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Context
For a given body mass index (BMI), both impaired metabolic health (MH) and reduced cardiorespiratory fitness (CRF) associate with increased risk of cardiovascular disease (CVD).
Objective
It remains unknown whether both risk phenotypes relate to CVD independently of each other, and whether these relationships differ in normal weight, overweight, and obese subjects.
Methods
Data from 421 participants from the Tubingen Diabetes Family Study, who had measurements of anthropometrics, metabolic parameters, CRF (maximal aerobic capacity [VO2max]) and carotid intima-media thickness (cIMT), an early marker of atherosclerosis, were analyzed. Subjects were divided by BMI and MH status into 6 phenotypes.
Results
In univariate analyses, older age, increased BMI, and a metabolic risk profile correlated positively, while insulin sensitivity and VO2max negatively with cIMT. In multivariable analyses in obese subjects, older age, male sex, lower VO2max (std. ss -0.21, P = 0.002) and impaired MH (std. ss 0.13, P = 0.02) were independent determinants of increased cIMT. After adjustment for age and sex, subjects with metabolically healthy obesity (MHO) had higher cIMT than subjects with metabolically healthy normal weight (MHNW; 0.59 +/- 0.009 vs 0.52 +/- 0.01 mm; P < 0.05). When VO2max was additionally included in this model, the difference in cIMT between MHO and MHNW groups became statistically nonsignificant (0.58 +/- 0.009 vs 0.56 +/- 0.02 mm; P > 0.05).
Conclusion
These data suggest that impaired MH and low CRF independently determine increased cIMT in obese subjects and that low CRF may explain part of the increased CVD risk observed in MHO compared with MHNW.
Background: Cardiovascular diseases are the leading cause of death in developed countries. The underlying mechanism is often atherosclerotic remodeling of blood vessels in organs such as heart, kidney, brain, and large arteries in case of peripheral arterial disease. Beside environmental and behavioral factors such as smoking or lack of physical activity, genetic variants in genes involved in lipid metabolism, blood pressure regulation, oxidative stress, and coagulation play a prominent role in the pathogenesis of atherosclerosis.
Methods: Thus, we developed and validated for clinical use and research a macroarray system for the simultaneous detection of key genetic variants in genes involved in lipid metabolism, blood pressure regulation, oxidative stress, and coagulation.
Results: When compared with standard PCR technologies to determine all these genetic variants in parallel, the macroarray system (MutaCHIP (R) ARTERO) was as accurate but faster, cheaper, and easier to handle compared to classical real time PCR based technologies.
Conclusions: MutaCHIP (R) ARTERO is a gene chip for diagnostics of a complex genetic panel involved in the pathogenesis of atherosclerosis. This method is as sensitive and precise as real time PCR and is able to replicate real time PCR data previously validated in evaluation studies.