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dc.contributor.authorSanz Fernández, María Victoria
dc.contributor.authorTorres Rovira, Laura
dc.contributor.authorPesantez Pacheco, Jose Luis
dc.contributor.authorGarcia Contreras, Consolacion
dc.contributor.authorAstiz, Susana
dc.contributor.authorGonzalez Bulnes, Antonio
dc.date.accessioned2020-06-10T22:11:13Z-
dc.date.available2020-06-10T22:11:13Z-
dc.date.issued2020
dc.identifier.issn2218-1989
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85081234629&origin=resultslist&sort=cp-f&src=s&st1=A+Cross-Sectional+Study+of+Obesity+Effects+on+the+Metabolomic+Profile+of+a+Leptin-Resistant+Swine+Model&sid=9f159621dc45443f681ffcd99239d565&sot=b&sdt=b&sl=118&s=TITLE-ABS-KEY%28A+Cross-Sectional+Study+of+Obesity+Effects+on+the+Metabolomic+Profile+of+a+Leptin-Resistant+Swine+Model%29&relpos=0&citeCnt=2&searchTerm=
dc.descriptionIdentifying metabolite signatures associated with obesity and related diseases might represent a valuable preventive and therapeutic tool to predict subjects at risk, establish an accurate prognosis, and monitor treatment success. The current cross-sectional study is aimed to evaluate the metabolite profile of diet-induced obesity in a porcine model of leptin resistance. Six Iberian female pigs prone to develop obesity (OB) were ad libitum fed a fat-enriched diet (HFD) for 82 days. Five lean Iberian sows (CON) in a maintenance diet served as controls. At the end of the dietary treatments, all animals were sacrificed, and plasma, liver, and muscle samples were immediately collected for nuclear magnetic resonance analysis. In plasma, signals corresponding to betaine, glycerophosphocholine/phosphocholine, glycine, and glutamate were decreased; and the valine signal was increased in OB sows compared to controls. Similarly, the betaine signal was decreased in the liver. No differences were detected in muscle. The observed metabolite changes suggest alterations in branched chain amino-acid metabolism and the methionine-homocysteine cycle, which have been previously associated with obesity-related diseases and type 2 diabetes in human observational studies. The current study supports the utilization of the leptin resistant Iberian pig for further interventional research in the field.
dc.description.abstractIdentifying metabolite signatures associated with obesity and related diseases might represent a valuable preventive and therapeutic tool to predict subjects at risk, establish an accurate prognosis, and monitor treatment success. The current cross-sectional study is aimed to evaluate the metabolite profile of diet-induced obesity in a porcine model of leptin resistance. Six Iberian female pigs prone to develop obesity (OB) were ad libitum fed a fat-enriched diet (HFD) for 82 days. Five lean Iberian sows (CON) in a maintenance diet served as controls. At the end of the dietary treatments, all animals were sacrificed, and plasma, liver, and muscle samples were immediately collected for nuclear magnetic resonance analysis. In plasma, signals corresponding to betaine, glycerophosphocholine/phosphocholine, glycine, and glutamate were decreased; and the valine signal was increased in OB sows compared to controls. Similarly, the betaine signal was decreased in the liver. No differences were detected in muscle. The observed metabolite changes suggest alterations in branched chain amino-acid metabolism and the methionine-homocysteine cycle, which have been previously associated with obesity-related diseases and type 2 diabetes in human observational studies. The current study supports the utilization of the leptin resistant Iberian pig for further interventional research in the field.
dc.language.isoes_ES
dc.sourceMetabolites
dc.subjectIberian pig
dc.subjectMetabolic syndrome
dc.subjectMetabolite profile
dc.subjectMetabolomics
dc.subjectObesity
dc.titleA cross-sectional study of obesity effects on the metabolomic profile of a leptin-resistant swine model
dc.typeARTÍCULO
dc.ucuenca.idautor0000-0002-0678-1149
dc.ucuenca.idautor0000-0003-1467-7533
dc.ucuenca.idautor0104911193
dc.ucuenca.idautor0000-0003-4624-2585
dc.ucuenca.idautor0000-0002-9718-0903
dc.ucuenca.idautor0000-0002-0917-4475
dc.identifier.doi10.3390/metabo10030089
dc.ucuenca.versionVersión publicada
dc.ucuenca.areaconocimientounescoamplio08 - Agricultura, Silvicultura, Pesca y Veterinaria
dc.ucuenca.afiliacionSanz, M., Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, España
dc.ucuenca.afiliacionTorres, L., Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, España
dc.ucuenca.afiliacionPesantez, J., Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, España; Pesantez, J., Universidad de Cuenca, Facultad de Ciencias Agropecuarias, Cuenca, Ecuador
dc.ucuenca.afiliacionGarcia, C., Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, España
dc.ucuenca.afiliacionAstiz, S., Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, España
dc.ucuenca.afiliacionGonzalez, A., Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, España; Gonzalez, A., Universidad Complutense de Madrid, Madrid, España
dc.ucuenca.volumenVolumen 10, número 3
dc.ucuenca.indicebibliograficoSCOPUS
dc.ucuenca.factorimpacto0.967
dc.ucuenca.cuartilQ2
dc.ucuenca.numerocitaciones0
dc.ucuenca.areaconocimientofrascatiamplio4. Ciencias Agrícolas
dc.ucuenca.areaconocimientofrascatiespecifico4.3 Medicina Veterinaria
dc.ucuenca.areaconocimientofrascatidetallado4.3.1 Ciencias veterinarias
dc.ucuenca.areaconocimientounescoespecifico084 - Veterinaria
dc.ucuenca.areaconocimientounescodetallado0841 - Veterinaria
dc.ucuenca.urifuentehttps://www.mdpi.com/2218-1989/10/3
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