Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of Autophagy-Related Biomarkers and Diagnostic Model in Alzheimer’s Disease

5 Aug 2024

Abstract excerpt

Alzheimer’s disease (AD) is the most prevalent neurodegenerative disease. Its accurate pathogenic mechanisms are incompletely clarified, and effective therapeutic treatments are still inadequate. Autophagy is closely associated with AD and plays multiple roles in eliminating harmful aggregated proteins and maintaining cell homeostasis. This study identified 1191 differentially expressed genes (DEGs) based on the...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Alzheimer's disease research and treatments
Share to Autophagy in Disease and Therapy
Share to Tryptophan and brain disorders

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 39202387
DOI: 10.3390/genes15081027

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of Autophagy-Related Biomarkers and Diagnostic Model in Alzheimer’s DiseasePMID 39202387Read ↗

A Diagnostic Model for Alzheimer’s Disease Based on Blood Levels of Autophagy-Related GenesSemantic proximity Read ↗

Construction and evaluation of Alzheimer’s disease diagnostic prediction model based on genes involved in mitophagySemantic proximity Read ↗

Deciphering lysosomal autophagy-linked differential gene signatures in Alzheimer’s disease: Multicohort bioinformatics analysis leveraging Gene Expression Omnibus datasetsSemantic proximity Read ↗

A Study on Autophagy Related Biomarkers in Alzheimer’s Disease Based on BioinformaticsSemantic proximity Read ↗

Identification of mitochondrial-related genes as potential biomarkers for the subtyping and prediction of Alzheimer’s diseaseSemantic proximity Read ↗

Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in Alzheimer’s diseaseSemantic proximity Read ↗

Identification of the Hub Genes in Alzheimer’s DiseaseSemantic proximity Read ↗

Bioinformatics and machine learning-based screening of key genes in Alzheimer's disease.Semantic proximity Read ↗

Integrative analysis reveals key lysosomal genes as potential therapeutic targets in Alzheimer’s diseaseSemantic proximity Read ↗

Hub Genes, Diagnostic Model, and Predicted Drugs Related to Iron Metabolism in Alzheimer's DiseaseSemantic proximity Read ↗

Identification and validation of oxidative stress and immune-related hub genes in Alzheimer’s disease through bioinformatics analysisSemantic proximity Read ↗

A review and analysis of key biomarkers in Alzheimer’s diseaseSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.