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Bonk S, Eszlari N, Kirchner K, Gezsi A, Garvert L, Kuokkanen M, Cano I, Grabe HJ, Antal P, Juhasz G, Van der Auwera S. Impact of gene-by-trauma interaction in MDD-related multimorbidity clusters. J Affect Disord 2024; 359:382-391. [PMID: 38806065 DOI: 10.1016/j.jad.2024.05.126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 05/23/2024] [Accepted: 05/24/2024] [Indexed: 05/30/2024]
Abstract
BACKGROUND Major depressive disorder (MDD) is considerably heterogeneous in terms of comorbidities, which may hamper the disentanglement of its biological mechanism. In a previous study, we classified the lifetime trajectories of MDD-related multimorbidities into seven distinct clusters, each characterized by unique genetic and environmental risk-factor profiles. The current objective was to investigate genome-wide gene-by-environment (G × E) interactions with childhood trauma burden, within the context of these clusters. METHODS We analyzed 77,519 participants and 6,266,189 single-nucleotide polymorphisms (SNPs) of the UK Biobank database. Childhood trauma burden was assessed using the Childhood Trauma Screener (CTS). For each cluster, Plink 2.0 was used to calculate SNP × CTS interaction effects on the participants' cluster membership probabilities. We especially focused on the effects of 31 candidate genes and associated SNPs selected from previous G × E studies for childhood maltreatment's association with depression. RESULTS At SNP-level, only the high-multimorbidity Cluster 6 revealed a genome-wide significant SNP rs145772219. At gene-level, MPST and PRH2 were genome-wide significant for the low-multimorbidity Clusters 1 and 3, respectively. Regarding candidate SNPs for G × E interactions, individual SNP results could be replicated for specific clusters. The candidate genes CREB1, DBH, and MTHFR (Cluster 5) as well as TPH1 (Cluster 6) survived multiple testing correction. LIMITATIONS CTS is a short retrospective self-reported measurement. Clusters could be influenced by genetics of individual disorders. CONCLUSIONS The first G × E GWAS for MDD-related multimorbidity trajectories successfully replicated findings from previous G × E studies related to depression, and revealed risk clusters for the contribution of childhood trauma.
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Affiliation(s)
- Sarah Bonk
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Nora Eszlari
- Department of Pharmacodynamics, Faculty of Pharmaceutical Sciences, Semmelweis University, Nagyvárad tér 4., H-1089 Budapest, Hungary; NAP3.0-SE Neuropsychopharmacology Research Group, Hungarian Brain Research Program, Semmelweis University, Üllői út 26., H-1085 Budapest, Hungary
| | - Kevin Kirchner
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Andras Gezsi
- Department of Measurement and Information Systems, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary
| | - Linda Garvert
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Mikko Kuokkanen
- Department of Public Health and Welfare, Finnish Health and Welfare Institute. Biomedicum 1, Haartmaninkatu 8, 00290 Helsinki, Finland; Department of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine at University of Texas Rio Grande Valley, Brownsville, TX, United States; Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Finland
| | - Isaac Cano
- Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Villarroel 170, Barcelona 08036. Spain
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17475 Greifswald, Germany; German Centre for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, 17475 Greifswald, Germany
| | - Peter Antal
- Department of Measurement and Information Systems, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary
| | - Gabriella Juhasz
- Department of Pharmacodynamics, Faculty of Pharmaceutical Sciences, Semmelweis University, Nagyvárad tér 4., H-1089 Budapest, Hungary; NAP3.0-SE Neuropsychopharmacology Research Group, Hungarian Brain Research Program, Semmelweis University, Üllői út 26., H-1085 Budapest, Hungary
| | - Sandra Van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17475 Greifswald, Germany; German Centre for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, 17475 Greifswald, Germany.
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2
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Wise SK, Hamzavi-Abedi Y, Hannikainen PA, Anand MP, Pitt T, Savoure M, Toskala E. Rhinitis Disease Burden and the Impact of Social Determinants of Health. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2024; 12:1449-1461.e1. [PMID: 38570070 DOI: 10.1016/j.jaip.2024.03.043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 03/19/2024] [Accepted: 03/22/2024] [Indexed: 04/05/2024]
Abstract
Social determinants of health (SDHs) have a substantial impact on patient care and outcomes globally, both in low- to middle-income countries and in high-income countries. In the clinic, lack of availability of diagnostic tools, inequities in access to care, and challenges obtaining and adhering to prescribed treatment plans may further compound these issues. This article addresses a case of rhinitis in the context of SDHs and inequities in care that may affect various communities and populations around the world. SDHs may include various aspects of one's financial means, education, access to medical care, environment and living situation, and community factors, each of which could play a role in the rhinitis disease manifestations, diagnosis, and management. Allergic and nonallergic rhinitis are considered from this perspective. Rhinitis epidemiology, disease burden, and risk factors are broadly addressed. Patient evaluation, diagnostic tests, and management options are also reviewed, and issues related to SDHs are noted. Finally, inequities in care, knowledge gaps, and unmet needs are highlighted. It is critical to consider SDHs and care inequities when evaluating and treating patients for rhinitis and other allergic conditions.
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Affiliation(s)
- Sarah K Wise
- Department of Otolaryngology-Head and Neck Surgery, Emory University, Atlanta, Ga.
| | - Yasmin Hamzavi-Abedi
- Departments of Pediatrics and Medicine, Division of Allergy and Immunology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, NY
| | | | - Mahesh Padukudru Anand
- Department of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education & Research, Mysore, Karnataka, India
| | - Tracy Pitt
- Department of Paediatrics, Humber River Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Marine Savoure
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, France
| | - Elina Toskala
- Department of Otolaryngology-Head and Neck Surgery, Thomas Jefferson University, Philadelphia, Pa
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3
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Zhou Y, Chen B, Fu Y, Wan C, Li H, Wang L, Huang X, Wu Z, Li G, Xiong L, Qin D. Cang-ai volatile oil alleviates nasal inflammation via Th1/Th2 cell imbalance regulation in a rat model of ovalbumin-induced allergic rhinitis. Front Pharmacol 2024; 15:1332036. [PMID: 38835658 PMCID: PMC11148258 DOI: 10.3389/fphar.2024.1332036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 04/23/2024] [Indexed: 06/06/2024] Open
Abstract
We previously revealed that Cang-ai volatile oil (CAVO) regulates T-cell activity, enhancing the immune response in people with chronic respiratory diseases. However, the effects of CAVO on allergic rhinitis (AR) have not been investigated. Herein, we established an ovalbumin (OVA)-induced AR rat model to determine these effects. Sprague-Dawley (SD) rats were exposed to OVA for 3 weeks. CAVO or loratadine (positive control) was given orally once daily for 2 weeks to OVA-exposed rats. Behavior modeling nasal allergies was observed. Nasal mucosa, serum, and spleen samples of AR rats were analyzed. CAVO treatment significantly reduced the number of nose rubs and sneezes, and ameliorated several hallmarks of nasal mucosa tissue remodeling: inflammation, eosinophilic infiltration, goblet cell metaplasia, and mast cell hyperplasia. CAVO administration markedly upregulated expressions of interferon-γ, interleukin (IL)-2, and IL-12, and downregulated expressions of serum tumor necrosis factor-α, IL-4, IL-5, IL-6, IL-13, immunoglobulin-E, and histamine. CAVO therapy also increased production of IFN-γ and T-helper type 1 (Th1)-specific T-box transcription factor (T-bet) of the cluster of differentiation-4+ T-cells in splenic lymphocytes, and protein and mRNA expressions of T-bet in nasal mucosa. In contrast, levels of the Th2 cytokine IL-4 and Th2-specific transcription factor GATA binding protein-3 were suppressed by CAVO. These cumulative findings demonstrate that CAVO therapy can alleviate AR by regulating the balance between Th1 and Th2 cells.
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Affiliation(s)
- Yang Zhou
- The First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, China
- Key Laboratory of Traditional Chinese Medicine for Prevention and Treatment of Neuropsychiatric Diseases, Yunnan University of Chinese Medicine, Kunming, China
| | - Bojun Chen
- Yunnan Provincial University Key Laboratory of Aromatic Chinese Herb Research, Kunming, China
- Yunnan Innovation Team of Application Research on Traditional Chinese Medicine Theory of Disease Prevention at Yunnan University of TCM, Kunming, China
| | - Yi Fu
- The Third Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China
| | - Chunping Wan
- The First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, China
| | - Huayan Li
- The First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, China
| | - Lin Wang
- School of Pharmacy, Yunnan University of Chinese Medicine, Kunming, China
| | - Xiaoyi Huang
- Key Laboratory of Traditional Chinese Medicine for Prevention and Treatment of Neuropsychiatric Diseases, Yunnan University of Chinese Medicine, Kunming, China
| | - Zhao Wu
- School of Pharmacy, Yunnan University of Chinese Medicine, Kunming, China
| | - Gang Li
- Yunnan Provincial University Key Laboratory of Aromatic Chinese Herb Research, Kunming, China
- Yunnan Innovation Team of Application Research on Traditional Chinese Medicine Theory of Disease Prevention at Yunnan University of TCM, Kunming, China
| | - Lei Xiong
- Yunnan Provincial University Key Laboratory of Aromatic Chinese Herb Research, Kunming, China
- Yunnan Innovation Team of Application Research on Traditional Chinese Medicine Theory of Disease Prevention at Yunnan University of TCM, Kunming, China
| | - Dongdong Qin
- Key Laboratory of Traditional Chinese Medicine for Prevention and Treatment of Neuropsychiatric Diseases, Yunnan University of Chinese Medicine, Kunming, China
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Klain A, Senatore AA, Licari A, Galletta F, Bettini I, Tomei L, Manti S, Mori F, Miraglia del Giudice M, Indolfi C. The Prevention of House Dust Mite Allergies in Pediatric Asthma. CHILDREN (BASEL, SWITZERLAND) 2024; 11:469. [PMID: 38671686 PMCID: PMC11048898 DOI: 10.3390/children11040469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 04/03/2024] [Accepted: 04/12/2024] [Indexed: 04/28/2024]
Abstract
This review provides a concise overview of preventive measures against dust mite allergies in pediatric populations, emphasizing the need for a comprehensive and evolving approach. Dust mites, ubiquitous microscopic arachnids, pose a significant threat to children's health, triggering allergies and asthma. Traditional preventive strategies such as regular cleaning, mattress covers, and humidity control are essential but warrant refinement. Empowering children through personalized hygiene education and exploring innovative bedding solutions showcase a forward-thinking paradigm. Collaboration with healthcare professionals and embracing technology-driven solutions ensures a holistic and adaptable approach to safeguarding pediatric health against dust mite-related ailments. This abstract underscores the importance of continually reassessing and innovating preventive measures to create resilient and health-conscious living environments for children.
