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Review
. 2022 May;605(7911):640-652.
doi: 10.1038/s41586-022-04690-5. Epub 2022 Mar 31.

Defining the risk of SARS-CoV-2 variants on immune protection

Marciela M DeGrace #  1   2 Elodie Ghedin #  1   3 Matthew B Frieman #  4 Florian Krammer #  5   6 Alba Grifoni #  7 Arghavan Alisoltani  8 Galit Alter  9 Rama R Amara  10 Ralph S Baric  11   12 Dan H Barouch  13 Jesse D Bloom  14 Louis-Marie Bloyet  15 Gaston Bonenfant  16 Adrianus C M Boon  17 Eli A Boritz  1   2   18 Debbie L Bratt  1   2   19 Traci L Bricker  17 Liliana Brown  1   2 William J Buchser  20 Juan Manuel Carreño  21 Liel Cohen-Lavi  22 Tamarand L Darling  17 Meredith E Davis-Gardner  23 Bethany L Dearlove  24 Han Di  16 Meike Dittmann  25 Nicole A Doria-Rose  1   18 Daniel C Douek  1   18 Christian Drosten  26 Venkata-Viswanadh Edara  23 Ali Ellebedy  27 Thomas P Fabrizio  28 Guido Ferrari  29 Will M Fischer  30 William C Florence  1   2 Ron A M Fouchier  31 John Franks  28 Adolfo García-Sastre  21   32   33   34   35 Adam Godzik  8 Ana Silvia Gonzalez-Reiche  36 Aubree Gordon  37 Bart L Haagmans  31 Peter J Halfmann  38 David D Ho  39 Michael R Holbrook  40 Yaoxing Huang  39 Sarah L James  41 Lukasz Jaroszewski  8 Trushar Jeevan  28 Robert M Johnson  4 Terry C Jones  26   41 Astha Joshi  17 Yoshihiro Kawaoka  38   42   43 Lisa Kercher  28 Marion P G Koopmans  31 Bette Korber  30 Eilay Koren  22   44 Richard A Koup  1   18 Eric B LeGresley  41 Jacob E Lemieux  45 Mariel J Liebeskind  20 Zhuoming Liu  15 Brandi Livingston  28 James P Logue  4 Yang Luo  39 Adrian B McDermott  1   18 Margaret J McElrath  46 Victoria A Meliopoulos  28 Vineet D Menachery  47 David C Montefiori  48 Barbara Mühlemann  26   41 Vincent J Munster  49 Jenny E Munt  11 Manoj S Nair  39 Antonia Netzl  41 Anna M Niewiadomska  50 Sijy O'Dell  1   18 Andrew Pekosz  51 Stanley Perlman  52 Marjorie C Pontelli  15 Barry Rockx  31 Morgane Rolland  24 Paul W Rothlauf  15 Sinai Sacharen  22   44 Richard H Scheuermann  50 Stephen D Schmidt  1   18 Michael Schotsaert  21   35 Stacey Schultz-Cherry  28 Robert A Seder  1   18 Mayya Sedova  8 Alessandro Sette  7   53 Reed S Shabman  1   2 Xiaoying Shen  29 Pei-Yong Shi  54 Maulik Shukla  55   56 Viviana Simon  21   32   33   35 Spencer Stumpf  15 Nancy J Sullivan  1   18 Larissa B Thackray  17 James Theiler  30 Paul G Thomas  57 Sanja Trifkovic  28 Sina Türeli  41 Samuel A Turner  41 Maria A Vakaki  20 Harm van Bakel  36 Laura A VanBlargan  17 Leah R Vincent  1   2 Zachary S Wallace  50   58 Li Wang  16 Maple Wang  39 Pengfei Wang  39 Wei Wang  59 Scott C Weaver  47 Richard J Webby  28 Carol D Weiss  59 David E Wentworth  16 Stuart M Weston  4 Sean P J Whelan  15 Bradley M Whitener  17 Samuel H Wilks  41 Xuping Xie  54 Baoling Ying  17 Hyejin Yoon  30 Bin Zhou  16 Tomer Hertz  60 Derek J Smith  61 Michael S Diamond  62   63   64   65 Diane J Post  66   67 Mehul S Suthar  68
Affiliations
Review

Defining the risk of SARS-CoV-2 variants on immune protection

Marciela M DeGrace et al. Nature. 2022 May.

