Evidence map›Paper›PMID 39074160›Full record

ArticlePLoS computational biology2024

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

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

Abstract read
In one paragraph

Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Matthieu BouguéonUniv Rennes, Inria, CNRS, IRISA, UMR 6074, Rennes, France.
Vincent LegagneuxUniv Rennes, Inserm, EHESP, Irset, UMR S1085, Rennes, France.
Octave HazardÉcole Polytechnique, Palaiseau, France.
Jérémy BomoUniv Rennes, Inria, CNRS, IRISA, UMR 6074, Rennes, France.
Anne SiegelUniv Rennes, Inria, CNRS, IRISA, UMR 6074, Rennes, France.
Jérôme FeretDI-ENS (Inria, ÉNS, CNRS, PSL University), École normale supérieure, Paris, France.
Nathalie ThéretUniv Rennes, Inria, CNRS, IRISA, UMR 6074, Rennes, France.ORCID 0000-0002-5857-7828

Funding

Centre National de la Recherche Scientifique (AS) and the University of Rennes 1Institut National de la Sante et de la Recherche Medicale (Inserm) NT, VL,MBInstitut national de recherche en informatique et en automatique (INRIA)(JF)
6 · The paper itself

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.

Indexed as

Disease ProgressionExtracellular MatrixHepatic Stellate CellsLiver CirrhosisAnimalsCollagen Type IComputational BiologyComputer SimulationHumansLiverMiceModels, BiologicalTransforming Growth Factor beta1Collagen Type ITransforming Growth Factor beta1

Identifiers

PMID39074160
PMCPMC11309422

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.