加一 "策略会影响猫科动物甲型疱疹病毒 1、支原体和衣原体的复制,以及合并感染的猫科动物细胞的新陈代谢。

IF 5 2区 生物学 Q1 MICROBIOLOGY mSystems Pub Date : 2024-10-22 Epub Date: 2024-09-24 DOI:10.1128/msystems.00852-24
Sara M Klose, David P De Souza, Joanne M Devlin, Rhys Bushell, Glenn F Browning, Paola K Vaz
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引用次数: 0

摘要

众所周知,合并感染在疾病的发展和严重程度方面起着重要作用。合并感染在猫科动物中很常见,但还没有合并感染研究调查过猫科动物病毒和细菌病原体之间的体外动态。在这项研究中,我们进行了共培养和入侵试验,以研究常见猫科细菌呼吸道病原体(猫衣原体和猫支原体)在克兰代尔-里斯猫肾细胞中复制和入侵的能力。随后,我们研究了这些猫科动物细胞与每种细菌(猫嗜血杆菌或猫嗜血支原体)和常见猫科动物病毒病原体猫α疱疹病毒 1(FHV-1)共感染会如何影响每种病原体在该细胞培养系统中的复制。我们还利用感染细胞和共感染细胞的代谢组学分析研究了每种共病原体对代谢的影响。猫鼬噬菌体能够侵入 CRFK 并在其中复制,而猫鼬噬菌体则几乎没有侵入能力。在共感染过程中,FHV-1的复制受两种细菌病原体的影响都很小,但细菌复制动力学受到的影响较大,尤其是在M. felis中。在继发病原体存在的情况下,猫科动物和猫鼬的复制水平都较高。共感染导致糖酵解途径、磷酸戊糖途径和三羧酸循环的重新编程。与仅感染这三种病原体之一的细胞相比,共同感染细胞的代谢特征截然不同,共同感染对病毒或细菌载量的影响也截然不同,这表明这三种病原体之间存在强烈的相互作用,可能存在增强毒力的协同机制,需要进一步研究。 重要意义在自然界中,呼吸道病原体在宿主体内共存,但它们的动态和相互作用在很大程度上仍未得到探索。疱疹病毒、支原体和衣原体是导致动物和人类急慢性呼吸道疾病和系统疾病的常见重要原因,而且这些疾病越来越多地被发现是多微生物引起的。本研究探讨了猫的三种呼吸道病原体在猫细胞中的共感染如何相互影响以及宿主对感染的先天代谢反应。这些病原体都与诱发猫上呼吸道疾病有关,而猫上呼吸道疾病是导致收容所中猫安乐死的主要原因。了解合并感染如何影响共同发病机制和宿主反应对于改善疾病管理至关重要。
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A "plus one" strategy impacts replication of felid alphaherpesvirus 1, Mycoplasma and Chlamydia, and the metabolism of coinfected feline cells.

Coinfections are known to play an important role in disease progression and severity. Coinfections are common in cats, but no coinfection studies have investigated the in vitro dynamics between feline viral and bacterial pathogens. In this study, we performed co-culture and invasion assays to investigate the ability of common feline bacterial respiratory pathogens, Chlamydia felis and Mycoplasma felis, to replicate in and invade into Crandell-Rees feline kidney cells. We subsequently investigated how coinfection of these feline cells with each bacterium (C. felis or M. felis) and the common feline viral pathogen, felid alphaherpesvirus 1 (FHV-1), affects replication of each agent in this cell culture system. We also investigated the metabolic impact of each co-pathogen using metabolomic analysis of infected and coinfected cells. C. felis was able to invade and replicate in CRFKs, while M. felis had little capacity to invade. During coinfection, FHV-1 replication was minimally affected by the presence of either bacterial pathogen, but bacterial replication kinetics were more affected, particularly in M. felis. Both C. felis and M. felis replicated to higher levels in the presence of a secondary pathogen. Coinfections resulted in reprogramming of the glycolysis pathway, the pentose phosphate pathway, and the tricarboxylic acid cycle. The distinct metabolic profiles of coinfected cells compared to those of cells infected with just one of these three pathogens, as well as the impact of coinfections on viral or bacterial load, suggest strong interactions between these three pathogens and possible synergistic mechanisms enhancing virulence that need further investigation.IMPORTANCEIn the natural world, respiratory pathogens coexist within their hosts, but their dynamics and interactions remain largely unexplored. Herpesviruses, mycoplasmas, and chlamydias are common and significant causes of acute and chronic respiratory and system disease in animals and people, and these diseases are increasingly found to be polymicrobial. This study investigates how coinfection of feline cells between three respiratory pathogens of cats impact each other as well as the host innate metabolic response to infection. Each of these pathogens have been implicated in the induction of feline upper respiratory tract disease in cats, which is the leading cause of euthanasia in shelters. Understanding how coinfection impacts co-pathogenesis and host responses is critical for improving disease management.

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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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