Evidence map›Paper›PMID 37545751›Full record

ArticleWorld journal of stem cells2023

Injectable hydrogel made from antler mesenchyme matrix for regenerative wound healing

Guo-Kun Zhang, Jing Ren, Ji-Ping Li, Dong-Xu Wang, Sheng-Nan Wang, Li-Yan Shi, Chun-Yi Li

Abstract read
In one paragraph

Article in World journal of stem cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Guo-Kun ZhangInstitute of Antler Science and Product Technology, Changchun Sci-Tech University, Changchun 130600, Jilin Province, China.
Jing RenInstitute of Antler Science and Product Technology, Changchun Sci-Tech University, Changchun 130600, Jilin Province, China.
Ji-Ping LiInstitute of Antler Science and Product Technology, Changchun Sci-Tech University, Changchun 130600, Jilin Province, China.
Dong-Xu WangInstitute of Antler Science and Product Technology, Changchun Sci-Tech University, Changchun 130600, Jilin Province, China.
Sheng-Nan WangInstitute of Antler Science and Product Technology, Changchun Sci-Tech University, Changchun 130600, Jilin Province, China.
Li-Yan ShiChina-Japan Union Hospital, Jilin University, Changchun 130033, Jilin Province, China.
Chun-Yi LiInstitute of Antler Science and Product Technology, Changchun Sci-Tech University, Changchun 130600, Jilin Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScar formation and loss of cutaneous appendages are the greatest challenges in cutaneous wound healing. Previous studies have indicated that antler reserve mesenchyme (RM) cells and their conditioned medium improved regenerative wound healing with partial recovery of cutaneous appendages.

aimTo develop hydrogels from the antler RM matrix (HARM) and evaluate the effect on wound healing.

methodsWe prepared the hydrogels from the HARM

resultsThe results showed that HARM accelerated wound healing rate and reduced scar formation. Also, HARM stimulated the regeneration of cutaneous appendages and blood vessels, and reduced collagen fiber aggregation. Further study showed that these functions might be achieved

conclusionOverall, we successfully developed an injectable hydrogel made from antler RM matrix for the regenerative repair of full-thickness cutaneous wounds. We uncovered the molecular mechanism of the hydrogels in promoting regenerative wound healing, and thus pave the way for HARM to be developed for the clinic use.

Indexed as

Antler reserve mesenchymeFetal-like nicheHydrogelRegenerative wound healing

Identifiers

PMID37545751
PMCPMC10401419

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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.