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Childhood gut microbiome is linked to internalizing symptoms at school age via the functional connectome

Title: Childhood gut microbiome is linked to internalizing symptoms at school age via the functional connectome
Authors: Francesca R. Querdasi; Jessica P. Uy; Jennifer S. Labus; Jia Xu; Neerja Karnani; Ai Peng Tan; Birit B. F. P. Broekman; Peter D. Gluckman; Yap Seng Chong; Helen Chen; Marielle V. Fortier; Lourdes Mary Daniel; Fabian Yap; Johan G. Eriksson; Shirong Cai; Mary Foong-Fong Chong; Jia Ying Toh; Keith M. Godfrey; Michael J. Meaney; Bridget L. Callaghan
Source: Nature Communications, Vol 16, Iss 1, Pp 1-16 (2025)
Publisher Information: Nature Portfolio, 2025.
Publication Year: 2025
Collection: LCC:Science
Subject Terms: Science
Description: Abstract The microbiome-gut-brain-axis plays a critical role in mental health. However, research linking the microbiome to brain function is limited, particularly during development, when tremendous plasticity occurs and many mental health issues, like depression and anxiety, initially manifest. Further complicating attempts to understand interactions between the brain and microbiome is the complex and multidimensional nature of both systems. In the current observational study (N = 55), we use sparse partial least squares to identify linear combinations of brain networks (brain signatures) derived from resting state fMRI scans at age 6 years that maximally covary with internalizing symptoms at age 7.5 years, before identifying microbe abundances (microbial profiles) derived from 16S rRNA sequencing of stool samples at age 2 years that maximally covary with those brain signatures. Finally, we test whether any early microbial profiles are indirectly associated with later internalizing symptoms via the brain signatures, highlighting potential microbial programming effects. We find that microbes in the Clostridiales order and Lachnospiraceae family are associated with internalizing symptoms in middle childhood through connectivity alterations within emotion-related brain networks.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2041-1723
Relation: https://doaj.org/toc/2041-1723
DOI: 10.1038/s41467-025-64988-6
Access URL: https://doaj.org/article/5e1ddfb8a0e04bd9b7a49fb1f4e712a6
Accession Number: edsdoj.5e1ddfb8a0e04bd9b7a49fb1f4e712a6
Database: Directory of Open Access Journals