Editorial: Women in science: allergy research
Bibliographic record
Abstract
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.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".