Differences in the Serum's Metabolomics in Patients with High Plasma Atherogenic Index and Healthy Controls. Preliminary Results

Abstract

Obesity is ones of the majors public health problems around the world, according to the World Health Organization, there were 1.9 billions adults with overweight or obesity. As we know, weight gain is associated with an increase in cardiovascular risk. The Atherogenic Index of Plasma (AIP) is the log transformation of the ratio form triglycerides between HDL cholesterol in serum. This ratio is a good measurement for the cardiovascular risk, when result >0.5 the risk for cardiovascular diseases is high. Until now metabolomics is a good tool to identify previous risk to any diseases, like gastrointestinal, immunological and cardiovascular. The aim was to compare the serum's metabolomics in patients with high plasma atherogenic index and healthy controls. We designed a case‐control study with the participation of 35 patients (12 cases and 23 controls), who complete the selection criteria (both sex, 18–75 years old, and without other diseases) and signed informed consent duly explained approved by the ethics committee. We collected anthropometric data as: weight, height and body composition; and biochemical data: HDL, LDL, total cholesterol, and triglycerides, for the calculation of AIP. For establish the differences in the serum's metabolomics and identify the most important variables of the group we did a Principal Component Analysis (PCA), random forest and Partial Least Squares (PLS) in R statics software. Results and Conclusion: The cases showed more waist circumference, triglycerides, HDL, total cholesterol, and IAP, these differences were statistically significant. (Table 1). We identify 5 principal components (56.3% variance explicated) the more representative metabolites in the cases were: 1‐Hexane,3–4 dimethyl and Heptane,2,3, dimethyl. For the controls, Cyclopentane methyl and 2H‐Pyran, Tetrahydro, more studies are necessaries for confirms these findings.Support or Funding InformationThe authors acknowledge grants from National Council for Science and Technology—National Problems (# 2015‐1340) and Infrastructure‐CONACYT (#2015‐253004).This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.