Publication: Gene-environment interaction analysis of redox-related metals and genetic variants with plasma metabolic patterns in a general population from Spain: The Hortega Study
| dc.contributor.author | Galvez-Fernandez, Marta | |
| dc.contributor.author | Sanchez-Saez, Francisco | |
| dc.contributor.author | Domingo-Relloso, Arce | |
| dc.contributor.author | Rodriguez-Hernandez, Zulema | |
| dc.contributor.author | Tarazona, Sonia | |
| dc.contributor.author | González-Marrachelli, Vannina | |
| dc.contributor.author | Grau-Perez, Maria | |
| dc.contributor.author | Morales-Tatay, Jose M | |
| dc.contributor.author | Amigo, Nuria | |
| dc.contributor.author | García-Barrera, Tamara | |
| dc.contributor.author | Gomez-Ariza, Jose L | |
| dc.contributor.author | Chaves, F Javier | |
| dc.contributor.author | Garcia-Garcia, Ana Barbara | |
| dc.contributor.author | Melero, Rebeca | |
| dc.contributor.author | Tellez-Plaza, Maria | |
| dc.contributor.author | Martin-Escudero, Juan Carlos | |
| dc.contributor.author | Redon, Josep | |
| dc.contributor.author | Monleon, Daniel | |
| dc.contributor.funder | Instituto de Salud Carlos III | |
| dc.contributor.funder | Centro de Investigación Biomédica en Red - CIBEROBN (Fisiopatología de la Obesidad y Nutrición) | |
| dc.contributor.funder | Generalitat Valenciana (España) | |
| dc.contributor.funder | Junta de Castilla y León (España) | |
| dc.contributor.funder | Unión Europea. Comisión Europea | |
| dc.contributor.funder | Centro de Investigación Biomédica en Red - CIBERDEM (Diabetes y Enfermedades Metabólicas asociadas) | |
| dc.contributor.funder | Fundación La Caixa | |
| dc.contributor.funder | Ministerio de Ciencia e Innovación (España) | |
| dc.contributor.funder | Agencia Estatal de Investigación (España) | |
| dc.contributor.funder | Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF) | |
| dc.date.accessioned | 2022-11-15T11:14:00Z | |
| dc.date.available | 2022-11-15T11:14:00Z | |
| dc.date.issued | 2022-06 | |
| dc.description.abstract | Background: Limited studies have evaluated the joint influence of redox-related metals and genetic variation on metabolic pathways. We analyzed the association of 11 metals with metabolic patterns, and the interacting role of candidate genetic variants, in 1145 participants from the Hortega Study, a population-based sample from Spain. Methods: Urine antimony (Sb), arsenic, barium (Ba), cadmium (Cd), chromium (Cr), cobalt (Co), molybdenum (Mo) and vanadium (V), and plasma copper (Cu), selenium (Se) and zinc (Zn) were measured by ICP-MS and AAS, respectively. We summarized 54 plasma metabolites, measured with targeted NMR, by estimating metabolic principal components (mPC). Redox-related SNPs (N = 291) were measured by oligo-ligation assay. Results: In our study, the association with metabolic principal component (mPC) 1 (reflecting non-essential and essential amino acids, including branched chain, and bacterial co-metabolism versus fatty acids and VLDL subclasses) was positive for Se and Zn, but inverse for Cu, arsenobetaine-corrected arsenic (As) and Sb. The association with mPC2 (reflecting essential amino acids, including aromatic, and bacterial co-metabolism) was inverse for Se, Zn and Cd. The association with mPC3 (reflecting LDL subclasses) was