Evidence map›Paper›PMID 37871113›Full record

ArticlePLoS computational biology2023

Spatial Configurations of 3D Extracellular Matrix Collagen Density and Anisotropy Simultaneously Guide Angiogenesis.

Steven A LaBelle, A Marsh Poulson, Steve A Maas, Adam Rauff, Gerard A Ateshian, Jeffrey A Weiss

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  4. Article
  5. 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

6 authors at 2 institutions in 1 country.

Steven A LaBelleDepartment of Biomedical Engineering, University of Utah, Salt Lake City, Utah, United States of America.ORCID 0000-0002-3857-7396
A Marsh PoulsonScientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, United States of America.
Steve A MaasDepartment of Biomedical Engineering, University of Utah, Salt Lake City, Utah, United States of America.
Adam RauffDepartment of Biomedical Engineering, University of Utah, Salt Lake City, Utah, United States of America.
Gerard A AteshianDepartment of Mechanical Engineering, Columbia University, New York, New York, United States of America.
Jeffrey A WeissDepartment of Biomedical Engineering, University of Utah, Salt Lake City, Utah, United States of America.ORCID 0000-0002-7264-2454
University of Utah · USColumbia University · US

Funding

Finite Elements For Biomechanics And BiophysicsR01GM083925 · NIGMS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI GERARD A. ATESHIAN, JEFFREY A. WEISS · 2008 to 2026
$7.6M
Regenerative Rehabilitation of Complex Musculoskeletal InjuriesR01AR069297 · NIAMS · UNIVERSITY OF OREGON · PI ROBERT E Guldberg · 2016 to 2026
$5.6M
Neovessel Guidance in AngiogenesisR01HL131856 · NHLBI · UNIVERSITY OF UTAH · PI HOYING, JAMES B, WEISS, JEFFREY A. · 2017 to 2020
$1.8M
Lab-to-User Training and Dissemination for the FEBio Software SuiteU24EB029007 · NIBIB · UNIVERSITY OF UTAH · PI WEISS, JEFFREY A. · 2019 to 2023
$1.3M
NHLBI NIH HHS R01 HL131856NIAMS NIH HHS R01 AR069297NIBIB NIH HHS U24 EB029007NIGMS NIH HHS R01 GM083925
6 · The paper itself

Abstract

Extracellular matrix (ECM) collagen density and fibril anisotropy are thought to affect the development of new vasculatures during pathologic and homeostatic angiogenesis. Computational simulation is emerging as a tool to investigate the role of matrix structural configurations on cell guidance. However, prior computational models have only considered the orientation of collagen as a model input. Recent experimental evidence indicates that cell guidance is simultaneously influenced by the direction and intensity of alignment (i.e., degree of anisotropy) as well as the local collagen density. The objective of this study was to explore the role of ECM collagen anisotropy and density during sprouting angiogenesis through simulation in the AngioFE and FEBio modeling frameworks. AngioFE is a plugin for FEBio (Finite Elements for Biomechanics) that simulates cell-matrix interactions during sprouting angiogenesis. We extended AngioFE to represent ECM collagen as deformable 3D ellipsoidal fibril distributions (EFDs). The rate and direction of microvessel growth were modified to depend simultaneously on the ECM collagen anisotropy (orientation and degree of anisotropy) and density. The sensitivity of growing neovessels to these stimuli was adjusted so that AngioFE could reproduce the growth and guidance observed in experiments where microvessels were cultured in collagen gels of varying anisotropy and density. We then compared outcomes from simulations using EFDs to simulations that used AngioFE's prior vector field representation of collagen anisotropy. We found that EFD simulations were more accurate than vector field simulations in predicting experimentally observed microvessel guidance. Predictive simulations demonstrated the ability of anisotropy gradients to recruit microvessels across short and long distances relevant to wound healing. Further, simulations predicted that collagen alignment could enable microvessels to overcome dense tissue interfaces such as tumor-associated collagen structures (TACS) found in desmoplasia and tumor-stroma interfaces. This approach can be generalized to other mechanobiological relationships during cell guidance phenomena in computational settings.

Indexed as

CollagenExtracellular MatrixAnisotropyCell CommunicationMorphogenesisCollagen

Identifiers

PMID37871113
PMCPMC10621972
OpenAlexW4387873082

What Socratic 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 Socratic graph.