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Ornelas MY, Ouyang WO, Wu NC. A library-on-library screen reveals the breadth expansion landscape of a broadly neutralizing betacoronavirus antibody. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.06.597810. [PMID: 38915656 PMCID: PMC11195093 DOI: 10.1101/2024.06.06.597810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Broadly neutralizing antibodies (bnAbs) typically evolve cross-reactivity breadth through acquiring somatic hypermutations. While evolution of breadth requires improvement of binding to multiple antigenic variants, most experimental evolution platforms select against only one antigenic variant at a time. In this study, a yeast display library-on-library approach was applied to delineate the affinity maturation of a betacoronavirus bnAb, S2P6, against 27 spike stem helix peptides in a single experiment. Our results revealed that the binding affinity landscape of S2P6 varies among different stem helix peptides. However, somatic hypermutations that confer general improvement in binding affinity across different stem helix peptides could also be identified. We further showed that a key somatic hypermutation for breadth expansion involves long-range interaction. Overall, our work not only provides a proof-of-concept for using a library-on-library approach to analyze the evolution of antibody breadth, but also has important implications for the development of broadly protective vaccines.
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Affiliation(s)
- Marya Y. Ornelas
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Wenhao O. Ouyang
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Nicholas C. Wu
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
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2
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Cisar JO, Wang X, Woods RJ, Cain KD, Wiens GD. Structural and genetic basis for the binding of a mouse monoclonal antibody to Flavobacterium psychrophilum lipopolysaccharide. JOURNAL OF FISH DISEASES 2024:e13958. [PMID: 38837770 DOI: 10.1111/jfd.13958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 03/20/2024] [Accepted: 04/08/2024] [Indexed: 06/07/2024]
Abstract
A mouse monoclonal antibody (mAb FL100A) previously prepared against Flavobacterium psychrophilum (Fp) CSF259-93 has now been examined for binding to lipopolysaccharides (LPS) of this strain and Fp 950106-1/1. The corresponding O-polysaccharides (O-PS) of these strains are formed by identical trisaccharide repeats composed of l-Rhamnose (l-Rha), 2-acetamido-2-deoxy-l-fucose (l-FucNAc) and 2-acetamido-4-R1-2,4-dideoxy-d-quinovose (d-Qui2NAc4NR1) where R1 represents a dihydroxyhexanamido moiety. The O-PS loci of these strains are also identical except for the gene (wzy1 or wzy2) that encodes the polysaccharide polymerase. Accordingly, adjacent O-PS repeats are joined through d-Qui2NAc4NR1 and l-Rha by wzy2-dependent α(1-2) linkages in Fp CSF259-93 versus wzy1-dependent β(1-3) linkages in Fp 950106-1/1. mAb FL100A reacted strongly with Fp CSF259-93 O-PS and LPS but weakly or not at all with Fp 950106-1/1 LPS and O-PS. Importantly, it also labelled cell surface blebs on the former but not the latter strain. Additionally, mAb binding was approximately 5-times stronger to homologous Fp CSF259-93 LPS than to LPS from a strain with a different R-group gene. A conformational epitope for mAb FL100A binding was suggested from molecular dynamic simulations of each O-PS. Thus, Fp CSF259-93 O-PS formed a stable well-defined compact helix in which the R1 groups were displayed in a regular pattern on the helix exterior while unreactive Fp 950106-1/1 O-PS adopted a flexible extended linear conformation. Taken together, the findings establish the specificity of mAb FL100A for Wzy2-linked F. psychrophilum O-PS and LPS.
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Affiliation(s)
- John O Cisar
- United States Department of Agricultural Research Service, National Center for Cool and Cold Water Aquaculture, Kearneysville, West Virginia, USA
| | - Xiaocong Wang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China
- Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, USA
| | - Robert J Woods
- Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, USA
| | - Kenneth D Cain
- Department of Fish and Wildlife Resources and the Aquaculture Research Institute, University of Idaho, Moscow, Idaho, USA
- Manchester Research Station, Northwest Fisheries Science Center, NOAA - Fisheries, Port Orchard, Washington, USA
| | - Gregory D Wiens
- United States Department of Agricultural Research Service, National Center for Cool and Cold Water Aquaculture, Kearneysville, West Virginia, USA
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Wang L, Wen Z, Liu SW, Zhang L, Finley C, Lee HJ, Fan HJS. Overview of AlphaFold2 and breakthroughs in overcoming its limitations. Comput Biol Med 2024; 176:108620. [PMID: 38761500 DOI: 10.1016/j.compbiomed.2024.108620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 05/01/2024] [Accepted: 05/14/2024] [Indexed: 05/20/2024]
Abstract
Predicting three-dimensional (3D) protein structures has been challenging for decades. The emergence of AlphaFold2 (AF2), a deep learning-based machine learning method developed by DeepMind, became a game changer in the protein folding community. AF2 can predict a protein's three-dimensional structure with high confidence based on its amino acid sequence. Accurate prediction of protein structures can dramatically accelerate our understanding of biological mechanisms and provide a solid foundation for reliable drug design. Although AF2 breaks through the barriers in predicting protein structures, many rooms remain to be further studied. This review provides a brief historical overview of the development of protein structure prediction, covering template-based, template-free, and machine learning-based methods. In addition to reviewing the potential benefits (Pros) and considerations (Cons) of using AF2, this review summarizes the diverse applications, including protein structure predictions, dynamic changes, point mutation, integration of language model and experimental data, protein complex, and protein-peptide interaction. It underscores recent advancements in efficiency, reliability, and broad application of AF2. This comprehensive review offers valuable insights into the applications of AF2 and AF2-inspired AI methods in structural biology and its potential for clinically significant drug target discovery.
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Affiliation(s)
- Lei Wang
- College of Chemical Engineering, Sichuan University of Science and Engineering, Zigong City, Sichuan Province, 64300, China
| | - Zehua Wen
- College of Chemical Engineering, Sichuan University of Science and Engineering, Zigong City, Sichuan Province, 64300, China
| | - Shi-Wei Liu
- College of Chemical Engineering, Sichuan University of Science and Engineering, Zigong City, Sichuan Province, 64300, China
| | - Lihong Zhang
- Digestive Department, Binhai New Area Hospital of TCM Tianjin, Tianjin, 300451, China
| | - Cierra Finley
- Department of Natural Sciences, Southwest Tennessee Community College, Memphis, TN, 38015, USA
| | - Ho-Jin Lee
- Department of Natural Sciences, Southwest Tennessee Community College, Memphis, TN, 38015, USA; Division of Natural & Mathematical Sciences, LeMoyne-Own College, Memphis, TN, 38126, USA.
| | - Hua-Jun Shawn Fan
- College of Chemical Engineering, Sichuan University of Science and Engineering, Zigong City, Sichuan Province, 64300, China.
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Jacob-Dolan C, Lifton M, Powers OC, Miller J, Hachmann NP, Vu M, Surve N, Mazurek CR, Fisher JL, Rodrigues S, Patio RC, Anand T, Le Gars M, Sadoff J, Schmidt AG, Barouch DH. B cell somatic hypermutation following COVID-19 vaccination with Ad26.COV2.S. iScience 2024; 27:109716. [PMID: 38655202 PMCID: PMC11035370 DOI: 10.1016/j.isci.2024.109716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 02/02/2024] [Accepted: 04/07/2024] [Indexed: 04/26/2024] Open
Abstract
The viral vector-based COVID-19 vaccine Ad26.COV2.S has been recommended by the WHO since 2021 and has been administered to over 200 million people. Prior studies have shown that Ad26.COV2.S induces durable neutralizing antibodies (NAbs) that increase in coverage of variants over time, even in the absence of boosting or infection. Here, we studied humoral responses following Ad26.COV2.S vaccination in individuals enrolled in the initial Phase 1/2a trial of Ad26.COV2.S in 2020. Through 8 months post vaccination, serum NAb responses increased to variants, including B.1.351 (Beta) and B.1.617.2 (Delta), without additional boosting or infection. The level of somatic hypermutation, measured by nucleotide changes in the VDJ region of the heavy and light antibody chains, increased in Spike-specific B cells. Highly mutated mAbs from these sequences neutralized more SARS-CoV-2 variants than less mutated comparators. These findings suggest that the increase in NAb breadth over time following Ad26.COV2.S vaccination is mediated by affinity maturation.
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Affiliation(s)
- Catherine Jacob-Dolan
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA, USA
- Harvard Medical School, Department of Microbiology, Boston, MA, USA
- Harvard Medical School, Department of Immunology, Boston, MA, USA
| | - Michelle Lifton
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Olivia C. Powers
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Jessica Miller
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Nicole P. Hachmann
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Mya Vu
- Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA, USA
| | - Nehalee Surve
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Camille R. Mazurek
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Jana L. Fisher
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Stefanie Rodrigues
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Robert C. Patio
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Trisha Anand
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Mathieu Le Gars
- Janssen Vaccines and Prevention B.V., Leiden, the Netherlands
| | - Jerald Sadoff
- Janssen Vaccines and Prevention B.V., Leiden, the Netherlands
| | - Aaron G. Schmidt
- Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA, USA
- Harvard Medical School, Department of Microbiology, Boston, MA, USA
| | - Dan H. Barouch
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA, USA
- Harvard Medical School, Department of Immunology, Boston, MA, USA
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Xu X, Delves PJ, Huang J, Shao W, Qiu X. Comparison of Non B-Ig and B-Ig. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1445:73-88. [PMID: 38967751 DOI: 10.1007/978-981-97-0511-5_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/06/2024]
Abstract
Immunoglobulin (Ig) has been widely acknowledged to be produced solely by B-lineage cells. However, growing evidence has demonstrated the expression of Ig in an array of cancer cells, as well as normal cells including epithelial cells, epidermal cells, mesangial cells, monocytes, and neutrophils. Ig has even been found to be expressed in non-B cells at immune-privileged sites such as neurons and spermatogenic cells. Despite these non-B cell-derived Igs (non-B-Igs) sharing the same symmetric structures with conventional Igs (B-Igs), further studies have revealed unique characteristics of non-B-Ig, such as restricted variable region and aberrant glycosylation. Moreover, non-B-Ig exhibits properties of promoting malignant behaviours of cancer cells, therefore it could be utilised in the clinic as a potential therapeutic biomarker or target. The elucidation of the generation and regulation of non-B-Ig will certainly broaden our understanding of immunology.
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Affiliation(s)
- Xiaojun Xu
- Department of Immunology, School of Basic Medical Sciences, Peking University, Beijing, China.
| | - Peter J Delves
- Division of Infection and Immunity, Department of Immunology, UCL (University College London), London, UK
| | - Jing Huang
- Department of Immunology, School of Basic Medical Sciences, Peking University, Beijing, China
| | - Wenwei Shao
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Xiaoyan Qiu
- Department of Immunology, School of Basic Medical Sciences, Peking University, Beijing, China
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Godelaine J, Chitale Y, De Moor B, Mathieu C, Ancheva L, Van Damme P, Claeys KG, Bossuyt X, Carpentier S, Poesen K. Peptides From the Variable Domain of Immunoglobulin G as Biomarkers in Chronic Inflammatory Demyelinating Polyradiculoneuropathy. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2023; 10:e200162. [PMID: 37640545 PMCID: PMC10462053 DOI: 10.1212/nxi.0000000000200162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 07/24/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND AND OBJECTIVES Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is a clinically heterogeneous immune-mediated disease. Diagnostic biomarkers for CIDP are currently lacking. Peptides derived from the variable domain of circulating immunoglobulin G (IgG) have earlier been shown to be shared among patients with the same immunologic disease. Because humoral immune factors are hypothesized to be involved in the pathogenesis of CIDP, we evaluated IgG variable domain-derived peptides as diagnostic biomarkers in CIDP (primary objective) and whether IgG-derived peptides could cluster objective clinical entities in CIDP (secondary objective). METHODS IgG-derived peptides were determined in prospectively collected sera of patients with CIDP and neurologic controls by means of mass spectrometry. Peptides of interest were selected through statistical analysis in a discovery cohort followed by sequence determination and confirmation. Diagnostic performance was evaluated for individual selected peptides and for a multipeptide model incorporating selected peptides, followed by performance reassessment in a validation cohort. Clustering of patients with CIDP based on IgG-derived peptides was evaluated through unsupervised sparse principal component analysis followed by k-means clustering. RESULTS Sixteen peptides originating from the IgG variable domain were selected as candidate biomarkers in a discovery cohort of 44 patients with CIDP and 29 neurologic controls. For all 16 peptides, univariate logistic regressions and ROC curve analysis demonstrated increasing peptide abundances to associate with increased odds for CIDP (area under the curves [AUCs] ranging from 64.6% to 79.6%). When including age and sex in the logistic regression models, this remained the case for 13/16 peptides. A model composed of 5/16 selected peptides showed strong discriminating performance between patients with CIDP and controls (AUC 91.5%; 95% CI 84.6%-98.4%; p < 0.001). In the validation cohort containing 45 patients and 43 controls, 2/16 peptides demonstrated increasing abundances to associate with increased odds for CIDP, while the five-peptide model demonstrated an AUC of 61.2% (95% CI 49.3%-73.2%; p = 0.064). Peptide-based patient clusters did not associate with clinical features. DISCUSSION IgG variable domain-derived peptides showed a valid source for diagnostic biomarkers in CIDP, albeit with challenges toward replication. Our proof-of-concept findings warrant further study of IgG-derived peptides as biomarkers in more homogeneous cohorts of patients with CIDP and controls. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that the pattern of serum IgG-derived peptide clusters may help differentiate between patients with CIDP and those with other peripheral neuropathies.
