The effects of caffeic acid, a major phenolic compound of the diet, on oxidative stress and cholesterolemia are studied in rats submitted to oxidative stress by iron overload. Male Wistar rats were fed semi-synthetic diets containing regular (50 mg/kg diet) or high (2000 mg/kg) doses of iron with and without caffeic acid (6460 mg/kg) for 4 weeks. The high doses of iron induced an increase of lipid oxidation in the liver, as measured by thiobarbituric acid-reactive substances (TBARS), and an increase of cholesterolemia. Caffeic acid fully prevented the pro-oxidant effects of high iron doses (p < 0.001). It also reduced lipid peroxidation in rats fed the low iron dose (p < 0.05). Caffeic acid also increased vitamin E levels in plasma (2.74 micromol/L to 4.09 micromol/L for normal diet; p < 0.001; 2.78 micromol/L to 4.94 micromol/L for iron supplemented diet p < 0.001). Iron-induced hypercholesterolemia was inhibited by caffeic acid (1.07 g/L to 0.82 g/L; p < 0.001). These results demonstrate the antioxidative capacity of caffeic acid, a highly bioavailable polyphenol, in an in vivo model of oxidative stress.
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http://dx.doi.org/10.1024/0300-9831.75.2.119 | DOI Listing |
Prostate
January 2025
Radiation and Cancer Therapeutics Lab, School of Life Sciences, Jawaharlal Nehru University, New Delhi, India.
Background: Caffeic acid (CA), a dietary compound, has been studied for its potential impact on inhibiting prostate cancer (PCa) growth. PCa is often associated with heightened expression of glyoxalase-1 (Glo-1), making it a target for potential therapeutic interventions. CA's mechanisms in suppressing Glo-1 expression and its effects on PCa cell proliferation are areas of interest for understanding its potential as an anticancer agent.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
School of Mechanical Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment Technology, Jiangnan University, Wuxi, Jiangsu 214122, China.
The antioxidant activity of ε-polylysine (EPL) can be enhanced by grafting phenolic compound caffeic acid (CA) onto its amino groups. To enhance the antioxidant activity of EPL, this study synthesized caffeic acid-ε-polylysine conjugate (CA-EPL) by grafting CA onto EPL using carbodiimide coupling reaction. Fourier transform infrared spectroscopy, H nuclear magnetic resonance (NMR) spectroscopy confirmed the successful conjugation of caffeic acid and ε-polylysine.
View Article and Find Full Text PDFVirol Sin
December 2024
College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China. Electronic address:
Traditional Chinese medicine has unique advantages in preventing and treating COVID-19, and Fuzheng Jiedu decoction (FZJDD) was reported to be effective against COVID-19 in clinical trials. To investigate the potential mechanisms and material basis of FZJDD against SARS-CoV-2, we performed SARS-CoV-2 target protein inhibition analyses and a metabolite full spectrum analysis of FZJDD. Interestingly, FZJDD was found to block the binding of SARS-CoV-2 Spike protein with the receptor ACE2 and inhibit the activity of SARS-CoV-2 3CLpro.
View Article and Find Full Text PDFInt J Pharm
December 2024
Guangdong Provincial Key Lab of Green Chemical Product Technology, School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510640, China. Electronic address:
Investigating the formation mechanism and effective manipulation of multi-component crystal polymorphs is crucial for facilitating industrial drug development. Herein, five novel Osimertinib-caffeic acid forms were first strategically tailored by varying solvent selection. Theoretical analysis demonstrated this polymorphism is correlated with multiple hydrogen bond donors-acceptors within multi-component system, which provides manipulation space for reconfiguration of intermolecular interactions and structural competition, while solvent further induced or involved in hydrogen-bonded rearrangements.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Pharmacy Services, Vocational School of Health Services, Osmaniye Korkut Ata University, Osmaniye, Turkey.
In this work, artificial neural network coupled with multi-objective genetic algorithm (ANN-NSGA-II) has been used to develop a model and optimize the conditions for the extracting of the Mentha longifolia (L.) L. plant.
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