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Predictors and prevention of diabetic cardiomyopathy

Overview of attention for article published in Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, April 2013
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Title
Predictors and prevention of diabetic cardiomyopathy
Published in
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, April 2013
DOI 10.2147/dmso.s30968
Pubmed ID
Authors

Vishalakshi Chavali, Suresh C Tyagi, Paras K Mishra

Abstract

Despite our cognizance that diabetes can enhance the chances of heart failure, causes multiorgan failure,and contributes to morbidity and mortality, it is rapidly increasing menace worldwide. Less attention has been paid to alert prediabetics through determining the comprehensive predictors of diabetic cardiomyopathy (DCM) and ameliorating DCM using novel approaches. DCM is recognized as asymptomatic progressing structural and functional remodeling in the heart of diabetics, in the absence of coronary atherosclerosis and hypertension. The three major stages of DCM are: (1) early stage, where cellular and metabolic changes occur without obvious systolic dysfunction; (2) middle stage, which is characterized by increased apoptosis, a slight increase in left ventricular size, and diastolic dysfunction and where ejection fraction (EF) is <50%; and (3) late stage, which is characterized by alteration in microvasculature compliance, an increase in left ventricular size, and a decrease in cardiac performance leading to heart failure. Recent investigations have revealed that DCM is multifactorial in nature and cellular, molecular, and metabolic perturbations predisposed and contributed to DCM. Differential expression of microRNA (miRNA), signaling molecules involved in glucose metabolism, hyperlipidemia, advanced glycogen end products, cardiac extracellular matrix remodeling, and alteration in survival and differentiation of resident cardiac stem cells are manifested in DCM. A sedentary lifestyle and high fat diet causes obesity and this leads to type 2 diabetes and DCM. However, exercise training improves insulin sensitivity, contractility of cardiomyocytes, and cardiac performance in type 2 diabetes. These findings provide new clues to diagnose and mitigate DCM. This review embodies developments in the field of DCM with the aim of elucidating the future perspectives of predictors and prevention of DCM.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 21%
Student > Bachelor 15 12%
Student > Master 13 10%
Researcher 11 9%
Student > Postgraduate 9 7%
Other 25 19%
Unknown 29 22%
Readers by discipline Count As %
Medicine and Dentistry 37 29%
Agricultural and Biological Sciences 18 14%
Nursing and Health Professions 11 9%
Biochemistry, Genetics and Molecular Biology 9 7%
Pharmacology, Toxicology and Pharmaceutical Science 6 5%
Other 15 12%
Unknown 33 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 April 2013.
All research outputs
#17,348,916
of 25,457,297 outputs
Outputs from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#611
of 1,184 outputs
Outputs of similar age
#136,910
of 213,193 outputs
Outputs of similar age from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#4
of 5 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,184 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 33rd percentile – i.e., 33% 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 213,193 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.