Journal of Artificial Intelligence for Medical Sciences

Volume 1, Issue 3-4, March 2021, Pages 30 - 42

Exploring the Microbiota-Gut-Brain Axis for Mental Disorders with Knowledge Graphs

Authors
Ting Liu1, 2, Xueli Pan2, Xu Wang2, K. Anton Feenstra1, Jaap Heringa1, Zhisheng Huang2, *
1 Center for Integrative Bioinformatics VU (IBIVU), Vrije Universiteit, Amsterdam, The Netherlands
2 Knowledge Representation and Reasoning (KR&R) Group, Vrije Universiteit, Amsterdam, The Netherlands
*Corresponding author. Email: z.huang@vu.nl
Corresponding Author
Zhisheng Huang
Received 1 July 2020, Accepted 23 November 2020, Available Online 15 December 2020.
DOI
https://doi.org/10.2991/jaims.d.201208.001How to use a DOI?
Keywords
Microbiota-gut-brain axis, Gut microbiota, Neurotransmitter, Mental disorder, Knowledge graph, Biomedical ontology
Abstract

Gut microbiota has a significant influence on brain-related diseases through the communication routes of the gut-brain axis. Many species of gut microbiota produce a variety of neurotransmitters. In essence, the neurotransmitters are chemicals that influence mood, cognition, and behavior of the host. The relationships between gut microbiota and neurotransmitters has received much attention in medical and biomedical research. However, the integration of the various proposed neurotransmitter signal routes that underpin these relationships has not yet been studied well. To unlock the influence of gut microbiota on mental health via neurotransmitters, the microbiota-gut-brain (MGB) axis, we gather the decentralized results in the existing studies into a structured knowledge base. In this paper, we therefore propose a novel Microbiota Knowledge Graph based on a newly constructed knowledge graph for uncovering the potential associations among gut microbiota, neurotransmitters, and mental disorders which we refer to as MiKG. It includes many interfaces that link to well-known biomedical ontologies, e.g. UMLS, MeSH, KEGG, and SNOMED CT, and is extendable by linking to future ontologies to further exploit the relationships between gut microbiota and neurotransmitters. This paper present MiKG, an effective knowledge graph, that can be used to investigate the MGB axis using the relationships among gut microbiota, neurotransmitters, and mental disorders.

Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Artificial Intelligence for Medical Sciences
Volume-Issue
1 - 3-4
Pages
30 - 42
Publication Date
2020/12/15
ISSN (Online)
2666-1470
DOI
https://doi.org/10.2991/jaims.d.201208.001How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Ting Liu
AU  - Xueli Pan
AU  - Xu Wang
AU  - K. Anton Feenstra
AU  - Jaap Heringa
AU  - Zhisheng Huang
PY  - 2020
DA  - 2020/12/15
TI  - Exploring the Microbiota-Gut-Brain Axis for Mental Disorders with Knowledge Graphs
JO  - Journal of Artificial Intelligence for Medical Sciences
SP  - 30
EP  - 42
VL  - 1
IS  - 3-4
SN  - 2666-1470
UR  - https://doi.org/10.2991/jaims.d.201208.001
DO  - https://doi.org/10.2991/jaims.d.201208.001
ID  - Liu2020
ER  -