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Effect of gut microbiota-derived metabolites and extracellular vesicles on neurodegenerative disease in a gut-brain axis chip

Authors :
Na Yeon Kim
Ho Yeon Lee
Yoon Young Choi
Sung Jun Mo
Soomin Jeon
Jang Ho Ha
Soo Dong Park
Jae-Jung Shim
Jaehwan Lee
Bong Geun Chung
Source :
Nano Convergence, Vol 11, Iss 1, Pp 1-13 (2024)
Publication Year :
2024
Publisher :
SpringerOpen, 2024.

Abstract

Abstract A new perspective suggests that a dynamic bidirectional communication system, often referred to as the microbiome-gut-brain axis, exists among the gut, its microbiome, and the central nervous system (CNS). This system may influence brain health and various brain-related diseases, especially in the realms of neurodevelopmental and neurodegenerative conditions. However, the exact mechanism is not yet understood. Metabolites or extracellular vesicles derived from microbes in the gut have the capacity to traverse the intestinal epithelial barrier or blood–brain barrier, gaining access to the systemic circulation. This phenomenon can initiate the physiological responses that directly or indirectly impact the CNS and its function. However, reliable and controllable tools are required to demonstrate the causal effects of gut microbial-derived substances on neurogenesis and neurodegenerative diseases. The integration of microfluidics enhances scientific research by providing advanced in vitro engineering models. In this study, we investigated the impact of microbe-derived metabolites and exosomes on neurodevelopment and neurodegenerative disorders using human induced pluripotent stem cells (iPSCs)-derived neurons in a gut-brain axis chip. While strain-specific, our findings indicate that both microbial-derived metabolites and exosomes exert the significant effects on neural growth, maturation, and synaptic plasticity. Therefore, our results suggest that metabolites and exosomes derived from microbes hold promise as potential candidates and strategies for addressing neurodevelopmental and neurodegenerative disorders.

Details

Language :
English
ISSN :
21965404
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nano Convergence
Publication Type :
Academic Journal
Accession number :
edsdoj.90c4944080024af08c83b53d6c9dcaf5
Document Type :
article
Full Text :
https://doi.org/10.1186/s40580-024-00413-w