Resveratrol (Res) was previously reported to be capable of lowering plasma TC and LDL-C. The mechanism behind Res is not clearly understood, although it is presumed to have an effect on bile acid metabolism in the liver: a significant way in eliminating cholesterol from the body. As one of the major metabolites of Res in the liver, resveratrol glucuronides (Gres) is suspected to also contribute to the overall cholestrol-lowering activity of Res, which needs to be studied. In this research, when HepG2 steatosis hepatic cells were treated with Res and Gres at different concentration levels, Res and Gres showed similar activity in lowering cellular TC content. The presence of Res and Gres caused a significant increase in hepatic CYP7A1 and BSEP, indicating the increase in the synthesis and efflux of bile acids, respectively. The reduction of HMG-CoAR tied to a decrease in de novo synthesis of cholesterol and the increase of ABCG5 suggested the increase of direct efflux of cholesterol. All above variations reduced the hepatic cholesterol level, which triggered the significant enhancement of LDLR, illustrating the improvement of clearance of LDL-C from the plasma and prevention of atherosclerosis. Overall, this study demonstrated both Res and Gres might have capabilities in lowering hepatic cholesterol through increasing in the synthesis and efflux of bile acids, and decreasing in synthesis and increasing in the efflux of cholesterol. Gres would have preferred potential than Res because of its lower cytotoxicity, which indicated that the action of the metabolites should also be considered in the future studies.
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http://dx.doi.org/10.1111/1750-3841.13528 | DOI Listing |
Environ Sci Pollut Res Int
October 2024
Department of Water Engineering, University of Tabriz, Tabriz, Iran.
Soil temperature (ST) stands as a pivotal parameter in the realm of water resources and irrigation. It serves as a guide for farmers, enabling them to determine optimal planting and fertilization timings. In the backdrop of regions like Iran, where water resources are scarce, a proficient and economical prediction model for ST, particularly at lower depths, becomes imperative.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
August 2024
Groundwater Research Group (GRES), Research Institute On Mines and Environment (RIME), Université du Québec en Abitibi-Témiscamingue (UQAT), Amos, Québec, Canada.
The critical role of groundwater in meeting diverse needs, including drinking, industrial, and agricultural, highlights the urgency of effective resource management. Excessive groundwater extraction, especially in coastal regions including Urmia Plain in NW Iran, disrupts the equilibrium between freshwater and saline boundaries within aquifers. Influential parameters governing seawater intrusion-groundwater occurrence (G), aquifer hydraulic conductivity (A), the height of groundwater level above the mean sea level (L), distance from the shore (D), impact of the existing status of seawater intrusion (I), and thickness of the saturated aquifer (T)-merge to shape the GALDIT vulnerability index for coastal aquifers.
View Article and Find Full Text PDFACS Nano
June 2024
Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, United States.
Direct detection of circularly polarized light (CPL) holds great promise for the development of various optical technologies. Chiral 2D organic-inorganic halide perovskites make it possible to fabricate CPL-sensitive photodetectors. However, selectively detecting left-handed circularly polarized (LCP) and right-handed circularly polarized (RCP) light remains a significant challenge.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
December 2023
Department of Geography and Spatial Sciences, University of Delaware, Newark, DE, USA.
Water quality variables, including chlorophyll-a (Chl-a), play a pivotal role in comprehending and evaluating the condition of aquatic ecosystems. Chl-a, a pigment present in diverse aquatic organisms, notably algae and cyanobacteria, serves as a valuable indicator of water quality. Thus, the objectives of this study encompass: (1) the assessment of the predictive capabilities of four deep learning (DL) models - namely, recurrent neural network (RNN), long short-term memory (LSTM), gated recurrence unit (GRU), and temporal convolutional network (TCN) - in forecasting Chl-a concentrations; (2) the incorporation of these DL models into ensemble models (EMs) employing genetic algorithm (GA) and non-dominated sorting genetic algorithm (NSGA-II) to harness the strengths of each standalone model; and (3) the evaluation of the efficacy of the developed EMs.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
September 2023
Groundwater Research Group (GRES), Research Institute on Mines and Environment (RIME), Université du Québec en Abitibi-Témiscamingue (UQAT), Amos, Québec, Canada.
Chennai, the capital city of Tamil Nadu in India, has experienced several instances of severe flooding over the past two decades, primarily attributed to persistent heavy rainfall. Accurate mapping of flood-prone regions in the basin is crucial for the comprehensive flood risk management. This study used the GIS-MCDA model, a multi-criteria decision analysis (MCDA) model that incorporated geographic information system (GIS) technology to support decision making processes.
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