Serum Metabolomic Profiles Unveil Biomarkers and Core Metabolic Pathways in Multiple System Atrophy Patients

BACKGROUND: Multiple system atrophy (MSA) is an adult-onset, fatal, neurodegenerative disease lacking mechanistic understanding, early diagnosis, and specific treatments. Metabolomics has been widely used in neurodegenerative diseases for biomarker identification and pathophysiology exploration; however its application in MSA is extremely limited. OBJECTIVES: To investigate the metabolomic landscape, core metabolic pathways, and novel biomarkers for MSA. METHODS: Untargeted metabolomics (ultra-high-performance liquid chromatography-Q-Exactive HF mass spectrometry [UHPLC-QE-MS]) was performed on serum samples from 85 MSA patients and 85 healthy controls (HCs). Candidate metabolites were validated via targeted metabolomics in an internal cohort (37 MSA, 36 HCs) and an external cohort (44 MSA, 44 Parkinson's disease [PD], 42 HCs). In vitro validation was performed using MO3.13 cells and SH-SY5Y cells overexpressing hSNCA. RESULTS: We identified 112 and 70 differential metabolites (DMs) in positive and negative modes, respectively. Pathway analysis revealed six significant pathways, including arginine and proline metabolism; pentose phosphate pathway; valine, leucine, and isoleucine biosynthesis; purine metabolism; arginine biosynthesis; and riboflavin metabolism. A riboflavin-xanthine panel effectively distinguished MSA from HCs (internal validation: [area under the curve [AUC] = 0.876), and this performance was confirmed in the external cohort (AUC = 0.943). Reduced xanthine levels in MSA patients compared with HCs and PD patients slightly enhanced the diagnostic power of neurofilament light chain for MSA-PD differentiation, boosting the AUC from 0.821 to 0.890. Both riboflavin and xanthine supplementation enhanced viability and reduced apoptosis in hSNCA-overexpressing MO3.13 cells, while only riboflavin exerted therapeutic effects in hSNCA-overexpressing SH-SY5Y cells. CONCLUSIONS: This study defined the serum metabolomic signature of MSA and highlighted novel biomarkers, pathological mechanisms, and therapeutic targets deserving further validation. © 2026 International Parkinson and Movement Disorder Society.

Authors

Institutions

Publication Details

Journal
Movement Disorders
Published
2026-09-18
DOI
https://doi.org/10.1002/mds.70541
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Serum Metabolomic Profiles Unveil Biomarkers and Core Metabolic Pathways in Multiple System Atrophy Patients

Tiansheng Chou, Na Wan, Shiping Shen, Hong Jiang et al.
Movement Disorders
Parkinson's Disease Mechanisms and Treatments
article

Serum Metabolomic Profiles Unveil Biomarkers and Core Metabolic Pathways in Multiple System Atrophy Patients

Tiansheng Chou, Na Wan, Shiping Shen, Hong Jiang, Yuyu Chou, Linliu Peng, Daji Chen, Wuping Liu, Beisha Tang, Xiafei Long, Xiao Dong, Kefang Du, Chunrong Wang, Riwei Ouyang, Zhao Chen, Rong Qiu, Yang Xia, Xiaokang Wu, Linlin Wan, Zhe Long
article en

Abstract

BACKGROUND: Multiple system atrophy (MSA) is an adult-onset, fatal, neurodegenerative disease lacking mechanistic understanding, early diagnosis, and specific treatments. Metabolomics has been widely used in neurodegenerative diseases for biomarker identification and pathophysiology exploration; however its application in MSA is extremely limited. OBJECTIVES: To investigate the metabolomic landscape, core metabolic pathways, and novel biomarkers for MSA. METHODS: Untargeted metabolomics (ultra-high-performance liquid chromatography-Q-Exactive HF mass spectrometry [UHPLC-QE-MS]) was performed on serum samples from 85 MSA patients and 85 healthy controls (HCs). Candidate metabolites were validated via targeted metabolomics in an internal cohort (37 MSA, 36 HCs) and an external cohort (44 MSA, 44 Parkinson's disease [PD], 42 HCs). In vitro validation was performed using MO3.13 cells and SH-SY5Y cells overexpressing hSNCA. RESULTS: We identified 112 and 70 differential metabolites (DMs) in positive and negative modes, respectively. Pathway analysis revealed six significant pathways, including arginine and proline metabolism; pentose phosphate pathway; valine, leucine, and isoleucine biosynthesis; purine metabolism; arginine biosynthesis; and riboflavin metabolism. A riboflavin-xanthine panel effectively distinguished MSA from HCs (internal validation: [area under the curve [AUC] = 0.876), and this performance was confirmed in the external cohort (AUC = 0.943). Reduced xanthine levels in MSA patients compared with HCs and PD patients slightly enhanced the diagnostic power of neurofilament light chain for MSA-PD differentiation, boosting the AUC from 0.821 to 0.890. Both riboflavin and xanthine supplementation enhanced viability and reduced apoptosis in hSNCA-overexpressing MO3.13 cells, while only riboflavin exerted therapeutic effects in hSNCA-overexpressing SH-SY5Y cells. CONCLUSIONS: This study defined the serum metabolomic signature of MSA and highlighted novel biomarkers, pathological mechanisms, and therapeutic targets deserving further validation. © 2026 International Parkinson and Movement Disorder Society.

Movement Disorders
Central South University (CN), National Clinical Research (US), Second Xiangya Hospital of Central South University (CN), Xiangya Hospital Central South University (CN)
Good health and well-being
Openalex Percentile: Top 11%
Parkinson's Disease Mechanisms and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.