Evidence map›Paper›PMID 39920500›Full record

ReviewWorld journal of microbiology & biotechnology2025

Microbial production systems and optimization strategies of antimicrobial peptides: a review.

Mengxue Lou, Shuaiqi Ji, Rina Wu, Yi Zhu, Junrui Wu, Jiachao Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of microbiology & biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Mengxue Lou *College of Food Science, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China.
Shuaiqi Ji *College of Food Science, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China.
Rina WuCollege of Food Science, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China.
Yi ZhuCollege of Food Science, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China.
Junrui WuCollege of Food Science, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China. junruiwu@126.com.ORCID https://orcid.org/0000-0003-3419-0108
Jiachao ZhangSchool of Food Science and Engineering, Hainan University, Haikou, Hainan, 570228, People's Republic of China. jiachao@hainanu.edu.cn.ORCID https://orcid.org/0000-0001-8099-6749

Funding

Shenyang Science and technology innovation platform project 21-104-0-28the National Natural Science Foundation of China 32172279
6 · The paper itself

Abstract

Antibiotic resistance has become a public safety issue of the twenty-first century, posing a growing threat and drawing increased attention. Compared to traditional antibiotics, antimicrobial peptides (AMPs), as naturally produced small peptides, can target multiple pathways within pathogens and render them less prone to developing resistance. This makes them promising alternatives to antibiotics. However, traditional chemical synthesis methods face challenges, such as high costs, low yields, and poor stability, limiting the large-scale industrial production of AMPs. Despite extensive research to improve AMP production efficiency, issues such as low yields and complex extraction processes continue to pose significant barriers to commercial application. Therefore, there is an urgent need for new biosynthesis strategies and optimization methods to enhance AMP production efficiency and quality. This review summarizes the sources, classification, mechanisms of action and recent advances in the microbial synthesis of AMPs. It also explores innovative production methods, including recombinant microbial expression systems, fusion tags, codon optimization, tandem multimer expression, and hybrid peptide expression. Furthermore, we review the applications of gene editing technologies and artificial intelligence in AMP production, providing new perspectives and strategies for efficient, large-scale AMP production.

Indexed as

Antimicrobial PeptidesIndustrial MicrobiologyAnti-Bacterial AgentsArtificial IntelligenceBacteriaGene EditingAnti-Bacterial AgentsAntimicrobial PeptidesAntimicrobial peptidesArtificial intelligenceCRISPRMicrobial synthesis

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.