MedElevator Войти в исследования
← Поиск публикаций

DOI 10.18632/aging.205033

Медицинская библиотека · Aging · 2023

Exploring anti-acute kidney injury mechanism of Dahuang-Gancao decoction by network pharmacology and experimental validation.

Wang Rui, An Yi, Xu Yifang, Li Chengyin, Wang Qiyuan, Zou Yinshui, Wang Guangzhi

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

This study aimed to investigate the pharmacological effects and molecular mechanisms of Dahuang-Gancao Decoction (DHGC) on acute kidney injury (AKI). Network pharmacology was utilized to analyze the key targets of DHGC against AKI. These targets were used to construct a protein-protein interaction (PPI) network, which was analyzed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment to predict the mechanism of action. Based on the network pharmacological analysis, Sirtuin 3 (SIRT3) was identified as a key target, and apoptosis was suggested as a mechanism of DHGC for AKI treatment. Subsequently, an AKI mouse model was induced using lipopolysaccharide (LPS), and the study demonstrated that DHGC gradient intervention significantly reduced plasma urea and creatinine levels in AKI mice, ameliorated renal pathological changes, reduced apoptosis, and lowered serum inflammatory factors. The mechanism of DHGC's anti-AKI effect may lie in the activation of the SIRT3/NRF2/HO-1 signaling pathway, which plays an antiapoptotic role in renal cells. In summary, DHGC improved LPS-induced AKI in mice by activating the SIRT3/NRF2/HO-1 signaling pathway. These findings shed light on the potential clinical application of DHGC for the treatment of nephropathy.

Для цитирования: Wang Rui, An Yi, Xu Yifang, Li Chengyin, Wang Qiyuan, Zou Yinshui, Wang Guangzhi. Exploring anti-acute kidney injury mechanism of Dahuang-Gancao decoction by network pharmacology and experimental validation.. Aging. 2023. DOI: 10.18632/aging.205033.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.