Evidence map›Paper›PMID 40155374›Full record

ArticleNature communications2025

Large-scale biosynthetic analysis of human microbiomes reveals diverse protective ribosomal peptides.

Jian Zhang, Dengwei Zhang, Yi Xu, Junliang Zhang, Runze Liu, Ying Gao, Yuqi Shi, Peiyan Cai, Zheng Zhong, Beibei He and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Co-opting the bacterial lipoprotein pathway for the biosynthesis of lipidated macrocyclic peptides.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Structure, biosynthesis, and bioactivity of nostolysamides.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Biology · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
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

14 authors.

Jian Zhang *Department of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.ORCID http://orcid.org/0000-0003-0826-5129
Dengwei Zhang *Department of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Yi XuMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.ORCID http://orcid.org/0000-0003-4316-5297
Junliang ZhangDepartment of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Runze LiuDepartment of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Ying GaoDepartment of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Yuqi ShiDepartment of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Peiyan CaiDepartment of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.ORCID http://orcid.org/0000-0003-0084-9883
Zheng ZhongDepartment of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.ORCID http://orcid.org/0000-0002-1262-4115
Beibei HeDepartment of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.ORCID http://orcid.org/0000-0002-6034-7677
Xuechen LiDepartment of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.ORCID http://orcid.org/0000-0001-5465-7727
Hongwei ZhouMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
Muxuan ChenMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China. muxuanchen@126.com.ORCID http://orcid.org/0000-0002-8961-2649
Yong-Xin LiDepartment of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China. yxpli@hku.hk.ORCID http://orcid.org/0000-0003-4422-2302

Funding

Research Grants Council, University Grants Committee (RGC, UGC) C7014-24GF
6 · The paper itself

Abstract

The human microbiome produces diverse metabolites that influence host health, yet the chemical landscape of ribosomally synthesized and post-translationally modified peptides (RiPPs)-a versatile class of bioactive compounds-remains underexplored. Here, we conduct a large-scale biosynthetic analysis of 306,481 microbial genomes from human-associated microbiomes, uncovering a broad array of yet-to-be-discovered RiPPs. These RiPPs are distributed across various body sites but show a specific enrichment in the gut and oral microbiome. Big data omics analysis reveals that numerous RiPP families are inversely related to various diseases, suggesting their potential protective effects on health. For a proof of principle study, we apply the synthetic-bioinformatic natural product (syn-BNP) approach to RiPPs and chemically synthesize nine autoinducing peptides (AIPs) for in vitro and ex vivo assay. Our findings reveal that five AIPs effectively inhibit the biofilm formation of disease-associated pathogens. Furthermore, when ex vivo testing gut microbiota from mice with inflammatory bowel disease, we observe that two AIPs can regulate the microbial community and reduce harmful species. These findings highlight the vast potential of human microbial RiPPs in regulating microbial communities and maintaining human health, emphasizing their potential for therapeutic development.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaPeptidesRibosomal ProteinsRibosomesAnimalsBacteriaBiofilmsBiological ProductsHumansInflammatory Bowel DiseasesMiceProtein Processing, Post-TranslationalBiological ProductsPeptidesRibosomal Proteins

Identifiers

PMID40155374
PMCPMC11953309

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.