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Identification of Ferroptosis-Related Molecular Clusters and Immune Characterization in Autism Spectrum Disorder
Introduction: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with clinical presentation and prognostic heterogeneity. Ferroptosis is a regulated non-apoptotic cell death program implicated in the occurrence and progression of various diseases. Therefore, we aimed to explore ferropto...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403309/ https://www.ncbi.nlm.nih.gov/pubmed/36035135 http://dx.doi.org/10.3389/fgene.2022.911119 |
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author | Liu, Lichun Lai, Yongxing Zhan, Zhidong Fu, Qingxian Jiang, Yuelian |
author_facet | Liu, Lichun Lai, Yongxing Zhan, Zhidong Fu, Qingxian Jiang, Yuelian |
author_sort | Liu, Lichun |
collection | PubMed |
description | Introduction: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with clinical presentation and prognostic heterogeneity. Ferroptosis is a regulated non-apoptotic cell death program implicated in the occurrence and progression of various diseases. Therefore, we aimed to explore ferroptosis-related molecular subtypes in ASD and further illustrate the potential mechanism. Methods: A total of 201 normal samples and 293 ASD samples were obtained from the Gene Expression Omnibus (GEO) database. We used the unsupervised clustering analysis to identify the molecular subtypes based on ferroptosis-related genes (FRGs) and evaluate the immune characteristics between ferroptosis subtypes. Ferroptosis signatures were identified using the least absolute shrinkage and selection operator regression (LASSO) and recursive feature elimination for support vector machines (SVM-RFE) machine learning algorithms. The ferroptosis scores based on seven selected genes were constructed to evaluate the ferroptosis characteristics of ASD. Results: We identified 16 differentially expressed FRGs in ASD children compared with controls. Two distinct molecular clusters associated with ferroptosis were identified in ASD. Analysis of immune infiltration revealed immune heterogeneity between the two clusters. Cluster2, characterized by a higher immune score and a larger number of infiltrated immune cells, exhibited a stronger immune response and was markedly enriched in immune response-related signaling pathways. Additionally, the ferroptosis scores model was capable of predicting ASD subtypes and immunity. Higher levels of ferroptosis scores were associated with immune activation, as seen in Cluster2. Lower ferroptosis scores were accompanied by relative immune downregulation, as seen in Cluster1. Conclusion: Our study systematically elucidated the intricate correlation between ferroptosis and ASD and provided a promising ferroptosis score model to predict the molecular clusters and immune infiltration cell profiles of children with ASD. |
format | Online Article Text |
id | pubmed-9403309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94033092022-08-26 Identification of Ferroptosis-Related Molecular Clusters and Immune Characterization in Autism Spectrum Disorder Liu, Lichun Lai, Yongxing Zhan, Zhidong Fu, Qingxian Jiang, Yuelian Front Genet Genetics Introduction: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with clinical presentation and prognostic heterogeneity. Ferroptosis is a regulated non-apoptotic cell death program implicated in the occurrence and progression of various diseases. Therefore, we aimed to explore ferroptosis-related molecular subtypes in ASD and further illustrate the potential mechanism. Methods: A total of 201 normal samples and 293 ASD samples were obtained from the Gene Expression Omnibus (GEO) database. We used the unsupervised clustering analysis to identify the molecular subtypes based on ferroptosis-related genes (FRGs) and evaluate the immune characteristics between ferroptosis subtypes. Ferroptosis signatures were identified using the least absolute shrinkage and selection operator regression (LASSO) and recursive feature elimination for support vector machines (SVM-RFE) machine learning algorithms. The ferroptosis scores based on seven selected genes were constructed to evaluate the ferroptosis characteristics of ASD. Results: We identified 16 differentially expressed FRGs in ASD children compared with controls. Two distinct molecular clusters associated with ferroptosis were identified in ASD. Analysis of immune infiltration revealed immune heterogeneity between the two clusters. Cluster2, characterized by a higher immune score and a larger number of infiltrated immune cells, exhibited a stronger immune response and was markedly enriched in immune response-related signaling pathways. Additionally, the ferroptosis scores model was capable of predicting ASD subtypes and immunity. Higher levels of ferroptosis scores were associated with immune activation, as seen in Cluster2. Lower ferroptosis scores were accompanied by relative immune downregulation, as seen in Cluster1. Conclusion: Our study systematically elucidated the intricate correlation between ferroptosis and ASD and provided a promising ferroptosis score model to predict the molecular clusters and immune infiltration cell profiles of children with ASD. Frontiers Media S.A. 2022-08-11 /pmc/articles/PMC9403309/ /pubmed/36035135 http://dx.doi.org/10.3389/fgene.2022.911119 Text en Copyright © 2022 Liu, Lai, Zhan, Fu and Jiang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Liu, Lichun Lai, Yongxing Zhan, Zhidong Fu, Qingxian Jiang, Yuelian Identification of Ferroptosis-Related Molecular Clusters and Immune Characterization in Autism Spectrum Disorder |
title | Identification of Ferroptosis-Related Molecular Clusters and Immune Characterization in Autism Spectrum Disorder |
title_full | Identification of Ferroptosis-Related Molecular Clusters and Immune Characterization in Autism Spectrum Disorder |
title_fullStr | Identification of Ferroptosis-Related Molecular Clusters and Immune Characterization in Autism Spectrum Disorder |
title_full_unstemmed | Identification of Ferroptosis-Related Molecular Clusters and Immune Characterization in Autism Spectrum Disorder |
title_short | Identification of Ferroptosis-Related Molecular Clusters and Immune Characterization in Autism Spectrum Disorder |
title_sort | identification of ferroptosis-related molecular clusters and immune characterization in autism spectrum disorder |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403309/ https://www.ncbi.nlm.nih.gov/pubmed/36035135 http://dx.doi.org/10.3389/fgene.2022.911119 |
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