Evidence map›Paper›PMID 19937285›Full record

ArticleNeurotoxicity research2011

Correlations between gene expression and mercury levels in blood of boys with and without autism.

Boryana Stamova, Peter G Green, Yingfang Tian, Irva Hertz-Picciotto, Isaac N Pessah, Robin Hansen, Xiaowei Yang, Jennifer Teng, Jeffrey P Gregg, Paul Ashwood and 2 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Neurotoxicity research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
1.9field-weighted citation impact, top 17% 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Blood transcriptomic comparison of individuals with and without autism spectrum disorder: A combined-samples mega-analysis.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017
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  8. Associations of Metabolic Genes (International journal of environmental research and public health · 2021
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  10. The intracerebral hemorrhage blood transcriptome in humans differs from the ischemic stroke and vascular risk factor control blood transcriptomes.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
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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

12 authors at 3 institutions in 1 country.

Boryana StamovaDepartment of Neurology, University of California at Davis Medical Center, Sacramento, CA 95817, USA. boryana.stamova@ucdmc.ucdavis.edu
Peter G Green
Yingfang Tian
Irva Hertz-Picciotto
Isaac N Pessah
Robin Hansen
Xiaowei Yang
Jennifer Teng
Jeffrey P Gregg
Paul Ashwood
Judy Van de Water
Frank R Sharp
University of California Davis Medical Center · USUniversity of California, Davis · USUC Davis Children's Hospital · US

Funding

THE CHARGE STUDY: CHILDHOOD AUTISM RISKS FROM GENETICS AND THE ENVIRONMENT - ADMINISTRATIVE SUPPLEMENTR01ES015359 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HERTZ-PICCIOTTO, IRVA · 2007 to 2019
$13.8M
UC Davis Center for Children's Environmental Health (CCEH)P01ES011269 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI VAN DE WATER, JUDY A. · 2001 to 2018
$12.5M
Autism Speaks AS4933NIEHS NIH HHS 1 P01 ES11269NIEHS NIH HHS 1 R01 ES015359NIEHS NIH HHS P01 ES011269NIEHS NIH HHS R01 ES015359
6 · The paper itself

Abstract

Gene expression in blood was correlated with mercury levels in blood of 2- to 5-year-old boys with autism (AU) compared to age-matched typically developing (TD) control boys. This was done to address the possibility that the two groups might metabolize toxicants, such as mercury, differently. RNA was isolated from blood and gene expression assessed on whole genome Affymetrix Human U133 expression microarrays. Mercury levels were measured using an inductively coupled plasma mass spectrometer. Analysis of covariance (ANCOVA) was performed and partial correlations between gene expression and mercury levels were calculated, after correcting for age and batch effects. To reduce false positives, only genes shared by the ANCOVA models were analyzed. Of the 26 genes that correlated with mercury levels in both AU and TD boys, 11 were significantly different between the groups (P(Diagnosis*Mercury) ≤ 0.05). The expression of a large number of genes (n = 316) correlated with mercury levels in TD but not in AU boys (P ≤ 0.05), the most represented biological functions being cell death and cell morphology. Expression of 189 genes correlated with mercury levels in AU but not in TD boys (P ≤ 0.05), the most represented biological functions being cell morphology, amino acid metabolism, and antigen presentation. These data and those in our companion study on correlation of gene expression and lead levels show that AU and TD children display different correlations between transcript levels and low levels of mercury and lead. These findings might suggest different genetic transcriptional programs associated with mercury in AU compared to TD children.

Indexed as

Gene Expression Regulation, DevelopmentalAutistic DisorderChild DevelopmentChild, PreschoolGene Regulatory NetworksHumansMaleMercuryMercury

Identifiers

PMID19937285
PMCPMC3006666
OpenAlexW1965153724

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.