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尿路中的病原体非浮游相影响早期感染和耐药进化。

Pathogen non-planktonic phases within the urinary tract impact early infection and resistance evolution.

机构信息

Department of Theoretical Biology, Max Planck Institute for Evolutionary Biology, 24306 Plön, Germany.

Dioscuri Centre for Physics and Chemistry of Bacteria, Institute of Physical Chemistry (IChF), Polish Academy of Sciences, 01-224 Warsaw, Poland.

出版信息

ISME J. 2024 Jan 8;18(1). doi: 10.1093/ismejo/wrae191.

DOI:10.1093/ismejo/wrae191
PMID:39325970
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11499890/
Abstract

Treatment of urinary tract infections and the prevention of their recurrence is a pressing global health problem. In a urinary infection, pathogenic bacteria not only reside in the bladder lumen but also attach to and invade the bladder tissue. Planktonic, attached, and intracellular bacteria face different selection pressures from physiological processes such as micturition, immune response, and antibiotic treatment. Here, we use a mathematical model of the initial phase of infection to unravel the effects of these different selective pressures on the ecological and evolutionary dynamics of urinary infections. We explicitly model planktonic bacteria in the bladder lumen, bacteria attached to the bladder wall, and bacteria that have invaded the epithelial cells of the bladder. We find that the presence of non-planktonic bacteria substantially increases the risk of infection establishment and affects evolutionary trajectories leading to resistance during antibiotic treatment. We also show that competitive inoculation with a fast-growing non-pathogenic strain can reduce the pathogen load and increase the efficacy of an antibiotic, but only if the antibiotic is used in moderation. Our study shows that including different compartments is essential to create more realistic models of urinary infections, which may help guide new treatment strategies.

摘要

治疗尿路感染和预防其复发是一个紧迫的全球健康问题。在尿路感染中,致病菌不仅存在于膀胱腔中,还附着并侵袭膀胱组织。浮游、附着和细胞内细菌面临着来自排尿、免疫反应和抗生素治疗等生理过程的不同选择压力。在这里,我们使用感染初始阶段的数学模型来揭示这些不同的选择压力对尿路感染的生态和进化动态的影响。我们明确地对膀胱腔中的浮游细菌、附着在膀胱壁上的细菌和已经侵入膀胱上皮细胞的细菌进行建模。我们发现,非浮游细菌的存在大大增加了感染建立的风险,并影响了在抗生素治疗期间导致耐药性的进化轨迹。我们还表明,用快速生长的非致病性菌株进行竞争性接种可以减少病原体负荷并提高抗生素的疗效,但前提是抗生素使用适度。我们的研究表明,包括不同的隔室对于创建更现实的尿路感染模型至关重要,这可能有助于指导新的治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f718/11499890/ab4866de4dcf/wrae191f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f718/11499890/30bdd9449516/wrae191f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f718/11499890/95667e845f17/wrae191f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f718/11499890/fcce9043de73/wrae191f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f718/11499890/92756300e63a/wrae191f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f718/11499890/d8026bc0b6f2/wrae191f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f718/11499890/f5091625984e/wrae191f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f718/11499890/ab4866de4dcf/wrae191f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f718/11499890/30bdd9449516/wrae191f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f718/11499890/95667e845f17/wrae191f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f718/11499890/fcce9043de73/wrae191f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f718/11499890/92756300e63a/wrae191f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f718/11499890/d8026bc0b6f2/wrae191f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f718/11499890/f5091625984e/wrae191f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f718/11499890/ab4866de4dcf/wrae191f7.jpg

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本文引用的文献

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Uropathogens' Antibiotic Resistance Evolution in a Female Population: A Sequential Multi-Year Comparative Analysis.女性人群中尿路病原体的抗生素耐药性演变:一项多年序贯比较分析
Antibiotics (Basel). 2023 May 23;12(6):948. doi: 10.3390/antibiotics12060948.
2
Molecular Diagnostic Methods Versus Conventional Urine Culture for Diagnosis and Treatment of Urinary Tract Infection: A Systematic Review and Meta-analysis.分子诊断方法与传统尿培养用于诊断和治疗尿路感染的系统评价与Meta分析
Eur Urol Open Sci. 2022 Sep 2;44:113-124. doi: 10.1016/j.euros.2022.08.009. eCollection 2022 Oct.
3
The urinary microbiome and biological therapeutics: Novel therapies for urinary tract infections.
尿微生物组与生物治疗学:尿路感染的新型疗法。
Microbiol Res. 2022 Jun;259:127010. doi: 10.1016/j.micres.2022.127010. Epub 2022 Mar 20.
4
Population genetics, biofilm recalcitrance, and antibiotic resistance evolution.群体遗传学、生物膜抗逆性和抗生素耐药性进化。
Trends Microbiol. 2022 Sep;30(9):841-852. doi: 10.1016/j.tim.2022.02.005. Epub 2022 Mar 23.
5
Minimizing treatment-induced emergence of antibiotic resistance in bacterial infections.最大限度地减少细菌感染中治疗诱导的抗生素耐药性的产生。
Science. 2022 Feb 25;375(6583):889-894. doi: 10.1126/science.abg9868. Epub 2022 Feb 24.
6
Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis.2019 年全球细菌对抗菌药物耐药性的负担:系统分析。
Lancet. 2022 Feb 12;399(10325):629-655. doi: 10.1016/S0140-6736(21)02724-0. Epub 2022 Jan 19.
7
Dynamic persistence of UPEC intracellular bacterial communities in a human bladder-chip model of urinary tract infection.UPEC 细胞内细菌群落在人类膀胱芯片尿路感染模型中的动态持久性。
Elife. 2021 Jul 5;10:e66481. doi: 10.7554/eLife.66481.
8
Recurrent Urinary Tract Infection: A Mystery in Search of Better Model Systems.复发性尿路感染:寻找更好模型系统的谜团。
Front Cell Infect Microbiol. 2021 May 26;11:691210. doi: 10.3389/fcimb.2021.691210. eCollection 2021.
9
Fighting microbial pathogens by integrating host ecosystem interactions and evolution.通过整合宿主生态系统相互作用和进化来对抗微生物病原体。
Bioessays. 2021 Mar;43(3):e2000272. doi: 10.1002/bies.202000272. Epub 2020 Dec 30.
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