Stochastic Compressible Navier–Stokes Equations Under Location Uncertainty - Inria - Institut national de recherche en sciences et technologies du numérique
Book Sections Year : 2024

Stochastic Compressible Navier–Stokes Equations Under Location Uncertainty

Abstract

Unlabelled - Prevention from disease is presently the cornerstone of the fight against COVID-19. With the rapid emergence of novel SARS-CoV-2 variants, there is an urgent need for novel or repurposed agents to strengthen and fortify the immune system. Existing vaccines induce several systemic and local side-effects that can lead to severe consequences. Moreover, elevated cytokines in COVID-19 patients with cancer as co-morbidity represent a significant bottleneck in disease prognosis and therapy. (WS) and its phytoconstituent(s) have immense untapped immunomodulatory and therapeutic potential and the anticancer potential of WS is well documented. To this effect, WS methanolic extract (WSME) was characterized using HPLC. Withanolides were identified as the major phytoconstituents. In vitro cytotoxicity of WSME was determined against human breast MDA-MB-231 and normal Vero cells using MTT assay. WSME displayed potent cytotoxicity against MDA-MB-231 cells (IC: 66 µg/mL) and no effect on Vero cells in the above range. MD simulations of Withanolide A with SARS-CoV-2 main protease and spike receptor-binding domain as well as Withanolide B with SARS-CoV spike glycoprotein and SARS-CoV-2 papain-like protease were performed using Schrödinger. Stability of complexes followed the order 6M0J-Withanolide A > 6W9C-Withnaolide B > 5WRG-Withanolide B > 6LU7-Withanolide A. Maximum stable interaction(s) were observed between Withanolides A and B with SARS-CoV-2 and SARS-CoV spike glycoproteins, respectively. Withanolides A and B also displayed potent binding to pro-inflammatory markers viz. serum ferritin and IL-6. Thus, WS phytoconstituents have the potential to be tested further in vitro and in vivo as novel antiviral agents against COVID-19 patients having cancer as a co-morbidity. Supplementary information - The online version contains supplementary material available at 10.1007/s40203-023-00184-y.
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hal-04356221 , version 1 (10-04-2024)

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Gilles Tissot, Étienne Mémin, Quentin Jamet. Stochastic Compressible Navier–Stokes Equations Under Location Uncertainty. Stochastic Transport in Upper Ocean Dynamics II, 11, Springer Nature Switzerland, pp.293-319, 2024, Mathematics of Planet Earth, ⟨10.1007/978-3-031-40094-0_14⟩. ⟨hal-04356221⟩
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