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Affiliation(s)
- Joris Godelaine
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Yamini Chitale
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Bart De Moor
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Chantal Mathieu
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Lina Ancheva
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Philip Van Damme
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Kristl G Claeys
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Xavier Bossuyt
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Sebastien Carpentier
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Koen Poesen
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium.
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7
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Gaudreault F, Corbeil CR, Sulea T. Enhanced antibody-antigen structure prediction from molecular docking using AlphaFold2. Sci Rep 2023; 13:15107. [PMID: 37704686 PMCID: PMC10499836 DOI: 10.1038/s41598-023-42090-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 09/05/2023] [Indexed: 09/15/2023] Open
Abstract
Predicting the structure of antibody-antigen complexes has tremendous value in biomedical research but unfortunately suffers from a poor performance in real-life applications. AlphaFold2 (AF2) has provided renewed hope for improvements in the field of protein-protein docking but has shown limited success against antibody-antigen complexes due to the lack of co-evolutionary constraints. In this study, we used physics-based protein docking methods for building decoy sets consisting of low-energy docking solutions that were either geometrically close to the native structure (positives) or not (negatives). The docking models were then fed into AF2 to assess their confidence with a novel composite score based on normalized pLDDT and pTMscore metrics after AF2 structural refinement. We show benefits of the AF2 composite score for rescoring docking poses both in terms of (1) classification of positives/negatives and of (2) success rates with particular emphasis on early enrichment. Docking models of at least medium quality present in the decoy set, but not necessarily highly ranked by docking methods, benefitted most from AF2 rescoring by experiencing large advances towards the top of the reranked list of models. These improvements, obtained without any calibration or novel methodologies, led to a notable level of performance in antibody-antigen unbound docking that was never achieved previously.
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Affiliation(s)
- Francis Gaudreault
- Human Health Therapeutics Research Centre, National Research Council Canada, 6100 Royalmount Avenue, Montreal, QC, H4P 2R2, Canada
| | - Christopher R Corbeil
- Human Health Therapeutics Research Centre, National Research Council Canada, 6100 Royalmount Avenue, Montreal, QC, H4P 2R2, Canada
| | - Traian Sulea
- Human Health Therapeutics Research Centre, National Research Council Canada, 6100 Royalmount Avenue, Montreal, QC, H4P 2R2, Canada.
- Institute of Parasitology, McGill University, 21111 Lakeshore Road, Sainte-Anne-de-Bellevue, QC, H9X 3V9, Canada.
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8
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Hoffstedt M, Stein MO, Baumann K, Wätzig H. Experimentally Observed Conformational Changes in Antibodies Due to Binding and Paratope-epitope Asymmetries. J Pharm Sci 2023; 112:2404-2411. [PMID: 37295605 DOI: 10.1016/j.xphs.2023.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 06/02/2023] [Accepted: 06/02/2023] [Indexed: 06/12/2023]
Abstract
Understanding binding related changes in antibody conformations is important for epitope prediction and antibody refinement. The increase of available data in the PDB allowed a more detailed investigation of the conformational landscape for free and bound antibodies. A dataset containing a total of 835 unique PDB entries of antibodies that were crystallized in complex with their antigen and in a free state was constructed. It was examined for binding related conformation changes. We present further evidence supporting the theory of a pre-existing-equilibrium in experimental data. Multiple sequence alignments did not show binding induced tendencies in the solvent accessibility of residues in any specific position. Evaluating the changes in solvent accessibility per residue revealed a certain binding induced increase for several amino acids. Antibody-antigen interaction statistics were established and quantify a significant directional asymmetry between many interacting antibody and antigen residue pairs, especially a richness in tyrosine in the antibody epitope compared to its paratope. This asymmetry could potentially facilitate an increase in the success rate of computationally guided antibody refinement.
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Affiliation(s)
- Marc Hoffstedt
- Institute of Medicinal and Pharmaceutical Chemistry, TU Braunschweig, Braunschweig, Deutschland
| | - Matthias Oliver Stein
- Institute of Medicinal and Pharmaceutical Chemistry, TU Braunschweig, Braunschweig, Deutschland
| | - Knut Baumann
- Institute of Medicinal and Pharmaceutical Chemistry, TU Braunschweig, Braunschweig, Deutschland
| | - Hermann Wätzig
- Institute of Medicinal and Pharmaceutical Chemistry, TU Braunschweig, Braunschweig, Deutschland
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9
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Li J, Kang G, Wang J, Yuan H, Wu Y, Meng S, Wang P, Zhang M, Wang Y, Feng Y, Huang H, de Marco A. Affinity maturation of antibody fragments: A review encompassing the development from random approaches to computational rational optimization. Int J Biol Macromol 2023; 247:125733. [PMID: 37423452 DOI: 10.1016/j.ijbiomac.2023.125733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 07/04/2023] [Accepted: 07/06/2023] [Indexed: 07/11/2023]
Abstract
Routinely screened antibody fragments usually require further in vitro maturation to achieve the desired biophysical properties. Blind in vitro strategies can produce improved ligands by introducing random mutations into the original sequences and selecting the resulting clones under more and more stringent conditions. Rational approaches exploit an alternative perspective that aims first at identifying the specific residues potentially involved in the control of biophysical mechanisms, such as affinity or stability, and then to evaluate what mutations could improve those characteristics. The understanding of the antigen-antibody interactions is instrumental to develop this process the reliability of which, consequently, strongly depends on the quality and completeness of the structural information. Recently, methods based on deep learning approaches critically improved the speed and accuracy of model building and are promising tools for accelerating the docking step. Here, we review the features of the available bioinformatic instruments and analyze the reports illustrating the result obtained with their application to optimize antibody fragments, and nanobodies in particular. Finally, the emerging trends and open questions are summarized.
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Affiliation(s)
- Jiaqi Li
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China; Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin 300072, China
| | - Guangbo Kang
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China; Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin 300072, China
| | - Jiewen Wang
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China; Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin 300072, China
| | - Haibin Yuan
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China; Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin 300072, China
| | - Yili Wu
- Zhejiang Provincial Clinical Research Center for Mental Disorders, School of Mental Health and the Affiliated Kangning Hospital, Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Wenzhou Medical University, Oujiang Laboratory, Wenzhou, Zhejiang 325035, China
| | - Shuxian Meng
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China
| | - Ping Wang
- New Technology R&D Department, Tianjin Modern Innovative TCM Technology Company Limited, Tianjin 300392, China
| | - Miao Zhang
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China; China Resources Biopharmaceutical Company Limited, Beijing 100029, China
| | - Yuli Wang
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China; Tianjin Pharmaceutical Da Ren Tang Group Corporation Limited, Traditional Chinese Pharmacy Research Institute, Tianjin Key Laboratory of Quality Control in Chinese Medicine, Tianjin 300457, China; State Key Laboratory of Drug Delivery Technology and Pharmacokinetics, Tianjin Institute of Pharmaceutical Research, Tianjin 300193, China
| | - Yuanhang Feng
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China
| | - He Huang
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China; Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin 300072, China.
| | - Ario de Marco
- Laboratory for Environmental and Life Sciences, University of Nova Gorica, Nova Gorica, Slovenia.
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10
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Sizova DV, Raiker S, Lakheram D, Rao V, Proffitt A, Jmeian Y, Voegtli W, Batonick M. Producing amyloid fibrils in vitro: A tool for studying AL amyloidosis. Biochem Biophys Rep 2023; 34:101442. [PMID: 36875796 PMCID: PMC9982448 DOI: 10.1016/j.bbrep.2023.101442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 02/03/2023] [Accepted: 02/16/2023] [Indexed: 02/27/2023] Open
Abstract
Amyloid light-chain (AL) amyloidosis is the second most common form of systemic amyloidosis which is characterized by a high level of mortality and no effective treatment to remove fibril deposition. This disorder is caused by malfunctioning of B-cells resulting in production of abnormal protein fibrils composed of immunoglobulin light chain fragments that tend to deposit on various organs and tissues. AL amyloidosis is set apart from other forms of amyloidosis in that no specific sequences have been identified in the immunoglobulin light chains that are amyloid fibril formation causative and patient specific. This unusual feature hinders the therapeutic progress and requires either direct access to patient samples (which is not always possible) or a source of in vitro produced fibrils. While isolated reports of successful AL amyloid fibril formation from various patient-specific protein sequences can be found in literature, no systematic research on this topic was performed since 1999. In the present study we have developed a generalized approach to in vitro fibril production from various types of previously reported [[1], [2], [3]] amyloidogenic immunoglobulin light chains and their fragments. We describe the procedure from selection and generation of starting material, through finding of optimal assay conditions, to applying a panel of methods to confirm successful fibril formation. Procedure details are discussed in the light of the most recent findings and theories on amyloid fibril formation. The reported protocol produces high quality AL amyloid fibrils that can subsequently be used in the development of the much-needed amyloid-targeting diagnostic and therapeutic approaches.
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11
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Abd Alhadi M, Friedman LM, Karlsson EA, Cohen-Lavi L, Burkovitz A, Schultz-Cherry S, Noah TL, Weir SS, Shulman LM, Beck MA, Hertz T. Obesity Is Associated with an Impaired Baseline Repertoire of Anti-Influenza Virus Antibodies. Microbiol Spectr 2023; 11:e0001023. [PMID: 37098954 PMCID: PMC10269616 DOI: 10.1128/spectrum.00010-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 03/27/2023] [Indexed: 04/27/2023] Open
Abstract
Obesity is a risk factor for severe disease and mortality for both influenza and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. While previous studies show that individuals with obesity generate antibody responses following influenza vaccination, infection rates within the obese group were twice as high as those in the healthy-weight group. The repertoire of antibodies raised against influenza viruses following previous vaccinations and/or natural exposures is referred to here as baseline immune history (BIH). To investigate the hypothesis that obesity impacts immune memory to infections and vaccines, we profiled the BIH of obese and healthy-weight adults vaccinated with the 2010-2011 seasonal influenza vaccine in response to conformational and linear antigens. Despite the extensive heterogeneity of the BIH profiles in both groups, there were striking differences between obese and healthy subjects, especially with regard to A/H1N1 strains and the 2009 pandemic virus (Cal09). Individuals with obesity had lower IgG and IgA magnitude and breadth for a panel of A/H1N1 whole viruses and hemagglutinin proteins from 1933 to 2009 but increased IgG magnitude and breadth for linear peptides from the Cal09 H1 and N1 proteins. Age was also associated with A/H1N1 BIH, with young individuals with obesity being more likely to have reduced A/H1N1 BIH. We found that individuals with low IgG BIH had significantly lower neutralizing antibody titers than individuals with high IgG BIH. Taken together, our findings suggest that increased susceptibility of obese participants to influenza infection may be mediated in part by obesity-associated differences in the memory B-cell repertoire, which cannot be ameliorated by current seasonal vaccination regimens. Overall, these data have vital implications for the next generation of influenza virus and SARS-CoV-2 vaccines. IMPORTANCE Obesity is associated with increased morbidity and mortality from influenza and SARS-CoV-2 infection. While vaccination is the most effective strategy for preventing influenza virus infection, our previous studies showed that influenza vaccines fail to provide optimal protection in obese individuals despite reaching canonical correlates of protection. Here, we show that obesity may impair immune history in humans and cannot be overcome by seasonal vaccination, especially in younger individuals with decreased lifetime exposure to infections and seasonal vaccines. Low baseline immune history is associated with decreased protective antibody responses. Obesity potentially handicaps overall responses to vaccination, biasing it toward responses to linear epitopes, which may reduce protective capacity. Taken together, our data suggest that young obese individuals are at an increased risk of reduced protection by vaccination, likely due to altered immune history biased toward nonprotective antibody responses. Given the worldwide obesity epidemic coupled with seasonal respiratory virus infections and the inevitable next pandemic, it is imperative that we understand and improve vaccine efficacy in this high-risk population. The design, development, and usage of vaccines for and in obese individuals may need critical evaluation, and immune history should be considered an alternate correlate of protection in future vaccine clinical trials.
