Literature DB >> 29220426

Isl1β Overexpression With Key β Cell Transcription Factors Enhances Glucose-Responsive Hepatic Insulin Production and Secretion.

Yunshin Jung1,2, Ruyi Zhou1, Toshiki Kato2,3, Jeffrey K Usui4, Masafumi Muratani1,2, Hisashi Oishi1,5,6, Margarete M S Heck7, Satoru Takahashi1,5,6.   

Abstract

Adenoviral gene transfer of key β cell developmental regulators including Pdx1, Neurod1, and Mafa (PDA) has been reported to generate insulin-producing cells in the liver. However, PDA insulin secretion is transient and glucose unresponsive. Here, we report that an additional β cell developmental regulator, insulin gene enhancer binding protein splicing variant (Isl1β), improved insulin production and glucose-responsive secretion in PDA mice. Microarray gene expression analysis suggested that adenoviral PDA transfer required an additional element for mature β cell generation, such as Isl1 and Elf3 in the liver. In vitro promoter analysis indicated that splicing variant Isl1, or Isl1β, is an important factor for transcriptional activity of the insulin gene. In vivo bioluminescence monitoring using insulin promoter-luciferase transgenic mice verified that adenoviral PDA + Isl1β transfer produced highly intense luminescence from the liver, which peaked at day 7 and persisted for more than 10 days. Using insulin promoter-GFP transgenic mice, we further confirmed that Isl1β supplementation to PDA augmented insulin-producing cells in the liver, insulin production and secretion, and β cell‒related genes. Finally, the PDA + Isl1β combination ameliorated hyperglycemia in diabetic mice for 28 days and enhanced glucose tolerance and responsiveness. Thus, our results suggest that Isl1β is a key additional transcriptional factor for advancing the generation of insulin-producing cells in the liver in combination with PDA.
Copyright © 2018 Endocrine Society.

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Year:  2018        PMID: 29220426     DOI: 10.1210/en.2017-00663

Source DB:  PubMed          Journal:  Endocrinology        ISSN: 0013-7227            Impact factor:   4.736


  3 in total

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Authors:  Yaqin He; Xiaoliang Xie; Xiaoyan Li; Shikuo Rong; Yukui Li; Zhenhui Lu
Journal:  J Biosci       Date:  2019-12       Impact factor: 1.826

2.  A general computational approach to predicting synergistic transcriptional cores that determine cell subpopulation identities.

Authors:  Satoshi Okawa; Antonio Del Sol
Journal:  Nucleic Acids Res       Date:  2019-04-23       Impact factor: 16.971

Review 3.  Pancreatic Transdifferentiation Using β-Cell Transcription Factors for Type 1 Diabetes Treatment.

Authors:  Alexandra L G Mahoney; Najah T Nassif; Bronwyn A O'Brien; Ann M Simpson
Journal:  Cells       Date:  2022-07-08       Impact factor: 7.666

  3 in total

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