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Affiliation(s)
- Angela Klain
- Department of Woman, Child and General and Specialized Surgery, University of Campania ‘Luigi Vanvitelli’, 80138 Naples, Italy; (A.K.); (C.I.)
| | - Antonio Andrea Senatore
- Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy; (A.A.S.); (A.L.)
| | - Amelia Licari
- Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy; (A.A.S.); (A.L.)
- Pediatric Clinic, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy
| | - Francesca Galletta
- Pediatric Unit, Department of Human Pathology in Adult and Developmental Age ‘Gaetano Barresi’, University of Messina, 98122 Messina, Italy; (F.G.); (S.M.)
| | - Irene Bettini
- Pediatric Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy;
| | - Leonardo Tomei
- Allergy Unit, Meyer Children’s Hospital, IRCCS, 50139 Florence, Italy; (L.T.); (F.M.)
| | - Sara Manti
- Pediatric Unit, Department of Human Pathology in Adult and Developmental Age ‘Gaetano Barresi’, University of Messina, 98122 Messina, Italy; (F.G.); (S.M.)
| | - Francesca Mori
- Allergy Unit, Meyer Children’s Hospital, IRCCS, 50139 Florence, Italy; (L.T.); (F.M.)
| | - Michele Miraglia del Giudice
- Department of Woman, Child and General and Specialized Surgery, University of Campania ‘Luigi Vanvitelli’, 80138 Naples, Italy; (A.K.); (C.I.)
| | - Cristiana Indolfi
- Department of Woman, Child and General and Specialized Surgery, University of Campania ‘Luigi Vanvitelli’, 80138 Naples, Italy; (A.K.); (C.I.)
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5
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de Joode K, Heersche N, Basak EA, Bins S, van der Veldt AAM, van Schaik RHN, Mathijssen RHJ. Review - The impact of pharmacogenetics on the outcome of immune checkpoint inhibitors. Cancer Treat Rev 2024; 122:102662. [PMID: 38043396 DOI: 10.1016/j.ctrv.2023.102662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/22/2023] [Accepted: 11/23/2023] [Indexed: 12/05/2023]
Abstract
The development of immune checkpoint inhibitors (ICIs) has a tremendous effect on the treatment options for multiple types of cancer. Nonetheless, there is a large interpatient variability in response, survival, and the development of immune-related adverse events (irAEs). Pharmacogenetics is the general term for germline genetic variations, which may cause the observed interindividual differences in response or toxicity to treatment. These genetic variations can either be single-nucleotide polymorphisms (SNPs) or structural variants, such as gene deletions, amplifications or rearrangements. For ICIs, pharmacogenetic variation in the human leukocyte antigen molecules has also been studied with regard to treatment outcome. This review presents a summary of the literature regarding the pharmacogenetics of ICI treatment, discusses the most important known genetic variations and offers recommendations on the application of pharmacogenetics for ICI treatment.
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Affiliation(s)
- Karlijn de Joode
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Niels Heersche
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands; Department of Clinical Chemistry, Erasmus MC, Erasmus University Hospital, Rotterdam, the Netherlands
| | - Edwin A Basak
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Sander Bins
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Astrid A M van der Veldt
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands; Department of Radiology & Nuclear Medicine, Erasmus MC, Erasmus University Hospital, Rotterdam, the Netherlands
| | - Ron H N van Schaik
- Department of Clinical Chemistry, Erasmus MC, Erasmus University Hospital, Rotterdam, the Netherlands
| | - Ron H J Mathijssen
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
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6
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Lebold KM, Cook M, Pincus AB, Nevonen KA, Davis BA, Carbone L, Calco GN, Pierce AB, Proskocil BJ, Fryer AD, Jacoby DB, Drake MG. Grandmaternal allergen sensitization reprograms epigenetic and airway responses to allergen in second-generation offspring. Am J Physiol Lung Cell Mol Physiol 2023; 325:L776-L787. [PMID: 37814791 PMCID: PMC11068409 DOI: 10.1152/ajplung.00103.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 10/03/2023] [Accepted: 10/03/2023] [Indexed: 10/11/2023] Open
Abstract
Asthma susceptibility is influenced by environmental, genetic, and epigenetic factors. DNA methylation is one form of epigenetic modification that regulates gene expression and is both inherited and modified by environmental exposures throughout life. Prenatal development is a particularly vulnerable time period during which exposure to maternal asthma increases asthma risk in offspring. How maternal asthma affects DNA methylation in offspring and what the consequences of differential methylation are in subsequent generations are not fully known. In this study, we tested the effects of grandmaternal house dust mite (HDM) allergen sensitization during pregnancy on airway physiology and inflammation in HDM-sensitized and challenged second-generation mice. We also tested the effects of grandmaternal HDM sensitization on tissue-specific DNA methylation in allergen-naïve and -sensitized second-generation mice. Descendants of both allergen- and vehicle-exposed grandmaternal founders exhibited airway hyperreactivity after HDM sensitization. However, grandmaternal allergen sensitization significantly potentiated airway hyperreactivity and altered the epigenomic trajectory in second-generation offspring after HDM sensitization compared with HDM-sensitized offspring from vehicle-exposed founders. As a result, biological processes and signaling pathways associated with epigenetic modifications were distinct between lineages. A targeted analysis of pathway-associated gene expression found that Smad3 was significantly dysregulated as a result of grandmaternal allergen sensitization. These data show that grandmaternal allergen exposure during pregnancy establishes a unique epigenetic trajectory that reprograms allergen responses in second-generation offspring and may contribute to asthma risk.NEW & NOTEWORTHY Asthma susceptibility is influenced by environmental, genetic, and epigenetic factors. This study shows that maternal allergen exposure during pregnancy promotes unique epigenetic trajectories in second-generation offspring at baseline and in response to allergen sensitization, which is associated with the potentiation of airway hyperreactivity. These effects are one mechanism by which maternal asthma may influence the inheritance of asthma risk.
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Affiliation(s)
- Katie M Lebold
- Department of Emergency Medicine, Stanford University School of Medicine, Palo Alto, California, United States
| | - Madeline Cook
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Oregon Health and Science University, Portland, Oregon, United States
| | - Alexandra B Pincus
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Oregon Health and Science University, Portland, Oregon, United States
| | - Kimberly A Nevonen
- Knight Cardiovascular Institute Epigenetics Consortium, Oregon Health and Science University, Portland, Oregon, United States
| | - Brett A Davis
- Knight Cardiovascular Institute Epigenetics Consortium, Oregon Health and Science University, Portland, Oregon, United States
| | - Lucia Carbone
- Knight Cardiovascular Institute Epigenetics Consortium, Oregon Health and Science University, Portland, Oregon, United States
- Department of Medicine, Oregon Health and Science University, Portland, Oregon, United States
- Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, Oregon, United States
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, Oregon, United States
| | - Gina N Calco
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Oregon Health and Science University, Portland, Oregon, United States
| | - Aubrey B Pierce
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Oregon Health and Science University, Portland, Oregon, United States
| | - Becky J Proskocil
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Oregon Health and Science University, Portland, Oregon, United States
| | - Allison D Fryer
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Oregon Health and Science University, Portland, Oregon, United States
| | - David B Jacoby
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Oregon Health and Science University, Portland, Oregon, United States
| | - Matthew G Drake
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Oregon Health and Science University, Portland, Oregon, United States
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7
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Wang L, Zhou L, Zheng P, Mao Z, Liu H. Mild asthma is not mild: risk factors and predictive biomarkers for severe acute exacerbations and progression in mild asthma. Expert Rev Respir Med 2023; 17:1261-1271. [PMID: 38315090 DOI: 10.1080/17476348.2024.2314535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 02/01/2024] [Indexed: 02/07/2024]
Abstract
INTRODUCTION Asthma is a common chronic respiratory disease characterized by chronic airway inflammation, airway hyperresponsiveness, reversible airflow limitation, and airway remodeling. Mild asthma is the most common type of asthma, but it is the most neglected. Sometimes mild asthma can lead to acute severe exacerbations or even death. AREAS COVERED This article reviews the epidemiology, risk factors, and possible predictors of acute severe exacerbations and disease progression in mild asthma to improve the understanding of mild asthma and its severe acute exacerbations and progression. EXPERT OPINION There is a necessity to improve asthma patient categorization and redefine mild asthma's concept to heighten patient and physician attention. Identifying mild asthma patients that are highly vulnerable to severe acute exacerbations and researching the mechanisms are future prioritizations.
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Affiliation(s)
- Lingling Wang
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ling Zhou
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Pengdou Zheng
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhenyu Mao
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huiguo Liu
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Glatthardt T, van Tilburg Bernardes E, Arrieta MC. The mycobiome in atopic diseases: Inducers and triggers. J Allergy Clin Immunol 2023; 152:1368-1375. [PMID: 37865199 DOI: 10.1016/j.jaci.2023.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 10/03/2023] [Accepted: 10/17/2023] [Indexed: 10/23/2023]
Abstract
Atopic diseases are characterized by type 2 inflammation, with high levels of allergen-specific TH2 cell immune responses and elevated production of IgE. These common disorders have increased in incidence around the world, which is partly explained by detrimental disturbances to the early-life intestinal microbiome. Although most studies have focused exclusively on bacterial members of the microbiome, intestinal fungi have started to be recognized for their impact on host immune development and atopy pathogenesis. From this perspective, we review recent findings demonstrating the strong interactions between members of the mycobiome and the host immune system early in life, leading to immune tolerance during eubiosis or inducing sensitization and overt TH2 cell responses during dysbiosis. Current evidence places intestinal fungi as central players in the development of allergic diseases and potential targets for atopy prevention and treatments.
