Sequential Wnt Agonist Then Antagonist Treatment Accelerates Tissue Repair and Minimizes Fibrosis.

Cellular Physiology Mathematical Biosciences Molecular Physiology Pathophysiology Physiology

Journal

iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038

Informations de publication

Date de publication:
22 May 2020
Historique:
received: 02 10 2019
revised: 15 03 2020
accepted: 05 04 2020
pubmed: 28 4 2020
medline: 28 4 2020
entrez: 28 4 2020
Statut: ppublish

Résumé

Tissue fibrosis compromises organ function and occurs as a potential long-term outcome in response to acute tissue injuries. Currently, lack of mechanistic understanding prevents effective prevention and treatment of the progression from acute injury to fibrosis. Here, we combined quantitative experimental studies with a mouse kidney injury model and a computational approach to determine how the physiological consequences are determined by the severity of ischemia injury and to identify how to manipulate Wnt signaling to accelerate repair of ischemic tissue damage while minimizing fibrosis. The study reveals that memory of prior injury contributes to fibrosis progression and ischemic preconditioning reduces the risk of death but increases the risk of fibrosis. Furthermore, we validated the prediction that sequential combination therapy of initial treatment with a Wnt agonist followed by treatment with a Wnt antagonist can reduce both the risk of death and fibrosis in response to acute injuries.

Identifiants

pubmed: 32339988
pii: S2589-0042(20)30232-7
doi: 10.1016/j.isci.2020.101047
pmc: PMC7186527
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

101047

Subventions

Organisme : NIDDK NIH HHS
ID : R01 DK064005
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001857
Pays : United States
Organisme : NIDDK NIH HHS
ID : K01 DK116816
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK106049
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK119232
Pays : United States

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Interests The authors declare no conflict of interest.

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Auteurs

Xiao-Jun Tian (XJ)

Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, 3501 Fifth Avenue, Pittsburgh, PA 15261, USA; School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA. Electronic address: xiaojun.tian@asu.edu.

Dong Zhou (D)

Department of Pathology, School of Medicine, University of Pittsburgh, 200 Lothrop Street, Pittsburgh, PA 15261, USA.

Haiyan Fu (H)

State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.

Rong Zhang (R)

School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA.

Xiaojie Wang (X)

Department of Pathology, School of Medicine, University of Pittsburgh, 200 Lothrop Street, Pittsburgh, PA 15261, USA.

Sui Huang (S)

Institute for Systems Biology, Seattle, WA, USA.

Youhua Liu (Y)

Department of Pathology, School of Medicine, University of Pittsburgh, 200 Lothrop Street, Pittsburgh, PA 15261, USA; State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China. Electronic address: yhliu@pitt.edu.

Jianhua Xing (J)

Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, 3501 Fifth Avenue, Pittsburgh, PA 15261, USA; Department of Physics, University of Pittsburgh, Pittsburgh, PA 15261, USA; UPMC-Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA 15232, USA. Electronic address: xing1@pitt.edu.

Classifications MeSH