Literature DB >> 35288685

Antigenic evolution will lead to new SARS-CoV-2 variants with unpredictable severity.

Peter V Markov1, Aris Katzourakis2, Nikolaos I Stilianakis3,4.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 35288685      PMCID: PMC8919145          DOI: 10.1038/s41579-022-00722-z

Source DB:  PubMed          Journal:  Nat Rev Microbiol        ISSN: 1740-1526            Impact factor:   78.297


× No keyword cloud information.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is set for continuous circulation in humans owing to its ease of transmission, waning immunity, antigenic evolution and an array of potential animal reservoirs[1]. A key question is predicting the epidemiological and clinical parameters of this continuous circulation[2] and the future population burden of coronavirus disease 2019 (COVID-19). The comparatively milder levels of disease produced by Omicron, the most recent variant of concern (VOC), in relation to previous VOCs rekindled a variety of wishful narratives about the epidemiology and evolution of the virus. These ideas range from misconceived and premature theories about ‘harmless’ endemicity[3], to expectations that widespread immunity renders epidemic waves safe and to hopes that the virus will evolve to be benign. The notion that viruses will evolve to be less virulent to spare their hosts is one of the most persistent myths surrounding pathogen evolution. Unlike viral immune escape and transmissibility, which are under strong evolutionary pressure, virulence is typically a by-product, fashioned by complex interactions between factors in both the host and the pathogen. Viruses evolve to maximize their transmissibility and sometimes this may correlate with higher virulence, for example, if high viral loads promote transmission but also increase severity. If so, pathogens may evolve towards higher virulence. If severity manifests late in infection, only after the typical transmission window, as in SARS-CoV-2, but also influenza virus, HIV, hepatitis C virus and many others, it plays a limited role in viral fitness and may not be selected against. Forecasting virulence evolution is a complex task, and the lower severity of Omicron is hardly a good predictor for future variants. The prospect of future VOCs featuring the potentially disastrous combination of the ability to reinfect due to immune escape along with high virulence is unfortunately very real. Another common belief banks on widespread vaccine or infection-induced immunity to guarantee mild SARS-CoV-2 infections in the future. This idea, however, ignores a central feature of SARS-CoV-2 biology — antigenic evolution, that is, an ongoing modification of the viral antigenic profile in response to host immune pressures. High rates of antigenic evolution can result in immune escape, that is, reduced capacity of the immune system to prevent reinfection and potentially severe disease thereupon. On a population level, antigenic evolution and escape can increase burden through increasing the rates of reinfections and rates of severe illness (Fig. 1).
Fig. 1

Effects of the interactions between transmissibility, disease severity and immune escape of variants of concern on SARS-CoV-2 population burden.

SARS-CoV-2, severe acute respiratory syndrome coronavirus 2. *All comparisons are with the Wuhan-Hu-1 lineage.

Effects of the interactions between transmissibility, disease severity and immune escape of variants of concern on SARS-CoV-2 population burden.

