• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

来自非免疫蛋白的肽通过抗菌和免疫调节特性靶向感染。

Peptides from non-immune proteins target infections through antimicrobial and immunomodulatory properties.

作者信息

Torres Marcelo D T, Cesaro Angela, de la Fuente-Nunez Cesar

机构信息

Machine Biology Group, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA; Department of Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA; Department of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA; Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA.

Machine Biology Group, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA; Department of Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA; Department of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA; Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA.

出版信息

Trends Biotechnol. 2025 Jan;43(1):184-205. doi: 10.1016/j.tibtech.2024.09.008. Epub 2024 Oct 28.

DOI:10.1016/j.tibtech.2024.09.008
PMID:
39472252
Abstract

Encrypted peptides (EPs) have been recently described as a new class of antimicrobial molecules. They have been found in numerous organisms and have been proposed to have a role in host immunity and as alternatives to conventional antibiotics. Intriguingly, many of these EPs are found embedded in proteins unrelated to the immune system, suggesting that immunological responses extend beyond traditional host immunity proteins. To test this idea, we synthesized and analyzed representative peptides derived from non-immune human proteins for their ability to exert antimicrobial and immunomodulatory properties. Most of the tested peptides from non-immune proteins, derived from structural proteins as well as proteins from the nervous and visual systems, displayed potent in vitro antimicrobial activity. These molecules killed bacterial pathogens by targeting their membrane, and those originating from the same region of the body exhibited synergistic effects when combined. Beyond their antimicrobial properties, nearly 90% of the peptides tested exhibited immunomodulatory effects, modulating inflammatory mediators, such as interleukin (IL)-6, tumor necrosis factor (TNF)-α, and monocyte chemoattractant protein-1 (MCP-1). Moreover, eight of the peptides identified, collagenin-3 and 4, zipperin-1 and 2, and immunosin-2, 3, 12, and 13, displayed anti-infective efficacy in two different preclinical mouse models, reducing bacterial infections by up to four orders of magnitude. Altogether, our results support the hypothesis that peptides from non-immune proteins may have a role in host immunity. These results potentially expand our notion of the immune system to include previously unrecognized proteins and peptides that may be activated upon infection to confer protection to the host.

摘要

加密肽(EPs)最近被描述为一类新型抗菌分子。它们在许多生物体中都有发现,并被认为在宿主免疫中发挥作用,可作为传统抗生素的替代品。有趣的是,许多这类EPs被发现嵌入与免疫系统无关的蛋白质中,这表明免疫反应超出了传统的宿主免疫蛋白范围。为了验证这一想法,我们合成并分析了源自非免疫人类蛋白质的代表性肽,以研究它们发挥抗菌和免疫调节特性的能力。大多数来自非免疫蛋白质的测试肽,包括源自结构蛋白以及神经和视觉系统蛋白的肽,都表现出强大的体外抗菌活性。这些分子通过靶向细菌膜来杀死细菌病原体,并且源自身体同一区域的肽在组合时表现出协同作用。除了抗菌特性外,近90%的测试肽还表现出免疫调节作用,可调节炎症介质,如白细胞介素(IL)-6、肿瘤坏死因子(TNF)-α和单核细胞趋化蛋白-1(MCP-1)。此外,鉴定出的8种肽,即胶原蛋白-3和4、拉链蛋白-1和2以及免疫球蛋白-2、3、12和13,在两种不同的临床前小鼠模型中显示出抗感染功效,可将细菌感染减少多达四个数量级。总之,我们的结果支持这样一种假设,即来自非免疫蛋白质的肽可能在宿主免疫中发挥作用。这些结果可能会扩展我们对免疫系统的认识,将以前未被认识的蛋白质和肽包括在内,这些蛋白质和肽可能在感染时被激活以保护宿主。

