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基于规则的肝星状细胞可塑性多尺度模型:失活环在纤维化进展中的关键作用。

A rule-based multiscale model of hepatic stellate cell plasticity: Critical role of the inactivation loop in fibrosis progression.

作者信息

Bouguéon Matthieu, Legagneux Vincent, Hazard Octave, Bomo Jérémy, Siegel Anne, Feret Jérôme, Théret Nathalie

机构信息

Univ Rennes, Inria, CNRS, IRISA, UMR 6074, Rennes, France.

Univ Rennes, Inserm, EHESP, Irset, UMR S1085, Rennes, France.

出版信息

PLoS Comput Biol. 2024 Jul 29;20(7):e1011858. doi: 10.1371/journal.pcbi.1011858. eCollection 2024 Jul.

Abstract

Hepatic stellate cells (HSC) are the source of extracellular matrix (ECM) whose overproduction leads to fibrosis, a condition that impairs liver functions in chronic liver diseases. Understanding the dynamics of HSCs will provide insights needed to develop new therapeutic approaches. Few models of hepatic fibrosis have been proposed, and none of them include the heterogeneity of HSC phenotypes recently highlighted by single-cell RNA sequencing analyses. Here, we developed rule-based models to study HSC dynamics during fibrosis progression and reversion. We used the Kappa graph rewriting language, for which we used tokens and counters to overcome temporal explosion. HSCs are modeled as agents that present seven physiological cellular states and that interact with (TGFβ1) molecules which regulate HSC activation and the secretion of type I collagen, the main component of the ECM. Simulation studies revealed the critical role of the HSC inactivation process during fibrosis progression and reversion. While inactivation allows elimination of activated HSCs during reversion steps, reactivation loops of inactivated HSCs (iHSCs) are required to sustain fibrosis. Furthermore, we demonstrated the model's sensitivity to (TGFβ1) parameters, suggesting its adaptability to a variety of pathophysiological conditions for which levels of (TGFβ1) production associated with the inflammatory response differ. Using new experimental data from a mouse model of CCl4-induced liver fibrosis, we validated the predicted ECM dynamics. Our model also predicts the accumulation of iHSCs during chronic liver disease. By analyzing RNA sequencing data from patients with non-alcoholic steatohepatitis (NASH) associated with liver fibrosis, we confirmed this accumulation, identifying iHSCs as novel markers of fibrosis progression. Overall, our study provides the first model of HSC dynamics in chronic liver disease that can be used to explore the regulatory role of iHSCs in liver homeostasis. Moreover, our model can also be generalized to fibroblasts during repair and fibrosis in other tissues.

摘要

肝星状细胞(HSC)是细胞外基质(ECM)的来源,其过度产生会导致纤维化,这种情况会损害慢性肝病中的肝功能。了解肝星状细胞的动态变化将为开发新的治疗方法提供所需的见解。目前已提出的肝纤维化模型很少,而且没有一个模型包括单细胞RNA测序分析最近所强调的肝星状细胞表型的异质性。在这里,我们开发了基于规则的模型来研究纤维化进展和逆转过程中的肝星状细胞动态变化。我们使用了Kappa图形重写语言,并使用令牌和计数器来克服时间爆炸问题。肝星状细胞被建模为具有七种生理细胞状态的主体,并与调节肝星状细胞激活和I型胶原蛋白(细胞外基质的主要成分)分泌的(转化生长因子β1)分子相互作用。模拟研究揭示了肝星状细胞失活过程在纤维化进展和逆转中的关键作用。虽然失活允许在逆转步骤中消除活化的肝星状细胞,但失活的肝星状细胞(iHSC)的重新激活环是维持纤维化所必需的。此外,我们证明了该模型对(转化生长因子β1)参数的敏感性,表明其适用于多种病理生理条件,在这些条件下与炎症反应相关的(转化生长因子β1)产生水平有所不同。利用来自四氯化碳诱导的肝纤维化小鼠模型的新实验数据,我们验证了预测的细胞外基质动态变化。我们的模型还预测了慢性肝病期间失活肝星状细胞的积累。通过分析来自与肝纤维化相关的非酒精性脂肪性肝炎(NASH)患者的RNA测序数据,我们证实了这种积累,将失活肝星状细胞确定为纤维化进展的新标志物。总体而言,我们的研究提供了慢性肝病中肝星状细胞动态变化的首个模型,可用于探索失活肝星状细胞在肝脏稳态中的调节作用。此外,我们的模型还可以推广到其他组织修复和纤维化过程中的成纤维细胞。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d35b/11309422/1a41a51c0013/pcbi.1011858.g001.jpg

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