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Affiliation(s)
- Marwa Abd Alhadi
- Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Lilach M. Friedman
- Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Erik A. Karlsson
- Virology Unit, Institute Pasteur du Cambodge, Phnom Penh, Cambodia
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Liel Cohen-Lavi
- National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Anat Burkovitz
- Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Stacey Schultz-Cherry
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Terry L. Noah
- Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Samuel S. Weir
- Department of Family Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Lester M. Shulman
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Melinda A. Beck
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Tomer Hertz
- Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
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12
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Henderson R, Zhou Y, Stalls V, Wiehe K, Saunders KO, Wagh K, Anasti K, Barr M, Parks R, Alam SM, Korber B, Haynes BF, Bartesaghi A, Acharya P. Structural basis for breadth development in the HIV-1 V3-glycan targeting DH270 antibody clonal lineage. Nat Commun 2023; 14:2782. [PMID: 37188681 PMCID: PMC10184639 DOI: 10.1038/s41467-023-38108-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 04/14/2023] [Indexed: 05/17/2023] Open
Abstract
Antibody affinity maturation enables adaptive immune responses to a wide range of pathogens. In some individuals broadly neutralizing antibodies develop to recognize rapidly mutating pathogens with extensive sequence diversity. Vaccine design for pathogens such as HIV-1 and influenza has therefore focused on recapitulating the natural affinity maturation process. Here, we determine structures of antibodies in complex with HIV-1 Envelope for all observed members and ancestral states of the broadly neutralizing HIV-1 V3-glycan targeting DH270 antibody clonal B cell lineage. These structures track the development of neutralization breadth from the unmutated common ancestor and define affinity maturation at high spatial resolution. By elucidating contacts mediated by key mutations at different stages of antibody development we identified sites on the epitope-paratope interface that are the focus of affinity optimization. Thus, our results identify bottlenecks on the path to natural affinity maturation and reveal solutions for these that will inform immunogen design aimed at eliciting a broadly neutralizing immune response by vaccination.
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Affiliation(s)
- Rory Henderson
- Department of Medicine and Immunology, Duke University School of Medicine, Durham, NC, USA.
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA.
| | - Ye Zhou
- Department of Computer Science, Duke University, Durham, NC, USA
| | - Victoria Stalls
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
| | - Kevin Wiehe
- Department of Medicine and Immunology, Duke University School of Medicine, Durham, NC, USA
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
| | - Kevin O Saunders
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
- Department of Surgery, Duke University School of Medicine, Durham, NC, USA
| | - Kshitij Wagh
- Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM, USA
- New Mexico Consortium, Los Alamos, NM, USA
| | - Kara Anasti
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
| | - Maggie Barr
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
| | - Robert Parks
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
| | - S Munir Alam
- Department of Medicine and Immunology, Duke University School of Medicine, Durham, NC, USA
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
- Department of Pathology, Duke University School of Medicine, Durham, NC, USA
| | - Bette Korber
- Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM, USA
- New Mexico Consortium, Los Alamos, NM, USA
| | - Barton F Haynes
- Department of Medicine and Immunology, Duke University School of Medicine, Durham, NC, USA.
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA.
| | - Alberto Bartesaghi
- Department of Computer Science, Duke University, Durham, NC, USA.
- Department of Biochemistry, Duke University School of Medicine, Durham, NC, USA.
- Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA.
| | - Priyamvada Acharya
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA.
- Department of Surgery, Duke University School of Medicine, Durham, NC, USA.
- Department of Biochemistry, Duke University School of Medicine, Durham, NC, USA.
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13
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Absmeier RM, Rottenaicher GJ, Svilenov HL, Kazman P, Buchner J. Antibodies gone bad - the molecular mechanism of light chain amyloidosis. FEBS J 2023; 290:1398-1419. [PMID: 35122394 DOI: 10.1111/febs.16390] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 01/19/2022] [Accepted: 02/03/2022] [Indexed: 12/19/2022]
Abstract
Light chain amyloidosis (AL) is a systemic disease in which abnormally proliferating plasma cells secrete large amounts of mutated antibody light chains (LCs) that eventually form fibrils. The fibrils are deposited in various organs, most often in the heart and kidney, and impair their function. The prognosis for patients diagnosed with AL is generally poor. The disease is set apart from other amyloidoses by the huge number of patient-specific mutations in the disease-causing and fibril-forming protein. The molecular mechanisms that drive the aggregation of mutated LCs into fibrils have been enigmatic, which hindered the development of efficient diagnostics and therapies. In this review, we summarize our current knowledge on AL amyloidosis and discuss open issues.
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Affiliation(s)
- Ramona M Absmeier
- Center for Functional Protein Assemblies and Department of Chemistry, Technische Universität München, Garching, Germany
| | - Georg J Rottenaicher
- Center for Functional Protein Assemblies and Department of Chemistry, Technische Universität München, Garching, Germany
| | - Hristo L Svilenov
- Center for Functional Protein Assemblies and Department of Chemistry, Technische Universität München, Garching, Germany
| | - Pamina Kazman
- Center for Functional Protein Assemblies and Department of Chemistry, Technische Universität München, Garching, Germany
| | - Johannes Buchner
- Center for Functional Protein Assemblies and Department of Chemistry, Technische Universität München, Garching, Germany
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14
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Chauhan VM, Pantazes RJ. Analysis of conformational stability of interacting residues in protein binding interfaces. Protein Eng Des Sel 2023; 36:gzad016. [PMID: 37889566 PMCID: PMC10681001 DOI: 10.1093/protein/gzad016] [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: 05/14/2023] [Revised: 10/17/2023] [Accepted: 10/18/2023] [Indexed: 10/28/2023] Open
Abstract
After approximately 60 years of work, the protein folding problem has recently seen rapid advancement thanks to the inventions of AlphaFold and RoseTTAFold, which are machine-learning algorithms capable of reliably predicting protein structures from their sequences. A key component in their success was the inclusion of pairwise interaction information between residues. As research focus shifts towards developing algorithms to design and engineer binding proteins, it is likely that knowledge of interaction features at protein interfaces can improve predictions. Here, 574 protein complexes were analyzed to identify the stability features of their pairwise interactions, revealing that interactions between pre-stabilized residues are a selected feature in protein binding interfaces. In a retrospective analysis of 475 de novo designed binding proteins with an experimental success rate of 19%, inclusion of pairwise interaction pre-stabilization parameters increased the frequency of identifying experimentally successful binders to 40%.
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Affiliation(s)
- Varun M Chauhan
- Department of Chemical Engineering, Auburn University, Auburn, AL 36849, USA
| | - Robert J Pantazes
- Department of Chemical Engineering, Auburn University, Auburn, AL 36849, USA
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15
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Liu C, Lin H, Cao L, Wang K, Sui J. Research progress on unique paratope structure, antigen binding modes, and systematic mutagenesis strategies of single-domain antibodies. Front Immunol 2022; 13:1059771. [PMID: 36479130 PMCID: PMC9720397 DOI: 10.3389/fimmu.2022.1059771] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Accepted: 11/07/2022] [Indexed: 11/22/2022] Open
Abstract
Single-domain antibodies (sdAbs) showed the incredible advantages of small molecular weight, excellent affinity, specificity, and stability compared with traditional IgG antibodies, so their potential in binding hidden antigen epitopes and hazard detection in food, agricultural and veterinary fields were gradually explored. Moreover, its low immunogenicity, easy-to-carry target drugs, and penetration of the blood-brain barrier have made sdAbs remarkable achievements in medical treatment, toxin neutralization, and medical imaging. With the continuous development and maturity of modern molecular biology, protein analysis software and database with different algorithms, and next-generation sequencing technology, the unique paratope structure and different antigen binding modes of sdAbs compared with traditional IgG antibodies have aroused the broad interests of researchers with the increased related studies. However, the corresponding related summaries are lacking and needed. Different antigens, especially hapten antigens, show distinct binding modes with sdAbs. So, in this paper, the unique paratope structure of sdAbs, different antigen binding cases, and the current maturation strategy of sdAbs were classified and summarized. We hope this review lays a theoretical foundation to elucidate the antigen-binding mechanism of sdAbs and broaden the further application of sdAbs.
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16
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Costa Silva RCM, Bandeira-Melo C, Paula Neto HA, Vale AM, Travassos LH. COVID-19 diverse outcomes: Aggravated reinfection, type I interferons and antibodies. Med Hypotheses 2022; 167:110943. [PMID: 36105250 PMCID: PMC9461281 DOI: 10.1016/j.mehy.2022.110943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 06/29/2022] [Accepted: 06/30/2022] [Indexed: 12/04/2022]
Abstract
SARS-CoV-2 infection intrigued medicine with diverse outcomes ranging from asymptomatic to severe acute respiratory syndrome (SARS) and death. After more than two years of pandemic, reports of reinfection concern researchers and physicists. Here, we will discuss potential mechanisms that can explain reinfections, including the aggravated ones. The major topics of this hypothesis paper are the disbalance between interferon and antibodies responses, HLA heterogeneity among the affected population, and increased proportion of cytotoxic CD4+ T cells polarization in relation to T follicular cells (Tfh) subtypes. These features affect antibody levels and hamper the humoral immunity necessary to prevent or minimize the viral burden in the case of reinfections.
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Affiliation(s)
- Rafael Cardoso Maciel Costa Silva
- Laboratório de Imunoreceptores e Sinalização, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Christianne Bandeira-Melo
- Laboratório de Inflamação, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Heitor Afonso Paula Neto
- Laboratório de Alvos Moleculares, Faculdade de Farmácia, Departamento de Biotecnologia Farmacêutica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - André Macedo Vale
- Laboratório de Biologia de Linfócitos, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Leonardo Holanda Travassos
- Laboratório de Imunoreceptores e Sinalização, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
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17
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Correlation between the binding affinity and the conformational entropy of nanobody SARS-CoV-2 spike protein complexes. Proc Natl Acad Sci U S A 2022; 119:e2205412119. [PMID: 35858383 PMCID: PMC9351521 DOI: 10.1073/pnas.2205412119] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Understanding the structural principles that determine the binding affinity of nanobodies to the spike protein of severe acute respiratory syndrome coronavirus 2 has been difficult. We analyzed electron microscopy maps of nanobody-spike complexes and quantified the conformational entropy of binding. This informed the design of an engineered nanobody with improved binding to the spike protein. This result offers a guiding principle for the rational maturation of nanobodies directed against the spike. High-binding potency nanobodies have been shown to be effective in animal models; thus, this technology could have application in future pandemics. Camelid single-domain antibodies, also known as nanobodies, can be readily isolated from naïve libraries for specific targets but often bind too weakly to their targets to be immediately useful. Laboratory-based genetic engineering methods to enhance their affinity, termed maturation, can deliver useful reagents for different areas of biology and potentially medicine. Using the receptor binding domain (RBD) of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein and a naïve library, we generated closely related nanobodies with micromolar to nanomolar binding affinities. By analyzing the structure–activity relationship using X-ray crystallography, cryoelectron microscopy, and biophysical methods, we observed that higher conformational entropy losses in the formation of the spike protein–nanobody complex are associated with tighter binding. To investigate this, we generated structural ensembles of the different complexes from electron microscopy maps and correlated the conformational fluctuations with binding affinity. This insight guided the engineering of a nanobody with improved affinity for the spike protein.
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18
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Tsuji I, Vang F, Dominguez D, Karwal L, Sanjali A, Livengood JA, Davidson E, Fouch ME, Doranz BJ, Das SC, Dean HJ. Somatic Hypermutation and Framework Mutations of Variable Region Contribute to Anti-Zika Virus-Specific Monoclonal Antibody Binding and Function. J Virol 2022; 96:e0007122. [PMID: 35575481 PMCID: PMC9175631 DOI: 10.1128/jvi.00071-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 04/04/2022] [Indexed: 11/20/2022] Open
Abstract
Zika virus (ZIKV) is a global public health concern due to its ability to cause congenital Zika syndrome and lack of approved vaccine, therapeutic, or other control measures. We discovered eight novel rabbit monoclonal antibodies (MAbs) that bind to distinct ZIKV envelope protein epitopes. The majority of the MAbs were ZIKV specific and targeted the lateral ridge of the envelope (E) protein domain III, while the MAb with the highest neutralizing activity recognized a putative quaternary epitope spanning E protein domains I and III. One of the non-neutralizing MAbs specifically recognized ZIKV precursor membrane protein (prM). Somatic hypermutation of immunoglobulin variable regions increases antibody affinity maturation and triggers antibody class switching. Negative correlations were observed between the somatic hypermutation rate of the immunoglobulin heavy-chain variable region and antibody binding parameters such as equilibrium dissociation constant, dissociation constant, and half-maximal effective concentration value of MAb binding to ZIKV virus-like particles. Complementarity-determining regions recognize the antigen epitopes and are scaffolded by canonical framework regions. Reversion of framework region amino acids to the rabbit germ line sequence decreased anti-ZIKV MAb binding activity of some MAbs. Thus, antibody affinity maturation, including somatic hypermutation and framework region mutations, contributed to the binding and function of these anti-ZIKV MAbs. IMPORTANCE ZIKV is a global health concern against which no vaccine or therapeutics are available. We characterized eight novel rabbit monoclonal antibodies recognizing ZIKV envelope and prM proteins and studied the relationship between somatic hypermutation of complementarity-determining regions, framework regions, mutations, antibody specificity, binding, and neutralizing activity. The results contribute to understanding structural features and somatic mutation pathways by which potent Zika virus-neutralizing antibodies can evolve, including the role of antibody framework regions.
