Evidence map›Paper›PMID 25839068›Full record

ReviewIntegrative biology : quantitative biosciences from nano to macro2015

Systems biology of the microvasculature.

Lindsay E Clegg, Feilim Mac Gabhann

Open access · greenAbstract readReview
In one paragraph

Review in Integrative biology : quantitative biosciences from nano to macro, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Context-dependent regulation of receptor tyrosine kinases: Insights from systems biology approaches.Wiley interdisciplinary reviews. Systems biology and medicine · 2019
    Review
  5. Observational
  6. Article
  7. A computational analysis of pro-angiogenic therapies for peripheral artery disease.Integrative biology : quantitative biosciences from nano to macro · 2018
    Article
  8. Article
  9. Article
  10. 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

2 authors at 2 institutions in 1 country.

Lindsay E CleggInstitute for Computational Medicine and Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA. feilim@jhu.edu.
Feilim Mac Gabhann
Computational Physics (United States) · USJohns Hopkins University · US

Funding

Systems Biology of Angiogenesis in Peripheral Arterial DiseaseR01HL101200 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POPEL, ALEKSANDER S. · 2010 to 2022
$10.7M
Endothelial cell decisions integrate soluble and matrix-bound VEGF gradientsR00HL093219 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI MAC GABHANN, FEILIM C · 2009 to 2011
$746k
NHLBI NIH HHS R00 HL093219NHLBI NIH HHS R00-HL093219NHLBI NIH HHS R01 HL101200NHLBI NIH HHS R01-HL101200
6 · The paper itself

Abstract

The vascular network carries blood throughout the body, delivering oxygen to tissues and providing a pathway for communication between distant organs. The network is hierarchical and structured, but also dynamic, especially at the smaller scales. Remodeling of the microvasculature occurs in response to local changes in oxygen, gene expression, cell-cell communication, and chemical and mechanical stimuli from the microenvironment. These local changes occur as a result of physiological processes such as growth and exercise, as well as acute and chronic diseases including stroke, cancer, and diabetes, and pharmacological intervention. While the vasculature is an important therapeutic target in many diseases, drugs designed to inhibit vascular growth have achieved only limited success, and no drug has yet been approved to promote therapeutic vascular remodeling. This highlights the challenges involved in identifying appropriate therapeutic targets in a system as complex as the vasculature. Systems biology approaches provide a means to bridge current understanding of the vascular system, from detailed signaling dynamics measured in vitro and pre-clinical animal models of vascular disease, to a more complete picture of vascular regulation in vivo. This will translate to an improved ability to identify multi-component biomarkers for diagnosis, prognosis, and monitoring of therapy that are easy to measure in vivo, as well as better drug targets for specific disease states. In this review, we summarize systems biology approaches that have advanced our understanding of vascular function and dysfunction in vivo, with a focus on computational modeling.

Indexed as

AnimalsBiomarkersBlood Flow VelocityCell CommunicationComputer SimulationGene Expression RegulationHomeostasisHumansMicrocirculationMicrovesselsNeovascularization, PathologicNeovascularization, PhysiologicOxygenSignal TransductionSystems BiologyVascular Endothelial Growth Factor ABiomarkersOxygenVascular Endothelial Growth Factor A

Identifiers

PMID25839068
PMCPMC4429012
OpenAlexW2071729656

What OpenQuestion holds

Textmetadata
LicenceTDM
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.