| Literature DB >> 36113631 |
Amul S Bahl1, Vipin Kumar Verma2, Jagriti Bhatia2, Dharamvir Singh Arya3.
Abstract
Currently, there are no FDA approved antiviral drugs available to treat COVID-19 patients. Also, due to emergence of new SARS-CoV-2 variants, the protective efficacy of vaccines could be reduced, hence it is urgent to have alternative treatments for combating the SARS-CoV-2 infection. Since, there is a long-standing history of herbal medicine in the treatment of respiratory diseases. In the present study, we investigated two polyherbal oil blend viz. Sudarshan AV and Elixir AV (SAV and EAV) in inhibiting SARS-COV-2. From GC-MS analysis of polyherbal oils (SAV and EAV) a total of 11 active compounds were selected, on the basis of their abundance and activity. Further, from the molecular docking studies, we found an inhibitory effect of these compounds on viral envelope and membrane, spike proteins whilst an agonistic effect with human host receptor angiotensin-converting enzyme 2 (ACE2) implicating the crucial role of the individual compound in resistance of SARS-CoV-2. Since, the in-silico results suggest that polyherbal oil (SAV and EAV) contributes in preventing the entry of SARS-CoV-2 into the human body, we further investigated the efficacy of polyherbal formulated essential oil (FEO; SAV & EAV) in prevention and treatment of COVID-19 in hamster model. The male golden Syrian hamsters (n = 23) were divided into 5 groups i.e., Group 1: Control (n = 3); Group 2: Infected (n = 5); Group 3: Infected + Remdesivir (n = 5); Group 4: Infected + FEO (n = 5) and Group 5: Prophylactic FEO + Infected (n = 5). In both treatment and prophylactic groups, the FEO's significantly reduced the lung injury investigated histo-pathologically and viral load expression measured by real time PCR in comparison to infected hamsters. Furthermore, cytokines expression analysis clearly highlighted the efficacy of FEO's due to its anti-inflammatory activity and overall protection in treatment groups. In conclusion, the FEO (SAV & EAV) seem to be potent in both prevention and treatment of COVID-19 and related lung injury.Entities:
Keywords: Anti-inflammatory; COVID-19; GC-MS; Molecular docking; Polyherbal oil; Therapeutics
Mesh:
Substances:
Year: 2022 PMID: 36113631 PMCID: PMC9472470 DOI: 10.1016/j.cbi.2022.110179
Source DB: PubMed Journal: Chem Biol Interact ISSN: 0009-2797 Impact factor: 5.168
Residues used as binding site for molecular docking.
| Protein | Binding site residues |
|---|---|
| Envelope protein (CASTp predicted) | Leu 34, Thr35, Leu 51, Val 52, Phe 56, Val 58, Leu 74, Val 75 |
| Membrane protein (CASTp predicted) | Leu 102, Arg 05, Thr106, Arg 107, Val 122, Pro 123, Leu 124, Leu 129, Leu 133, Ser 136, Ile 168, Val 170, Tyr178, Tyr179, Lys 180, Gly 182, Ala 183, Ser 184 |
| Spike protein | Receptor binding domain (amino acids- 437–503) |
| ACE2 | Ser 19, Gln 24, Thr27, Phe 28, Asp 30, Lys 31, His 34, Glu 35, Glu 37, Asp 38, Tyr41, Leu 45, Leu 79, Met 82, Tyr83, Asn 330, Lys 353, Gly 354, Asp 355, Arg 357, Arg393 |
Fig. 1An illustrative flow diagram showing the methodology.
Molecular docking of compounds with target proteins.
| S.No. | Ligands | Envelope protein | Membrane protein | Spike protein | ACE2 |
|---|---|---|---|---|---|
| 1. | Cinnamaldehyde | −5.75 | −20.25 | −25.87 | −30.66 |
| 2. | Eucalyptol | −15.09 | −21.98 | NA | −12.17 |
| 3. | Eugenol | −17.87 | −24.58 | −22.04 | −26.87 |
| 4. | −12.40 | −18.53 | −14.32 | −25.28 | |
| 5. | Trans-Beta-Ocimene | −25.86 | −23.97 | −16.62 | −22.76 |
| 6. | Limonene | −14.95 | −18.33 | −17.87 | −23.60 |
| 7. | Bicyclo (4.1.0) Hept-3-ene 3,7,7 Trimethyl | −21.70 | −20.27 | −17.30 | −15.75 |
| 8. | −19.83 | −20.85 | −18.20 | −24.67 | |
| 9. | −19.86 | −24.31 | −18.55 | −22.21 | |
| 10. | Thymol | −18.65 | −24.91 | −19.79 | −28.22 |
| 11. | Geranial | −18.36 | −22.44 | −22.99 | −30.59 |
| 12. | – | – | −30.85 ( | −12.71 (metformin) |
**binding energy values (in kcal/mol) of protein-ligand complexes.
Fig. 2Diagrammatic representation of docked complexes along with ligand interaction maps (within 0.5 nm).
Fig. 3(A) Body weight at the beginning and the end of the experiment; (B) Percent change in body weight w.r.t. initial weight at the time of challenge. I [Infected]; I + R [Infected + Remdesivir]; I + FEO [Infected + Formulated Essential Oil]; I + PFEO [Infected + Prophylactic Formulated Essential Oil].
Fig. 4Lung tissue and histopathology from each group: (A) Control; (B) I, [Infected]; (C) I + R, [Infected + Remdesivir]; (D) I + FEO [Infected + Formulated Essential Oil]; (E) I + PFEO (Infected + Prophylactic Formulated Essential Oil). 1. Dissected lung; 2. Pathological changes in lung parenchymal tissue; 3. Microscopic changes of the bronchiolar epithelium, lumen, submucosa, and peribronchiolar region. Red arrow indicate lung injury; Black arrows indicate inflammation; Green arrow indicate alveolar epithelial injury and Blue arrow indicate pneumonitis; in the histological images from respective groups.
Fig. 5Histopathological scores (grades 0 to 3, where 0 is no damage and 3 is the most damaged showing (A). Lung injury; (B). Lung inflammation; (C). Alveolar epithelial injury and (D). Pneumonitis in lung tissue from each respective groups. I [Infected]; I + R [Infected + Remdesivir]; I + FEO [Infected + Formulated Essential Oil]; I + PFEO [Infected + Prophylactic Formulated Essential Oil].
Fig. 6Histopathological disease scores in lung tissue from respective group. I [Infected]; I + R [Infected + Remdesivir]; I + FEO [Infected + Formulated Essential Oil]; I + PFEO [Infected + Prophylactic Formulated Essential Oil].
Fig. 7A. Dissected Spleen a) Control; (b) I [Infected]; (c) I + R [Infected + Remdesivir]; (d) I + FEO [Infected + Formulated Essential Oil]; (e) I + PFEO (Infected + Prophylactic Formulated Essential Oil). B. Viral load of respective groups. Different esterics indicate statistically significant differences * vs Control; # vs Infected.
Fig. 8Real-time qPCR expressions of IL-17A (A), IFNγ (B) and IL-4 (C) Cytokines in spleen tissue of experimental groups. Data is expressed as (mean ± SEM). Different esterics indicate statistically significant differences * vs Control; #vs Infected. */#P < 0.05; ##P < 0.01; ***/###P < 0.001.