole chain and IdeS treatment, which enabled removal of mispaired side products. Thermal stability was analyzed in a differential scanning calorimetry instrument. Results We firstly analyzed the effect of the difference in allotypes of the Fcs on the thermal stability of the heterodimeric Fc. We observed different melting profiles of the two allotypes (G1m1 and nG1m1) showing slightly higher melting temperature of G1m1 than nG1m1. Additionally, we showed different characteristics among heterodimers with different combinations of the allotypes in knob and hole chains. Conclusion Allotypic variations affected melting profiles of dKiH Fc proteins possibly with larger contribution of variations adjacent to the disulfide linkage.
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Affiliation(s)
- Hiroki Akiba
- Center for Drug Design Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 567-0085, Japan
| | - Reiko Satoh
- Center for Drug Design Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 567-0085, Japan
| | - Satoshi Nagata
- Center for Drug Design Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 567-0085, Japan
| | - Kouhei Tsumoto
- Center for Drug Design Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 567-0085, Japan.,Department of Bioengineering, School of Engineering, The University of Tokyo, Tokyo, 113-8656, Japan.,Medical Proteomics Laboratory, The Institute of Medical Sciences, The University of Tokyo, Tokyo, 108-8639, Japan
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39
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Calonga-Solís V, Malheiros D, Beltrame MH, Vargas LDB, Dourado RM, Issler HC, Wassem R, Petzl-Erler ML, Augusto DG. Unveiling the Diversity of Immunoglobulin Heavy Constant Gamma ( IGHG) Gene Segments in Brazilian Populations Reveals 28 Novel Alleles and Evidence of Gene Conversion and Natural Selection. Front Immunol 2019; 10:1161. [PMID: 31214166 PMCID: PMC6558194 DOI: 10.3389/fimmu.2019.01161] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2018] [Accepted: 05/08/2019] [Indexed: 11/18/2022] Open
Abstract
Even though immunoglobulins are critical for immune responses and human survival, the diversity of the immunoglobulin heavy chain gene (IGH) is poorly known and mostly characterized only by serological methods. Moreover, this genomic region is not well-covered in genomic databases and genome-wide association studies due to particularities that impose technical difficulties for its analysis. Therefore, the IGH gene has never been systematically sequenced across populations. Here, we deliver an unprecedented and comprehensive characterization of the diversity of the IGHG1, IGHG2, and IGHG3 gene segments, which encode the constant region of the most abundant circulating immunoglobulins: IgG1, IgG2, and IgG3, respectively. We used Sanger sequencing to analyze 357 individuals from seven different Brazilian populations, including five Amerindian, one Japanese-descendant and one Euro-descendant population samples. We discovered 28 novel IGHG alleles and provided evidence that some of them may have been originated by gene conversion between common alleles of different gene segments. The rate of synonymous substitutions was significantly higher than the rate of the non-synonymous substitutions for IGHG1 and IGHG2 (p = 0.01 and 0.03, respectively), consistent with purifying selection. Fay and Wu's test showed significant negative values for most populations (p < 0.001), which indicates that positive selection in an adjacent position may be shaping IGHG variation by hitchhiking of variants in the vicinity, possibly the regions that encode the Ig variable regions. This study shows that the variation in the IGH gene is largely underestimated. Therefore, exploring its nucleotide diversity in populations may provide valuable information for comprehension of its evolution, its impact on diseases and vaccine research.
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Affiliation(s)
- Verónica Calonga-Solís
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Danielle Malheiros
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Marcia Holsbach Beltrame
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Luciana de Brito Vargas
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Renata Montoro Dourado
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Hellen Caroline Issler
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Roseli Wassem
- Laboratório de Interação Planta-Bactéria, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Maria Luiza Petzl-Erler
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Danillo G Augusto
- Laboratório de Genética Molecular Humana, Departamento de Genética, Universidade Federal do Paraná, Curitiba, Brazil
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Geraghty DE, Thorball CW, Fellay J, Thomas R. Effect of Fc Receptor Genetic Diversity on HIV-1 Disease Pathogenesis. Front Immunol 2019; 10:970. [PMID: 31143176 PMCID: PMC6520634 DOI: 10.3389/fimmu.2019.00970] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2019] [Accepted: 04/15/2019] [Indexed: 11/21/2022] Open
Abstract
Fc receptor (FcR) genes collectively have copy number and allelic polymorphisms that have been implicated in multiple inflammatory and autoimmune diseases. This variation might also be involved in etiology of infectious diseases. The protective role of Fc-mediated antibody-function in HIV-1 immunity has led to the investigation of specific polymorphisms in FcR genes on acquisition, disease progression, and vaccine efficacy in natural history cohorts. The purpose of this review is not only to explore these known HIV-1 host genetic associations, but also to re-evaluate them in the context of genome-wide data. In the current era of effective anti-retroviral therapy, the potential impact of such variation on post-treatment cohorts cannot go unheeded and is discussed here in the light of current findings. Specific polymorphisms associating with HIV-1 pathogenesis have previously been genotyped by assays that captured only the single-nucleotide polymorphism (SNP) of interest without relative information of neighboring variants. With recent technological advances, variation within these genes can now be characterized using next-generation sequencing, allowing precise annotation of the whole chromosomal region. We herein also discuss updates in the annotation of common FcR variants that have been previously associated with HIV-1 pathogenesis.
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Affiliation(s)
- Daniel E Geraghty
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Christian W Thorball
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Jacques Fellay
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.,Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Rasmi Thomas
- U. S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
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41
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Lefranc MP, Lefranc G. IMGT ® and 30 Years of Immunoinformatics Insight in Antibody V and C Domain Structure and Function. Antibodies (Basel) 2019; 8:E29. [PMID: 31544835 PMCID: PMC6640715 DOI: 10.3390/antib8020029] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 03/29/2019] [Accepted: 04/09/2019] [Indexed: 12/24/2022] Open
Abstract
At the 10th Human Genome Mapping (HGM10) Workshop, in New Haven, for the first time, immunoglobulin (IG) or antibody and T cell receptor (TR) variable (V), diversity (D), joining (J), and constant (C) genes were officially recognized as 'genes', as were the conventional genes. Under these HGM auspices, IMGT®, the international ImMunoGeneTics information system®, was created in June 1989 at Montpellier (University of Montpellier and CNRS). The creation of IMGT® marked the birth of immunoinformatics, a new science, at the interface between immunogenetics and bioinformatics. The accuracy and the consistency between genes and alleles, sequences, and three-dimensional (3D) structures are based on the IMGT Scientific chart rules generated from the IMGT-ONTOLOGY axioms and concepts: IMGT standardized keywords (IDENTIFICATION), IMGT gene and allele nomenclature (CLASSIFICATION), IMGT standardized labels (DESCRIPTION), IMGT unique numbering and IMGT Collier de Perles (NUMEROTATION). These concepts provide IMGT® immunoinformatics insights for antibody V and C domain structure and function, used for the standardized description in IMGT® web resources, databases and tools, immune repertoires analysis, single cell and/or high-throughput sequencing (HTS, NGS), antibody humanization, and antibody engineering in relation with effector properties.
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, the international ImMunoGeneTics information system®, University of Montpellier, CNRS, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002 CNRS-UM, 141 rue de la Cardonille, 34396 Montpellier CEDEX 5, France.
| | - Gérard Lefranc
- IMGT®, the international ImMunoGeneTics information system®, University of Montpellier, CNRS, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002 CNRS-UM, 141 rue de la Cardonille, 34396 Montpellier CEDEX 5, France.
