ArticlePlant foods for human nutrition (Dordrecht, Netherlands)2024
Identification and Function Analysis of Novel Hypoglycemic and Antioxidant Peptides from Chickpea.
Article in Plant foods for human nutrition (Dordrecht, Netherlands), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Identification of VAYPQCV, a Gastrointestinally Stable Competitive DPP-IV Inhibitory Peptide from Bitter Leaf (Vernonia amygdalina).Plant foods for human nutrition (Dordrecht, Netherlands) · 2026Article
- Cationic and Anionic Peptides from Sheepskin Collagen as Effective Salt Substitutes for Improving the Quality of Low-Sodium Surimi Gels.Foods (Basel, Switzerland) · 2026Article
- Bioactive Plant Peptides: Physicochemical Features, Structure-Function Insights and Mechanism of Action.Molecules (Basel, Switzerland) · 2025Review
- Pro-Arg, The Potential Anti-Diabetes Peptide, Screened from Almond by In-Silico Analysis.Plant foods for human nutrition (Dordrecht, Netherlands) · 2025Article
- Antioxidant Function and Application of Plant-Derived Peptides.Antioxidants (Basel, Switzerland) · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Chickpea is rich in protein and has been demonstrated to possess hypoglycaemic effects. However, the specific bioactive ingredients and mechanisms underlying their hypoglycaemic effects remain unclear. In this study, enzymatic hydrolysis and gel permeation chromatography were used to extract chickpea bioactive peptide (CBP) from chickpea protein. One of the products, CBP-75-3, was found to inhibit α-glucosidase (GAA) activity and significantly increase the viability of insulin resistant (IR) cells. Moreover, CBP-75-3 significantly increased the rate of glucose consumption and glycogen synthesis in IR-HepG2 cells. Moreover, CBP-75-3 decreased the levels of malondialdehyde and increased the levels of superoxide dismutase, glutathione, and glutathione peroxidase. Subsequently, 29 novel bioactive peptides in CBP-75-3 were identified by LC‒MS/MS, and the potential hypoglycaemic targets of these novel bioactive peptides were investigated using molecular docking. Based on the results, the residues of the novel bioactive peptides interact with GAA through hydrogen bonding (especially LLR, FH, RQLPR, KGF and NFQ by binding to the substrate binding pocket or the active centre of GAA), thereby inhibiting GAA activity and laying a foundation for its hypoglycaemic activity. In short, the novel bioactive peptides isolated and identified from chickpea can effectively exert hypoglycaemic effects and increase the antioxidant capacity of IR-HepG2 cells. This study reveals that CBP-75-3, a natural hypoglycaemic ingredient, has potential for applications in functional foods and provides a theoretical basis for the development and application of CBP in the future.
Indexed as
Identifiers
39153161What OpenQuestion holds
Registered trials
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.