SARS-CoV-2, severe acute respiratory syndrome coronavirus 2. *All comparisons are with the Wuhan-Hu-1 lineage. Omicron demonstrated clearly that SARS-CoV-2 is capable of considerable antigenic escape over a relatively short period of time. The variant features at least 50 amino acid mutations compared with the ancestral Wuhan-Hu-1 reference strain[4] and is highly antigenically divergent from earlier VOCs[5]. Its explosive spread in highly immune populations revealed that these mutations enable the variant to easily infect individuals with immunity due to previous infection or vaccination. Genetic divergence is considerable amongst sub-lineages of omicron, and the functional importance of this divergence is being illustrated by the proportional increase of the BA.2 lineage. In September 2020, after an initial period of relative evolutionary stability, SARS-CoV-2 variants with considerable antigenic divergence from the ancestral virus started to emerge[6]. At least three earlier VOCs, Beta, Gamma and Delta, featured immune escape mutations[7], and nothing currently suggests that antigenic evolution will slow down in the future. On the contrary, VOCs are just the tip of the ‘evolutionary iceberg’. Hundreds of SARS-CoV-2 lineages continuously diverge from each other over time and evolutionary theory predicts increasing chances of immune escape variants in the future. The adaptive fitness of a virus is suitably quantified by its effective reproduction number (Rt). Rt is the total number of secondary infections that an infectious case generates in the population[8]. So, the fittest virus is the one that transmits to the highest number of hosts. In a naive population with everyone susceptible, a virus can best achieve this by becoming more infectious. Early VOCs evolved in this way; Alpha, then Delta were each approximately 50% more infectious than their predecessor, each rapidly displacing it on their way to dominance in the population[9]. In highly immune populations, however, a mere increment in intrinsic infectiousness will contribute relatively little to transmissibility, because the obstacle in this situation is host resistance to infection. Accordingly, as human populations transition to high levels of immunity, SARS-CoV-2 is predicted to increasingly optimize its transmissibility (Rt) through honing its ability to re-infect immune individuals, and less through being highly infectious. Thus, the growing levels of immunity are likely to accelerate the rates of antigenic evolution, raising both the risk of reinfection and potentially the prospect of higher disease severity of reinfections. The rapid spread of Omicron was facilitated by its extraordinary ability to re-infect immune individuals, exemplifying this evolutionary strategy[10]. Omicron is the first VOC that is less virulent than other circulating strains and this has been enthusiastically interpreted to be a sign of the approaching end of the pandemic. Yet the lower severity of Omicron is nothing but a lucky coincidence — compared with previous VOCs, the majority of which featured increased virulence, Omicron appears like the exception. Immune escape needs to hit constantly changing targets. Once Omicron infects the majority of individuals, the next variant will need to be as antigenically different from Omicron and previous VOCs as possible to overcome immunity against them. None of the VOCs that previously rose to dominance originated from the prevailing lineage at the time, which will also likely be the case for future VOCs. We know little about the circumstances and processes that generated all the antigenically divergent variants so far, and this makes it hard to predict the timing or antigenic and viral properties of future variants. A more pathogenic future VOC would sweep and replace Omicron along with the features that contribute to its lower severity (preference for upper respiratory tract over pulmonary tissue[9], and reduced tendency to induce cell–cell fusion). Molecular clock analysis dated the split of Omicron from other SARS-CoV-2 lineages to more than a year before its epidemic emergence. This hints at the possibility of other, antigenically divergent variants in existence or currently forming that may be yet to emerge. To understand the future burden of COVID-19, besides exploring the relationship between antigenic escape and disease severity, we need to scrutinize the mechanisms generating highly antigenically divergent variants and the circumstances underlying their emergence. This includes studying patterns of antigenic evolution in immunodeficient individuals or in SARS-CoV-2-permissive animal species at human proximity. Understanding these factors will enable us to more reliably evaluate the future population risk of disease in humans and to plan and prepare.
  9 in total

1.  Will SARS-CoV-2 become endemic?

Authors:  Jeffrey Shaman; Marta Galanti
Journal:  Science       Date:  2020-10-14       Impact factor: 47.728

2.  COVID-19: endemic doesn't mean harmless.

Authors:  Aris Katzourakis
Journal:  Nature       Date:  2022-01       Impact factor: 49.962

3.  Spatiotemporal invasion dynamics of SARS-CoV-2 lineage B.1.1.7 emergence.

Authors:  Moritz U G Kraemer; Verity Hill; Christopher Ruis; Simon Dellicour; Sumali Bajaj; John T McCrone; Guy Baele; Kris V Parag; Anya Lindström Battle; Bernardo Gutierrez; Ben Jackson; Rachel Colquhoun; Áine O'Toole; Brennan Klein; Alessandro Vespignani; Erik Volz; Nuno R Faria; David M Aanensen; Nicholas J Loman; Louis du Plessis; Simon Cauchemez; Andrew Rambaut; Samuel V Scarpino; Oliver G Pybus
Journal:  Science       Date:  2021-07-22       Impact factor: 63.714

4.  Immunological characteristics govern the transition of COVID-19 to endemicity.

Authors:  Jennie S Lavine; Ottar N Bjornstad; Rustom Antia
Journal:  Science       Date:  2021-01-12       Impact factor: 47.728

