| Literature DB >> 35292834 |
Shagnik Chattopadhyay1, Sayantee Hazra1, Arman Kunwar Hansda1, Biswajit Biswas1, Ritobrata Goswami2.
Abstract
BACKGROUND: The mayhem COVID-19 that was ushered by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) was declared pandemic by the World Health Organization in March 2020. Since its initial outbreak in late 2019, the virus has affected hundreds of million adults in the world and killing millions in the process. After the approval of newly developed vaccines, severe challenges remain to manufacture and administer them to the adult population globally in quick time. However, we have witnessed several mutations of the virus leading to 'waves' of viral spread and mortality. WHO has categorized these mutations as variants of concern (VOCs) and variants of interest (VOIs). The mortality due to COVID-19 has also been associated with various comorbidities and improper immune response. This has created further complications in understanding the nature of the SARS-CoV2-host interaction that has fuelled doubts in the efficacy of the approved vaccines. Whether there is requirement of booster dose and whether the impending wave could affect the children are some of the hotly debated topics.Entities:
Keywords: COVID-19; Delta variant; T cells; Vaccines; Variant of concern; Variant of interest
Mesh:
Substances:
Year: 2022 PMID: 35292834 PMCID: PMC8923340 DOI: 10.1007/s00011-022-01555-5
Source DB: PubMed Journal: Inflamm Res ISSN: 1023-3830 Impact factor: 6.986
Fig. 2A Schematic representation of the 29.9 kbp-long SARS-CoV-2 genome where the different regions have been highlighted. B The 1273 amino acid long S protein of the SARS-CoV-2 showing different domains with mutations belonging to the delta, delta plus, and mu variants. The black arrows point to the major mutations across the S protein for the B.1.617.2 (Delta) variant, while the red and cyan arrows indicate the exclusive mutations present in the AY.1 (delta plus) and B.1.621 (Mu) variants, respectively. The scale shows the relative position of the amino acids in the S protein. Index: S1 and S2: S protein subunits 1 and 2, NTD: N-terminal domain, RBD: Receptor-binding domain, RBM: Receptor-binding motif, SD1 and SD2: Sub-domains 1 and 2, FP: Fusion peptide, HR1 and HR2: Heptad repeats 1 and 2, TM: Transmembrane domain, CT: Cytoplasmic domain (Color figure online)
Summarized list of all the VOCs and VOIs that have been identified to date along with their characteristic features
| Sl. No. | Lineage | Assignment | Variant identity | COO | Key S-protein mutations | Effect(s) of mutation | |
|---|---|---|---|---|---|---|---|
| Nextstrain clade | WHO nomenclature | ||||||
| 1 | 20I (V1) | Alpha | VOC | UK | N501Y, P681H, ΔH69/ΔV70, ΔY144 | Total 8 mutations are present in S protein apart from D614G. ΔY144 in the NTD restricts neutralization by NTD supersite directed antibodies. N501Y is predicted to confer superior binding to ACE2 [ | |
| 2 | 20H (V2) | Beta | VOC | RSA | L18F, K417N, E484K, N501Y, A701V, R246I, D215G | E484K reduces monoclonal antibody binding to the RBD of S protein. R246I in the NTD results in reduced effectiveness of the NTD supersite directed antibodies as seen in the Alpha variant [ | |
| 3 | 20 J (V3) | Gamma | VOC | BRA | L18F, R190S, D138Y, K417T, E484K, N501Y, H655Y | Similar to the previous variant, E484K and K417T facilitate immune escape and N501Y enhances attachment to ACE2 [ | |
| 4 | 21B | Kappa | VOI | IND | P681R, L452R, E484Q, Q1071H | Although these mutations may result in a reduction of viral entry into the host, they primarily assist the virus to evade vaccine-elicited antibody targeting. P681R enhances syncitium formation and efficient cleavage for faster transmission and aggravates disease pathogenesis [ | |
