Evidence map›Paper›PMID 33483694›Full record

ArticleMolecular psychiatry2021

Risk assessment analysis for maternal autoantibody-related autism (MAR-ASD): a subtype of autism.

Alexandra Ramirez-Celis, Martin Becker, Miriam Nuño, Joseph Schauer, Nima Aghaeepour, Judy Van de Water

Open access · hybridAbstract read
In one paragraph

Article in Molecular psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 51 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Alexandra Ramirez-CelisDepartment of Internal Medicine, Division of Rheumatology, Allergy, and Clinical Immunology, One Shields Avenue, University of California, Davis, CA, 95616, USA.ORCID http://orcid.org/0000-0002-7510-8310
Martin BeckerDepartment of Anesthesiology, Pain, and Perioperative Medicine, Stanford University, Palo Alto, CA, 94305, USA.ORCID http://orcid.org/0000-0003-4296-3481
Miriam NuñoDepartment of Public Health Sciences, Division of Biostatistics, One Shields Avenue, University of California, Davis, CA, 95616, USA.
Joseph SchauerDepartment of Internal Medicine, Division of Rheumatology, Allergy, and Clinical Immunology, One Shields Avenue, University of California, Davis, CA, 95616, USA.
Nima AghaeepourDepartment of Anesthesiology, Pain, and Perioperative Medicine, Stanford University, Palo Alto, CA, 94305, USA.
Judy Van de WaterDepartment of Internal Medicine, Division of Rheumatology, Allergy, and Clinical Immunology, One Shields Avenue, University of California, Davis, CA, 95616, USA. javandewater@ucdavis.edu.ORCID http://orcid.org/0000-0003-1193-5875
University of California, Davis · USPalo Alto University · US

Funding

UC Davis Environmental Health Sciences Core CenterP30ES023513 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Nicholas J. KENYON · 2015 to 2026
$26.0M
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
Research Project: Pathologic Significance of Maternal AutoantibodiesP50HD103526 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI JUDY A. VAN DE WATER · 2020 to 2026
$9.7M
Rodent Behavior CoreU54HD079125 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI ABBEDUTO, LEONARD J. · 2013 to 2019
$8.5M
Machine Learning for Integrative Modeling of the Immune System in Clinical SettingsR35GM138353 · NIGMS · STANFORD UNIVERSITY · PI AGHAEEPOUR, NIMA · 2020 to 2024
$2.2M
NICHD NIH HHS P50 HD103526NICHD NIH HHS U54 HD079125NIEHS NIH HHS P01 ES011269NIEHS NIH HHS P30 ES023513NIEHS NIH HHS R01 ES015359NIGMS NIH HHS R35 GM138353
6 · The paper itself

Abstract

The incidence of autism spectrum disorder (ASD) has been rising, however ASD-risk biomarkers remain lacking. We previously identified the presence of maternal autoantibodies to fetal brain proteins specific to ASD, now termed maternal autoantibody-related (MAR) ASD. The current study aimed to create and validate a serological assay to identify ASD-specific maternal autoantibody patterns of reactivity against eight previously identified proteins (CRMP1, CRMP2, GDA, NSE, LDHA, LDHB, STIP1, and YBOX) that are highly expressed in developing brain, and determine the relationship of these reactivity patterns with ASD outcome severity. We used plasma from mothers of children diagnosed with ASD (n = 450) and from typically developing children (TD, n = 342) to develop an ELISA test for each of the protein antigens. We then determined patterns of reactivity a highly significant association with ASD, and discovered several patterns that were ASD-specific (18% in the training set and 10% in the validation set vs. 0% TD). The three main patterns associated with MAR ASD are CRMP1 + GDA (ASD% = 4.2 vs. TD% = 0, OR 31.04, p = <0.0001), CRMP1 + CRMP2 (ASD% = 3.6 vs. TD% = 0, OR 26.08, p = 0.0005) and NSE + STIP1 (ASD% = 3.1 vs. TD% = 0, OR 22.82, p = 0.0001). Additionally, we found that maternal autoantibody reactivity to CRMP1 significantly increases the odds of a child having a higher Autism Diagnostic Observation Schedule (ADOS) severity score (OR 2.3; 95% CI: 1.358-3.987, p = 0.0021). This is the first report that uses machine learning subgroup discovery to identify with 100% accuracy MAR ASD-specific patterns as potential biomarkers of risk for a subset of up to 18% of ASD cases in this study population.

Indexed as

Autism Spectrum DisorderAutistic DisorderAutoantibodiesBrainChildFemaleHumansRisk AssessmentAutoantibodies

Identifiers

PMID33483694
PMCPMC8159732
OpenAlexW3121491562

What OpenQuestion holds

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Registered trials

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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.