ReviewMutation research2010
Toxicogenomic profiling of chemically exposed humans in risk assessment.
Review in Mutation research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed, 66 citations in OpenAlex.
- Towards a toxic-free environment: perspectives for chemical risk assessment approaches.La Medicina del lavoro · 2022Article
- DNA methylome signatures as epigenetic biomarkers of hexanal associated with lung toxicity.PeerJ · 2021Article
- Post-transcriptional air pollution oxidation to the cholesterol biosynthesis pathway promotes pulmonary stress phenotypes.Communications biology · 2020Article
- Understanding the Functional Impact of VOC-Ozone Mixtures on the Chemistry of RNA in Epithelial Lung Cells.Research report (Health Effects Institute) · 2020Article
- Chemical-Induced Phenotypes at CTD Help Inform the Predisease State and Construct Adverse Outcome Pathways.Toxicological sciences : an official journal of the Society of Toxicology · 2018Article
- Applying evolutionary genetics to developmental toxicology and risk assessment.Reproductive toxicology (Elmsford, N.Y.) · 2017Review
- Supporting read-across using biological data.ALTEX · 2016Article
- Systems Biology and Biomarkers of Early Effects for Occupational Exposure Limit Setting.Journal of occupational and environmental hygiene · 2015Article
- Analysis of the transcriptome in molecular epidemiology studies.Environmental and molecular mutagenesis · 2013Review
- Performance in omics analyses of blood samples in long-term storage: opportunities for the exploitation of existing biobanks in environmental health research.Environmental health perspectives · 2013Article
- Current understanding of the mechanism of benzene-induced leukemia in humans: implications for risk assessment.Carcinogenesis · 2012Review
- A toxicogenomic comparison of primary and photochemically altered air pollutant mixtures.Environmental health perspectives · 2011Article
- Moving forward in human cancer risk assessment.Environmental health perspectives · 2011Article
- Global gene expression profiling of a population exposed to a range of benzene levels.Environmental health perspectives · 2011Article
- The Comparative Toxicogenomics Database: update 2011.Nucleic acids research · 2011Article
- Nrf2-related gene expression and exposure to traffic-related air pollution in elderly subjects with cardiovascular disease: An exploratory panel study.Journal of exposure science & environmental epidemiologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Gene-environment interactions contribute to complex disease development. The environmental contribution, in particular low-level and prevalent environmental exposures, may constitute much of the risk and contribute substantially to disease. Systematic risk evaluation of the majority of human chemical exposures, has not been conducted and is a goal of regulatory agencies in the U.S. and worldwide. With the recent recognition that toxicological approaches more predictive of effects in humans are required for risk assessment, in vitro human cell line data as well as animal data are being used to identify toxicity mechanisms that can be translated into biomarkers relevant to human exposure studies. In this review, we discuss how data from toxicogenomic studies of exposed human populations can inform risk assessment, by generating biomarkers of exposure, early effect, and/or susceptibility, elucidating mechanisms of action underlying exposure-related disease, and detecting response at low doses. Good experimental design incorporating precise, individual exposure measurements, phenotypic anchors (pre-disease or traditional toxicological markers), and a range of relevant exposure levels, is necessary. Further, toxicogenomic studies need to be designed with sufficient power to detect true effects of the exposure. As more studies are performed and incorporated into databases such as the Comparative Toxicogenomics Database (CTD) and Chemical Effects in Biological Systems (CEBS), data can be mined for classification of newly tested chemicals (hazard identification), and, for investigating the dose-response, and inter-relationship among genes, environment and disease in a systems biology approach (risk characterization).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.