11
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Repeated Omicron exposures override ancestral SARS-CoV-2 immune imprinting

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The continuing emergence of SARS-CoV-2 variants highlights the need to update COVID-19 vaccine compositions. However, immune imprinting induced by vaccination based on the ancestral (hereafter referred to as WT) strain would compromise the antibody response to Omicron-based boosters 15 . Vaccination strategies to counter immune imprinting are critically needed. Here we investigated the degree and dynamics of immune imprinting in mouse models and human cohorts, especially focusing on the role of repeated Omicron stimulation. In mice, the efficacy of single Omicron boosting is heavily limited when using variants that are antigenically distinct from WT—such as the XBB variant—and this concerning situation could be mitigated by a second Omicron booster. Similarly, in humans, repeated Omicron infections could alleviate WT vaccination-induced immune imprinting and generate broad neutralization responses in both plasma and nasal mucosa. Notably, deep mutational scanning-based epitope characterization of 781 receptor-binding domain (RBD)-targeting monoclonal antibodies isolated from repeated Omicron infection revealed that double Omicron exposure could induce a large proportion of matured Omicron-specific antibodies that have distinct RBD epitopes to WT-induced antibodies. Consequently, immune imprinting was largely mitigated, and the bias towards non-neutralizing epitopes observed in single Omicron exposures was restored. On the basis of the deep mutational scanning profiles, we identified evolution hotspots of XBB.1.5 RBD and demonstrated that these mutations could further boost the immune-evasion capability of XBB.1.5 while maintaining high ACE2-binding affinity. Our findings suggest that the WT component should be abandoned when updating COVID-19 vaccines, and individuals without prior Omicron exposure should receive two updated vaccine boosters.

          Abstract

          Exposure to early variants of SARS-CoV-2 results in immune imprinting in mouse models and in humans, reducing neutralizing antibody titres against Omicron variants, which could be mitigated with multiple updated boosters.

          Related collections

          Most cited references55

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          From Louvain to Leiden: guaranteeing well-connected communities

          Community detection is often used to understand the structure of large and complex networks. One of the most popular algorithms for uncovering community structure is the so-called Louvain algorithm. We show that this algorithm has a major defect that largely went unnoticed until now: the Louvain algorithm may yield arbitrarily badly connected communities. In the worst case, communities may even be disconnected, especially when running the algorithm iteratively. In our experimental analysis, we observe that up to 25% of the communities are badly connected and up to 16% are disconnected. To address this problem, we introduce the Leiden algorithm. We prove that the Leiden algorithm yields communities that are guaranteed to be connected. In addition, we prove that, when the Leiden algorithm is applied iteratively, it converges to a partition in which all subsets of all communities are locally optimally assigned. Furthermore, by relying on a fast local move approach, the Leiden algorithm runs faster than the Louvain algorithm. We demonstrate the performance of the Leiden algorithm for several benchmark and real-world networks. We find that the Leiden algorithm is faster than the Louvain algorithm and uncovers better partitions, in addition to providing explicit guarantees.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Deep mutational scanning of SARS-CoV-2 receptor binding domain reveals constraints on folding and ACE2 binding

            Summary The receptor binding domain (RBD) of the SARS-CoV-2 spike glycoprotein mediates viral attachment to ACE2 receptor, and is a major determinant of host range and a dominant target of neutralizing antibodies. Here we experimentally measure how all amino-acid mutations to the RBD affect expression of folded protein and its affinity for ACE2. Most mutations are deleterious for RBD expression and ACE2 binding, and we identify constrained regions on the RBD’s surface that may be desirable targets for vaccines and antibody-based therapeutics. But a substantial number of mutations are well tolerated or even enhance ACE2 binding, including at ACE2 interface residues that vary across SARS-related coronaviruses. However, we find no evidence that these ACE2-affinity enhancing mutations have been selected in current SARS-CoV-2 pandemic isolates. We present an interactive visualization and open analysis pipeline to facilitate use of our dataset for vaccine design and functional annotation of mutations observed during viral surveillance.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Omicron escapes the majority of existing SARS-CoV-2 neutralizing antibodies

