Evidence map›Paper›PMID 40213810›Full record

ReviewJournal of enzyme inhibition and medicinal chemistry2025

Promoting collagen synthesis: a viable strategy to combat skin ageing.

Shan Wang, Feifan Li, Xilong Feng, Meiling Feng, Xiaotian Niu, Xiaoying Jiang, Wenchao Chen, Renren Bai

Abstract readReview
In one paragraph

Review in Journal of enzyme inhibition and medicinal chemistry, 2025. 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
–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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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  7. Review
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.

Shan WangSchool of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, PR China.
Feifan LiSchool of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, PR China.
Xilong FengSchool of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, PR China.
Meiling FengSchool of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, PR China.
Xiaotian NiuSchool of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, PR China.
Xiaoying JiangSchool of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, PR China.
Wenchao ChenSchool of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, PR China.
Renren BaiSchool of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skin ageing is a complex physiological process primarily characterised by the deepening of wrinkles and the sagging of the skin. Collagen is essential for maintaining skin elasticity and firmness. As skin ages, it experiences structural and functional changes in collagen, including a decrease in collagen synthesis and an increase in collagen hydrolysis. Thus, promoting collagen synthesis represents a practical strategy for mitigating skin ageing. This review systematically described the functions, classifications and biosynthesis process of collagen, as well as its role in skin ageing. Additionally, the major signalling pathways and targets associated with collagen synthesis were also discussed. More importantly, the review provided a detailed summary of natural products with collagen synthesis-promoting effects and highlighted small molecule compounds with potential anti-ageing activity, especially PPARδ agonists. The relevant content offers potential targets and lead compounds for the development of anti-skin ageing therapies.

Indexed as

Biological ProductsCollagenSkin AgingAnimalsHumansMolecular StructureSkinBiological ProductsCollagenCollagendrug discoverynatural productPPARδ agonistskin ageing

Identifiers

PMID40213810
PMCPMC11995770

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.