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Type 2 Diabetes Mellitus and Cardiovascular Disease: Genetic and Epigenetic Links

Overview of attention for article published in Frontiers in endocrinology, January 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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4 news outlets
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117 X users
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1 Facebook page
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1 Google+ user

Citations

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241 Dimensions

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607 Mendeley
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Title
Type 2 Diabetes Mellitus and Cardiovascular Disease: Genetic and Epigenetic Links
Published in
Frontiers in endocrinology, January 2018
DOI 10.3389/fendo.2018.00002
Pubmed ID
Authors

Salvatore De Rosa, Biagio Arcidiacono, Eusebio Chiefari, Antonio Brunetti, Ciro Indolfi, Daniela P. Foti

Abstract

Type 2 diabetes mellitus (DM) is a common metabolic disorder predisposing to diabetic cardiomyopathy and atherosclerotic cardiovascular disease (CVD), which could lead to heart failure through a variety of mechanisms, including myocardial infarction and chronic pressure overload. Pathogenetic mechanisms, mainly linked to hyperglycemia and chronic sustained hyperinsulinemia, include changes in metabolic profiles, intracellular signaling pathways, energy production, redox status, increased susceptibility to ischemia, and extracellular matrix remodeling. The close relationship between type 2 DM and CVD has led to the common soil hypothesis, postulating that both conditions share common genetic and environmental factors influencing this association. However, although the common risk factors of both CVD and type 2 DM, such as obesity, insulin resistance, dyslipidemia, inflammation, and thrombophilia, can be identified in the majority of affected patients, less is known about how these factors influence both conditions, so that efforts are still needed for a more comprehensive understanding of this relationship. The genetic, epigenetic, and environmental backgrounds of both type 2 DM and CVD have been more recently studied and updated. However, the underlying pathogenetic mechanisms have seldom been investigated within the broader shared background, but rather studied in the specific context of type 2 DM or CVD, separately. As the precise pathophysiological links between type 2 DM and CVD are not entirely understood and many aspects still require elucidation, an integrated description of the genetic, epigenetic, and environmental influences involved in the concomitant development of both diseases is of paramount importance to shed new light on the interlinks between type 2 DM and CVD. This review addresses the current knowledge of overlapping genetic and epigenetic aspects in type 2 DM and CVD, including microRNAs and long non-coding RNAs, whose abnormal regulation has been implicated in both disease conditions, either etiologically or as cause for their progression. Understanding the links between these disorders may help to drive future research toward an integrated pathophysiological approach and to provide future directions in the field.

X Demographics

X Demographics

The data shown below were collected from the profiles of 117 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 607 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 607 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 56 9%
Student > Master 53 9%
Student > Ph. D. Student 50 8%
Student > Postgraduate 31 5%
Researcher 27 4%
Other 79 13%
Unknown 311 51%
Readers by discipline Count As %
Medicine and Dentistry 104 17%
Biochemistry, Genetics and Molecular Biology 69 11%
Nursing and Health Professions 29 5%
Agricultural and Biological Sciences 22 4%
Pharmacology, Toxicology and Pharmaceutical Science 17 3%
Other 41 7%
Unknown 325 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 118. 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 23 February 2024.
All research outputs
#371,641
of 26,237,895 outputs
Outputs from Frontiers in endocrinology
#88
of 13,395 outputs
Outputs of similar age
#8,348
of 456,450 outputs
Outputs of similar age from Frontiers in endocrinology
#3
of 109 outputs
Altmetric has tracked 26,237,895 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,395 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 99% of its peers.
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 456,450 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.