相似文献

1
Peptides from non-immune proteins target infections through antimicrobial and immunomodulatory properties.来自非免疫蛋白的肽通过抗菌和免疫调节特性靶向感染。
Trends Biotechnol. 2025 Jan;43(1):184-205. doi: 10.1016/j.tibtech.2024.09.008. Epub 2024 Oct 28.
2
Peptides from non-immune proteins target infections through antimicrobial and immunomodulatory properties.来自非免疫蛋白的肽通过抗菌和免疫调节特性靶向感染。
bioRxiv. 2024 Apr 8:2024.03.25.586636. doi: 10.1101/2024.03.25.586636.
3
Antibiofilm activity of host defence peptides: complexity provides opportunities.宿主防御肽的抗生物膜活性:复杂性提供了机会。
Nat Rev Microbiol. 2021 Dec;19(12):786-797. doi: 10.1038/s41579-021-00585-w. Epub 2021 Jun 28.
4
An anti-infective synthetic peptide with dual antimicrobial and immunomodulatory activities.一种具有双重抗菌和免疫调节活性的抗感染合成肽。
Sci Rep. 2016 Nov 2;6:35465. doi: 10.1038/srep35465.
5
Antimicrobial and Immunomodulatory Properties and Applications of Marine-Derived Proteins and Peptides.海洋源蛋白质和肽的抗菌和免疫调节特性及应用。
Mar Drugs. 2019 Jun 12;17(6):350. doi: 10.3390/md17060350.
6
Endogenous Antimicrobial-Immunomodulatory Molecules: Networking Biomolecules of Innate Immunity.内源性抗菌免疫调节分子:固有免疫的网络生物分子。
Chembiochem. 2024 Jun 17;25(12):e202400089. doi: 10.1002/cbic.202400089. Epub 2024 Jun 3.
7
Mining for encrypted peptide antibiotics in the human proteome.在人类蛋白质组中挖掘加密的肽抗生素。
Nat Biomed Eng. 2022 Jan;6(1):67-75. doi: 10.1038/s41551-021-00801-1. Epub 2021 Nov 4.
8
Dhvar5- and MSI78-coated titanium are bactericidal against methicillin-resistant Staphylococcus aureus, immunomodulatory and osteogenic.涂覆有Dhvar5和MSI78的钛对耐甲氧西林金黄色葡萄球菌具有杀菌作用,具有免疫调节和成骨作用。
Acta Biomater. 2025 Jan 1;191:98-112. doi: 10.1016/j.actbio.2024.11.016. Epub 2024 Nov 13.
9
A family of antimicrobial and immunomodulatory peptides related to the frenatins from skin secretions of the Orinoco lime frog Sphaenorhynchus lacteus (Hylidae).一族与奥里诺科乳蛙(雨蛙科)皮肤分泌物中的弗勒纳汀相关的抗菌和免疫调节肽。
Peptides. 2014 Jun;56:132-40. doi: 10.1016/j.peptides.2014.03.020. Epub 2014 Apr 4.
10
Roles of NET Peptides With Known Antimicrobial Activity and Toxicity in Immune Response.具有已知抗菌活性和毒性的中性粒细胞胞外诱捕网肽在免疫反应中的作用
J Immunol Res. 2024 Dec 27;2024:5528446. doi: 10.1155/jimr/5528446. eCollection 2024.

引用本文的文献

1
Deep learning reveals antibiotics in the archaeal proteome.深度学习揭示古菌蛋白质组中的抗生素
Nat Microbiol. 2025 Aug 12. doi: 10.1038/s41564-025-02061-0.
2
Computational exploration of global venoms for antimicrobial discovery with Venomics artificial intelligence.利用毒液组学人工智能对抗菌药物发现进行全球毒液的计算探索。
Nat Commun. 2025 Jul 12;16(1):6446. doi: 10.1038/s41467-025-60051-6.
3
Proteasome-derived antimicrobial peptides discovered via deep learning.通过深度学习发现的蛋白酶体衍生抗菌肽。
bioRxiv. 2025 Jun 3:2025.03.17.643752. doi: 10.1101/2025.03.17.643752.
4
AI-Driven Antimicrobial Peptide Discovery: Mining and Generation.人工智能驱动的抗菌肽发现:挖掘与生成
Acc Chem Res. 2025 Jun 17;58(12):1831-1846. doi: 10.1021/acs.accounts.0c00594. Epub 2025 Jun 3.
5
Tutorial: guidelines for the use of machine learning methods to mine genomes and proteomes for antibiotic discovery.教程:使用机器学习方法挖掘基因组和蛋白质组以发现抗生素的指南。
Nat Protoc. 2025 May 14. doi: 10.1038/s41596-025-01144-w.
6
Antimicrobial peptide developed with machine learning sequence optimization targets drug resistant Staphylococcus aureus in mice.通过机器学习序列优化开发的抗菌肽可靶向小鼠体内的耐药金黄色葡萄球菌。
J Clin Invest. 2025 Apr 22;135(12). doi: 10.1172/JCI185430. eCollection 2025 Jun 16.
7
Cell-autonomous innate immunity by proteasome-derived defence peptides.蛋白酶体衍生防御肽介导的细胞自主固有免疫
Nature. 2025 Mar;639(8056):1032-1041. doi: 10.1038/s41586-025-08615-w. Epub 2025 Mar 5.
8
Generative latent diffusion language modeling yields anti-infective synthetic peptides.生成式潜在扩散语言建模产生抗感染合成肽。
bioRxiv. 2025 Feb 1:2025.01.31.636003. doi: 10.1101/2025.01.31.636003.
9
Venomics AI: a computational exploration of global venoms for antibiotic discovery.毒液组学人工智能:用于抗生素发现的全球毒液的计算探索。
bioRxiv. 2024 Dec 20:2024.12.17.628923. doi: 10.1101/2024.12.17.628923.
10
Discovery of antibiotics in the archaeome using deep learning.利用深度学习在古菌组中发现抗生素。
bioRxiv. 2024 Nov 16:2024.11.15.623859. doi: 10.1101/2024.11.15.623859.