Exploring the gut microbiota’s effect on temporomandibular joint disorder: a two−sample Mendelian randomization analysis

The research reveals the relation of gut microbiota in TMD. These findings provide insights into the underlying mechanisms and suggest potential therapeutic strategy.

Authors

Institutions

Publication Details

Journal
Frontiers in Cellular and Infection Microbiology
Published
2024-08-12
DOI
https://doi.org/10.3389/fcimb.2024.1361373
Citations
2
Primary Topic
Temporomandibular Joint Disorders
Type
article
Field-Weighted Citation Impact
1.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the gut microbiota’s effect on temporomandibular joint disorder: a two−sample Mendelian randomization analysis

Yunzhu Qian, Han Jiang, Weibing Zhang, Kai Zhao et al.
2 citations
Frontiers in Cellular and Infection Microbiology
Temporomandibular Joint Disorders
1.01
article

Exploring the gut microbiota’s effect on temporomandibular joint disorder: a two−sample Mendelian randomization analysis

Yunzhu Qian, Han Jiang, Weibing Zhang, Kai Zhao, Shuaiqi JI
article en
2 citations

Abstract

The research reveals the relation of gut microbiota in TMD. These findings provide insights into the underlying mechanisms and suggest potential therapeutic strategy.

Frontiers in Cellular and Infection MicrobiologyVol. 14
Fujian Medical University (CN), Soochow University (CN), The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital)
Good health and well-being
Openalex Percentile: Top 24%
Temporomandibular Joint Disorders
1.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.