Evidence map›Paper›PMID 29652925›Full record

ArticlePLoS biology2018

The ecology of immune state in a wild mammal, Mus musculus domesticus.

Stephen Abolins, Luke Lazarou, Laura Weldon, Louise Hughes, Elizabeth C King, Paul Drescher, Michael J O Pocock, Julius C R Hafalla, Eleanor M Riley, Mark Viney

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Divergent age-related changes in parasite infection occur independently of behaviour and demography in a wild ungulate.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Social association predicts immunological similarity in rewilded mice.bioRxiv : the preprint server for biology · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Health Monitoring of Laboratory Rodent Colonies-Talking about (R)evolution.Animals : an open access journal from MDPI · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Stephen AbolinsSchool of Biological Sciences, University of Bristol, Bristol, United Kingdom.
Luke LazarouSchool of Biological Sciences, University of Bristol, Bristol, United Kingdom.
Laura WeldonSchool of Biological Sciences, University of Bristol, Bristol, United Kingdom.
Louise HughesSchool of Biological Sciences, University of Bristol, Bristol, United Kingdom.
Elizabeth C KingDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Paul DrescherSchool of Biological Sciences, University of Bristol, Bristol, United Kingdom.
Michael J O PocockCentre for Ecology & Hydrology, Wallingford, Oxfordshire, United Kingdom.
Julius C R HafallaDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Eleanor M RileyDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Mark VineySchool of Biological Sciences, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-4857-1238
University of Bristol · GBLondon School of Hygiene & Tropical Medicine · GBRoslin Institute · GBUK Centre for Ecology & Hydrology · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune state of wild animals is largely unknown. Knowing this and what affects it is important in understanding how infection and disease affects wild animals. The immune state of wild animals is also important in understanding the biology of their pathogens, which is directly relevant to explaining pathogen spillover among species, including to humans. The paucity of knowledge about wild animals' immune state is in stark contrast to our exquisitely detailed understanding of the immunobiology of laboratory animals. Making an immune response is costly, and many factors (such as age, sex, infection status, and body condition) have individually been shown to constrain or promote immune responses. But, whether or not these factors affect immune responses and immune state in wild animals, their relative importance, and how they interact (or do not) are unknown. Here, we have investigated the immune ecology of wild house mice-the same species as the laboratory mouse-as an example of a wild mammal, characterising their adaptive humoral, adaptive cellular, and innate immune state. Firstly, we show how immune variation is structured among mouse populations, finding that there can be extensive immune discordance among neighbouring populations. Secondly, we identify the principal factors that underlie the immunological differences among mice, showing that body condition promotes and age constrains individuals' immune state, while factors such as microparasite infection and season are comparatively unimportant. By applying a multifactorial analysis to an immune system-wide analysis, our results bring a new and unified understanding of the immunobiology of a wild mammal.

Indexed as

Adaptive ImmunityImmunity, HumoralImmunity, InnateAnimalsAnimals, WildBiological Variation, PopulationDendritic CellsEcologyFemaleFlea InfestationsGenetic VariationHost-Parasite InteractionsLymphocytesMaleMiceMultivariate Analysis

Identifiers

PMID29652925
PMCPMC5919074
OpenAlexW2797910661

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.