AI Article Synopsis

  • - Multiple system atrophy (MSA) is a rapid neurodegenerative disorder with no widely accepted biomarkers, unlike Parkinson's disease (PD), making it difficult to diagnose and differentiate between them.
  • - The study measured plasma levels of pyruvate and lactate and found significant differences in these metabolites between MSA, PD, and healthy controls, highlighting that pyruvate levels behave differently in these conditions.
  • - Machine-learning models showed that combining pyruvate with tea/coffee metabolites effectively diagnosed MSA and PD, suggesting that lifestyle factors may influence disease risk and metabolic profiles.

Article Abstract

Introduction: Multiple system atrophy (MSA) is a rapidly progressing neurodegenerative disorder. Although diverse biomarkers have been established for Parkinson's disease (PD), no widely accepted markers have been identified in MSA. Pyruvate and lactate are the end-product of glycolysis and crucial for brain metabolism. However, their correlation with MSA remains unclear. Moreover, it is elusive how lifestyles modify these metabolites.

Methods: To investigate the correlation and diagnostic value of plasma pyruvate and lactate levels in MSA and PD. Moreover, we explored how lifestyle-related metabolites interact with these metabolites in determining the disease risk. We assayed the 3 metabolites in pyruvate/lactate and 6 in the tea/coffee metabolic pathways by targeted mass spectrometry and evaluate their interactions and performance in diagnosis and differentiation between MSA and PD.

Results: We found that 7 metabolites were significantly different between MSA, PD and healthy controls (HCs). Particularly, pyruvate was increased in PD while significantly decreased in MSA patients. Moreover, the tea/coffee metabolites were negatively associated with the pyruvate level in HCs, but not in MSA and PD patients. Using machine-learning models, we showed that the combination of pyruvate and tea/coffee metabolites diagnosed MSA (AUC = 0.878) and PD (AUC = 0.833) with good performance. Additionally, pyruvate had good performance in distinguishing MSA from PD (AUC = 0.860), and the differentiation increased (AUC = 0.922) when combined with theanine and 1,3-dimethyluric acid.

Conclusions: This study demonstrates that pyruvate correlates reversely with MSA and PD, and may play distinct roles in their pathogenesis, which can be modified by lifestyle-related tea/coffee metabolites.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10906427PMC
http://dx.doi.org/10.1016/j.heliyon.2024.e26588DOI Listing

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