D link dir 655 validating identity


17-Oct-2016 01:15

The blood was fractionated into serum, plasma, buffy coat and erythrocytes, aliquoted into straws of 0.5 ml, and stored in liquid nitrogen tanks at −196 °C until analysis.In this cross-sectional study we excluded participants with missing anthropometric measurements, missing blood samples or biomarker measurement, missing covariate information and participants with prevalent chronic diseases.The metabolic consequences of type of body shape need further exploration.Whereas accumulation of body mass in the abdominal area is a well-established metabolic risk factor, accumulation in the gluteofemoral area is controversially debated.However, in both sexes HC highly correlates with subcutaneous fat.The metabolic state particularly related with body shape is not fully understood.

d link dir 655 validating identity-79

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Using BMI to classify excess body fat is based on the assumption that at a given height, higher weight is associated with increased fatness.

We evaluated the associations of anthropometric markers of overall body mass and body shape with 127 serum metabolites within a sub-sample of the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam cohort.

The cross-sectional analysis was conducted in 2270 participants, randomly drawn from the EPIC-Potsdam cohort.

It is assumed that the accumulation of visceral fat has an important etiological role for weight-associated metabolic disorders, In the present study, we aimed to gain a broader understanding of the metabolic state related to body mass in general and body shape in particular.

Therefore, we evaluated the associations of anthropometric markers of overall body mass and body shape with 127 targeted metabolites in chronic disease-free individuals within a sub-sample of the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam cohort.

Correlations revealed 23 metabolites related to BMI (r included tyrosine, diacyl-phosphatidylcholine C38:3, C38:4, lyso-phosphatidylcholine C18:1, C18:2 and sphingomyelin C18:1; metabolites with opposite relations included isoleucine, diacyl-phosphatidylcholine C42:0, acyl–alkyl-phosphatidylcholine C34:3, C42:4, C42:5, C44:4 and C44:6.



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