Novel Strategies to Protect and Visualize Pancreatic β Cells in Diabetes.


Journal

Trends in endocrinology and metabolism: TEM
ISSN: 1879-3061
Titre abrégé: Trends Endocrinol Metab
Pays: United States
ID NLM: 9001516

Informations de publication

Date de publication:
12 2020
Historique:
received: 17 06 2020
revised: 23 09 2020
accepted: 12 10 2020
pubmed: 9 11 2020
medline: 3 11 2021
entrez: 8 11 2020
Statut: ppublish

Résumé

A common feature in the pathophysiology of different types of diabetes is the reduction of β cell mass and/or impairment of β cell function. Diagnosis and treatment of type 1 and type 2 diabetes is currently hampered by a lack of reliable techniques to restore β cell survival, to improve insulin secretion, and to quantify β cell mass in patients. Current new approaches may allow us to precisely and specifically visualize β cells in vivo and provide viable therapeutic strategies to preserve, recover, and regenerate β cells. In this review, we discuss recent protective approaches for β cells and the advantages and limitations of current imaging probes in the field.

Identifiants

pubmed: 33160815
pii: S1043-2760(20)30199-5
doi: 10.1016/j.tem.2020.10.002
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

905-917

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Esteban N Gurzov (EN)

Signal Transduction and Metabolism Laboratory, Université libre de Bruxelles, Brussels 1070, Belgium. Electronic address: egurzov@ulb.ac.be.

Pu Chun Ke (PC)

Zhongshan Hospital, Fudan University, Xuhui District, Shanghai 200032, China; ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC 3052, Australia.

Ulf Ahlgren (U)

Umeå Centre for Molecular Medicine, Umeå University, Umeå S-90187, Sweden.

Rita S Garcia Ribeiro (RS)

Signal Transduction and Metabolism Laboratory, Université libre de Bruxelles, Brussels 1070, Belgium.

Martin Gotthardt (M)

Department of Medical Imaging, Radboud University Medical Center, Nijmegen 6525 GA, The Netherlands.

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Classifications MeSH