Evidence map›Paper›PMID 41970999›Full record

ReviewFrontiers in endocrinology2026

Endocrine-disrupting properties of heavy metal exposure contribute to the intergenerational effects on learning and memory.

Glaecir Roseni Mundstock Dias, Helena D Zomer, Nyam F Silva, Jones B Graceli

Abstract readReview
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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.

Glaecir Roseni Mundstock DiasPrograma de Pós-Graduação em Medicina (Endocrinologia), Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Helena D ZomerDepartment of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States.
Nyam F SilvaDepartamento de Morfologia, Universidade Federal do Espírito Santo, Vitória, ES, Brazil.
Jones B GraceliDepartamento de Morfologia, Universidade Federal do Espírito Santo, Vitória, ES, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heavy metals are increasingly recognized as endocrine-disrupting chemicals (EDCs) capable of perturbing neurodevelopment and cognition across multiple generations. Among these, methylmercury (MeHg), lead (Pb), and cadmium (Cd) remain global public health concerns due to their environmental persistence, bioaccumulation in food and water sources, and widespread human exposure. Evidence from epidemiological and experimental studies demonstrates that these metals can interfere with hormonal signaling, neurogenesis, synaptic organization, neuroendocrine regulation and epigenetic programming-processes that are essential for learning and memory formation during critical developmental windows. Collectively, current evidence supports the view that MeHg, Pb, and Cd exposure act as potent neuroendocrine disruptors capable of producing intergenerational consequences on learning and memory. In this review, we highlight the recent findings of the effects of prenatal exposure to the three heavy metals (i.e., MeHg, Pg and Cd) on developing learning and memory.

Indexed as

Endocrine DisruptorsEnvironmental ExposureLearningMemoryMetals, HeavyPrenatal Exposure Delayed EffectsAnimalsCadmiumFemaleHumansLeadMethylmercury CompoundsPregnancyCadmiumEndocrine DisruptorsLeadMetals, HeavyMethylmercury Compoundsbehaviorcadmiumendocrine-disrupting chemicalsheavy metalsintergenerationalleadmethylmercury

Identifiers

PMID41970999
PMCPMC13061712

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.