Evidence map›Paper›PMID 35460952›Full record

ArticleRedox biology2022

Gene-environment interaction analysis of redox-related metals and genetic variants with plasma metabolic patterns in a general population from Spain: The Hortega Study.

Marta Galvez-Fernandez, Francisco Sanchez-Saez, Arce Domingo-Relloso, Zulema Rodriguez-Hernandez, Sonia Tarazona, Vannina Gonzalez-Marrachelli, Maria Grau-Perez, Jose M Morales-Tatay, Nuria Amigo, Tamara Garcia-Barrera and 8 more

Open access · goldAbstract read
In one paragraph

Article in Redox biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 7 institutions in 2 countries.

Marta Galvez-FernandezDepartment of Preventive Medicine and Microbiology, Universidad Autónoma de Madrid, Madrid, Spain; Department of Preventive Medicine, Hospital Universitario Severo Ochoa, Madrid, Spain; Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain.
Francisco Sanchez-SaezInstitute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain; Department of Statistics and Operational Research, University of Valencia, Valencia, Spain.
Arce Domingo-RellosoIntegrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain; Department of Statistics and Operational Research, University of Valencia, Valencia, Spain; Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, USA.
Zulema Rodriguez-HernandezIntegrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain; Department of Biotechnology, Universitat Politècnica de València, Valencia, Spain.
Sonia TarazonaApplied Statistics and Operations Research and Quality Politècnica de València, Valencia, Spain.
Vannina Gonzalez-MarrachelliInstitute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain; Department of Physiology, University of Valencia, Valencia, Spain.
Maria Grau-PerezDepartment of Preventive Medicine and Microbiology, Universidad Autónoma de Madrid, Madrid, Spain; Institute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain; Department of Statistics and Operational Research, University of Valencia, Valencia, Spain.
Jose M Morales-TatayInstitute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain; Department of Pathology University of Valencia, Valencia, Spain.
Nuria AmigoBiosfer Teslab, Reus, Spain; Department of Basic Medical Sciences, University Rovira I Virgili, Reus, Spain; Center for Diabetes and Associated Metabolic Diseases (CIBERDEM), Madrid, Spain.
Tamara Garcia-BarreraResearch Center for Natural Resources, Health and the Environment (RENSMA), Department of Chemistry, Faculty of Experimental Sciences, University of Huelva, Huelva, Spain.
Jose L Gomez-ArizaResearch Center for Natural Resources, Health and the Environment (RENSMA), Department of Chemistry, Faculty of Experimental Sciences, University of Huelva, Huelva, Spain.
F Javier ChavesInstitute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain; Center for Diabetes and Associated Metabolic Diseases (CIBERDEM), Madrid, Spain.
Ana Barbara Garcia-GarciaInstitute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain; Center for Diabetes and Associated Metabolic Diseases (CIBERDEM), Madrid, Spain.
Rebeca MeleroInstitute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain.
Maria Tellez-PlazaDepartment of Preventive Medicine and Microbiology, Universidad Autónoma de Madrid, Madrid, Spain; Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain; Institute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain. Electronic address: m.tellez@isciii.es.
Juan C Martin-EscuderoDepartment of Internal Medicine, Hospital Universitario Rio Hortega, University of Valladolid, Valladolid, Spain.
Josep RedonInstitute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain.
Daniel MonleonInstitute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain; Department of Pathology University of Valencia, Valencia, Spain; Center for Biomedical Research Network on Frailty and Health Aging (CIBERFES), Madrid, Spain.
Universitat de València · ESCentro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas · ESInstituto de Salud Carlos III · ESINCLIVA Health Research Institute · ESUniversidad de Huelva · ESUniversidad de Valladolid · ESUniversitat Politècnica de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLimited 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.

methodsUrine 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.

resultsIn 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.

conclusionsExposures 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.

Indexed as

ArsenicMetals, HeavySeleniumAmino Acids, EssentialCadmiumGene-Environment InteractionHumansMetalsOxidation-ReductionSpainAmino Acids, EssentialArsenicCadmiumMetalsMetals, HeavySeleniumCandidate genesGene-environment interactionMetabolomicsMetalsOxidative stress

Identifiers

PMID35460952
PMCPMC9048061
OpenAlexW4223895929

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.