positive for Cu, Se and Zn, but inverse for Co. The association for mPC4 (reflecting HDL subclasses) was positive for Sb, but inverse for plasma Zn. These associations were mainly driven by Cu and Sb for mPC1; Se, Zn and Cd for mPC2; Co, Se and Zn for mPC3; and Zn for mPC4. The most SNP-metal interacting genes were NOX1, GSR, GCLC, AGT and REN. Co and Zn showed the highest number of interactions with genetic variants associated to enriched endocrine, cardiovascular and neurological pathways. Conclusions: Exposures to Co, Cu, Se, Zn, As, Cd and Sb were associated with several metabolic patterns involved in chronic disease. Carriers of redox-related variants may have differential susceptibility to metabolic alterations associated to excessive exposure to metals. | es_ES |
| dc.description.peerreviewed | Sí | es_ES |
| dc.description.sponsorship | This work was supported by the Strategic Action for Research in Health sciences [CP12/03080, PI15/00071, PI10/0082, PI13/01848, PI14/00874, PI16/01402, PI21/00506 and PI11/00726], CIBER Fisio patología Obesidad y Nutrición (CIBEROBN) (CIBER-02-08-2009, CB06/03 and CB12/03/30,016), the State Agency for Research (PID2019-108973RB- C21 and C22), the Valencia Government (GRUPOS 03/101; PROMETEO/2009/029 and ACOMP/2013/039, IDI FEDER/2021/072 and GRISOLIAP/2021/119), the Castilla-Leon Government (GRS/279/A/08) and European Network of Excellence Ingenious Hypercare (EPSS-037093) from the European Commission. The Strategic Action for Research in Health sciences, CIBERDEM and CIBEROBN are initiatives from Carlos III Health Institute Madrid and cofunded with European Funds for Regional Development (FEDER). The State Agency for Research and Carlos III Health Institute belong to the Spanish Ministry of Science and Innovation. ADR received the support of a fellowship from “la Caixa” Foundation (ID 100010434) (fellowship code “LCF/BQ/DR19/11740016”). MGP received the support of a fellowship from “la Caixa” Foundation (ID 100010434, fellowship code LCFLCF/BQ/DI18/11660001). The funding bodies had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript. | es_ES |
| dc.format.page | 102314 | es_ES |
| dc.format.volume | 52 | es_ES |
| dc.identifier.citation | Redox Biol. 2022 Jun;52:102314. | es_ES |
| dc.identifier.doi | 10.1016/j.redox.2022.102314 | es_ES |
| dc.identifier.e-issn | 2213-2317 | es_ES |
| dc.identifier.journal | Redox biology | es_ES |
| dc.identifier.pubmedID | 35460952 | es_ES |
| dc.identifier.uri | http://hdl.handle.net/20.500.12105/15141 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Elsevier | |
| dc.relation.projectFECYT | info:eu-repo/grantAgreement/MINECO//PI15%2F00071/ES/Metales y arteriosclerosis subclínica: papel de la variación genética y epigenética en genes candidatos/ | es_ES |
| dc.relation.projectFECYT | info:eu-repo/grantAgreement/MINECO//PI13%2F01848/ES/FACTORES GENÉTICOS Y METABOLÓMICOS EN LA OBESIDAD MÓRBIDA Y SU MODULACIÓN TRAS INTERVENCIÓN DIETÉTICA, EJERCICIO FÍSICO Y CIRUGÍA BARIÁTRICA. ESTUDIO ESPECIAL DE P53, SIRT1 Y SISTEMAS DE REPARACIÓN DEL ADN EN LA PATOGENIA DE SUS COMPLICACIONES NEOPLÁSICAS/ | es_ES |
| dc.relation.projectFECYT | info:eu-repo/grantAgreement/MINECO//PI14%2F00874/ES/Identificación de variaciones de secuencia y de metilación e hidroximetilación en el exoma asociadas al desarrollo de diabetes tipo 2/ | es_ES |
