Evidence mapPaperPMID 42354055Full record

ReviewFoods (Basel, Switzerland)2026

Food-Derived Antidiabetic Peptides as Multi-Target Systemic Regulators: A Comprehensive Review of Sources, Preparation, Mechanisms and Future Perspectives.

Yiwei Yang, Ziwei Niu, Xiaohu Luo, Kang Chen, Xin Zhang, Lingling Jia

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Yiwei YangCollege of Food Science and Engineering, Ningbo University, Ningbo 315211, China.
Ziwei NiuCollege of Food Science and Engineering, Ningbo University, Ningbo 315211, China.
Xiaohu LuoCollege of Food Science and Engineering, Ningbo University, Ningbo 315211, China.ORCID 0000-0001-9129-0610
Kang ChenCollege of Food Science and Engineering, Ningbo University, Ningbo 315211, China.
Xin ZhangCollege of Food Science and Engineering, Ningbo University, Ningbo 315211, China.ORCID 0000-0002-5795-9197
Lingling JiaCollege of Food Science and Engineering, Ningbo University, Ningbo 315211, China.

Funding

National Natural Science Foundation of China 81901670Natural Science Foundation of Ningbo Municipality 2023J020Natural Science Foundation of Ningbo Municipality 2024J307Ningbo Science and Technology Bureau 2024Z184Ningbo University ZX2021000548Yongjiang Talent Introduction Programme (Young Talent sub-project) 2022A-159-G
6 · The paper itself

Abstract

Food-derived bioactive peptides have become a research hotspot in diabetes nutritional intervention due to their high safety, wide availability, and multi-target activities. This review addresses this by proposing a systems biology integration framework that defines these peptides as pleiotropic regulators of the gut microbiota-immune inflammation-metabolic signaling network, offering a novel systems-level perspective beyond previous reviews focused on single enzymes or pathways. The framework consists of three synergistic tiers. Tier 1 inhibits α-amylase, α-glucosidase or dipeptidyl peptidase-IV (DPP-IV) to control postprandial blood glucose. Tier 2 corrects insulin resistance by modulating phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt), activating nuclear factor erythroid 2-related factor 2 (Nrf2), and suppressing nuclear factor kappa-B (NF-κB). Tier 3 uses the gut as a hub to remotely coordinate metabolism via the gut-liver and gut-pancreas axes. The review also systematically summarizes the major sources and preparation methods of food-derived antidiabetic peptides, analyzes their advantages including multi-target network regulation, safety, and sustainability, as well as challenges such as oral bioavailability, insufficient clinical evidence, processing stability, and regulatory hurdles. Finally, it outlines future directions focusing on three actionable priorities: AI-assisted design, oral delivery systems, and high-quality clinical studies. This framework offers a new perspective for applying food-derived peptides in precision nutrition intervention for diabetes.

Indexed as

DPP-IV inhibitionfood-derived bioactive peptidesgut–pancreas axismulti-target network regulationshort-chain fatty acidstype 2 diabetes

Identifiers

PMID42354055
PMCPMC13297681

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.