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免疫衰老:衰老如何增加对细菌感染和毒力因子的易感性。

Immunosenescence: How Aging Increases Susceptibility to Bacterial Infections and Virulence Factors.

作者信息

Theodorakis Nikolaos, Feretzakis Georgios, Hitas Christos, Kreouzi Magdalini, Kalantzi Sofia, Spyridaki Aikaterini, Kollia Zoi, Verykios Vassilios S, Nikolaou Maria

机构信息

Department of Cardiology, Amalia Fleming General Hospital, 14, 25th Martiou Str., 15127 Melissia, Greece.

65+ Clinic, Amalia Fleming General Hospital, 14, 25th Martiou Str., 15127 Melissia, Greece.

出版信息

Microorganisms. 2024 Oct 11;12(10):2052. doi: 10.3390/microorganisms12102052.

Abstract

The process of aging leads to a progressive decline in the immune system function, known as immunosenescence, which compromises both innate and adaptive responses. This includes impairments in phagocytosis and decreased production, activation, and function of T- and B-lymphocytes, among other effects. Bacteria exploit immunosenescence by using various virulence factors to evade the host's defenses, leading to severe and often life-threatening infections. This manuscript explores the complex relationship between immunosenescence and bacterial virulence, focusing on the underlying mechanisms that increase vulnerability to bacterial infections in the elderly. Additionally, it discusses how machine learning methods can provide accurate modeling of interactions between the weakened immune system and bacterial virulence mechanisms, guiding the development of personalized interventions. The development of vaccines, novel antibiotics, and antivirulence therapies for multidrug-resistant bacteria, as well as the investigation of potential immune-boosting therapies, are promising strategies in this field. Future research should focus on how machine learning approaches can be integrated with immunological, microbiological, and clinical data to develop personalized interventions that improve outcomes for bacterial infections in the growing elderly population.

摘要

衰老过程会导致免疫系统功能逐渐衰退,即免疫衰老,这会损害先天性和适应性免疫反应。这包括吞噬作用受损以及T淋巴细胞和B淋巴细胞的产生、激活和功能下降等其他影响。细菌通过使用各种毒力因子来利用免疫衰老,以逃避宿主的防御,从而导致严重且往往危及生命的感染。本文探讨了免疫衰老与细菌毒力之间的复杂关系,重点关注增加老年人易受细菌感染的潜在机制。此外,还讨论了机器学习方法如何能够准确模拟免疫系统减弱与细菌毒力机制之间的相互作用,为个性化干预措施的开发提供指导。开发针对多重耐药细菌的疫苗、新型抗生素和抗毒力疗法,以及研究潜在的免疫增强疗法,是该领域很有前景的策略。未来的研究应聚焦于如何将机器学习方法与免疫学、微生物学和临床数据相结合,以开发个性化干预措施,改善不断增加的老年人群体中细菌感染的治疗效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1de5/11510421/ad97bc9f04dc/microorganisms-12-02052-g001.jpg

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