Evidence map›Paper›PMID 19492049›Full record

ArticlePloS one2009

Gene expression profiling of lymphoblasts from autistic and nonaffected sib pairs: altered pathways in neuronal development and steroid biosynthesis.

Valerie W Hu, AnhThu Nguyen, Kyung Soon Kim, Mara E Steinberg, Tewarit Sarachana, Michele A Scully, Steven J Soldin, Truong Luu, Norman H Lee

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01197131 (Investigation of Urinary Steroid Metabolites in Children With Autism Spectrum Disorder), which is not on this map. Cited by 80 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 3 pooled it
6.2field-weighted citation impact, top 3% 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.

NCT01197131 unknown statusnot on this mapstarted 2010, after this paper: background citation

Investigation of Urinary Steroid Metabolites in Children With Autism Spectrum Disorder

TypeobservationalSponsorIntersci Research Association, AustriaRan2010 to 2019Enrolled160ConditionsAutism, Autism Spectrum Disorder
3 · Its place in the literature

Who cites it

80 citing papers in PubMed, 3 syntheses or guidelines pooled it, 163 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Meta-Analysis of Gene Expression in Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2015
    Pooled it
  4. Neuroinflammation and autism: what have we learned so far?International journal of developmental disabilities · 2026
    Article
  5. Review
  6. Neuregulin 2 Is a Candidate Gene for Autism Spectrum Disorder.International journal of molecular sciences · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Paediatric asthma and non-allergic comorbidities: A review of current risk and proposed mechanisms.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2022
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

20 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

9 authors at 3 institutions in 1 country.

Valerie W HuDepartment of Biochemistry and Molecular Biology, The George Washington University Medical Center, Washington, DC, USA. bcmvwh@gwumc.edu
AnhThu Nguyen
Kyung Soon Kim
Mara E Steinberg
Tewarit Sarachana
Michele A Scully
Steven J Soldin
Truong Luu
Norman H Lee
George Washington University · USWashington University Medical Center · USGeorgetown University · US

Funding

Genomic analyses of autism spectrum disordersR21MH073393 · NIMH · GEORGE WASHINGTON UNIVERSITY · PI HU, VALERIE W · 2006 to 2008
$392k
NIMH NIH HHS R21 MH073393
6 · The paper itself

Abstract

Despite the identification of numerous autism susceptibility genes, the pathobiology of autism remains unknown. The present "case-control" study takes a global approach to understanding the molecular basis of autism spectrum disorders based upon large-scale gene expression profiling. DNA microarray analyses were conducted on lymphoblastoid cell lines from over 20 sib pairs in which one sibling had a diagnosis of autism and the other was not affected in order to identify biochemical and signaling pathways which are differentially regulated in cells from autistic and nonautistic siblings. Bioinformatics and gene ontological analyses of the data implicate genes which are involved in nervous system development, inflammation, and cytoskeletal organization, in addition to genes which may be relevant to gastrointestinal or other physiological symptoms often associated with autism. Moreover, the data further suggests that these processes may be modulated by cholesterol/steroid metabolism, especially at the level of androgenic hormones. Elevation of male hormones, in turn, has been suggested as a possible factor influencing susceptibility to autism, which affects approximately 4 times as many males as females. Preliminary metabolic profiling of steroid hormones in lymphoblastoid cell lines from several pairs of siblings reveals higher levels of testosterone in the autistic sibling, which is consistent with the increased expression of two genes involved in the steroidogenesis pathway. Global gene expression profiling of cultured cells from ASD probands thus serves as a window to underlying metabolic and signaling deficits that may be relevant to the pathobiology of autism.

Indexed as

Gene Expression ProfilingAutistic DisorderComputational BiologyFemaleGene ExpressionGene Regulatory NetworksGenomicsHumansLymphocytesMaleNeuronsOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionSiblingsSignal Transduction

Identifiers

PMID19492049
PMCPMC2685981
OpenAlexW2071731410

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.