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Environmental microbiome, human fungal pathogens, and antimicrobial resistance.环境微生物组、人类真菌病原体与抗菌药物耐药性
Trends Microbiol. 2025 Jan;33(1):112-129. doi: 10.1016/j.tim.2024.08.003. Epub 2024 Sep 19.
3
Advancements in peptide-based antimicrobials: A possible option for emerging drug-resistant infections.肽类抗菌剂的研究进展:应对新兴耐药感染的一种可能选择。
Adv Colloid Interface Sci. 2024 Nov;333:103282. doi: 10.1016/j.cis.2024.103282. Epub 2024 Sep 6.
4
In vivo overexpression of the avian interleukin-17 in a necrotic enteritis disease model modulates the expression of antimicrobial peptides in the small intestine of broilers.在坏死性肠炎疾病模型中体内过表达禽白细胞介素-17 可调节肉鸡小肠中抗菌肽的表达。
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Deep mutational scanning and machine learning for the analysis of antimicrobial-peptide features driving membrane selectivity.利用深度突变扫描和机器学习分析驱动膜选择性的抗菌肽特征。
Nat Biomed Eng. 2024 Jul;8(7):842-853. doi: 10.1038/s41551-024-01243-1. Epub 2024 Jul 31.
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Deep-learning-enabled antibiotic discovery through molecular de-extinction.通过分子复活实现基于深度学习的抗生素发现。
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Discovery of antimicrobial peptides in the global microbiome with machine learning.利用机器学习在全球微生物组中发现抗菌肽。
Cell. 2024 Jul 11;187(14):3761-3778.e16. doi: 10.1016/j.cell.2024.05.013. Epub 2024 Jun 5.
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抗耐药病原体的抗菌肽和蛋白质。

Antimicrobial peptides and proteins against drug-resistant pathogens.

作者信息

Wang Yeji, Song Minghui, Chang Wenqiang

机构信息

Department of Natural Product Chemistry, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China.

出版信息

Cell Surf. 2024 Nov 27;12:100135. doi: 10.1016/j.tcsw.2024.100135. eCollection 2024 Dec.

DOI:10.1016/j.tcsw.2024.100135
PMID:39687062
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11646788/
Abstract

The rise of drug-resistant pathogens, driven by the misuse and overuse of antibiotics, has created a formidable challenge for global public health. Antimicrobial peptides and proteins have garnered considerable attention as promising candidates for novel antimicrobial agents. These bioactive molecules, whether derived from natural sources, designed synthetically, or predicted using artificial intelligence, can induce lethal effects on pathogens by targeting key microbial structures or functional components, such as cell membranes, cell walls, biofilms, and intracellular components. Additionally, they may enhance overall immune defenses by modulating innate or adaptive immune responses in the host. Of course, development of antimicrobial peptides and proteins also face some limitations, including high toxicity, lack of selectivity, insufficient stability, and potential immunogenicity. Despite these challenges, they remain a valuable resource in the fight against drug-resistant pathogens. Future research should focus on overcoming these limitations to fully realize the therapeutic potential of antimicrobial peptides in the infection control.

摘要

抗生素的滥用和过度使用导致耐药病原体的出现,这给全球公共卫生带来了巨大挑战。抗菌肽和蛋白质作为新型抗菌剂的有前途的候选者,已引起了相当大的关注。这些生物活性分子,无论是源自天然来源、人工合成设计还是使用人工智能预测的,都可以通过靶向关键的微生物结构或功能成分(如细胞膜、细胞壁、生物膜和细胞内成分)对病原体产生致死作用。此外,它们还可以通过调节宿主的固有免疫或适应性免疫反应来增强整体免疫防御。当然,抗菌肽和蛋白质的开发也面临一些限制,包括高毒性、缺乏选择性、稳定性不足和潜在的免疫原性。尽管存在这些挑战,但它们仍然是对抗耐药病原体的宝贵资源。未来的研究应专注于克服这些限制,以充分实现抗菌肽在感染控制中的治疗潜力。