Evidence map›Paper›PMID 22815752›Full record

ArticlePloS one2012

Concerted perturbation observed in a hub network in Alzheimer's disease.

Dapeng Liang, Guangchun Han, Xuemei Feng, Jiya Sun, Yong Duan, Hongxing Lei

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 4 pooled it
4.0field-weighted citation impact, top 5% of its field
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

39 citing papers in PubMed, 4 syntheses or guidelines pooled it, 113 citations in OpenAlex.

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  11. NetMix: A Network-Structured Mixture Model for Reduced-Bias Estimation of Altered Subnetworks.Journal of computational biology : a journal of computational molecular cell biology · 2021
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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

6 authors at 4 institutions in 2 countries.

Dapeng LiangCAS key laboratory of genome sciences and information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Guangchun Han
Xuemei Feng
Jiya Sun
Yong Duan
Hongxing Lei
Beijing Institute of Genomics · CNUniversity of California, Davis · USChinese Academy of Sciences · CNUniversity of Chinese Academy of Sciences · CN

Funding

AMBER force field consortium: a coherent biomolecular simulation platformR01GM079383 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CIEPLAK, PIOTR, DUAN, YONG · 2007 to 2017
$4.7M
Toward experimental quality protein structures: a synergistic approachR01GM067168 · NIGMS · UNIVERSITY OF DELAWARE · PI DUAN, YONG, ZHOU, YAOQI · 2003 to 2012
$2.4M
NIGMS NIH HHS GM67168NIGMS NIH HHS GM79383NIGMS NIH HHS R01 GM067168NIGMS NIH HHS R01 GM079383
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disease involving the alteration of gene expression at the whole genome level. Genome-wide transcriptional profiling of AD has been conducted by many groups on several relevant brain regions. However, identifying the most critical dys-regulated genes has been challenging. In this work, we addressed this issue by deriving critical genes from perturbed subnetworks. Using a recent microarray dataset on six brain regions, we applied a heaviest induced subgraph algorithm with a modular scoring function to reveal the significantly perturbed subnetwork in each brain region. These perturbed subnetworks were found to be significantly overlapped with each other. Furthermore, the hub genes from these perturbed subnetworks formed a connected hub network consisting of 136 genes. Comparison between AD and several related diseases demonstrated that the hub network was robustly and specifically perturbed in AD. In addition, strong correlation between the expression level of these hub genes and indicators of AD severity suggested that this hub network can partially reflect AD progression. More importantly, this hub network reflected the adaptation of neurons to the AD-specific microenvironment through a variety of adjustments, including reduction of neuronal and synaptic activities and alteration of survival signaling. Therefore, it is potentially useful for the development of biomarkers and network medicine for AD.

Indexed as

TranscriptomeAgingAlzheimer DiseaseBiomarkersBrainDisease ProgressionDrug DiscoveryGenetic Predisposition to DiseaseHumansMaleNerve NetNeurofibrillary TanglesPlaque, AmyloidBiomarkers

Identifiers

PMID22815752
PMCPMC3398025
OpenAlexW2023148493

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.