Evidence map›Paper›PMID 37243727›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2023

Refining risk estimates for lead in drinking water based on the impact of genetics and diet on blood lead levels using the Collaborative Cross mouse population.

Danila Cuomo, Megan Nitcher, Estefania Barba, Andrew P Feinberg, Ivan Rusyn, Weihsueh A Chiu, David W Threadgill

Open access · greenAbstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Incorporating new approach methods (NAMs) data in dose-response assessments: The future is now!Journal of toxicology and environmental health. Part B, Critical reviews · 2025
    Review
  6. Inter-strain variability in responses to a single administration of the cannabidiol-rich cannabis extract in mice.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2024
    Article
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

7 authors at 2 institutions in 1 country.

Danila CuomoDepartment of Cell Biology and Genetics, Texas A&M University, College Station, Texas, USA.
Megan NitcherDepartment of Cell Biology and Genetics, Texas A&M University, College Station, Texas, USA.
Estefania BarbaDepartment of Cell Biology and Genetics, Texas A&M University, College Station, Texas, USA.
Andrew P FeinbergCenter for Epigenetics, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Ivan RusynDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, Texas, USA.
Weihsueh A ChiuDepartment of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, Texas, USA.ORCID 0000-0002-7575-2368
David W ThreadgillDepartment of Cell Biology and Genetics, Texas A&M University, College Station, Texas, USA.
Texas A&M University · USJohns Hopkins University · US

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
NIEHS NIH HHS P30 ES029067NIEHS NIH HHS P42 ES027704NIEHS NIH HHS R01 ES029911NIH HHS RM1 HG008529
6 · The paper itself

Abstract

Blood lead (Pb) level (BLL) is a commonly used biomarker to evaluate associations with health effects. However, interventions to reduce the adverse effects of Pb require relating BLL to external exposure. Moreover, risk mitigation actions need to ensure protection of more susceptible individuals with a greater tendency to accumulate Pb. Because little data is available to quantify inter-individual variability in biokinetics of Pb, we investigated the influence of genetics and diet on BLL in the genetically diverse Collaborative Cross (CC) mouse population. Adult female mice from 49 CC strains received either a standard mouse chow or a chow mimicking the American diet while being provided water ad libitum with 1000 ppm Pb for 4 weeks. In both arms of the study, inter-strain variability was observed; however, in American diet-fed animals, the BLL was greater and more variable. Importantly, the degree of variation in BLL among strains on the American diet was greater (2.3) than the default variability estimate (1.6) used in setting the regulatory standards. Genetic analysis identified suggestive diet-associated haplotypes that were associated with variation in BLL, largely contributed by the PWK/PhJ strain. This study quantified the variation in BLL that is due to genetic background, diet, and their interactions, and observed that it may be greater than that assumed for current regulatory standards for Pb in drinking water. Moreover, this work highlights the need of characterizing inter-individual variation in BLL to ensure adequate public health interventions aimed at reducing human health risks from Pb.

Indexed as

Drinking WaterLeadAdultAnimalsCollaborative Cross MiceDietEnvironmental ExposureFemaleHumansMiceDrinking WaterLeadBLLCollaborative Crossdietgeneticsrisk assessment

Identifiers

PMID37243727
PMCPMC10375319
OpenAlexW4378549079

What OpenQuestion holds

Textmetadata
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.