Astragaloside IV (ASIV) is the main active component of , and can ameliorate cardiomyocyte hypertrophy, apoptosis and fibrosis. In this experiment, we studied how ASIV reduces the cardiotoxicity caused by adriamycin and protects the heart. To this end, rats were randomly divided into the control, ADR, ADR + ASIV and ASIV groups ( = 6). Echocardiography was used to observe cardiac function, HE staining was used to observe myocardial injury, TUNEL staining was used to observe myocardial cell apoptosis, and immunofluorescence and Western blotting was used to observe relevant proteins expression. Experiments have shown that adriamycin can damage heart function in rats, and increase the cell apoptosis index, autophagy level and oxidative stress level. Further results showed that ADR can inhibit the PI3K/Akt pathway. ASIV treatment can significantly improve the cardiac function of rats treated with ADR and regulate autophagy, oxidative stress and apoptosis. Our findings indicate that ASIV may reduce the heart damage caused by adriamycin by activating the PI3K/Akt pathway.
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http://dx.doi.org/10.3389/fphar.2021.669782 | DOI Listing |
Proc Natl Acad Sci U S A
February 2025
Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu 610041, People's Republic of China.
Carrier-free nanomedicines exhibited significant potential in elevating drug efficacy and safety for tumor management, yet their self assembly typically relied on chemical modifications of drugs or the incorporation of surfactants, thereby compromising the drug's inherent pharmacological activity. To address this challenge, we proposed a triethylamine (TEA)-mediated protonation-deprotonation strategy that enabled the adjustable-proportion self assembly of dual drugs without chemical modification, achieving nearly 100% drug loading capacity. Molecular dynamic simulations, supported by experiment evidence, elucidated the underlying self-assembly mechanism.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
February 2025
Pediatric Surgical Research Laboratories, Massachusetts General Hospital, Boston, MA 02114.
Anti-Müllerian hormone (AMH) protects the ovarian reserve from chemotherapy, and this effect is most pronounced with Doxorubicin (DOX). However, DOX toxicity and AMH rescue mechanisms in the ovary have remained unclear. Herein, we characterize the consequences of these treatments in ovarian cell types using scRNAseq.
View Article and Find Full Text PDFFront Mol Biosci
January 2025
Department of Medicinal Chemistry, College of Pharmacy, University of Sharjah, Sharjah, United Arab Emirates.
Background: Breast cancer is one of the most prevalent malignancies and a leading cause of death among women worldwide. Among its subtypes, triple-negative breast cancer (TNBC) poses significant clinical challenges due to its aggressive behavior and limited treatment options. This study aimed to investigate the effects of doxorubicin (DOX) and 5-fluorouracil (5-FU) as monotherapies and in combination using an established MDA-MB-231 xenograft model in female BALB/C nude mice employing advanced metabolomics analysis to identify molecular alterations induced by these treatments.
View Article and Find Full Text PDFDermatol Surg
January 2025
All authors are affiliated with the Department of Dermatology, University of Health Sciences, Gulhane Medical Faculty, Ankara, Türkiye.
Pharmacol Res Perspect
February 2025
Department of Pharmaceutical Health Care and Sciences, Tokyo University of Pharmacy and Life Sciences, Tokyo, Japan.
Doxorubicin (DOXO) has long been used clinically and remains a key drug in cancer therapy. DOXO-induced cardiomyopathy (DICM) is a chronic and fatal complication that severely limits the use of DOXO. However, there are very few therapeutic agents for DICM, and there is an urgent need to identify those that can be used for a larger number of patients.
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