A mouse model of sepsis-associated DIC induced by Kappa-carrageenan and Lipopolysaccharides: Establishment and characteristics

This study establishes a standardized mouse model of sepsis-associated DIC using KCG and LPS, which more accurately replicates the key clinical and pathological characteristics of sepsis-associated DIC compared to existing models. This model serves as a novelty and valuable tool for investigating the mechanisms of sepsis-associated DIC and therapeutic evaluation.

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Publication Details

Journal
Journal of Advanced Research
Published
2025-03-19
DOI
https://doi.org/10.1016/j.jare.2025.03.029
Citations
2
Primary Topic
Inflammation biomarkers and pathways
Type
article
Field-Weighted Citation Impact
1.59
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article

A mouse model of sepsis-associated DIC induced by Kappa-carrageenan and Lipopolysaccharides: Establishment and characteristics

Yuhui Xie, Yuying Zheng, Baoqin Lin, Xiubing Zhang et al.
2 citations
Journal of Advanced Research
Inflammation biomarkers and pathways
1.59
article

A mouse model of sepsis-associated DIC induced by Kappa-carrageenan and Lipopolysaccharides: Establishment and characteristics

Yuhui Xie, Yuying Zheng, Baoqin Lin, Xiubing Zhang, Fangle Liu, Zhongsheng Kuang, Quan Ou, ­Jun Li­, Boning Huang, Ping Tang, Xin-Rong Yang, Bingqing Lin, Huiyi Xie, Jingjing Sun, Liuqing Lin
article en
2 citations

Abstract

This study establishes a standardized mouse model of sepsis-associated DIC using KCG and LPS, which more accurately replicates the key clinical and pathological characteristics of sepsis-associated DIC compared to existing models. This model serves as a novelty and valuable tool for investigating the mechanisms of sepsis-associated DIC and therapeutic evaluation.

Journal of Advanced ResearchVol. 79
Guangzhou University of Chinese Medicine (CN), Shenzhen University (CN), First Affiliated Hospital of Guangzhou University of Chinese Medicine (CN), Guangzhou Institute of Dermatology (CN), Shenzhen Technology University (CN)
Zero hunger
Openalex Percentile: Top 18%
Inflammation biomarkers and pathways
1.59
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