将外宿主噬菌体疗法作为防治环境传染病的生物控制手段。

Q1 Mathematics
Ilona Merikanto, Jouni T Laakso, Veijo Kaitala
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引用次数: 0

摘要

背景:环境中生长的病原体对人类健康、野生动物和食品生产的威胁与日俱增。用抗生素或寄生噬菌体治疗宿主,并不能消除在宿主外环境中生长的疾病。然而,噬菌体可以用来抑制宿主外环境中的病原体种群数量,以防止疾病爆发。在这里,我们引入了一种新型流行病学模型,以评估噬菌体感染细菌病原体如何影响环境中生长的病原体的流行动态。我们评估了外部宿主环境中的噬菌体疗法是否可以作为一种生物控制方法来防治这些疾病。我们还考虑了抗噬菌体的竞争者如何影响结果,这也是噬菌体疗法中的一个常见问题。这些模型预测了外宿主噬菌体疗法在哪些情况下会起作用,在哪些情况下会无法控制疾病。该模型的参数设置基于给全球水产养殖业造成重大经济损失的鱼柱蛔虫病。不过,该模型也适用于其他环境中生长的细菌性疾病:噬菌体的传播率决定了传染病控制的成败,高传播率噬菌体能使宿主种群恢复,而在没有噬菌体的情况下,宿主种群会因疾病而逐渐灭绝。在病原体与噬菌体抗性菌株之间存在外部-宿主细菌竞争的情况下,病原体感染性与噬菌体抗性之间的权衡决定了噬菌体疗法从稳定共存到局部宿主灭绝的结果:我们认为,噬菌体疗法的成功与否在很大程度上取决于基本生物学原理,如病原体感染性与噬菌体抗性之间的权衡,以及噬菌体感染细菌的速度。我们的研究结果表明,如果存在噬菌体抗性细菌,且病原体感染性与噬菌体抗性之间的权衡不能完全抑制病原体感染性,那么噬菌体疗法就会失败。此外,噬菌体感染细菌的速率应足够高,噬菌体疗法才能成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Outside-host phage therapy as a biological control against environmental infectious diseases.

Outside-host phage therapy as a biological control against environmental infectious diseases.

Outside-host phage therapy as a biological control against environmental infectious diseases.

Outside-host phage therapy as a biological control against environmental infectious diseases.

Background: Environmentally growing pathogens present an increasing threat for human health, wildlife and food production. Treating the hosts with antibiotics or parasitic bacteriophages fail to eliminate diseases that grow also in the outside-host environment. However, bacteriophages could be utilized to suppress the pathogen population sizes in the outside-host environment in order to prevent disease outbreaks. Here, we introduce a novel epidemiological model to assess how the phage infections of the bacterial pathogens affect epidemiological dynamics of the environmentally growing pathogens. We assess whether the phage therapy in the outside-host environment could be utilized as a biological control method against these diseases. We also consider how phage-resistant competitors affect the outcome, a common problem in phage therapy. The models give predictions for the scenarios where the outside-host phage therapy will work and where it will fail to control the disease. Parameterization of the model is based on the fish columnaris disease that causes significant economic losses to aquaculture worldwide. However, the model is also suitable for other environmentally growing bacterial diseases.

Results: Transmission rates of the phage determine the success of infectious disease control, with high-transmission phage enabling the recovery of the host population that would in the absence of the phage go asymptotically extinct due to the disease. In the presence of outside-host bacterial competition between the pathogen and phage-resistant strain, the trade-off between the pathogen infectivity and the phage resistance determines phage therapy outcome from stable coexistence to local host extinction.

Conclusions: We propose that the success of phage therapy strongly depends on the underlying biology, such as the strength of trade-off between the pathogen infectivity and the phage-resistance, as well as on the rate that the phages infect the bacteria. Our results indicate that phage therapy can fail if there are phage-resistant bacteria and the trade-off between pathogen infectivity and phage resistance does not completely inhibit the pathogen infectivity. Also, the rate that the phages infect the bacteria should be sufficiently high for phage-therapy to succeed.

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来源期刊
Theoretical Biology and Medical Modelling
Theoretical Biology and Medical Modelling MATHEMATICAL & COMPUTATIONAL BIOLOGY-
自引率
0.00%
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0
审稿时长
6-12 weeks
期刊介绍: Theoretical Biology and Medical Modelling is an open access peer-reviewed journal adopting a broad definition of "biology" and focusing on theoretical ideas and models associated with developments in biology and medicine. Mathematicians, biologists and clinicians of various specialisms, philosophers and historians of science are all contributing to the emergence of novel concepts in an age of systems biology, bioinformatics and computer modelling. This is the field in which Theoretical Biology and Medical Modelling operates. We welcome submissions that are technically sound and offering either improved understanding in biology and medicine or progress in theory or method.
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