Discover Community Create You

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

Systematic Analysis and Biomarker Study for Alzheimer’s Disease

20 Nov 2018

Abstract excerpt

Revealing the relationship between dysfunctional genes in blood and brain tissues from patients with Alzheimer's Disease (AD) will help us to understand the pathology of this disease. In this study, we conducted the first such large systematic analysis to identify differentially expressed genes (DEGs) in blood samples from 245 AD cases, 143 mild cognitive impairment (MCI) cases, and 182 healthy control subjects,...

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 Bioinformatics and Genomic Networks
Share to GDF15 and Related Biomarkers

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 30478411
DOI: 10.1038/s41598-018-35789-3

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Systematic Analysis and Biomarker Study for Alzheimer’s DiseasePMID 30478411Read ↗

Identification of common molecular biomarker signatures in blood and brain of Alzheimer’s diseaseSemantic proximity Read ↗

Identification of novel risk genes for Alzheimer's disease by integrating genetics from hippocampus.Semantic proximity Read ↗

Mitochondrial dysfunction gene expression, DNA methylation, and inflammatory cytokines interaction activate Alzheimer’s disease: a multi-omics Mendelian randomization studySemantic proximity Read ↗

Bioinformatics insights into mitochondrial and immune gene regulation in Alzheimer's diseaseSemantic proximity Read ↗

Identification of dysregulated genes and pathways of different brain regions in Alzheimer’s diseaseSemantic proximity Read ↗

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

Integrated genomic approaches identify major pathways and upstream regulators in late onset Alzheimer’s diseaseSemantic proximity Read ↗

Differentially expressed genes in Alzheimer’s disease highlighting the roles of microglia genes including OLR1 and astrocyte gene CDK2AP1Semantic proximity Read ↗

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

Prediction of Alzheimer’s disease using blood gene expression dataSemantic proximity Read ↗

Blood-based transcriptomic biomarkers are predictive of neurodegeneration rather than Alzheimer’s diseaseSemantic proximity Read ↗

Deep post-GWAS analysis identifies potential risk genes and risk variants for Alzheimer's disease, providing new insights into its disease mechanisms.Semantic proximity Read ↗

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