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DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data
Published on: December 15, 2023
Metabolome in progression to Alzheimer's disease
M Orešič1, T Hyötyläinen, S-K Herukka
1VTT Technical Research Centre of Finland, Espoo, Finland. matej.oresic@vtt.fi
Abstract:
Mild cognitive impairment (MCI) is considered as a transition phase between normal aging and Alzheimer's disease (AD). MCI confers an increased risk of developing AD, although the state is heterogeneous with several possible outcomes, including even improvement back to normal cognition. We sought to determine the serum metabolomic profiles associated with progression to and diagnosis of AD in a prospective study. At the baseline assessment, the subjects enrolled in the study were classified into three diagnostic groups: healthy controls (n=46), MCI (n=143) and AD (n=47). Among the MCI subjects, 52 progressed to AD in the follow-up. Comprehensive metabolomics approach was applied to analyze baseline serum samples and to associate the metabolite profiles with the diagnosis at baseline and in the follow-up. At baseline, AD patients were characterized by diminished ether phospholipids, phosphatidylcholines, sphingomyelins and sterols. A molecular signature comprising three metabolites was identified, which was predictive of progression to AD in the follow-up. The major contributor to the predictive model was 2,4-dihydroxybutanoic acid, which was upregulated in AD progressors (P=0.0048), indicating potential involvement of hypoxia in the early AD pathogenesis. This was supported by the pathway analysis of metabolomics data, which identified upregulation of pentose phosphate pathway in patients who later progressed to AD. Together, our findings primarily implicate hypoxia, oxidative stress, as well as membrane lipid remodeling in progression to AD. Establishment of pathogenic relevance of predictive biomarkers such as ours may not only facilitate early diagnosis, but may also help identify new therapeutic avenues.
Insights
Serum metabolomics identified a signature predicting Alzheimer's disease (AD) progression. Upregulated 2,4-dihydroxybutanoic acid suggests hypoxia in early AD, implicating oxidative stress and lipid changes.
Area of Science:
- Neuroscience
- Biochemistry
- Gerontology
Background:
- Mild cognitive impairment (MCI) is a transitional stage between normal aging and Alzheimer's disease (AD).
- MCI is heterogeneous, with variable outcomes including potential improvement or progression to AD.
- Early identification of individuals at risk for AD progression is crucial for timely intervention.
Purpose of the Study:
- To identify serum metabolomic profiles associated with the diagnosis and progression of AD.
- To discover predictive biomarkers for AD development in individuals with MCI.
Main Methods:
- A prospective study analyzing serum samples from healthy controls, MCI patients, and AD patients.
- Comprehensive metabolomics was employed to profile metabolites at baseline.
- Statistical analysis correlated metabolite profiles with baseline diagnosis and follow-up progression to AD.
Main Results:
- AD patients at baseline showed reduced levels of ether phospholipids, phosphatidylcholines, sphingomyelins, and sterols.
- A three-metabolite signature predicted progression from MCI to AD.
- Elevated 2,4-dihydroxybutanoic acid was a key predictor of AD progression, suggesting hypoxia.
- Upregulation of the pentose phosphate pathway was observed in individuals who progressed to AD.
Conclusions:
- Serum metabolomics can identify individuals with MCI who are likely to progress to AD.
- Hypoxia, oxidative stress, and alterations in membrane lipid metabolism are implicated in AD pathogenesis.
- The identified biomarkers may aid in early AD diagnosis and the development of novel therapeutic strategies.
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