Evidence map›Paper›PMID 26058837›Full record

ArticlePhysiological genomics2015

PADPIN: protein-protein interaction networks of angiogenesis, arteriogenesis, and inflammation in peripheral arterial disease.

Liang-Hui Chu, Chaitanya G Vijay, Brian H Annex, Joel S Bader, Aleksander S Popel

Abstract read
In one paragraph

Article in Physiological genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Thrombospondin-1 in maladaptive aging responses: a concept whose time has come.American journal of physiology. Cell physiology · 2020
    Review
  6. Strain-Dependent Variation in Acute Ischemic Muscle Injury.The American journal of pathology · 2018
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
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

5 authors at 3 institutions in 1 country.

Liang-Hui ChuDepartment of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland; chulianghui@gmail.com.
Chaitanya G VijayCardiovascular Medicine, Department of Medicine, and the Robert M. Berne Cardiovascular Research Center University of Virginia School of Medicine, Charlottesville, Virginia; and.
Brian H AnnexCardiovascular Medicine, Department of Medicine, and the Robert M. Berne Cardiovascular Research Center University of Virginia School of Medicine, Charlottesville, Virginia; and.
Joel S BaderDepartment of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland; High-Throughput Biology Center, Johns Hopkins University, Baltimore, Maryland.
Aleksander S PopelDepartment of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland;
Johns Hopkins Medicine · USUniversity of Virginia · USHigh Throughput Biology (United States) · US

Funding

Systems Biology of Angiogenesis in Peripheral Arterial DiseaseR01HL101200 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POPEL, ALEKSANDER S. · 2010 to 2022
$10.7M
Predictive experiment-based multiscale models of the tumor immune microenvironment and immunotherapy in breast cancerR01CA138264 · NCI · JOHNS HOPKINS UNIVERSITY · PI POPEL, ALEKSANDER S. · 2009 to 2023
$8.1M
Bioinformatic analysis of molecular networks in peripheral artery diseaseR21HL122721 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POPEL, ALEKSANDER S. · 2014 to 2015
$455k
NCI NIH HHS R01 CA138264NHLBI NIH HHS HL-101200NHLBI NIH HHS R01 HL101200NHLBI NIH HHS R21 HL-122721NHLBI NIH HHS R21 HL122721
6 · The paper itself

Abstract

Peripheral arterial disease (PAD) results from an obstruction of blood flow in the arteries other than the heart, most commonly the arteries that supply the legs. The complexity of the known signaling pathways involved in PAD, including various growth factor pathways and their cross talks, suggests that analyses of high-throughput experimental data could lead to a new level of understanding of the disease as well as novel and heretofore unanticipated potential targets. Such bioinformatic analyses have not been systematically performed for PAD. We constructed global protein-protein interaction networks of angiogenesis (Angiome), immune response (Immunome), and arteriogenesis (Arteriome) using our previously developed algorithm GeneHits. The term "PADPIN" refers to the angiome, immunome, and arteriome in PAD. Here we analyze four microarray gene expression datasets from ischemic and nonischemic gastrocnemius muscles at day 3 posthindlimb ischemia (HLI) in two genetically different C57BL/6 and BALB/c mouse strains that display differential susceptibility to HLI to identify potential targets and signaling pathways in angiogenesis, immune, and arteriogenesis networks. We hypothesize that identification of the differentially expressed genes in ischemic and nonischemic muscles between the strains that recovers better (C57BL/6) vs. the strain that recovers more poorly (BALB/c) will help for the prediction of target genes in PAD. Our bioinformatics analysis identified several genes that are differentially expressed between the two mouse strains with known functions in PAD including TLR4, THBS1, and PRKAA2 and several genes with unknown functions in PAD including EphA4, TSPAN7, SLC22A4, and EIF2a.

Indexed as

Protein Interaction MapsSoftwareAnimalsArteriesBlotting, WesternCell DeathDatabases, GeneticDisease Models, AnimalDown-RegulationGene Expression ProfilingHindlimbInflammationIschemiaMaleMice, Inbred BALB CMice, Inbred C57BLangiogenesisbioinformaticsmicroarraysystems biologythrombospondin 1

Identifiers

PMID26058837
PMCPMC4525078
OpenAlexW2192939140

What OpenQuestion holds

Textmetadata
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.