ArticleFrontiers in aging neuroscience2022
A Diagnostic Model for Alzheimer's Disease Based on Blood Levels of Autophagy-Related Genes.
Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 24 citations in OpenAlex.
- Diagnosis of Alzheimer's disease with high accuracy via Petri net modeling of signaling pathways.Scientific reports · 2026Article
- Plasma chaperone-mediated autophagy associated protein HSPA8 combined with white matter hyperintensities serves as the predictive marker of early-stage Alzheimer's disease.Frontiers in aging neuroscience · 2026Article
- The Role of HIF-1α/BNIP3 Pathway in Hippocampal Neuronal Autophagy in Epilepsy.Molecular neurobiology · 2025Article
- A machine learning model and molecular clusters of epigenetic chromatin regulators in tuberculosis based on bioinformatics and clinical samples.Scientific reports · 2025Article
- Identifying Lactylation-related biomarkers and therapeutic drugs in ulcerative colitis: insights from machine learning and molecular docking.BMC pharmacology & toxicology · 2025Article
- Identification of Autophagy-Related Genes in Patients with Acute Spinal Cord Injury and Analysis of Potential Therapeutic Targets.Molecular neurobiology · 2025Article
- A machine learning model and identification of immune infiltration for chronic obstructive pulmonary disease based on disulfidptosis-related genes.BMC medical genomics · 2025Article
- Development and validation of the prediction model based on autophagy-associated genes in bronchopulmonary dysplasia.Annals of medicine · 2024Article
- Identification of Autophagy-Related Biomarkers and Diagnostic Model in Alzheimer's Disease.Genes · 2024Article
- Identification of novel biomarkers based on lipid metabolism-related molecular subtypes for moderately severe and severe acute pancreatitis.Lipids in health and disease · 2024Article
- Identification of cuproptosis-related gene clusters and immune cell infiltration in major burns based on machine learning models and experimental validation.Frontiers in immunology · 2024Article
- Exploring the pathogenesis, biomarkers, and potential drugs for type 2 diabetes mellitus and acute pancreatitis through a comprehensive bioinformatic analysis.Frontiers in endocrinology · 2024Article
- NDUFA11 may be the disulfidptosis-related biomarker of ischemic stroke based on integrated bioinformatics, clinical samples, and experimental analyses.Frontiers in neuroscience · 2024Article
- A Study on Autophagy Related Biomarkers in Alzheimer's Disease Based on Bioinformatics.Cellular and molecular neurobiology · 2023Article
- Identification of lipid metabolism-related biomarkers for diagnosis and molecular classification of atherosclerosis.Lipids in health and disease · 2023Article
- Article
- Identification of immune infiltration and cuproptosis-related molecular clusters in tuberculosis.Frontiers in immunology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Alzheimer's disease (AD) is a common neurodegenerative disease. The major problems that exist in the diagnosis of AD include the costly examinations and the high-invasive sampling tissue. Therefore, it would be advantageous to develop blood biomarkers. Because AD's pathological process is considered tightly related to autophagy; thus, a diagnostic model for AD based on ATGs may have more predictive accuracy than other models. We obtained GSE63060 dataset from the GEO database, ATGs from the HADb and screened 64 differentially expressed autophagy-related genes (DE-ATGs). We then applied them to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses as well as DisGeNET and PaGenBase enrichment analyses. By using the univariate analysis, least absolute shrinkage and selection operator (LASSO) regression method and the multivariable logistic regression, nine DE-ATGs were identified as biomarkers, which are
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.