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Tang X, Feng C, Zhao Y, Zhang H, Gao Y, Cao X, Hong Q, Lin J, Zhuang H, Feng Y, Wang H, Shen L. A study of genetic heterogeneity in autism spectrum disorders based on plasma proteomic and metabolomic analysis: multiomics study of autism heterogeneity. MedComm (Beijing) 2023; 4:e380. [PMID: 37752942 PMCID: PMC10518435 DOI: 10.1002/mco2.380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 08/04/2023] [Accepted: 08/24/2023] [Indexed: 09/28/2023] Open
Abstract
Genetic heterogeneity poses a challenge to research and clinical translation of autism spectrum disorder (ASD). In this study, we conducted a plasma proteomic and metabolomic study of children with ASD with and without risk genes (de novo mutation) and controls to explore the impact of genetic heterogeneity on the search for biomarkers for ASD. In terms of the proteomic and metabolomic profiles, the groups of children with ASD carrying and those not carrying de novo mutation tended to cluster and overlap, and integrating them yielded differentially expressed proteins and differential metabolites that effectively distinguished ASD from controls. The mechanisms associated with them focus on several common and previously reported mechanisms. Proteomics results highlight the role of complement, inflammation and immunity, and cell adhesion. The main pathways of metabolic perturbations include amino acid, vitamin, glycerophospholipid, tryptophan, and glutamates metabolic pathways and solute carriers-related pathways. Integrating the two omics analyses revealed that L-glutamic acid and malate dehydrogenase may play key roles in the pathogenesis of ASD. These results suggest that children with ASD may have important underlying common mechanisms. They are not only potential therapeutic targets for ASD but also important contributors to the study of biomarkers for the disease.
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Affiliation(s)
- Xiaoxiao Tang
- College of Life Science and OceanographyShenzhen UniversityShenzhenP. R. China
| | - Chengyun Feng
- Maternal and Child Health Hospital of BaoanShenzhenP. R. China
| | - Yuxi Zhao
- College of Life Science and OceanographyShenzhen UniversityShenzhenP. R. China
| | - Huajie Zhang
- College of Life Science and OceanographyShenzhen UniversityShenzhenP. R. China
| | - Yan Gao
- Maternal and Child Health Hospital of BaoanShenzhenP. R. China
| | - Xueshan Cao
- College of Life Science and OceanographyShenzhen UniversityShenzhenP. R. China
| | - Qi Hong
- Maternal and Child Health Hospital of BaoanShenzhenP. R. China
| | - Jing Lin
- College of Life Science and OceanographyShenzhen UniversityShenzhenP. R. China
| | - Hongbin Zhuang
- College of Life Science and OceanographyShenzhen UniversityShenzhenP. R. China
| | - Yuying Feng
- College of Life Science and OceanographyShenzhen UniversityShenzhenP. R. China
| | - Hanghang Wang
- College of Life Science and OceanographyShenzhen UniversityShenzhenP. R. China
| | - Liming Shen
- College of Life Science and OceanographyShenzhen UniversityShenzhenP. R. China
- Shenzhen‐Hong Kong Institute of Brain Science‐Shenzhen Fundamental Research InstitutionsShenzhenP. R. China
- Shenzhen Key Laboratory of Marine Biotechnology and EcologyShenzhenP. R. China
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Duan L, Liu J, Yin H, Wang W, Liu L, Shen J, Wang Z. Dynamic changes in spatiotemporal transcriptome reveal maternal immune dysregulation of autism spectrum disorder. Comput Biol Med 2022; 151:106334. [PMID: 36442276 DOI: 10.1016/j.compbiomed.2022.106334] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 11/10/2022] [Accepted: 11/15/2022] [Indexed: 11/18/2022]
Abstract
Maternal immune activation (MIA) during pregnancy is known to be an environmental risk factor for neurodevelopment and autism spectrum disorder (ASD). However, it is unclear at which fetal brain developmental windows and regions MIA induces ASD-related neurodevelopmental transcriptional abnormalities. The non-chasm differentially expressed genes (DEGs) involved in MIA inducing ASD during fetal brain developmental windows were identified by performing the differential expression analysis and comparing the common DEGs among MIA at four different gestational development windows, ASD with multiple brain regions from human patients and mouse models, and human and mouse embryonic brain developmental trajectory. The gene set and functional enrichment analyses were performing to identify MIA dysregulated ASD-related the fetal neurodevelopmental windows and brain regions and function annotations. Additionally, the networks were constructed using Cytoscape for visualization. MIA at E12.5 and E14.5 increased the risk of distinct brain regions for ASD. MIA-driven transcriptional alterations of non-chasm DEGs, during the coincidence brain developmental windows between human and mice, involving ASD-relevant synaptic components, as well as immune- and metabolism-related functions and pathways. Furthermore, a great number of non-chasm brain development-, immune-, and metabolism-related DEGs were overlapped in at least two existing ASD-associated databases, suggesting that the others could be considered as the candidate targets to construct the model mice for explaining the pathological changes of ASD when environmental factors (MIA) and gene mutation effects co-occur. Overall, our search supported that transcriptome-based MIA dysregulated the brain development-, immune-, and metabolism-related non-chasm DEGs at specific embryonic brain developmental window and region, leading to abnormal embryonic neurodevelopment, to induce the increasing risk of ASD.
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Affiliation(s)
- Lian Duan
- Central Laboratory, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China; Institute of Life Sciences, College of Life and Environmental Sciences, Wenzhou University, Chashan University Town, Wenzhou, 325035, China
| | - Jiaxin Liu
- Institute of Life Sciences, College of Life and Environmental Sciences, Wenzhou University, Chashan University Town, Wenzhou, 325035, China
| | - Huamin Yin
- Institute of Life Sciences, College of Life and Environmental Sciences, Wenzhou University, Chashan University Town, Wenzhou, 325035, China
| | - Wenhang Wang
- Institute of Life Sciences, College of Life and Environmental Sciences, Wenzhou University, Chashan University Town, Wenzhou, 325035, China
| | - Li Liu
- Institute of Life Sciences, College of Life and Environmental Sciences, Wenzhou University, Chashan University Town, Wenzhou, 325035, China
| | - Jingling Shen
- Institute of Life Sciences, College of Life and Environmental Sciences, Wenzhou University, Chashan University Town, Wenzhou, 325035, China.
| | - Zhendong Wang
- Key Laboratory of Interventional Pulmonology of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
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