| Literature DB >> 36096815 |
Monika Kumari1,2, Ruei-Min Lu1, Mu-Chun Li1, Jhih-Liang Huang1, Fu-Fei Hsu1, Shih-Han Ko1, Feng-Yi Ke1,2, Shih-Chieh Su2, Kang-Hao Liang1, Joyce Pei-Yi Yuan1, Hsiao-Ling Chiang1, Cheng-Pu Sun1,3, I-Jung Lee1,3, Wen-Shan Li1,4, Hsing-Pang Hsieh1,5, Mi-Hua Tao1,3, Han-Chung Wu6,7.
Abstract
The novel coronavirus disease (COVID-19) pandemic remains a global public health crisis, presenting a broad range of challenges. To help address some of the main problems, the scientific community has designed vaccines, diagnostic tools and therapeutics for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The rapid pace of technology development, especially with regard to vaccines, represents a stunning and historic scientific achievement. Nevertheless, many challenges remain to be overcome, such as improving vaccine and drug treatment efficacies for emergent mutant strains of SARS-CoV-2. Outbreaks of more infectious variants continue to diminish the utility of available vaccines and drugs. Thus, the effectiveness of vaccines and drugs against the most current variants is a primary consideration in the continual analyses of clinical data that supports updated regulatory decisions. The first two vaccines granted Emergency Use Authorizations (EUAs), BNT162b2 and mRNA-1273, still show more than 60% protection efficacy against the most widespread current SARS-CoV-2 variant, Omicron. This variant carries more than 30 mutations in the spike protein, which has largely abrogated the neutralizing effects of therapeutic antibodies. Fortunately, some neutralizing antibodies and antiviral COVID-19 drugs treatments have shown continued clinical benefits. In this review, we provide a framework for understanding the ongoing development efforts for different types of vaccines and therapeutics, including small molecule and antibody drugs. The ripple effects of newly emergent variants, including updates to vaccines and drug repurposing efforts, are summarized. In addition, we summarize the clinical trials supporting the development and distribution of vaccines, small molecule drugs, and therapeutic antibodies with broad-spectrum activity against SARS-CoV-2 strains.Entities:
Keywords: COVID-19; Neutralizing antibodies; SARS-CoV-2; Small molecule antiviral drugs; Therapeutics; Vaccine development; mRNA vaccines
Mesh:
Substances:
Year: 2022 PMID: 36096815 PMCID: PMC9465653 DOI: 10.1186/s12929-022-00852-9
Source DB: PubMed Journal: J Biomed Sci ISSN: 1021-7770 Impact factor: 12.771
Fig. 1Global circumstances regarding COVID-19. A Resurgence of new cases is associated with increased mortality. Data were collected from the WHO COVID-19 Dashboard. Geneva: World Health Organization, 2020; available online: https://covid19.who.int/. B Epidemic dynamics of SARS-CoV-2 dominant variants. The data for frequency of infection by each variant were collected from GISAID [251]. The death rate was calculated as weekly deaths/weekly cases from (A). C Genomic variations in spike protein of major and emerging SARS-CoV-2 variants. D Epidemic dynamics of SARS-CoV-2 Omicron variants on five continents and South Africa; represented as daily frequency of each detected sequence. Due to a lack of sufficient data from South Africa in June July 2022 (daily sequencing cases < 15), the Omicron frequency analysis for South Africa was only performed up to July 11, 2022. All data were retrieved from GISAID
Different types of vaccine in clinical trials against COVID-19
| A. The efficacies of WHO-approved COVID-19 vaccines | ||||||
