SynthesisAlzheimer's research & therapy2020
Prognosis prediction model for conversion from mild cognitive impairment to Alzheimer's disease created by integrative analysis of multi-omics data.
Synthesis in Alzheimer's research & therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 4 of them syntheses that pooled it.
What it found
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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
47 citing papers in PubMed, 4 syntheses or guidelines pooled it, 75 citations in OpenAlex.
- Barriers and facilitators to participation in electronic health interventions in older adults with cognitive impairment: an umbrella review.BMC geriatrics · 2024Pooled it
- Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application.Molecular neurodegeneration · 2022Pooled it
- Prediction Models for Conversion From Mild Cognitive Impairment to Alzheimer's Disease: A Systematic Review and Meta-Analysis.Frontiers in aging neuroscience · 2022Pooled it
- Systematic Review: microRNAs as Potential Biomarkers in Mild Cognitive Impairment Diagnosis.Frontiers in aging neuroscience · 2021Pooled it
- Feature Selection Analysis and Robustness to Missing Data for Sensor-Based Prognostic Modeling of Alzheimer's Disease Progression.Sensors (Basel, Switzerland) · 2026Article
- HIBMatch: Hypergraph Information Bottleneck for Semi-Supervised Alzheimer's Progression.IEEE journal of biomedical and health informatics · 2026Article
- miRBiT: a rules-based single-sample serum miRNA classifier for pan-cancer detection with multi-cohort validation.Briefings in bioinformatics · 2026Article
- Interpretable machine learning for cognitive impairment assessment: integration of clinical and radiomic white matter hyperintensities features.Journal of translational medicine · 2026Article
- The association of Alzheimer's disease-related SNPs with mild cognitive impairment susceptibility in the Chinese population.Scientific reports · 2026Article
- Lipidomic fingerprints reveal sex-, age-, and disease-dependent differences in the TgF344-AD transgenic rats.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Assessing the accuracy of survival machine learning and traditional statistical models for Alzheimer's disease prediction over time: a study on the ADNI cohort.BMC medical research methodology · 2025Article
- FCGR2B knockdown alleviates diabetes-induced cognitive dysfunction by altering neuronal excitability.Molecular medicine (Cambridge, Mass.) · 2025Article
- Case-control study combined with machine learning techniques to identify key genetic variations in GSK3B that affect susceptibility to diabetic kidney diseases.BMC endocrine disorders · 2025Article
- IGCN: integrative graph convolution networks for patient level insights and biomarker discovery in multi-omics integration.Bioinformatics (Oxford, England) · 2025Article
- Sex-Specific Differential DNA Methylation in Mild Cognitive Impairment and Alzheimer's Disease.bioRxiv : the preprint server for biology · 2025Article
- Hypertension a Predictive Risk Factor on Progression to Alzheimer's Disease Using APOEε4 as a Benchmark.Brain sciences · 2025Article
- Volumetric Changes in Cerebellar Transverse Zones: Age and Sex Effects in Health and Neurological Disorders.Human brain mapping · 2025Article
- Federated learning with multi-cohort real-world data for predicting the progression from mild cognitive impairment to Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Article
- Elucidating the Link Between Anxiety/Depression and Alzheimer's Dementia in the Australian Imaging Biomarkers and Lifestyle (AIBL) Study.Journal of epidemiology and global health · 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
11 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMild cognitive impairment (MCI) is a precursor to Alzheimer's disease (AD), but not all MCI patients develop AD. Biomarkers for early detection of individuals at high risk for MCI-to-AD conversion are urgently required.
methodsWe used blood-based microRNA expression profiles and genomic data of 197 Japanese MCI patients to construct a prognosis prediction model based on a Cox proportional hazard model. We examined the biological significance of our findings with single nucleotide polymorphism-microRNA pairs (miR-eQTLs) by focusing on the target genes of the miRNAs. We investigated functional modules from the target genes with the occurrence of hub genes though a large-scale protein-protein interaction network analysis. We further examined the expression of the genes in 610 blood samples (271 ADs, 248 MCIs, and 91 cognitively normal elderly subjects [CNs]).
resultsThe final prediction model, composed of 24 miR-eQTLs and three clinical factors (age, sex, and APOE4 alleles), successfully classified MCI patients into low and high risk of MCI-to-AD conversion (log-rank test P = 3.44 × 10
conclusionsOur proposed model was demonstrated to be effective in MCI-to-AD conversion prediction. A network-based meta-analysis of miR-eQTL target genes identified important hub genes associated with AD pathogenesis. Accurate prediction of MCI-to-AD conversion would enable earlier intervention for MCI patients at high risk, potentially reducing conversion to AD.
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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 Socratic graph.