Evidence map›Paper›PMID 34170925›Full record

ArticlePLoS computational biology2021

Simulation of angiogenesis in three dimensions: Application to cerebral cortex.

Jonathan P Alberding, Timothy W Secomb

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-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

12 citing papers in PubMed, 21 citations in OpenAlex.

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  6. Intimate contact between red blood cells and vessel walls is sufficient to stabilize capillary networks during development.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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 1 institution in 1 country.

Jonathan P AlberdingBIO5 Institute, University of Arizona, Tucson, Arizona, United States of America.
Timothy W SecombBIO5 Institute, University of Arizona, Tucson, Arizona, United States of America.ORCID 0000-0002-0176-5502
University of Arizona · US

Funding

MICROVASCULAR BLOOD RHEOLOGY &RED BLOOD CELL MECHANICSR01HL034555 · NHLBI · UNIVERSITY OF ARIZONA · PI SECOMB, TIMOTHY W. · 1988 to 2020
$3.2M
Multiscale modeling of cerebral blood flow and oxygen transportU01HL133362 · NHLBI · UNIVERSITY OF ARIZONA · PI SECOMB, TIMOTHY W. · 2017 to 2021
$2.0M
NHLBI NIH HHS R01 HL034555NHLBI NIH HHS U01 HL133362
6 · The paper itself

Abstract

The vasculature is a dynamic structure, growing and regressing in response to embryonic development, growth, changing physiological demands, wound healing, tumor growth and other stimuli. At the microvascular level, network geometry is not predetermined, but emerges as a result of biological responses of each vessel to the stimuli that it receives. These responses may be summarized as angiogenesis, remodeling and pruning. Previous theoretical simulations have shown how two-dimensional vascular patterns generated by these processes in the mesentery are consistent with experimental observations. During early development of the brain, a mesh-like network of vessels is formed on the surface of the cerebral cortex. This network then forms branches into the cortex, forming a three-dimensional network throughout its thickness. Here, a theoretical model is presented for this process, based on known or hypothesized vascular response mechanisms together with experimentally obtained information on the structure and hemodynamics of the mouse cerebral cortex. According to this model, essential components of the system include sensing of oxygen levels in the midrange of partial pressures and conducted responses in vessel walls that propagate information about metabolic needs of the tissue to upstream segments of the network. The model provides insights into the effects of deficits in vascular response mechanisms, and can be used to generate physiologically realistic microvascular network structures.

Indexed as

Models, CardiovascularModels, NeurologicalNeovascularization, PhysiologicAnimalsCerebral CortexComputational BiologyComputer SimulationHemodynamicsMiceMicrocirculationMicrovesselsOxygen Consumption

Identifiers

PMID34170925
PMCPMC8266096
OpenAlexW3174955442

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.