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      Biomarkers of Morbid Obesity and Prediabetes by Metabolomic Profiling of Human Discordant Phenotypes.

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          Abstract

          Metabolomic studies aimed to dissect the connection between the development of type 2 diabetes and obesity are still scarce. In the present study, fasting serum from sixty-four adult individuals classified into four sex-matched groups by their BMI [non-obese versus morbid obese] and the increased risk of developing diabetes [prediabetic insulin resistant state versus non-prediabetic non-insulin resistant] was analyzed by LC- and FIA-ESI-MS/MS-driven metabolomic approaches. Altered levels of [lyso]glycerophospholipids was the most specific metabolic trait associated to morbid obesity, particularly lysophosphatidylcholines acylated with margaric, oleic and linoleic acids [lysoPC C17:0: R=-0.56, p=0.0003; lysoPC C18:1: R=-0.61, p=0.0001; lysoPC C18:2 R=-0.64, p<0.0001]. Several amino acids were biomarkers of risk of diabetes onset associated to obesity. For instance, glutamate significantly associated with fasting insulin [R=0.5, p=0.0019] and HOMA-IR [R=0.46, p=0.0072], while glycine showed negative associations [fasting insulin: R=-0.51, p=0.0017; HOMA-IR: R=-0.49, p=0.0033], and the branched chain amino acid valine associated to prediabetes and insulin resistance in a BMI-independent manner [fasting insulin: R=0.37, p=0.0479; HOMA-IR: R=0.37, p=0.0468]. Minority sphingolipids including specific [dihydro]ceramides and sphingomyelins also associated with the prediabetic insulin resistant state, hence deserving attention as potential targets for early diagnosis or therapeutic intervention.

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          Author and article information

          Journal
          Clin. Chim. Acta
          Clinica chimica acta; international journal of clinical chemistry
          Elsevier BV
          1873-3492
          0009-8981
          Dec 01 2016
          : 463
          Affiliations
          [1 ] Biomarkers & Nutrimetabolomic Lab, Nutrition & Food Science Dept, XaRTA, INSA, Campus Torribera, Pharmacy and Food Science Faculty, University of Barcelona, 08028, Spain; Biomedical Research Institute [IBIMA], Service of Endocrinology and Nutrition, Malaga Hospital Complex [Virgen de la Victoria], Campus de Teatinos s/n, Malaga, Spain. Electronic address: sara.tulipani@ub.edu.
          [2 ] Biomarkers & Nutrimetabolomic Lab, Nutrition & Food Science Dept, XaRTA, INSA, Campus Torribera, Pharmacy and Food Science Faculty, University of Barcelona, 08028, Spain.
          [3 ] Statistics Department, Biology Faculty, University of Barcelona, 08028, Spain.
          [4 ] Biomedical Research Institute [IBIMA], Service of Endocrinology and Nutrition, Malaga Hospital Complex [Virgen de la Victoria], Campus de Teatinos s/n, Malaga, Spain; CIBER Fisiopatología de la Obesidad y Nutrición [CIBERobn], Instituto de Salud Carlos III [ISCIII], Madrid, Spain.
          [5 ] Water and Soil Quality Research Group, Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research [IDAEA-CSIC], Barcelona, Spain.
          [6 ] Statistics Department, Biology Faculty, University of Barcelona, 08028, Spain; Statistics and Bioinformatics Unit Vall d'Hebron Institut de Recerca [VHIR], 08035, Spain.
          [7 ] Biomarkers & Nutrimetabolomic Lab, Nutrition & Food Science Dept, XaRTA, INSA, Campus Torribera, Pharmacy and Food Science Faculty, University of Barcelona, 08028, Spain. Electronic address: candres@ub.edu.
          Article
          S0009-8981(16)30402-8
          10.1016/j.cca.2016.10.005
          27720726
          f4194345-e33f-4598-93e2-ba0c391f7cdc
          History

          observational study,prediabetes,metabolic markers,mass spectrometry,obesity

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