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      ALCOHOL METABOLISM CONTRIBUTES TO BRAIN HISTONE ACETYLATION

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          Abstract

          Emerging evidence suggests that epigenetic regulation is dependent on metabolic state, implicating specific metabolic factors in neural functions that drive behavior 1 . In neurons, histone acetylation relies on the metabolite acetyl-CoA that is produced from acetate by chromatin-bound acetyl-CoA synthetase 2 (ACSS2) 2 . Notably, a major source of acetate is via breakdown of alcohol in the liver, leading to rapidly increasing blood acetate 3 . Neuronal histone acetylation may thus be under the influence of alcohol-derived acetate 4 , with potential effects on alcohol-induced brain gene expression and behavior 5 . Here, using in vivo stable isotope labeling in mouse, we show that alcohol metabolism contributes to rapid histone acetylation in the brain in part by direct deposition of alcohol-derived acetyl groups onto histones in an ACSS2-dependent manner. A similar induction was observed with heavy labeled acetate injection in vivo. In a pregnant mouse, exposure to labeled alcohol resulted in incorporation of labeled acetyl groups into gestating fetal brains. In isolated primary hippocampal neurons ex vivo, extracellular acetate induced learning and memory-related transcriptional programs that were sensitive to ACSS2 inhibition. Notably, we showed that alcohol-related associative learning requires ACSS2 in vivo. These findings support a direct link between alcohol metabolism and gene regulation through ACSS2-dependent histone acetylation in the brain.

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          Most cited references29

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          Regulation of chromatin and gene expression by metabolic enzymes and metabolites

          Metabolism and gene expression, which are two fundamental biological processes that are essential to all living organisms, reciprocally regulate each other to maintain homeostasis and regulate cell growth, survival and differentiation. Metabolism feeds into the regulation of gene expression via metabolic enzymes and metabolites, which can modulate chromatin directly or indirectly — through regulation of the activity of chromatin trans-acting proteins, including histone-modifying enzymes, chromatin-remodelling complexes and transcription regulators. Deregulation of these metabolic activities has been implicated in human diseases, prominently including cancer.
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            Correction of 13C mass isotopomer distributions for natural stable isotope abundance.

            Metabolism of singly or multiply 13C-labeled substrates leads to the production of molecules that contain 13C atoms at various positions. Molecules differing only in the number of isotopic atoms incorporated are referred to as mass isotopomers. The distribution of mass isotopomers of many molecules can be measured by gas chromatography/ mass spectrometry after chemical derivatization. Quantification of metabolite mass isotopomer abundance resulting from biological processes necessitates correction of the measured mass isotopomer distribution of the derivatized metabolite for contributions due to naturally occurring isotopes of its elements. This correction must take into account differences in the relative natural abundance distribution of each mass isotopomer (skewing). An IBM-compatible computer program was developed which (i) calculates the natural abundance mass isotopomer distribution of unlabeled and labeled standards given the molecular formula of the derivatized molecule or fragment ion, and (ii) calculates the natural abundance mass isotopomer distribution of the singly and multiply labeled molecule or fragment via non-linear fitting to the measured mass isotopomer distribution of the unlabeled molecule or fragment. The output of this program is used to correct measured mass isotopomer distributions for contributions from natural isotope abundances and to verify measured values for theoretical consistency. Differences between predicted and measured unlabeled and 13C-labeled isotopomer distributions for hydroxamate di-t-butyl-dimethylsilyl (di-TBDMS) derivatized pyruvate were measured. The program was applied to the mass isotopomer distribution of glucose labeled from [U-13C3]glycerol and of fatty acids labeled from [U-13C6]glucose and either [2-13C2] acetate or [U-13C2]acetate. In some of these cases, the measured mass isotopomer distributions corrected by the program were different from those corrected by the classical technique. Implications of these differences including those on the calculation of glucose production due to gluconeogenesis in isolated perfused rat liver are discussed.
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              Drug-induced conditioned place preference and aversion in mice.

              This protocol describes the equipment and methods used to establish conditioned place preference (CPP) or aversion (CPA). Place conditioning is a form of Pavlovian conditioning routinely used to measure the rewarding or aversive motivational effects of objects or experiences (e.g., abused drugs). Here, we present a place conditioning procedure that has been used extensively to study the motivational effects of ethanol and other abused drugs in mice. This protocol involves three phases: (i) habituation (or a pretest), (ii) conditioning of an association between the drug and a tactile or visual stimulus and (iii) a test that offers a choice between the drug-associated cue and a neutral cue. If the drug has motivational significance, mice will spend significantly more time (CPP) or less time (CPA) in proximity to the drug-associated cue. Potential problems in the design and interpretation of place conditioning studies are discussed. A typical experiment lasts 2 weeks.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                24 October 2019
                23 October 2019
                October 2019
                23 April 2020
                : 574
                : 7780
                : 717-721
                Affiliations
                [1 ] Epigenetics Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States
                [2 ]Icahn School of Medicine at Mount Sinai, Fishberg Department of Neuroscience, New York, NY, United States
                [3 ]Current affiliation: Department of Biochemistry, Albert Einstein College of Medicine, New York, NY, United States
                Author notes
                [*]

                authors contributed equally

                Author Contributions

                P.M. and S.L.B. developed the primary hypothesis. P.M., G.E. and S.L.B. designed the project. P.M. and G.E. performed most of the experiments. P.M. planned the d6-EtOH labeling mass spectrometry, performed together with R.N., G.E., and S.S.. G.E. and S.S. performed the d3-acetate labeling mass spectrometry. The RNA-seq was performed in vivo by P.M. and in vitro by G.E., with support from R.N.. R.N. conducted the ChIP-seq. G.D. analysed all ChIP-seq and RNA-seq datasets. G.E., S.I.L., D.C.A. and E.A.H. performed the behavioral characterization. P.M. performed the labeling experiments for metabolomic analysis. The fetal alcohol labeling was done by G.E., with support from S.L.R.. P.M., G.E., and S.L.B. wrote the manuscript. All authors reviewed the manuscript and discussed the work.

                [# ] Corresponding authors Correspondence should be addressed to Shelley Berger ( bergers@ 123456pennmedicine.upenn.edu ) and Gabor Egervari ( egervari@ 123456pennmedicine.upenn.edu ).
                Article
                NIHMS1540215
                10.1038/s41586-019-1700-7
                6907081
                31645761
                253f055a-2bcc-446e-a439-a636d0299a99

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