Evidence map›Paper›PMID 36646776›Full record

ArticleScientific reports2023

RNA sequencing of blood from sex- and age-matched discordant siblings supports immune and transcriptional dysregulation in autism spectrum disorder.

Pasquale Tomaiuolo, Ignazio Stefano Piras, Simona Baghai Sain, Chiara Picinelli, Marco Baccarin, Paola Castronovo, Marco J Morelli, Dejan Lazarevic, Maria Luisa Scattoni, Giovanni Tonon and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 11 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

11 authors at 6 institutions in 2 countries.

Pasquale TomaiuoloMafalda Luce Center for Pervasive Developmental Disorders, Milan, Italy.
Ignazio Stefano PirasNeurogenomics Division, The Translational Genomics Research Institute, Phoenix, AZ, USA.
Simona Baghai SainCenter for Translational Genomics and Bioinformatics, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Chiara PicinelliMafalda Luce Center for Pervasive Developmental Disorders, Milan, Italy.
Marco BaccarinMafalda Luce Center for Pervasive Developmental Disorders, Milan, Italy.
Paola CastronovoMafalda Luce Center for Pervasive Developmental Disorders, Milan, Italy.
Marco J MorelliCenter for Translational Genomics and Bioinformatics, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Dejan LazarevicCenter for Translational Genomics and Bioinformatics, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Maria Luisa ScattoniResearch Coordination and Support Service, Istituto Superiore di Sanità, Rome, Italy.
Giovanni TononCenter for Translational Genomics and Bioinformatics, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Antonio M PersicoChild and Adolescent Neuropsychiatry Program, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi 287, 41125, Modena, Italy. antonio.persico@unimore.it.
Istituto di Ricovero e Cura a Carattere Scientifico San RaffaeleIstituti di Ricovero e Cura a Carattere Scientifico · ITIstituto Superiore di Sanità · ITTranslational Genomics Research Institute · USUniversity of Modena and Reggio Emilia · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental condition with onset in early childhood, still diagnosed only through clinical observation due to the lack of laboratory biomarkers. Early detection strategies would be especially useful in screening high-risk newborn siblings of children already diagnosed with ASD. We performed RNA sequencing on peripheral blood, comparing 27 pairs of ASD children vs their sex- and age-matched unaffected siblings. Differential gene expression profiling, performed applying an unpaired model found two immune genes, EGR1 and IGKV3D-15, significantly upregulated in ASD patients (both p adj = 0.037). Weighted gene correlation network analysis identified 18 co-expressed modules. One of these modules was downregulated among autistic individuals (p = 0.035) and a ROC curve using its eigengene values yielded an AUC of 0.62. Genes in this module are primarily involved in transcriptional control and its hub gene, RACK1, encodes for a signaling protein critical for neurodevelopment and innate immunity, whose expression is influenced by various hormones and known "endocrine disruptors". These results indicate that transcriptomic biomarkers can contribute to the sensitivity of an intra-familial multimarker panel for ASD and provide further evidence that neurodevelopment, innate immunity and transcriptional regulation are key to ASD pathogenesis.

Indexed as

Autism Spectrum DisorderAutistic DisorderBiomarkersChildChild, PreschoolHumansInfant, NewbornSequence Analysis, RNASiblingsBiomarkers

Identifiers

PMID36646776
PMCPMC9842630
OpenAlexW4316468722

What OpenQuestion holds

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LicenceCC BY
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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.