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Affiliation(s)
- Isamu Tsuji
- Vaccine Business Unit, Takeda Pharmaceutical Ltd., Cambridge, Massachusetts, USA
| | - Fue Vang
- Vaccine Business Unit, Takeda Pharmaceutical Ltd., Cambridge, Massachusetts, USA
| | - David Dominguez
- Vaccine Business Unit, Takeda Pharmaceutical Ltd., Cambridge, Massachusetts, USA
| | - Lovkesh Karwal
- Vaccine Business Unit, Takeda Pharmaceutical Ltd., Cambridge, Massachusetts, USA
| | - Ankita Sanjali
- Vaccine Business Unit, Takeda Pharmaceutical Ltd., Cambridge, Massachusetts, USA
| | - Jill A. Livengood
- Vaccine Business Unit, Takeda Pharmaceutical Ltd., Cambridge, Massachusetts, USA
| | | | | | | | - Subash C. Das
- Vaccine Business Unit, Takeda Pharmaceutical Ltd., Cambridge, Massachusetts, USA
| | - Hansi J. Dean
- Vaccine Business Unit, Takeda Pharmaceutical Ltd., Cambridge, Massachusetts, USA
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19
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Abstract
Vertebrate immune systems suppress viral infection using both innate restriction factors and adaptive immunity. Viruses mutate to escape these defenses, driving hosts to counterevolve to regain fitness. This cycle recurs repeatedly, resulting in an evolutionary arms race whose outcome depends on the pace and likelihood of adaptation by host and viral genes. Although viruses evolve faster than their vertebrate hosts, their proteins are subject to numerous functional constraints that impact the probability of adaptation. These constraints are globally defined by evolutionary landscapes, which describe the fitness and adaptive potential of all possible mutations. We review deep mutational scanning experiments mapping the evolutionary landscapes of both host and viral proteins engaged in arms races. For restriction factors and some broadly neutralizing antibodies, landscapes favor the host, which may help to level the evolutionary playing field against rapidly evolving viruses. We discuss the biophysical underpinnings of these landscapes and their therapeutic implications.
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Affiliation(s)
- Jeannette L Tenthorey
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA; , ,
| | - Michael Emerman
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA; , , .,Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Harmit S Malik
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA; , , .,Howard Hughes Medical Institute, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
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20
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Penter L, Gohil SH, Wu CJ. Natural Barcodes for Longitudinal Single Cell Tracking of Leukemic and Immune Cell Dynamics. Front Immunol 2022; 12:788891. [PMID: 35046946 PMCID: PMC8761982 DOI: 10.3389/fimmu.2021.788891] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 12/08/2021] [Indexed: 11/26/2022] Open
Abstract
Blood malignancies provide unique opportunities for longitudinal tracking of disease evolution following therapeutic bottlenecks and for the monitoring of changes in anti-tumor immunity. The expanding development of multi-modal single-cell sequencing technologies affords newer platforms to elucidate the mechanisms underlying these processes at unprecedented resolution. Furthermore, the identification of molecular events that can serve as in-vivo barcodes now facilitate the tracking of the trajectories of malignant and of immune cell populations over time within primary human samples, as these permit unambiguous identification of the clonal lineage of cell populations within heterogeneous phenotypes. Here, we provide an overview of the potential for chromosomal copy number changes, somatic nuclear and mitochondrial DNA mutations, single nucleotide polymorphisms, and T and B cell receptor sequences to serve as personal natural barcodes and review technical implementations in single-cell analysis workflows. Applications of these methodologies include the study of acquired therapeutic resistance and the dissection of donor- and host cellular interactions in the context of allogeneic hematopoietic stem cell transplantation.
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Affiliation(s)
- Livius Penter
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, United States
- Harvard Medical School, Boston, MA, United States
- Department of Hematology, Oncology, and Tumorimmunology, Campus Virchow Klinikum, Berlin, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Satyen H. Gohil
- Department of Academic Haematology, University College London Cancer Institute, London, United Kingdom
- Department of Haematology, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Catherine J. Wu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, United States
- Harvard Medical School, Boston, MA, United States
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, United States
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21
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Lu S, Li Y, Wang F, Nan X, Zhang S. Leveraging Sequential and Spatial Neighbors Information by Using CNNs Linked With GCNs for Paratope Prediction. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2022; 19:68-74. [PMID: 34029193 DOI: 10.1109/tcbb.2021.3083001] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Antibodies consisting of variable and constant regions, are a special type of proteins playing a vital role in immune system of the vertebrate. They have the remarkable ability to bind a large range of diverse antigens with extraordinary affinity and specificity. This malleability of binding makes antibodies an important class of biological drugs and biomarkers. In this article, we propose a method to identify which amino acid residues of an antibody directly interact with its associated antigen based on the features from sequence and structure. Our algorithm uses convolution neural networks (CNNs) linked with graph convolution networks (GCNs) to make use of information from both sequential and spatial neighbors to understand more about the local environment of target amino acid residue. Furthermore, we process the antigen partner of an antibody by employing an attention layer. Our method improves on the state-of-the-art methodology.
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22
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Anumukonda K, Francis M, Currie P, Tulenko F, Hsu E. Heavy chain-only antibody genes in fish evolved to generate unique CDR3 repertoire. Eur J Immunol 2021; 52:247-260. [PMID: 34708869 DOI: 10.1002/eji.202149588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 10/08/2021] [Accepted: 10/26/2021] [Indexed: 11/11/2022]
Abstract
In addition to conventional immunoglobulin, camelids and cartilaginous fish express a special class of antibody that consists only of heavy (H) chain (HCAbs). In the holocephalan elephantfish, there are two HCAb classes, one of which has evolved surprising features. The H-chain genes in cartilaginous fish are organized as 20-200 minigenes, or clusters, each consisting of VH, 1-3 DH, JH gene segments with one set of constant region exons. We report that HHC2 (holocephalan H-chain antibody 2) evolved from IgM H-chain clusters, but its DH gene segments have diverged considerably. The three DH in HHC2 clusters are A-rich, so that one to three potential reading frames for each DH encode lysine and arginine. All three are incorporated into the rearranged VDJ, ensuring that the ligand-binding site carries multiple basic residues, as cDNA sequences demonstrate. The electropositive character in HHC2 CDR3 is accompanied by a paucity of aromatic amino acids, the latter feature at variance to the established, interactive role of tyrosine not only in ligand-binding but generally at interfaces of protein complexes. The selection for these divergent HHC2 features challenges currently accepted ideas on what determines antibody reactivity and molecular recognition.
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Affiliation(s)
- Kamala Anumukonda
- Department of Physiology and Pharmacology, State University of New York Downstate Health Sciences University, Brooklyn, NY, 11203, USA
| | - Malcolm Francis
- National Institute of Water and Atmospheric Research, Wellington, New Zealand
| | - Peter Currie
- Australian Regenerative Medicine Institute, Monash University, Clayton, Victoria, 3800, Australia
| | - Frank Tulenko
- Australian Regenerative Medicine Institute, Monash University, Clayton, Victoria, 3800, Australia
| | - Ellen Hsu
- Department of Physiology and Pharmacology, State University of New York Downstate Health Sciences University, Brooklyn, NY, 11203, USA
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23
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Yeaman MR. Immunosuppression in Glomerular Diseases: Implications for SARS-CoV-2 Vaccines and COVID-19. GLOMERULAR DISEASES 2021; 1:277-293. [PMID: 34935004 PMCID: PMC8678218 DOI: 10.1159/000519182] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 08/19/2021] [Indexed: 01/13/2023]
Abstract
BACKGROUND Glomerular diseases (GD) are chronic conditions that often involve immune dysfunction and require immunosuppressive therapy (IST) to control underlying pathogenesis. Unfortunately, such diseases appear to heighten risks of severe outcomes in COVID-19 and predispose to other infections that may be life-threatening. Thus, averting preventable infections is imperative in GD patients. SUMMARY The advent of vaccines demonstrated to be safe and efficacious against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has favorably impacted the COVID-19 pandemic epidemiology. However, patients on ISTs were excluded from initial vaccine clinical trials. Thus, only limited and incomplete data are available currently regarding the potential impact of immunosuppression on immune response to or efficacy of the SARS-CoV-2 vaccines. However, new insights are emerging from SARS-CoV-2 vaccine studies, and impacts of ISTs on conventional vaccines are useful to consider. Mechanisms of immunosuppressive agents commonly used in the treatment of GD are reviewed with respect to implications for immune responses induced by SARS-CoV-2 vaccines. ISTs discussed include corticosteroids; alkylating agents; antimetabolites; calcineurin or mammalian target of rapamycin inhibitors; CD38+, CD20+, or CD19+ cell depletion; and complement protein C5 inhibition. KEY MESSAGES Many immunosuppressive therapies may potentially attenuate or impair protective immunity of the SARS-CoV-2 vaccines. However, as vaccines currently in use employ mRNA or nonreplicative viral vectors, they appear to be safe in patients on immunosuppression, further favoring vaccination. Moreover, predominant SARS-CoV-2 vaccines are likely to afford at least partial protective immunity through one or more immune mechanisms even in patients on IST. Guidelines and emerging strategies are also considered to optimize vaccine protection from COVID-19.
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Affiliation(s)
- Michael R. Yeaman
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
- Divisions of Molecular Medicine & Infectious Diseases, Harbor-UCLA Medical Center, Torrance, California, USA
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA
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24
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Dhande IS, Doris PA. Genomics and Inflammation in Cardiovascular Disease. Compr Physiol 2021; 11:2433-2454. [PMID: 34570903 DOI: 10.1002/cphy.c200032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Chronic cardiovascular diseases are associated with inflammatory responses within the blood vessels and end organs. The origin of this inflammation has not been certain, and neither is its relationship to disease clear. There is a need to determine whether this association is causal or coincidental to the processes leading to cardiovascular disease. These processes are themselves complex: many cardiovascular diseases arise in conjunction with the presence of sustained elevation of blood pressure. Inflammatory processes have been linked to hypertension, and causality has been suggested. Evidence of causality poses the difficult challenge of linking the integrated and multifaceted biology of blood pressure regulation with vascular function and complex elements of immune system function. These include both, innate and adaptive immunity, as well as interactions between the host immune system and the omnipresent microorganisms that are encountered in the environment and that colonize and exist in commensal relationship with the host. Progress has been made in this task and has drawn on experimental approaches in animals, much of which have focused on hypertension occurring with prolonged infusion of angiotensin II. These laboratory studies are complemented by studies that seek to inform disease mechanism by examining the genomic basis of heritable disease susceptibility in human populations. In this realm too, evidence has emerged that implicates genetic variation affecting immunity in disease pathogenesis. In this article, we survey the genetic and genomic evidence linking high blood pressure and its end-organ injuries to immune system function and examine evidence that genomic factors can influence disease risk. © 2021 American Physiological Society. Compr Physiol 11:1-22, 2021.
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Affiliation(s)
- Isha S Dhande
- Center for Human Genetics, Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Peter A Doris
- Center for Human Genetics, Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, Texas, USA
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25
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Immune Prophylaxis and Therapy for Human Cytomegalovirus Infection. Int J Mol Sci 2021; 22:ijms22168728. [PMID: 34445434 PMCID: PMC8395925 DOI: 10.3390/ijms22168728] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 07/29/2021] [Accepted: 07/30/2021] [Indexed: 02/06/2023] Open
Abstract
Human Cytomegalovirus (HCMV) infection is widespread and can result in severe sequelae in susceptible populations. Primary HCMV infection of naïve individuals results in life-long latency characterized by frequent and sporadic reactivations. HCMV infection elicits a robust antibody response, including neutralizing antibodies that can block the infection of susceptible cells in vitro and in vivo. Thus, antibody products and vaccines hold great promise for the prevention and treatment of HCMV, but to date, most attempts to demonstrate their safety and efficacy in clinical trials have been unsuccessful. In this review we summarize publicly available data on these products and highlight new developments and approaches that could assist in successful translation of HCMV immunotherapies.