| 5 | 21A | Delta | VOC | IND | L452R, T478K, D950N, P681R, T19R, G142D, E156G, T95I | L452R and T478K facilitate antibody escape against the RBD. T19R maps to the NTD supersite, further decreasing antibody interaction in the NTD [ | |
| 6 | - | IND | L452R, D950N, P681R, T19R, E156G, E484Q | Similar to the above-mentioned variants | |||
| 7 | Delta Plus | VOI | IND | K417N, V70F, W258L, E156G, including mutations similar to the Delta variant | K417N reduces antibody binding to the RBD of S protein. Mutations which can also be found in the Delta variant are present in this variant at the higher prevalence and act similarly [ | ||
| 8 | 21D/20A | Eta | VOI | MUL | Q52R, A67V, E484K, Q677H, F888L | Q677H and E484K result in reduced neutralization by various antibody treatments [ | |
| 9 | 21F/20C | Iota | VOI | USA | L5F, T95I, D253G, E484K | Mutations in common with the Beta, Gamma and Delta variants perform similarly | |
| 10 | 21G/20D | Lambda | VOI | PER | G75V, T76I, L452Q, F490S, T859N | L452Q and F490S are on the RBD of the S protein. The former is exclusive to C.37 and is responsible for enhancing the affinity for the ACE2 receptor, while the latter is responsible for decreased neutralization by antibodies [ | |
| 11 | 21H | Mu | VOI | COL | T95I, Y144S, Y145N, R346K, E484K, N501Y, P681H | Mutations that are also found in the previously mentioned Alpha, Beta, Gamma and Delta variants show similar effects as described previously | |
| 12 | 21C | Epsilon | VOI (currently De-escalated) | USA | S13I, W152C, L452R | L452R mutation decreases the activity of multiple RBD specific monoclonal antibodies, while W152C and L452R abrogate the action of the NTD supersite directed antibodies [ | |
| 13 | 20B/S:732A | - | - | MUL | T478K, P681H, T732A | T478K and P681H mutations present in the Delta, Alpha and Gamma variants show similar effects as mentioned before [ | |
| 14 | 20A/S:126A | - | - | MUL | I210T, N440K, E484K, D936N, S939F, T1027I | Further studies are needed | |
| 15 | 20B/S:265C | Theta | Currently De-escalated | PHL | E484K, N501Y, P681H, E1092K, H1101Y, V1176F | One study reported this variant had a high potential to spread among the population owing to its increased immune evasion abilities [ | |
R.1, B.1.466.2, B.1.1.318, B.1.1.319, C.36.3, B.1.214.2, B.1.1.523, B.1.620, C.1.2, B.1.618- are some of the important variants that have also been detected. Some of these variants may not be prevalent anymore; however, further investigations are required to shed some light on their roles and characteristics. All the data have been curated from Outbreak.info, Co-Variants.org, Nexstrain.org, Cov-lineages.org, https://www.who.int/en/activities/tracking-SARS-CoV-2-variants/, and the above-mentioned references
INDEX: COO country of origin, MUL multiple countries, PER Peru, PHL Philippines, COL Colombia, BRA Brazil, RSA Republic of South Africa, IND India, USA United States of America, UK United Kingdom
Fig. 1Worldwide incidence of the B.1.617.2 (Delta) variant as of 7th October 2021 courtesy of Outbreak.info. It has become the most widespread strain of SARS-CoV 2 after its initial detection in India in 2020 (Color figure online)
Fig. 3A The initial target of SARS CoV2 spike protein is the ACE2 receptor, present on the cell surface. After binding to ACE2, Furin cleaves the S protein at R–R–R–R stretch of S1/S2 junction and TMPRSS2 at S2 subunit. This protease cleavage helps the virus to enter the host cell via the endocytic pathway. Subsequently, the viral RNA is recognized by cytosolic RNA sensors such as TLR 7/8, TLR 3, and RIG-I/MDA5 leading to the activation of downstream kinases of the NFκβ signaling pathway. This pathway elicits the production of various pro-inflammatory cytokines including TNFα, IL1β, and IFN-I/III, but gets suppressed by SARS CoV2 components like Nsp8, M protein, ORF3b, and Nsp13. B All the pro-inflammatory cytokines depicted in Fig. 2A induce the activation and cytokine production from other innate immune cells. This uncontrolled cytokine production initiates cytokine storm followed by hyperinflammation and organ damage. Increased cytokine levels also trigger activation and proliferation of adaptive immune cells which further contributes in cytokine storm (Color figure online)
