Evidence map›Paper›PMID 32778104›Full record

ArticleBMC veterinary research2020

Cul o 2 specific IgG3/5 antibodies predicted Culicoides hypersensitivity in a group imported Icelandic horses.

Fahad Raza, Renata Ivanek, Heather Freer, Dania Reiche, Horst Rose, Sigurbjörg Torsteinsdóttir, Vilhjálmur Svansson, Sigríður Björnsdóttir, Bettina Wagner

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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  4. Frontiers in immunology · 2024
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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

9 authors at 4 institutions in 3 countries.

Fahad RazaDepartments of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
Renata IvanekDepartments of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
Heather FreerDepartments of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
Dania ReicheBoehringer Ingelheim Vetmedica, 55216, Ingelheim, Germany.
Horst RoseBoehringer Ingelheim Vetmedica, 55216, Ingelheim, Germany.
Sigurbjörg TorsteinsdóttirInstitute for Experimental Pathology, University of Iceland, Keldnavegur 3, 112 Reykjavik, Keldur, Iceland.
Vilhjálmur SvanssonInstitute for Experimental Pathology, University of Iceland, Keldnavegur 3, 112 Reykjavik, Keldur, Iceland.
Sigríður BjörnsdóttirIcelandic Food and Veterinary Authority, MAST, Office of Animal Health and Welfare, 800, Selfoss, Iceland.
Bettina WagnerDepartments of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA. bw73@cornell.edu.ORCID http://orcid.org/0000-0003-2370-6324
Cornell University · USBoehringer Ingelheim (Germany) · DEUniversity of Iceland · ISIcelandic Transport Authority · IS

Funding

Boehringer Ingelheim NAHarry M. Zweig Memorial Fund for Equine Research NANational Institute of Food and Agriculture #2005-01812
6 · The paper itself

Abstract

backgroundCulicoides hypersensitivity (CH) is induced in horses by salivary allergens of Culicoides midges. In Iceland, the causal Culicoides species for CH are not present. Previous epidemiological data indicated that Icelandic horses are more susceptible to CH when they are exported from Iceland and first exposed to Culicoides at adult age. Horses born in countries where Culicoides is endemic, develop the disease less frequently. Here, we established a longitudinal allergy model to identify predictive and diagnostic serological biomarkers of CH.

resultsSixteen adult Icelandic horses from Iceland were imported to the Northeastern United States (US) during the winter and were kept in the same environment with natural Culicoides exposure for the next two years. None of the horses showed clinical allergy during the first summer of Culicoides exposure. In the second summer, 9/16 horses (56%) developed CH. Allergen specific IgE and IgG isotype responses in serum samples were analysed using nine potential Culicoides allergens in a fluorescent bead-based multiplex assay. During the first summer of Culicoides exposure, while all horses were still clinically healthy, Cul o 2 specific IgG3/5 antibodies were higher in horses that developed the allergic disease in the second summer compared to those that did not become allergic (p = 0.043). The difference in Cul o 2 specific IgG3/5 antibodies between the two groups continued to be detectable through fall (p = 0.035) and winter of the first year. During the second summer, clinical signs first appeared and Cul o 3 specific IgG3/5 isotypes were elevated in allergic horses (p = 0.041). Cul o 2 specific IgG5 (p = 0.035), and Cul o 3 specific IgG3/5 (p = 0.043) were increased in late fall of year two when clinical signs started to improve again.

conclusionsOur results identified IgG5 and IgG3/5 antibodies against Cul o 2 and Cul o 3, respectively, as markers for CH during and shortly after the allergy season in the Northeastern US. In addition, Cul o 2 specific IgG3/5 antibodies may be valuable as a predictive biomarker of CH in horses that have been exposed to Culicoides but did not yet develop clinical signs.

Indexed as

AnimalsCeratopogonidaeFemaleHorse DiseasesHorsesHypersensitivityImmunoglobulin EImmunoglobulin GInsect Bites and StingsLongitudinal StudiesMaleNew YorkSeasonsImmunoglobulin EImmunoglobulin GAllergyBiomarkersClinical scoreCulicoides hypersensitivityHorseIgEIgGImmunologically naïveMajor allergens

Identifiers

PMID32778104
PMCPMC7418374
OpenAlexW3048665599

What OpenQuestion holds

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LicenceCC BY
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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.