Pubmed du 22/10/23
1. Oliveros JC, Santiesteban I, Ulloa JL. Can measures of social cognition predict autistic traits?. Acta Psychol (Amst);2023 (Oct 19);240:104056.
Past research has yielded conflicting findings concerning socio-cognitive deficits in individuals with autistic traits. This raises the fundamental question whether autistic traits and socio-cognitive abilities are related. The present study investigated whether three key socio-cognitive abilities-imitation-inhibition, empathy, and emotion regulation-can serve as predictive factors for autistic traits within a neurotypical population. Participants (N = 166, M(age) = 24.83 years, SD(age) = 5.20 years, range(age) = 18 to 39 years) were asked to perform an online imitation-inhibition task and complete self-report measures assessing empathy, emotion regulation, and autistic traits. Empathy was measured using the Interpersonal Reactivity Index (IRI), emotion regulation was assessed using the Difficulties in Emotion Regulation Scale (DERS), and autistic traits were measured using the ten-item short form of the Autism-Spectrum Quotient (AQ-10). Multiple regression analyses revealed that both imitation-inhibition and emotion regulation were significantly associated with autistic traits. However, empathy was not found to be a significant predictor. Our study aimed to clarify inconsistent results regarding the relationship between socio-cognitive abilities and autistic traits.
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2. Zhao S, Zhong Y, Shen F, Cheng X, Qing X, Liu J. Comprehensive exosomal microRNA profile and construction of competing endogenous RNA network in autism spectrum disorder: A pilot study. Biomol Biomed;2023 (Oct 20)
Exosomes have been demonstrated to exert momentous roles in autism spectrum disorder (ASD). However, few studies have reported a correlation between exosomal microRNAs (miRNAs) and ASD. To date, our understanding of crucial competing endogenous RNA (ceRNA) networks in ASD remains limited. Herein, the exosomal miRNA profile in the peripheral blood of children with ASD and healthy controls was investigated and the level of immune cell infiltration in ASD was evaluated to determine the distribution of immune cell subtypes. Exosomes were isolated from the peripheral blood of 10 children with ASD and 10 healthy controls, and further identified using transmission electron microscopy and western blot analysis. RNA sequencing was conducted to investigate exosomal miRNA profiles in patients with ASD. The mRNA and circular RNA (circRNA) expression profiles were acquired from the Gene Expression Omnibus (GEO) database. Differentially expressed mRNAs (DEmRNAs), miRNAs (DEmiRNAs), and circRNAs (DEcircRNAs) were identified and ceRNA regulatory networks were constructed. Furthermore, the immune cell infiltration levels in patients with ASD were evaluated. Exosomes were spherical, approximately 100 nm in size, and were confirmed via western blot analysis using exosome-associated markers CD9, CD63, and CD81. Thirty-five DEmRNAs, 63 DEmiRNAs, and 494 DEcircRNAs were identified in patients with ASD. CeRNA regulatory networks, including 6 DEmRNAs, 14 DEmiRNAs, and 86 DEcircRNAs, were established. Correlation analysis indicated that leucine-rich glioma inactivated protein 1 (LGI1) expression was significantly positively correlated with the content of CD8+ T cells. Our findings may be conducive to offering novel insights into this disease and providing further evidence of transcriptomic abnormalities in ASD.