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26
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Aizik L, Dror Y, Taussig D, Barzel A, Carmi Y, Wine Y. Antibody Repertoire Analysis of Tumor-Infiltrating B Cells Reveals Distinct Signatures and Distributions Across Tissues. Front Immunol 2021; 12:705381. [PMID: 34349765 PMCID: PMC8327180 DOI: 10.3389/fimmu.2021.705381] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 06/29/2021] [Indexed: 12/12/2022] Open
Abstract
The role of B cells in the tumor microenvironment (TME) has largely been under investigated, and data regarding the antibody repertoire encoded by B cells in the TME and the adjacent lymphoid organs are scarce. Here, we utilized B cell receptor high-throughput sequencing (BCR-Seq) to profile the antibody repertoire signature of tumor-infiltrating lymphocyte B cells (TIL−Bs) in comparison to B cells from three anatomic compartments in a mouse model of triple-negative breast cancer. We found that TIL-Bs exhibit distinct antibody repertoire measures, including high clonal polarization and elevated somatic hypermutation rates, suggesting a local antigen-driven B-cell response. Importantly, TIL-Bs were highly mutated but non-class switched, suggesting that class-switch recombination may be inhibited in the TME. Tracing the distribution of TIL-B clones across various compartments indicated that they migrate to and from the TME. The data thus suggests that antibody repertoire signatures can serve as indicators for identifying tumor-reactive B cells.
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Affiliation(s)
- Ligal Aizik
- The Shmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Yael Dror
- The Shmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - David Taussig
- The Shmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Adi Barzel
- The School of Neurobiology, Biochemistry and Biophysics, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Yaron Carmi
- Department of Pathology, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Yariv Wine
- The Shmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
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27
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Wellner A, McMahon C, Gilman MSA, Clements JR, Clark S, Nguyen KM, Ho MH, Hu VJ, Shin JE, Feldman J, Hauser BM, Caradonna TM, Wingler LM, Schmidt AG, Marks DS, Abraham J, Kruse AC, Liu CC. Rapid generation of potent antibodies by autonomous hypermutation in yeast. Nat Chem Biol 2021; 17:1057-1064. [PMID: 34168368 DOI: 10.1038/s41589-021-00832-4] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Accepted: 06/11/2021] [Indexed: 12/11/2022]
Abstract
The predominant approach for antibody generation remains animal immunization, which can yield exceptionally selective and potent antibody clones owing to the powerful evolutionary process of somatic hypermutation. However, animal immunization is inherently slow, not always accessible and poorly compatible with many antigens. Here, we describe 'autonomous hypermutation yeast surface display' (AHEAD), a synthetic recombinant antibody generation technology that imitates somatic hypermutation inside engineered yeast. By encoding antibody fragments on an error-prone orthogonal DNA replication system, surface-displayed antibody repertoires continuously mutate through simple cycles of yeast culturing and enrichment for antigen binding to produce high-affinity clones in as little as two weeks. We applied AHEAD to generate potent nanobodies against the SARS-CoV-2 S glycoprotein, a G-protein-coupled receptor and other targets, offering a template for streamlined antibody generation at large.
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Affiliation(s)
- Alon Wellner
- Department of Biomedical Engineering, University of California, Irvine, CA, USA
| | - Conor McMahon
- Department of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Vertex Pharmaceuticals, Boston, MA, USA
| | - Morgan S A Gilman
- Department of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Jonathan R Clements
- Department of Biomedical Engineering, University of California, Irvine, CA, USA
| | - Sarah Clark
- Department of Microbiology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Kianna M Nguyen
- Department of Biomedical Engineering, University of California, Irvine, CA, USA
| | - Ming H Ho
- Department of Biomedical Engineering, University of California, Irvine, CA, USA
| | - Vincent J Hu
- Department of Biomedical Engineering, University of California, Irvine, CA, USA
| | - Jung-Eun Shin
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Jared Feldman
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Blake M Hauser
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | | | - Laura M Wingler
- Department of Medicine, Duke University Medical Center, Durham, NC, USA.,Howard Hughes Medical Institute, Duke University Medical Center, Durham, NC, USA.,Department of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA
| | - Aaron G Schmidt
- Department of Microbiology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Debora S Marks
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA.,Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Jonathan Abraham
- Department of Microbiology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Department of Medicine, Division of Infectious Diseases, Brigham and Women's Hospital, Boston, MA, USA
| | - Andrew C Kruse
- Department of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.
| | - Chang C Liu
- Department of Biomedical Engineering, University of California, Irvine, CA, USA. .,Department of Chemistry, University of California, Irvine, CA, USA. .,Department of Molecular Biology & Biochemistry, University of California, Irvine, CA, USA.
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28
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Ehlers AM, den Hartog Jager CF, Kardol-Hoefnagel T, Katsburg MMD, Knulst AC, Otten HG. Comparison of Two Strategies to Generate Antigen-Specific Human Monoclonal Antibodies: Which Method to Choose for Which Purpose? Front Immunol 2021; 12:660037. [PMID: 34017336 PMCID: PMC8130674 DOI: 10.3389/fimmu.2021.660037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 04/12/2021] [Indexed: 11/13/2022] Open
Abstract
Human monoclonal antibodies (mAbs) are valuable tools to link genetic information with functional features and to provide a platform for conformational epitope mapping. Additionally, combined data on genetic and functional features provide a valuable mosaic for systems immunology approaches. Strategies to generate human mAbs from peripheral blood have been described and used in several studies including single cell sequencing of antigen-binding B cells and the establishment of antigen-specific monoclonal Epstein-Barr Virus (EBV) immortalized lymphoblastoid cell lines (LCLs). However, direct comparisons of these two strategies are scarce. Hence, we sought to set up these two strategies in our laboratory using peanut 2S albumins (allergens) and the autoantigen anti-Rho guanosine diphosphate dissociation inhibitor 2 (RhoGDI2, alternatively 'ARHGDIB') as antigen targets to directly compare these strategies regarding costs, time expenditure, recovery, throughput and complexity. Regarding single cell sequencing, up to 50% of corresponding V(D)J gene transcripts were successfully amplified of which 54% were successfully cloned into expression vectors used for heterologous expression. Seventy-five percent of heterologously expressed mAbs showed specific binding to peanut 2S albumins resulting in an overall recovery of 20.3%, which may be increased to around 29% by ordering gene sequences commercially for antibody cloning. In comparison, the establishment of monoclonal EBV-LCLs showed a lower overall recovery of around 17.6%. Heterologous expression of a mAb carrying the same variable region as its native counterpart showed comparable concentration-dependent binding abilities. By directly comparing those two strategies, single cell sequencing allows a broad examination of antigen-binding mAbs in a moderate-throughput manner, while the establishment of monoclonal EBV-LCLs is a powerful tool to select a small number of highly reactive mAbs restricted to certain B cell subpopulations. Overall, both strategies, initially set-up for peanut 2S albumins, are suitable to obtain human mAbs and they are easily transferrable to other target antigens as shown for ARHGDIB.
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Affiliation(s)
- Anna M Ehlers
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.,Department of Dermatology/Allergology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Constance F den Hartog Jager
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.,Department of Dermatology/Allergology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Tineke Kardol-Hoefnagel
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Miriam M D Katsburg
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - André C Knulst
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.,Department of Dermatology/Allergology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Henny G Otten
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
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29
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Schnaack OH, Nourmohammad A. Optimal evolutionary decision-making to store immune memory. eLife 2021; 10:61346. [PMID: 33908347 PMCID: PMC8116052 DOI: 10.7554/elife.61346] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 04/23/2021] [Indexed: 12/25/2022] Open
Abstract
The adaptive immune system provides a diverse set of molecules that can mount specific responses against a multitude of pathogens. Memory is a key feature of adaptive immunity, which allows organisms to respond more readily upon re-infections. However, differentiation of memory cells is still one of the least understood cell fate decisions. Here, we introduce a mathematical framework to characterize optimal strategies to store memory to maximize the utility of immune response over an organism's lifetime. We show that memory production should be actively regulated to balance between affinity and cross-reactivity of immune receptors for an effective protection against evolving pathogens. Moreover, we predict that specificity of memory should depend on the organism's lifespan, and shorter lived organisms with fewer pathogenic encounters should store more cross-reactive memory. Our framework provides a baseline to gauge the efficacy of immune memory in light of an organism's coevolutionary history with pathogens.
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Affiliation(s)
- Oskar H Schnaack
- Max Planck Institute for Dynamics and Self-organization, Göttingen, Germany.,Department of Physics, University of Washington, Seattle, United States
| | - Armita Nourmohammad
- Max Planck Institute for Dynamics and Self-organization, Göttingen, Germany.,Department of Physics, University of Washington, Seattle, United States.,Fred Hutchinson Cancer Research Center, Seattle, United States
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30
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Abstract
As one of the most important weapons against infectious diseases, vaccines have saved countless lives since their first use in the late eighteenth century. Antibodies produced by effector B cells upon vaccination play a critical role in mediating protection. The past several decades of research have led to a revolution in our understanding of B cell response to vaccination. Vaccines against SARS-CoV-2 coronavirus were developed at an unprecedented speed to power our global fight against COVID-19 pandemic. Nevertheless, we still face many challenges in the development of vaccines against many other deadly viruses, such as human immunodeficiency virus (HIV) and influenza virus. In this review, we summarize the latest findings on B cell response to vaccination and pathogen infection. We also discuss the current challenges in the field and the potential strategies targeting B cell response to improve vaccine efficacy.Key abbreviations box: BCR: B cell receptor; bNAb: broadly neutralizing antibody; DC: dendritic cells; DZ: dark zone; EF response: extrafollicular response; FDC: follicular dendritic cell; GC: germinal center; HIV: human immunodeficiency virus; IC: immune complex; LLPC: long-lived plasma cell; LZ: light zone; MBC: memory B cell; SLPB: short-lived plasmablast; TFH: T follicular helper cells; TLR: Toll-like receptor.
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Affiliation(s)
- Wei Luo
- Department of Microbiology and Immunology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Qian Yin
- Institute for Immunity, Transplantation & Infection, Stanford University School of Medicine, Stanford, California, USA
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31
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Affinity maturation: highlights in the application of in vitro strategies for the directed evolution of antibodies. Emerg Top Life Sci 2021; 5:601-608. [PMID: 33660765 PMCID: PMC8726058 DOI: 10.1042/etls20200331] [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: 12/08/2020] [Revised: 02/16/2021] [Accepted: 02/23/2021] [Indexed: 01/04/2023]
Abstract
Affinity maturation is a key technique in protein engineering which is used to improve affinity and binding interactions in vitro, a process often required to fulfil the therapeutic potential of antibodies. There are many available display technologies and maturation methods developed over the years, which have been instrumental in the production of therapeutic antibodies. However, due to the inherent limitations in display capacity of these technologies, accommodation of expansive and complex library builds is still a challenge. In this article, we discuss our recent efforts in the affinity maturation of a difficult antibody lineage using an unbiased approach, which sought to explore a larger sequence space through the application of DNA recombination and shuffling techniques across the entire antibody region and selections using ribosome display. We also highlight the key features of several display technologies and diversification methods, and discuss the strategies devised by different groups in response to different challenges. Particular attention is drawn to examples which are aimed at the expansion of sequence, structural or experimental diversity through different means and approaches. Here, we provide our perspectives on these methodologies and the considerations involved in the design of effective strategies for the directed evolution of antibodies.
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Vajda S, Porter KA, Kozakov D. Progress toward improved understanding of antibody maturation. Curr Opin Struct Biol 2021; 67:226-231. [PMID: 33610066 DOI: 10.1016/j.sbi.2020.11.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 11/25/2020] [Indexed: 11/16/2022]
Abstract
Upon encountering an antigen, antibodies mature through various rounds of somatic mutations, resulting in higher affinities and specificities to the particular antigen. We review recent progress in four areas of antibody maturation studies. (1) Next-generation and single-cell sequencing have revolutionized the analysis of antibody repertoires by dramatically increasing the sequences available to study the state and evolution of the immune system. Computational methods, including machine learning tools, have been developed for reconstituting antibody clonal lineages and for general repertoire analysis. (2) The availability of X-ray structures, thermodynamic and kinetic data, and molecular dynamics simulations provide information on the biophysical mechanisms responsible for improved affinity. (3) In addition to improved binding to a specific antigen, providing affinity-independent diversity and self/nonself discrimination are fundamental functions of the immune system. Recent studies, including X-ray structures, yield improved understanding of both mechanisms. (4) Results from in vivo maturation help to develop methods of in vitro maturation to improve antibody properties for therapeutic applications, frequently combining computational and experimental approaches.
