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Mitochondrial dysfunction as a central event for mechanisms underlying insulin resistance: the roles of long chain fatty acids

Overview of attention for article published in Diabetes/Metabolism Research and Reviews, October 2014
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Title
Mitochondrial dysfunction as a central event for mechanisms underlying insulin resistance: the roles of long chain fatty acids
Published in
Diabetes/Metabolism Research and Reviews, October 2014
DOI 10.1002/dmrr.2601
Pubmed ID
Authors

Mohamad Hafizi Abu Bakar, Cheng Kian Kai, Wan Najihah Wan Hassan, Mohamad Roji Sarmidi, Harisun Yaakob, Hasniza Zaman Huri

Abstract

Insulin resistance is characterised by hyperglycaemia, dyslipidaemia and oxidative stress prior to the development of type 2 diabetes mellitus. To date, a number of mechanisms have been proposed to link these syndromes together, but it remains unclear and obscure, what is a unifying condition that triggered these events in the progression of such metabolic disease. There has been a steady accumulation of data in numerous experimental studies showing the strong correlations between mitochondrial dysfunction, oxidative stress and insulin resistance. In addition, a growing number of studies suggests that the raised of plasma-free fatty acid level induced insulin resistance with the significant alteration of oxidative metabolism in various target tissues such as skeletal muscle, liver and adipose tissue. In this review, we herein propose the idea of long chain fatty acids induced mitochondrial dysfunctions as one of the greatest hallmark events in the pathophysiological development of insulin resistance and type 2 diabetes. The accumulation of reactive oxygen species (ROS), lipotoxicity, inflammation induced endoplasmic reticulum (ER) stress and alterations of mitochondrial gene subset expressions are the most detrimental occasions that lead to the developments of aberrant intracellular insulin signalling activity in a number of peripheral tissues, thus leading to insulin resistance and type 2 diabetes. This article is protected by copyright. All rights reserved.

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Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Germany 1 1%
Unknown 75 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 21%
Student > Bachelor 11 14%
Student > Master 9 12%
Researcher 6 8%
Student > Doctoral Student 6 8%
Other 16 21%
Unknown 13 17%
Readers by discipline Count As %
Medicine and Dentistry 16 21%
Agricultural and Biological Sciences 15 19%
Biochemistry, Genetics and Molecular Biology 14 18%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Nursing and Health Professions 3 4%
Other 9 12%
Unknown 16 21%