Evidence map›Paper›PMID 37978303›Full record

ArticleScientific reports2023

Development of a facile method to compute collagen network pathological anisotropy using AFM imaging.

Emilie Khattignavong, Mehrnoosh Neshatian, Mina Vaez, Amaury Guillermin, Josephine T Tauer, Marianne Odlyha, Nimish Mittal, Svetlana V Komarova, Hassan Zahouani, Laurent Bozec

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

10 authors at 4 institutions in 3 countries.

Emilie Khattignavong *Faculty of Dentistry, University of Toronto, 124 Edward Street, Toronto, ON, M5G 1G6, Canada.
Mehrnoosh Neshatian *Faculty of Dentistry, University of Toronto, 124 Edward Street, Toronto, ON, M5G 1G6, Canada.ORCID 0000-0001-7951-559X
Mina VaezFaculty of Dentistry, University of Toronto, 124 Edward Street, Toronto, ON, M5G 1G6, Canada.ORCID 0000-0003-1707-3356
Amaury GuillerminUMR 5513, Laboratoire de Tribologie et Dynamique Des Systémes, École Centrale de Lyon-École Nationale d'Ingénieurs de Saint, Université de Lyon, Étienne, France.
Josephine T TauerShriners Hospital for Children, Montreal, QC, Canada.ORCID 0000-0002-6079-4653
Marianne OdlyhaSchool of Biological Science, Birkbeck College, University of London, London, UK.
Nimish MittalDivision of Physical Medicine and Rehabilitation, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Svetlana V KomarovaShriners Hospital for Children, Montreal, QC, Canada.ORCID 0000-0003-3570-3147
Hassan ZahouaniUMR 5513, Laboratoire de Tribologie et Dynamique Des Systémes, École Centrale de Lyon-École Nationale d'Ingénieurs de Saint, Université de Lyon, Étienne, France.
Laurent BozecFaculty of Dentistry, University of Toronto, 124 Edward Street, Toronto, ON, M5G 1G6, Canada. l.bozec@utoronto.ca.ORCID 0000-0001-6322-7817
University of Toronto · CAUniversité Claude Bernard Lyon 1 · FRMcGill University Health Centre · CABirkbeck, University of London · GB

Funding

CIHR PJT-152926
6 · The paper itself

Abstract

Type I collagen, a fundamental extracellular matrix (ECM) component, is pivotal in maintaining tissue integrity and strength. It is also the most prevalent fibrous biopolymer within the ECM, ubiquitous in mammalian organisms. This structural protein provides essential mechanical stability and resilience to various tissues, including tendons, ligaments, skin, bone, and dentin. Collagen has been structurally investigated for several decades, and variation to its ultrastructure by histology has been associated with several pathological conditions. The current study addresses a critical challenge in the field of collagen research by providing a novel method for studying collagen fibril morphology at the nanoscale. It offers a computational approach to quantifying collagen properties, enabling a deeper understanding of how collagen type I can be affected by pathological conditions. The application of Fast Fourier Transform (FFT) coupled with Atomic Force Microscope (AFM) imaging distinguishes not only healthy and diseased skin but also holds potential for automated diagnosis of connective tissue disorders (CTDs), contributing to both clinical diagnostics and fundamental research in this area. Here we studied the changes in the structural parameters of collagen fibrils in Ehlers Danlos Syndrome (EDS). We have used skin extracted from genetically mutant mice that exhibit EDS phenotype as our model system (Col1a1

Indexed as

Ehlers-Danlos SyndromeExtracellular MatrixAnimalsAnisotropyCollagenCollagen Type IMammalsMiceMicroscopy, Atomic ForceTendonsCollagenCollagen Type I

Identifiers

PMID37978303
PMCPMC10656449
OpenAlexW4388757711

What OpenQuestion holds

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LicenceCC BY
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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.