Evidence map›Paper›PMID 42700766›Full record

ArticleUltrasonics sonochemistry2026

Ultrasound-shear-assisted enzymatic preparation of α-glucosidase inhibitory peptides from Juglans sigillata D. and elucidation of their molecular inhibitory mechanism.

Xingjing Zhang, Boxiao Wu, Baitong Zhu, Zhongxing Chu, Quankang Liu, Chang Zou, Ting Ma, Feijun Luo, Yaping Zhou, Delu Ning

Abstract read
In one paragraph

Article in Ultrasonics sonochemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xingjing ZhangState Key Laboratory of Woody Oil Resources Utilization, Central South University of Forestry and Technology, Changsha 410004, China.
Boxiao WuKey Laboratory of National Forestry and Grassland Administration on Walnut, Yunnan Academy of Forestry and Grassland, Kunming 650201, China; Yunnan Technology Innovation Center of Woody Oil, Yunnan Academy of Forestry and Grassland, Kunming 650201, China.
Baitong ZhuState Key Laboratory of Woody Oil Resources Utilization, Central South University of Forestry and Technology, Changsha 410004, China.
Zhongxing ChuState Key Laboratory of Woody Oil Resources Utilization, Central South University of Forestry and Technology, Changsha 410004, China.
Quankang LiuState Key Laboratory of Woody Oil Resources Utilization, Central South University of Forestry and Technology, Changsha 410004, China.
Chang ZouState Key Laboratory of Woody Oil Resources Utilization, Central South University of Forestry and Technology, Changsha 410004, China.
Ting MaKey Laboratory of National Forestry and Grassland Administration on Walnut, Yunnan Academy of Forestry and Grassland, Kunming 650201, China; Yunnan Technology Innovation Center of Woody Oil, Yunnan Academy of Forestry and Grassland, Kunming 650201, China.
Feijun LuoState Key Laboratory of Woody Oil Resources Utilization, Central South University of Forestry and Technology, Changsha 410004, China. Electronic address: T20121480@csuft.edu.cn.
Yaping ZhouState Key Laboratory of Woody Oil Resources Utilization, Central South University of Forestry and Technology, Changsha 410004, China. Electronic address: ZYP4265@163.com.
Delu NingState Key Laboratory of Woody Oil Resources Utilization, Central South University of Forestry and Technology, Changsha 410004, China; Key Laboratory of National Forestry and Grassland Administration on Walnut, Yunnan Academy of Forestry and Grassland, Kunming 650201, China; Yunnan Technology Innovation Center of Woody Oil, Yunnan Academy of Forestry and Grassland, Kunming 650201, China. Electronic address: ningdelu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to efficiently valorize protein resources from Juglans sigillata D. by employing ultrasound-shear-assisted enzymatic hydrolysis to generate α-glucosidase-inhibitory peptides. The process parameters were optimized using response surface methodology, and the structural basis underlying this enhanced inhibitory activity was further elucidated through multiscale structural characterization and molecular docking analysis. The optimal conditions were determined as follows: ultrasound treatment time of 21  min, ultrasonic power of 400  W, shear speed of 12000 r/min, and enzyme loading of 12 KU/g. Under these conditions, the α-glucosidase inhibition rate of the hydrolysate reached 54.38 ± 0.77 %, which was significantly higher than that obtained by enzymatic hydrolysis alone, with the latter showing an inhibition rate of 45.82 ± 3.28 % (p < 0.05). Structural analyses indicated that the combined ultrasound-shear treatment modified the conformational structure and increased the surface hydrophobicity of walnut protein, potentially enhancing protease accessibility and facilitating the release of α-glucosidase-inhibitory peptides. In total, 4492 peptides were identified by LC-MS/MS, from which 20 candidate peptides were prioritized using a BIOPEP-aided, two-stage in silico workflow. Molecular docking was subsequently used to compare the predicted binding modes and docking scores of selected peptides with α-glucosidase. The peptides FFPGSP, FGPSQPF, and APSKDAPMF were synthesized and experimentally validated. Their IC

Indexed as

alpha-GlucosidasesGlycoside Hydrolase InhibitorsJuglansPeptidesUltrasonic WavesAmino Acid SequenceHydrolysisMolecular Docking Simulationalpha-GlucosidasesGlycoside Hydrolase InhibitorsPeptidesJuglans sigillata D.Ultrasound-shear-assisted enzymatic hydrolysisα-Glucosidase inhibitory activityα-Glucosidase-inhibitory peptides

Identifiers

PMID42700766
PMCPMC13673472

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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.