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Affiliation(s)
- Thais Glatthardt
- the Department of Physiology and Pharmacology, University of Calgary, Calgary; the International Microbiome Centre, Snyder Institute for Chronic Diseases, University of Calgary, Calgary; the Department of Pediatrics, Alberta Children Hospital Research Institute, University of Calgary, Calgary
| | - Erik van Tilburg Bernardes
- the Department of Physiology and Pharmacology, University of Calgary, Calgary; the International Microbiome Centre, Snyder Institute for Chronic Diseases, University of Calgary, Calgary; the Department of Pediatrics, Alberta Children Hospital Research Institute, University of Calgary, Calgary
| | - Marie-Claire Arrieta
- the Department of Physiology and Pharmacology, University of Calgary, Calgary; the International Microbiome Centre, Snyder Institute for Chronic Diseases, University of Calgary, Calgary; the Department of Pediatrics, Alberta Children Hospital Research Institute, University of Calgary, Calgary.
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9
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Garrett-Sinha LA. An update on the roles of transcription factor Ets1 in autoimmune diseases. WIREs Mech Dis 2023; 15:e1627. [PMID: 37565573 PMCID: PMC10842644 DOI: 10.1002/wsbm.1627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 07/19/2023] [Accepted: 07/20/2023] [Indexed: 08/12/2023]
Abstract
Transcription factors are crucial to regulate gene expression in immune cells and in other cell types. In lymphocytes, there are a large number of different transcription factors that are known to contribute to cell differentiation and the balance between quiescence and activation. One such transcription factor is E26 oncogene homolog 1 (Ets1). Ets1 expression is high in quiescent B and T lymphocytes and its levels are decreased upon activation. The human ETS1 gene has been identified as a susceptibility locus for many autoimmune and inflammatory diseases. In accord with this, gene knockout of Ets1 in mice leads to development of a lupus-like autoimmune disease, with enhanced activation and differentiation of both B cells and T cells. Prior reviews have summarized functional roles for Ets1 based on studies of Ets1 knockout mice. In recent years, numerous additional studies have been published that further validate ETS1 as a susceptibility locus for human diseases where immune dysregulation plays a causative role. In this update, new information that further links Ets1 to human autoimmune diseases is organized and collated to serve as a resource. This update also describes recent studies that seek to understand molecularly how Ets1 regulates immune cell activation, either using human cells and tissues or mouse models. This resource is expected to be useful to investigators seeking to understand how Ets1 may regulate the human immune response, particularly in terms of its roles in autoimmunity and inflammation. This article is categorized under: Immune System Diseases > Genetics/Genomics/Epigenetics Immune System Diseases > Molecular and Cellular Physiology.
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Affiliation(s)
- Lee Ann Garrett-Sinha
- Department of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, State University of New York, Buffalo, New York, USA
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Chandra A, Yoon S, Michieletto MF, Goldman N, Ferrari EK, Abedi M, Johnson I, Fasolino M, Pham K, Joannas L, Kee BL, Henao-Mejia J, Vahedi G. Quantitative control of Ets1 dosage by a multi-enhancer hub promotes Th1 cell differentiation and protects from allergic inflammation. Immunity 2023; 56:1451-1467.e12. [PMID: 37263273 PMCID: PMC10979463 DOI: 10.1016/j.immuni.2023.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 05/06/2023] [Accepted: 05/08/2023] [Indexed: 06/03/2023]
Abstract
Multi-enhancer hubs are spatial clusters of enhancers present across numerous developmental programs. Here, we studied the functional relevance of these three-dimensional structures in T cell biology. Mathematical modeling identified a highly connected multi-enhancer hub at the Ets1 locus, comprising a noncoding regulatory element that was a hotspot for sequence variation associated with allergic disease in humans. Deletion of this regulatory element in mice revealed that the multi-enhancer connectivity was dispensable for T cell development but required for CD4+ T helper 1 (Th1) differentiation. These mice were protected from Th1-mediated colitis but exhibited overt allergic responses. Mechanistically, the multi-enhancer hub controlled the dosage of Ets1 that was required for CTCF recruitment and assembly of Th1-specific genome topology. Our findings establish a paradigm wherein multi-enhancer hubs control cellular competence to respond to an inductive cue through quantitative control of gene dosage and provide insight into how sequence variation within noncoding elements at the Ets1 locus predisposes individuals to allergic responses.
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Affiliation(s)
- Aditi Chandra
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sora Yoon
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Michaël F Michieletto
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Division of Protective Immunity, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Naomi Goldman
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Emily K Ferrari
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Maryam Abedi
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Isabelle Johnson
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Maria Fasolino
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kenneth Pham
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Leonel Joannas
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Division of Protective Immunity, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Barbara L Kee
- Department of Pathology, Committees on Cancer Biology and Immunology, University of Chicago, Chicago, IL 60637, USA
| | - Jorge Henao-Mejia
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Division of Protective Immunity, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Golnaz Vahedi
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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11
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Wenger M, Grosse-Kathoefer S, Kraiem A, Pelamatti E, Nunes N, Pointner L, Aglas L. When the allergy alarm bells toll: The role of Toll-like receptors in allergic diseases and treatment. Front Mol Biosci 2023; 10:1204025. [PMID: 37426425 PMCID: PMC10325731 DOI: 10.3389/fmolb.2023.1204025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 06/08/2023] [Indexed: 07/11/2023] Open
Abstract
Toll-like receptors of the human immune system are specialized pathogen detectors able to link innate and adaptive immune responses. TLR ligands include among others bacteria-, mycoplasma- or virus-derived compounds such as lipids, lipo- and glycoproteins and nucleic acids. Not only are genetic variations in TLR-related genes associated with the pathogenesis of allergic diseases, including asthma and allergic rhinitis, their expression also differs between allergic and non-allergic individuals. Due to a complex interplay of genes, environmental factors, and allergen sources the interpretation of TLRs involved in immunoglobulin E-mediated diseases remains challenging. Therefore, it is imperative to dissect the role of TLRs in allergies. In this review, we discuss i) the expression of TLRs in organs and cell types involved in the allergic immune response, ii) their involvement in modulating allergy-associated or -protective immune responses, and iii) how differential activation of TLRs by environmental factors, such as microbial, viral or air pollutant exposure, results in allergy development. However, we focus on iv) allergen sources interacting with TLRs, and v) how targeting TLRs could be employed in novel therapeutic strategies. Understanding the contributions of TLRs to allergy development allow the identification of knowledge gaps, provide guidance for ongoing research efforts, and built the foundation for future exploitation of TLRs in vaccine design.
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12
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León B. A model of Th2 differentiation based on polarizing cytokine repression. Trends Immunol 2023; 44:399-407. [PMID: 37100645 PMCID: PMC10219849 DOI: 10.1016/j.it.2023.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 03/31/2023] [Accepted: 04/04/2023] [Indexed: 04/28/2023]
Abstract
Conventional dendritic cells (cDCs) can integrate multiple stimuli from the environment and provide three separate outputs in terms of antigen presentation, costimulation, and cytokine production; this guides the activation, expansion, and differentiation of distinct functional T helper subsets. Accordingly, the current dogma posits that T helper cell specification requires these three signals in sequence. Data show that T helper 2 (Th2) cell differentiation requires antigen presentation and costimulation from cDCs but does not require polarizing cytokines. In this opinion article, we propose that the 'third signal' driving Th2 cell responses is, in fact, the absence of polarizing cytokines; indeed, the secretion of the latter is actively suppressed in cDCs, concomitant with acquired pro-Th2 functions.
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Affiliation(s)
- Beatriz León
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL, USA.
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13
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Al S, Asilsoy S, Atay O, Kangallı O, Atakul G, Tezcan D, Uzuner N. Transepidermal water loss in allergic diseases. Allergy Asthma Proc 2023; 44:186-192. [PMID: 37160744 DOI: 10.2500/aap.2023.44.230010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Background: In recent years, the epithelial barrier hypothesis has been emphasized in the formation of allergic diseases. Transepidermal water loss (TEWL) occurs through diffusion and evaporation from the skin to the external environment. There are few studies on TEWL in allergic diseases. Objective: This study evaluated the relationship between patients with atopic diseases and healthy controls and hygiene habits in TEWL. Methods: The study was conducted on patients who were followed up for atopic disease (asthma, allergic rhinitis, immunoglobulin E mediated food allergy, and atopic dermatitis) and healthy children. TEWL measurement was in a room that was stable in terms of humidity and temperature by using a widely validated open room system. During the measurement, the participants reported their frequency of taking a shower and cleaning product use. Results: In the study group, TEWL was measured in 182 patients, and the median (min-max) TEWL was 21.3 g/hm² (7.8-101.3 g/hm²) in the disease group and 9.6 g/hm2 (3.9-30.3 g/hm²) in the control group (p < 0.001). The number of weekly baths was higher in the disease group (p < 0.001). The cutoff for atopic diseases was 13.2 g/hm² (sensitivity, 83.2%; specificity, 84.3%; p < 0.001). Conclusion: High TEWL in atopic diseases supports the epithelial barrier hypothesis associated with disease development. Further studies are necessary to determine the threshold between healthy controls and the patients in the disease group. The TEWL measurement can be an effective method to determine the risk groups. Moreover, further studies related to factors on TEWL and treatment methods to reduce this loss are necessary, too.
