ReviewIntegrative biology : quantitative biosciences from nano to macro2015
Systems biology of the microvasculature.
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.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed, 23 citations in OpenAlex.
- Understanding human aging and the fundamental cell signaling link in age-related diseases: the middle-aging hypovascularity hypoxia hypothesis.Frontiers in aging · 2023Article
- Review
- Computational Models for Diagnosing and Treating Endometriosis.Frontiers in reproductive health · 2021Review
- Context-dependent regulation of receptor tyrosine kinases: Insights from systems biology approaches.Wiley interdisciplinary reviews. Systems biology and medicine · 2019Review
- Socioeconomic status and early blood concentrations of inflammation-related and neurotrophic proteins among extremely preterm newborns.PloS one · 2019Observational
- Deciphering microvascular changes after myocardial infarction through 3D fully automated image analysis.Scientific reports · 2018Article
- A computational analysis of pro-angiogenic therapies for peripheral artery disease.Integrative biology : quantitative biosciences from nano to macro · 2018Article
- Parahippocampal gyrus expression of endothelial and insulin receptor signaling pathway genes is modulated by Alzheimer's disease and normalized by treatment with anti-diabetic agents.PloS one · 2018 · on this mapArticle
- A computational analysis of in vivo VEGFR activation by multiple co-expressed ligands.PLoS computational biology · 2017Article
- Molecular mechanism matters: Benefits of mechanistic computational models for drug development.Pharmacological research · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
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.
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Registered trials
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.