Evidence map›Paper›PMID 38371682›Full record

ArticleFood science and biotechnology2024

Oral administration of collagen peptide in SKH-1 mice suppress UVB-induced wrinkle and dehydration through MAPK and MAPKK signaling pathways, in vitro and in vivo evidence.

Cheol Hyeon Cho, Wonchul Lim, Woo-Jin Sim, Tae-Gyu Lim

Open access · greenAbstract read
In one paragraph

Article in Food science and biotechnology, 2024. 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
2.9field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Cheol Hyeon ChoDepartment of Food Science & Biotechnology, Sejong University, Seoul, 05006 Republic of Korea.
Wonchul LimDepartment of Food Science & Biotechnology, and Carbohydrate Bioproduct Research Center, Sejong University, Seoul, 05006 Republic of Korea.
Woo-Jin SimDepartment of Food Science & Biotechnology, Sejong University, Seoul, 05006 Republic of Korea.
Tae-Gyu LimDepartment of Food Science & Biotechnology, Sejong University, Seoul, 05006 Republic of Korea.ORCID 0000-0001-6930-9565
Sejong University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skin aging is induced by exposure to extrinsic factors, causing various diseases and adversely affecting aesthetics. Studies have suggested that as the quality of life improves, demand for beauty and nutritional cosmetics increases. Here, the protective effects of collagen peptide against UV-induced skin damage were evaluated in vitro and in vivo. Collagen peptide inhibited water loss and UVB irradiation-induced HA degradation in the skin of SKH-1 mice. Additionally, collagen peptide dose-dependently inhibited UVB-induced wrinkle formation, epidermal thickness, and elastase activity. These results suggest that collagen peptide regulates collagen degradation through the MAPK and MAPKK pathway. In addition, collagen peptide administration did not affect changes in weight of the liver, spleen, and kidney, or enzymatic indicators of liver damage. Taken together, oral administration of collagen peptide improved the effects of UV-induced skin aging without toxicity. Therefore, this study supports the development of collagen peptide for skin aging prevention in nutricosmetic products. Supplementary Information: The online version contains supplementary material available at 10.1007/s10068-023-01362-6.

Indexed as

CollagenHuman SkinMAPKKMMPsUV

Identifiers

PMID38371682
PMCPMC10866847
OpenAlexW4382932257

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.