ArticleJournal of Alzheimer's disease : JAD2023
Machine Learning Selection of Most Predictive Brain Proteins Suggests Role of Sugar Metabolism in Alzheimer's Disease.
Article in Journal of Alzheimer's disease : JAD, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 31 citations in OpenAlex.
- Differential DNA methylation in blood as potential mediator of the association between ambient PMMolecular psychiatry · 2026Article
- Isoform Remodeling and Promoter Switching Identify Altered Transcriptional Regulation in Alzheimer's Disease Frontal Cortex.Research square · 2026Article
- Multi-platform integration of brain and CSF proteomes reveals biomarker panels for Alzheimer's disease.Briefings in bioinformatics · 2026Article
- The Role of Fatty Acid Binding Protein 7 in Neurological Diseases.Molecular neurobiology · 2025Review
- A Neural-Glial Model of the ApoE-SORT1-FABP7 Axis Tied to Sleep Disruption and Alzheimer's Disease Pathophysiology.Biomolecules · 2025Review
- Exploring novel blood-based DNA methylation biomarkers for alzheimer's disease via targeted sequencing of highly variable CpG sites.BMC research notes · 2025Article
- Are Hippocampal Hypoperfusion and ATP Depletion Prime Movers in the Genesis of Alzheimer's Disease? A Review of Recent Pertinent Observations from Molecular Biology.International journal of molecular sciences · 2025Review
- Machine-learning based strategy identifies a robust protein biomarker panel for Alzheimer's disease in cerebrospinal fluid.Alzheimer's research & therapy · 2025Article
- Interrogating the plasma proteome of repetitive head impact exposure and chronic traumatic encephalopathy.Molecular neurodegeneration · 2025Article
- Comprehensive Anatomical Staging Predicts Clinical Progression in Mild Cognitive Impairment: A Data-Driven Approach.International journal of molecular sciences · 2025Article
- Effective integration of multi-omics with prior knowledge to identify biomarkers via explainable graph neural networks.NPJ systems biology and applications · 2025Article
- Network Diffusion-Constrained Variational Generative Models for Investigating the Molecular Dynamics of Brain Connectomes Under Neurodegeneration.International journal of molecular sciences · 2025Article
- Molecular pathogenesis of Alzheimer's disease onset in a mouse model: effects of cannabidiol treatment.Frontiers in neuroscience · 2025Article
- Stratifying risk of Alzheimer's disease in healthy middle-aged individuals with machine learning.Brain communications · 2025Article
- Artificial Intelligence-Assisted Comparative Analysis of the Overlapping Molecular Pathophysiology of Alzheimer's Disease, Amyotrophic Lateral Sclerosis, and Frontotemporal Dementia.International journal of molecular sciences · 2024Article
- Article
- Mammalian START-like phosphatidylinositol transfer proteins - Physiological perspectives and roles in cancer biology.Biochimica et biophysica acta. Molecular and cell biology of lipids · 2024Review
- Enhanced microglial dynamics and a paucity of tau seeding in the amyloid plaque microenvironment contribute to cognitive resilience in Alzheimer's disease.Acta neuropathologica · 2024Article
- From Classical to Alternative Pathways of 2-Arachidonoylglycerol Synthesis: AlterAGs at the Crossroad of Endocannabinoid and Lysophospholipid Signaling.Molecules (Basel, Switzerland) · 2024Review
- s-SuStaIn: Scaling subtype and stage inference via simultaneous clustering of subjects and biomarkers.Proceedings of machine learning research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe complex and not yet fully understood etiology of Alzheimer's disease (AD) shows important proteopathic signs which are unlikely to be linked to a single protein. However, protein subsets from deep proteomic datasets can be useful in stratifying patient risk, identifying stage dependent disease markers, and suggesting possible disease mechanisms.
objectiveThe objective was to identify protein subsets that best classify subjects into control, asymptomatic Alzheimer's disease (AsymAD), and AD.
methodsData comprised 6 cohorts; 620 subjects; 3,334 proteins. Brain tissue-derived predictive protein subsets for classifying AD, AsymAD, or control were identified and validated with label-free quantification and machine learning.
resultsA 29-protein subset accurately classified AD (AUC = 0.94). However, an 88-protein subset best predicted AsymAD (AUC = 0.92) or Control (AUC = 0.92) from AD (AUC = 0.98). AD versus Control: APP, DHX15, NRXN1, PBXIP1, RABEP1, STOM, and VGF. AD versus AsymAD: ALDH1A1, BDH2, C4A, FABP7, GABBR2, GNAI3, PBXIP1, and PRKAR1B. AsymAD versus Control: APP, C4A, DMXL1, EXOC2, PITPNB, RABEP1, and VGF. Additional predictors: DNAJA3, PTBP2, SLC30A9, VAT1L, CROCC, PNP, SNCB, ENPP6, HAPLN2, PSMD4, and CMAS.
conclusionBiomarkers were dynamically separable across disease stages. Predictive proteins were significantly enriched to sugar metabolism.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.