Ligature-induced periodontitis exacerbates high-carbohydrate/high-fat diet-induced fatty liver in mice under non-diabetic conditions

A non-diabetic mouse model for NAFLD, closer to the clinical presentation than pre-existing mouse models, indicated that ligature-induced periodontitis exacerbated non-diabetic NAFLD, which accounts for the majority of the NAFLD population.

Authors

Institutions

Publication Details

Journal
BMC Oral Health
Published
2026-03-04
DOI
https://doi.org/10.1186/s12903-026-07992-6
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ligature-induced periodontitis exacerbates high-carbohydrate/high-fat diet-induced fatty liver in mice under non-diabetic conditions

Misako Tari, Hidemi Kurihara, Kazuhisa Ouhara, Noriyoshi Mizuno et al.
BMC Oral Health
Liver Disease Diagnosis and Treatment
article

Ligature-induced periodontitis exacerbates high-carbohydrate/high-fat diet-induced fatty liver in mice under non-diabetic conditions

Misako Tari, Hidemi Kurihara, Kazuhisa Ouhara, Noriyoshi Mizuno, Tomoyuki Iwata, Shinji Matsuda, Tsuyoshi Fujita, Mikihito Kajiya
article en

Abstract

A non-diabetic mouse model for NAFLD, closer to the clinical presentation than pre-existing mouse models, indicated that ligature-induced periodontitis exacerbated non-diabetic NAFLD, which accounts for the majority of the NAFLD population.

BMC Oral Health
Hiroshima University (JP)
Good health and well-being
Openalex Percentile: Top 35%
Liver Disease Diagnosis and Treatment
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.