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Enregistrement W4409779479 · doi:10.3389/falgy.2025.1601916

Editorial: Women in science: allergy research

2025· editorial· en· W4409779479 sur OpenAlexaff
Gemma Carreras-Badosa, Vanesa Esteban, Vivian Hernandez‐Trujillo, Elina Toskala, Manali Mukherjee, Saba Al Heialy, Karin B. Fieten

Notice bibliographique

RevueFrontiers in Allergy · 2025
Typeeditorial
Langueen
DomaineSocial Sciences
ThématiqueConferences and Exhibitions Management
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésAllergyMedicineDermatologyImmunology

Résumé

récupéré en direct d'OpenAlex

The Allergy research field has seen remarkable progress in recent decades. From elucidating the immunological mechanisms underlying allergic reactions to developing targeted therapies, advancements in this field have had a profound impact on public health worldwide. Amidst these achievements, the contributions of female scientists have often gone underrecognized. This editorial seeks to highlight the essential role women have played-and are still playing-in Allergy research.Historically, female scientists have faced numerous societal and cultural barriers, including restricted access to advanced education, gender biases in hiring and funding decisions, lower visibility in professional networks, insufficient representation in leadership positions, and limited possibilities to combine care duties with a career. Despite these obstacles, many women have been at the forefront of transformative discoveries in immunology and allergy research. Their perseverance and innovative thinking have led to breakthroughs that not only deepen our understanding of allergies but also drive the development of safer, more effective treatments for patients worldwide.In this research topic, 5 papers are selected that showcase important advances in the allergy research field.The mini-review by Elisa Zubeldia-Varela et al, titled "Allergy-associated biomarkers in early life identified by Omics technique", emphasizes the importance of identifying predictive biomarkers for allergic diseases, such as food allergy and atopic dermatitis, during the early stages of life. Understanding these early biomarkers is essential for comprehending immature immune responses and developing effective therapeutic approaches. The review highlights three major biomarker categories: the proteome, microbiome, and metabolome, and it also states that the microbiome and its metabolites can influence and modify host responses. The authors stress that elucidating the mechanisms underlying allergic diseases and the integration of omics data is crucial for advancing toward predictive, preventive, and personalized medical strategies.The systematic review and meta-analysis by Vanessa Pühringer et al, titled "Population-based incidence of all-cause anaphylaxis and its development over time: a systematic review and metaanalysis", sought to determine the incidence of all-cause anaphylaxis worldwide. Overall, 46 cases of anaphylaxis out of 100,000 population per year were described. The authors found a yearly increase of anaphylaxis incidence of 7.4%, and children were less likely to have anaphylaxis than the general population. This review provides information about this important topic, and further studies could evaluate the reasons for increasing incidence of anaphylaxis.In an original article published by Sergio Fernández-Bravo et al, titled "Circulating serum profile of small non-coding RNAs in patients with anaphylaxis beyond microRNAs", differential and specific profiles of small non coding RNAs (sncRNAs) in children with food-mediated anaphylaxis and in adults with drug-mediated anaphylaxis are described. Among the different snoRNAs, snRNAs, tRFs and YRFs, only three molecules (Y_RNA.394, Y_RNA.781 and SCARNA2) were common to both analyses. Beyond miRNAs, it is the first time that snRNAs have been postulated as biomarkers of anaphylaxis. Although preliminary data, studies like this define molecular clues into mechanisms underlying anaphylaxis that would lead to new clinical strategies.An original research article by Johanna Kuhl et al, titled "Cofactors of Drug Hypersensitivity -a mono-center restrospective analysis", analyzes 393 patients with suspected drug hypersensitivity reactions (DHR), focusing on drug-specific cofactors influencing confirmed hypersensitivities. Drug provocation tests and statistical modeling identified key associations: obesity was linked to antibiotic hypersensitivity, while atopic dermatitis, elevated IgE, and hypertension correlated with hypersensitivity to non-opioid analgesics. Negative associations for antibiotic hypersensitivity included sex, allergic rhinitis, hypertension, and elevated IgE. These findings emphasize that certain comorbidities act as cofactors for DHR and could improve risk assessment for drug provocation testing, supporting more targeted and safer allergy diagnostics in clinical practice.The original article by Kathrin Reinmuth-Selzle et al., titled " Chemical modification by peroxynitrite enhances TLR4 activation of the grass pollen allergen Phl p 5", investigates the chemical modifications of aeroallergens that may contribute to the high prevalence of respiratory allergies in industrialized countries. They discovered that the physiological oxidant peroxynitrite induces chemical modifications and enhances the activation of Toll-like receptor 4 (TLR4) by the grass pollen allergen Phlp5. This finding suggests that direct activation of TLR4 by Phlp5 may play a significant role in sensitization to this major airborne allergen, particularly during oxidative stress. Gaining a deeper understanding of the chemical modifications of allergens and their relationship to immune responses will help develop new immunotherapy treatments.Today, as global rates of allergies continue to rise, there is a growing need for fresh perspectives and interdisciplinary collaboration to develop inclusive, patient-centered care. Promoting the careers of women in science is critical to meeting these urgent demands. By empowering female researchers, we can catalyze novel strategies for diagnosing, managing, and ultimately preventing allergic diseases. However, increasing women's representation in science goes beyond merely filling positions in labs or research institutions. It necessitates systemic changes, including funding structures that support women-led projects, mentorship programs that guide junior researchers, and policies that encourage and enable a healthy work-life balance.Showcasing the stories of notable women in allergy research, like in this research topic, can inspire the next generation of women to pursue research careers in allergy, knowing that opportunities for growth and leadership exist. Women in allergy research have already made significant strides in advancing our understanding of allergies. By championing the successes of female researchers in this critical field, we can ensure that the future of allergy research is as innovative, robust, and impactful as possible.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,022
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,022
Score d'incertitude au seuil0,074

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,022
Méta-épidémiologie (sens strict)0,0040,001
Méta-épidémiologie (sens large)0,0030,003
Bibliométrie0,0030,001
Études des sciences et des technologies0,0020,002
Communication savante0,0070,005
Science ouverte0,0040,002
Intégrité de la recherche0,0100,012
Charge utile insuffisante (le modèle a refusé de juger)0,0220,014

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,020
Tête enseignante GPT0,352
Écart entre enseignants0,332 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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