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Record W4382795970 · doi:10.1002/clt2.12272

In chronic spontaneous urticaria soluble FcεRI is elevated and linked to atopy and chronic inducible urticaria

2023· letter· en· W4382795970 on OpenAlexaffabout
Sherezade Moñino‐Romero, Pavel Kolkhir, Zsolt Szépfalusi, Nicole Schoepke, Martin Metz, Riccardo Asero, Marta Ferrer, Ana M. Giménez‐Arnau, Clive Grattan, Thilo Jakob, George Ν. Konstantinou, Ulrike Raap, Petra Staubach, Ke Zhang, Carsten Bindslev‐Jensen, Álvaro Daschner, Tamar Kinaciyan, Μichael Μakris, Nadine Marrouche, Peter Schmid‐Grendelmeier, Gordon Sussman, Elias Toubi, Marcus Maurer, Sabine Altrichter

Bibliographic record

VenueClinical and Translational Allergy · 2023
Typeletter
Languageen
FieldMedicine
TopicUrticaria and Related Conditions
Canadian institutionsAllerGenUniversity of Toronto
FundersFlorida Agricultural Experiment StationGenentechParkinson Study GroupCelldex TherapeuticsGaldermaAimmune TherapeuticsThermo Fisher ScientificAstraZenecaCSL BehringOctapharmaAbbVieBeiersdorfSanofiRocheCelgeneUCB PharmaRegeneron PharmaceuticalsNovartisAmgenPfizerDeutsche ForschungsgemeinschaftChiesi EspañaGlaxoSmithKline
KeywordsMedicineImmunoglobulin ESensitizationAutoantibodyAtopyAllergyImmunologyBiomarkerClinical significanceAntibodyInternal medicine

