Evidence map›Paper›PMID 36069010›Full record

ArticleProceedings. Biological sciences2022

Avian influenza antibody prevalence increases with mercury contamination in wild waterfowl.

Claire S Teitelbaum, Joshua T Ackerman, Mason A Hill, Jacqueline M Satter, Michael L Casazza, Susan E W De La Cruz, Walter M Boyce, Evan J Buck, John M Eadie, Mark P Herzog and 7 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.8field-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

11 citing papers in PubMed, 28 citations in OpenAlex.

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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

17 authors at 2 institutions in 1 country.

Claire S TeitelbaumAkima Systems Engineering, Herndon, VA, USA.ORCID 0000-0001-5646-3184
Joshua T AckermanU.S. Geological Survey Western Ecological Research Center, Dixon Field Station, Dixon, CA, USA.
Mason A HillU.S. Geological Survey Western Ecological Research Center, San Francisco Bay Estuary Field Station, Moffett Field, CA, USA.ORCID 0000-0001-9549-475X
Jacqueline M SatterUC Davis College of Agricultural and Environmental Sciences, Department of Wildlife, Fish, and Conservation Biology, Davis, CA, USA.
Michael L CasazzaU.S. Geological Survey Western Ecological Research Center, Dixon Field Station, Dixon, CA, USA.
Susan E W De La CruzU.S. Geological Survey Western Ecological Research Center, San Francisco Bay Estuary Field Station, Moffett Field, CA, USA.ORCID 0000-0001-6315-0864
Walter M BoyceUC Davis School of Veterinary Medicine, Davis, CA, USA.
Evan J BuckU.S. Geological Survey Eastern Ecological Science Center, Laurel, MD, USA.ORCID 0000-0003-0631-8901
John M EadieUC Davis College of Agricultural and Environmental Sciences, Department of Wildlife, Fish, and Conservation Biology, Davis, CA, USA.ORCID 0000-0001-9573-2703
Mark P HerzogU.S. Geological Survey Western Ecological Research Center, Dixon Field Station, Dixon, CA, USA.ORCID 0000-0002-5203-2835
Elliott L MatchettU.S. Geological Survey Western Ecological Research Center, Dixon Field Station, Dixon, CA, USA.
Cory T OvertonU.S. Geological Survey Western Ecological Research Center, Dixon Field Station, Dixon, CA, USA.ORCID 0000-0002-5060-7447
Sarah H PetersonU.S. Geological Survey Western Ecological Research Center, Dixon Field Station, Dixon, CA, USA.ORCID 0000-0003-2773-3901
Magdalena PlancarteUC Davis School of Veterinary Medicine, Davis, CA, USA.
Andrew M RameyU.S. Geological Survey Alaska Science Center, Anchorage, AK, USA.ORCID 0000-0002-3601-8400
Jeffery D SullivanU.S. Geological Survey Eastern Ecological Science Center, Laurel, MD, USA.
Diann J ProsserU.S. Geological Survey Eastern Ecological Science Center, Laurel, MD, USA.ORCID 0000-0002-5251-1799
United States Geological Survey · USUniversity of California, Davis · US

Funding

NIAID NIH HHS HHSN266200700010CNIAID NIH HHS HHSN272201400008C
6 · The paper itself

Abstract

Environmental contamination is widespread and can negatively impact wildlife health. Some contaminants, including heavy metals, have immunosuppressive effects, but prior studies have rarely measured contamination and disease simultaneously, which limits our understanding of how contaminants and pathogens interact to influence wildlife health. Here, we measured mercury concentrations, influenza infection, influenza antibodies and body condition in 749 individuals from 11 species of wild ducks overwintering in California. We found that the odds of prior influenza infection increased more than fivefold across the observed range of blood mercury concentrations, while accounting for species, age, sex and date. Influenza infection prevalence was also higher in species with higher average mercury concentrations. We detected no relationship between influenza infection and body fat content. This positive relationship between influenza prevalence and mercury concentrations in migratory waterfowl suggests that immunotoxic effects of mercury contamination could promote the spread of avian influenza along migratory flyways, especially if influenza has minimal effects on bird health and mobility. More generally, these results show that the effects of environmental contamination could extend beyond the geographical area of contamination itself by altering the prevalence of infectious diseases in highly mobile hosts.

Indexed as

Influenza, HumanInfluenza in BirdsMercuryAnimalsAnimals, WildAntibodies, ViralBirdsDucksHumansPrevalenceAntibodies, ViralMercuryavian influenzabody conditionduckenvironmental contaminantmercurywildlife health

Identifiers

PMID36069010
PMCPMC9449466
OpenAlexW4294916314

What OpenQuestion holds

Textmetadata
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.