2020-06-03T07:55:07Z
2020-06-03T07:55:07Z
2016-10-05
2020-06-03T07:55:07Z
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.
Article
Accepted version
English
Obesitat; Marcadors bioquímics; Diabetis no-insulinodependent; Resistència a la insulina; Espectrometria de masses; Metabolisme; Fenotip; Metabolòmica; Obesity; Biochemical markers; Non-insulin-dependent diabetes; Insulin resistance; Mass spectrometry; Metabolism; Phenotype; Metabolomics
Elsevier B.V.
Versió postprint del document publicat a: https://doi.org/10.1016/j.cca.2016.10.005
Clinica Chimica Acta, 2016, vol. 463, p. 53-61
https://doi.org/10.1016/j.cca.2016.10.005
cc-by-nc-nd (c) Elsevier B.V., 2016
http://creativecommons.org/licenses/by-nc-nd/3.0/es