Establishment of a Novel in vitro Model of Sepsis-Induced Myocardial Injury Using Septic Serum: A Comprehensive Comparative Study.

IF 4.2 2区 医学 Q2 IMMUNOLOGY
Journal of Inflammation Research Pub Date : 2025-06-17 eCollection Date: 2025-01-01 DOI:10.2147/JIR.S523124
Hang Yang, Lin Feng, Zhenjie Jiang, Ruiming Deng, Xiaodan Wu, Kai Zeng
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引用次数: 0

Abstract

Background: Sepsis is a life-threatening systemic inflammatory syndrome, in which myocardial injury plays a key role in disease progression and poor outcomes. However, the precise mechanisms underlying sepsis-induced myocardial injury remain unclear, and the most appropriate in vitro model for its investigation remains to be established. This study aimed to systematically compare different in vitro models to determine the most appropriate model for studying the pathophysiological mechanisms of sepsis-induced myocardial injury.

Materials and methods: AC16 cardiomyocytes were treated with lipopolysaccharide (LPS), tumor necrosis factor-α (TNF-α), or septic serum for 24 hours to induce myocardial injury. Cell viability, cytotoxicity, inflammatory response, oxidative stress, apoptosis, and myocardial injury biomarkers were assessed to evaluate model performance. The mRNA expression profiles were analyzed to identify differentially expressed genes (DEGs), followed by functional enrichment analysis. The diagnostic utility of each model was assessed using receiver operating characteristic (ROC) analysis.

Results: While LPS and TNF-α-treated cardiomyocytes exhibited similar injury features, both only partially captured the complexity of the sepsis-induced myocardial injury phenotype. In contrast, cardiomyocytes exposed to septic serum demonstrated more pronounced inflammatory responses, oxidative stress, apoptosis, and myocardial damage. Transcriptomic analysis revealed that the septic serum model induced 706 DEGs, significantly more than LPS (262 DEGs) or TNF-α (237 DEGs), and enriched in a broader array of biological processes and signaling pathways. ROC analysis confirmed that the septic serum model (AUC=0.671, 0.610) had higher diagnostic accuracy for septic cardiomyopathy datasets compared to the LPS (AUC= 0.548, 0.426) and TNF-α (AUC= 0.470, 0.559) models.

Conclusion: This study introduces a novel in vitro approach using septic serum to model sepsis-induced myocardial injury, providing a physiologically relevant platform that more accurately reflects the complex pathophysiology of the disease.

脓毒症血清建立新型脓毒症心肌损伤体外模型的综合比较研究。
背景:脓毒症是一种危及生命的全身性炎症综合征,其中心肌损伤在疾病进展和不良结局中起关键作用。然而,脓毒症引起的心肌损伤的确切机制尚不清楚,最适合其研究的体外模型仍有待建立。本研究旨在系统比较不同的体外模型,以确定最适合研究脓毒症致心肌损伤病理生理机制的模型。材料和方法:用脂多糖(LPS)、肿瘤坏死因子-α (TNF-α)或脓毒症血清处理AC16心肌细胞24h,诱导心肌损伤。通过评估细胞活力、细胞毒性、炎症反应、氧化应激、细胞凋亡和心肌损伤生物标志物来评估模型的性能。分析mRNA表达谱以鉴定差异表达基因(DEGs),然后进行功能富集分析。使用受试者工作特征(ROC)分析评估每个模型的诊断效用。结果:虽然LPS和TNF-α处理的心肌细胞表现出相似的损伤特征,但两者都仅部分捕获了败血症诱导的心肌损伤表型的复杂性。相比之下,暴露于败血性血清的心肌细胞表现出更明显的炎症反应、氧化应激、细胞凋亡和心肌损伤。转录组学分析显示,脓毒症血清模型诱导706个DEGs,显著高于LPS(262个DEGs)或TNF-α(237个DEGs),并丰富了更广泛的生物过程和信号通路。ROC分析证实,与LPS (AUC= 0.548, 0.426)和TNF-α (AUC= 0.470, 0.559)模型相比,脓毒症血清模型(AUC=0.671, 0.610)对脓毒症心肌病数据集的诊断准确率更高。结论:本研究引入了一种新的体外方法,利用脓毒症血清来模拟脓毒症引起的心肌损伤,为更准确地反映疾病复杂的病理生理提供了一个生理学相关的平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Inflammation Research
Journal of Inflammation Research Immunology and Microbiology-Immunology
CiteScore
6.10
自引率
2.20%
发文量
658
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed, open access, online journal that welcomes laboratory and clinical findings on the molecular basis, cell biology and pharmacology of inflammation.
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