SynthesisAging2018
Re-exploring the core genes and modules in the human frontal cortex during chronological aging: insights from network-based analysis of transcriptomic studies.
Synthesis in Aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis 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.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Network-Based Integrated Analysis of Transcriptomic Studies in Dissecting Gene Signatures for LPS-Induced Acute Lung Injury.Inflammation · 2021Pooled it
- Identifying transcriptomic signatures that mediate the causal effect of genotype on Alzheimer's disease.Frontiers in neuroscience · 2026Article
- Discovery of novel butyrylcholinesterase inhibitors for treating Alzheimer's disease.Acta pharmaceutica Sinica. B · 2025Article
- Identification of hub genes associated with cognition in the hippocampus of Alzheimer's Disease.Bioengineered · 2021Article
- A brain proteomic signature of incipient Alzheimer's disease in youngScience advances · 2021Article
- Mutant Presenilin 1 Dysregulates Exosomal Proteome Cargo Produced by Human-Induced Pluripotent Stem Cell Neurons.ACS omega · 2021Article
- Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease.Scientific reports · 2021Article
- Integrated identification of key genes and pathways in Alzheimer's disease via comprehensive bioinformatical analyses.Hereditas · 2019Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Frontal cortical dysfunction is a fundamental pathology contributing to age-associated behavioral and cognitive deficits that predispose older adults to neurodegenerative diseases. It is established that aging increases the risk of frontal cortical dysfunction; however, the underlying molecular mechanism remains elusive. Here, we used an integrative meta-analysis to combine five frontal cortex microarray studies with a combined sample population of 161 younger and 155 older individuals. A network-based analysis was used to describe an outline of human frontal cortical aging to identify core genes whose expression changes with age and to reveal the interrelationships among these genes. We found that
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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 OpenQuestion graph.