Frontiers in aging neuroscience · 2026
Peripheral metabolomic profiling reveals lipid and amino acid alterations associated with immuno-inflammatory responses in treatment-naïve late-onset Alzheimer's disease.
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Wang Pei-Juan, Yang Xiao-Yu, Ji Lei, Shi Jia-Jia, Cai Xiang-Ming, Sun Peng, Liu He-Xu, Jiang Fei, Yang Fan
Аннотация
BACKGROUND: Immuno-metabolic dysregulation contributes to Alzheimer's disease (AD) pathogenesis, yet the peripheral metabolic landscape and its interplay with neuroinflammation remain poorly characterized in treatment-naïve, late-stage patients. This study aimed to delineate plasma metabolic alterations and immuno-metabolic interactions in Chinese first-time outpatients with late-onset AD (CFTO-LOAD).
METHODS: Untargeted metabolomics and ELISA were applied to plasma from 35 CFTO-LOAD patients and 35 sex-matched cognitively healthy controls (CHCs) to quantify metabolites, cytokines (TNF-α, IL-17, IL-9), and soluble Aβ/Tau markers.
RESULTS: A total of 875 differentially abundant metabolites (DAMs) were identified in CFTO-LOAD, comprising 227 upregulated and 648 downregulated species (P < 0.05), predominantly lipids, fatty acids (e.g., dodecanoic acid, arachidonic acid), and amino acids (e.g., L-arginine, L-leucine). KEGG analysis revealed enrichment in fatty acid and amino acid metabolism, GABAergic synapse, and intestinal immune network pathways. CFTO-LOAD patients exhibited elevated pro-inflammatory cytokines TNF-α and IL-17 (P adj < 0.05), reduced IL-9 (P adj < 0.001), increased soluble p-Tau, p-Tau181, and p-Tau217 (P adj < 0.01), and decreased Aβ42/Aβ40 ratio (P adj < 0.001). Linear regression identified significant correlations between differential metabolites and immune/pathological markers, including positive associations of dodecanoic acid with TNF-α (r = 0.34, P adj < 0.05) and arachidonic acid with Aβ42/Aβ40 ratio (r = 0.30, P adj < 0.05), and negative associations of arachidonic acid with p-Tau217 (r = -0.43, P adj < 0.01) and sphinganine 1-phosphate with TNF-α (r = -0.28, P adj < 0.05).
CONCLUSION: These findings characterize the peripheral immuno-metabolic landscape in treatment-naïve late-onset AD, identifying metabolic mediators that may mechanistically link neuroinflammation to Aβ and Tau pathology. This provides a foundation for biomarker development and therapeutic targeting in late-stage disease, pending independent validation.
METHODS: Untargeted metabolomics and ELISA were applied to plasma from 35 CFTO-LOAD patients and 35 sex-matched cognitively healthy controls (CHCs) to quantify metabolites, cytokines (TNF-α, IL-17, IL-9), and soluble Aβ/Tau markers.
RESULTS: A total of 875 differentially abundant metabolites (DAMs) were identified in CFTO-LOAD, comprising 227 upregulated and 648 downregulated species (P < 0.05), predominantly lipids, fatty acids (e.g., dodecanoic acid, arachidonic acid), and amino acids (e.g., L-arginine, L-leucine). KEGG analysis revealed enrichment in fatty acid and amino acid metabolism, GABAergic synapse, and intestinal immune network pathways. CFTO-LOAD patients exhibited elevated pro-inflammatory cytokines TNF-α and IL-17 (P adj < 0.05), reduced IL-9 (P adj < 0.001), increased soluble p-Tau, p-Tau181, and p-Tau217 (P adj < 0.01), and decreased Aβ42/Aβ40 ratio (P adj < 0.001). Linear regression identified significant correlations between differential metabolites and immune/pathological markers, including positive associations of dodecanoic acid with TNF-α (r = 0.34, P adj < 0.05) and arachidonic acid with Aβ42/Aβ40 ratio (r = 0.30, P adj < 0.05), and negative associations of arachidonic acid with p-Tau217 (r = -0.43, P adj < 0.01) and sphinganine 1-phosphate with TNF-α (r = -0.28, P adj < 0.05).
CONCLUSION: These findings characterize the peripheral immuno-metabolic landscape in treatment-naïve late-onset AD, identifying metabolic mediators that may mechanistically link neuroinflammation to Aβ and Tau pathology. This provides a foundation for biomarker development and therapeutic targeting in late-stage disease, pending independent validation.