| dc.relation.projectFECYT | info:eu-repo/grantAgreement/MINECO//PI16%2F01402/ES/Estudio experimental in vivo e in vitro y la aplicación clínica del impacto de las proteínas del complejo Rhabphilin-Rab en el desarrollo del daño renal y cardiovascular/ | es_ES |
| dc.relation.projectFECYT | info:eu-repo/grantAgreement/ISCIII/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII)/PI21%2F00506/ES/ESTUDIO MULTIFACTORIAL PARA LA IDENTIFICACION DE NUEVOS FACTORES GENETICOS Y NO GENÉTICOS MEDIANTE LA SECUENCIACION DEL EXOMA Y TÉCNICAS DE INTELIGENCIA ARTIFICIAL/ | es_ES |
| dc.relation.projectFECYT | info:eu-repo/grantAgreement/MICINN//PI11%2F00726/ES/IDENTIFICACIÓN DE VARIANTES GENÉTICAS EN EL EXOMA ASOCIADAS CON DIABETES TIPO 2/ | es_ES |
| dc.relation.projectFECYT | info:eu-repo/grantAgreement/ES/PID2019-108973RB-C21 | es_ES |
| dc.relation.projectFECYT | info:eu-repo/grantAgreement/ES/PID2019-108973RB-C22 | es_ES |
| dc.relation.projectFIS | info:eu-repo/grantAgreement/ES/CP12/03080 | es_ES |
| dc.relation.projectFIS | info:eu-repo/grantAgreement/ES/PI15/00071 | es_ES |
| dc.relation.projectFIS | info:eu-repo/grantAgreement/ES/PI10/0082 | es_ES |
| dc.relation.projectFIS | info:eu-repo/grantAgreement/ES/PI13/01848 | es_ES |
| dc.relation.projectFIS | info:eu-repo/grantAgreement/ES/PI14/00874 | es_ES |
| dc.relation.projectFIS | info:eu-repo/grantAgreement/ES/PI16/01402 | es_ES |
| dc.relation.projectFIS | info:eu-repo/grantAgreement/ES/PI21/00506 | es_ES |
| dc.relation.projectFIS | info:eu-repo/grantAgreement/ES/PI11/00726 | es_ES |
| dc.relation.projectFIS | info:eu-repo/grantAgreement/ES/CIBER-02-08-2009 | es_ES |
| dc.relation.projectFIS | info:eu-repo/grantAgreement/ES/CB06/03 | es_ES |
| dc.relation.projectFIS | info:eu-repo/grantAgreement/ES/CB12/03/30 | es_ES |
| dc.relation.projectFIS | info:eu-repo/grantAgreement/ES/RD16CIII/0002/0002 | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/EC/EPSS-037093 | es_ES |
| dc.relation.publisherversion | https://doi.org/10.1016/j.redox.2022.102314 | es_ES |
| dc.repisalud.centro | ISCIII::Centro Nacional de Epidemiología | es_ES |
| dc.repisalud.institucion | ISCIII | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.license | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | Metals | es_ES |
| dc.subject | Metabolomics | es_ES |
| dc.subject | Oxidative stress | es_ES |
| dc.subject | Candidate genes | es_ES |
| dc.subject | Gene-environment interaction | es_ES |
| dc.subject.mesh | Arsenic | es_ES |
| dc.subject.mesh | Metals, Heavy | es_ES |
| dc.subject.mesh | Selenium | es_ES |
| dc.subject.mesh | Amino Acids, Essential | es_ES |
| dc.subject.mesh | Cadmium | es_ES |
| dc.subject.mesh | Gene-Environment Interaction | es_ES |
| dc.subject.mesh | Humans | es_ES |
| dc.subject.mesh | Metals | es_ES |
| dc.subject.mesh | Oxidation-Reduction | es_ES |
| dc.subject.mesh | Spain | es_ES |
| dc.title | Gene-environment interaction analysis of redox-related metals and genetic variants with plasma metabolic patterns in a general population from Spain: The Hortega Study | es_ES |
| dc.type | research article | es_ES |
| dc.type.hasVersion | VoR | es_ES |
| dspace.entity.type | Publication | |
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