Please use this identifier to cite or link to this item: http://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: http://hdl.handle.net/10316/100338
ISSN: 1558-8238
DOI: 10.1172/JCI149371
Rights: openAccess
Appears in Collections:FMUC Medicina - Artigos em Revistas Internacionais
I&D CNC - Artigos em Revistas Internacionais

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