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In Vivo and In Vitro Analysis in Coronary Artery Disease Related to Type 2 Diabetes

Overview of attention for article published in Frontiers in endocrinology, August 2017
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Title
In Vivo and In Vitro Analysis in Coronary Artery Disease Related to Type 2 Diabetes
Published in
Frontiers in endocrinology, August 2017
DOI 10.3389/fendo.2017.00209
Pubmed ID
Authors

Teresa Infante, Ernesto Forte, Marco Aiello, Marco Salvatore, Carlo Cavaliere

Abstract

The leading cause of morbidity and mortality in patients with type 2 diabetes mellitus (DM) is coronary artery disease (CAD), a condition often asymptomatic but severe in these patients. Although glucose metabolism impairment and oxidative stress are known actors in the endothelial dysfunction/remodeling that occurs in diabetic patients, the relationship between cardiovascular disorders and DM is not fully understood. We have performed both an in vivo imaging and in vitro molecular analysis to investigate diabetic-specific CAD alterations. Computed tomography coronary angiography (CTCA) was performed in a group of 20 diabetic patients with CAD (DM(+)CAD(+)), 20 non-diabetic with CAD (DM(-)CAD(+)), 10 diabetic non-CAD patients (DM(+)CAD(-)), and 20 non-diabetic healthy subjects (HS). Imaging quantitative parameters such as calcium score (Cascore), calcified plaque volume (CPV), non-calcified plaque volume (NCPV), total plaque volume (TPV), remodeling index (RI), and plaque burden were extracted for each CAD subject. Moreover, the expression levels of superoxide dismutase 2 (SOD2) and liver X receptor alpha (LXRα) genes were analyzed in the peripheral blood mononuclear cells, whereas hyaluronan (HA) concentrations were evaluated in the plasma of each subject. Imaging parameters, such as Cascore, CPV, RI, and plaque burden, were significantly higher in DM(+)CAD(+) group, compared to DM(-)CAD(+) (P = 0.019; P = 0.014; P < 0.001, P < 0.001, respectively). SOD2 mRNA was downregulated, while LXRα gene expression was upregulated in DM(+)CAD(-), DM(+)CAD(+), and DM(-)CAD(+) groups compared to HS (P = 0.001, P = 0.03, and P = 0.001 for SOD2 and P = 0.006, P = 0.008, and P < 0.001 for LXRα, respectively). Plasmatic levels of HA were higher in DM(-)CAD(+), DM(+)CAD(-), and DM(+)CAD(+) groups, compared to HS (P = 0.001 for the three groups). When compared to DM(-)CAD(+), HA concentration was higher in DM(+)CAD(-) (P = 0.008) and DM(+)CAD(+) (P < 0.001) with a significant difference between the two diabetic groups (P = 0.003). Moreover, HA showed a significant association with diabetes (P = 0.01) in the study population, and the correlation between HA levels and glycemia was statistically significant (ρ = 0.73, P < 0.001). In our population, imaging parameters highlight a greater severity of CAD in diabetic patients. Among molecular parameters, HA is modulated by diabetic CAD-related alterations while SOD2 and LXRα are found to be more associated with CAD but do not discriminate between diabetic and non-diabetic subgroups.

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Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 20%
Student > Master 5 17%
Student > Bachelor 4 13%
Other 2 7%
Student > Doctoral Student 1 3%
Other 3 10%
Unknown 9 30%
Readers by discipline Count As %
Medicine and Dentistry 10 33%
Biochemistry, Genetics and Molecular Biology 5 17%
Agricultural and Biological Sciences 2 7%
Nursing and Health Professions 1 3%
Arts and Humanities 1 3%
Other 2 7%
Unknown 9 30%
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 21 August 2017.
All research outputs
#22,963,239
of 25,604,262 outputs
Outputs from Frontiers in endocrinology
#8,475
of 13,243 outputs
Outputs of similar age
#286,314
of 326,175 outputs
Outputs of similar age from Frontiers in endocrinology
#79
of 108 outputs
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