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42
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Saito S, Namisaki H, Hiraishi K, Takahashi N, Iida S. A stable engineered human IgG3 antibody with decreased aggregation during antibody expression and low pH stress. Protein Sci 2019; 28:900-909. [PMID: 30834577 PMCID: PMC6459999 DOI: 10.1002/pro.3598] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Revised: 02/28/2019] [Accepted: 02/28/2019] [Indexed: 12/22/2022]
Abstract
Human IgG comprises four subclasses with different biological functions. The IgG3 subclass has a unique character, exhibiting high effector function and Fab arm flexibility. However, it is not used as a therapeutic drug owing to an enhanced susceptibility to proteolysis. Antibody aggregation control is also important for therapeutic antibody development. To date, there have been few reports of IgG3 aggregation during protein expression and the low pH conditions needed for purification and virus inactivation. This study explored the potential of IgG3 antibody for therapeutics using anti‐CD20 IgG3 as a model to investigate aggregate formation. Initially, anti‐CD20 IgG3 antibody showed substantial aggregate formation during expression and low pH treatment. To circumvent this phenomenon, we systematically exchanged IgG3 constant domains with those of IgG1, a stable IgG. IgG3 antibody with the IgG1 CH3 domain exhibited reduced aggregate formation during expression. Differential scanning calorimetric analysis of individual amino acid substitutions revealed that two amino acid mutations in the CH3 domain, N392K and M397V, reduced aggregation and increased CH3 transition temperature. The engineered human IgG3 antibody was further improved by additional mutations of R435H to obtain IgG3KVH to achieve protein A binding and showed similar antigen binding as wild‐type IgG3. IgG3KVH also exhibited high binding activity for FcγRIIIa and C1q. In summary, we have successfully established an engineered human IgG3 antibody with reduced aggregation during bioprocessing, which will contribute to the better design of therapeutic antibodies with high effector function and Fab arm flexibility.
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Affiliation(s)
- Seiji Saito
- Antibody & Biologics Research Laboratories, R&D Division, Kyowa Hakko Kirin Co., Ltd., Tokyo, 194-8533, Japan
| | - Hiroshi Namisaki
- Open Innovation Department, R&D Division, Kyowa Hakko Kirin Co., Ltd., Tokyo, 194-8533, Japan
| | - Keiko Hiraishi
- Antibody & Biologics Research Laboratories, R&D Division, Kyowa Hakko Kirin Co., Ltd., Tokyo, 194-8533, Japan
| | - Nobuaki Takahashi
- Research Functions Unit, R&D Division, Kyowa Hakko Kirin Co., Ltd., Tokyo, 194-8533, Japan
| | - Shigeru Iida
- Antibody & Biologics Research Laboratories, R&D Division, Kyowa Hakko Kirin Co., Ltd., Tokyo, 194-8533, Japan
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43
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Damelang T, Rogerson SJ, Kent SJ, Chung AW. Role of IgG3 in Infectious Diseases. Trends Immunol 2019; 40:197-211. [PMID: 30745265 DOI: 10.1016/j.it.2019.01.005] [Citation(s) in RCA: 118] [Impact Index Per Article: 23.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2018] [Revised: 01/14/2019] [Accepted: 01/14/2019] [Indexed: 12/20/2022]
Abstract
IgG3 comprises only a minor fraction of IgG and has remained relatively understudied until recent years. Key physiochemical characteristics of IgG3 include an elongated hinge region, greater molecular flexibility, extensive polymorphisms, and additional glycosylation sites not present on other IgG subclasses. These characteristics make IgG3 a uniquely potent immunoglobulin, with the potential for triggering effector functions including complement activation, antibody (Ab)-mediated phagocytosis, or Ab-mediated cellular cytotoxicity (ADCC). Recent studies underscore the importance of IgG3 effector functions against a range of pathogens and have provided approaches to overcome IgG3-associated limitations, such as allotype-dependent short Ab half-life, and excessive proinflammatory activation. Understanding the molecular and functional properties of IgG3 may facilitate the development of improved Ab-based immunotherapies and vaccines against infectious diseases.
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Affiliation(s)
- Timon Damelang
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Stephen J Rogerson
- Department of Medicine, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Stephen J Kent
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Amy W Chung
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia.
