Qingbao Guo,1,2,* Manli Xie,3,* Qian-Nan Wang,4,* Jingjie Li,1,2 Simeng Liu,1,2 Xiaopeng Wang,1,2 Dan Yu,5 Zhengxing Zou,5 Gan Gao,1,2 Qian Zhang,5 Fangbin Hao,1,2 Jie Feng,5 Rimiao Yang,5 Minjie Wang,1,2 Heguan Fu,5 Xiangyang Bao,5 Lian Duan2 

1Medical School of Chinese PLA, Beijing, People’s Republic of China; 2Department of Neurosurgery, First Medical Centre, Chinese PLA General Hospital, Beijing, People’s Republic of China; 3Department of Occupational Diseases, Xi’an Central Hospital, Xi’an, Shanxi, People’s Republic of China; 4Department of Neurosurgery, Eighth Medical Centre, Chinese PLA General Hospital, Beijing, People’s Republic of China; 5Department of Neurosurgery, Fifth Medical Centre, Chinese PLA General Hospital, Beijing, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Xiangyang Bao; Lian Duan, Email bzy123@163.com; duanlian307@sina.com

Background: Moyamoya disease (MMD) signifies a cerebrovascular disorder with obscure origin and a more rapid and severe progression in children than adults. This investigation aims to uncover age-associated distinctions through proteomic and metabolomic profiling to gain insights into the underlying mechanisms of MMD.
Methods: Twelve MMD patients—six children and six adults—along with six healthy controls (HC), participated, each providing a 10 mL blood sample. Serum proteomic and metabolomic analyses were conducted using ultra-performance liquid chromatography and high-resolution mass spectrometry, complemented by bioinformatics to identify differential biomolecules and their interactions. Pathway implications were ascertained using GO and KEGG enrichment analysis.
Results: Notable proteomic and metabolomic discrepancies were observed between pediatric and adult MMD subjects. A total of 235 and 216 proteins varied in adult and pediatric cases compared to HCs, with 73 proteins shared. In addition, 129 and 74 anionic, plus 96 and 104 cationic metabolites, were differentially expressed in the pediatric and adult groups, respectively, with 34 anionic and 28 cationic metabolites in common. Age-specific biomolecules further characterized these distinctions. Enrichment analysis pinpointed immunity and inflammation pathways, with vitamin digestion and absorption highlighted as pivotal in pediatric MMD.
Conclusion: This study unveils distinct metabolic and proteomic patterns within pediatric and adult MMD patients. The critical role of the vitamin digestion and absorption pathway in the pathogenesis of pediatric MMD offers novel insight into disease mechanisms.

Keywords: proteomics, metabolomics, pediatric patients, moyamoya disease, integration analysis