<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-17T20:45:10Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2445/164099" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2445/164099</identifier><datestamp>2025-12-04T22:43:52Z</datestamp><setSpec>com_2072_1057</setSpec><setSpec>col_2072_478825</setSpec><setSpec>col_2072_478917</setSpec><setSpec>col_2072_478924</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Biomarkers of Morbid Obesity and Prediabetes by Metabolomic Profiling of Human Discordant Phenotypes</dc:title>
   <dc:creator>Tulipani, Sara</dc:creator>
   <dc:creator>Palau Rodríguez, Magalí</dc:creator>
   <dc:creator>Miñarro Alonso, Antonio</dc:creator>
   <dc:creator>Cardona, Fernando</dc:creator>
   <dc:creator>Marco Ramell, Anna</dc:creator>
   <dc:creator>Zonja, Bozo</dc:creator>
   <dc:creator>López de Alda, Miren</dc:creator>
   <dc:creator>Muñoz-Garach, Araceli</dc:creator>
   <dc:creator>Sànchez, Àlex (Sànchez Pla)</dc:creator>
   <dc:creator>Tinahones, Francisco J.</dc:creator>
   <dc:creator>Andrés Lacueva, Ma. Cristina</dc:creator>
   <dc:subject>Obesitat</dc:subject>
   <dc:subject>Marcadors bioquímics</dc:subject>
   <dc:subject>Diabetis no-insulinodependent</dc:subject>
   <dc:subject>Resistència a la insulina</dc:subject>
   <dc:subject>Espectrometria de masses</dc:subject>
   <dc:subject>Metabolisme</dc:subject>
   <dc:subject>Fenotip</dc:subject>
   <dc:subject>Metabolòmica</dc:subject>
   <dc:subject>Obesity</dc:subject>
   <dc:subject>Biochemical markers</dc:subject>
   <dc:subject>Non-insulin-dependent diabetes</dc:subject>
   <dc:subject>Insulin resistance</dc:subject>
   <dc:subject>Mass spectrometry</dc:subject>
   <dc:subject>Metabolism</dc:subject>
   <dc:subject>Phenotype</dc:subject>
   <dc:subject>Metabolomics</dc:subject>
   <dc:description>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&lt;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.</dc:description>
   <dc:date>2020-06-03T07:55:07Z</dc:date>
   <dc:date>2020-06-03T07:55:07Z</dc:date>
   <dc:date>2016-10-05</dc:date>
   <dc:date>2020-06-03T07:55:07Z</dc:date>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:type>info:eu-repo/semantics/acceptedVersion</dc:type>
   <dc:identifier>0009-8981</dc:identifier>
   <dc:identifier>https://hdl.handle.net/2445/164099</dc:identifier>
   <dc:identifier>664841</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>Versió postprint del document publicat a: https://doi.org/10.1016/j.cca.2016.10.005</dc:relation>
   <dc:relation>Clinica Chimica Acta, 2016, vol. 463, p. 53-61</dc:relation>
   <dc:relation>https://doi.org/10.1016/j.cca.2016.10.005</dc:relation>
   <dc:rights>cc-by-nc-nd (c) Elsevier B.V., 2016</dc:rights>
   <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:format>9 p.</dc:format>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Elsevier B.V.</dc:publisher>
   <dc:source>Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)</dc:source>
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