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Affiliation(s)
- Sandor Vajda
- Department of Biomedical Engineering, Boston University, Boston MA 02215, United States.
| | - Kathryn A Porter
- Department of Biomedical Engineering, Boston University, Boston MA 02215, United States
| | - Dima Kozakov
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook NY 11794, United States; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook NY, 11790, United States.
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Fernández-Quintero ML, Kroell KB, Heiss MC, Loeffler JR, Quoika PK, Waibl F, Bujotzek A, Moessner E, Georges G, Liedl KR. Surprisingly Fast Interface and Elbow Angle Dynamics of Antigen-Binding Fragments. Front Mol Biosci 2020; 7:609088. [PMID: 33330636 PMCID: PMC7732698 DOI: 10.3389/fmolb.2020.609088] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 10/21/2020] [Indexed: 12/14/2022] Open
Abstract
Fab consist of a heavy and light chain and can be subdivided into a variable (V H and V L ) and a constant region (C H 1 and C L ). The variable region contains the complementarity-determining region (CDR), which is formed by six hypervariable loops, shaping the antigen binding site, the paratope. Apart from the CDR loops, both the elbow angle and the relative interdomain orientations of the V H -V L and the C H 1-C L domains influence the shape of the paratope. Thus, characterization of the interface and elbow angle dynamics is essential to antigen specificity. We studied nine antigen-binding fragments (Fab) to investigate the influence of affinity maturation, antibody humanization, and different light-chain types on the interface and elbow angle dynamics. While the CDR loops reveal conformational transitions in the micro-to-millisecond timescale, both the interface and elbow angle dynamics occur on the low nanosecond timescale. Upon affinity maturation, we observe a substantial rigidification of the V H and V L interdomain and elbow-angle flexibility, reflected in a narrower and more distinct distribution. Antibody humanization describes the process of grafting non-human CDR loops onto a representative human framework. As the antibody framework changes upon humanization, we investigated if both the interface and the elbow angle distributions are changed or shifted. The results clearly showed a substantial shift in the relative V H -V L distributions upon antibody humanization, indicating that different frameworks favor distinct interface orientations. Additionally, the interface and elbow angle dynamics of five antibody fragments with different light-chain types are included, because of their strong differences in elbow angles. For these five examples, we clearly see a high variability and flexibility in both interface and elbow angle dynamics, highlighting the fact that Fab interface orientations and elbow angles interconvert between each other in the low nanosecond timescale. Understanding how the relative interdomain orientations and the elbow angle influence antigen specificity, affinity, and stability has broad implications in the field of antibody modeling and engineering.
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Affiliation(s)
- Monica L. Fernández-Quintero
- Center for Molecular Biosciences Innsbruck (CMBI), Institute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria
| | - Katharina B. Kroell
- Center for Molecular Biosciences Innsbruck (CMBI), Institute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria
| | - Martin C. Heiss
- Center for Molecular Biosciences Innsbruck (CMBI), Institute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria
| | - Johannes R. Loeffler
- Center for Molecular Biosciences Innsbruck (CMBI), Institute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria
| | - Patrick K. Quoika
- Center for Molecular Biosciences Innsbruck (CMBI), Institute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria
| | - Franz Waibl
- Center for Molecular Biosciences Innsbruck (CMBI), Institute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria
| | - Alexander Bujotzek
- Roche Pharma Research and Early Development, Large Molecule Research, Roche Innovation Center Munich, Penzberg, Germany
| | - Ekkehard Moessner
- Roche Pharma Research and Early Development, Large Molecular Research, Roche Innovation Center Zurich, Schlieren, Switzerland
| | - Guy Georges
- Roche Pharma Research and Early Development, Large Molecule Research, Roche Innovation Center Munich, Penzberg, Germany
| | - Klaus R. Liedl
- Center for Molecular Biosciences Innsbruck (CMBI), Institute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria
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Fernández-Quintero ML, Loeffler JR, Bacher LM, Waibl F, Seidler CA, Liedl KR. Local and Global Rigidification Upon Antibody Affinity Maturation. Front Mol Biosci 2020; 7:182. [PMID: 32850970 PMCID: PMC7426445 DOI: 10.3389/fmolb.2020.00182] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 07/13/2020] [Indexed: 01/03/2023] Open
Abstract
During the affinity maturation process the immune system produces antibodies with higher specificity and activity through various rounds of somatic hypermutations in response to an antigen. Elucidating the affinity maturation process is fundamental in understanding immunity and in the development of biotherapeutics. Therefore, we analyzed 10 pairs of antibody fragments differing in their specificity and in distinct stages of affinity maturation using metadynamics in combination with molecular dynamics (MD) simulations. We investigated differences in flexibility of the CDR-H3 loop and global changes in plasticity upon affinity maturation. Among all antibody pairs we observed a substantial rigidification in flexibility and plasticity reflected in a substantial decrease of conformational diversity. To visualize and characterize these findings we used Markov-states models to reconstruct the kinetics of CDR-H3 loop dynamics and for the first time provide a method to define and localize surface plasticity upon affinity maturation.
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Affiliation(s)
- Monica L Fernández-Quintero
- Center for Molecular Biosciences Innsbruck, Institute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria
| | - Johannes R Loeffler
- Center for Molecular Biosciences Innsbruck, Institute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria
| | - Lisa M Bacher
- Center for Molecular Biosciences Innsbruck, Institute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria
| | - Franz Waibl
- Center for Molecular Biosciences Innsbruck, Institute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria
| | - Clarissa A Seidler
- Center for Molecular Biosciences Innsbruck, Institute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria
| | - Klaus R Liedl
- Center for Molecular Biosciences Innsbruck, Institute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria
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Chan DTY, Jenkinson L, Haynes SW, Austin M, Diamandakis A, Burschowsky D, Seewooruthun C, Addyman A, Fiedler S, Ryman S, Whitehouse J, Slater LH, Gowans E, Shibata Y, Barnard M, Wilkinson RW, Vaughan TJ, Holt SV, Cerundolo V, Carr MD, Groves MAT. Extensive sequence and structural evolution of Arginase 2 inhibitory antibodies enabled by an unbiased approach to affinity maturation. Proc Natl Acad Sci U S A 2020; 117:16949-16960. [PMID: 32616569 PMCID: PMC7382286 DOI: 10.1073/pnas.1919565117] [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] [Indexed: 11/18/2022] Open
Abstract
Affinity maturation is a powerful technique in antibody engineering for the in vitro evolution of antigen binding interactions. Key to the success of this process is the expansion of sequence and combinatorial diversity to increase the structural repertoire from which superior binding variants may be selected. However, conventional strategies are often restrictive and only focus on small regions of the antibody at a time. In this study, we used a method that combined antibody chain shuffling and a staggered-extension process to produce unbiased libraries, which recombined beneficial mutations from all six complementarity-determining regions (CDRs) in the affinity maturation of an inhibitory antibody to Arginase 2 (ARG2). We made use of the vast display capacity of ribosome display to accommodate the sequence space required for the diverse library builds. Further diversity was introduced through pool maturation to optimize seven leads of interest simultaneously. This resulted in antibodies with substantial improvements in binding properties and inhibition potency. The extensive sequence changes resulting from this approach were translated into striking structural changes for parent and affinity-matured antibodies bound to ARG2, with a large reorientation of the binding paratope facilitating increases in contact surface and shape complementarity to the antigen. The considerable gains in therapeutic properties seen from extensive sequence and structural evolution of the parent ARG2 inhibitory antibody clearly illustrate the advantages of the unbiased approach developed, which was key to the identification of high-affinity antibodies with the desired inhibitory potency and specificity.
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Affiliation(s)
- Denice T Y Chan
- Cancer Research UK-AstraZeneca Antibody Alliance Laboratory, CB21 6GP Cambridge, United Kingdom
| | - Lesley Jenkinson
- Cancer Research UK-AstraZeneca Antibody Alliance Laboratory, CB21 6GP Cambridge, United Kingdom
| | - Stuart W Haynes
- Cancer Research UK-AstraZeneca Antibody Alliance Laboratory, CB21 6GP Cambridge, United Kingdom
| | - Mark Austin
- Cancer Research UK-AstraZeneca Antibody Alliance Laboratory, CB21 6GP Cambridge, United Kingdom
- Antibody Discovery & Protein Engineering, BioPharmaceuticals Research & Development, AstraZeneca, CB21 6GH Cambridge, United Kingdom
| | - Agata Diamandakis
- Cancer Research UK-AstraZeneca Antibody Alliance Laboratory, CB21 6GP Cambridge, United Kingdom
| | - Daniel Burschowsky
- Leicester Institute of Structural and Chemical Biology, University of Leicester, LE1 7HB Leicester, United Kingdom
- Department of Molecular and Cell Biology, University of Leicester, LE1 7HB Leicester, United Kingdom
| | - Chitra Seewooruthun
- Leicester Institute of Structural and Chemical Biology, University of Leicester, LE1 7HB Leicester, United Kingdom
- Department of Molecular and Cell Biology, University of Leicester, LE1 7HB Leicester, United Kingdom
| | - Alexandra Addyman
- Cancer Research UK-AstraZeneca Antibody Alliance Laboratory, CB21 6GP Cambridge, United Kingdom
| | - Sebastian Fiedler
- Cancer Research UK-AstraZeneca Antibody Alliance Laboratory, CB21 6GP Cambridge, United Kingdom
| | - Stephanie Ryman
- Cancer Research UK-AstraZeneca Antibody Alliance Laboratory, CB21 6GP Cambridge, United Kingdom
| | - Jessica Whitehouse
- Cancer Research UK-AstraZeneca Antibody Alliance Laboratory, CB21 6GP Cambridge, United Kingdom
| | - Louise H Slater
- Cancer Research UK-AstraZeneca Antibody Alliance Laboratory, CB21 6GP Cambridge, United Kingdom
| | - Ellen Gowans
- Cancer Research UK-AstraZeneca Antibody Alliance Laboratory, CB21 6GP Cambridge, United Kingdom
| | - Yoko Shibata
- Cancer Research UK-AstraZeneca Antibody Alliance Laboratory, CB21 6GP Cambridge, United Kingdom
| | - Michelle Barnard
- Cancer Research UK-AstraZeneca Antibody Alliance Laboratory, CB21 6GP Cambridge, United Kingdom
| | - Robert W Wilkinson
- Early Oncology Discovery, Oncology Research & Development, AstraZeneca, CB21 6GH Cambridge, United Kingdom
| | - Tristan J Vaughan
- Antibody Discovery & Protein Engineering, BioPharmaceuticals Research & Development, AstraZeneca, CB21 6GH Cambridge, United Kingdom
| | - Sarah V Holt
- Cancer Research UK-AstraZeneca Antibody Alliance Laboratory, CB21 6GP Cambridge, United Kingdom
| | - Vincenzo Cerundolo
- Medical Research Council Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, OX3 9DS Oxford, United Kingdom
| | - Mark D Carr
- Leicester Institute of Structural and Chemical Biology, University of Leicester, LE1 7HB Leicester, United Kingdom;
- Department of Molecular and Cell Biology, University of Leicester, LE1 7HB Leicester, United Kingdom
| | - Maria A T Groves
- Cancer Research UK-AstraZeneca Antibody Alliance Laboratory, CB21 6GP Cambridge, United Kingdom;
- Antibody Discovery & Protein Engineering, BioPharmaceuticals Research & Development, AstraZeneca, CB21 6GH Cambridge, United Kingdom
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Zhou JO, Zaidi HA, Ton T, Fera D. The Effects of Framework Mutations at the Variable Domain Interface on Antibody Affinity Maturation in an HIV-1 Broadly Neutralizing Antibody Lineage. Front Immunol 2020; 11:1529. [PMID: 32765530 PMCID: PMC7379371 DOI: 10.3389/fimmu.2020.01529] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 06/10/2020] [Indexed: 11/30/2022] Open
Abstract
Understanding affinity maturation of antibodies that can target many variants of HIV-1 is important for vaccine development. While the antigen-binding site of antibodies is known to mutate throughout the co-evolution of antibodies and viruses in infected individuals, the roles of the mutations in the antibody framework region are not well understood. Throughout affinity maturation, the CH103 broadly neutralizing antibody lineage, from an individual designated CH505, altered the orientation of one of its antibody variable domains. The change in orientation was a response to insertions in the variable loop 5 (V5) of the HIV envelope. In this study, we generated CH103 lineage antibody variants in which residues in the variable domain interface were mutated, and measured the binding to both autologous and heterologous HIV-1 envelopes. Our data show that very few mutations in an early intermediate antibody of the lineage can improve binding toward both autologous and heterologous HIV-1 envelopes. We also crystallized an antibody mutant to show that framework mutations alone can result in a shift in relative orientations of the variable domains. Taken together, our results demonstrate the functional importance of residues located outside the antigen-binding site in affinity maturation.