|---|---|---|---|---|---|---|
| Vaccine name | Brand name | Manufacturer | Platform | Doses administered* | Dose regimens | Vaccine efficacy% (95% CI) |
| BNT162b2 | Comirnaty | Pfizer-BioNTech | mRNA | 1,785,619,896 | 2 doses (21 days apart) | 94.6% [ |
| mRNA-1273 | Spikevax | Moderna | mRNA | 542,622,974 | 2 doses (28 days apart) | 94.1% [ |
| AZD1222 | Vaxzevria | AstraZeneca-Oxford | Viral vector | 200,591,659 | 2 doses (28 days apart) | 66.7% 55.1% (2 doses < 6 weeks apart) 81.3% (2 doses > 12 weeks apart) [ |
| Covishield | Serum Institute of India | Viral vector | N.D | 2 doses (4–8 weeks apart) | ~ 90% [ | |
| Ad26.COV2.S | Janssen COVID-19 Vaccine | Johnson & Johnson | Viral vector | 67,448,407 | 1 dose | 66% [ |
| BBIBP-CorV | Covilo | Sinopharm | Inactivated virus | 73,451,148 | 2 doses (21 days apart) | 79% [ |
| COVID-19 Vaccine | CoronaVac | Sinovac Biotech | Inactivated virus | 61,179,382 | 2 doses (14 days apart) | 50.4% (Brazil), 67% (Chile), 65% (Indonesia), 78% (Brazil), 84% (Turkey) |
| BBV152 | Covaxin | Bharat Biotech | Viral vector | N.D | 2 doses (28 days apart) | 81% [ |
| NVX-CoV2373 | Nuvaxoid | Novavax | Protein subunit | 751,181 | 2 doses (21 days apart) | 89.7% [ |
| Covovax | Serum Institute of India | Protein subunit | N.D | 2 doses (21 days apart) | 90.4% (USA) 89.7% (UK and Mexico) | |
* Source: Hannah Ritchie, Edouard Mathieu, Lucas Rodés-Guirao, Cameron Appel, Charlie Giattino, Esteban Ortiz-Ospina, Joe Hasell, Bobbie Macdonald, Diana Beltekian and Max Roser (2020)—"Coronavirus Pandemic (COVID-19)". Published online at OurWorldInData.org. Retrieved from: 'https://ourworldindata.org/coronavirus' [Online Resource] Data extracted 04 May 2022
N.D., not determined
Fig. 2Global approaches in vaccines development. A Timeline of different vaccine development platforms against viral infections. The timeline represents the first vaccine developed against each pathogen outbreak. Color of the bar represents the vaccine type. Red dots indicate the years in which the pathogen was linked to diseases. B Number of candidate vaccines against SARS-CoV-2 of each vaccine platform type in various clinical stages. Data is acquired from COVID-19 vaccine tracker and landscape published by World Health Organization dated April 22, 2022. Viral vector (NR) indicates non-replicating viral vector; others include replicating viral vector, live attenuated virus, replicating viral vector plus antigen presenting cells, and non-replicating viral vector plus antigen presenting cells
Fig. 3Schematic representation of the structure of conventional mRNA and the structure and intracellular amplification of self-amplifying mRNA. A The design of IVT mRNA is based on the blueprint of eukaryotic mRNA, and it consists of a 5’ cap, 5’ and 3’ untranslated regions (UTRs), an open reading frame (ORF) encoding antigen(s), and a 3’ poly(A) tail. The IVT mRNA can be modified in one or multiple sites, e.g., by modification of the caps, the UTRs and the poly(A) tail, to modulate the duration and kinetic profile of protein expression. B Antigen expression in different types of mRNA vaccines. The immunogen is encoded by a non-replicating RNA flanked by 5′ and 3′ UTRs. Self-amplifying RNA encodes four nonstructural proteins and a sub-genomic promoter derived from the alphavirus genome. It encodes a replicase and amplifies vaccine-antigen transcripts. Trans-amplifying RNA uses two transcripts to enable self-amplification of replicase and the target antigen
