Session: MON 596-630-Pediatric Endocrinology
Poster Board MON-604
Aims:To assess the metabolic profile of children born after ICSI in comparison to naturally conceived (NC) controls using standard biochemical metabolic markers and metabolomics.
Subjects and Methods: Metabolic profiles of plasma samples from 10 ICSI and 10 NC pre-pubertal female children matched for age and parity were analysed. Along with anthropometric (height, weight, BMI, blood pressure, WHR, etc) and standard laboratory parameters (glucose, lipids, insulin, etc), we measured the metabolic profiles of the subjects using GC-MS (Gas Chromatography-Mass spectrometry).
After appropriate normalization, the profiles of 72 metabolites were analyzed using multivariate statistical algorithms as implemented in TM4/MeV and ΧLSTAT software. The identified metabolic differences between the two groups were visualized by positioning the metabolites, the concentration of which was identified as significantly discriminatory, on the reconstructed inter-organ metabolic network.
Results: Partial least squares discriminant analysis (PLS-DA) of the metabolic parameters indicated that the two groups can be distinguished based on their 72 metabolite profiles. The separation was markedly augmented when the two datasets were compared with respect to both the metabolomics and the standard biochemical markers. Significance analysis for microarrays (SAM) indicated 38 metabolites and 2 standard biochemical markers with significantly different circulating concentrations in the ICSI group, most of them having been associated earlier with obesity, insulin resistance, and metabolic syndrome.
Conclusions: The results support an increased risk for insulin resistance in children conceived by ICSI, even before any standard biochemical abnormalities become evident. They demonstrate the usefulness of metabolomics in providing a high resolution perspective of the metabolic state, enabling the determination of characteristic metabolic profiles in complex physiological conditions.
Nothing to Disclose: AG, IK, AT, AM, IP, MK, DL, GM, MIK, CK, GPC
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