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Affiliation(s)
- Serdar Al
- From the Department of Pediatric Allergy and Clinical Immunology, Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey
| | - Suna Asilsoy
- Department of Pediatric Allergy and Clinical Immunology, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey
| | - Ozge Atay
- Department of Pediatric Allergy and Clinical Immunology, Dr. Behçet Uz Child Disease and Pediatric Surgery Training and Research Hospital, Izmir, Turkey, and
| | - Ozge Kangallı
- Department of Pediatric Allergy and Clinical Immunology, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey
| | - Gizem Atakul
- Specialist of Pediatric Immunology and Allergy Diseases, Istanbul Allergy Center, Istanbul, Turkey
| | - Dilek Tezcan
- Department of Pediatric Allergy and Clinical Immunology, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey
| | - Nevin Uzuner
- Department of Pediatric Allergy and Clinical Immunology, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey
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14
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Marenholz I, Arnau-Soler A, Rosillo-Salazar OD, Lee YA. New insights from genetic studies of eczema. MED GENET-BERLIN 2023; 35:33-45. [PMID: 38835414 PMCID: PMC10842541 DOI: 10.1515/medgen-2023-2010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
Genome-wide association studies (GWAS) provided fundamental insight into the genetic determinants of complex allergic diseases. For eczema, 58 susceptibility loci were reported. Protein-changing variants were associated with eczema at genome-wide significance at 12 loci. The majority of risk variants were, however, located in non-coding, regulatory regions of the genome. Prioritized target genes were enriched in pathways of the immune response and of epithelial barrier function. Interestingly, a large overlap in the genetic architecture underlying different allergic diseases was identified pointing to common pathomechanisms for eczema, asthma, hay fever, and food allergy. Here, we review the most recent findings from GWAS for eczema including the role of rare variants and genetic heterogeneity in ethnically diverse populations. In addition, we provide an overview of genes underlying Mendelian disorders featuring eczematous skin inflammation.
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Affiliation(s)
- Ingo Marenholz
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) Robert-Rössle-Str. 10 13125 Berlin Germany
| | - Aleix Arnau-Soler
- Max Delbrück Center for Molecular Medicine in Robert-Rössle-Str. 10 13125 Berlin Germany
| | - Oscar Daniel Rosillo-Salazar
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) Robert-Rössle-Str. 10 13125 Berlin Germany
| | - Young-Ae Lee
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) Robert-Rössle-Str. 10 13125 Berlin Germany
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15
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Wise SK, Damask C, Roland LT, Ebert C, Levy JM, Lin S, Luong A, Rodriguez K, Sedaghat AR, Toskala E, Villwock J, Abdullah B, Akdis C, Alt JA, Ansotegui IJ, Azar A, Baroody F, Benninger MS, Bernstein J, Brook C, Campbell R, Casale T, Chaaban MR, Chew FT, Chambliss J, Cianferoni A, Custovic A, Davis EM, DelGaudio JM, Ellis AK, Flanagan C, Fokkens WJ, Franzese C, Greenhawt M, Gill A, Halderman A, Hohlfeld JM, Incorvaia C, Joe SA, Joshi S, Kuruvilla ME, Kim J, Klein AM, Krouse HJ, Kuan EC, Lang D, Larenas-Linnemann D, Laury AM, Lechner M, Lee SE, Lee VS, Loftus P, Marcus S, Marzouk H, Mattos J, McCoul E, Melen E, Mims JW, Mullol J, Nayak JV, Oppenheimer J, Orlandi RR, Phillips K, Platt M, Ramanathan M, Raymond M, Rhee CS, Reitsma S, Ryan M, Sastre J, Schlosser RJ, Schuman TA, Shaker MS, Sheikh A, Smith KA, Soyka MB, Takashima M, Tang M, Tantilipikorn P, Taw MB, Tversky J, Tyler MA, Veling MC, Wallace D, Wang DY, White A, Zhang L. International consensus statement on allergy and rhinology: Allergic rhinitis - 2023. Int Forum Allergy Rhinol 2023; 13:293-859. [PMID: 36878860 DOI: 10.1002/alr.23090] [Citation(s) in RCA: 79] [Impact Index Per Article: 79.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 11/11/2022] [Accepted: 09/13/2022] [Indexed: 03/08/2023]
Abstract
BACKGROUND In the 5 years that have passed since the publication of the 2018 International Consensus Statement on Allergy and Rhinology: Allergic Rhinitis (ICAR-Allergic Rhinitis 2018), the literature has expanded substantially. The ICAR-Allergic Rhinitis 2023 update presents 144 individual topics on allergic rhinitis (AR), expanded by over 40 topics from the 2018 document. Originally presented topics from 2018 have also been reviewed and updated. The executive summary highlights key evidence-based findings and recommendation from the full document. METHODS ICAR-Allergic Rhinitis 2023 employed established evidence-based review with recommendation (EBRR) methodology to individually evaluate each topic. Stepwise iterative peer review and consensus was performed for each topic. The final document was then collated and includes the results of this work. RESULTS ICAR-Allergic Rhinitis 2023 includes 10 major content areas and 144 individual topics related to AR. For a substantial proportion of topics included, an aggregate grade of evidence is presented, which is determined by collating the levels of evidence for each available study identified in the literature. For topics in which a diagnostic or therapeutic intervention is considered, a recommendation summary is presented, which considers the aggregate grade of evidence, benefit, harm, and cost. CONCLUSION The ICAR-Allergic Rhinitis 2023 update provides a comprehensive evaluation of AR and the currently available evidence. It is this evidence that contributes to our current knowledge base and recommendations for patient evaluation and treatment.
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Affiliation(s)
- Sarah K Wise
- Otolaryngology-HNS, Emory University, Atlanta, Georgia, USA
| | - Cecelia Damask
- Otolaryngology-HNS, Private Practice, University of Central Florida, Lake Mary, Florida, USA
| | - Lauren T Roland
- Otolaryngology-HNS, Washington University, St. Louis, Missouri, USA
| | - Charles Ebert
- Otolaryngology-HNS, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Joshua M Levy
- Otolaryngology-HNS, Emory University, Atlanta, Georgia, USA
| | - Sandra Lin
- Otolaryngology-HNS, University of Wisconsin, Madison, Wisconsin, USA
| | - Amber Luong
- Otolaryngology-HNS, McGovern Medical School of the University of Texas, Houston, Texas, USA
| | - Kenneth Rodriguez
- Otolaryngology-HNS, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | - Ahmad R Sedaghat
- Otolaryngology-HNS, University of Cincinnati, Cincinnati, Ohio, USA
| | - Elina Toskala
- Otolaryngology-HNS, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | | | - Baharudin Abdullah
- Otolaryngology-HNS, Universiti Sains Malaysia, Kubang, Kerian, Kelantan, Malaysia
| | - Cezmi Akdis
- Immunology, Infectious Diseases, Swiss Institute of Allergy and Asthma Research, Davos, Switzerland
| | - Jeremiah A Alt
- Otolaryngology-HNS, University of Utah, Salt Lake City, Utah, USA
| | | | - Antoine Azar
- Allergy/Immunology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Fuad Baroody
- Otolaryngology-HNS, University of Chicago, Chicago, Illinois, USA
| | | | | | - Christopher Brook
- Otolaryngology-HNS, Harvard University, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Raewyn Campbell
- Otolaryngology-HNS, Macquarie University, Sydney, NSW, Australia
| | - Thomas Casale
- Allergy/Immunology, University of South Florida College of Medicine, Tampa, Florida, USA
| | - Mohamad R Chaaban
- Otolaryngology-HNS, Cleveland Clinic, Case Western Reserve University, Cleveland, Ohio, USA
| | - Fook Tim Chew
- Allergy/Immunology, Genetics, National University of Singapore, Singapore, Singapore
| | - Jeffrey Chambliss
- Allergy/Immunology, University of Texas Southwestern, Dallas, Texas, USA
| | - Antonella Cianferoni
- Allergy/Immunology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | | | | | | | - Anne K Ellis
- Allergy/Immunology, Queens University, Kingston, ON, Canada
| | | | - Wytske J Fokkens
- Otorhinolaryngology, Amsterdam University Medical Centres, Amsterdam, Netherlands
| | | | - Matthew Greenhawt
- Allergy/Immunology, Pediatrics, University of Colorado, Children's Hospital Colorado, Aurora, Colorado, USA
| | - Amarbir Gill
- Otolaryngology-HNS, University of Michigan, Ann Arbor, Michigan, USA
| | - Ashleigh Halderman
- Otolaryngology-HNS, University of Texas Southwestern, Dallas, Texas, USA
| | - Jens M Hohlfeld
- Respiratory Medicine, Fraunhofer Institute for Toxicology and Experimental Medicine ITEM, Hannover Medical School, German Center for Lung Research, Hannover, Germany
| | | | - Stephanie A Joe
- Otolaryngology-HNS, University of Illinois Chicago, Chicago, Illinois, USA
| | - Shyam Joshi
- Allergy/Immunology, Oregon Health and Science University, Portland, Oregon, USA
| | | | - Jean Kim
- Otolaryngology-HNS, Johns Hopkins University, Baltimore, Maryland, USA
| | - Adam M Klein
- Otolaryngology-HNS, Emory University, Atlanta, Georgia, USA
| | - Helene J Krouse
- Otorhinolaryngology Nursing, University of Texas Rio Grande Valley, Edinburg, Texas, USA
| | - Edward C Kuan
- Otolaryngology-HNS, University of California Irvine, Orange, California, USA
| | - David Lang
- Allergy/Immunology, Cleveland Clinic, Cleveland, Ohio, USA
| | | | | | - Matt Lechner
- Otolaryngology-HNS, University College London, Barts Health NHS Trust, London, UK
| | - Stella E Lee
- Otolaryngology-HNS, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Victoria S Lee
- Otolaryngology-HNS, University of Illinois Chicago, Chicago, Illinois, USA
| | - Patricia Loftus
- Otolaryngology-HNS, University of California San Francisco, San Francisco, California, USA
| | - Sonya Marcus
- Otolaryngology-HNS, Stony Brook University, Stony Brook, New York, USA
| | - Haidy Marzouk
- Otolaryngology-HNS, State University of New York Upstate, Syracuse, New York, USA
| | - Jose Mattos
- Otolaryngology-HNS, University of Virginia, Charlottesville, Virginia, USA
| | - Edward McCoul
- Otolaryngology-HNS, Ochsner Clinic, New Orleans, Louisiana, USA
| | - Erik Melen
- Pediatric Allergy, Karolinska Institutet, Stockholm, Sweden
| | - James W Mims
- Otolaryngology-HNS, Wake Forest University, Winston Salem, North Carolina, USA
| | - Joaquim Mullol
- Otorhinolaryngology, Hospital Clinic Barcelona, Barcelona, Spain
| | - Jayakar V Nayak
- Otolaryngology-HNS, Stanford University, Palo Alto, California, USA
| | - John Oppenheimer
- Allergy/Immunology, Rutgers, State University of New Jersey, Newark, New Jersey, USA
| | | | - Katie Phillips
- Otolaryngology-HNS, University of Cincinnati, Cincinnati, Ohio, USA
