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Vespa velutina nigrithorax venom allergy: inhibition studies approach for the choice of specific immunotherapy

2022· article· en· W4311348083 on OpenAlexaff
V. Grossi, Mariagrazia Severino, A. Massolo, M. Infantino, F. Infantino, D. Macchia, E. Meucci, B. Pantera, A. Ebbli, F. Fumagalli, Barbara LARI, A. Perri, I. Liotti, G. Ciotta, G. Terenzi, S.V. Valeva, Matthew J. Consolati, T. Folgore, M. Manfredi

Bibliographic record

VenueEuropean Annals of Allergy and Clinical Immunology · 2022
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsVenomImmunoglobulin EMedicineStingAllergyImmunologyImmunotherapyImmunoassayPharmacologyAntibodyBiologyImmune systemBiochemistry

Abstract

fetched live from OpenAlex

Background.Vespa velutina nigrithorax (VVN), commonly known as Asian wasp because endemic in Asia, represents an alien species in Europe.VVN can induce allergic reactions similar to those caused by other Hymenoptera and death after VVN stings, presumably due to fatal allergic reactions, has been reported.In the treatment of Hymenoptera venom hypersensitivity, specific immunotherapy (VIT) is highly effective.Currently, there is no specific available VIT for VVN, so it is relevant to assess if patients stung by VVN and showing allergic reactions could be treated with the Hymenoptera commercially available extracts Vespa crabro (VC) and Vespula spp.(Vspp) or if they need the specific VIT with VVN venom extract.Methods.Four patients with a clinical history of systemic reactions after VVN sting were evaluated.Serum specific IgE were assayed quantitatively with an automated fluoro-enzyme immunoassay ImmunoCAP™ Specific IgE by Phad-ia™ 1000 System (Thermo Fisher Scientific, Uppsala, Sweden) for VC, Vspp and VVN.Cap inhibition assays were performed incubating serum samples with 200 μl of each venom at increasing concentrations and subsequently specific IgE against each of the venoms were determined in the samples by Phadia™ 250 System (Thermo Fisher Scientific, Uppsala, Sweden).Results.Our results suggested that both Vspp and VC venoms were able to inhibit the specific IgE for VVN, although the VC compared to the Vspp venom showed a higher inhibition.Conclusions.Our inhibition studies suggested that VIT with VC venom, nowadays when there is not specific available VIT for VVN, may be more effective than Vspp VIT in patients with VVN sting reactions.Impact statement Since it is currently not available VIT for VVN, our results suggested that VIT with VC venom may be more effective in patients with VVN sting reaction. StatisticsThe differences in the mean inhibition in percentage between VC against VVN and Vspp against VVN were tested using a t-test for paired samples (27) at each dosage.Similarly, at each dosage, the coherence between the values in the inhibition assay was assessed by a Pearson Linear Correlation (28).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.197
GPT teacher head0.416
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations7
Published2022
Admission routes1
Has abstractyes

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