This article interprets the research progress and clinical applications of weed pollen allergen components as outlined in the European Academy of Allergy and Clinical Immunology (EAACI) guidelines on Molecular Allergology User′s Guide 2.0. The significance of this interpretation lies not only in emphasizing the analysis of patients′ sensitization patterns through advanced allergen component resolved diagnostics (CRD) but also in providing new research perspectives for exploring the unique features of weed pollen allergy in China. The complexity and diversity of weed pollen allergy, including its distribution and prevalence in different geographical regions, the characteristics of allergen component protein families, and their clinical significance, all require in-depth investigation. This interpretation aims to enhance the comprehensive understanding of allergen components in weed pollen allergy among relevant professionals, with the expectation of achieving outstanding progress in diagnosis and treatment. The ultimate goal is to develop more personalized and precise treatment strategies for patients with weed pollen allergy and those reacting to pan-allergens.

Furry animal allergens, particularly cat and dog hair and dander, are common allergens in indoor environments, affecting the health of people world widely. Key sensitizing components such as Fel d 1 from cats and Can f 1 from dogs have been extensively studied and identified by the scientific community. Component resolved diagnosis (CRD) technology in modern diagnostic methods provides an accurate way to identify and distinguish these components, which is extremely important for the prevention of furry animal allergies and the formulation of personalized treatment strategies. To enhance the understanding of furry animal component diagnosis and promote the alignment of the Chinese discipline of allergology with international standards, this article interprets and explains the content of the "Molecular Allergology User′s Guide 2.0" recently released by the European Academy of Allergy and Clinical Immunology. It focuses on the epidemiological characteristics of furry animal components, the diversity of allergen protein families, and their clinical diagnosis and management.

Food allergy are triggered by an abnormal immune response to specific food components, with milk and eggs being the most common food allergens, especially in children. Food allergy can cause various symptoms such as rashes, difficulty breathing, and digestive issues. Allergen component diagnostics is a technique used to identify specific allergenic proteins, aiding doctors in providing more precise treatment and management recommendations for patients. This article analyzes the latest research developments and clinical significance of milk and egg allergen components based on the " Molecular Allergology User′s Guide 2.0 (MAUG 2.0)" issued by the European Academy of Allergy and Clinical Immunology (EAACI), including their applications in clinical diagnosis, treatment, and management. This article aims to enhance healthcare professionals′ understanding of milk and egg allergies, offering new perspectives and practical guidelines for research and clinical practice to promote accurate diagnosis and personalized treatment strategies.

Shellfish, being one of the eight major food allergens, affects approximately 3% of the global population. The occurrence of shellfish allergy is not only related to the individual′s immune system sensitivity but is also influenced by geographical environment, food availability, and dietary habits. Although crustaceans (such as shrimp, crab, and lobster) and mollusks (such as oysters, mussels, and squid) are collectively referred to as shellfish, they exhibit significant differences in biological evolution and the spectrum of allergenic molecules they contain, leading to various allergic reactions. Accurate identification of allergenic proteins is crucial for the diagnosis and management of shellfish allergies, with key allergenic protein families including tropomyosin, arginine kinase, and hemocyanin. Furthermore, due to the diversity of shellfish allergens and their cross-reactivity with dust mite and insect allergens, diagnosing and managing shellfish allergies is complex, especially concerning tropomyosin and arginine kinase protein families. Currently, there are no specific immunotherapy treatments for shellfish allergies, and clinical management primarily relies on avoiding allergens and using anti-allergy medications. This article thoroughly interprets the " Molecular Allergology User′s Guide 2.0 (MAUG 2.0)" published by the European Academy of Allergy and Clinical Immunology (EAACI) and the latest research on shellfish allergies both domestically and internationally. It highlights the significant role of allergen component diagnostics in optimizing the diagnostic and treatment processes for shellfish allergies, effectively assisting clinicians in accurately identifying common allergens and cross-reactions, thereby providing patients with more personalized diagnosis and treatment plans.

