Evidence map›Paper›PMID 39616231›Full record

ArticleScientific reports2024

A computational model that integrates unrestricted callus growth, mechanobiology, and angiogenesis can predict bone healing in rodents.

Ahmad Hedayatzadeh Razavi, Nazanin Nafisi, Mohammad Sadegh Ghiasi, Ramin Oftadeh, Philip Hanna, Aron Lechtig, Kaveh Momenzadeh, Diana Yeritsyan, Patrick Minassians, Abraham Mahjoob and 5 more

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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

15 authors.

Ahmad Hedayatzadeh Razavi *Musculoskeletal Translational Innovation Initiative, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, RN123, Boston, MA, 02215, USA.
Nazanin Nafisi *Musculoskeletal Translational Innovation Initiative, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, RN123, Boston, MA, 02215, USA.
Mohammad Sadegh GhiasiMusculoskeletal Translational Innovation Initiative, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, RN123, Boston, MA, 02215, USA.
Ramin OftadehGrodzinsky Lab, Biological Engineering Department, Center for Biomedical Engineering, Massachusetts Institute of Technology, 500 Technology Sq, Rm 377, Cambridge, MA, 02139, USA.
Philip HannaMusculoskeletal Translational Innovation Initiative, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, RN123, Boston, MA, 02215, USA.
Aron LechtigMusculoskeletal Translational Innovation Initiative, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, RN123, Boston, MA, 02215, USA.
Kaveh MomenzadehMusculoskeletal Translational Innovation Initiative, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, RN123, Boston, MA, 02215, USA.
Diana YeritsyanMusculoskeletal Translational Innovation Initiative, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, RN123, Boston, MA, 02215, USA.
Patrick MinassiansMusculoskeletal Translational Innovation Initiative, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, RN123, Boston, MA, 02215, USA.
Abraham MahjoobMusculoskeletal Translational Innovation Initiative, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, RN123, Boston, MA, 02215, USA.
Samantha PerezMusculoskeletal Translational Innovation Initiative, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, RN123, Boston, MA, 02215, USA.
Rosalynn M NazarianPathology Service, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St., Boston, MA, 02114, USA.
John J WixtedMusculoskeletal Translational Innovation Initiative, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, RN123, Boston, MA, 02215, USA.
Ashkan VaziriBiosensics LLC, 57 Chapel St, Newton, MA, 02458, USA.
Ara NazarianMusculoskeletal Translational Innovation Initiative, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, RN123, Boston, MA, 02215, USA. anazaria@bidmc.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a computational model that integrates mechanobiological regulations, angiogenesis simulations and models natural callus development to simulate bone fracture healing in rodents. The model inputs include atomic force microscopy values and micro-computed tomography on the first-day post osteotomy, which, combined with detailed finite element modeling, enables scrutinizing mechanical and biological interactions in early bone healing and throughout the healing process. The model detailed mesenchymal stem cell migration patterns, which are essential for tissue transformation and vascularization during healing, indicating the vital role of blood supply in the healing process. The model predicted bone healing in rodents (n = 48) over 21 days, matching daily tissue development with histological evidence. The developed computational model successfully predicts tissue formation rates and stiffness, reflecting physiological callus growth, and offers a method to simulate the healing process, potentially extending to humans in the future.

Indexed as

Bony CallusComputer SimulationFracture HealingNeovascularization, PhysiologicAngiogenesisAnimalsBiomechanical PhenomenaFinite Element AnalysisMesenchymal Stem CellsMiceMicroscopy, Atomic ForceModels, BiologicalRatsX-Ray MicrotomographyAngiogenesisBone healing mechanobiologyComputational modelingPlate fixationRat fracture modelUnrestricted callus growth

Identifiers

PMID39616231
PMCPMC11608358

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.