Evidence map›Paper›PMID 33626076›Full record

ArticlePloS one2021

Blood biomarker discovery for autism spectrum disorder: A proteomic analysis.

Laura Hewitson, Jeremy A Mathews, Morgan Devlin, Claire Schutte, Jeon Lee, Dwight C German

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
6.3field-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.

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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Autologous cord bloodWorld journal of clinical pediatrics · 2025
    Trial
  3. Trial
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  6. Article
  7. Article
  8. Characterization of Primary Muscle Tension Dysphonia Using Acoustic and Aerodynamic Voice Metrics.Journal of voice : official journal of the Voice Foundation · 2023
    Article
  9. Article
  10. Article
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  12. Article
  13. Review
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  18. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Laura HewitsonThe Johnson Center for Child Health and Development, Austin, TX, United States of America.ORCID 0000-0001-8079-0820
Jeremy A MathewsDepartments of Mathematical Sciences and Biological Sciences, Bioinformatics & Computational Biology Program, University of Texas at Dallas, Dallas, TX, United States of America.ORCID 0000-0002-2931-1430
Morgan DevlinThe Johnson Center for Child Health and Development, Austin, TX, United States of America.
Claire SchutteThe Johnson Center for Child Health and Development, Austin, TX, United States of America.
Jeon LeeLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX, United States of America.ORCID 0000-0002-9071-7157
Dwight C GermanDepartment of Psychiatry, UT Southwestern Medical Center, Dallas, TX, United States of America.
Johnson Center for Child Health and Development · USSouthwestern Medical Center · USThe University of Texas at Dallas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and social interaction and restricted, repetitive patterns of behavior, interests, or activities. Given the lack of specific pharmacological therapy for ASD and the clinical heterogeneity of the disorder, current biomarker research efforts are geared mainly toward identifying markers for determining ASD risk or for assisting with a diagnosis. A wide range of putative biological markers for ASD is currently being investigated. Proteomic analyses indicate that the levels of many proteins in plasma/serum are altered in ASD, suggesting that a panel of proteins may provide a blood biomarker for ASD. Serum samples from 76 boys with ASD and 78 typically developing (TD) boys, 18 months-8 years of age, were analyzed to identify possible early biological markers for ASD. Proteomic analysis of serum was performed using SomaLogic's SOMAScanTM assay 1.3K platform. A total of 1,125 proteins were analyzed. There were 86 downregulated proteins and 52 upregulated proteins in ASD (FDR < 0.05). Combining three different algorithms, we found a panel of 9 proteins that identified ASD with an area under the curve (AUC) = 0.8599±0.0640, with specificity and sensitivity of 0.8217±0.1178 and 0.835±0.1176, respectively. All 9 proteins were significantly different in ASD compared with TD boys, and were significantly correlated with ASD severity as measured by ADOS total scores. Using machine learning methods, a panel of serum proteins was identified that may be useful as a blood biomarker for ASD in boys. Further verification of the protein biomarker panel with independent test sets is warranted.

Indexed as

AlgorithmsArea Under CurveAutism Spectrum DisorderBiomarkersCommunicationHumansMachine LearningProteomicsBiomarkers

Identifiers

PMID33626076
PMCPMC7904196
OpenAlexW3132765994

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.