Evidence map›Paper›PMID 42450468›Full record

ReviewFoods (Basel, Switzerland)2026

Food-Derived Multi-Target Antihypertensive Peptides: Sources, Mechanisms and AI-Driven Strategies.

Miao Zhang, Haiyang Liu, Yinuo Wang, Guodong Yu, Mengyao Liu, Zhichao Lu, Fengjiao Mao, Zhen Wu, Daodong Pan, Maolin Tu

Abstract readReview
PubMed Full text at PMC Publisher
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

10 authors.

Miao ZhangState Key Laboratory for Quality and Safety of Agro-Products, Zhejiang Key Laboratory of Food Microbiology and Nutritional Health, Zhejiang-Malaysia Joint Research Laboratory for Agricultural Product Processing and Nutrition, College of Food Science and Engineering, Ningbo University, Ningbo 315211, China.
Haiyang LiuState Key Laboratory for Quality and Safety of Agro-Products, Zhejiang Key Laboratory of Food Microbiology and Nutritional Health, Zhejiang-Malaysia Joint Research Laboratory for Agricultural Product Processing and Nutrition, College of Food Science and Engineering, Ningbo University, Ningbo 315211, China.
Yinuo WangState Key Laboratory for Quality and Safety of Agro-Products, Zhejiang Key Laboratory of Food Microbiology and Nutritional Health, Zhejiang-Malaysia Joint Research Laboratory for Agricultural Product Processing and Nutrition, College of Food Science and Engineering, Ningbo University, Ningbo 315211, China.
Guodong YuState Key Laboratory for Quality and Safety of Agro-Products, Zhejiang Key Laboratory of Food Microbiology and Nutritional Health, Zhejiang-Malaysia Joint Research Laboratory for Agricultural Product Processing and Nutrition, College of Food Science and Engineering, Ningbo University, Ningbo 315211, China.
Mengyao LiuKey Laboratory of Geriatric Nutrition and Health, Beijing Technology and Business University, Beijing 100048, China.ORCID 0009-0004-5379-872X
Zhichao LuSchool of Biological and Materials Engineering, Suqian University, Suqian 223800, China.
Fengjiao MaoSchool of Biological and Materials Engineering, Suqian University, Suqian 223800, China.
Zhen WuState Key Laboratory for Quality and Safety of Agro-Products, Zhejiang Key Laboratory of Food Microbiology and Nutritional Health, Zhejiang-Malaysia Joint Research Laboratory for Agricultural Product Processing and Nutrition, College of Food Science and Engineering, Ningbo University, Ningbo 315211, China.ORCID 0000-0002-3607-6440
Daodong PanState Key Laboratory for Quality and Safety of Agro-Products, Zhejiang Key Laboratory of Food Microbiology and Nutritional Health, Zhejiang-Malaysia Joint Research Laboratory for Agricultural Product Processing and Nutrition, College of Food Science and Engineering, Ningbo University, Ningbo 315211, China.
Maolin TuState Key Laboratory for Quality and Safety of Agro-Products, Zhejiang Key Laboratory of Food Microbiology and Nutritional Health, Zhejiang-Malaysia Joint Research Laboratory for Agricultural Product Processing and Nutrition, College of Food Science and Engineering, Ningbo University, Ningbo 315211, China.ORCID 0000-0003-3417-9443

Funding

Ningbo Yongjiang Talent Introduction Programme 2022A-158-Gthe Cross-Innovation Open Project of Food Flavor and Health, Beijing Technology & Business University FFHCI-2025002the Student Research and Innovation Program of Ningbo University in 2026.
6 · The paper itself

Abstract

Hypertension is a major global public health challenge. Traditional antihypertensive drugs often cause side effects, which has prompted growing interest in natural antihypertensive agents. However, most existing antihypertensive peptides target single pathways, thereby constraining their effectiveness against hypertension's complex mechanisms. In contrast, multi-target peptides modulate complex hypertension-related networks, offering enhanced blood pressure control and reduced resistance risks. This narrative review comprehensively summarizes the latest research progress on multi-target antihypertensive peptides, including their main food sources (animal, plant, and microorganism sources) and bioactive mechanisms. In addition, this review also describes the process of artificial intelligence (AI) and network pharmacology-driven multi-target antihypertensive peptide screening, and summarizes the machine learning (ML) models and activity prediction websites that have been applied to antihypertensive peptide screening. Finally, this review explores the challenges and future directions in multi-target antihypertensive peptide research, thereby providing a theoretical basis for the development of novel multi-target antihypertensive peptides.

Indexed as

artificial intelligencehypertensionmolecular dockingmulti-target antihypertensive peptidesnetwork pharmacology

Identifiers

PMID42450468
PMCPMC13361392

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.