| | - Michael Platt
- Otolaryngology-HNS, Boston University, Boston, Massachusetts, USA
| | | | | | - Chae-Seo Rhee
- Rhinology/Allergy, Seoul National University Hospital and College of Medicine, Seoul, Korea
| | - Sietze Reitsma
- Otolaryngology-HNS, University of Amsterdam, Amsterdam, Netherlands
| | - Matthew Ryan
- Otolaryngology-HNS, University of Texas Southwestern, Dallas, Texas, USA
| | - Joaquin Sastre
- Allergy, Fundacion Jiminez Diaz, University Autonoma de Madrid, Madrid, Spain
| | - Rodney J Schlosser
- Otolaryngology-HNS, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Theodore A Schuman
- Otolaryngology-HNS, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Marcus S Shaker
- Allergy/Immunology, Dartmouth Geisel School of Medicine, Lebanon, New Hampshire, USA
| | - Aziz Sheikh
- Primary Care, University of Edinburgh, Edinburgh, Scotland
| | - Kristine A Smith
- Otolaryngology-HNS, University of Utah, Salt Lake City, Utah, USA
| | - Michael B Soyka
- Otolaryngology-HNS, University of Zurich, University Hospital of Zurich, Zurich, Switzerland
| | - Masayoshi Takashima
- Otolaryngology-HNS, Houston Methodist Academic Institute, Houston, Texas, USA
| | - Monica Tang
- Allergy/Immunology, University of California San Francisco, San Francisco, California, USA
| | | | - Malcolm B Taw
- Integrative East-West Medicine, University of California Los Angeles, Westlake Village, California, USA
| | - Jody Tversky
- Allergy/Immunology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Matthew A Tyler
- Otolaryngology-HNS, University of Minnesota, Minneapolis, Minnesota, USA
| | - Maria C Veling
- Otolaryngology-HNS, University of Texas Southwestern, Dallas, Texas, USA
| | - Dana Wallace
- Allergy/Immunology, Nova Southeastern University, Ft. Lauderdale, Florida, USA
| | - De Yun Wang
- Otolaryngology-HNS, National University of Singapore, Singapore, Singapore
| | - Andrew White
- Allergy/Immunology, Scripps Clinic, San Diego, California, USA
| | - Luo Zhang
- Otolaryngology-HNS, Beijing Tongren Hospital, Beijing, China
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16
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Xin Z, You L, Na F, Li J, Chen M, Song J, Bai L, Chen J, Zhou J, Ying B. Immunogenetic variations predict immune-related adverse events for PD-1/PD-L1 inhibitors. Eur J Cancer 2023; 184:124-136. [PMID: 36917924 DOI: 10.1016/j.ejca.2023.01.034] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 01/30/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND PD-1/PD-L1 inhibitors have brought remarkable benefits but can cause profound immune-related adverse events (irAEs). The host immunogenetic background is likely to play a role in irAE susceptibility. In this study, we aimed to identify potential immunogenetic biomarkers to predict irAEs. METHODS Patients with solid tumours receiving PD-1/PD-L1 blockade were recruited and followed up. Genes considered pivotal contributors to tumour-immunity and autoimmune diseases were screened out via protein-protein interaction network and Cytoscape. Consequently, thirty-nine variants in eighteen genes were genotyped using the multiplex genotyping assay. Association analysis between genetic variants and irAEs as well as irAEs-free survival was performed. RESULTS Four immunogenetic variants as predictive biomarkers of irAEs were identified. The C allele of Mitogen-Activated Protein Kinase 1 (MAPK1) rs3810610 (odds ratio [OR] = 1.495, 95% confidence interval [CI] = 1.093-2.044, P = 0.012) was a risk predictor while the A allele of PTPRC rs6428474 (OR = 0.717, 95% CI = 0.521-0.987, P = 0.041) was a protective factor for all-grade irAEs. The A allele of ADAD1 rs17388568 (OR = 2.599, 95% CI = 1.355-4.983, P = 0.003) increased the risk while the G allele of IL6 rs1800796 (OR = 0.425, 95% CI = 0.205-0.881, P = 0.018) protected patients from high-grade irAEs. Significant immunogenetic variants reached a similar tendency in PD-1 blockade or lung cancer subgroups. In multivariate Cox regression analysis, the MAPK1 rs3810610 was an independent factor regarding all-grade irAEs-free survival (CC versus CT or TT: hazard ratio [HR] = 0.71, 95% CI = 0.52-0.99, P = 0.042). ADAD1 rs17388568 (AA versus AG or GG: HR = 0.11, 95% CI = 0.025-0.49, P = 0.004) and IL6 rs1800796 (GG or GC versus CC: HR = 3.10, 95% CI = 1.315-7.29, P = 0.01) were independent variables for high-grade irAEs-free survival. CONCLUSION We first identified several immunogenetic polymorphisms associated with irAEs and irAEs-free survival in PD-1/PD-L1 blockade-treated tumour patients, and they may serve as potential predictive biomarkers.
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Affiliation(s)
- Zhaodan Xin
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, PR China
| | - Liting You
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, PR China; Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, PR China
| | - Feifei Na
- Department of Thoracic Cancer, West China Hospital, Sichuan University, Chengdu, 610041, PR China
| | - Jin Li
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, PR China
| | - Min Chen
- Department of Laboratory Medicine, The First Affiliated Hospital of Hainan Medical College, Haikou, Hainan Province 570100, PR China
| | - Jiajia Song
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, PR China
| | - Ling Bai
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, PR China
| | - Jie Chen
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, PR China.
| | - Juan Zhou
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, PR China.
| | - Binwu Ying
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, PR China.
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17
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León B. Understanding the development of Th2 cell-driven allergic airway disease in early life. FRONTIERS IN ALLERGY 2023; 3:1080153. [PMID: 36704753 PMCID: PMC9872036 DOI: 10.3389/falgy.2022.1080153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 12/21/2022] [Indexed: 01/12/2023] Open
Abstract
Allergic diseases, including atopic dermatitis, allergic rhinitis, asthma, and food allergy, are caused by abnormal responses to relatively harmless foreign proteins called allergens found in pollen, fungal spores, house dust mites (HDM), animal dander, or certain foods. In particular, the activation of allergen-specific helper T cells towards a type 2 (Th2) phenotype during the first encounters with the allergen, also known as the sensitization phase, is the leading cause of the subsequent development of allergic disease. Infants and children are especially prone to developing Th2 cell responses after initial contact with allergens. But in addition, the rates of allergic sensitization and the development of allergic diseases among children are increasing in the industrialized world and have been associated with living in urban settings. Particularly for respiratory allergies, greater susceptibility to developing allergic Th2 cell responses has been shown in children living in urban environments containing low levels of microbial contaminants, principally bacterial endotoxins [lipopolysaccharide (LPS)], in the causative aeroallergens. This review highlights the current understanding of the factors that balance Th2 cell immunity to environmental allergens, with a particular focus on the determinants that program conventional dendritic cells (cDCs) toward or away from a Th2 stimulatory function. In this context, it discusses transcription factor-guided functional specialization of type-2 cDCs (cDC2s) and how the integration of signals derived from the environment drives this process. In addition, it analyzes observational and mechanistic studies supporting an essential role for innate sensing of microbial-derived products contained in aeroallergens in modulating allergic Th2 cell immune responses. Finally, this review examines whether hyporesponsiveness to microbial stimulation, particularly to LPS, is a risk factor for the induction of Th2 cell responses and allergic sensitization during infancy and early childhood and the potential factors that may affect early-age response to LPS and other environmental microbial components.
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Affiliation(s)
- Beatriz León
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL, United States
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18
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Odimba U, Senthilselvan A, Farrell J, Gao Z. Identification of Sex-Specific Genetic Polymorphisms Associated with Asthma in Middle-Aged and Older Canadian Adults: An Analysis of CLSA Data. J Asthma Allergy 2023; 16:553-566. [PMID: 37197194 PMCID: PMC10184860 DOI: 10.2147/jaa.s404670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 04/29/2023] [Indexed: 05/19/2023] Open
Abstract
Purpose Asthma is a chronic heterogeneous respiratory disease resulting from a complex interplay between genetic variations and environmental exposures. There are sex disparities in the prevalence and severity of asthma in males and females. Asthma prevalence is higher in males during childhood but increases in females in adulthood. The mechanisms underlying these sex differences are not well understood; nevertheless, genetic variations, hormonal changes, and environmental influences are thought to play important roles. This study aimed to identify sex-specific genetic variants associated with asthma using CLSA genomic and questionnaire data. Methods First, we conducted a genome-wide SNP-by-sex interaction analysis on 23,323 individuals, examining 416,562 single nucleotide polymorphisms (SNPs) after quality control, followed by sex-stratified survey logistic regression of SNPs with interaction p-value less than 10¯5. Results Out of the 49 SNPs with interaction p-value less than 10-5, a sex-stratified survey logistic regression showed that five male-specific SNPs (rs6701638, rs17071077, rs254804, rs6013213, and rs2968822) in/near KIF26B, NMBR, PEPD, RTN4, and NFATC2 loci, and three female-specific SNPs (rs2968801, rs2864052, and rs9525931) in/near RTN4, and SERP2 loci were significantly associated with asthma after Bonferroni correction. An SNP (rs36213) in the EPHB1 gene was significantly associated with an increased risk of asthma in males [OR=1.35, 95% CI (1.14, 1.60)] but with a reduced risk of asthma in females [OR=0.84, 95% CI (0.76, 0.92)] after Bonferroni correction. Conclusion We discovered novel sex-specific genetic markers in/near the KIF26B, RTN4, EPHB1, NMBR, SERP2, PEPD, and NFATC2 genes that could potentially shed light on the sex differences in asthma susceptibility in males and females. Future mechanistic studies are required to understand better the underlying sex-related pathways of the identified loci in asthma development.
