Plasma Proteomic of Adolescent Idiopathic Scoliosis

Adolescent idiopathic scoliosis (AIS) is the most common spinal deformity encountered in adolescents. Here we portray the plasma proteomic landscape of 235 AIS samples. Enrichment analysis demonstrate that proteins with the increased level in AIS are significantly enriched in pathways including muscle weakness, disorder of hormone, whereas proteins showed decreased level in healthy controls are mainly involved in pathways related to immune response. The weighted gene correlation network analysis analysis indicates unbalanced lipid and glucose metabolism due to the insulin signaling activation could affect the AIS progression. Molecular subtyping classifies AIS patients into three subtypes that connected with significantly different Cobb angle (the standard radiographic measure of spinal curvature) with the estrogen and glucocorticoid disorder and have effects on the muscle weakness and bone remodeling, respectively. Additional, non-linear associations between Cobb and plasma proteome data reveals that the plasma proteome of 26 degrees and 51 degrees is dramatically differed across these two Cobb ranges. Finally, we construct two proteomics classifiers for the AIS screening and progression state prediction that have the good performance on both discovery and validation cohort (area under the receiver operating characteristic >0.90). This study generates a high-quality data resource that may benefit basic research and provides additional biological insights underlying clinical features of AIS.

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Publication Details

Journal
Molecular & Cellular Proteomics
Published
2025-12-09
DOI
https://doi.org/10.1016/j.mcpro.2025.101486
Citations
1
Primary Topic
Scoliosis diagnosis and treatment
Type
article
Field-Weighted Citation Impact
2.01

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article

Plasma Proteomic of Adolescent Idiopathic Scoliosis

Lin Bai, Jiacheng Lyu, Subei Tan, Wenjun Yang et al.
1 citations
Molecular & Cellular Proteomics
Scoliosis diagnosis and treatment
2.01
article

Plasma Proteomic of Adolescent Idiopathic Scoliosis

Lin Bai, Jiacheng Lyu, Subei Tan, Wenjun Yang, Junlin Yang, Xiexiang Shao, Chen Ding, Yaqing Zhang, Tao Ji, Tianyuan Zhang, Zeya Xu
article en
1 citations

Abstract

Adolescent idiopathic scoliosis (AIS) is the most common spinal deformity encountered in adolescents. Here we portray the plasma proteomic landscape of 235 AIS samples. Enrichment analysis demonstrate that proteins with the increased level in AIS are significantly enriched in pathways including muscle weakness, disorder of hormone, whereas proteins showed decreased level in healthy controls are mainly involved in pathways related to immune response. The weighted gene correlation network analysis analysis indicates unbalanced lipid and glucose metabolism due to the insulin signaling activation could affect the AIS progression. Molecular subtyping classifies AIS patients into three subtypes that connected with significantly different Cobb angle (the standard radiographic measure of spinal curvature) with the estrogen and glucocorticoid disorder and have effects on the muscle weakness and bone remodeling, respectively. Additional, non-linear associations between Cobb and plasma proteome data reveals that the plasma proteome of 26 degrees and 51 degrees is dramatically differed across these two Cobb ranges. Finally, we construct two proteomics classifiers for the AIS screening and progression state prediction that have the good performance on both discovery and validation cohort (area under the receiver operating characteristic >0.90). This study generates a high-quality data resource that may benefit basic research and provides additional biological insights underlying clinical features of AIS.

Molecular & Cellular ProteomicsVol. 25(2)
Fudan University (CN), XinHua Hospital (CN), Pudong Medical Center (CN)
Natural Science Foundation of Shanghai, National Natural Science Foundation of China, Fudan University, National Key Research and Development Program of China, Program of Shanghai Academic Research Leader
Openalex Percentile: Top 10%
Scoliosis diagnosis and treatment
2.01
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