Big data analytics frameworks for the influence of gut microbiota on the development of tic disorder

Fei Fan*, Zhaoxiang Bian, Xuan Zhang, Hongwei Wu, Simeng Wang, Si Zhang, Qiong Wang, Fei Han*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

1 Citation (Scopus)

Abstract

The association between gut microbiota and psychiatric disorders has received increasing research attention. Meanwhile, big data analysis has been utilized in many filed including business, human healthcare analysis, etc. The primary objective of this article was to provide insights into Big Data Analytics (BDA) to clarify the association between gut microbiota and TD (Tic disorder). Specifically, we investigated the recent studies related to gut microbiota composition differences in patients with TD compared to health people. We searched on PubMed and Embase (Ovid) databases for relevant published articles until June 15, 2021. A total of 78 TD and 62 health control stool samples were examined. Case-control design was applied in all the studies. No consensus was evident in α-diversity and β-diversity. The abundance of phyla Bacteroidetes and Firmicutes was predominant at the taxa level. Gut microbiota taxonomic differences were found between TD cases and controls, though inconsistently across studies. Further studies are needed to reveal the underlying pathophysiology of TD and correlation between TD and gut microbiota composition.

Original languageEnglish
Article number986591
Number of pages10
JournalFrontiers in Computational Neuroscience
Volume16
DOIs
Publication statusPublished - 25 Aug 2022

User-Defined Keywords

  • tic disorder
  • gut microbiota
  • data analysis
  • bacteroidetes
  • firmicutes

Fingerprint

Dive into the research topics of 'Big data analytics frameworks for the influence of gut microbiota on the development of tic disorder'. Together they form a unique fingerprint.

Cite this