Potential involvement of S100A8/S100A9 and neutrophil extracellular traps in rheumatic heart disease valvular injury

Abstract Rheumatic heart disease (RHD) causes immune-mediated valvular inflammation and fibrosis, but the contribution of neutrophil extracellular traps (NETs) remains unclear. We integrated mitral valve transcriptomics with histological, molecular and echocardiographic assessments in a rat RHD model. Transcriptomic analysis included four rats per group; each subsequent experiment included three rats per group. RHD valves showed inflammatory infiltration, collagen remodeling and increased S100A8/S100A9 expression, alongside enhanced myeloperoxidase (MPO) and citrullinated histone H3 (citH3) staining. S100A8/A9 and MPO showed partial local colocalization, whereas the measured echocardiographic parameters did not differ significantly between groups at the terminal assessment. Exploratory screening using nominal P < 0.05 and |log₂ fold change| > 1 identified 89 genes, nine of which overlapped a NET-related gene set. These included S100A8 and S100A9, with nominal P values of 0.009565 and 0.002586 and Benjamini–Hochberg-adjusted P values of 0.419214 and 0.297275, respectively. The combined findings support a possible contribution of S100A8/S100A9-associated NET responses to valvular inflammation and remodeling. However, the exploratory transcriptomic evidence, small experimental groups and absence of functional perturbation leave the proposed causal pathway in RHD unconfirmed.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-10-14
DOI
https://doi.org/10.1038/s41598-026-76532-7
Primary Topic
Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Potential involvement of S100A8/S100A9 and neutrophil extracellular traps in rheumatic heart disease valvular injury

Yuan Huang, Zhiyu Zeng, Jianlin Wen, Li Wang et al.
Scientific Reports
Neutrophil, Myeloperoxidase and Oxidative Mechanisms
article

Potential involvement of S100A8/S100A9 and neutrophil extracellular traps in rheumatic heart disease valvular injury

Yuan Huang, Zhiyu Zeng, Jianlin Wen, Li Wang, Guangze Wu
article en

Abstract

Abstract Rheumatic heart disease (RHD) causes immune-mediated valvular inflammation and fibrosis, but the contribution of neutrophil extracellular traps (NETs) remains unclear. We integrated mitral valve transcriptomics with histological, molecular and echocardiographic assessments in a rat RHD model. Transcriptomic analysis included four rats per group; each subsequent experiment included three rats per group. RHD valves showed inflammatory infiltration, collagen remodeling and increased S100A8/S100A9 expression, alongside enhanced myeloperoxidase (MPO) and citrullinated histone H3 (citH3) staining. S100A8/A9 and MPO showed partial local colocalization, whereas the measured echocardiographic parameters did not differ significantly between groups at the terminal assessment. Exploratory screening using nominal P < 0.05 and |log₂ fold change| > 1 identified 89 genes, nine of which overlapped a NET-related gene set. These included S100A8 and S100A9, with nominal P values of 0.009565 and 0.002586 and Benjamini–Hochberg-adjusted P values of 0.419214 and 0.297275, respectively. The combined findings support a possible contribution of S100A8/S100A9-associated NET responses to valvular inflammation and remodeling. However, the exploratory transcriptomic evidence, small experimental groups and absence of functional perturbation leave the proposed causal pathway in RHD unconfirmed.

Scientific Reports
Guangxi Medical University (CN), First Affiliated Hospital of GuangXi Medical University (CN), Riverside Hospital of Guangxi Zhuang Autonomous Region (CN)
Openalex Percentile: Top 20%
Neutrophil, Myeloperoxidase and Oxidative Mechanisms
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.