Evidence map›Paper›PMID 18039032›Full record

ArticlePLoS genetics2007

Activation of inflammation/NF-kappaB signaling in infants born to arsenic-exposed mothers.

Rebecca C Fry, Panida Navasumrit, Chandni Valiathan, J Peter Svensson, Bradley J Hogan, Manlin Luo, Sanchita Bhattacharya, Krittinee Kandjanapa, Sumitra Soontararuks, Sumontha Nookabkaew and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed, 2 pooled it
11.4field-weighted citation impact, top 1% 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

141 citing papers in PubMed, 2 syntheses or guidelines pooled it, 254 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. An Exploration of Machine Learning Methods in Human Biomonitoring.International journal of environmental research and public health · 2026
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  9. Guardians under Siege: Exploring Pollution's Effects on Human Immunity.International journal of molecular sciences · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Coinfection withJournal of tropical medicine · 2023
    Article
  15. Review
  16. Article
  17. Extreme prematurity: Risk and resiliency.Current problems in pediatric and adolescent health care · 2022
    Review
  18. Article
  19. Article
  20. Article

81 more citing papers are in PubMed but not listed here.

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

13 authors at 3 institutions in 2 countries.

Rebecca C FryDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Panida Navasumrit
Chandni Valiathan
J Peter Svensson
Bradley J Hogan
Manlin Luo
Sanchita Bhattacharya
Krittinee Kandjanapa
Sumitra Soontararuks
Sumontha Nookabkaew
Chulabhorn Mahidol
Mathuros Ruchirawat
Leona D Samson
Chulabhorn Research Institute · THMassachusetts Institute of Technology · USCenter for Environmental Health · US

Funding

TOXICOLOGY CORE UNITP30ES002109 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI NILES, JACQUIN C · 1985 to 2020
$25.6M
Global Responses to Aflatoxin B1 &Alkylating AgentsU19ES011399 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SAMSON, LEONA D. · 2001 to 2006
$7.4M
NIEHS NIH HHS ES002109NIEHS NIH HHS ES11399NIEHS NIH HHS P30 ES002109NIEHS NIH HHS U19 ES011399
6 · The paper itself

Abstract

The long-term health outcome of prenatal exposure to arsenic has been associated with increased mortality in human populations. In this study, the extent to which maternal arsenic exposure impacts gene expression in the newborn was addressed. We monitored gene expression profiles in a population of newborns whose mothers experienced varying levels of arsenic exposure during pregnancy. Through the application of machine learning-based two-class prediction algorithms, we identified expression signatures from babies born to arsenic-unexposed and -exposed mothers that were highly predictive of prenatal arsenic exposure in a subsequent test population. Furthermore, 11 transcripts were identified that captured the maximal predictive capacity to classify prenatal arsenic exposure. Network analysis of the arsenic-modulated transcripts identified the activation of extensive molecular networks that are indicative of stress, inflammation, metal exposure, and apoptosis in the newborn. Exposure to arsenic is an important health hazard both in the United States and around the world, and is associated with increased risk for several types of cancer and other chronic diseases. These studies clearly demonstrate the robust impact of a mother's arsenic consumption on fetal gene expression as evidenced by transcript levels in newborn cord blood.

Indexed as

Maternal ExposureSignal TransductionAdultAnimalsArsenic PoisoningBinding SitesFemaleGene Expression ProfilingGene Regulatory NetworksGenetic MarkersGenome, HumanHumansInfant, NewbornInflammationMiceNF-kappa BGenetic MarkersNF-kappa BTranscription Factors

Identifiers

PMID18039032
PMCPMC2082467
OpenAlexW2162555240

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.