: 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.

RNA sequencing of blood from sex- and age-matched discordant siblings supports immune and transcriptional dysregulation in autism spectrum disorder / Tomaiuolo, Pasquale; Piras, Ignazio Stefano; Sain, Simona Baghai; Picinelli, Chiara; Baccarin, Marco; Castronovo, Paola; Morelli, Marco J; Lazarevic, Dejan; Scattoni, Maria Luisa; Tonon, Giovanni; Persico, Antonio M. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 13:1(2023), pp. 807-807. [10.1038/s41598-023-27378-w]

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

Scattoni, Maria Luisa;Persico, Antonio M
2023

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.
2023
13
1
807
807
RNA sequencing of blood from sex- and age-matched discordant siblings supports immune and transcriptional dysregulation in autism spectrum disorder / Tomaiuolo, Pasquale; Piras, Ignazio Stefano; Sain, Simona Baghai; Picinelli, Chiara; Baccarin, Marco; Castronovo, Paola; Morelli, Marco J; Lazarevic, Dejan; Scattoni, Maria Luisa; Tonon, Giovanni; Persico, Antonio M. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 13:1(2023), pp. 807-807. [10.1038/s41598-023-27378-w]
Tomaiuolo, Pasquale; Piras, Ignazio Stefano; Sain, Simona Baghai; Picinelli, Chiara; Baccarin, Marco; Castronovo, Paola; Morelli, Marco J; Lazarevic, ...espandi
File in questo prodotto:
File Dimensione Formato  
RNA_seq_SciRep_Tomaiuolo_et_al_2023.pdf

Open access

Tipologia: Versione pubblicata dall'editore
Dimensione 2.5 MB
Formato Adobe PDF
2.5 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1300987
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact