Evidence map›Paper›PMID 20026094›Full record

ReviewChemico-biological interactions2010

Systems biology of human benzene exposure.

Luoping Zhang, Cliona M McHale, Nathaniel Rothman, Guilan Li, Zhiying Ji, Roel Vermeulen, Alan E Hubbard, Xuefeng Ren, Min Shen, Stephen M Rappaport and 7 more

Open access · greenAbstract readReview
In one paragraph

Review in Chemico-biological interactions, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

36 citing papers in PubMed, 105 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Blood BTEXS and heavy metal levels are associated with liver injury and systemic inflammation in Gulf states residents.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Transcriptomics in toxicology.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2017
    Review
  16. Cancer Immunoprevention and Public Health.Frontiers in public health · 2017
    Review
  17. Review
  18. Article
  19. Article
  20. Review
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

17 authors at 5 institutions in 3 countries.

Luoping ZhangDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA 94720-7356, USA. luoping@berkeley.edu
Cliona M McHale
Nathaniel Rothman
Guilan Li
Zhiying Ji
Roel Vermeulen
Alan E Hubbard
Xuefeng Ren
Min Shen
Stephen M Rappaport
Matthew North
Christine F Skibola
Songnian Yin
Christopher Vulpe
Stephen J Chanock
Martyn T Smith
Qing Lan
University of California, Berkeley · USDivision of Cancer Epidemiology and GeneticsChinese Center For Disease Control and Prevention · CNNational Cancer Institute · USUtrecht University · NL

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MORELLO-FROSCH, RACHEL ADELE · 1987 to 2025
$74.6M
STOCHASTIC ANALYSIS OF FLOW AND TRANSPORT PHENOMENAP42ES005948 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA · 1992 to 2017
$45.4M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Molecular Epidemiology Studies of Occupational and Environmental ExposuresZIACP010121 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ROTHMAN, NATHANIEL · 2009 to 2025
$23.5M
BIOMARKERS OF BENZENE EXPOSURE AND GENOTOXICITYR01ES006721 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SMITH, MARTYN T · 1993 to 2007
$3.3M
NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P30ES10126NIEHS NIH HHS P42 ES004705NIEHS NIH HHS P42 ES005948NIEHS NIH HHS P42ES04705NIEHS NIH HHS P42ES05948NIEHS NIH HHS R01 ES006721NIEHS NIH HHS R01ES06721
6 · The paper itself

Abstract

Toxicogenomic studies, including genome-wide analyses of susceptibility genes (genomics), gene expression (transcriptomics), protein expression (proteomics), and epigenetic modifications (epigenomics), of human populations exposed to benzene are crucial to understanding gene-environment interactions, providing the ability to develop biomarkers of exposure, early effect and susceptibility. Comprehensive analysis of these toxicogenomic and epigenomic profiles by bioinformatics in the context of phenotypic endpoints, comprises systems biology, which has the potential to comprehensively define the mechanisms by which benzene causes leukemia. We have applied this approach to a molecular epidemiology study of workers exposed to benzene. Hematotoxicity, a significant decrease in almost all blood cell counts, was identified as a phenotypic effect of benzene that occurred even below 1 ppm benzene exposure. We found a significant decrease in the formation of progenitor colonies arising from bone marrow stem cells with increasing benzene exposure, showing that progenitor cells are more sensitive to the effects of benzene than mature blood cells, likely leading to the observed hematotoxicity. Analysis of transcriptomics by microarray in the peripheral blood mononuclear cells of exposed workers, identified genes and pathways (apoptosis, immune response, and inflammatory response) altered at high (>10 ppm) and low (<1 ppm) benzene levels. Serum proteomics by SELDI-TOF-MS revealed proteins consistently down-regulated in exposed workers. Preliminary epigenomics data showed effects of benzene on the DNA methylation of specific genes. Genomic screens for candidate genes involved in susceptibility to benzene toxicity are being undertaken in yeast, with subsequent confirmation by RNAi in human cells, to expand upon the findings from candidate gene analyses. Data on these and future biomarkers will be used to populate a large toxicogenomics database, to which we will apply bioinformatic approaches to understand the interactions among benzene toxicity, susceptibility genes, mRNA, and DNA methylation through a systems biology approach.

Indexed as

Systems BiologyBenzeneComputational BiologyEpigenesis, GeneticHematopoietic SystemHumansToxicogeneticsBenzene

Identifiers

PMID20026094
PMCPMC2846187
OpenAlexW2138751912

What OpenQuestion holds

Textmetadata
LicenceTDM
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.