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Enregistrement W4406189182 · doi:10.1111/cea.14610

Anaphylaxis: Spotlight on Inflammation

2025· editorial· en· W4406189182 sur OpenAlexaff
Emilio Nuñez‐Borque, Timothy E. Dribin, Pablo Rodríguez del Río, Carlos A. Camargo, Vanesa Esteban, George Du Toit, Rodrigo Jiménez‐Saiz, Mattia Giovannini

Notice bibliographique

RevueClinical & Experimental Allergy · 2025
Typeeditorial
Langueen
DomaineMedicine
ThématiqueFood Allergy and Anaphylaxis Research
Établissements canadiensMcMaster University
Organismes subventionnairesNational Institute of Allergy and Infectious DiseasesInstituto de Salud Carlos IIINational Institutes of Health
Mots-clésAnaphylaxisMedicineInflammationAllergic inflammationAllergyImmunologyEtiologyEpinephrineDermatologyIntensive care medicineAnesthesiaInternal medicine

Résumé

récupéré en direct d'OpenAlex

Anaphylaxis is a medical condition for which several definitions have been proposed (Table 1 is available in the repository information at https://osf.io/sc2ey/?view_only=f66e841be31b42418eecf639caa0b24d). Charles Richet and Paul Portier coined the term ‘anaphylaxis’ in 1902. If discovered earlier, it might have invigorated the ongoing scientific debate in the late 19th century between Rudolf Virchow and Iliá Méchnikov on the detrimental versus beneficial nature of inflammation [1]. While inflammation typically serves as a response to tissue damage or infection, to restore homeostasis, anaphylaxis is a classic example of an immunopathological reaction in which an exaggerated and inappropriate response can lead, although rarely, to potentially fatal outcomes. Precisely, the role of inflammation has been underlined as central in several atopic diseases, but, surprisingly, not in anaphylaxis. The most common triggers of anaphylaxis are foods, insect stings and medications, but the aetiology may be unknown in some cases (idiopathic). This reaction is a multisystem condition that may involve different findings from the skin/mucosal, respiratory, cardiovascular and/or gastrointestinal systems. However, patients may rarely present isolated respiratory or cardiovascular involvement, and skin/mucosal participation may be absent. In addition, anxiety about the possibility of a new episode of anaphylaxis significantly impairs the quality of life of patients and their relatives, restricting daily activities and increasing the state of constant alertness [2]. The foundations of acute anaphylaxis management are removing the trigger, proper patient positioning, immediate administration of adrenaline and repeat adrenaline injections if severe clinical manifestations do not resolve. Moreover, this treatment can be supplemented with the use of second-line medications (e.g., β2-adrenergic agonists), as well as with the administration of supportive treatments (e.g., oxygen) [2, 3]. Most patients treated with adrenaline experience prompt resolution of symptoms and signs. However, a minority of patients may require three or more doses of adrenaline (refractory anaphylaxis) or have recurrence after an asymptomatic period (biphasic anaphylaxis) [4, 5]. Different signalling pathways can mediate anaphylaxis (Figure 1). Among them, the classical one is mediated by immunoglobulin (Ig)E. In sensitised individuals, secreted IgE binds to its high-affinity receptor (FcεRI) on effector cells (mainly mast cells and basophils), which store preformed pro-inflammatory granules. Then, allergen binding by cell-bound IgE triggers effector cell activation, leading to the immediate release of potent pro-inflammatory mediators, such as histamine, tryptase, platelet-activating factor (PAF), prostaglandins, leukotrienes and TNF-α, which are responsible for the rapid clinical manifestations of anaphylaxis [6]. However, in some cases, anaphylaxis occurs without detectable levels of specific IgE, suggesting the presence of alternative molecular pathways contributing to the inflammatory response of the reaction, such as IgG-mediated anaphylaxis. Although this pathway is well characterised in murine models [7], clinical evidence for its contribution to human anaphylaxis is limited and plausibly restricted to clinical settings involving systemic administration of drugs (e.g., protamine, dextran) because it seems to require a higher concentration of antigen compared to the classical pathway [8, 9]. Nevertheless, antigen-IgG binding to FcγR on myeloid cells (such as mast cells, basophils, neutrophils, monocytes and macrophages) can lead to their activation and the release of pro-inflammatory mediators. In addition, Ig-independent mechanisms can trigger anaphylaxis. For example, certain medications, such as neuromuscular blocking agents or contrast media, can directly induce the release of inflammatory mediators from mast cells by binding to the Mas-related G protein-coupled receptor member X2 (MRGPRX2) on their surface. Moreover, extrinsic (exercise, alcohol, drugs, etc.) and intrinsic (genetic, hormones, comorbidities such as uncontrolled asthma, etc.) factors can directly and indirectly modulate the release of inflammatory mediators and the severity of an anaphylactic reaction. Furthermore, the complement system, when activated, produces anaphylatoxins (C3a, C4a and C5a), which bind to their receptors on effector cells triggering their degranulation and promoting inflammation. In turn, these receptors are also present in endothelial cells, the principal component of the vascular endothelium and a critical player of anaphylactic reactions [8]. Therefore, the complex inflammatory mechanisms of anaphylaxis are multifaceted and involve Ig-dependent and Ig-independent pathways, as well as diverse molecular and cellular pathways. However, all of them converge in the release of pro-inflammatory mediators that cause clinical manifestations that are practically indistinguishable (Figure 1). Increasing our knowledge of these biological systems is crucial for the translation to clinical practice, which could improve the diagnosis, treatment and prevention of anaphylaxis. Indeed, there are currently no reliable biomarkers to confirm the diagnosis when it is uncertain, to inform management decision-making and to stratify patient risk. The lack of biomarkers is partly due to the challenge of prospectively enrolling patients, especially children, and obtaining repeated biological samples to capture the dynamic changes that occur during anaphylaxis. Based on these gaps, there is a pressing need to elucidate the complex interplay between anaphylaxis endotypes and phenotypes, and therapeutic responses to optimise its care and develop novel treatments. For this aim, the central role of inflammation in anaphylaxis should be underlined. Innovative treatments explicitly targeting the inflammatory cascade may pave the way for advances in anaphylaxis management. Indeed, the actual standard of care is based on medications, such as adrenaline, which explicitly target the patient's symptoms and signs, and which have little impact on the underlying immune mechanisms. Thus, we encourage future research, based on the collaboration between scientists and clinicians that could deepen our understanding of these concepts and broaden the options available for patients, especially in severe cases. All authors contributed to the writing and critical revision of the manuscript. M.G. conceived the original idea. R.J.-S. and E.N.-B. led the project, and coordinated the stucture and the writing of the manuscript. M.G. reports personal fees from Sanofi; R.J.-S. reports research grants from Inmunotek S.L.; C.A.C. reports personal fees (Scientific Advisory Boards, consulting) from ARS Pharma, Aquestive and Bryn Pharma. Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
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 enseignants0,048
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

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 Opus0,031
Tête enseignante GPT0,409
Écart entre enseignants0,378 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

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

Citations4
Publié2025
Routes d'admission1
Résumé présentoui

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