Portal de investigación
Gene-environment interaction analysis of redox-related metals and genetic variants with plasma metabolic patterns in a general population from Spain: The Hortega Study.
Fecha de publicación:
Fecha Ahead of Print:
Autores de INCLIVA
Participantes ajenos a INCLIVA
- Galvez-Fernandez, M
- Sanchez-Saez, F
- Domingo-Relloso, A
- Rodriguez-Hernandez, Z
- Tarazona, S
- Amigo, N
- Garcia-Barrera, T
- Gomez-Ariza, JL
- Tellez-Plaza, M
- Martin-Escudero, JC
Grupos y Plataformas de I+D+i
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.
Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.
Datos de la publicación
- ISSN/ISSNe:
- 2213-2317, 2213-2317
- Tipo:
- Article
- Páginas:
- 102314-102314
- PubMed:
- 35460952
Redox Biology ELSEVIER SCIENCE BV
Citas Recibidas en Web of Science: 12
Documentos
Filiaciones
Keywords
- Candidate genes; Gene-environment interaction; Metabolomics; Metals; Oxidative stress
Financiación
Proyectos y Estudios Clínicos
Multifactorial study to identify novel genetic and non-genetic factors implicated in type 2 diabetes through exome sequencing and artificial intelligence.
Investigador Principal: FELIPE JAVIER CHAVES MARTÍNEZ
PI21/00506 . INSTITUTO SALUD CARLOS III . 2022
Cita
Gene-environment interaction analysis of redox-related metals and genetic variants with plasma metabolic patterns in a general population from Spain: The Hortega Study. Galvez M, Sanchez F, Domingo A, Rodriguez Z, Tarazona S, Gonzalez V, Grau M et al. Redox Biology. 2022 junio 01. 52102314-102314. DOI:10.1016/j.redox.2022.102314. PMID:35460952.
