Evidence map›Paper›PMID 33546688›Full record

ArticleBMC veterinary research2021

Immunoglobulin G1 subclass responses can be used to detect specific allergy to the house dust mites Dermatophagoides farinae and Dermatophagoides pteronyssinus in atopic dogs.

N Khantavee, C Chanthick, A Tungtrongchitr, N Techakriengkrai, S Suradhat, N Sookrung, S Roytrakul, N Prapasarakul

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 99% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
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

8 authors at 4 institutions in 1 country.

N KhantaveeDepartment of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University, 39 Henri-Dunant Road, Pathumwan, Bangkok, 10330, Thailand.
C ChanthickDermatology unit, Veterinary Teaching Hospital, Faculty of Veterinary Medicine, Kasetsart University, 50 Paholyothin Road, Ladyao, Chatuchuk, Bangkok, 10900, Thailand.
A TungtrongchitrDepartment of Parasitology, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkoknoi, Bangkok, 10700, Thailand.
N TechakriengkraiDepartment of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University, 39 Henri-Dunant Road, Pathumwan, Bangkok, 10330, Thailand.
S SuradhatDepartment of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University, 39 Henri-Dunant Road, Pathumwan, Bangkok, 10330, Thailand.
N SookrungDepartment of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkoknoi, Bangkok, 10700, Thailand.
S RoytrakulProteomics Research Laboratory, National Center for Genetic Engineering and Biotechnology (BIOTEC), Pathum Thani, 12120, Thailand.
N PrapasarakulDepartment of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University, 39 Henri-Dunant Road, Pathumwan, Bangkok, 10330, Thailand. Nuvee.P@chula.ac.th.ORCID http://orcid.org/0000-0001-6409-4622
Chulalongkorn University · THSiriraj Hospital · THKasetsart University · THNational Center for Genetic Engineering and Biotechnology · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn dogs with atopic dermatitis, intradermal testing (IDT) or allergen specific IgE serological testing are routinely employed to identify causative allergens. These allergens can then be used for allergen-specific immunotherapy and allergy management. The clinical relevance of this testing is affected by the source of allergen, and other biomarkers that are more related to specific allergens still need to be identified. The aim of this study was to investigate levels of specific IgE, total IgG, and IgG1 and IgG2 subclasses against the local house dust mites (HDM) Dermatophagoides farinae (DF) and D. pteronyssinus (DP) as biomarkers by using in-house ELISAs in healthy (n = 33) and atopic dogs (AD) (n = 44) that were either positive or negative by IDT to HDM.

resultsBeing over 3 years of age was a risk factor for AD (Odds Ratio (OD) = 4.10, 95% Confidence interval (CI) 1.57-10.75, p = 0.0049), but there was no relation to IDT outcomes (OR = 0.9091, 95% CI 0.22-3.74, p = 1.00). High levels of all antibody isotypes (IgE, IgG, IgG1 and IgG2) against HDM were found in aged healthy dogs (> 3 years old). In AD, HDM-IgE and IgG1 levels were higher in dogs that were IDT positive to HDM than in IDT negative animals. Levels of IgE and IgG1 could be used to distinguish the specific allergens, whereas total IgG and IgG2 levels were not different between IDT-positive and IDT-negative AD. By the receiver operating characteristic curve at a false-positive rate = 0.10, both IgE and IgG1 showed better sensitivity than IgG and IgG2. Similar to IgE, serum IgG1 concentration was also relevant to IDT outcomes.

conclusionsOur in-house ELISAs coated with local HDM were useful for evaluating antibody levels, and we propose use of the HDM-specific IgG1 subclass as a biomarker to detect HDM specific allergens in AD, potentially together with an IgE based platform.

Indexed as

AllergensAnimalsDermatitis, AtopicDermatophagoides farinaeDermatophagoides pteronyssinusDog DiseasesDogsEnzyme-Linked Immunosorbent AssayFemaleImmunoglobulin EImmunoglobulin GMaleSkin TestsAllergensImmunoglobulin EImmunoglobulin GAntibodyBiomarkerCanine atopic dermatitisHouse dust mitesImmunoglobulin G1 subclass

Identifiers

PMID33546688
PMCPMC7866685
OpenAlexW3126166926

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.