Chrome Extension
WeChat Mini Program
Use on ChatGLM

The Gut-Brain Axis in Parkinson Disease: Emerging Concepts and Therapeutic Implications.

Elisa Menozzi,Anthony H V SchapiraTop Scholar,Per Borghammer

Movement disorders clinical practice(2025)

Department of Clinical Medicine

Cited 0|Views0
Abstract
BACKGROUND:The gut-brain axis, i.e. the bidirectional communication system between the gut and the brain, has become of central importance in Parkinson disease (PD) research over the past 20 years. AIMS:We aimed to describe the milestones of the gut-brain axis research in PD and the development of theories proposing the involvement of the gastrointestinal tract in PD pathogenesis. METHODS:We searched PubMed using the terms 'gut-brain axis' AND 'Parkinson disease', and selected relevant articles to provide the foundation for reconstructing an historical overview of the gut-brain axis research in PD. RESULTS:Mounting evidence from preclinical, clinical and post-mortem studies suggests that a subgroup of PD patients present with a range of prodromal symptoms (e.g., autonomic dysfunction, rapid eye movement sleep behaviour disorder) which reflect initial accumulation and later spread of pathological α-synuclein rostrally from the gastrointestinal tract ("body-first" PD). Through neural connections along the gut-brain axis, pathological α-synuclein may spread to the brain, producing clinically manifest disease. Recently, two mechanisms involving the gut-brain axis have attracted increasing attention for their role in PD pathogenesis and progression, namely the perturbation of the composition of the microorganisms living in the gut (the gut microbiome), and the dysfunction of enteroendocrine cells. CONCLUSION:Treatments targeting the gut-brain axis, especially the gut microbiome and the enteroendocrine cells pathway, could potentially slow disease progression or even prevent disease onset. Among these, pre/probiotics, faecal microbiota transplantation, and glucagon-like peptide-1 receptor agonists, have entered advanced stages of clinical trials in humans and shown potential symptomatic and disease-modifying effects.
More
Translated text
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
GPU is busy, summary generation fails
Rerequest