Item recognition is associated with gut microbiota composition in healthy humans
- Javiera P. Oyarzun1,
- Thomas M. Kuntz2,
- Xochitl C. Morgan2,
- Emily A. Green2,
- Lila Davachi3,
- Curtis Huttenhower2,
- Joseph E. LeDoux4,5 and
- Elizabeth A. Phelps1,6
- 1Department of Psychology, Harvard University, Cambridge, Massachusetts 02138, USA
- 2Department of Biostatistics, Microbiome Analysis Core, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02155, USA
- 3Department of Psychology, Columbia University, New York, New York 10025, USA
- 4Center for Neural Science and Department of Psychology, New York University, New York, New York 10003, USA
- 5Department of Psychiatry and Department of Child and Adolescent Psychiatry, New York University Langone Medical School, New York, New York 10016, USA
- 6Center for Brain Science, Harvard University, Cambridge, Massachusetts 02138, USA
- Corresponding author: phelps{at}fas.harvard.edu
Abstract
Murine studies show that the gut microbiota—the collection of the microbes residing in the large intestine—affects memory performance in the host. However, whether commensal gut bacteria are linked to human episodic memory remains unknown. Here, we investigated whether individual differences in episodic memory performance were associated with differences in the indigenous gut microbiota composition between individuals. We show that greater gut microbiota α diversity was associated with better item recognition and that gut microbiota dissimilarity index (β diversity) between participants was associated with differences in their performance. Finally, our results suggest that Prevotella copri might play a role in the relationship between gut microbiota and human item recognition in healthy individuals. In a sample size larger than previous human studies and examining unmanipulated gut microbiota, we provide evidence that episodic memory in healthy humans is linked to their gut microbiota composition.
Footnotes
-
[Supplemental material is available for this article.]
-
Article is online at http://www.learnmem.org/cgi/doi/10.1101/lm.054160.125.
- Received July 9, 2025.
- Accepted March 27, 2026.