Abstract

The global emergence of many severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants jeopardizes the protective antiviral immunity induced after infection or vaccination. To address the public health threat caused by the increasing SARS-CoV-2 genomic diversity, the National Institute of Allergy and Infectious Diseases within the National Institutes of Health established the SARS-CoV-2 Assessment of Viral Evolution (SAVE) programme. This effort was designed to provide a real-time risk assessment of SARS-CoV-2 variants that could potentially affect the transmission, virulence, and resistance to infection- and vaccine-induced immunity. The SAVE programme is a critical data-generating component of the US Government SARS-CoV-2 Interagency Group to assess implications of SARS-CoV-2 variants on diagnostics, vaccines and therapeutics, and for communicating public health risk. Here we describe the coordinated approach used to identify and curate data about emerging variants, their impact on immunity and effects on vaccine protection using animal models. We report the development of reagents, methodologies, models and notable findings facilitated by this collaborative approach and identify future challenges. This programme is a template for the response to rapidly evolving pathogens with pandemic potential by monitoring viral evolution in the human population to identify variants that could reduce the effectiveness of countermeasures.

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Conflict of interest statement

Conflicts of Interest:

DHB is a co-inventor on provisional vaccine patents (63/121,482; 63/133,969; 63/135,182), JDB consults for Moderna and Flagship Labs 77 on topics related to viral evolution, and is an inventor on Fred Hutch licensed patents related to viral deep mutational scanning, The Boon laboratory has received unrelated funding support in sponsored research agreements from AI Therapeutics, GreenLight Biosciences Inc., and Nano targeting & Therapy Biopharma Inc. The Boon laboratory has received funding support from AbbVie Inc., for the commercial development of SARS-CoV-2 mAb. A.C.M.B. was a recipient of a licensing agreement with Abbvie Inc., for commercial development of SARS-CoV-2 mAb, M.S.D. is a consultant for Inbios, Vir Biotechnology, Senda Biosciences, and Carnival Corporation, and on the Scientific Advisory Boards of Moderna and Immunome. The Diamond laboratory has received unrelated funding support in sponsored research agreements from Vir Biotechnology, Moderna, and Emergent BioSolutions, The Ellebedy laboratory received funding under sponsored research agreements that are unrelated to the data presented in the current study from Emergent BioSolutions and from AbbVie. A.H.E. has received consulting fees from InBios International, Inc, Fimbrion Therapeutics, Mubadala Investment Company and Goldman Sachs and is the founder of ImmuneBio Consulting, MBF has funding from Novavax which is outside the scope of this research. They had no role in the funded research from the SAVES consortium, the Garcia-Sastre laboratory has received research support from Pfizer, Senhwa Biosciences, Kenall Manufacturing, Avimex, Johnson & Johnson, Dynavax, 7Hills Pharma, Pharmamar, ImmunityBio, Accurius, Nanocomposix, Hexamer, N-fold LLC, Model Medicines and Merck, outside of the reported work. A.G.