Yang Hang, Feng Lin, Jiang Zhenjie, Deng Ruiming, Wu Xiaodan, Zeng Kai
Department of Anesthesiology, Anesthesiology Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, People's Republic of China.
Department of Hematology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, People's Republic of China.
J Inflamm Res. 2025 Jun 17;18:8015-8031. doi: 10.2147/JIR.S523124. eCollection 2025.
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.
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.
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.
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预后中起关键作用。然而,脓毒症诱导心肌损伤的精确机制仍不清楚,用于研究的最合适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,以确定研究脓毒症诱导心肌损伤病理生理机制的最合适模型。
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24小时以诱导心肌损伤。评估细胞活力、细胞毒性、炎症反应、氧化应激、凋亡和心肌损伤生物标志物以评价模型性能。分析mRNA表达谱以鉴定差异表达基因(DEG),随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。
虽然LPS和TNF-α处理的心肌细胞表现出相似的损伤特征,但两者都仅部分体现了脓毒症诱导心肌损伤表型的复杂性。相比之下,暴露于脓毒症血清的心肌细胞表现出更明显的炎症反应、氧化应激、凋亡和心肌损伤。转录组分析显示,脓毒症血清模型诱导706个DEG,显著多于LPS(262个DEG)或TNF-α(237个DEG),并富集于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)对脓毒症性心肌病数据集具有更高的诊断准确性。
本研究引入了一种使用脓毒症血清模拟脓毒症诱导心肌损伤的新型体外方法,提供了一个生理相关平台,能更准确地反映该疾病复杂的病理生理学。