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Affiliation(s)
- Jeffrey O Zhou
- Department of Chemistry and Biochemistry, Swarthmore College, Swarthmore, PA, United States
| | - Hussain A Zaidi
- Department of Chemistry and Biochemistry, Swarthmore College, Swarthmore, PA, United States
| | - Therese Ton
- Department of Biology, Swarthmore College, Swarthmore, PA, United States
| | - Daniela Fera
- Department of Chemistry and Biochemistry, Swarthmore College, Swarthmore, PA, United States
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Pittala S, Bailey-Kellogg C. Learning context-aware structural representations to predict antigen and antibody binding interfaces. Bioinformatics 2020; 36:3996-4003. [PMID: 32321157 PMCID: PMC7332568 DOI: 10.1093/bioinformatics/btaa263] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2019] [Revised: 04/10/2020] [Accepted: 04/15/2020] [Indexed: 01/19/2023] Open
Abstract
MOTIVATION Understanding how antibodies specifically interact with their antigens can enable better drug and vaccine design, as well as provide insights into natural immunity. Experimental structural characterization can detail the 'ground truth' of antibody-antigen interactions, but computational methods are required to efficiently scale to large-scale studies. To increase prediction accuracy as well as to provide a means to gain new biological insights into these interactions, we have developed a unified deep learning-based framework to predict binding interfaces on both antibodies and antigens. RESULTS Our framework leverages three key aspects of antibody-antigen interactions to learn predictive structural representations: (i) since interfaces are formed from multiple residues in spatial proximity, we employ graph convolutions to aggregate properties across local regions in a protein; (ii) since interactions are specific between antibody-antigen pairs, we employ an attention layer to explicitly encode the context of the partner; (iii) since more data are available for general protein-protein interactions, we employ transfer learning to leverage this data as a prior for the specific case of antibody-antigen interactions. We show that this single framework achieves state-of-the-art performance at predicting binding interfaces on both antibodies and antigens, and that each of its three aspects drives additional improvement in the performance. We further show that the attention layer not only improves performance, but also provides a biologically interpretable perspective into the mode of interaction. AVAILABILITY AND IMPLEMENTATION The source code is freely available on github at https://github.com/vamships/PECAN.git.
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Affiliation(s)
- Srivamshi Pittala
- Department of Computer Science, Dartmouth College, Hanover, NH 03755, USA
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Occupation of a thermoresistant-scaffold (αRep) at SP1-NC cleavage site disturbs the function of HIV-1 protease. Biosci Rep 2020; 40:225239. [PMID: 32519747 PMCID: PMC7313444 DOI: 10.1042/bsr20201131] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 06/06/2020] [Accepted: 06/09/2020] [Indexed: 11/25/2022] Open
Abstract
HIV-1 nucleocapsid (NC) becomes an attractive target for the development of novel anti-HIV-1 agents. Discovering of non-antibody scaffolds that disrupt the function of NC will be a potential aspect for disturbing viral maturation process. Correspondingly, we explored the specific binding site of the thermoresistant-scaffold protein, αRep9A8 which formerly demonstrated the inhibitory effect on HIV-1 replication. The portion of Gag, CA21-SP1-NC has been used as a template for designing nine overlapping peptides (P4–P12). The P9 peptide showed the strongest binding activity followed by P8 and P12 respectively. The amino acid sequences on those peptides resemble the N-terminal domain of the NC proximity to the SP1-NC initial cleavage site and across the conserved CCHC zinc finger 1 (ZF1) of NC. The interaction KD between αRep9A8 with its target was 224.9 ± 57.4 nM. Consequently, αRep9A8 demonstrated the interference of the HIV-1 protease function by hindering a protease cleavage site. The released NC product from CA21-SP1-NC was diminished. The present study provided an additional information of αRep9A8 function in interfering of viral maturation processes resulting in the decremental efficiency of viral infectivity.
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Sorgi S, Bonezi V, Dominguez MR, Gimenez AM, Dobrescu I, Boscardin S, Nakaya HI, Bargieri DY, Soares IS, Silveira ELV. São Paulo School of Advanced Sciences on Vaccines: an overview. J Venom Anim Toxins Incl Trop Dis 2020; 26:e20190061. [PMID: 32362926 PMCID: PMC7187638 DOI: 10.1590/1678-9199-jvatitd-2019-0061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Accepted: 02/21/2020] [Indexed: 01/08/2023] Open
Abstract
Two years ago, we held an exciting event entitled the São Paulo School of Advanced Sciences on Vaccines (SPSASV). Sixty-eight Ph.D. students, postdoctoral fellows and independent researchers from 37 different countries met at the Mendes Plaza Hotel located in the city of Santos, SP - Brazil to discuss the challenges and the new frontiers of vaccinology. The SPSASV provided a critical and comprehensive view of vaccine research from basics to the current state-of-the-art techniques performed worldwide. For 10 days, we discussed all the aspects of vaccine development in 36 lectures, 53 oral presentations and 2 poster sessions. At the end of the course, participants were further encouraged to present a model of a grant proposal related to vaccine development against individual pathogens. Among the targeted pathogens were viruses (Chikungunya, HIV, RSV, and Influenza), bacteria (Mycobacterium tuberculosis and Streptococcus pyogenes), parasites (Plasmodium falciparum or Plasmodium vivax), and the worm Strongyloides stercoralis. This report highlights some of the knowledge shared at the SPSASV.
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Affiliation(s)
- Sara Sorgi
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil
- Dipartimento di Biotecnologie Mediche, Universita’ degli Studi di Siena, Siena, Italia
| | - Vivian Bonezi
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil
| | - Mariana R. Dominguez
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil
| | - Alba Marina Gimenez
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil
| | - Irina Dobrescu
- Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil
| | - Silvia Boscardin
- Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil
| | - Helder I. Nakaya
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil
| | - Daniel Y. Bargieri
- Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil
| | - Irene S. Soares
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil
| | - Eduardo L. V. Silveira
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil
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Fernández-Quintero ML, Seidler CA, Liedl KR. T-Cell Receptor Variable β Domains Rigidify During Affinity Maturation. Sci Rep 2020; 10:4472. [PMID: 32161287 PMCID: PMC7066139 DOI: 10.1038/s41598-020-61433-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 01/30/2020] [Indexed: 11/17/2022] Open
Abstract
We investigated T-cell receptor variable β chains binding to the superantigen staphylococcal enterotoxin C3 (SEC 3) with structure information in different stages of affinity maturation. Metadynamics in combination with molecular dynamics simulations allow to access the micro-to-millisecond timescale and reveal a strong effect of energetically significant mutations on the flexibility of the antigen-binding site. The observed changes in dynamics of the complementarity determining region (CDR) loops, especially the CDR 2, and HV 4 loop on this specific pathway of affinity maturation are reflected in their structural diversity, thermodynamics of conformations and kinetics of structural transitions. In addition, this affinity maturation pathway follows the concept of conformational selection, because even without the presence of the antigen the binding competent state is present in this pre-existing ensemble of conformations. In all stages of this affinity maturation process we observe a link between specificity and reduced flexibility.
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Affiliation(s)
- Monica L Fernández-Quintero
- Institute of General, Inorganic and Theoretical Chemistry, and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innrain 80-82, A-6020, Innsbruck, Austria
| | - Clarissa A Seidler
- Institute of General, Inorganic and Theoretical Chemistry, and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innrain 80-82, A-6020, Innsbruck, Austria
| | - Klaus R Liedl
- Institute of General, Inorganic and Theoretical Chemistry, and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innrain 80-82, A-6020, Innsbruck, Austria.
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Fan P, Han B, Hu H, Wei Q, Zhang X, Meng L, Nie J, Tang X, Tian X, Zhang L, Wang L, Li J. Proteome of thymus and spleen reveals that 10-hydroxydec-2-enoic acid could enhance immunity in mice. Expert Opin Ther Targets 2020; 24:267-279. [PMID: 32077781 DOI: 10.1080/14728222.2020.1733529] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Objectives: 10-hydroxydec-2-enoic acid (10-HDA), a unique component of royal jelly existing only in nature, has the potential to promote human health. Knowledge of 10-HDA in regulating immuno-activity, however, is lacking. The aim of our work is to gain a novel understanding of 10-HDA in promoting immunity.Methods: Immuno-suppressed mice were generated by cyclophosphamide injection, After 10-HDA supplementation to the mice to rescue their immunity, the proteomes of the thymus and spleen were analyzed.Results: The weight of the body, thymus, and spleen in cyclophosphamide-induced mice recovered by 10-HDA indicate its potential role in immuno-organ protection. In the thymus, the enhanced activity of pathways associated with DNA/RNA/protein activities may be critical for T-lymphocyte proliferation/differentiation, and cytotoxicity. In the spleen, the induced pathways involved in DNA/RNA/protein activities, and cell proliferative stimulation suggest their vital role in B-lymphocyte affinity maturation, antigen presentation, and macrophage activity. The up-regulated proteins highly connected in networks modulated by 10-HDA indicate that the mice may evolve tactics to respond to immuno-organ impairment by activating critical physiological processes.Conclusion: Our data constitute a proof-of-concept that 10-HDA is a potential agent to improve immunity in the thymus and spleen and offer a new venue for applying natural products to the therapy for hypoimmunity.
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Affiliation(s)
- Pei Fan
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, PR China.,College of Biological Engineering, Henan University of Technology, Zhengzhou, PR China
| | - Bin Han
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, PR China
| | - Han Hu
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, PR China
| | - Qiaohong Wei
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, PR China
| | - Xufeng Zhang
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, PR China
| | - Lifeng Meng
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, PR China
| | - Jing Nie
- Department of Technology, Hunan SJA Laboratory Animal Co., Ltd, Changsha, PR China
| | - Xiaofeng Tang
- Department of Technology, Hunan SJA Laboratory Animal Co., Ltd, Changsha, PR China
| | - Xinyue Tian
- College of Biological Engineering, Henan University of Technology, Zhengzhou, PR China
| | - Lu Zhang
- College of Biological Engineering, Henan University of Technology, Zhengzhou, PR China
| | - Liping Wang
- Department of Research & Development, Henan Jianda Bio Sci. & Tech. Co., Ltd, Zhengzhou, PR China
| | - Jianke Li
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, PR China
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Abstract
Geographically overlapping transmission of Chikungunya virus (CHIKV) and Mayaro virus (MAYV) in Latin America challenges serologic diagnostics and epidemiologic surveillance, as antibodies against the antigenically related viruses can be cross-reactive, potentially causing false-positive test results. We examined whether widely used ELISAs and plaque reduction neutralization testing allow specific antibody detection in the scenario of CHIKV and MAYV coemergence. For this purpose, we used 37 patient-derived MAYV-specific sera from Peru and 64 patient-derived CHIKV-specific sera from Brazil, including longitudinally collected samples. Extensive testing of those samples revealed strong antibody cross-reactivity in ELISAs, particularly for IgM, which is commonly used for patient diagnostics. Cross-neutralization was also observed, albeit at lower frequencies. Parallel testing for both viruses and comparison of ELISA reactivities and neutralizing antibody titers significantly increased diagnostic specificity. Our data provide a convenient and practicable solution to ensure robust differentiation of CHIKV- and MAYV-specific antibodies. Since 2013, the arthropod-borne Chikungunya virus (CHIKV) has cocirculated with the autochthonous Mayaro virus (MAYV) in Latin America. Both belong to the same alphavirus serocomplex, termed the Semliki Forest serocomplex. The extent of antibody cross-reactivity due to the antigenic relatedness of CHIKV and MAYV in commonly used serologic tests remains unclear. By testing 64 CHIKV- and 37 MAYV-specific sera from cohort studies conducted in Peru and Brazil, we demonstrate about 50% false-positive test results using commercially available enzyme-linked immunosorbent assays (ELISAs) based on structural antigens. In contrast, combining ELISAs for CHIKV and MAYV significantly increased positive predictive values (PPV) among all cohorts from 35.3% to 88.2% for IgM and from 61.3% to 96.8% for IgG (P < 0.0001). Testing of longitudinally collected CHIKV-specific patient sera indicated that ELISA specificity is highest for IgM testing at 5 to 9 days post-onset of symptoms (dpo) and for IgG testing at 10 to 14 dpo. IgG cross-reactivity in ELISA was asymmetric, occurring in 57.9% of MAYV-specific sera compared to 29.5% of CHIKV-specific sera. Parallel plaque reduction neutralization testing (PRNT) for CHIKV and MAYV increased the PPV from 80.0% to 100% (P = 0.0053). However, labor-intense procedures and delayed seroconversion limit PRNT for patient diagnostics. In sum, individual testing for CHIKV or MAYV only is prone to misclassifications that dramatically impact patient diagnostics and sero-epidemiologic investigation. Parallel ELISAs for both CHIKV and MAYV provide an easy and efficient solution to differentiate CHIKV from MAYV infections. This approach may provide a template globally for settings in which alphavirus coemergence imposes similar problems. IMPORTANCE Geographically overlapping transmission of Chikungunya virus (CHIKV) and Mayaro virus (MAYV) in Latin America challenges serologic diagnostics and epidemiologic surveillance, as antibodies against the antigenically related viruses can be cross-reactive, potentially causing false-positive test results. We examined whether widely used ELISAs and plaque reduction neutralization testing allow specific antibody detection in the scenario of CHIKV and MAYV coemergence. For this purpose, we used 37 patient-derived MAYV-specific sera from Peru and 64 patient-derived CHIKV-specific sera from Brazil, including longitudinally collected samples. Extensive testing of those samples revealed strong antibody cross-reactivity in ELISAs, particularly for IgM, which is commonly used for patient diagnostics. Cross-neutralization was also observed, albeit at lower frequencies. Parallel testing for both viruses and comparison of ELISA reactivities and neutralizing antibody titers significantly increased diagnostic specificity. Our data provide a convenient and practicable solution to ensure robust differentiation of CHIKV- and MAYV-specific antibodies.
