Literature DB >> 18371243

Measuring immune system variation to help understand host-pathogen community dynamics.

J E Bradley1, J A Jackson.   

Abstract

Carefully chosen immunological measurements, informed by recent advances in our understanding of the diversity and control of immune mechanisms, can add great interpretative value to ecological studies of infection. This is especially so for co-infection studies, where interactions between species are often mediated via the host's immune response. Here we consider how immunological measurements can strengthen inference in different types of co-infection analysis. In particular, we identify how measuring immune response variables in field studies can help reveal inter-species interactions otherwise obscured by confounding processes operating on count or prevalence data. Furthermore, we suggest that, due to the difficulty of quantifying microbial pathogen communities in field studies, innate responses against broad pathogen types (mediated by pattern response receptors) may be useful quantitative markers of exposure to bacteria and viruses. An ultimate goal of ecological co-infection studies may also be to understand how dynamics within host-parasite assemblages emerge from trade-offs involving different arms of the immune system. We reflect on the phenotypic measures that might best represent levels of responsiveness and bias in immune function. These include mediators associated with different T-helper cell subsets and innate responses controlled by pattern response receptors, such as the Toll-like receptors (TLRs).

Mesh:

Year:  2008        PMID: 18371243     DOI: 10.1017/S0031182008000322

Source DB:  PubMed          Journal:  Parasitology        ISSN: 0031-1820            Impact factor:   3.234


  28 in total

1.  Parasite and host assemblages: embracing the reality will improve our knowledge of parasite transmission and virulence.

Authors:  Thierry Rigaud; Marie-Jeanne Perrot-Minnot; Mark J F Brown
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2.  The history of ecoimmunology and its integration with disease ecology.

Authors:  Patrick M Brock; Courtney C Murdock; Lynn B Martin
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Journal:  Oecologia       Date:  2012-03-20       Impact factor: 3.225

4.  Pathogen diversity and hidden regimes of apparent competition.

Authors:  Sarah Cobey; Marc Lipsitch
Journal:  Am Nat       Date:  2012-11-27       Impact factor: 3.926

5.  Associations between innate immune function and ectoparasites in wild rodent hosts.

Authors:  Evelyn C Rynkiewicz; Hadas Hawlena; Lance A Durden; Michael W Hastriter; Gregory E Demas; Keith Clay
Journal:  Parasitol Res       Date:  2013-02-17       Impact factor: 2.289

6.  Coevolution between multiple helminth infestations and basal immune investment in mammals: cumulative effects of polyparasitism?

Authors:  Frédéric Bordes; Serge Morand
Journal:  Parasitol Res       Date:  2009-09-16       Impact factor: 2.289

7.  Macroimmunology: The drivers and consequences of spatial patterns in wildlife immune defence.

Authors:  Daniel J Becker; Gregory F Albery; Maureen K Kessler; Tamika J Lunn; Caylee A Falvo; Gábor Á Czirják; Lynn B Martin; Raina K Plowright
Journal:  J Anim Ecol       Date:  2020-01-26       Impact factor: 5.091

8.  Effects of Endotoxin and Psychological Stress on Redox Physiology, Immunity and Feather Corticosterone in Greenfinches.

Authors:  Richard Meitern; Elin Sild; Mari-Ann Lind; Marju Männiste; Tuul Sepp; Ulvi Karu; Peeter Hõrak
Journal:  PLoS One       Date:  2013-06-21       Impact factor: 3.240

9.  Temporal anomalies in immunological gene expression in a time series of wild mice: signature of an epidemic?

Authors:  Ida M Friberg; Ann Lowe; Catriona Ralli; Janette E Bradley; Joseph A Jackson
Journal:  PLoS One       Date:  2011-05-23       Impact factor: 3.240

10.  Immunomodulatory parasites and toll-like receptor-mediated tumour necrosis factor alpha responsiveness in wild mammals.

Authors:  Joseph A Jackson; Ida M Friberg; Luke Bolch; Ann Lowe; Catriona Ralli; Philip D Harris; Jerzy M Behnke; Janette E Bradley
Journal:  BMC Biol       Date:  2009-04-22       Impact factor: 7.431

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