5.  Practical considerations for measuring the effective reproductive number, Rt.

Authors:  Katelyn M Gostic; Lauren McGough; Edward B Baskerville; Sam Abbott; Keya Joshi; Christine Tedijanto; Rebecca Kahn; Rene Niehus; James A Hay; Pablo M De Salazar; Joel Hellewell; Sophie Meakin; James D Munday; Nikos I Bosse; Katharine Sherrat; Robin N Thompson; Laura F White; Jana S Huisman; Jérémie Scire; Sebastian Bonhoeffer; Tanja Stadler; Jacco Wallinga; Sebastian Funk; Marc Lipsitch; Sarah Cobey
Journal:  PLoS Comput Biol       Date:  2020-12-10       Impact factor: 4.475

6.  SARS-CoV-2 Omicron-B.1.1.529 leads to widespread escape from neutralizing antibody responses.

Authors:  Wanwisa Dejnirattisai; Jiandong Huo; Daming Zhou; Jiří Zahradník; Piyada Supasa; Chang Liu; Helen M E Duyvesteyn; Helen M Ginn; Alexander J Mentzer; Aekkachai Tuekprakhon; Rungtiwa Nutalai; Beibei Wang; Aiste Dijokaite; Suman Khan; Ori Avinoam; Mohammad Bahar; Donal Skelly; Sandra Adele; Sile Ann Johnson; Ali Amini; Thomas G Ritter; Chris Mason; Christina Dold; Daniel Pan; Sara Assadi; Adam Bellass; Nicola Omo-Dare; David Koeckerling; Amy Flaxman; Daniel Jenkin; Parvinder K Aley; Merryn Voysey; Sue Ann Costa Clemens; Felipe Gomes Naveca; Valdinete Nascimento; Fernanda Nascimento; Cristiano Fernandes da Costa; Paola Cristina Resende; Alex Pauvolid-Correa; Marilda M Siqueira; Vicky Baillie; Natali Serafin; Gaurav Kwatra; Kelly Da Silva; Shabir A Madhi; Marta C Nunes; Tariq Malik; Peter J M Openshaw; J Kenneth Baillie; Malcolm G Semple; Alain R Townsend; Kuan-Ying A Huang; Tiong Kit Tan; Miles W Carroll; Paul Klenerman; Eleanor Barnes; Susanna J Dunachie; Bede Constantinides; Hermione Webster; Derrick Crook; Andrew J Pollard; Teresa Lambe; Neil G Paterson; Mark A Williams; David R Hall; Elizabeth E Fry; Juthathip Mongkolsapaya; Jingshan Ren; Gideon Schreiber; David I Stuart; Gavin R Screaton
Journal:  Cell       Date:  2022-01-04       Impact factor: 41.582

Review 7.  The biological and clinical significance of emerging SARS-CoV-2 variants.

Authors:  Kaiming Tao; Philip L Tzou; Janin Nouhin; Ravindra K Gupta; Tulio de Oliveira; Sergei L Kosakovsky Pond; Daniela Fera; Robert W Shafer
Journal:  Nat Rev Genet       Date:  2021-09-17       Impact factor: 53.242

Review 8.  SARS-CoV-2 variants, spike mutations and immune escape.

Authors:  William T Harvey; Alessandro M Carabelli; Ben Jackson; Ravindra K Gupta; Emma C Thomson; Ewan M Harrison; Catherine Ludden; Richard Reeve; Andrew Rambaut; Sharon J Peacock; David L Robertson
Journal:  Nat Rev Microbiol       Date:  2021-06-01       Impact factor: 78.297

9.  Altered TMPRSS2 usage by SARS-CoV-2 Omicron impacts infectivity and fusogenicity.

Authors:  Bo Meng; Adam Abdullahi; Isabella A T M Ferreira; Niluka Goonawardane; Akatsuki Saito; Izumi Kimura; Daichi Yamasoba; Pehuén Pereyra Gerber; Saman Fatihi; Surabhi Rathore; Samantha K Zepeda; Guido Papa; Steven A Kemp; Terumasa Ikeda; Mako Toyoda; Toong Seng Tan; Jin Kuramochi; Shigeki Mitsunaga; Takamasa Ueno; Kotaro Shirakawa; Akifumi Takaori-Kondo; Teresa Brevini; Donna L Mallery; Oscar J Charles; John E Bowen; Anshu Joshi; Alexandra C Walls; Laurelle Jackson; Darren Martin; Kenneth G C Smith; John Bradley; John A G Briggs; Jinwook Choi; Elo Madissoon; Kerstin B Meyer; Petra Mlcochova; Lourdes Ceron-Gutierrez; Rainer Doffinger; Sarah A Teichmann; Andrew J Fisher; Matteo S Pizzuto; Anna de Marco; Davide Corti; Myra Hosmillo; Joo Hyeon Lee; Leo C James; Lipi Thukral; David Veesler; Alex Sigal; Fotios Sampaziotis; Ian G Goodfellow; Nicholas J Matheson; Kei Sato; Ravindra K Gupta
Journal:  Nature       Date:  2022-02-01       Impact factor: 69.504

