Evidence map›Paper›PMID 41792380›Full record

ArticleScientific reports2026

Association of neonatal metrics, metabolic risk factors, and metal levels in children with obesity.

Lucía Jurado-Sumariva, Álvaro González-Domínguez, Jesús Domínguez-Riscart, Raúl González-Domínguez

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Lucía Jurado-SumarivaInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Hospital Universitario Puerta del Mar, Universidad de Cádiz, 11009, Cádiz, Spain.
Álvaro González-DomínguezInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Hospital Universitario Puerta del Mar, Universidad de Cádiz, 11009, Cádiz, Spain. alvaro.gonzalez@inibica.es.
Jesús Domínguez-RiscartInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Hospital Universitario Puerta del Mar, Universidad de Cádiz, 11009, Cádiz, Spain.
Raúl González-DomínguezInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Hospital Universitario Puerta del Mar, Universidad de Cádiz, 11009, Cádiz, Spain. raul.gonzalez@inibica.es.

Funding

Fundación para la Gestión de la Investigación Biomédica de Cádiz LII19/16IN-CO24Instituto de Salud Carlos III CM23/00026Instituto de Salud Carlos III PI22/01899
6 · The paper itself

Abstract

The neonatal period is highly susceptible to metabolic impairments that may persist throughout lifespan and predispose to increased obesity risk and related complications. During these first stages of life, trace elements and heavy metals play a central role in regulating health status and participating in obesity pathophysiology. Thus, we hypothesize that neonatal metrics might serve as reliable predictors of obesity-related metal alterations occurring later in childhood. This study relies on a population comprising children with obesity (N = 79, age range: 6–14 years), from whom birth metrics (i.e., gestational age, length, and weight at birth) were registered from medical records and blood samples were collected to evaluate classical metabolic markers (insulin and glucose metabolism, inflammatory status) and metal biodistribution by inductively-coupled plasma mass spectrometry. Interestingly, higher gestational age and length at birth were associated with lower inflammation, insulinemia, and glycemia in childhood, as well as with lower levels of toxic heavy metals (i.e., arsenic, cadmium, lead) and greater levels of essential trace elements (i.e., zinc, selenium). Conversely, higher body mass index at birth predicted exacerbated failures in glucose homeostasis and an unfavorable multi-elemental profile, as reflected in negative associations with minerals involved in endocrine control (i.e., zinc, chromium, molybdenum, selenium). In summary, this study supports that even slight deviations in neonatal parameters might influence metabolic health later in life, considering both classical clinical markers (e.g., insulin resistance, inflammation) and complementary metallomics assessments.

Indexed as

MetalsMetals, HeavyPediatric ObesityBiomarkersBirth WeightBody Mass IndexChildFemaleGestational AgeHumansInfant, NewbornMaleRisk FactorsTrace ElementsBiomarkersMetalsMetals, HeavyTrace ElementsChildhood obesityHeavy metalsNeonatal metricsTrace elements

Identifiers

PMID41792380
PMCPMC13079847

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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.