Evidence map›Paper›PMID 23915542›Full record

ArticleMolecular autism2013

Identification of an age-dependent biomarker signature in children and adolescents with autism spectrum disorders.

Jordan M Ramsey, Paul C Guest, Jantine Ac Broek, Jeffrey C Glennon, Nanda Rommelse, Barbara Franke, Hassan Rahmoune, Jan K Buitelaar, Sabine Bahn

Abstract read
In one paragraph

Article in Molecular autism, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Comprehensive Behavioral Phenotyping of a 16p11.2 Del Mouse Model for Neurodevelopmental Disorders.Autism research : official journal of the International Society for Autism Research · 2020
    Article
  5. Article
  6. Article
  7. Depletion of Stercobilin in Fecal Matter from a Mouse Model of Autism Spectrum Disorders.Metabolomics : Official journal of the Metabolomic Society · 2017
    Article
  8. Brief Report: The Negev Hospital-University-Based (HUB) Autism Database.Journal of autism and developmental disorders · 2017
    Article
  9. Serologic Markers of Autism Spectrum Disorder.Journal of molecular neuroscience : MN · 2017
    Review
  10. Article
  11. Article
  12. Review
  13. Subclinical inflammatory status in Rett syndrome.Mediators of inflammation · 2014
    Article
  14. Biomarkers in autism.Frontiers in psychiatry · 2014
    Review
  15. Article
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.

Jordan M RamseyDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Tennis Court Road, Cambridge CB2 1QT, UK. sb209@cam.ac.uk.
Paul C Guest
Jantine Ac Broek
Jeffrey C Glennon
Nanda Rommelse
Barbara Franke
Hassan Rahmoune
Jan K Buitelaar
Sabine Bahn

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutism spectrum disorders (ASDs) are neurodevelopmental conditions with symptoms manifesting before the age of 3, generally persisting throughout life and affecting social development and communication. Here, we have investigated changes in protein biomarkers in blood during childhood and adolescent development.

methodsWe carried out a multiplex immunoassay profiling analysis of serum samples from 37 individuals with a diagnosis of ASD and their matched, non-affected siblings, aged between 4 and 18 years, to identify molecular pathways affected over the course of ASDs.

resultsThis analysis revealed age-dependent differences in the levels of 12 proteins involved in inflammation, growth and hormonal signaling.

conclusionsThese deviations in age-related molecular trajectories provide further insight into the progression and pathophysiology of the disorder and, if replicated, may contribute to better classification of ASD individuals, as well as to improved treatment and prognosis. The results also underline the importance of stratifying and analyzing samples by age, especially in ASD and potentially other developmental disorders.

Identifiers

PMID23915542
PMCPMC3751071

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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.