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Affiliation(s)
- Ugochukwu Odimba
- Clinical Epidemiology Unit, Division of Community Health and Humanities, Faculty of Medicine, Memorial University, St. John’s, Newfoundland and Labrador, Canada
| | | | - Jamie Farrell
- Clinical Epidemiology Unit, Division of Community Health and Humanities, Faculty of Medicine, Memorial University, St. John’s, Newfoundland and Labrador, Canada
- Faculty of Medicine, Health Science Centre (Respirology Department), Memorial University, St John’s, Newfoundland and Labrador, Canada
| | - Zhiwei Gao
- Clinical Epidemiology Unit, Division of Community Health and Humanities, Faculty of Medicine, Memorial University, St. John’s, Newfoundland and Labrador, Canada
- Correspondence: Zhiwei Gao, Clinical Epidemiology Unit, Division of Community Health and Humanities, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador, A1B 3V6, Canada, Tel +17098646523, Email
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19
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Ma Y, Xiang F. Discovery of genomes of Neanderthal, Denisova and its impact on modern human. CHINESE SCIENCE BULLETIN-CHINESE 2022. [DOI: 10.1360/tb-2022-1134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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20
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Ruan W, Liu R, Yang H, Ren J, Liu Y. Genetic Loci in Phospholipase C-Like 1 ( PLCL1) are Protective Factors for Allergic Rhinitis in Han Population of Northern Shaanxi, China. J Asthma Allergy 2022; 15:1321-1335. [PMID: 36132977 PMCID: PMC9482964 DOI: 10.2147/jaa.s372314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 08/29/2022] [Indexed: 11/23/2022] Open
Abstract
Background Allergic rhinitis (AR) is a common allergic disease in otolaryngology. Its pathogenesis is still unclear. PLC1 plays a key role in calcium homeostasis and immune response, which is potentially related to AR. We aimed to explore the association between PLCL1 genetic loci and susceptibility to AR. Methods We recruited 1975 volunteers to perform an association analysis through SNPStats online software. False-positive report probability (FPRP) analysis was used to detect whether the positive findings were worth noting. Linkage disequilibrium and haplotype analysis were completed through Haploview and SNPStats. The influence of SNP-SNP interaction on AR susceptibility was evaluated through multifactor dimensionality reduction (MDR). Results The results showed that four genetic loci in PLCL1 (rs2139049, rs212164068, rs2228135, and rs6738825) are associated with AR susceptibility under multiple genetic models. Allele "A" of PLCL1-rs2139049 (OR = 0.85, p = 0.031) or of -rs212164068 (OR = 0.85, p = 0.030), and allele "G" of PLCL1-rs6738825 (OR = 0.84, p = 0.022) are significantly associated with reduced AR risk. PLCL1-rs2228135 is associated with an increased risk of AR in males or participants older than 43 years of age. FPRP analysis showed that most of positive results are noteworthy findings. Three loci model composed of rs2139049, rs2164068, and rs2228135 is the best model for predicting AR risk (p = 0.0022). In addition, the haplotype "Grs2139049Ars6738825Ars2164068Ars2228135" (OR = 0.50, p = 0.033) can reduce the AR risk. Conclusion Allele "A" of PLCL1-rs2139049, allele "A" of -rs212164068, and allele "G" of PLCL1-rs6738825 are protective factors of AR in Han population from northern Shaanxi, China.
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Affiliation(s)
- Wenxia Ruan
- Clinical Laboratory, Shenmu Hospital, The Affiliated Shenmu Hospital of Northwest University, Shenmu, Shaanxi, 719300, People's Republic of China
| | - Rui Liu
- Department of Science and Education, Shenmu Hospital, The Affiliated Shenmu Hospital of Northwest University, Shenmu, Shaanxi, 719300, People's Republic of China
| | - Huimin Yang
- Clinical Laboratory, Shenmu Hospital, The Affiliated Shenmu Hospital of Northwest University, Shenmu, Shaanxi, 719300, People's Republic of China
| | - Jiajia Ren
- Department of Science and Education, Shenmu Hospital, The Affiliated Shenmu Hospital of Northwest University, Shenmu, Shaanxi, 719300, People's Republic of China
| | - Yonglin Liu
- Department of Science and Education, Shenmu Hospital, The Affiliated Shenmu Hospital of Northwest University, Shenmu, Shaanxi, 719300, People's Republic of China
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21
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Hawerkamp HC, Fahy CMR, Fallon PG, Schwartz C. Break on through: The role of innate immunity and barrier defence in atopic dermatitis and psoriasis. SKIN HEALTH AND DISEASE 2022; 2:e99. [PMID: 35677926 PMCID: PMC9168024 DOI: 10.1002/ski2.99] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 01/07/2022] [Accepted: 01/23/2022] [Indexed: 12/20/2022]
Abstract
The human skin can be affected by a multitude of diseases including inflammatory conditions such as atopic dermatitis and psoriasis. Here, we describe how skin barrier integrity and immunity become dysregulated during these two most common inflammatory skin conditions. We summarise recent advances made in the field of the skin innate immune system and its interaction with adaptive immunity. We review gene variants associated with atopic dermatitis and psoriasis that affect innate immune mechanisms and skin barrier integrity. Finally, we discuss how current and future therapies may affect innate immune responses and skin barrier integrity in a generalized or more targeted approach in order to ameliorate disease in patients.
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Affiliation(s)
- H C Hawerkamp
- Trinity Biomedical Sciences Institute, School of Medicine, Trinity College Dublin Dublin Ireland
| | - C M R Fahy
- Paediatric Dermatology Children's Health Ireland at Crumlin Dublin Ireland.,Royal United Hospitals NHS Foundation Trust Bath UK
| | - P G Fallon
- Trinity Biomedical Sciences Institute, School of Medicine, Trinity College Dublin Dublin Ireland.,National Children's Research Centre Our Lady's Children's Hospital Dublin Ireland.,Clinical Medicine Trinity College Dublin Dublin Ireland
| | - C Schwartz
- Trinity Biomedical Sciences Institute, School of Medicine, Trinity College Dublin Dublin Ireland.,Mikrobiologisches Institut - Klinische Mikrobiologie, Immunologie und Hygiene Universitätsklinikum Erlangen and Friedrich-Alexander Universität (FAU) Erlangen-Nürnberg Erlangen Germany.,Medical Immunology Campus Erlangen FAU Erlangen-Nürnberg Erlangen Germany
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22
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Johnson RK, Brunetti T, Quinn K, Doenges K, Campbell M, Arehart C, Taub MA, Mathias RA, Reisdorph N, Barnes KC, Daya M. Discovering metabolite quantitative trait loci in asthma using an isolated population. J Allergy Clin Immunol 2022; 149:1807-1811.e16. [PMID: 34780848 PMCID: PMC9081120 DOI: 10.1016/j.jaci.2021.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 10/28/2021] [Accepted: 11/05/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND Integration of metabolomics with genetics may advance understanding of disease pathogenesis but has been underused in asthma genetic studies. OBJECTIVE We sought to discover new genetic effects in asthma and to characterize the molecular consequences of asthma genetic risk through integration with the metabolome in a homogeneous population. METHODS From fasting serum samples collected on 348 Tangier Island residents, we quantified 2612 compounds using untargeted metabolomics. Genotyping was performed using Illumina's MEGA array imputed to the TOPMed reference panel. To prioritize metabolites for genome-wide association analysis, we performed a metabolome-wide association study with asthma, selecting asthma-associated metabolites with heritability q value less than 0.01 for genome-wide association analysis. We also tested the association between all metabolites and 8451 candidate asthma single nucleotide polymorphisms previously associated with asthma in the UK Biobank. We followed up significant associations by characterizing shared genetic signal for metabolites and asthma using colocalization analysis. For detailed Methods, please see this article's Online Repository at www.jacionline.org. RESULTS A total of 60 metabolites were associated with asthma (P < .01), including 40 heritable metabolites tested in genome-wide association analysis. We observed a strong association peak for the endocannabinoid linoleoyl ethanolamide on chromosome 6 in VNN1 (P < 2.7 × 10-9). We found strong evidence (colocalization posterior probability >75%) for a shared causal variant between 3 metabolites and asthma, including the polyamine acisoga and variants in LPP, and derivative leukotriene B4 and intergenic variants in chr10p14. CONCLUSIONS We identified novel metabolite quantitative trait loci with asthma associations. Identification and characterization of these genetically driven metabolites may provide insight into the functional consequences of genetic risk factors for asthma.
