Evidence map›Paper›PMID 26082458›Full record

ArticleAmerican journal of Alzheimer's disease and other dementias2016

Identification of Biomarkers Associated With Alzheimer's Disease by Bioinformatics Analysis.

Yanxin Zhao, Wei Tan, Wenhua Sheng, Xiaohong Li

Abstract read
In one paragraph

Article in American journal of Alzheimer's disease and other dementias, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yanxin ZhaoDepartment of Neurology, Jinan Central Hospital affiliated to Shandong University, Jinan, Shandong Province, China.
Wei TanDepartment of General Surgery, Jinan Central Hospital affiliated to Shandong University, Jinan, Shandong Province, China.
Wenhua ShengDepartment of Neurology, Jinan Central Hospital affiliated to Shandong University, Jinan, Shandong Province, China.
Xiaohong LiDepartment of Neurology, Jinan Central Hospital affiliated to Shandong University, Jinan, Shandong Province, China xiaohonglixhl@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to explore the biomarkers of Alzheimer's disease (AD).

methodsThe microarray data of GSE16759 were from the expression profile samples of 4 parietal lobe tissues from patients with AD and 4 ones from age-matched control participants. The differentially expressed micro RNAs (miRNAs) and genes (DEGs) underwent hierarchical clustering and function analysis followed by target genes prediction. Finally, DEGs were mapped to the target genes to construct miRNA-regulated networks.

resultsA total of 427 DEGs were obtained and clustered into 5 functions. After DEGs were mapped to the predicted target genes, 313 regulatory pairs were established. The target genes SEC22 vesicle trafficking protein homolog B (SEC22B) and SEC63 homolog (SEC63) regulated by miRNA-206, RAB10, member RAS oncogene family (RAB10) regulated by miRNA-655, and fms-related tyrosine kinase 1 (FLT1) regulated by miRNA-30e-3p and miRNA-369-3p were involved in the biological processes of protein transport and regulation of cell motion.

conclusionThe target genes SEC22B, RAB10, and FLT1 may be potential biomarkers of AD.

Indexed as

BiomarkersAlzheimer DiseaseComputational BiologyGene Regulatory NetworksGenetic MarkersHumansMembrane ProteinsMicroRNAsMolecular ChaperonesParietal Loberab GTP-Binding ProteinsRNA-Binding ProteinsR-SNARE ProteinsBiomarkersGenetic MarkersMembrane ProteinsMicroRNAsMolecular ChaperonesRab10 protein, humanrab GTP-Binding ProteinsRNA-Binding ProteinsR-SNARE ProteinsSec22B protein, humanSEC63 protein, humanAlzheimer’s diseasedifferentially expressed genesfunctional clustermicro RNAregulatory networktarget genes

Identifiers

PMID26082458
PMCPMC10852637

What OpenQuestion holds

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Registered trials

None linked

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.