↓ Skip to main content

Hyperglycaemia attenuates in vivo reprogramming of pancreatic exocrine cells to beta cells in mice

Overview of attention for article published in Diabetologia, December 2015
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
54 Mendeley
Title
Hyperglycaemia attenuates in vivo reprogramming of pancreatic exocrine cells to beta cells in mice
Published in
Diabetologia, December 2015
DOI 10.1007/s00125-015-3838-7
Pubmed ID
Authors

Claudia Cavelti-Weder, Weida Li, Adrian Zumsteg, Marianne Stemann-Andersen, Yuemei Zhang, Takatsugu Yamada, Max Wang, Jiaqi Lu, Agnes Jermendy, Yong Mong Bee, Susan Bonner-Weir, Gordon C. Weir, Qiao Zhou

Abstract

Reprogramming of pancreatic exocrine to insulin-producing cells by viral delivery of the genes encoding transcription factors neurogenin-3 (Ngn3), pancreas/duodenum homeobox protein 1 (Pdx1) and MafA is an efficient method for reversing diabetes in murine models. The variables that modulate reprogramming success are currently ill-defined. Here, we assess the impact of glycaemia on in vivo reprogramming in a mouse model of streptozotocin-induced beta cell ablation, using subsequent islet transplantation or insulin pellet implantation for creation of groups with differing levels of glycaemia before viral delivery of transcription factors. We observed that hyperglycaemia significantly impaired reprogramming of exocrine to insulin-producing cells in their quantity, differentiation status and function. With hyperglycaemia, the reprogramming of acinar towards beta cells was less complete. Moreover, inflammatory tissue changes within the exocrine pancreas including macrophage accumulation were found, which may represent the tissue's response to clear the pancreas from insufficiently reprogrammed cells. Our findings shed light on normoglycaemia as a prerequisite for optimal reprogramming success in a diabetes model, which might be important in other tissue engineering approaches and disease models, potentially facilitating their translational applications.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Student > Bachelor 9 17%
Researcher 7 13%
Student > Master 6 11%
Other 5 9%
Other 9 17%
Unknown 7 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 28%
Medicine and Dentistry 13 24%
Agricultural and Biological Sciences 10 19%
Immunology and Microbiology 2 4%
Nursing and Health Professions 1 2%
Other 5 9%
Unknown 8 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 October 2022.
All research outputs
#7,205,709
of 23,506,079 outputs
Outputs from Diabetologia
#2,800
of 5,141 outputs
Outputs of similar age
#112,699
of 393,797 outputs
Outputs of similar age from Diabetologia
#33
of 70 outputs
Altmetric has tracked 23,506,079 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 5,141 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.2. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 393,797 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.