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Enhanced characterization of beta cell mass in a Tg(Pdx1-GFP) mouse model

Authors :
Fatemeh Karami
Behrouz Asgari Abibeiglou
Saghar Pahlavanneshan
Ali Farrokhi
Amin Tamadon
Mohsen Basiri
Keynoosh Khalooghi
Majid Fallahi
Yaser Tahamtani
Source :
BioImpacts, Vol 12, Iss 5, Pp 463-470 (2022)
Publication Year :
2022
Publisher :
Tabriz University of Medical Sciences, 2022.

Abstract

Introduction: Measurement of pancreatic beta cell mass in animal models is a common assay in diabetes researches. Novel whole-organ clearance methods in conjunction with transgenic mouse models hold tremendous promise to improve beta cell mass measurement methods. Here, we proposed a refined method to estimate the beta cell mass using a new transgenic Tg(Pdx1-GFP) mouse model and a recently developed free-of-acrylamide clearing tissue (FACT) protocol. Methods: First, we generated and evaluated a Tg(Pdx1-GFP) transgenic mouse model. Using the FACT protocol in our model, we could quantify the beta cell mass and alloxan-induced beta cell destruction in whole pancreas specimens. Results: Compiled fluorescent images of pancreas resulted in enhanced beta cell mass characterization in FACT-cleared sections (2928869±120215 AU) compared to No-FACT cleared sections (1292372±325632 AU). Additionally, the total number of detected islets with this method was significantly higher than the other clearance methods (155.7 and 109, respectively). Using this method, we showed green fluorescent protein (GFP) expression confined to beta cells in Tg(Pdx1-GFP) transgenic. This enhanced GFP expression enabled us to accurately measure beta cell loss in a beta cell destruction model. The results suggest that our proposed method can be used as a simple, and rapid assay for beta cell mass measurement in islet biology and diabetes studies. Conclusion: The Tg(Pdx1-GFP) transgenic mouse in conjunction with the FACT protocol can enhance large-scale screening studies in the field of diabetes.

Details

Language :
English
ISSN :
22285660 and 22285652
Volume :
12
Issue :
5
Database :
Directory of Open Access Journals
Journal :
BioImpacts
Publication Type :
Academic Journal
Accession number :
edsdoj.286148c14a584f889e1e191bdd3f6336
Document Type :
article
Full Text :
https://doi.org/10.34172/bi.2022.23840