The aqueous root extract of Withania somnifera ameliorates LPS-induced inflammatory changes in the in vitro cell-based and mice models of inflammation

Phulwanti Kumari Sharma, Lokesh Kumar, Yamini Goswami, Mukta Pujani,Madhu Dikshit,Ruchi Tandon

Frontiers in Pharmacology(2023)

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摘要
Introduction: Most critically ill COVID-19 patients have bronchitis, pneumonia, and acute respiratory distress syndrome (ARDS) due to excessive inflammatory conditions. Corticosteroids have largely been prescribed for the management of inflammation in these patients. However, long-term use of corticosteroids in patients with comorbidities such as metabolic, cardiovascular, and other inflammatory disorders is ideally not recommended due to safety issues. A potential and safer anti-inflammatory therapy is therefore the need of the hour. Withania somnifera (WS), a well-known herbal medicine used during the pandemic in India to prevent SARS-CoV2 infection, also possesses anti-inflammatory properties.Methods: In the present study, we, therefore, evaluated the effect of the aqueous extract of the roots of W. somnifera in the cell-based assays and in the experimental animal models of LPS-induced inflammation.Results: In the NCI-H460, A549 cells and human peripheral blood mononuclear cells (PBMCs) pre-treatment with W. somnifera reduced the LPS-induced expression of the pro-inflammatory cytokines. In addition, W. somnifera extract also showed potent anti-inflammatory activity in the lung tissues of BALB/c mice challenged intranasally with LPS. We observed a marked reduction in the neutrophil counts in the broncho-alveolar lavage (BAL) fluid, inflammatory cytokines, and fibrosis in the mice lungs pre-treated with W. somnifera. Results obtained thus suggest the potential utility of W. somnifera extract in reducing airway inflammation and recommend the clinical evaluation of W. somnifera extract in COVID-19 patients with a high propensity for lung inflammation.
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withania somnifera,inflammation,aqueous root extract,inflammatory changes,lps-induced,cell-based
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