Data independent acquisition proteomics and machine learning reveals that proteins associated with immunity are potential molecular markers for early diagnosis of autism
Our study showed that immunity is closely related to the onset of autism and can be used for early screening of patients. A model with eight proteins (IGH c1898_heavy_IGHV3-33_IGHD3-9_IGHJ4, LYZ, IGL c1860_light_IGLV8-61_IGLJ2, SERPINA10, IG c1421_light_IGKV1-27_IGKJ4, rheumatoid factor RF-ET1, IGL c600_light_IGKV4-1_IGKJ4, and SELL), which are mostly associated with immunity, is accurate for diagnosis of autism.
Authors
- Xiangwen Peng (ORCID: https://orcid.org/0000-0001-9110-5163)
- Xiaohui Gong (ORCID: https://orcid.org/0000-0001-7956-8608)
- Xiaoni Kuang
- Tuanmei Wang
- Wenjuan Zhou (ORCID: https://orcid.org/0000-0002-1681-9198)
- Sifeng Wang (ORCID: https://orcid.org/0000-0003-4244-4091)
- Chunhua Ye
- Sun Zhaohui
- Kang Yan (ORCID: https://orcid.org/0000-0001-6124-4242)
- Ming Zhu (ORCID: https://orcid.org/0000-0003-0107-2893)
- Yuxia Cheng
- Erlin Hu
Institutions
- Hunan Normal University (CN)
- Changsha Hospital for Maternal and Child Health Care (CN)
- Hunan Institute of Mental Health (CN)
- Hunan Provincial Maternal and Child Health Hospital (CN)
Publication Details
- Journal
- Clinica Chimica Acta
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1016/j.cca.2025.120238
- Primary Topic
- Autism Spectrum Disorder Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00