Abstract

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To the Editor, Chronic Spontaneous Urticaria (CSU) is caused by the activation of skin mast cells (MCs) by various signals including IgG and IgE autoantibodies in autoimmune (type IIb) and autoallergic CSU, respectively.1, 2 Tests for autoallergic CSU are needed but not available for routine clinical use. Elevated total IgE has been proposed as a biomarker, but study results are inconsistent3, 4 and total IgE levels in autoallergic CSU may be elevated due to comorbid sensitization rather than the presence of pathogenetically relevant IgE autoantibodies. Upon IgE-mediated activation, MCs release the soluble isoform of the high affinity IgE receptor (sFcɛRI), which results in increased serum levels.5 Serum sFcɛRI levels have been demonstrated to be elevated and linked to disease activity in patients with IgE-driven allergies,6-8 and they are easy to implement in routine clinical practice with commercially available assays. The use of serum sFcεRI in classical allergies has been demonstrated to provide useful information on the clinical relevance of IgE sensitization. Whether or not sFcɛRI levels are elevated in patients with CSU, linked to their total IgE, and associated with clinical features of their disease is currently unknown. To address this, we measured sFcεRI levels retrospectively in the sera of 290 CSU patients and 29 healthy non-atopic controls (HCs; Table E1 and Online Repository). Patients with CSU had significantly higher sFcεRI serum levels (median ± IQR: 1.9 ± 62.9 ng/mL) than HCs (1 ± 0.1 ng/mL, p < 0.0001; Figure 1A). Half of the CSU patients (47%, 135/290) but only 10% (3/29) of HCs had elevated sFcεRI levels (>2 ng/mL; Table E1). We used the previously established cut-off for sFcεRI (2 ng/mL) because it defined clinically relevant IgE-sensitization in an allergic cohort.6 Comparison of serum sFcɛRI (A) and total IgE (B) levels in Chronic Spontaneous Urticaria (CSU) patients and HCs. Serum sFcɛRI levels were compared in CSU patients with low (<40 IU/mL) and normal plus elevated (>40 IU/mL) total IgE levels (C) with and without comorbid atopy (D), endotypes (non-, part- and type IIb, E) or concomitant CIndU (F). Bars represent the median and error bars represent IQR. Mann-Whitney test was performed; *p < 0.05, **p < 0.01 and ***p < 0.001. CIndU: chronic inducible urticaria; CSU: chronic spontaneous urticaria; HC: healthy controls; IQR: interquartile range. Total IgE levels (Figure 1B) were also significantly higher in CSU patients (93 ± 1401 IU/mL) than HCs (21 ± 379 IU/mL, p < 0.0001) and significantly correlated with sFcεRI levels, albeit weakly (r = 0.176, p < 0.005). Chronic Spontaneous Urticaria patients with normal and elevated IgE (>40 IU/mL) versus low IgE (<40 IU/mL) had significantly higher sFcεRI levels (p < 0.005; Figure 1C). Vice versa, patients with elevated versus normal sFcɛRI levels had more IgE (104 ± 1401 vs. 90 ± 655 IU/mL; p = 0.05; Table 1 and Figure E1G). Virtually all serum s was IgE-bound (r = 0.974, p < 0.0001; Figure E1A). sFcɛRI levels in CSU patients were not linked to age or gender, disease duration or activity, angioedema, or ASST (Figure E1 and Table 1), but were significantly higher in those with comorbid atopy (p < 0.05) or chronic inducible urticaria (CIndU, p < 0.05; Online Repository, Figure 1D,F). Vice versa, rates of comorbid atopy and CIndU were higher in patients with elevated sFcεRI levels (p < 0.01; Table 1). There was a trend toward lower sFcɛRI levels in type IIb CSU patients (Figure 1E) defined as triple positivity of autologous serum skin test, basophil tests and presence of IgG autoantibodies by immunoassay (Online Repository). Patients with features of type IIb (triple positive test) or part-type IIb (at least one positive test) autoimmune CSU were analyzed in the previously reported PURIST study.9 Our study, the first on sFcɛRI in CSU, demonstrates that sFcɛRI is elevated in CSU and linked to total IgE and comorbidities. This supports the idea that IgE is a major driver of MC degranulation in CSU, where patients have IgE autoantibodies, for example, IgE to thyroid peroxidase, rather than relevant IgE to allergens. About half of the CSU patients have IgE autoantibodies, similar to the rate of patients with elevated sFcɛRI in our study. Based on our findings, we hypothesize that sFcɛRI may be a suitable marker for autoallergic CSU since it is solely released upon IgE-mediated crosslinking, that is, in patients with relevant IgE sensitization. This retrospective analysis has several limitations and further research is ongoing to address the many questions raised by our findings. sFcɛRI levels need to be assessed and compared in CSU patients with and without IgE autoantibodies, and human skin MCs should be investigated for their release of sFcɛRI following activation by IgE versus IgG autoantibodies. Our findings strongly suggest, but do not prove, that sFcɛRI is a biomarker for autoallergic CSU. As such, it may aid individualized treatment in routine clinical practice. SMR