-S. has consulting agreements for the following companies involving cash and/or stock: Vivaldi Biosciences, Contrafect, 7Hills Pharma, Avimex, Vaxalto, Pagoda, Accurius, Esperovax, Farmak, Applied Biological Laboratories, Pharmamar and Pfizer, outside of the reported work. A.G.-S. is inventor on patents and patent applications on the use of antivirals and vaccines for the treatment and prevention of virus infections and cancer, owned by the Icahn School of Medicine at Mount Sinai, New York, outside of the reported work, Aubree Gordon serves on a scientific advisory board for Janssen, Erasmus MC has a Proprietary IP on MERS, BK is part of provisional patent applications for strategies for next generation SARS-CoV-2 vaccines that address diversity, The Icahn School of Medicine at Mount Sinai has filed patent applications relating to SARS-CoV-2 serological assays which lists Viviana Simon as a co-inventor and NDV-based SARS-CoV-2 vaccines which list Florian Krammer as co-inventor, Mount Sinai has spun out a company, Kantaro, to market serological tests for SARS-CoV-2. Florian Krammer has consulted for Merck and Pfizer (before 2020), and is currently consulting for Pfizer, Seqirus, 3rd Rock Ventures and Avimex. The Krammer laboratory is also collaborating with Pfizer on animal models of SARS-CoV-2, VDM have filed a patent on the reverse genetic system and reporter SARS-CoV-2, DCM receives funding from Moderna to perform blinded assessments of vaccine-elicited neutralizing antibody responses in clinical studies of their COVID-19 vaccines, A.S. is a consultant for Gritstone Bio, Flow Pharma, Arcturus Therapeutics, ImmunoScape, CellCarta, Avalia, Moderna, Fortress and Repertoire., PYS laboratory has received funding support in sponsored research agreements from GSK, Pfizer, Gilead, Novartis, Merck, IGM Biosciences, and Atea Pharmaceuticals. P.Y.S. is a member of the Scientific Advisory Boards of AbImmune and is Founder of FlaviTech, M.S.S serves on the advisory board for Moderna and Ocugen, PGT serves on the scientific advisory board for Immunoscape and Cytoagents and has consulted for Johnson and Johnson. PGT has received travel support and honoraria from Illumina and 10X Genomics. PGT has patents related to viral infection treatment and T cell receptor biology. S.P.J.W. and Z.L. have filed a patent with Washington University for VSV- SARS-CoV-2 mutants to characterize antibody panels. S.P.J.W has received unrelated funding support in sponsored research agreements with Vir Biotechnology, AbbVie, and sAB therapeutics. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the US Centers for Disease Control and Prevention. Use of trade names is for identification only and does not imply endorsement by the US Centers for Disease Control and Prevention or the US Department of Health and Human Services.

