Our previous studies showed that silent mating-type information regulation 2 homologue-1 (SIRT1, a deacetylase) upregulation could attenuate sepsis-induced acute kidney injury (SAKI). Upregulated SIRT1 can deacetylate certain autophagy-related proteins (Beclin1, Atg5, Atg7 and LC3) in vitro. However, it remains unclear whether the beneficial effect of SIRT1 is related to autophagy induction and the underlying mechanism of this effect is also unknown. In the present study, caecal ligation and puncture (CLP)-induced mice, and an LPS-challenged HK-2 cell line were established to mimic a SAKI animal model and a SAKI cell model, respectively. Our results demonstrated that SIRT1 activation promoted autophagy and attenuated SAKI. SIRT1 deacetylated only Beclin1 but not the other autophagy-related proteins in SAKI. SIRT1-induced autophagy and its protective effect against SAKI were mediated by the deacetylation of Beclin1 at K430 and K437. Moreover, two SIRT1 activators, resveratrol and polydatin, attenuated SAKI in CLP-induced septic mice. Our study was the first to demonstrate the important role of SIRT1-induced Beclin1 deacetylation in autophagy and its protective effect against SAKI. These findings suggest that pharmacologic induction of autophagy via SIRT1-mediated Beclin1 deacetylation may be a promising therapeutic approach for future SAKI treatment.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910451 | PMC |
http://dx.doi.org/10.1038/s41419-021-03508-y | DOI Listing |
J Cosmet Dermatol
December 2024
Department of Dermatology, Molecular Dermatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Introduction: Melasma, also known as chloasma, is a common skin disorder characterized by acquired hyperpigmentation. Many patients with this condition prefer using herbal remedies instead of chemical agents. This study aims to review clinical trials conducted on the effectiveness of herbal remedies in treating melasma.
View Article and Find Full Text PDFBMC Womens Health
December 2024
Department of Epidemiology and Biostatistics, School of Health, Mashhad University of Medical sciences, Mashhad, Iran.
BMC Infect Dis
December 2024
Department of Intensive Care Medicine, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China.
Background: Predicting mortality in sepsis-related acute kidney injury facilitates early data-driven treatment decisions. Machine learning is predicting mortality in S-AKI in a growing number of studies. Therefore, we conducted this systematic review and meta-analysis to investigate the predictive value of machine learning for mortality in patients with septic acute kidney injury.
View Article and Find Full Text PDFIran Biomed J
December 2024
Thalassemia and Hemoglobinopathy Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
ACS Biomater Sci Eng
December 2024
Department of Nephrology, Institute of Kidney Diseases, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China.
Sepsis is a severe and complex systemic infection that can result in multiple organ dysfunction. Sepsis-associated acute kidney injury (SAKI), caused by inflammatory response, oxidative stress, and cellular apoptosis, is a common complication that seriously impacts patient survival rates. Herein, a potent and novel metal-polyphenol nanomicelle can be efficiently self-assembled with Pt and honokiol (HK) by the chelation, π-π conjugation, hydrophobic action, and the surfactant properties of Tween-80.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!