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https://hdl.handle.net/10316/100338
Title: | Caffeine intake exerts dual genome-wide effects on hippocampal metabolism and learning-dependent transcription | Authors: | Paiva, Isabel Cellai, Lucrezia Meriaux, Céline Poncelet, Lauranne Nebie, Ouada Saliou, Jean-Michel Lacoste, Anne-Sophie Papegaey, Anthony Drobecq, Hervé Le Gras, Stéphanie Schneider, Marion Malik, Enas M Müller, Christa E. Faivre, Emilie Carvalho, Kevin Gomez-Murcia, Victoria Vieau, Didier Thiroux, Bryan Eddarkaoui, Sabiha Lebouvier, Thibaud Schueller, Estelle Tzeplaeff, Laura Grgurina, Iris Seguin, Jonathan Stauber, Jonathan Lopes, Luísa V. Buee, Luc Buée-Scherrer, Valerie Cunha, Rodrigo A. Ait-Belkacem, Rima Sergeant, Nicolas Annicotte, Jean-Sébastien Boutillier, Anne-Laurence Blum, David |
Keywords: | Epigenetics; Memory; Neuroscience; Pharmacology | Issue Date: | 10-May-2022 | Publisher: | American Society for Clinical Investigation | Project: | POCI-01-0145-FEDER- 03127 info:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND/01497/2017/CP1396/CT0004/PT |
Serial title, monograph or event: | The Journal of Clinical Investigation | Abstract: | Caffeine is the most consumed psychoactive substance worldwide. Strikingly, molecular pathways engaged by its regular consumption remain unclear. We herein addressed the mechanisms associated with habitual (chronic) caffeine consumption in the mouse hippocampus using untargeted orthogonal-omics techniques. Our results revealed that chronic caffeine exerts concerted pleiotropic effects in the hippocampus, at the epigenomic, proteomic and metabolomic levels. Caffeine lowers metabolic-related processes in the bulk tissue, while it induces neuronal-specific epigenetic changes at synaptic transmission/plasticity-related genes and increased experience-driven transcriptional activity. Altogether, these findings suggest that regular caffeine intake improves the signal-to-noise ratio during information encoding, in part through a fine-tuning of metabolic genes while boosting the salience of information processing during learning in neuronal circuits. | URI: | https://hdl.handle.net/10316/100338 | ISSN: | 1558-8238 | DOI: | 10.1172/JCI149371 | Rights: | openAccess |
Appears in Collections: | I&D CNC - Artigos em Revistas Internacionais FMUC Medicina - Artigos em Revistas Internacionais |
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JCI149371.v1.pdf | 4.14 MB | Adobe PDF | View/Open |
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