Results 31 to 40 of about 147,725 (290)

Thigh fat and muscle each contribute to excess cardiometabolic risk in South Asians, independent of visceral adipose tissue. [PDF]

, 2014
OBJECTIVE: To compare fat distribution and associations between fat depots and cardiometabolic traits in South Asians and Europeans. METHODS: Five hundred and fourteen South Asians and 669 Europeans, aged 56-86.
Chaturvedi, N, Eastwood, SV, Forouhi, NG, Godsland, I, Hughes, AD, Mayet, J, Tillin, T, Whincup, P, Wright, A   +8 more
core   +1 more source

Histone Deacetylases and Cardiometabolic Diseases [PDF]

Arteriosclerosis, Thrombosis, and Vascular Biology, 2015
Cardiometabolic disease, emerging as a worldwide epidemic, is a combination of metabolic derangements leading to type 2 diabetes mellitus and cardiovascular disease. Genetic and environmental factors are linked through epigenetic mechanisms to the pathogenesis of cardiometabolic disease.
Kan Hui, Yiew, Tapan K, Chatterjee, David Y, Hui, Neal L, Weintraub   +3 more
openaire   +2 more sources

Magnesium Deficiency and Cardiometabolic Disease

Nutrients, 2023
Magnesium (Mg2+) has many physiological functions within the body. These include important roles in maintaining cardiovascular functioning, where it contributes to the regulation of cardiac excitation–contraction coupling, endothelial functioning and haemostasis.
Remi Fritzen, Amy Davies, Miriam Veenhuizen, Matthew Campbell, Samantha J. Pitt, Ramzi A. Ajjan, Alan J. Stewart   +6 more
openaire   +3 more sources

Identification of Key Genes as Early Warning Signals of Acute Myocardial Infarction Based on Weighted Gene Correlation Network Analysis and Dynamic Network Biomarker Algorithm

Frontiers in Immunology, 2022
PurposeThe specific mechanisms and biomarkersunderlying the progression of stable coronary artery disease (CAD) to acute myocardial infarction (AMI) remain unclear.
Chenxi Song, Chenxi Song, Zheng Qiao, Zheng Qiao, Luonan Chen, Jing Ge, Rui Zhang, Rui Zhang, Sheng Yuan, Sheng Yuan, Xiaohui Bian, Xiaohui Bian, Chunyue Wang, Chunyue Wang, Qianqian Liu, Qianqian Liu, Lei Jia, Lei Jia, Rui Fu, Rui Fu, Kefei Dou, Kefei Dou   +21 more
doaj   +1 more source

Waist-to-height ratio and cardiometabolic risk factors in adolescence: findings from a prospective birth cohort [PDF]

, 2014
What is already known about this subject In adults, associations between body mass index (BMI), waist-to-height ratio (WHtR) and cardiometabolic outcomes are similar.
Baur, L.A., Cowell, C.T., Garnett, S.P., Graves, L., Lawlor, D.A., Ness, A., Sattar, N.   +6 more
core   +2 more sources

Ethnic differences in adiposity and diabetes risk – insights from genetic studies [PDF]

, 2020
Type 2 diabetes is more common in non-Europeans and starts at a younger age and at lower BMI cut-offs. This review discusses the insights from genetic studies about pathophysiological mechanisms which determine risk of disease with a focus on the role of
Bell, J.D., Bell, J.D., Thomas, E.L., Thomas, E.L., Whitcher, B., Whitcher, B., Yaghootkar, H., Yaghootkar, H.   +7 more
core   +2 more sources

CaMKII in Cardiometabolic Disease

Aging, 2014
The worldwide epidemic of obesity is closely linked to insulin resistance and type 2 diabetes (T2D), which have led to a critical need for new drug development. Insulin resistance and T2D contribute to the pathogenesis of many diseases including fatty liver disease, cardiovascular disease, kidney failure and retinal disease.
Lale, Ozcan, Ira, Tabas
openaire   +2 more sources

Hypertension and cardiometabolic disease

Frontiers in Bioscience, 2018
Hypertension has  a central role in cardiometabolic disease and is usually associated with  metabolic disorders, such as insulin resistance, obesity, and dyslipidemia. Hyperinsulinemia may increase cardiovascular (CV) risk through its promotion of hypertension, which is possibly a result of chronic enhancement of sympathetic nervous system activity ...
Ivan, Tasic, Dragan, Lovic
openaire   +2 more sources

Combined effects of time spent in physical activity, sedentary behaviors and sleep on obesity and cardio-metabolic health markers: a novel compositional data analysis approach [PDF]

, 2015
The associations between time spent in sleep, sedentary behaviors (SB) and physical activity with health are usually studied without taking into account that time is finite during the day, so time spent in each of these behaviors are codependent ...
A Buccianti, A Lobo, AA Thorp, AA Thorp, C Maher, CE Matthews, CM Kotz, Dawn A. Skelton, DK McGuire, DP Bailey, DW Dunstan, DW Dunstan, E Stamatakis, E Von Elm, EG Wilmot, ES Ford, F Chayes, FP Cappuccio, FP Cappuccio, FP Cappuccio, GN Healy, GN Healy, J Aitchinson, J Henson, J Honaker, J Kim, JA Levine, Javier Palarea-Albaladejo, JC Montero-Serrano, Joseph Devaney, K Hron, K Pearson, KI Proper, KR Westerterp, LFM De Rezende, M Hamer, MA Grandner, MA Grandner, MA Miller, Manon L. Dontje, MC Peddie, MER Pierotti, MJ Carvalho, MP Buman, N Owen, NJ Stone, P Bansil, PD Loprinzi, PS Freedson, PT Katzmarzyk, R Mora-Rodriguez, R Ros-Freixedes, RE Rhodes, RP Troiano, S Chastin, Sebastien F. M. Chastin, SFM Chastin, U Ekelund, V Pawlowsky-Glahn, WL Haskell, Zeljko Pedisic   +60 more
core   +7 more sources

Compositional analyses of the associations between sedentary time, different intensities of physical activity, and cardiometabolic biomarkers among children and youth from the United States [PDF]

, 2019
Introduction : Compositional data analysis is one appropriate method for co-dependent data, even when data are collected for a subdivision of the 24-hour period, such as the waking day.
Carson, Valerie, Chaput, Jean-Philippe, Chastin, Sebastien, McGregor, Duncan, Tremblay, Mark S.   +4 more
core   +2 more sources