Evidence map›Paper›PMID 22806142›Full record

ArticleMolecular systems biology2012

Systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers.

I-Ming Wang, Bin Zhang, Xia Yang, Jun Zhu, Serguei Stepaniants, Chunsheng Zhang, Qingying Meng, Mette Peters, Yudong He, Chester Ni and 17 more

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 3% 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

97 citing papers in PubMed, 1 synthesis or guideline pooled it, 136 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Microglial INPP5D limits plaque formation and glial reactivity in the PSAPP mouse model of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
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  16. Integrative metabolomics-genomics approach reveals key metabolic pathways and regulators of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2022
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  17. Review
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  20. A Bioinformatics Study of Differentially Expressed Genes in Microarrays of Dorsal Root Ganglia from Rat Models of Neuropathic Pain.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Article

37 more citing papers are in PubMed but not listed here.

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

27 authors at 11 institutions in 1 country.

I-Ming WangInformatics and Analysis, Merck Research Laboratories, Merck & Co., Inc., West Point, PA 19486, USA. i_ming_wang@merck.com
Bin Zhang
Xia Yang
Jun Zhu
Serguei Stepaniants
Chunsheng Zhang
Qingying Meng
Mette Peters
Yudong He
Chester Ni
Deborah Slipetz
Michael A Crackower
Hani Houshyar
Christopher M Tan
Ernest Asante-Appiah
Gary O'Neill
Mingjuan Jane Luo
Rolf Thieringer
Jeffrey Yuan
Chi-Sung Chiu
Pek Yee Lum
John Lamb
Yves Boie
Hilary A Wilkinson
Eric E Schadt
Hongyue Dai
Christopher Roberts
Merck & Co., Inc., Rahway, NJ, USA (United States) · USIcahn School of Medicine at Mount Sinai · USIntegra (United States) · USSage Bionetworks · USAmgen (United States) · USAyasdi (United States) · USBenaroya Research InstituteBroad Institute · USCovance (United States) · USEli Lilly (United States) · USPfizer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Common inflammatome gene signatures as well as disease-specific signatures were identified by analyzing 12 expression profiling data sets derived from 9 different tissues isolated from 11 rodent inflammatory disease models. The inflammatome signature significantly overlaps with known drug targets and co-expressed gene modules linked to metabolic disorders and cancer. A large proportion of genes in this signature are tightly connected in tissue-specific Bayesian networks (BNs) built from multiple independent mouse and human cohorts. Both the inflammatome signature and the corresponding consensus BNs are highly enriched for immune response-related genes supported as causal for adiposity, adipokine, diabetes, aortic lesion, bone, muscle, and cholesterol traits, suggesting the causal nature of the inflammatome for a variety of diseases. Integration of this inflammatome signature with the BNs uncovered 151 key drivers that appeared to be more biologically important than the non-drivers in terms of their impact on disease phenotypes. The identification of this inflammatome signature, its network architecture, and key drivers not only highlights the shared etiology but also pinpoints potential targets for intervention of various common diseases.

Indexed as

Gene Expression ProfilingAge FactorsAnalysis of VarianceAnimalsBayes TheoremCaspasesChemokinesCohort StudiesComputational BiologyDisease Models, AnimalFemaleGene Regulatory NetworksHumansInflammasomesInterleukinsIntracellular Signaling Peptides and ProteinsCaspasesChemokinesInflammasomesInterleukinsIntracellular Signaling Peptides and Proteins

Identifiers

PMID22806142
PMCPMC3421440
OpenAlexW2120280233

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.