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Affiliation(s)
- Randi K Johnson
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo.
| | - Tonya Brunetti
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo
| | - Kevin Quinn
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colo
| | - Katrina Doenges
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colo
| | - Monica Campbell
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo
| | - Christopher Arehart
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo
| | - Margaret A Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Md
| | - Rasika A Mathias
- Division of Allergy & Clinical Immunology, Department of Medicine, Johns Hopkins University, Baltimore, Md
| | - Nichole Reisdorph
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colo
| | - Kathleen C Barnes
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo
| | - Michelle Daya
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo
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23
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Kim C, Kim YJ, Choi W, Jang HM, Hwang MY, Jung S, Lim H, Hong SB, Yoon K, Kim BJ, Park HY, Han B. Phenome-wide association study of the major histocompatibility complex region in the Korean population identifies novel association signals. Hum Mol Genet 2022; 31:2655-2667. [PMID: 35043955 DOI: 10.1093/hmg/ddac016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 11/11/2021] [Accepted: 01/11/2022] [Indexed: 11/13/2022] Open
Abstract
Human leukocyte antigen (HLA) gene variants in the major histocompatibility complex (MHC) region are associated with numerous complex human diseases and quantitative traits. Previous phenome-wide association studies (PheWAS) for this region demonstrated that HLA association patterns to the phenome have both population-specific and population-shared components. We performed MHC PheWAS in the Korean population by analyzing associations between phenotypes and genetic variants in the MHC region using the Korea Biobank Array project data samples from the Korean Genome and Epidemiology Study (KoGES) cohorts. Using this single-population dataset, we curated and analyzed 82 phenotypes for 125 673 Korean individuals after imputing HLA using CookHLA, a recently developed imputation framework. More than one-third of these phenotypes showed significant associations, confirming 56 known associations and discovering 13 novel association signals that were not reported previously. In addition, we analyzed heritability explained by the variants in the MHC region and genetic correlations among phenotypes based on the MHC variants.
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Affiliation(s)
- Chanwoo Kim
- Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA 98195, USA
| | - Young Jin Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do 28159,, Republic of Korea
| | - Wanson Choi
- Department of Biomedical Sciences, BK21 Plus Biomedical Science Project, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Hye-Mi Jang
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do 28159,, Republic of Korea
| | - Mi Yeong Hwang
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do 28159,, Republic of Korea
| | - Sunwoo Jung
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Hyunjoon Lim
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Sang Bin Hong
- Department of Neurology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Kyungheon Yoon
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do 28159,, Republic of Korea
| | - Bong-Jo Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do 28159,, Republic of Korea
| | - Hyun-Young Park
- Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do 28159, Republic of Korea
| | - Buhm Han
- Department of Biomedical Sciences, BK21 Plus Biomedical Science Project, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Republic of Korea
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24
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Radakovics K, Battin C, Leitner J, Geiselhart S, Paster W, Stöckl J, Hoffmann-Sommergruber K, Steinberger P. A Highly Sensitive Cell-Based TLR Reporter Platform for the Specific Detection of Bacterial TLR Ligands. Front Immunol 2022; 12:817604. [PMID: 35087538 PMCID: PMC8786796 DOI: 10.3389/fimmu.2021.817604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 12/17/2021] [Indexed: 12/04/2022] Open
Abstract
Toll-like receptors (TLRs) are primary pattern recognition receptors (PRRs), which recognize conserved microbial components. They play important roles in innate immunity but also in the initiation of adaptive immune responses. Impurities containing TLR ligands are a frequent problem in research but also for the production of therapeutics since TLR ligands can exert strong immunomodulatory properties even in minute amounts. Consequently, there is a need for sensitive tools to detect TLR ligands with high sensitivity and specificity. Here we describe the development of a platform based on a highly sensitive NF-κB::eGFP reporter Jurkat JE6-1 T cell line for the detection of TLR ligands. Ectopic expression of TLRs and their coreceptors and CRISPR/Cas9-mediated deletion of endogenously expressed TLRs was deployed to generate reporter cell lines selectively expressing functional human TLR2/1, TLR2/6, TLR4 or TLR5 complexes. Using well-defined agonists for the respective TLR complexes we could demonstrate high specificity and sensitivity of the individual reporter lines. The limit of detection for LPS was below 1 pg/mL and ligands for TLR2/1 (Pam3CSK4), TLR2/6 (Fsl-1) and TLR5 (flagellin) were detected at concentrations as low as 1.0 ng/mL, 0.2 ng/mL and 10 pg/mL, respectively. We showed that the JE6-1 TLR reporter cells have the utility to characterize different commercially available TLR ligands as well as more complex samples like bacterially expressed proteins or allergen extracts. Impurities in preparations of microbial compounds as well as the lack of specificity of detection systems can lead to erroneous results and currently there is no consensus regarding the involvement of TLRs in the recognition of several molecules with proposed immunostimulatory functions. This reporter system represents a highly suitable tool for the definition of structural requirements for agonists of distinct TLR complexes.
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Affiliation(s)
- Katharina Radakovics
- Division of Immune Receptors and T Cell Activation, Institute of Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Claire Battin
- Division of Immune Receptors and T Cell Activation, Institute of Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Judith Leitner
- Division of Immune Receptors and T Cell Activation, Institute of Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Sabine Geiselhart
- Department of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Wolfgang Paster
- Clinical Cell Biology and FACS Core Unit, St. Anna Children´s Cancer Research Institute (CCRI), Vienna, Austria
| | - Johannes Stöckl
- Division Regulation of the Immune System, Institute of Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Karin Hoffmann-Sommergruber
- Department of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Peter Steinberger
- Division of Immune Receptors and T Cell Activation, Institute of Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
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25
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Chun YH, Kim M, Kim HB, Rha YH, Park Y, Park YM, Sung M, Shin YH, Yum HY, Lee KS, Lee YJ, Jee HM, Choi BS, Choi SH, Kim HH. Risk factors and protective factors in pediatric patients with allergic rhinitis. ALLERGY ASTHMA & RESPIRATORY DISEASE 2022. [DOI: 10.4168/aard.2022.10.2.73] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Affiliation(s)
- Yoon Hong Chun
- Department of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Minji Kim
- Department of Pediatrics, Chungnam National University Sejong Hospital, Chungnam National University College of Medicine, Sejong, Korea
| | - Hyo-Bin Kim
- Department of Pediatrics, Asthma and Allergy Center, Inje University Sanggye Paik Hospital, Seoul, Korea
| | - Yeong-Ho Rha
- Department of Pediatrics, School of Medicine, Kyung Hee University, Seoul, Korea
| | - Yang Park
- Department of Pediatrics, Wonkwang University School of Medicine, Iksan, Korea
| | - Yong Mean Park
- Department of Pediatrics, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Myongsoon Sung
- Department of Pediatrics, Soonchunhyang University Gumi Hospital, Gumi, Korea
| | - Youn Ho Shin
- Department of Pediatrics, CHA Gangnam Medical Center, CHA University School of Medicine, Seoul, Korea
| | - Hye Yung Yum
- Department of Pediatrics, Seoul Medical Center, Seoul, Korea
| | - Kyung Suk Lee
- Department of Pediatrics, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
| | - Yong Ju Lee
- Department of Pediatrics, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Hye Mi Jee
- Department of Pediatrics, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - Bong Seok Choi
- Department of Pediatrics, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Sun Hee Choi
- Department of Pediatrics, School of Medicine, Kyung Hee University, Seoul, Korea
| | - Hyun Hee Kim
- Department of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Korea
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26
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Becker J, Burik CAP, Goldman G, Wang N, Jayashankar H, Bennett M, Belsky DW, Karlsson Linnér R, Ahlskog R, Kleinman A, Hinds DA, Caspi A, Corcoran DL, Moffitt TE, Poulton R, Sugden K, Williams BS, Harris KM, Steptoe A, Ajnakina O, Milani L, Esko T, Iacono WG, McGue M, Magnusson PKE, Mallard TT, Harden KP, Tucker-Drob EM, Herd P, Freese J, Young A, Beauchamp JP, Koellinger PD, Oskarsson S, Johannesson M, Visscher PM, Meyer MN, Laibson D, Cesarini D, Benjamin DJ, Turley P, Okbay A. Resource profile and user guide of the Polygenic Index Repository. Nat Hum Behav 2021; 5:1744-1758. [PMID: 34140656 PMCID: PMC8678380 DOI: 10.1038/s41562-021-01119-3] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 04/16/2021] [Indexed: 02/05/2023]
Abstract
Polygenic indexes (PGIs) are DNA-based predictors. Their value for research in many scientific disciplines is growing rapidly. As a resource for researchers, we used a consistent methodology to construct PGIs for 47 phenotypes in 11 datasets. To maximize the PGIs' prediction accuracies, we constructed them using genome-wide association studies-some not previously published-from multiple data sources, including 23andMe and UK Biobank. We present a theoretical framework to help interpret analyses involving PGIs. A key insight is that a PGI can be understood as an unbiased but noisy measure of a latent variable we call the 'additive SNP factor'. Regressions in which the true regressor is this factor but the PGI is used as its proxy therefore suffer from errors-in-variables bias. We derive an estimator that corrects for the bias, illustrate the correction, and make a Python tool for implementing it publicly available.
