Yixin Tongbi formula as a therapeutic approach for atherosclerosis by targeting inflammatory mediators and metalloproteinases

This study explores the molecular mechanisms of Yixin Tongbi Formula (YTF) in intervening in atherosclerotic plaques. Thirty-six healthy SD rats were randomly divided into six groups: normal control, model control, low-dose YTF, medium-dose YTF, high-dose YTF, and Atorvastatin groups, with six rats in each. All groups, except for the normal control, were administered a high-fat diet mixed with Vitamin D3 to establish an atherosclerosis (AS) model. After successful model establishment, confirmed by sampling three rats, the treatment groups were administered 10 g/kg, 20 g/kg, and 40 g/kg of YTF, respectively, and the Atorvastatin group received 5 mg/kg of Atorvastatin, all once daily for 14 consecutive days. Compared to the normal control group, the model control group showed significant thickening of the aortic walls, and increased levels of TC, TG, HDL, and LDL in serum, as well as elevated levels of MMP-2, MMP-9, IL-6, TNF-α, and ICAM-1 in aortic tissues. Expression of Bax in myocardial tissue increased, while Bcl-2 decreased. These changes were completely reversed by treatment with YTF, with the high-dose group showing the most significant effects. YTF inhibits the development of AS by suppressing inflammation and cell apoptosis and improving plaque stability.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-04-10
DOI
https://doi.org/10.1038/s41598-025-29289-4
Primary Topic
Adipokines, Inflammation, and Metabolic Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Yixin Tongbi formula as a therapeutic approach for atherosclerosis by targeting inflammatory mediators and metalloproteinases

Rui Wang, Haseeb Sattar, Tao Leng, Ailing Huang et al.
Scientific Reports
Adipokines, Inflammation, and Metabolic Diseases
article

Yixin Tongbi formula as a therapeutic approach for atherosclerosis by targeting inflammatory mediators and metalloproteinases

Rui Wang, Haseeb Sattar, Tao Leng, Ailing Huang, Qian Nie
article en

Abstract

This study explores the molecular mechanisms of Yixin Tongbi Formula (YTF) in intervening in atherosclerotic plaques. Thirty-six healthy SD rats were randomly divided into six groups: normal control, model control, low-dose YTF, medium-dose YTF, high-dose YTF, and Atorvastatin groups, with six rats in each. All groups, except for the normal control, were administered a high-fat diet mixed with Vitamin D3 to establish an atherosclerosis (AS) model. After successful model establishment, confirmed by sampling three rats, the treatment groups were administered 10 g/kg, 20 g/kg, and 40 g/kg of YTF, respectively, and the Atorvastatin group received 5 mg/kg of Atorvastatin, all once daily for 14 consecutive days. Compared to the normal control group, the model control group showed significant thickening of the aortic walls, and increased levels of TC, TG, HDL, and LDL in serum, as well as elevated levels of MMP-2, MMP-9, IL-6, TNF-α, and ICAM-1 in aortic tissues. Expression of Bax in myocardial tissue increased, while Bcl-2 decreased. These changes were completely reversed by treatment with YTF, with the high-dose group showing the most significant effects. YTF inhibits the development of AS by suppressing inflammation and cell apoptosis and improving plaque stability.

Scientific Reports
Chengdu University of Traditional Chinese Medicine (CN)
Good health and well-being
Openalex Percentile: Top 18%
Adipokines, Inflammation, and Metabolic Diseases
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.