conceptualization, methodology, formal analysis, investigation, writing – original draft, and visualization. PK methodology and formal analysis. ZS, NS, MMetz, RA, MF, AGA, CEHG, TJ, GNK, UR, PS, KZ, CBJ, AD, TK, MMakris, NM, PSG, GS and ET writing – review and editing and project administration. MMaurer and SA conceptualization, writing – original draft, supervision, project administration and funding acquisition. This study and the development of our report benefitted from the exchange of ideas and interactions with the members of the GA2LEN network of Urticaria Centers of Reference and Excellence (UCARE; www.ga2len-ucare.com) and the PURIST study leaders. We want to thank Edward Knoll and all the members of the study teams for their contribution in patient recruitment in the PURIST study. We thank Beate Schinzel for assistance with preparing and submitting the manuscript. SMR was supported by EFIS-IL Fellowship. PK and SMR were supported by a GA2LEN fellowship. This project benefitted from the support of the GA2LEN network of urticaria centers of reference and excellence (UCAREs; www.ga2len-ucare.com). UR was funded by a grant from the DFG: RA-1026/3-2 (FOR2690-PruSEARCH Translational Pruritus Research). Open Access funding enabled and organized by Projekt DEAL. SMR, NS, KZ, CBJ, AD, NM and ET have no conflicts of interest. PK was a speaker and/or consultant for Novartis, Roche and ValenzaBio. ZS is or recently was a speaker and/or advisor for Sanofi, Novartis, Nutricia, and AImmune. MMetz has received honoraria as a speaker and/or consultant for Amgen, AstraZeneca, argenx, Celldex, Escient, Jasper Therapeutics, Novartis, Pharvaris, Sanofi-Aventis, ThirdHarmonicBio. RA is or recently was a speaker and/or advisor for Novartis, ThermoFisher, Sanofi/Genzyme, Menarini, Malesci, GSK. MF has received honoraria (advisory board, speaker) from Novartis, Menarini, Uriach, FAES, Pfizer. MSD and has received a research Grant from GSK and Novartis. AGA or recently was a speaker and/or advisor for and/or has received research funding from Almirall, Amgen, AstraZeneca, Avene, Celldex, Escient Pharmaceuticals, Genentech, GSK, Instituto Carlos III- FEDER, Leo Pharma, Menarini, Novartis, Sanofi–Regeneron, Thermo Fisher Scientific, Uriach Pharma/Neucor. CEHG has done consultancy work recently for Celltrion and Sanofi. TJ or recently was a speaker and/or advisor for and/or has received research funding from ALK-Abello, Allergy Therapeutics/Bencard, Novartis and Thermo-Fisher Scientific. GNK or recently was a speaker and/or advisor for and/or has received research funding from AstraZeneca, Chiesi, GSK, Menarinin, Novartis, Pfizer, Sanofi, Vianex. UR is or recently was a speaker and/or advisor for Almirall, Abbvie, Janssen, Sanofi, Novartis and UCB. PS is or recently was a speaker and/or advisor for and/or has received research funding from AbbVie, Allergika, Almirall-Hermal, Amgen, Beiersdorf, Biocryst, BMS, Boehringer-Ingelheim, Celgene, CSL-Behring, Eli-Lilly, Galderma, Hexal, Janssen, Klinge, Klosterfrau, LEO-Pharma, LETI-Pharma, L´Oreal, Novartis, Octapharma, Pfizer, Pflüger, Pharming, Regeneron, Shire, Takeda, Regeneron, Sanofi-Genzyme and UCB Pharma. TK, Tamar Kinaciyan is or recently was a speaker and/or advisor for and/or has received research funding from ALK, Sanofi/Regeneron, Novartis, CSL Behring, Biocryst, Takeda and KalVista. MMakris is or recently was a speaker and/or advisor for and/or has received research funding from Astra Zeneca, Chiesi, GSK, Novartis, Pfizer, Sanofi, Menarini, Elpen, Vianex. PSG or recently was a speaker and/or advisor for and/or has received research funding from AbbVie, Aimmune, ALK-Abello, Amgen, AstraZeneca, Bencard, Biomed, Bühlmann Diagnostics, Galderma, GlaxoSmithKline, Jansen, LEO, Lilly, L`Oréal, Menarini, Novartis, Pfizer, Pierre Fabre, Roche Pharma, Sanofi Regerenon, Stallergenes and Thermo Fisher. GS is also a medical advisor and/or has received payment for lectures from Novartis, CSL Behring, Pfizer, Abvie, Astra-Zeneca, Nuvo Pharmaceuticals, and the Allergy Asthma and Immunology Society of Ontario. MMaurer is or recently was a speaker and/or advisor for and/or has received research funding from Allakos, Amgen, Aralez, ArgenX, AstraZeneca, Celldex, Centogene, CSL Behring, FAES, Genentech, GIInnovation, GSK, Innate Pharma, Kyowa Kirin, Leo Pharma, Lilly, Menarini, Moxie, Novartis, Pfizer, Roche, Sanofi/Regeneron, Third Harmonic Bio, UCB, and Uriach. SA or recently was a speaker and/or advisor for and/or has received research funding from AstraZeneca, Allakos, Biocryst, CSL Behring, Sanofi, Takeda, ThermoFisher, Moxie and Novartis. Deutsche Forschungsgemeinschaft, Grant/Award Number: RA-1026/3-2 The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.371
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.002
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 head0.044
GPT teacher head0.325
Teacher spread0.281 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations3
Published2023
Admission routes2
Has abstractyes

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