↓ Skip to main content

Lipids and immunoinflammatory pathways of beta cell destruction

Overview of attention for article published in Diabetologia, February 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
44 Mendeley
Title
Lipids and immunoinflammatory pathways of beta cell destruction
Published in
Diabetologia, February 2016
DOI 10.1007/s00125-016-3890-y
Pubmed ID
Authors

Yumi Imai, Anca D. Dobrian, Margaret A. Morris, David A. Taylor-Fishwick, Jerry L. Nadler

Abstract

Islet inflammation contributes to beta cell demise in both type 1 and type 2 diabetes. 12-Lipoxygenase (12-LO, gene expressed as ALOX12 in humans and 12-Lo in rodents in this manuscript) produces proinflammatory metabolites such as 12(S)-hydroxyeicosatetraenoic acids through dioxygenation of polyunsaturated fatty acids. 12-LO was first implicated in diabetes when the increase in 12-Lo expression and 12(S)-hydroxyeicosatetraenoic acid was noted in rodent models of diabetes. Subsequently, germline 12-Lo (-/-) was shown to prevent the development of hyperglycemia in mouse models of type 1 diabetes and in high-fat fed mice. More recently, beta cell-specific 12-Lo (-/-) was shown to protect mice against hyperglycaemia after streptozotocin and a high-fat diet. In humans, 12-LO expression is increased in pancreatic islets of autoantibody-positive, type 1 diabetic and type 2 diabetic organ donors. Interestingly, the high expression of ALOX12 is associated with the alteration in first-phase glucose-stimulated insulin secretion in human type 2 diabetic islets. To further clarify the role of islet 12-LO in diabetes and to validate 12-LO as a therapeutic target of diabetes, we have studied selective pharmacological inhibitors for 12-LO. The compounds we have identified show promise: they protect beta cell lines and human islets from apoptosis and preserve insulin secretion when challenged by proinflammatory cytokine mixture. Currently studies are underway to test the compounds in mouse models of diabetes. This review summarises a presentation given at the 'Islet inflammation in type 2 diabetes' symposium at the 2015 annual meeting of the EASD. It is accompanied two other mini-reviews on topics from this symposium (by Simone Baltrusch, DOI: 10.1007/s00125-016-3891-x and Marc Donath, DOI: 10.1007/s00125-016-3873-z ) and a commentary by the Session Chair, Piero Marchetti (DOI: 10.1007/s00125-016-3875-x ).

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Netherlands 1 2%
Germany 1 2%
Unknown 41 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 6 14%
Student > Master 5 11%
Student > Bachelor 3 7%
Professor 3 7%
Other 9 20%
Unknown 9 20%
Readers by discipline Count As %
Medicine and Dentistry 10 23%
Biochemistry, Genetics and Molecular Biology 7 16%
Agricultural and Biological Sciences 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 4 9%
Nursing and Health Professions 2 5%
Other 6 14%
Unknown 11 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 April 2016.
All research outputs
#13,975,135
of 22,862,742 outputs
Outputs from Diabetologia
#4,281
of 5,036 outputs
Outputs of similar age
#203,931
of 400,611 outputs
Outputs of similar age from Diabetologia
#50
of 67 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,036 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.7. This one is in the 14th percentile – i.e., 14% 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 400,611 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.