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44
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Aiello A, Accardi G, Candore G, Caruso C, Colomba C, Di Bona D, Duro G, Gambino CM, Ligotti ME, Pandey JP. Role of Immunogenetics in the Outcome of HCMV Infection: Implications for Ageing. Int J Mol Sci 2019; 20:ijms20030685. [PMID: 30764515 PMCID: PMC6386818 DOI: 10.3390/ijms20030685] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 01/31/2019] [Accepted: 02/01/2019] [Indexed: 12/30/2022] Open
Abstract
The outcome of host-virus interactions is determined by a number of factors, some related to the virus, others to the host, such as environmental factors and genetic factors. Therefore, different individuals vary in their relative susceptibility to infections. Human cytomegalovirus (HCMV) is an important pathogen from a clinical point of view, as it causes significant morbidity and mortality in immunosuppressed or immunosenescent individuals, such as the transplanted patients and the elderly, respectively. It is, therefore, important to understand the mechanisms of virus infection control. In this review, we discuss recent advances in the immunobiology of HCMV-host interactions, with particular emphasis on the immunogenetic aspects (human leukocyte antigens, HLA; killer cell immunoglobulin-like receptors, KIRs; immunoglobulin genetic markers, GM allotypes) to elucidate the mechanisms underlying the complex host-virus interaction that determine various outcomes of HCMV infection. The results, which show the role of humoral and cellular immunity in the control of infection by HCMV, would be valuable in directing efforts to reduce HCMV spurred health complications in the transplanted patients and in the elderly, including immunosenescence. In addition, concerning GM allotypes, it is intriguing that, in a Southern Italian population, alleles associated with the risk of developing HCMV symptomatic infection are negatively associated with longevity.
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Affiliation(s)
- Anna Aiello
- Sezione di Patologia Generale, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università di Palermo, Corso Tukory 211, 90134 Palermo, Italy.
| | - Giulia Accardi
- Sezione di Patologia Generale, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università di Palermo, Corso Tukory 211, 90134 Palermo, Italy.
| | - Giuseppina Candore
- Sezione di Patologia Generale, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università di Palermo, Corso Tukory 211, 90134 Palermo, Italy.
| | - Calogero Caruso
- Sezione di Patologia Generale, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università di Palermo, Corso Tukory 211, 90134 Palermo, Italy.
| | - Claudia Colomba
- Dipartimento di Scienze per la Promozione della Salute e Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro", Università di Palermo, Via del Vespro 129, 90127 Palermo, Italy.
| | - Danilo Di Bona
- Dipartimento dell'Emergenza e dei Trapianti d'Organo, Università di Bari Aldo Moro, Piazza G. Cesare 11, 70124 Bari, Italy.
| | - Giovanni Duro
- Istituto di Biomedicina e Immunologia Molecolare, Consiglio Nazionale delle Ricerche, Via Ugo La Malfa 153, 90146 Palermo, Italy.
| | - Caterina Maria Gambino
- Sezione di Patologia Generale, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università di Palermo, Corso Tukory 211, 90134 Palermo, Italy.
| | - Mattia Emanuela Ligotti
- Sezione di Patologia Generale, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università di Palermo, Corso Tukory 211, 90134 Palermo, Italy.
| | - Janardan P Pandey
- Department of Microbiology and Immunology, Medical University of South Carolina, 171 Ashley Ave, Charleston, SC 29425, USA.
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45
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Li L, Liu Y, Gorny MK. Association of Diverse Genotypes and Phenotypes of Immune Cells and Immunoglobulins With the Course of HIV-1 Infection. Front Immunol 2018; 9:2735. [PMID: 30534128 PMCID: PMC6275200 DOI: 10.3389/fimmu.2018.02735] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 11/06/2018] [Indexed: 12/19/2022] Open
Abstract
Disease progression among HIV-1-infected individuals varies widely, but the mechanisms underlying this variability remains unknown. Distinct disease outcomes are the consequences of many factors working in concert, including innate and adaptive immune responses, cell-mediated and humoral immunity, and both genetic and phenotypic factors. Current data suggest that these multifaceted aspects in infected individuals should be considered as a whole, rather than as separate unique elements, and that analyses must be performed in greater detail in order to meet the requirements of personalized medicine and guide optimal vaccine design. However, the wide adoption of antiretroviral therapy (ART) influences the implementation of systematic analyses of the HIV-1-infected population. Consequently, fewer data will be available for acquisition in the future, preventing the comprehensive investigations required to elucidate the underpinnings of variability in disease outcome. This review seeks to recapitulate the distinct genotypic and phenotypic features of the immune system, focusing in particular on comparing the surface proteins of immune cells among individuals with different HIV infection outcomes.
