<?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>2026-04-29T04:09:45Z</responseDate><request verb="GetRecord" identifier="oai:repisalud.isciii.es:20.500.12105/22731" metadataPrefix="mets">https://repisalud.isciii.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:repisalud.isciii.es:20.500.12105/22731</identifier><datestamp>2024-11-29T07:25:21Z</datestamp><setSpec>com_20.500.12105_15322</setSpec><setSpec>com_20.500.12105_2051</setSpec><setSpec>col_20.500.12105_16967</setSpec></header><metadata><mets xmlns="http://www.loc.gov/METS/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" ID="&#xa;&#x9;&#x9;&#x9;&#x9;DSpace_ITEM_20.500.12105-22731" TYPE="DSpace ITEM" PROFILE="DSpace METS SIP Profile 1.0" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd" OBJID="&#xa;&#x9;&#x9;&#x9;&#x9;hdl:20.500.12105/22731">
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                  <mods:namePart>Galmés, Sebastià</mods:namePart>
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                  <mods:namePart>Cifre, Margalida</mods:namePart>
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                  <mods:namePart>Palou, Andreu</mods:namePart>
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                  <mods:namePart>Oliver, Paula</mods:namePart>
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               <mods:name>
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                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Serra, Francisca</mods:namePart>
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                  <mods:dateAccessioned encoding="iso8601">2024-09-10T13:09:01Z</mods:dateAccessioned>
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                  <mods:dateIssued encoding="iso8601">2019-02</mods:dateIssued>
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               <mods:identifier type="citation">Galmés Monroig S, Cifre M, Palou Oliver A, Oliver P, Serra F. A Genetic Score of Predisposition to Low-Grade Inflammation Associated with Obesity May Contribute to Discern Population at Risk for Metabolic Syndrome. Nutrients. 2019 Feb;11(2):298.</mods:identifier>
               <mods:identifier type="issn">2072-6643</mods:identifier>
               <mods:identifier type="other">http://hdl.handle.net/20.500.13003/17664</mods:identifier>
               <mods:identifier type="uri">https://hdl.handle.net/20.500.12105/22731</mods:identifier>
               <mods:identifier type="pubmedID">30704070</mods:identifier>
               <mods:identifier type="doi">10.3390/nu11020298</mods:identifier>
               <mods:identifier type="journal">Nutrients</mods:identifier>
               <mods:identifier type="scopus">2-s2.0-85060951418</mods:identifier>
               <mods:identifier type="wos">460829700089</mods:identifier>
               <mods:identifier type="pui">L2001523709</mods:identifier>
               <mods:abstract>Omega-3 rich diets have been shown to improve inflammatory status. However, in an ex vivo system of human blood cells, the efficacy of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) modulating lipid metabolism and cytokine response is attenuated in overweight subjects and shows high inter-individual variability. This suggests that obesity may be exerting a synergistic effect with genetic background disturbing the anti-inflammatory potential of omega-3 long-chain polyunsaturated fatty acids (PUFA). In the present work, a genetic score aiming to explore the risk associated to low grade inflammation and obesity (LGI-Ob) has been elaborated and assessed as a tool to contribute to discern population at risk for metabolic syndrome. Pro-inflammatory gene expression and cytokine production as a response to omega-3 were associated with LGI-Ob score; and lower anti-inflammatory effect of PUFA was observed in subjects with a high genetic score. Furthermore, overweight/obese individuals showed positive correlation of both plasma C-Reactive Protein and triglyceride/HDLc-index with LGI-Ob; and high LGI-Ob score was associated with greater hypertension (p = 0.047), Type 2 diabetes (p = 0.026), and metabolic risk (p = 0.021). The study shows that genetic variation can influence inflammation and omega-3 response, and that the LGI-Ob score could be a useful tool to classify subjects at inflammatory risk and more prone to suffer metabolic syndrome and associated metabolic disturbances.</mods:abstract>
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                  <mods:languageTerm authority="rfc3066">eng</mods:languageTerm>
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               <mods:subject>
                  <mods:topic>Genetic score</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Obesity</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Metabolic syndrome</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Low-grade inflammation</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Type 2 diabetes</mods:topic>
               </mods:subject>
               <mods:titleInfo>
                  <mods:title>A Genetic Score of Predisposition to Low-Grade Inflammation Associated with Obesity May Contribute to Discern Population at Risk for Metabolic Syndrome</mods:title>
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               <mods:genre>research article</mods:genre>
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