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. 2025 Jun 4:16:1608031.
doi: 10.3389/fneur.2025.1608031. eCollection 2025.

Metabolomic profiling uncovers diagnostic biomarkers and dysregulated pathways in Parkinson's disease

Affiliations

Metabolomic profiling uncovers diagnostic biomarkers and dysregulated pathways in Parkinson's disease

Hongfang Chen et al. Front Neurol. .

Abstract

Background: Parkinson's disease (PD) is the second most common neurodegenerative disorder, and it has an unclear pathogenesis and lacks validated, specific biomarker-based diagnostic approaches, particularly in PD patients with rapid eye movement (REM) sleep behavior disorder (PD-RBD).

Methods: Using untargeted liquid chromatography-mass spectrometry (LC-MS) metabolomics, serum profiles of 41 drug-naïve PD patients [including 19 PD-RBD and 22 PD without RBD (PD-nRBD) patients] and 20 healthy controls (HCs) were analyzed.

Results: Comparative analyses revealed 144 dysregulated metabolites in PD patients versus HCs, with 7 metabolites-sodium deoxycholate, S-adenosylmethionine, L-tyrosine, 3-methyl-L-tyrosine, 4,5-dihydroorotic acid, (6Z)-octadecenoic acid, and allantoin-demonstrating high classification accuracy [area under the curve (AUC) > 0.93]. Compared with PD-nPBD patients, PD-RBD patients exhibited distinct metabolic profiles, characterized by 21 differentially expressed metabolites, including suberic acid, 3-methyl-L-tyrosine, and methyl (indol-3-yl) acetate (AUC > 0.86). Notably, 3-methyl-L-tyrosine displayed dual dynamics, reflecting dopaminergic depletion in PD and compensatory metabolic adaptations in PD-RBD. Pathway enrichment analysis implicated central carbon metabolism (CCM) disruption in PD and peroxisome proliferator-activated receptor (PPAR) signaling pathway inactivation in PD-RBD.

Conclusion: These findings reveal potential serum-based biomarkers for PD and PD-RBD, highlight CCM and PPAR pathways as therapeutic targets, and underscore the role of metabolic dysregulation in PD pathophysiology.

Keywords: Parkinson’s disease; REM sleep behavior disorder; biomarkers; metabolic pathway; metabolomics.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Altered metabolic profiles between patients with PD and HCs. (A) OPLS-DA score plot. ESI (+): positive ion mode, R2X = 0.599, R2Y = 0.967, Q2 = 0.927. (B) OPLS-DA score plot. ESI (−): negative ion mode, R2X = 0.115, R2Y = 0.972, Q2 = 0.827. (C) Volcano plot of metabolites in the PD group versus the HC group. Red: upregulated metabolite; Blue: downregulated metabolite; Grey: metabolite not meeting the significance thresholds.
Figure 2
Figure 2
Potential metabolite biomarkers for PD diagnosis. (A-G) Box plots and ROC curves for the serum levels of (A) sodium deoxycholate, (B) S-adenosylmethionine, (C) L-tyrosine, (D) 3-methyl-L-tyrosine, (E) 4,5-dihydroorotic acid, (F) (6Z)-octadecenoic acid, and (G) allantoin for the diagnosis of PD. Data are expressed as the means ± SDs. ***p ≤ 0.001 and ****p ≤ 0.0001.
Figure 3
Figure 3
Altered serum metabolites of PD-RBD compared to PD-nRBD. (A) OPLS-DA score plots. ESI (+): positive ion mode, R2X = 0.564, R2Y = 0.974, Q2 = 0.758. (B) OPLS-DA score plot. ESI (−): negative ion mode, R2X = 0.0938, R2Y = 0.981, Q2 = 0.536. (C) Volcano plot of upregulated (red) and downregulated (blue) metabolites in the PD-RBD group versus the PD-nRBD group. (D) Heatmap of the 102 differential metabolites in the PD-RBD group versus the PD-nRBD group. Red indicates an increased level, and blue indicates a decreased level.
Figure 4
Figure 4
Significantly altered metabolite clusters and potential metabolite biomarkers for PD-RBD. (A) Twenty-one metabolites had VIP > 1 (also with FDR < 0.05), indicating their contribution to the classification in the OPLS-DA score plot. (B–D) Box plots and ROC curves for the serum levels of (B) suberic acid, (C) 3-methyl-L-tyrosine, and (D) methyl (indol-3-yl)acetate for the diagnosis of PD patients with RBD. Data are expressed as the means ± SD. ***p ≤ 0.001 and ****p ≤ 0.0001.
Figure 5
Figure 5
Scatter plot showing the KEGG pathway enrichment analysis results. (A) Pathway analysis of the significantly altered metabolites in the PD group versus the HC group. The red-to-yellow gradient signifies ascending p-values, and the dot size is scaled to show the magnitude per pathway. (B) Pathway analysis of the significantly altered metabolites in the PD-RBD group versus the PD-nRBD group.

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