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Affiliation(s)
- Liuzhe Li
- Department of Pathology, New York University School of Medicine, New York, NY, United States
| | - Yan Liu
- Institute of Pathogenic Biology, Medical College, University of South China, Hengyang, China
| | - Miroslaw K Gorny
- Department of Pathology, New York University School of Medicine, New York, NY, United States
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46
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IgG3 regulates tissue-like memory B cells in HIV-infected individuals. Nat Immunol 2018; 19:1001-1012. [PMID: 30104633 DOI: 10.1038/s41590-018-0180-5] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Accepted: 06/28/2018] [Indexed: 01/10/2023]
Abstract
Immunoglobulin G3 (IgG3) has an uncertain role in the response to infection with and vaccination against human immunodeficiency virus (HIV). Here we describe a regulatory role for IgG3 in dampening the immune system-activating effects of chronic HIV viremia on B cells. Secreted IgG3 was bound to IgM-expressing B cells in vivo in HIV-infected chronically viremic individuals but not in early-viremic or aviremic individuals. Tissue-like memory (TLM) B cells, a population expanded by persistent HIV viremia, bound large amounts of IgG3. IgG3 induced clustering of B cell antigen receptors (BCRs) on the IgM+ B cells, which was mediated by direct interactions between soluble IgG3 and membrane IgM of the BCR (IgM-BCR). The inhibitory IgG receptor CD32b (FcγRIIb), complement component C1q and inflammatory biomarker CRP contributed to the binding of secreted IgG3 onto IgM-expressing B cells of HIV-infected individuals. Notably, IgG3-bound TLM B cells were refractory to IgM-BCR stimulation, thus demonstrating that IgG3 can regulate B cells during chronic activation of the immune system.
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47
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Recke A, Konitzer S, Lemcke S, Freitag M, Sommer NM, Abdelhady M, Amoli MM, Benoit S, El-Chennawy F, Eldarouti M, Eming R, Gläser R, Günther C, Hadaschik E, Homey B, Lieb W, Peitsch WK, Pföhler C, Robati RM, Saeedi M, Sárdy M, Sticherling M, Uzun S, Worm M, Zillikens D, Ibrahim S, Vidarsson G, Schmidt E. The p.Arg435His Variation of IgG3 With High Affinity to FcRn Is Associated With Susceptibility for Pemphigus Vulgaris-Analysis of Four Different Ethnic Cohorts. Front Immunol 2018; 9:1788. [PMID: 30116249 PMCID: PMC6082936 DOI: 10.3389/fimmu.2018.01788] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 07/19/2018] [Indexed: 01/15/2023] Open
Abstract
IgG3 is the IgG subclass with the strongest effector functions among all four IgG subclasses and the highest degree of allelic variability among all constant immunoglobulin genes. Due to its genetic position, IgG3 is often the first isotype an antibody switches to before IgG1 or IgG4. Compared with the other IgG subclasses, it has a reduced half-life which is probably connected to a decreased affinity to the neonatal Fc receptor (FcRn). However, a few allelic variants harbor an amino acid replacement of His435 to Arg that reverts the half-life of the resulting IgG3 to the same level as the other IgG subclasses. Because of its functional impact, we hypothesized that the p.Arg435His variation could be associated with susceptibility to autoantibody-mediated diseases like pemphigus vulgaris (PV) and bullous pemphigoid (BP). Using a set of samples from German, Turkish, Egyptian, and Iranian patients and controls, we were able to demonstrate a genetic association of the p.Arg435His variation with PV risk, but not with BP risk. Our results suggest a hitherto unknown role for the function of IgG3 in the pathogenesis of PV.
