Evidence map›Paper›PMID 32588253›Full record

ArticleIn vitro cellular & developmental biology. Animal2020

Distinct differences in hypoxic responses between human oral mucosa and skin fibroblasts in a 3D collagen matrix.

Yuko Hara-Saito, Hiroko Kato, Naoaki Saito, Aki Shiomi, Atsushi Uenoyama, Ritsuo Takagi, Kenji Izumi

Abstract read
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Article in In vitro cellular & developmental biology. Animal, 2020. 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
–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

5 citing papers in PubMed.

  1. Article
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  3. Review
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  5. Article
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

7 authors.

Yuko Hara-SaitoDivision of Oral and Maxillofacial Surgery, Faculty of Dentistry, Niigata University, Niigata City, Japan.
Hiroko KatoDivision of Biomimetics, Faculty of Dentistry, Niigata University, 2-5274 Gakkocho-dori, Chuo-ku, Niigata City, Niigata, 951-8514, Japan.
Naoaki SaitoDivision of Reconstructive Surgery for Oral and Maxillofacial Region, Faculty of Dentistry, Niigata University, Niigata City, Japan.
Aki ShiomiDental Educational Research Development, Faculty of Dentistry, Niigata University, Niigata City, Japan.
Atsushi UenoyamaDivision of Oral and Maxillofacial Surgery, Faculty of Dentistry, Niigata University, Niigata City, Japan.
Ritsuo TakagiDivision of Oral and Maxillofacial Surgery, Faculty of Dentistry, Niigata University, Niigata City, Japan.
Kenji IzumiDivision of Biomimetics, Faculty of Dentistry, Niigata University, 2-5274 Gakkocho-dori, Chuo-ku, Niigata City, Niigata, 951-8514, Japan. izumik@dent.niigata-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The differences between oral mucosa and skin wound healing involving hypoxic responses of fibroblasts are poorly elucidated. In this study, we aimed to study the different hypoxic responses between oral and skin fibroblasts embedded in a three-dimensional (3D) collagen matrix to address the early stage of wound healing. Primary oral mucosa fibroblasts (OMFs) obtained from the retromolar area and skin fibroblasts (SFs) obtained from the abdomen were cultured in the 3D 'floating model' under either 21%, 5% or 1% O

Indexed as

ActinsAdultCell HypoxiaCell MovementCell SurvivalCluster AnalysisCollagenFemaleFibroblastsGene Expression RegulationHumansHyaluronan ReceptorsHyaluronoglucosaminidaseMatrix Metalloproteinase 10Matrix Metalloproteinase 3Models, BiologicalACTA2 protein, humanActinsCEMIP protein, humanCollagenHyaluronan ReceptorsHyaluronoglucosaminidaseMatrix Metalloproteinase 10Matrix Metalloproteinase 3OxygenFibroblastFloating modelHypoxiaOral mucosaSkin

Identifiers

What OpenQuestion holds

Textmetadata
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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.