Evidence map›Paper›PMID 40444294›Full record

ArticleWound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society

Candidate Biomarkers for Hard-to-Heal Wounds Revealed by Single-Cell RNA Sequencing of Wound Fluid in Murine Wound Models.

Qi Qin, Daijiro Haba, Chihiro Takizawa, Sanai Tomida, Ai Horinouchi, Mikako Katagiri, Seitaro Nomura, Gojiro Nakagami

Abstract read
In one paragraph

Article in Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society. 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.

  1. Review
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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

8 authors.

Qi QinDepartment of Gerontological Nursing/Wound Care Management, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-3129-3523
Daijiro HabaGlobal Nursing Research Center, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-8820-0952
Chihiro TakizawaDepartment of Gerontological Nursing/Wound Care Management, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-4265-5107
Sanai TomidaDepartment of Gerontological Nursing/Wound Care Management, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Ai HorinouchiDepartment of Gerontological Nursing/Wound Care Management, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0009-0000-8612-1484
Mikako KatagiriDepartment of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan.ORCID 0000-0002-0529-6619
Seitaro NomuraDepartment of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan.ORCID 0000-0002-2957-2016
Gojiro NakagamiDepartment of Gerontological Nursing/Wound Care Management, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-9650-2464

Funding

AMED JP23ama121016Japan Science and Technology Agency JPMJFR205HJapan Society for the Promotion of Science KAKENHI 23H00547Japan Society for the Promotion of Science KAKENHI 23KJ0482
6 · The paper itself

Abstract

Wound healing is often hindered by hyperglycemia, chronic inflammation and ageing. Despite extensive research on the pathophysiology of hard-to-heal wounds, wound healing remains complex and poses challenges in treatment and management. Current wound treatments and care mostly target a single pathology, such as infection, while most hard-to-heal wounds are multifactorial. Therefore, exploring the factors that do not rely on a single pathology is crucial to fill the gap in current wound management. Despite containing more comprehensive information than commonly used wound tissue samples, cells in the wound fluid have not drawn much attention because of collection difficulties. This study aimed to use single-cell RNA sequencing (scRNA-seq) of cells from wound fluid to identify specific biomarkers for hard-to-heal wounds, with the hypothesis that common biomarkers among various wound models can be potentially applied to complex hard-to-heal wounds in clinical settings. Three representative delayed wound models, aged, diabetic and lipopolysaccharide-induced inflammatory wound models, were compared with normal young mice to explore commonly shared genes that exist in different pathological delayed wound healing models. The shared upregulation of cell cycle and cellular senescence-related genes such as Rpl11, Rpl26, Rps3, Rps15, Rps 20, Rps26, Ccl2, Cdk2ap2 and Ccnd3 and the downregulation of immune response regulation genes such as Tnfaip3, Junb, Il1r2, Plaur, Il1rn, Il1a, Cxcl2, Cd14, S100a8 and S100a9 in all delayed healing wound models were found in most immune cell subgroups, especially the macrophage subgroup. The results of this study suggested cellular senescence of cells in wound fluid could be related to hard-to-heal wounds.

Indexed as

Wound HealingWounds and InjuriesAnimalsBiomarkersDisease Models, AnimalMaleMiceMice, Inbred C57BLSequence Analysis, RNASingle-Cell AnalysisBiomarkershard‐to‐heal woundssingle‐cell analysiswound dressingswound fluidwound healing

Identifiers

PMID40444294
PMCPMC12123480

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Registered trials

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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.