Fig. 4Diagrammatic illustration of mRNA-LNPs complex preparation and testing. A Synthesis of IVT mRNA. 1. Restriction enzyme digestion for DNA plasmid linearization; 2. Co-transcriptional capping of IVT; 3. DNase treatment and cellulose-based purification of IVT mRNA. B Schematic representation of the LNPs-encapsulated mRNA. C In vitro assay of protein expression from mRNA-LNPs. D Immunogenicity assessment of mRNA-LNPs in vivo
Fig. 5Chemical structure of most common lipids for mRNA delivery. A Cationic or ionizable lipid design. Analysis and summary of the representative structure of B Cationic lipids and C Ionizable lipids
Protective efficacies of US FDA-approved COVID-19 vaccines toward five WHO variants of concern
| SARS-CoV-2 Variants (WHO VOC) | Comirnaty (BNT162b2) | Spikevax (mRNA-1273) | Vaxzevria (AZD1222) | Janssen COVID-19 Vaccine (Ad26.COV2.S) | CoronaVac (COVID-19 Vaccine) | Nuvaxovid (NVX-CoV2373) |
|---|---|---|---|---|---|---|
| Alpha (B.1.1.7) | 89.5% [ | Reduced levels of neutralizing Abs [ | 70.4% [ | 70.1% (14 days after administration) 70.2% (28 days after administration) [ | 2.9-fold reduction in neutralizing Alpha variant [ | 86% [ |
| Beta (B.1.351) | 75% [ | Reduced levels of neutralizing Abs [ | N.D | 38.1% (14 days after administration) 51.9% (28 days after administration) [ | 5.5-fold reduction in neutralizing Beta variant [ | 60% [ |
| Gamma (P.1) | N.D | Reduced levels of neutralizing Abs [ | N.D | 36.4% (14 days after administration) 36.5% (28 days after administration) [ | 51%/4.3-fold reduction in neutralizing Gamma variant [ | N.D |
| Delta (B.1.617.2) | 88%/90.9% Dose 2 (2-4W interval) [ | 94.5% Dose 2 (2-4W interval) [ | 67%/82.8% Dose 2 (2-4W interval) [ | − 6% (14 days after administration) − 5.7% (28 days after administration) [ | 59%/3.4-fold reduction in neutralizing Delta variant [ | N.D |
| Omicron (B.1.1.529) | 65.5% Dose 2 (2-4W interval) [ | 75.1% Dose 2 (2-4W interval) [ | 48.9% Dose 2 (2-4W interval) [ | 51.8% (14 days after administration) 51.9% (28 days after administration) [ | 12.5-fold reduction in neutralizing Omicron variant [ | N.D |
W Weeks, N.D. not determined or under investigation
EUA (US FDA) and approved anti-SARS-CoV-2 therapeutic antibodies
| Antibody | US EUA date | Approved | Pause to use | Manufacturer | References |
|---|---|---|---|---|---|
| Bamlanivimab | 11/09/2020 | – | U.S. (04/16/2021) | Eli Lily and Company | [ |
| REGEN-COV (Casirivimab + Imdevimab) | 11/21/2020 | EU, UK, Japan | U.S. (01/24/2022) | Regeneron pharmaceuticals | [ |
| Bamlanivimab + Etesevimab | 02/09/2021 | – | U.S. (01/24/2022) | Eli Lily and Company | [ |
| Xevudy (Sotrovimab) | 05/26/2021 | EU, UK | U.S. (03/30/2022) | GlaxoSmithKline plc and Vir Biotechnology, Inc | [ |
| Evusheld (Cilgavimab + Tixagevimab) | 12/02/2021 | EU, UK | – | AstraZeneca | [ |
| Bebtelovimab | 02/11/2022 | – | – | Eli Lily and Company | [ |
Regkirona (Regdanvimab) | – | EU, South Korea | – | Celltrion HealthCare | [ |
EU European Union, EUA Emergency Use Authorization
Summary of FDA EUA engineering mAbs
| Antibody | Fc Variants | Binding Affinity | Effector Function | USPTO application | Status of patent | |||
|---|---|---|---|---|---|---|---|---|
| Xevudy (Sotrovimab) | M428L/ N434S | N.D | [ | [ | [ | •Enhanced ADCC •Enhanced ADCP •Enhanced IgG half life | 11/124,620 | Patented |
| Evusheld (Cilgavimab + Tixagevimab) | L234F/ L235E/ P331S | [ | [ | N.D | N.D | •Reduced ADCC •Reduced CDC •Enhanced IgG half life | 16/159,451 | Patented |
