Analysis of a summary network of co-infection in humans reveals that parasites interact most via shared resources.
Analysis of a summary network of co-infection in humans reveals that parasites interact most via shared resources.
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DOI：
10.1098/rspb.2013.2286
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发表时间：
2014-05-07
期刊：
影响因子：
--
通讯作者：
Petchey OL
中科院分区：
文献类型：
--
作者：
Griffiths EC;Pedersen AB;Fenton A;Petchey OL
同时被多种寄生虫（病毒、细菌、蠕虫、原生动物或真菌）感染是很常见的。大多数报告显示，合并感染者的健康状况比单一感染者差。然而，我们对共同感染的寄生虫如何在人类宿主中相互作用知之甚少。我们使用了来自300多项已发表研究的数据来构建一个网络，该网络首次提供了共同感染寄生虫群体如何相互作用的广泛迹象。这个网络有三个层次，包括寄生虫、它们消耗的资源和它们引起的免疫反应，通过潜在的、观察到的和实验证明的联系联系在一起。成对的寄生虫物种最有可能通过共享资源间接相互作用，而不是通过免疫反应或其他寄生虫。此外，该网络由10个紧密结合的群体组成，其中8个与特定的身体部位有关，其中7个以寄生虫资源链接为主。因此，报告的人类合并感染是按身体内的物理位置构成的，自下而上、资源介导的过程最常影响合并感染寄生虫的相互作用方式、地点和种类。许多间接的相互作用表明，治疗一种感染如何影响合并感染患者的其他感染，但网络的分隔结构将限制这些间接影响可能传播的程度。
Simultaneous infection by multiple parasite species (viruses, bacteria, helminths, protozoa or fungi) is commonplace. Most reports show co-infected humans to have worse health than those with single infections. However, we have little understanding of how co-infecting parasites interact within human hosts. We used data from over 300 published studies to construct a network that offers the first broad indications of how groups of co-infecting parasites tend to interact. The network had three levels comprising parasites, the resources they consume and the immune responses they elicit, connected by potential, observed and experimentally proved links. Pairs of parasite species had most potential to interact indirectly through shared resources, rather than through immune responses or other parasites. In addition, the network comprised 10 tightly knit groups, eight of which were associated with particular body parts, and seven of which were dominated by parasite–resource links. Reported co-infection in humans is therefore structured by physical location within the body, with bottom-up, resource-mediated processes most often influencing how, where and which co-infecting parasites interact. The many indirect interactions show how treating an infection could affect other infections in co-infected patients, but the compartmentalized structure of the network will limit how far these indirect effects are likely to spread.
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影响因子：
3.7
作者：
Dalton T;Dowd SE;Wolcott RD;Sun Y;Watters C;Griswold JA;Rumbaugh KP
通讯作者：
Rumbaugh KP
影响因子：
9.6
作者：
Druilhe, P;Tall, A;Sokhna, C
通讯作者：
Sokhna, C
影响因子：
4.3
作者：
Faust K;Sathirapongsasuti JF;Izard J;Segata N;Gevers D;Raes J;Huttenhower C
通讯作者：
Huttenhower C
DOI：
10.1073/pnas.0912671107
发表时间：
2010-06-15
影响因子：
11.1
作者：
Foster, Jacob G.;Foster, David V.;Paczuski, Maya
通讯作者：
Paczuski, Maya
影响因子：
3.1
作者：
Cooper, PJ;Chico, M;Nutman, TB
通讯作者：
Nutman, TB