Evidence map›Paper›PMID 40232028›Full record

ArticleFoods (Basel, Switzerland)2025

Peptides from Mackerel Skin Prepared by the Mixed Proteases: Fractionation, Characterization and Bioactivities.

Yichen Zhu, Leyi Zheng, Lei Gu, Yijiao Qiao, Changhua Xu

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Yichen ZhuCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Leyi ZhengCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Lei GuShanghai Engineering Research Center of Aquatic-Product Processing and Preservation, Shanghai 201306, China.
Yijiao QiaoShanghai Engineering Research Center of Aquatic-Product Processing and Preservation, Shanghai 201306, China.
Changhua XuCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.

Funding

the National Key R&D Program of China 2020YFD0900905the National Natural Science Foundation of China 32371321
6 · The paper itself

Abstract

Mackerel is widely favored by consumers as a high-yield, delicious marine fish. However, by-products generated during its processing, such as fish skins, are often underutilized, resulting in significant resource waste. This study aimed to extract high-activity mackerel protein peptides (HA-MPPs) from mackerel skins through targeted enzymatic hydrolysis (using a composite protease). The peptides were purified using ultrafiltration and HPLC, and their biological activity was evaluated through infrared imaging and antioxidant assays. Mass spectrometry identified the main peptide fragments (P1, P2, and P3). The optimal conditions for enzymatic hydrolysis were 0.22% enzyme concentration, a 2.03 h hydrolysis time, 55.05 °C, and a 1:3 solid-to-liquid ratio, yielding 59.66%. Infrared imaging showed that HA-MPPs exhibited significant biological repair activities, penetrating the hair cuticle to restore keratin and enhance hair strength. Additionally, antioxidant assays confirmed their abilities to reduce oxidative damage. This study presents a novel method for the targeted enzymatic extraction of HA-MPPs from mackerel by-products and the high-value utilization of their biological activity. It also demonstrates the potential of these peptides in hair repair, providing a theoretical foundation for the future development of hair care products with reparative functions.

Indexed as

biological activitieshigh-value utilizationmackerelpeptidestargeted enzymatic extraction

Identifiers

PMID40232028
PMCPMC11941859

What OpenQuestion holds

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LicenceCC BY
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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.