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      Glucuronide metabolites of trans-ε-viniferin decrease triglycerides accumulation in an in vitro model of hepatic steatosis

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          Abstract

          Trans-ε-viniferin, a resveratrol dimer found mainly in grapevine wood, has shown protective capacities against hepatic steatosis in vivo. Nevertheless, this compound is very poorly bioavailable. Thus, the aim of the present study is to determine the potential anti-steatotic properties of 1 and 10 µM of trans-ε-viniferin and its four glucuronide metabolites in AML-12 cells treated with palmitic acid as an in vitro model of hepatic steatosis. The effect of the molecules in cell viability and triglyceride accumulation, and the underlying mechanisms of action by Real-Time PCR and Western Blot were analysed, as well as the quantification of trans-ε-viniferin and the identified bioactive metabolite inside cells and their incubation media. Interestingly, we were able to determine the triglyceride-lowering property of one of the glucuronides ( trans-ε-viniferin-2-glucuronide), which acts on de novo lipogenesis, fatty acid uptake and triglyceride assembly. The glucuronides of trans-ε-viniferin would therefore be partly responsible for the in vivo observed anti-steatotic properties of the parent compound.

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          Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

          The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
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            Differential expression analysis for sequence count data

            High-throughput sequencing assays such as RNA-Seq, ChIP-Seq or barcode counting provide quantitative readouts in the form of count data. To infer differential signal in such data correctly and with good statistical power, estimation of data variability throughout the dynamic range and a suitable error model are required. We propose a method based on the negative binomial distribution, with variance and mean linked by local regression and present an implementation, DESeq, as an R/Bioconductor package.
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              A Rapid and Sensitive Method for the Quantitation of Microgram Quantities of Protein Utilizing the Principle of Protein-Dye Binding

                Author and article information

                Contributors
                itziar.eseberri@ehu.eus
                Journal
                J Physiol Biochem
                J Physiol Biochem
                Journal of Physiology and Biochemistry
                Springer Netherlands (Dordrecht )
                1138-7548
                1877-8755
                31 July 2024
                31 July 2024
                2024
                : 80
                : 3
                : 685-696
                Affiliations
                [1 ]UMR 1366, Univ. Bordeaux, Bordeaux INP, INRAE, ISVV, 33140 Villenave d’Ornon, OENO France
                [2 ]GRID grid.434203.2, ISNI 0000 0001 0659 4135, UMR 1366, , Bordeaux Sciences Agro, Bordeaux INP, INRAE, ISVV, ; 33170 Gradignan, OENO France
                [3 ]INSERM U1312, Bordeaux Institute of Oncology - BRIC, BioGo Team, Bordeaux, France
                [4 ]Service de Biologie Des Tumeurs Et Tumorothèque, CHU de Bordeaux, ( https://ror.org/01hq89f96) Bordeaux, France
                [5 ]Centre Antipoison Et de Toxicovigilance de Nouvelle Aquitaine, Bâtiment UNDR, CHU de Bordeaux, ( https://ror.org/01hq89f96) 33076 Bordeaux, France
                [6 ]Nutrition and Obesity Group, Department of Pharmacy and Food Sciences, Faculty of Pharmacy, University of Basque Country (UPV/EHU) and Lucio Lascaray Research Centre, 01006 Vitoria-Gasteiz, Spain
                [7 ]Bioaraba Health Research Institute, 01009 Vitoria-Gasteiz, Spain
                [8 ]CIBEROBN Physiopathology of Obesity and Nutrition, Institute of Health Carlos III (ISCIII), ( https://ror.org/00ca2c886) 28029 Madrid, Spain
                Author information
                http://orcid.org/0000-0003-3238-5251
                http://orcid.org/0000-0001-6509-8772
                http://orcid.org/0000-0002-0996-7133
                http://orcid.org/0000-0002-5308-8697
                http://orcid.org/0000-0001-5036-963X
                http://orcid.org/0000-0003-2290-592X
                Article
                1035
                10.1007/s13105-024-01035-w
                11502592
                39085719
                1dae1087-5086-4317-a9cb-a00897933896
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 5 November 2023
                : 10 July 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003451, Euskal Herriko Unibertsitatea;
                Award ID: IT1482-22
                Funded by: FundRef http://dx.doi.org/10.13039/501100004587, Instituto de Salud Carlos III;
                Award ID: CB12/03/30007
                Funded by: FundRef http://dx.doi.org/10.13039/501100006251, Université de Bordeaux;
                Award ID: the "Consortium Trans-Pyrénéen de Recherches sur l'Obésité et le Diabète"
                Award ID: the "Nutrition Méditerranéenne et Santé"
                Award ID: "Initiative d’Excellence"
                Funded by: Universidad del País Vasco
                Categories
                Original Article
                Custom metadata
                © University of Navarra 2024

                trans-ε-viniferin,resveratrol dimer,glucuronide metabolites,aml-12-hepatocytes,liver steatosis

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