Evidence map›Paper›PMID 28715431›Full record

ArticlePloS one2017

Colony Collapse Disorder (CCD) and bee age impact honey bee pathophysiology.

Dennis vanEngelsdorp, Kirsten S Traynor, Michael Andree, Elinor M Lichtenberg, Yanping Chen, Claude Saegerman, Diana L Cox-Foster

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
7.3field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 99 citations in OpenAlex.

  1. Article
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  9. Article
  10. Isolation and characterization ofSaudi journal of biological sciences · 2023
    Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Bees and pesticides: the research impact and scientometrics relations.Environmental science and pollution research international · 2021
    Review
  16. Characterization ofCells · 2021
    Review
  17. Article
  18. Resistance and Vulnerability of Honeybee (Frontiers in microbiology · 2021
    Article
  19. Article
  20. Article
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

7 authors at 4 institutions in 2 countries.

Dennis vanEngelsdorpDepartment of Entomology, Plant Science Building University of Maryland, College Park, Maryland, United States of America.ORCID http://orcid.org/0000-0002-2418-1753
Kirsten S TraynorDepartment of Entomology, Plant Science Building University of Maryland, College Park, Maryland, United States of America.
Michael AndreeCooperative Extension Butte County, University of California Cooperative Extension, Oroville, California, United States of America.
Elinor M LichtenbergDepartment of Entomology, Plant Science Building University of Maryland, College Park, Maryland, United States of America.
Yanping ChenUSDA-ARS, Bee Research Laboratory, Beltsville, Maryland, United States of America.
Claude SaegermanResearch Unit in Epidemiology and Risk Analysis applied to Veterinary Sciences (UREAR-ULg), Fundamental and Applied Research for Animal and Health (FARAH) Center, Faculty of Veterinary Medicine, University of Liège, Liège, Sart-Tilman, Belgium.
Diana L Cox-FosterUSDA-ARS-PWA, Pollinating Insect-Biol., Mgmt. Syst.- Research Unit, Logan, Utah, United States of America and Department of Entomology, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
University of Maryland, College Park · USPennsylvania State University · USUniversity of Arizona · USUniversity of Liège · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Honey bee (Apis mellifera) colonies continue to experience high annual losses that remain poorly explained. Numerous interacting factors have been linked to colony declines. Understanding the pathways linking pathophysiology with symptoms is an important step in understanding the mechanisms of disease. In this study we examined the specific pathologies associated with honey bees collected from colonies suffering from Colony Collapse Disorder (CCD) and compared these with bees collected from apparently healthy colonies. We identified a set of pathological physical characteristics that occurred at different rates in CCD diagnosed colonies prior to their collapse: rectum distension, Malpighian tubule iridescence, fecal matter consistency, rectal enteroliths (hard concretions), and venom sac color. The multiple differences in rectum symptomology in bees from CCD apiaries and colonies suggest effected bees had trouble regulating water. To ensure that pathologies we found associated with CCD were indeed pathologies and not due to normal changes in physical appearances that occur as an adult bee ages (CCD colonies are assumed to be composed mostly of young bees), we documented the changes in bees of different ages taken from healthy colonies. We found that young bees had much greater incidences of white nodules than older cohorts. Prevalent in newly-emerged bees, these white nodules or cellular encapsulations indicate an active immune response. Comparing the two sets of characteristics, we determined a subset of pathologies that reliably predict CCD status rather than bee age (fecal matter consistency, rectal distension size, rectal enteroliths and Malpighian tubule iridescence) and that may serve as biomarkers for colony health. In addition, these pathologies suggest that CCD bees are experiencing disrupted excretory physiology. Our identification of these symptoms is an important first step in understanding the physiological pathways that underlie CCD and factors impacting bee health.

Indexed as

AgingColony CollapseAnimalsBeesBiomarkersBiomarkers

Identifiers

PMID28715431
PMCPMC5513415
OpenAlexW2734330219

What OpenQuestion holds

Textmetadata
LicenceCC0
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.