Vegetable and fruit allergies are common types of food allergies worldwide, most of them are triggered by primary sensitization to pollen. Most allergens in vegetables and fruits belong to a few cross-reactive proteins such as PR-10 proteins, profilins, and nsLTPs. The presence of these allergens in various plants can lead to widespread cross-reactive allergic responses. Component-resolved diagnostics (CRD) can improve diagnostic accuracy by precisely identifying specific allergenic proteins, aiding physicians in making more accurate treatment and management decisions, and reducing unnecessary food avoidance. This article, based on the "Molecular Allergology User′s Guide 2.0 (MAUG 2.0)" issued by the European Academy of Allergy and Clinical Immunology (EAACI), analyzes the primary mechanisms, relevant allergens, and diagnostic and clinical management strategies for vegetable and fruit allergies. By detailing and analyzing these allergenic components, this article may help the healthcare professionals to deep the understandings of vegetable and fruit allergies, offer new perspectives and practical guideline for the research and treatment of these allergies, and promot the development of precise diagnostics and personalized treatment strategies.

Wheat and buckwheat allergies are common food allergies that significantly impact patients′ quality of life and health. Wheat allergy encompasses various forms, including wheat food allergy, exercise-induced allergic reactions (WDEIA), baker′s occupational asthma/allergy, and contact urticaria. IgE-mediated allergic reactions involve sensitization to stable wheat allergens such as ω-5 gliadin and gluten. Although buckwheat allergy is less common, it is gaining attention in certain regions. Allergen component diagnostic technologies, by detecting specific allergen components [e.g., ω-5 gliadin, gliadins (α, β, γ), and Tri a 14], offer precise allergen source identification, aiding in the optimization of diagnosis and management processes. Oral challenge tests are considered the gold standard for diagnosing wheat allergy, and combining skin prick tests with specific IgE measurements can enhance diagnostic accuracy. While avoidance of allergens remains the primary management strategy, research into immunotherapy is ongoing. Future research should focus on a deeper understanding of the structural and immunological characteristics of wheat and buckwheat allergens to develop more accurate diagnostic tools and treatment methods, thereby improving allergy management and patient quality of life. This article provides a detailed interpretation of the Molecular Allergology User′s Guide 2.0 (MAUG 2.0) published by the European Academy of Allergy and Clinical Immunology (EAACI) and recent research advances on wheat and buckwheat allergies, highlighting the crucial role of allergen component diagnostics in optimizing food allergy diagnosis and treatment processes, supporting clinicians in accurately identifying common allergens and their cross-reactivity, and formulating more personalized treatment plans for patients.

Objective:To investigate the surgical decision-making types and its influencing factors for obesity patients participating in bariatric metabolic surgery.Methods:The survey targets were patients who were scheduled to bariatric metabolic surgery in The First Affiliated Hospital of Nanjing Medical University, and the survey period was from January 1 to May 30, 2024. The survey was conducted using the general demographic questionnaire, control preference scale, and shared-decision requirements questionnaire for bariatric metabolic surgery. Count data were expressed as absolute numbers and percentages, and comparison between groups was performed using the chi-square test. Comparison of ordinal data was performed using the non parametric test. Univariate analysis was performed using the corresponding statistical methods based on data types. Multivariate analysis was conducted using the willingness of patients to participate in bariatric metabolic surgery decision-making (passive decision-making=1, shared decision-making=2, active decision-making=3) as the dependent variable, and the statistically significant variables in univariate analysis were included as independent variables for disordered multi-class Logistic regression analysis.Results:(1) Results of survey. A total of 568 questionnaires were distributed and collected. After removing 48 unqualified questionnaires, 520 valid questionnaires were collected. Of the 520 patients who completed the questionnaire survey, there were 231 cases participating as the passive decision-making type, 140 cases as shared decision-making type, and 149 as active decision-making type in bariatric metabolic surgery decision-making. (2) Influencing factors for decision-making type of obesity patients participating in bariatric metabolic surgery. Results of multivariate analysis showed that taking the shared decision-making type as a reference, the number of complication (0 compared to ≥4, 1?3 compared to ≥4), medical payment method (medical insurance compared to self-payment), degree of disease understanding (not very understanding compared to general understanding, not understanding compared to general understanding), and the interval between knowing and accep-ting surgery (1-3 months compared to >6 months) were independent factors influencing the willingness of passive decision-making patients to participate in bariatric metabolic surgery deci-sions ( odds ratios=3.520, 2.457, 2.255, 3.147, 1.920, 1.854, 95% confidence interval as 1.552-7.984, 1.215-4.968, 1.335-3.809, 1.865-5.311, 1.025-3.596, 1.065-3.230, P<0.05). Body mass index (BMI) (28.0-31.9 kg/cm 2 compared to ≥37.0 kg/cm 2, 32.0-36.9 kg/cm 2 compared to ≥37.0 kg/cm 2), number of complication (0 compared to ≥4, 1?3 compared to ≥4), family and social support status (poor compared to good), and the interval between knowing and accepting surgery (1?3 months compared to >6 months) were independent factors influencing the willingness of passive decision-making patients to participate in bariatric metabolic surgery decisions ( odds ratios=2.391, 2.478, 6.918, 3.335, 2.974, 2.139, 95% confidence intervals as 1.207-4.735, 1.345-4.563, 2.498-19.159, 1.350-8.242, 1.755-5.039, 1.156-3.957, P<0.05). Taking the passive decision-making type as a reference, BMI (28.0-31.9 kg/cm 2 compared to ≥37.0 kg/cm 2, 32.0-36.9 kg/cm 2 compared to ≥37.0 kg/cm 2) and family social support status (poor compared to good) were independent factors influencing the willingness of passive decision-making patients to participate in bariatric metabolic surgery decisions ( odds ratios=0.404, 0.554, 0.336, 95% confidence interval as 0.221-0.740, 0.327-0.938, 0.212-0.534, P<0.05). (3) Analysis of decision support needs for bariatric metabolic surgery. Results of shared-decision requirements questionnaire showed that the information needs of obesity patients from high to low were surgical indications, postoperative physical changes and dietary habits adjust-ments, surgical costs, surgical complications and risks, and surgical outcomes. The demand for content preference from high to low were in the form of sharing patient experience after bariatric metabolic surgery, comparing before and after bariatric metabolic surgery, popularizing science after bariatric metabolic surgery, introducing surgical methods, live streaming of medical staff, and introducing the hospital environment. In terms of recognition of networked support pathways, 94.04%(489/520) of patients believed that implementing shared decision support based on networked pathways was reliable. Conclusions:Obesity patients are more willing to participate in bariatric metabolic surgery decision-making. But the proportion of patients selecting passive decision-making is relatively high. BMI, number of complication, medical payment method, degree of disease under-standing, family and social support status and the interval between knowing and accepting surgery are independent factors influencing the willingness of obesity patients to paticipate in bariatric metabolic surgery decisions.