Figures

Figure 1.
Figure 1.. Overview of the SAVE program.
The SAVE program is divided into three working groups to provide real-time risk assessment of SARS-CoV-2 variants on infection and vaccine-induced immunity. The Early Detection and Analysis group curates and prioritizes emerging SARS-CoV-2 variants. The In Vitro group evaluates the impact of SARS-CoV-2 variants on humoral and cell-mediated immune responses. The In Vivo group uses animal models to test vaccine efficacy, transmission, and define immune mechanisms/correlates of protection. These data are fed into the SARS-CoV-2 Interagency Group (SIG), which coordinates between different U.S. government agencies to assess the impact of variants on critical SARS-CoV-2 countermeasures, including vaccines, therapeutics, and diagnostics. This iterative approach allows for information flow between the SAVE program and the SIG to continue prioritizing and testing SARS-CoV-2 variants. Created in part with BioRender.com
Figure 2.
Figure 2.. Prioritization of variants by the Early Detection and Analysis group.
(a) The trajectory of SARS-CoV-2 variant sequence prevalence over a one-year period, Jan. 01, 2021 to Dec 31, 2021, tracking frequencies of weekly counts based on PANGO lineage designations. The data in the graphs was based on the 4.8 million SARS-CoV-2 sequences sampled in 2021 and made available through the GISAID Initiative. Updated graphs can be found at cov.lanl.gov (the tracking tool is called Embers). Top. A global summary and status on five continents is provided. Europe and North America remain the most highly sampled regions of the world, biasing the global sampling. (b) Tangle plots for comparative prioritization of circulating variants across subgroups. The list of variants to prioritize is collectively built by the whole group and prioritized by individual teams to arrive at a consensus list. Each column graph refers to the prioritization order made by each sub-team for circulating variants in December 2021 (top-highest, bottom- lowest priority): A. Cambridge University, B. LANL; C. ISMMS; D. JCVI/BV-BRC; E. UCR SOM; F. Broad Institute; G. WRAIR. The final consensus ranking of the 43 variants is produced by ordering the lineages by their mean rank across the different teams, who also have the option to defer from ranking a lineage, or to assign multiple lineages a tied ranking, and after discussion with the group to determine priority categories. The dashed arrow indicates the order of priority, top being highest priority variants for analysis, bottom means lowest priority. Colors refer to each PANGO lineage tracked but multiple blocks of the same color can also refer to different variants within a PANGO lineage. For example, besides the colored Delta AY.* sublineages indicated, Delta has 26 subvariants (purple) with different combinations of mutations that are being prioritized for analysis.
Figure 3-
Figure 3-. In Vitro group.
(a) Live virus- nasal swabs in viral transport media or seed stocks are obtained followed by plaque purification and deep-sequencing. Pseudotyped virus- plasmids encoding the variant spike sequence are synthesized to generate pseudotyped lentivirus stocks. Vesicular Stomatitis virus (VSV) chimeric virus- the glycoprotein gene (G) is replaced with the spike protein of SARS-CoV-2 (VSV-eGFP-SARS-CoV-2) and a GFP reporter gene. (b) The In Vitro group conducted performance testing between 12 neutralization assays involving live authentic virus consisting of focus-reduction neutralization test (FRNT-1), recombinant SARS-CoV-2 reporter virus FRNT (FRNT-2), plaque reduction neutralization test (PRNT), recombinant SARS-CoV-2 expressing nano-luc (Nano-luc), cytopathic effect assay (CPE), microneutralization assay (MNA), and focus-reduction neutralization assay (FRNA) and lentivirus and VSV pseudotyped neutralization assays, and VSV chimeric assays. Example dataset between wild-type (WT) and Beta virus is presented. (c) Antigenic cartography. ID50 neutralization titers in a lentivirus-based pseudovirus assay were determined against a panel of SARS-CoV-2 variants and serum from Moderna vaccinated or infected individuals. Distance between serum to an antigen corresponds to the titer of that serum for the antigen. Grid lines represent 2-fold dilution of antiserum. Vertical and horizontal axes represent antigenic distance. Antigens- circle; Sera-squares. (d) SARS-CoV-2 variant T cell responses. Sequence data are curated for coding mutations (pink boxes). Curated mutations are tested on convalescent T cell responses using functional assays (Activation Induced Marker- AIM assays; green boxes). Immune Epitope Database (IEDB) and the Immunocode Multiplex Identification of T cell Receptor Antigen Specificity dataset (MIRA) are analyzed to generate curated peptide sets of immunodominant epitopes (blue boxes). Data are integrated to produce a ranked score list of variant epitope changes weighted by their likelihood to disrupt epitope binding and the relative size of the affected population (gray boxes). Created in part with BioRender.com.
Figure 4-
Figure 4-. In Vivo group.
(a) Animal model development. After selection of variants to analysis by the Early Detection and In Vitro Analysis Group, isolates are grown, validated by next-generation sequencing, and analyzed in each animal model at different doses to determine pathogenicity, viral kinetics and transmission (in hamsters). Weight loss, lung titer and lung pathology as assessed to have benchmarks for vaccine studies. (b) Vaccine Challenge. Each animal model is immunized with selected vaccines. Animal serum is examined after vaccination for neutralizing antibody levels and across a systems serology analysis before viral challenge with the chosen variants. Protection against infection and disease in each model is analyzed to determine the protective capability of each vaccine and variant. Data on protection of each animal model with each vaccine platform and challenged with variant viruses is shared with the SAVE consortium and SIG. Created with BioRender.com

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