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43
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Gowthaman U, Chen JS, Eisenbarth SC. Regulation of IgE by T follicular helper cells. J Leukoc Biol 2020; 107:409-418. [PMID: 31965637 DOI: 10.1002/jlb.3ri1219-425r] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 12/02/2019] [Accepted: 12/09/2019] [Indexed: 12/24/2022] Open
Abstract
Allergies to food and environmental antigens have steeply grown to epidemic proportions. IgE antibodies are key mediators of allergic disease, including life-threatening anaphylaxis. There is now compelling evidence that one of the hallmarks of anaphylaxis-inducing IgE molecules is their high affinity for allergen, and the cellular pathway to high-affinity IgE is typically through sequential switching of IgG B cells. Further, in contrast to the previously held paradigm that a subset of CD4+ T cells called Th2 cells promotes IgE responses, recent studies suggest that T follicular helper cells are crucial for inducing anaphylactic IgE. Here we discuss recent studies that have enabled us to understand the nature, induction, and regulation of this enigmatic antibody isotype in allergic sensitization.
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Affiliation(s)
- Uthaman Gowthaman
- Department of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.,Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Jennifer S Chen
- Department of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.,Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Stephanie C Eisenbarth
- Department of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.,Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut, USA
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44
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Peters R, Stevenson M. Immunological detection of Zika virus: A summary in the context of general viral diagnostics. J Microbiol Methods 2020. [DOI: 10.1016/bs.mim.2019.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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45
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Wong WK, Leem J, Deane CM. Comparative Analysis of the CDR Loops of Antigen Receptors. Front Immunol 2019; 10:2454. [PMID: 31681328 PMCID: PMC6803477 DOI: 10.3389/fimmu.2019.02454] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 10/01/2019] [Indexed: 12/24/2022] Open
Abstract
The adaptive immune system uses two main types of antigen receptors: T-cell receptors (TCRs) and antibodies. While both proteins share a globally similar β-sandwich architecture, TCRs are specialized to recognize peptide antigens in the binding groove of the major histocompatibility complex, while antibodies can bind an almost infinite range of molecules. For both proteins, the main determinants of target recognition are the complementarity-determining region (CDR) loops. Five of the six CDRs adopt a limited number of backbone conformations, known as the "canonical classes"; the remaining CDR (β3in TCRs and H3 in antibodies) is more structurally diverse. In this paper, we first update the definition of canonical forms in TCRs, build an auto-updating sequence-based prediction tool (available at http://opig.stats.ox.ac.uk/resources) and demonstrate its application on large scale sequencing studies. Given the global similarity of TCRs and antibodies, we then examine the structural similarity of their CDRs. We find that TCR and antibody CDRs tend to have different length distributions, and where they have similar lengths, they mostly occupy distinct structural spaces. In the rare cases where we found structural similarity, the underlying sequence patterns for the TCR and antibody version are different. Finally, where multiple structures have been solved for the same CDR sequence, the structural variability in TCR loops is higher than that in antibodies, suggesting TCR CDRs are more flexible. These structural differences between TCR and antibody CDRs may be important to their different biological functions.
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46
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Differences in Antibodies Against Blood Group, HBV, and Salmonella Regarding Protein Content, Activity, and Affinity in Black and Yellow Healthy Individuals. Jundishapur J Microbiol 2019. [DOI: 10.5812/jjm.94687] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
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47
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Tabasinezhad M, Talebkhan Y, Wenzel W, Rahimi H, Omidinia E, Mahboudi F. Trends in therapeutic antibody affinity maturation: From in-vitro towards next-generation sequencing approaches. Immunol Lett 2019; 212:106-113. [PMID: 31247224 DOI: 10.1016/j.imlet.2019.06.009] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Revised: 06/08/2019] [Accepted: 06/24/2019] [Indexed: 12/12/2022]
Abstract
Current advances in antibody engineering driving the strongest growth area in biotherapeutic agents development. Affinity improvement that is mainly important for biological activity and clinical efficacy of therapeutic antibodies, has still remained a challenging task. In the human body, during a course of immune response affinity maturation increase antibody activity by several rounds of somatic hypermutation and clonal selection in the germinal center. The final outputs are antibodies representing higher affinity and specificity against a particular antigen. In the realm of biotechnology, exploring of mutations which improve antibody affinity while preserving its specificity and stability is an extremely time-consuming and laborious process. Recent advances in computational algorithms and DNA sequencing technologies help researchers to redesign antibody structure to achieve desired properties such as improved binding affinity. In this review, we briefly described the principle of affinity maturation and different corresponding in vitro techniques. Also, we recapitulated the most recent advancements in the field of antibody affinity maturation including computational approaches and next-generation sequencing (NGS).
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Affiliation(s)
- Maryam Tabasinezhad
- Biotechnology Research Centre, Pasteur Institute of Iran, Tehran, Iran; Institute of Nanotechnology, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Yeganeh Talebkhan
- Biotechnology Research Centre, Pasteur Institute of Iran, Tehran, Iran
| | - Wolfgang Wenzel
- Institute of Nanotechnology, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Hamzeh Rahimi
- Molecular Medicine Department, Pasteur Institute of Iran, Tehran, Iran
| | - Eskandar Omidinia
- Genetics & Metabolism Research Centre, Pasteur Institute of Iran, Tehran, Iran.
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48
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Henderson R, Watts BE, Ergin HN, Anasti K, Parks R, Xia SM, Trama A, Liao HX, Saunders KO, Bonsignori M, Wiehe K, Haynes BF, Alam SM. Selection of immunoglobulin elbow region mutations impacts interdomain conformational flexibility in HIV-1 broadly neutralizing antibodies. Nat Commun 2019; 10:654. [PMID: 30737386 PMCID: PMC6368608 DOI: 10.1038/s41467-019-08415-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Accepted: 01/04/2019] [Indexed: 01/07/2023] Open
Abstract
Somatic mutations within antibody variable and framework regions (FWR) can alter thermostability and structural flexibility, but their impact on functional potency is unclear. Here we study thermostability and use molecular dynamics (MD) simulations to assess the role of FWR mutations during maturation of HIV-1 broadly neutralizing antibodies (bnAbs). The tested bnAbs show lower thermostability than their unmutated ancestor antibodies. FWR mutations in the Fab elbow region are frequently observed in HIV-1 bnAbs and MD simulations show that such FWR mutations alter interdomain flexibility in two HIV-1 bnAbs. In a CD4-binding site lineage, reversion mutations result in a loss of neutralization potency in an early intermediate and affinity-matured bnAb against autologous and heterologous Tier-2 viruses, respectively. Elbow region reversion mutations in a glycan-V3 bnAb modestly reduces potency against an autologous virus isolate. Thus, selection of mutations in the Fab elbow region impacts interdomain conformational flexibility and paratope plasticity during bnAb development.
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Affiliation(s)
- Rory Henderson
- Department of Medicine, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Brian E Watts
- Department of Medicine, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Hieu N Ergin
- Department of Medicine, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Kara Anasti
- Department of Medicine, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Robert Parks
- Department of Medicine, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Shi-Mao Xia
- Department of Medicine, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Ashley Trama
- Department of Medicine, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Hua-Xin Liao
- Department of Medicine, Duke University School of Medicine, Durham, NC, 27710, USA
- College of Life Science and Technology, Jinan University, Guangzhou, 510632, China
| | - Kevin O Saunders
- Department of Medicine, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Mattia Bonsignori
- Department of Medicine, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Kevin Wiehe
- Department of Medicine, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Barton F Haynes
- Department of Medicine, Duke University School of Medicine, Durham, NC, 27710, USA
| | - S Munir Alam
- Department of Medicine, Duke University School of Medicine, Durham, NC, 27710, USA.
- Department of Pathology, Duke University School of Medicine, Durham, NC, 27710, USA.
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49
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Deka RK, Liu WZ, Tso SC, Norgard MV, Brautigam CA. Biophysical insights into a highly selective l-arginine-binding lipoprotein of a pathogenic treponeme. Protein Sci 2018; 27:2037-2050. [PMID: 30242931 DOI: 10.1002/pro.3510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Revised: 09/10/2018] [Accepted: 09/11/2018] [Indexed: 11/11/2022]
Abstract
Biophysical and biochemical studies on the lipoproteins and other periplasmic proteins from the spirochetal species Treponema pallidum have yielded numerous insights into the functioning of the organism's peculiar membrane organization, its nutritional requirements, and intermediary metabolism. However, not all T. pallidum proteins have proven to be amenable to biophysical studies. One such recalcitrant protein is Tp0309, a putative polar-amino-acid-binding protein of an ABC transporter system. To gain further information on its possible function, a homolog of the protein from the related species T. vincentii was used as a surrogate. This protein, Tv2483, was crystallized, resulting in the determination of its crystal structure at a resolution of 1.75 Å. The protein has a typical fold for a ligand-binding protein, and a single molecule of l-arginine was bound between its two lobes. Differential scanning fluorimetry and isothermal titration calorimetry experiments confirmed that l-arginine bound to the protein with unusually high selectivity. However, further comparison to Tp0309 showed differences in key amino-acid-binding residues may impart an alternate specificity for the T. pallidum protein.
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Affiliation(s)
- Ranjit K Deka
- Departments of Microbiology, 5323 Harry Hines Blvd., Dallas, Texas, 75390
| | - Wei Z Liu
- Departments of Microbiology, 5323 Harry Hines Blvd., Dallas, Texas, 75390
| | - Shih-Chia Tso
- Departments of Biophysics, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, Texas, 75390
| | - Michael V Norgard
- Departments of Microbiology, 5323 Harry Hines Blvd., Dallas, Texas, 75390
| | - Chad A Brautigam
- Departments of Microbiology, 5323 Harry Hines Blvd., Dallas, Texas, 75390.,Departments of Biophysics, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, Texas, 75390
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50
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Landais E, Moore PL. Development of broadly neutralizing antibodies in HIV-1 infected elite neutralizers. Retrovirology 2018; 15:61. [PMID: 30185183 PMCID: PMC6125991 DOI: 10.1186/s12977-018-0443-0] [Citation(s) in RCA: 68] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Accepted: 08/23/2018] [Indexed: 12/20/2022] Open
Abstract
Broadly neutralizing antibodies (bNAbs), able to prevent viral entry by diverse global viruses, are a major focus of HIV vaccine design, with data from animal studies confirming their ability to prevent HIV infection. However, traditional vaccine approaches have failed to elicit these types of antibodies. During chronic HIV infection, a subset of individuals develops bNAbs, some of which are extremely broad and potent. This review describes the immunological and virological factors leading to the development of bNAbs in such "elite neutralizers". The features, targets and developmental pathways of bNAbs from their precursors have been defined through extraordinarily detailed within-donor studies. These have enabled the identification of epitope-specific commonalities in bNAb precursors, their intermediates and Env escape patterns, providing a template for vaccine discovery. The unusual features of bNAbs, such as high levels of somatic hypermutation, and precursors with unusually short or long antigen-binding loops, present significant challenges in vaccine design. However, the use of new technologies has led to the isolation of more than 200 bNAbs, including some with genetic profiles more representative of the normal immunoglobulin repertoire, suggesting alternate and shorter pathways to breadth. The insights from these studies have been harnessed for the development of optimized immunogens, novel vaccine regimens and improved delivery schedules, which are providing encouraging data that an HIV vaccine may soon be a realistic possibility.
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Affiliation(s)
- Elise Landais
- International AIDS Vaccine Initiative Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA, 92037, USA.,Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, 92037, USA.,International AIDS Vaccine Initiative, New York, NY, 10004, USA
| | - Penny L Moore
- Centre for HIV and STIs, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa. .,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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