ArticleMicrobiome2024
Screening and identification of antimicrobial peptides from the gut microbiome of cockroach Blattella germanica.
Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Host metabolism shapes the intestinal microbiota: a top-down paradigm of environmental selection pressure.Gut microbes · 2026Review
- Metagenomic screening of antimicrobial peptide candidates and isolation of two active peptides from bat gut bacteria.World journal of microbiology & biotechnology · 2026Article
- Goat gut microbiome as a reservoir for microorganism-encoded short peptides: regulation by host development age and nematode challenge.NPJ biofilms and microbiomes · 2026Article
- SET-M33 peptide as a selectiveMicrobiology spectrum · 2026Article
- Genome and Secondary Metabolites Analysis ofJournal of fungi (Basel, Switzerland) · 2026Article
- Precise Construction of an Antimicrobial Peptide Targeting Bacterial Cell Membranes Derived From Natural Peptides.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Identification of antimicrobial peptides from ancient gut microbiomes.Nature communications · 2026Article
- Genome-centric metagenomes unveiling microbial functional potential in a glacier river in the Mount everest.World journal of microbiology & biotechnology · 2026Article
- Machine learning-driven discovery of antimicrobial peptides againstFrontiers in pharmacology · 2026Article
- mbSparse: an autoencoder-based imputation method to address sparsity in microbiome data.Gut microbes · 2025Article
- Integration of pre-trained protein language models with equivariant graph neural networks for peptide toxicity prediction.BMC biology · 2025Article
- ConsAMPHemo: A computational framework for predicting hemolysis of antimicrobial peptides based on machine learning approaches.Protein science : a publication of the Protein Society · 2025Article
- AI-Driven Antimicrobial Peptide Discovery: Mining and Generation.Accounts of chemical research · 2025Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe overuse of antibiotics has led to lethal multi-antibiotic-resistant microorganisms around the globe, with restricted availability of novel antibiotics. Compared to conventional antibiotics, evolutionarily originated antimicrobial peptides (AMPs) are promising alternatives to address these issues. The gut microbiome of Blattella germanica represents a previously untapped resource of naturally evolving AMPs for developing antimicrobial agents.
resultsUsing the in-house designed tool "AMPidentifier," AMP candidates were mined from the gut microbiome of B. germanica, and their activities were validated both in vitro and in vivo. Among filtered candidates, AMP1, derived from the symbiotic microorganism Blattabacterium cuenoti, demonstrated broad-spectrum antibacterial activity, low cytotoxicity towards mammalian cells, and a lack of hemolytic effects. Mechanistic studies revealed that AMP1 rapidly permeates the bacterial cell and accumulates intracellularly, resulting in a gradual and mild depolarization of the cell membrane during the initial incubation period, suggesting minimal direct impact on membrane integrity. Furthermore, observations from fluorescence microscopy and scanning electron microscopy indicated abnormalities in bacterial binary fission and compromised cell structure. These findings led to the hypothesis that AMP1 may inhibit bacterial cell wall synthesis. Furthermore, AMP1 showed potent antibacterial and wound healing effects in mice, with comparable performances of vancomycin.
conclusionsThis study exemplifies an interdisciplinary approach to screening safe and effective AMPs from natural biological tissues, and our identified AMP 1 holds promising potential for clinical application.
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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 Socratic graph.