Evidence map›Paper›PMID 29531144›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2018

Livestock abundance predicts vampire bat demography, immune profiles and bacterial infection risk.

Daniel J Becker, Gábor Á Czirják, Dmitriy V Volokhov, Alexandra B Bentz, Jorge E Carrera, Melinda S Camus, Kristen J Navara, Vladimir E Chizhikov, M Brock Fenton, Nancy B Simmons and 4 more

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  12. Epidemiological connectivity between humans and animals across an urban landscape.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  13. Epidemiological connectivity between humans and animals across an urban landscape.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. Epidemiological connectivity between humans and animals across an urban landscape.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Review
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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

14 authors.

Daniel J BeckerOdum School of Ecology, University of Georgia, Athens, GA 30602, USA daniel.becker3@montana.edu.ORCID 0000-0003-4315-8628
Gábor Á CzirjákDepartment of Wildlife Diseases, Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany.
Dmitriy V VolokhovCenter for Biologics Evaluation & Research, U.S. Food & Drug Administration, Rockville, MD, USA.
Alexandra B BentzDepartment of Poultry Science, University of Georgia, Athens, GA, USA.ORCID 0000-0003-2445-4886
Jorge E CarreraFacultad de Ciencias, Universidad Nacional de Piura, Piura, Perú.
Melinda S CamusDepartment of Pathology, College of Veterinary Medicine, University of Georgia, Athens, GA, USA.
Kristen J NavaraDepartment of Poultry Science, University of Georgia, Athens, GA, USA.
Vladimir E ChizhikovCenter for Biologics Evaluation & Research, U.S. Food & Drug Administration, Rockville, MD, USA.
M Brock FentonDepartment of Biology, Western University, London, Ontario, Canada.
Nancy B SimmonsDepartment of Mammalogy, Division of Vertebrate Zoology, American Museum of Natural History, New York, NY, USA.
Sergio E RecuencoDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Universidad Nacional Mayor de San Marcos, Lima, Perú.
Amy T GilbertNational Wildlife Research Center, United States Department of Agriculture, Fort Collins, CO, USA.
Sonia AltizerOdum School of Ecology, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0001-9966-2773
Daniel G StreickerOdum School of Ecology, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0001-7475-2705

Funding

Medical Research Council MC_UU_12014/8Wellcome TrustWellcome Trust 102507/Z/13/Z
6 · The paper itself

Abstract

Human activities create novel food resources that can alter wildlife-pathogen interactions. If resources amplify or dampen, pathogen transmission probably depends on both host ecology and pathogen biology, but studies that measure responses to provisioning across both scales are rare. We tested these relationships with a 4-year study of 369 common vampire bats across 10 sites in Peru and Belize that differ in the abundance of livestock, an important anthropogenic food source. We quantified innate and adaptive immunity from bats and assessed infection with two common bacteria. We predicted that abundant livestock could reduce starvation and foraging effort, allowing for greater investments in immunity. Bats from high-livestock sites had higher microbicidal activity and proportions of neutrophils but lower immunoglobulin G and proportions of lymphocytes, suggesting more investment in innate relative to adaptive immunity and either greater chronic stress or pathogen exposure. This relationship was most pronounced in reproductive bats, which were also more common in high-livestock sites, suggesting feedbacks between demographic correlates of provisioning and immunity. Infection with both

Indexed as

Immunity, InnateAdaptive ImmunityAnimalsBartonellaBartonella InfectionsBelizeChiropteraEatingFemaleHost-Pathogen InteractionsImmunoglobulin GLivestockLymphocytesMaleMycoplasmaMycoplasma InfectionsImmunoglobulin GagricultureBartonellaecoimmunologyhaemoplasmasresource provisioningsupplemental feeding

Identifiers

PMID29531144
PMCPMC5882995

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.