Evidence map›Paper›PMID 39886933›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2025

Examining risk assessment implications of genetic and dose-dependent dynamics of lead exposure in breastfeeding using the collaborative cross mouse population.

Danila Cuomo, Zhuolin Song, Megan Nitcher, Rachel Lynch, Estefania Barba, Andrew P Feinberg, Ivan Rusyn, Fred A Wright, Weihsueh A Chiu, David W Threadgill

Abstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2025. 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
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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

10 authors.

Danila CuomoDepartment of Cell Biology and Genetics, Texas A&M University, College Station, TX 77843, United States.
Zhuolin SongBioinformatics Research Center, North Carolina State University, Raleigh, NC 27695, United States.
Megan NitcherDepartment of Cell Biology and Genetics, Texas A&M University, College Station, TX 77843, United States.
Rachel LynchDepartment of Cell Biology and Genetics, Texas A&M University, College Station, TX 77843, United States.
Estefania BarbaDepartment of Cell Biology and Genetics, Texas A&M University, College Station, TX 77843, United States.
Andrew P FeinbergCenter for Epigenetics, Johns Hopkins University, Baltimore, MD 21218, United States.
Ivan RusynDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX 77843, United States.
Fred A WrightBioinformatics Research Center, North Carolina State University, Raleigh, NC 27695, United States.
Weihsueh A ChiuDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX 77843, United States.
David W ThreadgillDepartment of Cell Biology and Genetics, Texas A&M University, College Station, TX 77843, United States.

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
Texas A&M Center for Environmental Health Research (TiCER)P30ES029067 · NIEHS · TEXAS A&M UNIVERSITY · PI Galen Newman · 2019 to 2026
$13.0M
Integration of Genomics and the EnvironmentRM1HG008529 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI FEINBERG, ANDREW P., THREADGILL, DAVID W. · 2016 to 2020
$5.3M
Chromatin regions, genes and pathways that confer susceptibility to chemical-induced DNA damageR01ES029911 · NIEHS · TEXAS A&M AGRILIFE RESEARCH · PI RUSYN, IVAN, THREADGILL, DAVID W. · 2019 to 2023
$3.3M
Characterizing Gene-Environment Interactions that Affect Individual Susceptibility to an Expanding Chemical ExposomeR01ES033243 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Fred A. Wright · 2022 to 2026
$2.1M
NHGRI NIH HHS RM1 HG008529NIEHS NIH HHS P30 ES029067NIEHS NIH HHS P42 ES027704NIEHS NIH HHS R01 ES029911NIEHS NIH HHS R01 ES033243NIH HHS P30 ES029067
6 · The paper itself

Abstract

Breastfeeding offers well-documented advantages but may inadvertently introduce lead (Pb) exposure to infants. Scarce data exist on the risks of Pb exposure for breastfed infants, and strategies for risk mitigation are needed, particularly considering the heightened susceptibility of children to adverse effects from Pb exposure. To investigate the potential influence of breastfeeding on blood Pb levels (BLL) in offspring, population variation in BLL between nonparous and parous mouse dams was quantified, as well as in dams exposed to low and high dose while breastfeeding, and their offspring. Female mice from 14 distinct collaborative cross (CC) mouse strains were mated with sires from different CC strains to produce 14 F1 hybrids. Subsequently, dams were administered either low- (100 ppm) or high- (1,000 ppm) dose Pb through ad libitum access drinking water starting the day of delivery for a duration of 4 wk, leading to the subsequent exposure of the offspring via lactation. Genetic background emerged as a predominant factor contributing to variation, with substantial interstrain variability observed in both CC dams and F1 hybrids exposed to low and high doses of Pb. Crucially, the degree of variation in BLL among CC dams exceeded the default variability estimate (geometric SD = 1.6) utilized in regulatory standard settings. These findings underscore the importance of integrating population variability in risk assessment. Ultimately, this study provides critical insights to guide public health decision-making processes concerning Pb exposure through breastfeeding and its potential implications for infants' health.

Indexed as

Breast FeedingLeadMaternal ExposureAnimalsCollaborative Cross MiceDose-Response Relationship, DrugFemaleLactationMaleMiceRisk AssessmentLeadleadmaternal exposuremouse modelrisk assessment

Identifiers

PMID39886933
PMCPMC11939076

What OpenQuestion holds

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Read underepoch 390

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.