              The SARS-CoV-2 B.1.1.529 (Omicron) variant contains 15 mutations of the receptor-binding domain (RBD). How Omicron evades RBD-targeted neutralizing antibodies requires immediate investigation. Here we use high-throughput yeast display screening 1,2 to determine the profiles of RBD escaping mutations for 247 human anti-RBD neutralizing antibodies and show that the neutralizing antibodies can be classified by unsupervised clustering into six epitope groups (A–F)—a grouping that is highly concordant with knowledge-based structural classifications 3–5 . Various single mutations of Omicron can impair neutralizing antibodies of different epitope groups. Specifically, neutralizing antibodies in groups A–D, the epitopes of which overlap with the ACE2-binding motif, are largely escaped by K417N, G446S, E484A and Q493R. Antibodies in group E (for example, S309) 6 and group F (for example, CR3022) 7 , which often exhibit broad sarbecovirus neutralizing activity, are less affected by Omicron, but a subset of neutralizing antibodies are still escaped by G339D, N440K and S371L. Furthermore, Omicron pseudovirus neutralization showed that neutralizing antibodies that sustained single mutations could also be escaped, owing to multiple synergetic mutations on their epitopes. In total, over 85% of the tested neutralizing antibodies were escaped by Omicron. With regard to neutralizing-antibody-based drugs, the neutralization potency of LY-CoV016, LY-CoV555, REGN10933, REGN10987, AZD1061, AZD8895 and BRII-196 was greatly undermined by Omicron, whereas VIR-7831 and DXP-604 still functioned at a reduced efficacy. Together, our data suggest that infection with Omicron would result in considerable humoral immune evasion, and that neutralizing antibodies targeting the sarbecovirus conserved region will remain most effective. Our results inform the development of antibody-based drugs and vaccines against Omicron and future variants.
                Bookmark

                Author and article information

                Contributors
                yunlongcao@pku.edu.cn
                Journal
                Nature
                Nature
                Nature
                Nature Publishing Group UK (London )
                0028-0836
                1476-4687
                22 November 2023
                22 November 2023
                2024
                : 625
                : 7993
                : 148-156
                Affiliations
                [1 ]Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, ( https://ror.org/02v51f717) Beijing, P. R. China
                [2 ]Changping Laboratory, Beijing, P. R. China
                [3 ]College of Chemistry and Molecular Engineering, Peking University, ( https://ror.org/02v51f717) Beijing, P. R. China
                [4 ]Institute for Immunology, College of Life Sciences, Nankai University, ( https://ror.org/01y1kjr75) Tianjin, P. R. China
                [5 ]GRID grid.24696.3f, ISNI 0000 0004 0369 153X, Beijing Ditan Hospital, , Capital Medical University, ; Beijing, P. R. China
                [6 ]GRID grid.12527.33, ISNI 0000 0001 0662 3178, Peking–Tsinghua Center for Life Sciences, , Tsinghua University, ; Beijing, P. R. China
                [7 ]Joint Graduate Program of Peking–Tsinghua–NIBS, Academy for Advanced Interdisciplinary Studies, Peking University, ( https://ror.org/02v51f717) Beijing, P. R. China
                [8 ]Sinovac Biotech, ( https://ror.org/057f25d66) Beijing, P. R. China
                [9 ]GRID grid.216938.7, ISNI 0000 0000 9878 7032, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, , Nankai University, ; Tianjin, P. R. China
                [10 ]Institute of Medical Biotechnology, Chinese Academy of Medical Science and Peking Union Medical College, ( https://ror.org/02drdmm93) Kunming, P. R. China
                Author information
                http://orcid.org/0000-0003-0648-1864
                http://orcid.org/0000-0002-9084-9985
                http://orcid.org/0000-0001-8703-3507
                http://orcid.org/0009-0001-9834-4340
                http://orcid.org/0000-0001-5805-6419
                http://orcid.org/0000-0001-8496-172X
                http://orcid.org/0000-0003-0045-4355
                http://orcid.org/0000-0001-9281-5239
                http://orcid.org/0000-0001-9769-5141
                http://orcid.org/0000-0001-5918-1078
                Article
                6753
                10.1038/s41586-023-06753-7
                10764275
                37993710
                124b5228-ffd5-4b32-a9f5-3fb0721abea8
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 2 May 2023
                : 17 October 2023
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                antibodies,viral infection
                Uncategorized
                antibodies, viral infection

                Comments

                Comment on this article