Evidence map›Paper›PMID 29520499›Full record

ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2018

Towards an in vitro fibrogenesis model of human vocal fold scarring.

M Graupp, B Rinner, M T Frisch, G Weiss, J Fuchs, M Sundl, A El-Heliebi, G Moser, L P Kamolz, M Karbiener and 1 more

Open access · hybridAbstract read
In one paragraph

Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2018. 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
2.0field-weighted citation impact, top 13% 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, 23 citations in OpenAlex.

  1. Evaluation of research methodology generation by large language models in laryngology: a comparative analysis of ChatGPT-4.0 and Gemini 1.5 flash.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
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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

11 authors at 1 institution in 1 country.

M GrauppDepartment of Phoniatrics, ENT University Hospital Graz, Medical University of Graz, Auenbruggerplatz 26, 8036, Graz, Austria.
B RinnerDivision of Biomedical Research, Core Facility Alternative Biomodels and Preclinical Imaging, Medical University of Graz, Graz, Austria.
M T FrischDivision of Biomedical Research, Core Facility Alternative Biomodels and Preclinical Imaging, Medical University of Graz, Graz, Austria.
G WeissInstitute of Cell Biology, Histology and Embryology, Medical University of Graz, Graz, Austria.
J FuchsInstitute of Cell Biology, Histology and Embryology, Medical University of Graz, Graz, Austria.
M SundlInstitute of Cell Biology, Histology and Embryology, Medical University of Graz, Graz, Austria.
A El-HeliebiInstitute of Cell Biology, Histology and Embryology, Medical University of Graz, Graz, Austria.
G MoserInstitute of Cell Biology, Histology and Embryology, Medical University of Graz, Graz, Austria.
L P KamolzDivision of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, Graz, Austria.
M KarbienerDepartment of Phoniatrics, ENT University Hospital Graz, Medical University of Graz, Auenbruggerplatz 26, 8036, Graz, Austria. michael.karbiener@medunigraz.at.ORCID http://orcid.org/0000-0002-8064-2489
M GugatschkaDepartment of Phoniatrics, ENT University Hospital Graz, Medical University of Graz, Auenbruggerplatz 26, 8036, Graz, Austria.
Medical University of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVocal fold (VF) scarring remains a therapeutic dilemma and challenge in modern laryngology. To facilitate corresponding research, we aimed to establish an in vitro fibrogenesis model employing human VF fibroblasts (hVFF) and the principles of macromolecular crowding (MMC).

methodsFibrogenesis was promoted by addition of transforming growth factor-β1 to standard medium and medium containing inert macromolecules (MMC). Hepatocyte growth factor (HGF) and Botox type A were tested for their antifibrotic properties in various doses. Experiments were analyzed with respect to the biosynthesis of collagen, fibronectin, and α-smooth muscle actin using immunofluorescence, silver stain and western blot.

resultsMMC led to favourable enhanced deposition of collagen and other extracellular matrix components, reflecting fibrotic conditions. Low doses of HGF were able to dampen profibrotic effects. This could not be observed for higher HGF concentrations. Botox type A did not show any effects.

conclusionBased on the principles of MMC we could successfully establish a laryngeal fibrogenesis model employing hVFF. Our finding of dose-dependent HGF effects is important before going into clinical trials in humans and has never been shown before. Our model provides a novel option to screen various potential antifibrotic compounds under standardized conditions in a short time.

Indexed as

BiomarkersBlotting, WesternCells, CulturedCicatrixFibroblastsFibrosisFluorescent Antibody TechniqueHepatocyte Growth FactorHumansIn Vitro TechniquesVocal CordsBiomarkersHepatocyte Growth FactorHGF protein, humanIn vitro fibrogenesis modelMacromolecular crowdingVocal fold fibroblastsVocal fold scar

Identifiers

PMID29520499
PMCPMC5893733
OpenAlexW2796729473

What OpenQuestion holds

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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.