ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2017
Blood-based metabolic signatures in Alzheimer's disease.
Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 3 of them syntheses that pooled it.
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Who cites it
55 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Kynurenine pathway dysregulation in cognitive impairment and dementia: a systematic review and meta-analysis.GeroScience · 2026Pooled it
- Glutamatergic and GABAergic metabolite levels in Alzheimer's disease: a systematic review and meta-analysis.BMC neurology · 2025Pooled it
- Lipids as Early and Minimally Invasive Biomarkers for Alzheimer's Disease.Current neuropharmacology · 2022Pooled it
- Mapping Conscience: Network Analysis Into the Differences in Maturation of Offending and Non-Offending Adolescents.International journal of offender therapy and comparative criminology · 2026Article
- Joint modeling of high-dimensional longitudinal data and survival using supervised low-rank tensor decomposition.Biostatistics (Oxford, England) · 2026Article
- Roles of Reactive Oxygen Species in Relationships Between Viral Infections and Alzheimer's Disease and Related Dementia.Antioxidants (Basel, Switzerland) · 2026Review
- Distinct cerebrospinal fluid proteomic signatures define clinicopathological subtypes of sporadic Creutzfeldt-Jakob disease and predict patient survival.Acta neuropathologica communications · 2025Article
- A seven-year longitudinal study of the Alzheimer's disease blood metabolome.medRxiv : the preprint server for health sciences · 2025Article
- Alzheimer's disease polygenic risk's association with all-cause dementia through the plasma metabolome in the UK Biobank study.GeroScience · 2025Article
- Integrative analysis of cerebrospinal fluid biomarkers, metabolomics, and polygenic risk reveals novel metabolite associations with Alzheimer's disease.Journal of Alzheimer's disease : JAD · 2025Article
- Development of LC-MS/MS Database Based on 250 Potentially Highly Neuroactive Compounds and Their Metabolites.Metabolites · 2025Article
- Large-scale CSF proteome profiling identifies biomarkers for accurate diagnosis of frontotemporal dementia.Molecular neurodegeneration · 2025Article
- Correlations of blood and brain NMR metabolomics with Alzheimer's disease mouse models.Translational psychiatry · 2025Article
- Studying Alzheimer's disease through an integrative serum metabolomic and lipoproteomic approach.Journal of translational medicine · 2025Article
- The early diagnosis of Alzheimer's disease: Blood-based panel biomarker discovery by proteomics and metabolomics.CNS neuroscience & therapeutics · 2024Review
- Association of oxidative stress and inflammatory metabolites with Alzheimer's disease cerebrospinal fluid biomarkers in mild cognitive impairment.Alzheimer's research & therapy · 2024Article
- CSF amino acid profiles in ICV-streptozotocin-induced sporadic Alzheimer's disease in male Wistar rat: a metabolomics and systems biology perspective.FEBS open bio · 2024Article
- The Influence of Kynurenine Metabolites on Neurodegenerative Pathologies.International journal of molecular sciences · 2024Review
- Mendelian Randomization of Blood Metabolites Suggests Circulating Glutamine Protects Against Late-Onset Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2024Article
- Algorithmic Fairness of Machine Learning Models for Alzheimer Disease Progression.JAMA network open · 2023Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIdentification of blood-based metabolic changes might provide early and easy-to-obtain biomarkers.
methodsWe included 127 Alzheimer's disease (AD) patients and 121 control subjects with cerebrospinal fluid biomarker-confirmed diagnosis (cutoff tau/amyloid β peptide 42: 0.52). Mass spectrometry platforms determined the concentrations of 53 amine compounds, 22 organic acid compounds, 120 lipid compounds, and 40 oxidative stress compounds. Multiple signatures were assessed: differential expression (nested linear models), classification (logistic regression), and regulatory (network extraction).
resultsTwenty-six metabolites were differentially expressed. Metabolites improved the classification performance of clinical variables from 74% to 79%. Network models identified five hubs of metabolic dysregulation: tyrosine, glycylglycine, glutamine, lysophosphatic acid C18:2, and platelet-activating factor C16:0. The metabolite network for apolipoprotein E ( DISCUSSION: Multiple signatures point to various promising peripheral markers for further validation. The network differences in AD patients according to
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