This article interprets the research progress and clinical applications of weed pollen allergen components as outlined in the European Academy of Allergy and Clinical Immunology (EAACI) guidelines on Molecular Allergology User′s Guide 2.0. The significance of this interpretation lies not only in emphasizing the analysis of patients′ sensitization patterns through advanced allergen component resolved diagnostics (CRD) but also in providing new research perspectives for exploring the unique features of weed pollen allergy in China. The complexity and diversity of weed pollen allergy, including its distribution and prevalence in different geographical regions, the characteristics of allergen component protein families, and their clinical significance, all require in-depth investigation. This interpretation aims to enhance the comprehensive understanding of allergen components in weed pollen allergy among relevant professionals, with the expectation of achieving outstanding progress in diagnosis and treatment. The ultimate goal is to develop more personalized and precise treatment strategies for patients with weed pollen allergy and those reacting to pan-allergens.

Furry animal allergens, particularly cat and dog hair and dander, are common allergens in indoor environments, affecting the health of people world widely. Key sensitizing components such as Fel d 1 from cats and Can f 1 from dogs have been extensively studied and identified by the scientific community. Component resolved diagnosis (CRD) technology in modern diagnostic methods provides an accurate way to identify and distinguish these components, which is extremely important for the prevention of furry animal allergies and the formulation of personalized treatment strategies. To enhance the understanding of furry animal component diagnosis and promote the alignment of the Chinese discipline of allergology with international standards, this article interprets and explains the content of the "Molecular Allergology User′s Guide 2.0" recently released by the European Academy of Allergy and Clinical Immunology. It focuses on the epidemiological characteristics of furry animal components, the diversity of allergen protein families, and their clinical diagnosis and management.

Food allergy are triggered by an abnormal immune response to specific food components, with milk and eggs being the most common food allergens, especially in children. Food allergy can cause various symptoms such as rashes, difficulty breathing, and digestive issues. Allergen component diagnostics is a technique used to identify specific allergenic proteins, aiding doctors in providing more precise treatment and management recommendations for patients. This article analyzes the latest research developments and clinical significance of milk and egg allergen components based on the " Molecular Allergology User′s Guide 2.0 (MAUG 2.0)" issued by the European Academy of Allergy and Clinical Immunology (EAACI), including their applications in clinical diagnosis, treatment, and management. This article aims to enhance healthcare professionals′ understanding of milk and egg allergies, offering new perspectives and practical guidelines for research and clinical practice to promote accurate diagnosis and personalized treatment strategies.