Cytokine profile of COVID-19
| Cytokines | Disease onset | Source | Role in COVID-19 | Refs | |
|---|---|---|---|---|---|
| Week 1–2 | Week 3–4 | ||||
| IL-1β | √ | Macrophages, endothelial cells, activated monocytes | Induces activation of pro-inflammatory cytokines IL-6 and TNF-α; recruits neutrophil and T cells | [ | |
| IL-2 | √ | Th1 cells | Triggers differentiation and survival of Treg cells; takes part in cytokine storm | [ | |
| IL-4 | √ | Mast cells, Th2 cells | Activates macrophages and increases the secretion of TGF-β | [ | |
| IL-5 | √ | NK cells, mast cells, airway smooth muscle cells, epithelial cells, Th2 cells | Eosinophil expansion and activation in severe patients; triggers cytokine storm | [ | |
| IL-6 | √ | Fibroblasts, macrophages, Th2 cells | Accelerates the lung inflammation, fever, and fibrosis; cytokine storm inducer; induces B-cell differentiation | [ | |
| IL-7 | √ | Epithelial cells, dendritic cells | Initiates rapid elevation of lymphocyte count by modulating the effect of IL-6, IL-10, IFN-γ, TNF-α | [ | |
| IL-8 | √ | Endothelial cells, epithelial cells, macrophages, fibroblasts | Promotes neutrophil chemotaxis and angiogenesis | [ | |
| IL-10 | √ | Endothelial cells, macrophages, fibroblasts, Th2 cells | Increased expression with the disease severity which leads to immune suppression | [ | |
| IL-12 | √ | Dendritic cells, macrophages | Regulates maintenance of NK cell numbers; inducer of Th1 cell differentiation | [ | |
| IL-13 | √ | Mast cells, granulocytes, Th2 cells, NK-T cells | Accelerates cytokine storm via macrophage activation | [ | |
| IL-17 | √ | Th17 cells | Downregulates Treg cell response; induces pulmonary inflammation | [ | |
| IL-21 | √ | Tfh, Th2, NK-T cells | Triggers IFN-γ production by dendritic and NK cells; inhibits differentiation to Th1 cell | [ | |
| IL-23 | √ | Macrophages, dendritic cells | Promotes cytokine storm via proliferation of Th17 cells | [ | |
| IL-33 | √ | Macrophages, dendritic cells, pulmonary epithelial cells | Suppressing IFN-γ production by NK cells leads to impaired NK cell responses; inhibits innate antiviral immune response by suppressing TLR7 | [ | |
| IFN-γ | √ | Endothelial cells, macrophages | Downregulates viral replication; triggers cytokine production from T cell; prevents Th2 response; can induce cytokine storm in high levels which leads to organ damage | [ | |
| TNF-α | √ | Endothelial cells, macrophages | Promotes organ damage by accelerating cell death | [ | |
Efficacies of phase 4 vaccines against B.1.1.7 (Alpha) and B.1.617.2 (delta) variant reported in various demographic regions
| Sl. No. | Vaccines | Country/region | Dose | Vaccine efficacy B.1.17 (%) | Vaccine efficacy B.1.617.2 (%) | References |
|---|---|---|---|---|---|---|
| 1 | ChAdOx1 | Canada | 1 | 64 | 67 | [ |
| 2 | BNT162b2 | 1 | 66 | 56 | ||
| BNT162b2 | 2 | 89 | 87 | |||
| 3 | mRNA-1273 | 1 | 83 | 72 | ||
| mRNA-1273 | 2 | 92 | / | |||
| 4 | ChAdOx1 | UK | 1 | 51.1 | 33.5 | [ |
| 5 | BNT162b2 | 1 | 51.1 | 33.5 | ||
| 6 | ChAdOx1 | 2 | 86.8 | 80.6 | ||
| 7 | BNT162b2 | 2 | 93.4 | 87.9 | ||
| 8 | ChAdOx1 | Scotland | 1 | 37 | 18 | [ |
| 9 | BNT162b2 | 1 | 38 | 30 | ||
| 10 | ChAdOx1 | 2 | 73 | 60 | ||
| 11 | BNT162b2 | 2 | 92 | 79 | ||
| 12 | BBV152 | India | 2 | 98.6 | 65.2 | [ |
INDEX:
BNT162b2: Pfizer–BioNTech COVID-19 vaccine
ChAdOx1: Oxford–AstraZeneca COVID-19 vaccine
mRNA-1273: Moderna COVID-19 vaccine
BBV152: Covaxin