Homeostasis, injury and recovery dynamics at multiple scales in a self-organizing mouse intestinal crypt.

computational biology mouse systems biology

Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
08 Dec 2023
Historique:
received: 09 12 2022
accepted: 07 12 2023
medline: 8 12 2023
pubmed: 8 12 2023
entrez: 8 12 2023
Statut: aheadofprint

Résumé

The maintenance of the functional integrity of the intestinal epithelium requires a tight coordination between cell production, migration and shedding along the crypt-villus axis. Dysregulation of these processes may result in loss of the intestinal barrier and disease. With the aim of generating a more complete and integrated understanding of how the epithelium maintains homeostasis and recovers after injury, we have built a multi-scale agent-based model (ABM) of the mouse intestinal epithelium. We demonstrate that stable, self-organizing behaviour in the crypt emerges from the dynamic interaction of multiple signalling pathways, such as Wnt, Notch, BMP, ZNRF3/RNF43 and YAP-Hippo pathways, which regulate proliferation and differentiation, respond to environmental mechanical cues, form feedback mechanisms and modulate the dynamics of the cell cycle protein network. The model recapitulates the crypt phenotype reported after persistent stem cell ablation and after the inhibition of the CDK1 cycle protein. Moreover, we simulated 5-fluorouracil (5-FU)-induced toxicity at multiple scales starting from DNA and RNA damage, which disrupts the cell cycle, cell signalling, proliferation, differentiation and migration and leads to loss of barrier integrity. During recovery, our in-silico crypt regenerates its structure in a self-organizing, dynamic fashion driven by dedifferentiation and enhanced by negative feedback loops. Thus, the model enables the simulation of xenobiotic-, in particular chemotherapy-, induced mechanisms of intestinal toxicity and epithelial recovery. Overall, we present a systems model able to simulate the disruption of molecular events and its impact across multiple levels of epithelial organization and demonstrate its application to epithelial research and drug development.

Identifiants

pubmed: 38063302
doi: 10.7554/eLife.85478
pii: 85478
doi:
pii:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : European Federation of Pharmaceutical Industries and Associations
ID : Innovative Medicines Initiative 2,No. 116030
Organisme : Horizon 2020 Framework Programme
ID : Innovative Medicines Initiative 2,No. 116030

Informations de copyright

© 2023, Gall et al.

Déclaration de conflit d'intérêts

LG Louis Gall, Employee and shareholder of AstraZeneca Plc. CD, AP, DP The other authors declare that no competing interests exist. FJ Ferran Jardi, Employee of Johnson & Johnson.. LL Lieve Lammens, Employee and shareholder of Johnson & Johnson.. AB Ambra Bianco, Employee and shareholder of AstraZeneca Plc. HK Holly Kimko, Employee and shareholder of AstraZeneca Plc. CP Carmen Pin, Employee and shareholder of AstraZeneca Plc.

Auteurs

Louis Gall (L)

Clinical and Quantitative Pharmacology, AstraZeneca, Cambridge, United Kingdom.

Carrie Duckworth (C)

Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom.

Ferran Jardi (F)

Preclinical Sciences and Translational Safety, Janssen, Beerse, Belgium.

Lieve Lammens (L)

Preclinical Sciences and Translational Safety, Janssen, Beerse, Belgium.

Aimee Parker (A)

Gut Microbes and Health Programme, Quadram Institute, Norwich, United Kingdom.

Ambra Bianco (A)

Clinical Pharmacology and Safety Sciences, AstraZeneca, Cambridge, United Kingdom.

Holly Kimko (H)

Clinical and Quantitative Pharmacology, AstraZeneca, Cambridge, United Kingdom.

David Mark Pritchard (DM)

Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom.

Carmen Pin (C)

Clinical and Quantitative Pharmacology, AstraZeneca, Cambridge, United Kingdom.

Classifications MeSH