Increasing evidence suggests that a complex bi-directional connection between brain and gut influences intestinal pathophysiology and central nervous system (CNS) function through signaling pathways of the brain-gut axis. Epidemiological studies revealed that neuropsychiatric disorders and gastrointestinal (GI) disorders are often mutually reinforcing, whereby higher probabilities of GI dysfunction are observed in patients with psychiatric disorders and vice versa. With the development of high-throughput technological approaches such as gene sequencing, brain imaging, and metabolomics in recent years, systems biology research has gradually become an area of interest to researchers. Through the mining of high-throughput data, researchers have revealed new targets for brain-gut diseases based on previous theories of brain-gut interactions and expanded the application of emerging therapies such as probiotics and gut microbiota transplantation. Clinical big data has also helped doctors in the discovery of novel patterns of GI and CNS diseases, the development of disease prediction models, and the identification of more accurate biomarkers. A dedicated research topic on systems biology and big data methods in the field of brain-gut interaction will help to uncover more information on the physiology and pathology of brain-gut interaction and expand the understanding of some difficult GI and CNS disorders, such as inflammatory bowel disease, Parkinson's disease and Alzheimer's disease.
This research topic will include the application of high-throughput technologies based on brain imaging, gut microbiota, single-cell sequencing, metabolomics, proteomics, and advanced analytical methods such as big data and machine learning in the research of brain-gut interactions. This research topic will report on the GI response and gut microbiota mechanisms induced by neuropsychiatric disorders such as depression, schizophrenia, epilepsy, and Parkinson's disease. Special focus will also be placed on the correlation between gut microbiota and CNS function, metabolism, and neurotransmission to answer questions related to psychiatric symptoms in GI disorders. Furthermore, topics on disease prediction based on clinical data, application of advanced machine learning algorithms in brain-gut diseases, brain-gut markers based on big data, and microbiota mechanisms of new drugs and conventional or complementary therapies in brain-gut diseases will also be welcomed in this research topic.
Topics of interest include but are not limited to:
- Omics analysis of gut microbiota in GI response induced by CNS disorders
- Systems neuroscience research (including brain imaging, neural circuitry, etc.) in GI disorders
- Studies on the application of emerging data mining and machine learning techniques in brain-gut axis physiology and pathology
- Systems biology mechanisms of conventional and complementary therapies for CNS and GI disorders
Research types may include original research articles, reviews and mini-review.
Increasing evidence suggests that a complex bi-directional connection between brain and gut influences intestinal pathophysiology and central nervous system (CNS) function through signaling pathways of the brain-gut axis. Epidemiological studies revealed that neuropsychiatric disorders and gastrointestinal (GI) disorders are often mutually reinforcing, whereby higher probabilities of GI dysfunction are observed in patients with psychiatric disorders and vice versa. With the development of high-throughput technological approaches such as gene sequencing, brain imaging, and metabolomics in recent years, systems biology research has gradually become an area of interest to researchers. Through the mining of high-throughput data, researchers have revealed new targets for brain-gut diseases based on previous theories of brain-gut interactions and expanded the application of emerging therapies such as probiotics and gut microbiota transplantation. Clinical big data has also helped doctors in the discovery of novel patterns of GI and CNS diseases, the development of disease prediction models, and the identification of more accurate biomarkers. A dedicated research topic on systems biology and big data methods in the field of brain-gut interaction will help to uncover more information on the physiology and pathology of brain-gut interaction and expand the understanding of some difficult GI and CNS disorders, such as inflammatory bowel disease, Parkinson's disease and Alzheimer's disease.
This research topic will include the application of high-throughput technologies based on brain imaging, gut microbiota, single-cell sequencing, metabolomics, proteomics, and advanced analytical methods such as big data and machine learning in the research of brain-gut interactions. This research topic will report on the GI response and gut microbiota mechanisms induced by neuropsychiatric disorders such as depression, schizophrenia, epilepsy, and Parkinson's disease. Special focus will also be placed on the correlation between gut microbiota and CNS function, metabolism, and neurotransmission to answer questions related to psychiatric symptoms in GI disorders. Furthermore, topics on disease prediction based on clinical data, application of advanced machine learning algorithms in brain-gut diseases, brain-gut markers based on big data, and microbiota mechanisms of new drugs and conventional or complementary therapies in brain-gut diseases will also be welcomed in this research topic.
Topics of interest include but are not limited to:
- Omics analysis of gut microbiota in GI response induced by CNS disorders
- Systems neuroscience research (including brain imaging, neural circuitry, etc.) in GI disorders
- Studies on the application of emerging data mining and machine learning techniques in brain-gut axis physiology and pathology
- Systems biology mechanisms of conventional and complementary therapies for CNS and GI disorders
Research types may include original research articles, reviews and mini-review.