  9 in total
  17 in total

1.  Urban monitoring, evaluation and application of COVID-19 listed vaccine effectiveness: a health code blockchain study.

Authors:  Tao Wang; Chaoqun Li; Hongyan Li; Zheheng Li
Journal:  BMJ Open       Date:  2022-07-13       Impact factor: 3.006

Review 2.  Heterogeneity and Risk of Bias in Studies Examining Risk Factors for Severe Illness and Death in COVID-19: A Systematic Review and Meta-Analysis.

Authors:  Abraham Degarege; Zaeema Naveed; Josiane Kabayundo; David Brett-Major
Journal:  Pathogens       Date:  2022-05-10

Review 3.  Molecular characteristics, immune evasion, and impact of SARS-CoV-2 variants.

Authors:  Cong Sun; Chu Xie; Guo-Long Bu; Lan-Yi Zhong; Mu-Sheng Zeng
Journal:  Signal Transduct Target Ther       Date:  2022-06-28

Review 4.  Zoonotic Origins of Human Metapneumovirus: A Journey from Birds to Humans.

Authors:  Sonja T Jesse; Martin Ludlow; Albert D M E Osterhaus
Journal:  Viruses       Date:  2022-03-25       Impact factor: 5.818

5.  Why is the SARS-CoV-2 Omicron variant milder?

Authors:  Bingqing Xia; Yi Wang; Xiaoyan Pan; Xi Cheng; Hongying Ji; Xiaoli Zuo; Hualiang Jiang; Jia Li; Zhaobing Gao
Journal:  Innovation (Camb)       Date:  2022-04-26

6.  The T Cell Epitope Landscape of SARS-CoV-2 Variants of Concern.

Authors:  Simen Tennøe; Marius Gheorghe; Richard Stratford; Trevor Clancy
Journal:  Vaccines (Basel)       Date:  2022-07-14

7.  Pre-Omicron Vaccine Breakthrough Infection Induces Superior Cross-Neutralization against SARS-CoV-2 Omicron BA.1 Compared to Infection Alone.

Authors:  Eveline Santos da Silva; Michel Kohnen; Georges Gilson; Therese Staub; Victor Arendt; Christiane Hilger; Jean-Yves Servais; Emilie Charpentier; Olivia Domingues; Chantal J Snoeck; Markus Ollert; Carole Seguin-Devaux; Danielle Perez-Bercoff
Journal:  Int J Mol Sci       Date:  2022-07-12       Impact factor: 6.208

8.  Efficacy of Licensed Monoclonal Antibodies and Antiviral Agents against the SARS-CoV-2 Omicron Sublineages BA.1 and BA.2.

Authors:  Lia Fiaschi; Filippo Dragoni; Elisabetta Schiaroli; Annalisa Bergna; Barbara Rossetti; Federica Giammarino; Camilla Biba; Anna Gidari; Alessia Lai; Cesira Nencioni; Daniela Francisci; Maurizio Zazzi; Ilaria Vicenti
Journal:  Viruses       Date:  2022-06-23       Impact factor: 5.818

Review 9.  The nervous system during COVID-19: Caught in the crossfire.

Authors:  Nick R Natale; John R Lukens; William A Petri
Journal:  Immunol Rev       Date:  2022-06-30       Impact factor: 10.983

10.  SARS-CoV-2 fusion-inhibitory lipopeptides maintain high potency against divergent variants of concern including Omicron.

Authors:  Yuanmei Zhu; Xiaojing Dong; Nian Liu; Tong Wu; Huihui Chong; Xiaobo Lei; Lili Ren; Jianwei Wang; Yuxian He
Journal:  Emerg Microbes Infect       Date:  2022-12       Impact factor: 19.568

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.