Objective: The origins of allergic diseases have traditionally been explained by immunoglobulin E-mediated immune responses to account for asthma, atopic dermatitis, atopic rhinitis, and food allergy. Research insights into disease origins support a broader array of factors that predispose, initiate, or exacerbate altered immunity in allergic diseases, such as (1) inherent epithelial barrier dysfunction; (2) loss of immune tolerance; (3) disturbances in the gut; and (4) organ-specific microbiomes, diet, and age. Here, we discuss these influences that together form a better understanding of allergy as a systems disease.
Data Sources: We summarize recent advances in epithelial dysfunction, environmental influences, inflammation, infection, alterations in the specific microbiome, and inherent genetic predisposition.
Study Selections: We performed a literature search targeting primary and review articles.
Results: We explored microbial-epithelial-immune interactions underlying the early-life origins of allergic disorders and evaluated immune mechanisms suggesting novel disease prevention or intervention strategies. Damage to epithelial surfaces lies at the origin of various manifestations of allergic disease. As a sensor of environmental stimuli, the epithelium of the lungs, gut, and skin is affected by an altered microbiome, air pollution, food allergens in a changed diet, and chemicals in modern detergents. This collectively leads to alterations of lung, skin, or gut epithelial surfaces, driving a type 2 immune response that underlies atopic diseases. Treatment and prevention of allergic diseases include biologics, oral desensitization, targeted gut microbiome alterations, and changes in behavior.
Conclusion: Understanding the spectrum of allergy as a systems disease will allow us to better define the mechanisms of allergic disorders and improve their treatment.
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http://dx.doi.org/10.1016/j.anai.2020.07.013 | DOI Listing |
Sci Data
January 2025
Computer Science and Engineering Department, Universidad Carlos III de Madrid, Av. Universidad, 30, Leganés, 28911, Madrid, Spain.
This article describes a dataset on nut allergy extracted from Spanish clinical records provided by the Hospital Universitario Fundación de Alcorcón (HUFA) in Madrid, Spain, in collaboration with its Allergology Unit and Information Systems and Technologies Department. There are few publicly available clinical texts in Spanish and having more is essential as a valuable resource to train and test information extraction systems. In total, 828 clinical notes in Spanish were employed and several experts participated in the annotation process by categorizing the annotated entities into medical semantic groups related to allergies.
View Article and Find Full Text PDFJ Allergy Clin Immunol
January 2025
Division of Allergy & Immunology, Icahn School of Medicine at Mount Sinai; New York, NY, USA.
Background: The 2006 National Institute of Allergy and Infectious Disease/Food Allergy and Anaphylaxis Network (NIAID/FAAN) anaphylaxis criteria are widely used in clinical care and research. In 2020, the World Allergy Organization (WAO) published modified criteria that have not been uniformly adopted. Different criteria contribute to inconsistent care and research outcomes.
View Article and Find Full Text PDFJ Vis Exp
January 2025
State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University;
Cough is one of the most common symptoms of many respiratory diseases. Chronic cough significantly impacts quality of life and imposes a considerable economic burden. Increased cough sensitivity is a pathophysiological hallmark of chronic cough.
View Article and Find Full Text PDFJ Clin Immunol
January 2025
Department of Health Systems & Implementation Science, Virginia Tech Carilion School of Medicine, Roanoke, VA, USA.
Pain
January 2025
Department of Neuroscience, Center for Advanced Pain Studies, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX.
Hyperalgesic priming is a model system that has been widely used to understand plasticity in painful stimulus-detecting sensory neurons, called nociceptors. A key feature of this model system is that following priming, stimuli that do not normally cause hyperalgesia now readily provoke this state. We hypothesized that hyperalgesic priming occurs because of reorganization of translation of mRNA in nociceptors.
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