Evidence map›Paper›PMID 36394779›Full record

ReviewBiomechanics and modeling in mechanobiology2022

On the role of mechanical signals on sprouting angiogenesis through computer modeling approaches.

Tamer Abdalrahman, Sara Checa

Open access · hybridAbstract readReview
In one paragraph

Review in Biomechanics and modeling in mechanobiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Innovative approach to distraction osteogenesis using a novel external fixator design. In vivo experimental rabbit model.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. [Research progress of matrix stiffness in regulating endothelial cell sprouting].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2023
    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 2 countries.

Tamer AbdalrahmanJulius Wolff Institute, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Sara ChecaJulius Wolff Institute, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany. sara.checa@bih-charite.de.ORCID http://orcid.org/0000-0002-1444-5858
Berlin Institute of Health at Charité - Universitätsmedizin Berlin · DEUniversity of Cape Town · ZA

Funding

Deutsche Forschungsgemeinschaft CH 1123/4-2
6 · The paper itself

Abstract

Sprouting angiogenesis, the formation of new vessels from preexisting vasculature, is an essential process in the regeneration of new tissues as well as in the development of some diseases like cancer. Although early studies identified chemical signaling as the main driver of this process, many recent studies have shown a strong role of mechanical signals in the formation of new capillaries. Different types of mechanical signals (e.g., external forces, cell traction forces, and blood flow-induced shear forces) have been shown to play distinct roles in the process; however, their interplay remains still largely unknown. During the last decades, mathematical and computational modeling approaches have been developed to investigate and better understand the mechanisms behind mechanically driven angiogenesis. In this manuscript, we review computational models of angiogenesis with a focus on models investigating the role of mechanics on the process. Our aim is not to provide a detailed review on model methodology but to describe what we have learnt from these models. We classify models according to the mechanical signals being investigated and describe how models have looked into their role on the angiogenic process. We show that a better understanding of the mechanobiology of the angiogenic process will require the development of computer models that incorporate the interactions between the multiple mechanical signals and their effect on cellular responses, since they all seem to play a key in sprout patterning. In the end, we describe some of the remaining challenges of computational modeling of angiogenesis and discuss potential avenues for future research.

Indexed as

HemodynamicsNeovascularization, PathologicComputersComputer SimulationHumansMorphogenesisAngiogenesisComputationalMechanicsMechanobiology

Identifiers

PMID36394779
PMCPMC9700567
OpenAlexW4309244246

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.