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Affiliation(s)
- Andreas Recke
- Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck, Lübeck, Germany.,Department of Dermatology, Allergology and Venereology, University of Lübeck, Lübeck, Germany
| | - Sarah Konitzer
- Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck, Lübeck, Germany
| | - Susanne Lemcke
- Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck, Lübeck, Germany
| | - Miriam Freitag
- Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck, Lübeck, Germany
| | - Nele Maxi Sommer
- Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck, Lübeck, Germany
| | - Mohammad Abdelhady
- Department of Dermatology, Faculty of Medicine, Cairo University, Giza, Egypt
| | - Mahsa M Amoli
- Metabolic Disorders Research Center, Endocrinology and Metabolism Molecular - Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Sandrine Benoit
- Department of Dermatology, Venereology and Allergology, University Hospital Würzburg, Würzburg, Germany
| | - Farha El-Chennawy
- Department of Clinical Pathology, Mansoura Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | - Mohammad Eldarouti
- Department of Dermatology, Faculty of Medicine, Cairo University, Giza, Egypt
| | - Rüdiger Eming
- Department of Dermatology and Allergology, Phillips-Universität Marburg, Marburg, Germany
| | - Regine Gläser
- Department of Dermatology, Venereology and Allergology, Christian Albrecht University, Kiel, Germany
| | - Claudia Günther
- Department of Dermatology, University Hospital of Dresden, Dresden, Germany
| | - Eva Hadaschik
- Department of Dermatology, Ruprecht-Karls-University of Heidelberg, Heidelberg, Germany
| | - Bernhard Homey
- Department of Dermatology, Heinrich Heine University, Düsseldorf, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Christian-Albrechts-University, Kiel, Germany.,Popgen Biobank, Christian-Albrechts-University, Kiel, Germany
| | - Wiebke K Peitsch
- Department of Dermatology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany.,Department of Dermatology, Vivantes Klinikum im Friedrichshain, Berlin, Germany
| | - Claudia Pföhler
- Department of Dermatology, Saarland University Medical School, Homburg/Saar, Germany
| | - Reza M Robati
- Skin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Marjan Saeedi
- Skin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Miklós Sárdy
- Department of Dermatology, Ludwig Maximilian University Munich, Munich, Germany
| | - Michael Sticherling
- Department of Dermatology, University of Erlangen-Nuremberg, Erlangen, Germany
| | - Soner Uzun
- Department of Dermatology, Faculty of Medicine, Akdeniz University, Antalya, Turkey
| | - Margitta Worm
- Department of Dermatology, Venerology and Allergology, Allergy Center Charité, Charité-Medical University Berlin, Berlin, Germany
| | - Detlef Zillikens
- Department of Dermatology, Allergology and Venereology, University of Lübeck, Lübeck, Germany
| | - Saleh Ibrahim
- Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck, Lübeck, Germany
| | - Gestur Vidarsson
- Department of Experimental Hematology, Sanquin Research Institute, Amsterdam, Netherlands
| | - Enno Schmidt
- Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck, Lübeck, Germany
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48
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Pandey JP. HIV-1 Control and Immunoglobulin Genes. J Infect Dis 2018; 217:1170. [PMID: 29346629 DOI: 10.1093/infdis/jiy021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 01/12/2017] [Indexed: 11/12/2022] Open
Affiliation(s)
- Janardan P Pandey
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston
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Abstract
IMGT®, the international ImMunoGeneTics information system® ( http://www.imgt.org ), was created in 1989 by Marie-Paule Lefranc (Université de Montpellier and CNRS) to manage the huge diversity of the antigen receptors, immunoglobulins (IG) or antibodies, and T cell receptors (TR). The founding of IMGT® marked the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. Standardized sequence and structure analysis of antibody using IMGT® databases and tools allow one to bridge, for the first time, the gap between antibody sequences and three-dimensional (3D) structures. This is achieved through the IMGT Scientific chart rules, based on the IMGT-ONTOLOGY concepts of classification (IMGT gene and allele nomenclature), description (IMGT standardized labels), and numerotation (IMGT unique numbering and IMGT Collier de Perles). IMGT® is acknowledged as the global reference for immunogenetics and immunoinformatics, and its standards are particularly useful for antibody engineering and humanization. IMGT® databases for antibody nucleotide sequences and genes include IMGT/LIGM-DB and IMGT/GENE-DB, respectively, and nucleotide sequence analysis is performed by the IMGT/V-QUEST and IMGT/JunctionAnalysis tools and for NGS by IMGT/HighV-QUEST. In this chapter, we focus on IMGT® databases and tools for amino acid sequences, two-dimensional (2D) and three-dimensional (3D) structures: the IMGT/DomainGapAlign and IMGT Collier de Perles tools and the IMGT/2Dstructure-DB and IMGT/3Dstructure-DB database. IMGT/mAb-DB provides the query interface for monoclonal antibodies (mAb), fusion proteins for immune applications (FPIA), and composite proteins for clinical applications (CPCA) and related proteins of interest (RPI) and links to the proposed and recommended lists of the World Health Organization International Nonproprietary Name (WHO INN) programme, to IMGT/2Dstructure-DB for amino acid sequences, and to IMGT/3Dstructure-DB and its associated tools (IMGT/StructuralQuery, IMGT/DomainSuperimpose) for crystallized antibodies.
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50
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Kratochvil S, McKay PF, Chung AW, Kent SJ, Gilmour J, Shattock RJ. Immunoglobulin G1 Allotype Influences Antibody Subclass Distribution in Response to HIV gp140 Vaccination. Front Immunol 2017; 8:1883. [PMID: 29326728 PMCID: PMC5742328 DOI: 10.3389/fimmu.2017.01883] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2017] [Accepted: 12/11/2017] [Indexed: 01/13/2023] Open
Abstract
Antibody subclasses exhibit extensive polymorphisms (allotypes) that could potentially impact the quality of HIV-vaccine induced B cell responses. Allotypes of immunoglobulin (Ig) G1, the most abundant serum antibody, have been shown to display altered functional properties in regard to serum half-life, Fc-receptor binding and FcRn-mediated mucosal transcytosis. To investigate the potential link between allotypic IgG1-variants and vaccine-generated humoral responses in a cohort of 14 HIV vaccine recipients, we developed a novel protocol for rapid IgG1-allotyping. We combined PCR and ELISA assays in a dual approach to determine the IgG1 allotype identity (G1m3 and/or G1m1) of trial participants, using human plasma and RNA isolated from PBMC. The IgG1-allotype distribution of our participants mirrored previously reported results for caucasoid populations. We observed elevated levels of HIV gp140-specific IgG1 and decreased IgG2 levels associated with the G1m1-allele, in contrast to G1m3 carriers. These data suggest that vaccinees homozygous for G1m1 are predisposed to develop elevated Ag-specific IgG1:IgG2 ratios compared to G1m3-carriers. This elevated IgG1:IgG2 ratio was further associated with higher FcγR-dimer engagement, a surrogate for potential antibody-dependent cellular cytotoxicity (ADCC) and antibody-dependent cellular phagocytosis (ADCP) function. Although preliminary, these results suggest that IgG1 allotype may have a significant impact on IgG subclass distribution in response to vaccination and associated Fc-mediated effector functions. These results have important implications for ongoing HIV vaccine efficacy studies predicated on engagement of FcγR-mediated cellular functions including ADCC and ADCP, and warrant further investigation. Our novel allotyping protocol provides new tools to determine the potential impact of IgG1 allotypes on vaccine efficacy.
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Affiliation(s)
| | - Paul F McKay
- Imperial College London, Medicine, London, United Kingdom
| | - Amy W Chung
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Stephen J Kent
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia.,ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, University of Melbourne, Melbourne, VIC, Australia.,Melbourne Sexual Health Centre, Department of Infectious Diseases, Alfred Health, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Jill Gilmour
- IAVI Human Immunology Laboratory, Imperial College London, London, United Kingdom
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