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Clin Chim Acta. 2016 Dec 1;463:53-61. doi: 10.1016/j.cca.2016.10.005. Epub 2016 Oct 5.

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

Author information

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.

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.

KEYWORDS:

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

PMID:
27720726
DOI:
10.1016/j.cca.2016.10.005
[Indexed for MEDLINE]

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