Department of Pharmacy, Fujian Children's Hospital, Fuzhou, China.
Department of Pediatric Endocrinology, Fujian Children's Hospital, Fuzhou, China.
Front Immunol. 2023 Apr 24;14:1139420. doi: 10.3389/fimmu.2023.1139420. eCollection 2023.
Necroptosis is a novel form of controlled cell death that contributes to the progression of various illnesses. Nonetheless, the function and significance of necroptosis in autism spectrum disorders (ASD) remain unknown and require further investigation.
We utilized single-nucleus RNA sequencing (snRNA-seq) data to assess the expression patterns of necroptosis in children with autism spectrum disorder (ASD) based on 159 necroptosis-related genes. We identified differentially expressed NRGs and used an unsupervised clustering approach to divide ASD children into distinct molecular subgroups. We also evaluated immunological infiltrations and immune checkpoints using the CIBERSORT algorithm. Characteristic NRGs, identified by the LASSO, RF, and SVM-RFE algorithms, were utilized to construct a risk model. Moreover, functional enrichment, immune infiltration, and CMap analysis were further explored. Additionally, external validation was performed using RT-PCR analysis.
Both snRNA-seq and bulk transcriptome data demonstrated a greater necroptosis score in ASD children. Among these cell subtypes, excitatory neurons, inhibitory neurons, and endothelials displayed the highest activity of necroptosis. Children with ASD were categorized into two subtypes of necroptosis, and subtype2 exhibited higher immune activity. Four characteristic NRGs (TICAM1, CASP1, CAPN1, and CHMP4A) identified using three machine learning algorithms could predict the onset of ASD. Nomograms, calibration curves, and decision curve analysis (DCA) based on 3-NRG have been shown to have clinical benefit in children with ASD. Furthermore, necroptosis-based riskScore was found to be positively associated with immune activation. Finally, RT-PCR demonstrated differentially expressed of these four NRGs in human peripheral blood samples.
A comprehensive identification of necroptosis may shed light on the underlying pathogenic process driving ASD onset. The classification of necroptosis subtypes and construction of a necroptosis-related risk model may yield significant insights for the individualized treatment of children with ASD.
坏死性凋亡是一种新型的细胞程序性死亡方式,参与多种疾病的进展。然而,坏死性凋亡在自闭症谱系障碍(ASD)中的作用和意义尚不清楚,需要进一步研究。
我们利用单核 RNA 测序(snRNA-seq)数据,基于 159 个与坏死性凋亡相关的基因,评估了自闭症谱系障碍(ASD)儿童中坏死性凋亡的表达模式。我们鉴定了差异表达的 NRGs,并使用无监督聚类方法将 ASD 儿童分为不同的分子亚群。我们还使用 CIBERSORT 算法评估了免疫浸润和免疫检查点。使用 LASSO、RF 和 SVM-RFE 算法鉴定的特征 NRGs 用于构建风险模型。此外,还进行了功能富集、免疫浸润和 CMap 分析。此外,还使用 RT-PCR 分析进行了外部验证。
snRNA-seq 和批量转录组数据均显示 ASD 儿童的坏死性凋亡评分较高。在这些细胞亚型中,兴奋性神经元、抑制性神经元和内皮细胞的坏死性凋亡活性最高。ASD 儿童分为两种坏死性凋亡亚型,亚型 2 的免疫活性更高。使用三种机器学习算法鉴定的四个特征 NRGs(TICAM1、CASP1、CAPN1 和 CHMP4A)可预测 ASD 的发生。基于 3-NRG 的列线图、校准曲线和决策曲线分析(DCA)显示,在 ASD 儿童中具有临床获益。此外,基于坏死性凋亡的风险评分与免疫激活呈正相关。最后,RT-PCR 显示这四个 NRGs 在人外周血样本中的表达存在差异。
全面鉴定坏死性凋亡可能有助于揭示驱动 ASD 发病的潜在致病过程。坏死性凋亡亚型的分类和构建坏死性凋亡相关风险模型可能为 ASD 儿童的个体化治疗提供重要见解。