MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1016/j.bbrc.2020.07.128

Медицинская библиотека · Biochemical and biophysical research communications · 2020

Riociguat ameliorates kidney injury and fibrosis in an animal model.

Sravani Seereddy, Saifi Mohd Aslam, Godugu Chandraiah

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

Chronic kidney disease (CKD) is one of the greatest health burdens with an increasing global prevalence. Renal fibrosis (RF) is the hallmark of all forms of CKD which shows a strong positive correlation with severity of the disease. However, there are no therapeutic options available for treatment of RF. In the present study, we used an animal model based on unilateral ureteral obstruction (UUO), for renal injury and fibrosis. The UUO animals were treated with soluble guanylyl cyclase (sGC) stimulator, riociguat (RIO) (1, 3 and 10 mg/kg) to investigate its possible renoprotective effects. Kidneys of animals treated with RIO were found to show less abnormalities as compared to UUO control. Further, the levels of proinflammatory cytokines were reduced in RIO treated group. Furthermore, administration of RIO reduced expression of collagen-1, TGF-β, CTGF, α-SMA, vimentin along with transcription factors including Snail and Slug. The results of the present study provided strong evidence to support the antifibrotic activity of RIO.

Для цитирования: Sravani Seereddy, Saifi Mohd Aslam, Godugu Chandraiah. Riociguat ameliorates kidney injury and fibrosis in an animal model.. Biochemical and biophysical research communications. 2020. DOI: 10.1016/j.bbrc.2020.07.128.

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.