Evidence map›Paper›PMID 42018206›Full record

ArticleEnvironmental geochemistry and health2026

Oxidative stress and cardiovascular risk related to urinary metal(loid) levels in a pediatric population.

Manolo Ortega-Romero, Elodia Rojas Lima, Juan Carlos Rubio-Gutiérrez, Juana Narváez Morales, Ixtlitzin Yaocihuatl Bravo Carvajal, Mariela Esparza García, Miguel Ángel Mejia, Juan Alfredo Tamayo Y Orozco, Pablo Mendez-Hernández, Olivier C Barbier and 2 more

Abstract read
In one paragraph

Article in Environmental geochemistry and health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Manolo Ortega-RomeroUnidad de Investigación en Nefrología y Metabolismo Mineral Óseo, Hospital Infantil de México Federico Gómez, México, CDMX, México.
Elodia Rojas LimaDepartamento de Toxicología, Centro de Investigación y de Estudios Avanzados, Mexico, CDMX, México.
Juan Carlos Rubio-GutiérrezDepartamento de Toxicología, Centro de Investigación y de Estudios Avanzados, Mexico, CDMX, México.
Juana Narváez MoralesDepartamento de Toxicología, Centro de Investigación y de Estudios Avanzados, Mexico, CDMX, México.
Ixtlitzin Yaocihuatl Bravo CarvajalUniversidad Nacional Autónoma de México, México, CDMX, México.
Mariela Esparza GarcíaUnidad de Investigación en Nefrología y Metabolismo Mineral Óseo, Hospital Infantil de México Federico Gómez, México, CDMX, México.
Miguel Ángel MejiaFundación Franco-Mexicana para la Medicina, I.A.P, México, CDMX, México.
Juan Alfredo Tamayo Y OrozcoAccessalud, México, CDMX, México.
Pablo Mendez-HernándezDepartamento de Calidad y Educación en Salud, Secretaría de Salud de Tlaxcala, Tlaxcala, México.
Olivier C BarbierDepartamento de Toxicología, Centro de Investigación y de Estudios Avanzados, Mexico, CDMX, México.
Mara MedeirosUnidad de Investigación en Nefrología y Metabolismo Mineral Óseo, Hospital Infantil de México Federico Gómez, México, CDMX, México. medeiro.mara@gmail.com.
Octavio Gamaliel Aztatzi-AguilarDepartamento de Toxicología, Centro de Investigación y de Estudios Avanzados, Mexico, CDMX, México. oaztatzi@cinvestav.mx.

Funding

CONAHCYT-ECOS Project 315696Consejo Nacional de Humanidades, Ciencias y Tecnologías 272556Consejo Nacional de Humanidades, Ciencias y Tecnologías 558205Consejo Nacional de Humanidades, Ciencias y Tecnologías Project 2017-01-6613Fundación Gonzalo Río Arronte Project S638
6 · The paper itself

Abstract

Cardiovascular diseases are the leading cause of death, and reducing them requires identifying risk factors, among which exposure to environmental pollutants is well documented. Metal(loid) exposure is related to oxidative stress (OxS), in which oxygen radicals react with biomolecules, thus altering the cardiovascular system. This study aimed to identify cardiovascular risk factors and their relationship with OxS biomarkers. A cross-sectional study (CINVESTAV-063-2020/HIM-2019-025) was conducted in an apparently healthy pediatric population (N = 359). Metal(loid)s were measured by ICP-MS, and enzymatic and colorimetric techniques were applied for OxS determination. Descriptive and bivariate analyses were performed. A weighted quantile sum (WQS) approach was used to examine the mixture effect and identify the components associated with a health outcome. Finally, spatial autocorrelation was estimated for metal(loid)s and environmental sources. The median age of the participants was 14 years, 30% were overweight or obese, and cardiovascular risk was 32.6%. Median metal(loid) concentrations (ng/mL) were 34.5 for arsenic, 27.2 for copper, 0.837 for manganese, and 7.45 for vanadium. There was an association between the multi-OxS biomarkers and cardiovascular risk (OR: 0.4291, 95% CI: 0.281-0.577). However, there was no relationship between the multi-metal(loid)s and cardiovascular risk, but there were significant correlations between the OxS biomarkers and urinary metal(loid)s. Spatial autocorrelation was observed for vanadium and arsenic. OxS biomarkers were associated with cardiovascular risk and some related factors. Furthermore, the presence of metal(loid)s is involved in redox imbalance, which appears to increase cardiovascular risk, and the spatial autocorrelation observed suggests exposure to vanadium and arsenic.

Indexed as

Cardiovascular DiseasesEnvironmental PollutantsMetalsMetals, HeavyOxidative StressAdolescentArsenicBiomarkersChildCross-Sectional StudiesFemaleHeart Disease Risk FactorsHumansMaleRisk FactorsArsenicBiomarkersEnvironmental PollutantsMetalsMetals, HeavyCardiovascular riskMetal(loid)sOxidative stressPediatric population

Identifiers

PMID42018206
PMCPMC13102894

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Registered trials

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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.