Non‐Invasive Diagnosis of Moyamoya Disease Using Serum Metabolic Fingerprints and Machine Learning
Moyamoya disease (MMD) is a progressive cerebrovascular disorder that increases the risk of intracranial ischemia and hemorrhage. Timely diagnosis and intervention can significantly reduce the risk of new-onset stroke in patients with MMD. However, the current diagnostic methods are invasive and expensive, and non-invasive diagnosis using biomarkers of MMD is rarely reported. To address this issue, nanoparticle-enhanced laser desorption/ionization mass spectrometry (LDI MS) was employed to record serum metabolic fingerprints (SMFs) with the aim of establishing a non-invasive diagnosis method for MMD. Subsequently, a diagnostic model was developed based on deep learning algorithms, which exhibited high accuracy in differentiating the MMD group from the HC group (AUC = 0.958, 95% CI of 0.911 to 1.000). Additionally, hierarchical clustering analysis revealed a significant association between SMFs across different groups and vascular cognitive impairment in MMD. This approach holds promise as a novel and intuitive diagnostic method for MMD. Furthermore, the study may have broader implications for the diagnosis of other neurological disorders.
Authors
- Chenhuan Ding (ORCID: https://orcid.org/0000-0003-2534-8946)
- He Li (ORCID: https://orcid.org/0000-0003-3993-7928)
- Linlin Cao (ORCID: https://orcid.org/0000-0002-8667-1571)
- Yuxiang Gu (ORCID: https://orcid.org/0000-0002-4580-2205)
- Ruiyuan Weng
- Yudian Xu (ORCID: https://orcid.org/0000-0002-6696-7885)
- Meng Zhang (ORCID: https://orcid.org/0000-0003-1428-4481)
- Wei Ni (ORCID: https://orcid.org/0000-0002-9550-3430)
- Jun Pu (ORCID: https://orcid.org/0000-0003-2240-5108)
- Kun Qian (ORCID: https://orcid.org/0000-0003-1666-1965)
- Heng Yang (ORCID: https://orcid.org/0009-0008-0413-4133)
- Jiabin Su (ORCID: https://orcid.org/0000-0003-2245-0582)
- Wei Lin Xu (ORCID: https://orcid.org/0000-0001-8241-9769)
- Jiheng Hao
- Xinjie Gao
Institutions
- Fujian Medical University (CN)
- Shanghai Jiao Tong University (CN)
- Fudan University (CN)
- Renji Hospital (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
- State Key Laboratory of Oncogene and Related Genes (CN)
- Huashan Hospital (CN)
- Liaocheng People's Hospital (CN)
Publication Details
- Journal
- Advanced Science
- Published
- 2024-12-31
- DOI
- https://doi.org/10.1002/advs.202405580
- Citations
- 11
- Primary Topic
- Moyamoya disease diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 5.17
Funders
- National Natural Science Foundation of China
- Shanghai Municipal Education Commission
- Department of Science and Technology of Sichuan Province
- Shanghai Jiao Tong University
- Peking Union Medical College Hospital
- National Science and Technology Major Project