M252Y/ S254T/ T256E | [ | [ | [ | [ | 13/133,845 | Patented | ||
| Etesevimab | L234A/ L235A | [ | [ | N.D | [ | •Reduced ADCC •Reduced CDC •Enhanced IgG half life | 15/210,464 | Abandoned |
Binding affinity of Fc engineered antibodies were compared to wild type antibodies of IgG. Abbreviations: ADCP, antibody-dependent cellular phagocytosis; ADCC, antibody-dependent cell cytotoxicity; CDC, complement-dependent cytotoxicity. -/ + : no change; -: reduction; + : enhancement; ND: no data
Fig. 6Structure of nAbs binding to RBD. The potent escape mutations in BA.1 variant were indicated in red. The Fab region of antibody show in Blue ribbon and RBD represent as white spheres. Complexes are visualized with PyMOL Molecular Graphics System, v2.5.2 (Schrödinger, LLC) software. The protein data bank (PDB) accession codes for the structures shown are 6XDG (casirivimab and imdevimab), 7KMG (bamlanivimab), 7C01 (etesevimab), 7R6W (sotrovimab), 7L7E (cilgavimab and tixagevimab), and 7MMO (bebtelovimab)
Neutralization of the Omicron variant BA.1 by the EUA-granted therapeutic Abs
| IC50 (ng/mL) for Omicron BA.1 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Antibody | Epitope | Peking U. [ | Vir Biotech [ | Columbia U. [ | Göttingen U. [ | Washington U. [ | Oxford U. [ | Université de Paris [ | Tokyo U. [ | The U.S. NIH [ |
| Casirivimab | RBM | > 10,000 | > 10,000 | > 10,000 | > 1,000 | > 10,000 | > 10,000 | > 9,000 | 14,110 | > 10,000 |
| Imdevimab | RBD | > 10,000 | > 10,000 | > 10,000 | > 10,000 | > 10,000 | > 10,000 | > 9,000 | > 50,000 | > 10,000 |
REGEN-COV (Casirivimab + Imdevimab) | N.D | > 10,000 | > 10,000 | > 1,000 | > 10,000 | N.D | > 9,000 | > 10,000 | N.D | |
| Bamlanivimab | RBD | > 10,000 | > 10,000 | > 10,000 | > 10,000 | > 10,000 | > 10,000 | > 9,000 | > 50,000 | > 10,000 |
| Etesevimab | RBM | > 10,000 | > 10,000 | > 10,000 | > 10,000 | > 10,000 | > 10,000 | > 9,000 | > 50,000 | > 10,000 |
| Bamlanivimab + Etesevimab | N.D | > 10,000 | > 10,000 | > 10,000 | > 10,000 | N.D | > 9,000 | > 10,000 | N.D | |
Xevudy Sotrovimab | RBD | 181 | ~ 200 | 100 ~ 1,000 | 100 ~ 1,000 | 373 | 256 | 917 | 373 | 281 |
| Cilgavimab | RBM | 2,178 | 2,772 | ~ 1,000 | N.D | 381 | 3,488 | 1,213 | 443 | 5850 |
| Tixagevimab | RBM | 6,860 | > 10,000 | 100 ~ 1,000 | N.D | 913 | 1,152 | 8,305 | 1,299 | 269 |
Evusheld (Cilgavimab + Tixagevimab) | N.D | 418 | 10 ~ 100 | N.D | 147 | 273 | 773 | 225 | N.D | |
| Regdanvimab | RBM | N.D | > 10,000 | N.D | N.D | > 10,000 | N.D | > 9,000 | N.D | > 10,000 |
| Bebtelovimab | RBD | N.D | N.D | N.D | N.D | N.D | N.D | N.D | N.D | 5.1 |
| Approach | Pseudovirus | Pseudovirus | Pseudovirus | Pseudovirus | Authentic virus | Authentic virus | Authentic virus | Authentic virus | Pseudovirus | |
N.D. not determined
Fig. 7Therapeutics drug distribution and efficacy against COVID-19. A Distribution of COVID-19 therapeutics from Nov 9, 2020 to Apr 24, 2022 in USA. B Total Distribution percentage of antiviral reagents and neutralizing antibodies doses from Nov 9, 2020 to Apr 24, 2022 in USA. The data was adopted from U.S. Department of Health & Human Service (https://aspr.hhs.gov/COVID-19/Therapeutics/Distribution/Pages/default.aspx). C Effectiveness of therapeutic reagents on reducing hospitalization and deaths of COVID-19 patients
Fig. 8Prevention and therapy for COVID-19. A Vaccines stimulate the host immune system to generate neutralizing antibodies against COVID-19. B Small molecule drugs and therapeutic antibodies block viral replication or entry