Abstract

Short-chain fatty acids (SCFAs), the main metabolites produced by bacterial fermentation of dietary fibre in the gastrointestinal tract, are speculated to have a key role in microbiota-gut-brain crosstalk. However, the pathways through which SCFAs might influence psychological functioning, including affective and cognitive processes and their neural basis, have not been fully elucidated. Furthermore, research directly exploring the role of SCFAs as potential mediators of the effects of microbiota-targeted interventions on affective and cognitive functioning is sparse, especially in humans. This Review summarizes existing knowledge on the potential of SCFAs to directly or indirectly mediate microbiota-gut-brain interactions. The effects of SCFAs on cellular systems and their interaction with gut-brain signalling pathways including immune, endocrine, neural and humoral routes are described. The effects of microbiota-targeted interventions such as prebiotics, probiotics and diet on psychological functioning and the putative mediating role of SCFA signalling will also be discussed, as well as the relationship between SCFAs and psychobiological processes. Finally, future directions to facilitate direct investigation of the effect of SCFAs on psychological functioning are outlined.

Keywords

Gut floraCrosstalkGut–brain axisCognitionPsychological interventionImmune systemNeuroscienceMedicineBioinformaticsBiologyImmunology

MeSH Terms

AnimalsBrainDietary FiberDisease ModelsAnimalFatty AcidsVolatileGastrointestinal MicrobiomeGastrointestinal TractHumansMental DisordersNeural PathwaysSignal Transduction

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Publication Info

Year
2019
Type
review
Volume
16
Issue
8
Pages
461-478
Citations
2759
Access
Closed

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2759
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82
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Cite This

Boushra Dalile, Lukas Van Oudenhove, Bram Vervliet et al. (2019). The role of short-chain fatty acids in microbiota–gut–brain communication. Nature Reviews Gastroenterology & Hepatology , 16 (8) , 461-478. https://doi.org/10.1038/s41575-019-0157-3

Identifiers

DOI
10.1038/s41575-019-0157-3
PMID
31123355

Data Quality

Data completeness: 81%