Evidence map›Paper›PMID 22720046›Full record

ArticlePloS one2012

Temporal network based analysis of cell specific vein graft transcriptome defines key pathways and hub genes in implantation injury.

Manoj Bhasin, Zhen Huang, Leena Pradhan-Nabzdyk, Junaid Y Malek, Philip J LoGerfo, Mauricio Contreras, Patrick Guthrie, Eva Csizmadia, Nicholas Andersen, Olivier Kocher and 2 more

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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

21 citing papers in PubMed, 27 citations in OpenAlex.

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  13. Intraluminal delivery of thrombospondin-2 small interfering RNA inhibits the vascular response to injury in a rat carotid balloon angioplasty model.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2017
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  19. Vein graft failure.Journal of vascular surgery · 2015
    Review
  20. Review
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

12 authors at 3 institutions in 1 country.

Manoj BhasinGenomics and Proteomics Center, Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States of America.
Zhen Huang
Leena Pradhan-Nabzdyk
Junaid Y Malek
Philip J LoGerfo
Mauricio Contreras
Patrick Guthrie
Eva Csizmadia
Nicholas Andersen
Olivier Kocher
Christiane Ferran
Frank W LoGerfo
Beth Israel Deaconess Medical Center · USHarvard University · USCenter for Vascular Biology Research · US

Funding

HARVARD-LONGWOOD RESEARCH TRAINING IN VASCULAR SURGERYT32HL007734 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI FERRAN, CHRISTIANE, LOGERFO, FRANK W · 1993 to 2023
$10.5M
MECHANISMS OF PROSTHETIC ARTERIAL GRAFT FAILURER01HL021796 · NHLBI · NEW ENGLAND DEACONESS HOSPITAL · PI FERRAN, CHRISTIANE, LOGERFO, FRANK W · 1987 to 2020
$9.0M
Genetic Engineering of Vein Bypass Grafts in Vascular and Cardiovascular SurgeryR01HL086741 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI BHASIN, MANOJ, FERRAN, CHRISTIANE · 2007 to 2022
$7.4M
Improved liver function and regeneration with A20R01DK063275 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI FERRAN, CHRISTIANE · 2003 to 2013
$3.7M
Vascular Remodeling in Transplant ArteriosclerosisR01HL080130 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI FERRAN, CHRISTIANE · 2006 to 2009
$1.7M
Improved liver function and regeneration with A20R56DK063275 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI FERRAN, CHRISTIANE · 2008 to 2008
$327k
NHLBI NIH HHS 5T32HL007734NHLBI NIH HHS NIH 1R01HL086741NHLBI NIH HHS NIH R01HL080130NHLBI NIH HHS R01 HL021796NHLBI NIH HHS R01 HL080130NHLBI NIH HHS R01 HL086741NHLBI NIH HHS T32 HL007734NIDDK NIH HHS DK063275NIDDK NIH HHS R01 DK063275NIDDK NIH HHS R56 DK063275
6 · The paper itself

Abstract

Vein graft failure occurs between 1 and 6 months after implantation due to obstructive intimal hyperplasia, related in part to implantation injury. The cell-specific and temporal response of the transcriptome to vein graft implantation injury was determined by transcriptional profiling of laser capture microdissected endothelial cells (EC) and medial smooth muscle cells (SMC) from canine vein grafts, 2 hours (H) to 30 days (D) following surgery. Our results demonstrate a robust genomic response beginning at 2 H, peaking at 12-24 H, declining by 7 D, and resolving by 30 D. Gene ontology and pathway analyses of differentially expressed genes indicated that implantation injury affects inflammatory and immune responses, apoptosis, mitosis, and extracellular matrix reorganization in both cell types. Through backpropagation an integrated network was built, starting with genes differentially expressed at 30 D, followed by adding upstream interactive genes from each prior time-point. This identified significant enrichment of IL-6, IL-8, NF-κB, dendritic cell maturation, glucocorticoid receptor, and Triggering Receptor Expressed on Myeloid Cells (TREM-1) signaling, as well as PPARα activation pathways in graft EC and SMC. Interactive network-based analyses identified IL-6, IL-8, IL-1α, and Insulin Receptor (INSR) as focus hub genes within these pathways. Real-time PCR was used for the validation of two of these genes: IL-6 and IL-8, in addition to Collagen 11A1 (COL11A1), a cornerstone of the backpropagation. In conclusion, these results establish causality relationships clarifying the pathogenesis of vein graft implantation injury, and identifying novel targets for its prevention.

Indexed as

TranscriptomeAnimalsDogsQuality ControlVeins

Identifiers

PMID22720046
PMCPMC3376111
OpenAlexW2145886691

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.