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Affiliation(s)
- Joel Becker
- Department of Economics, New York University, New York, NY, USA
| | - Casper A P Burik
- Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Grant Goldman
- National Bureau of Economic Research, Cambridge, MA, USA
| | - Nancy Wang
- National Bureau of Economic Research, Cambridge, MA, USA
| | | | | | - Daniel W Belsky
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
- Robert N. Butler Columbia Aging Center, Columbia University, New York, NY, USA
| | - Richard Karlsson Linnér
- Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Rafael Ahlskog
- Department of Government, Uppsala University, Uppsala, Sweden
| | | | | | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - David L Corcoran
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
| | - Terrie E Moffitt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, University of Otago, Dunedin, New Zealand
| | - Karen Sugden
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | | | - Kathleen Mullan Harris
- Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Andrew Steptoe
- Department of Behavioural Science and Health, University College London, London, UK
| | - Olesya Ajnakina
- Department of Behavioural Science and Health, University College London, London, UK
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Lili Milani
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Tõnu Esko
- Institute of Genomics, University of Tartu, Tartu, Estonia
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - William G Iacono
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Patrik K E Magnusson
- Swedish Twin Registry, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Travis T Mallard
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - K Paige Harden
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
- Population Research Center, The University of Texas at Austin, Austin, TX, USA
| | - Elliot M Tucker-Drob
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
- Population Research Center, The University of Texas at Austin, Austin, TX, USA
| | - Pamela Herd
- McCourt School of Public Policy, Georgetown University, Washington, DC, USA
| | - Jeremy Freese
- Department of Sociology, Stanford University, Stanford, CA, USA
| | - Alexander Young
- UCLA Anderson School of Management, Los Angeles, CA, USA
- Human Genetics Department, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
| | - Jonathan P Beauchamp
- Interdisciplinary Center for Economic Science and Department of Economics, George Mason University, Fairfax, VA, USA
| | - Philipp D Koellinger
- Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Robert M. La Follette School of Public Affairs, University of Wisconsin-Madison, Madison, WI, USA
| | - Sven Oskarsson
- Department of Government, Uppsala University, Uppsala, Sweden
| | - Magnus Johannesson
- Department of Economics, Stockholm School of Economics, Stockholm, Sweden
| | - Peter M Visscher
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Michelle N Meyer
- Center for Translational Bioethics and Health Care Policy, Geisinger Health System, Danville, PA, USA
| | - David Laibson
- National Bureau of Economic Research, Cambridge, MA, USA
- Department of Economics, Harvard University, Cambridge, MA, USA
| | - David Cesarini
- Department of Economics, New York University, New York, NY, USA.
- National Bureau of Economic Research, Cambridge, MA, USA.
| | - Daniel J Benjamin
- National Bureau of Economic Research, Cambridge, MA, USA.
- UCLA Anderson School of Management, Los Angeles, CA, USA.
- Human Genetics Department, UCLA David Geffen School of Medicine, Los Angeles, CA, USA.
| | - Patrick Turley
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
- Department of Economics, University of Southern California, Los Angeles, CA, USA.
| | - Aysu Okbay
- Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
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Li YK, Zhang XX, Yang Y, Gao J, Shi Q, Liu SD, Fu WP, Sun C. Convergent Evidence Supports TH2LCRR as a Novel Asthma Susceptibility Gene. Am J Respir Cell Mol Biol 2021; 66:283-292. [PMID: 34851809 DOI: 10.1165/rcmb.2020-0481oc] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Asthma is a common complex disease with apparent genetic predispositions, and previous genome-wide association studies suggest that rs1295686 within the IL13 (interleukin 13) gene is significantly associated with asthma. Analysis of the data provided by the 1000 Genomes Project indicated that there are additional four SNPs in nearly complete linkage disequilibrium with rs1295686 in Caucasians. However, the causal SNPs and the associated mechanism remain unclear. To investigate this issue, functional genomics approaches were utilized to analyze the functions of these SNPs. Dual-luciferase assays indicated that the functional SNP is not rs1295686 but a haplotype consisting of other three SNPs, rs1295685, rs848 and rs847. Through chromosome conformation capture, it was found that the enhancer containing the three functional SNPs interacts with the promoter of TH2LCRR (T helper type 2 locus control region associated RNA), a recently identified long non-coding RNA. RNA-seq data analysis indicated that TH2LCRR expression is significantly increased in asthma patients and is dependent on the genotype at this locus, indicating that TH2LCRR is a novel susceptibility gene for asthma and that these SNPs confer asthma risk by regulating TH2LCRR expression. By chromatin immunoprecipitation, the related transcription factors that bind in the region surrounding these three SNPs were identified, and their interactions were investigated by functional genomics approaches. Our effort identified a novel mechanism through which genetic variations at this locus could influence asthma susceptibility.
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Affiliation(s)
- Yi-Kun Li
- Shaanxi Normal University, 12401, College of Life Sciences, Xi'an, China
| | - Xin-Xin Zhang
- Shaanxi Normal University, 12401, College of Life Sciences, Xi'an, China
| | - Yuan Yang
- Shaanxi Normal University, 12401, College of Life Sciences, Xi'an, China
| | - Jing Gao
- Shaanxi Normal University, 12401, College of Life Sciences, Xi'an, China
| | - Qiang Shi
- Shaanxi Normal University, 12401, College of Life Sciences, Xi'an, China
| | - Shao-Dong Liu
- Shaanxi Normal University, 12401, College of Life Sciences, Xi'an, China
| | - Wei-Ping Fu
- Kunming Medical University First Affilliated Hospital, 36657, Kunming, China
| | - Chang Sun
- Shaanxi Normal University, 12401, College of Life Sciences, Xi'an, China;
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28
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Komlósi ZI, van de Veen W, Kovács N, Szűcs G, Sokolowska M, O'Mahony L, Akdis M, Akdis CA. Cellular and molecular mechanisms of allergic asthma. Mol Aspects Med 2021; 85:100995. [PMID: 34364680 DOI: 10.1016/j.mam.2021.100995] [Citation(s) in RCA: 80] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 07/13/2021] [Accepted: 07/15/2021] [Indexed: 12/21/2022]
Abstract
Asthma is a chronic disease of the airways, which affects more than 350 million people worldwide. It is the most common chronic disease in children, affecting at least 30 million children and young adults in Europe. Asthma is a complex, partially heritable disease with a marked heterogeneity. Its development is influenced both by genetic and environmental factors. The most common, as well as the most well characterized subtype of asthma is allergic eosinophilic asthma, which is characterized by a type 2 airway inflammation. The prevalence of asthma has substantially increased in industrialized countries during the last 60 years. The mechanisms underpinning this phenomenon are incompletely understood, however increased exposure to various environmental pollutants probably plays a role. Disease inception is thought to be enabled by a disadvantageous shift in the balance between protective and harmful lifestyle and environmental factors, including exposure to protective commensal microbes versus infection with pathogens, collectively leading to airway epithelial cell damage and disrupted barrier integrity. Epithelial cell-derived cytokines are one of the main drivers of the type 2 immune response against innocuous allergens, ultimately leading to infiltration of lung tissue with type 2 T helper (TH2) cells, type 2 innate lymphoid cells (ILC2s), M2 macrophages and eosinophils. This review outlines the mechanisms responsible for the orchestration of type 2 inflammation and summarizes the novel findings, including but not limited to dysregulated epithelial barrier integrity, alarmin release and innate lymphoid cell stimulation.
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Affiliation(s)
- Zsolt I Komlósi
- Department of Genetics, Cell- and Immunobiology, Semmelweis University, Nagyvárad Sqr. 4, 1089, Budapest, Hungary.
| | - Willem van de Veen
- Swiss Institute of Allergy and Asthma Research (SIAF), Hermann-Burchard Strasse 9, CH7265, Davos Wolfgand, Switzerland; Christine Kühne - Center for Allergy Research and Education, Davos, Switzerland
| | - Nóra Kovács
- Department of Genetics, Cell- and Immunobiology, Semmelweis University, Nagyvárad Sqr. 4, 1089, Budapest, Hungary; Lung Health Hospital, Munkácsy Mihály Str. 70, 2045, Törökbálint, Hungary
| | - Gergő Szűcs
- Department of Genetics, Cell- and Immunobiology, Semmelweis University, Nagyvárad Sqr. 4, 1089, Budapest, Hungary; Department of Pulmonology, Semmelweis University, Tömő Str. 25-29, 1083, Budapest, Hungary
| | - Milena Sokolowska
- Swiss Institute of Allergy and Asthma Research (SIAF), Hermann-Burchard Strasse 9, CH7265, Davos Wolfgand, Switzerland; Christine Kühne - Center for Allergy Research and Education, Davos, Switzerland
| | - Liam O'Mahony
- Department of Medicine and School of Microbiology, APC Microbiome Ireland, University College Cork, Ireland
| | - Mübeccel Akdis
- Swiss Institute of Allergy and Asthma Research (SIAF), Hermann-Burchard Strasse 9, CH7265, Davos Wolfgand, Switzerland; Christine Kühne - Center for Allergy Research and Education, Davos, Switzerland
| | - Cezmi A Akdis
- Swiss Institute of Allergy and Asthma Research (SIAF), Hermann-Burchard Strasse 9, CH7265, Davos Wolfgand, Switzerland; Christine Kühne - Center for Allergy Research and Education, Davos, Switzerland
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29
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Margaritte-Jeannin P, Budu-Aggrey A, Ege M, Madore AM, Linhard C, Mohamdi H, von Mutius E, Granell R, Demenais F, Laprise C, Bouzigon E, Dizier MH. Identification of OCA2 as a novel locus for the co-morbidity of asthma-plus-eczema. Clin Exp Allergy 2021; 52:70-81. [PMID: 34155719 DOI: 10.1111/cea.13972] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 06/04/2021] [Accepted: 06/04/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND Numerous genes have been associated with the three most common allergic diseases (asthma, allergic rhinitis or eczema) but these genes explain only a part of the heritability. In the vast majority of genetic studies, complex phenotypes such as co-morbidity of two of these diseases, have not been considered. This may partly explain missing heritability. OBJECTIVE To identify genetic variants specifically associated with the co-morbidity of asthma-plus-eczema. METHODS We first conducted a meta-analysis of four GWAS (Genome-Wide Association Study) of the combined asthma-plus-eczema phenotype (total of 8807 European-ancestry subjects of whom 1208 subjects had both asthma and eczema). To assess whether the association with SNP(s) was specific to the co-morbidity, we also conducted a meta-analysis of homogeneity test of association according to disease status ("asthma-plus-eczema" vs. the presence of only one disease "asthma only or eczema only"). We then used a joint test by combining the two test statistics from the co-morbidity-SNP association and the phenotypic heterogeneity of SNP effect meta-analyses. RESULTS Seven SNPs were detected for specific association to the asthma-plus-eczema co-morbidity, two with significant and five with suggestive evidence using the joint test after correction for multiple testing. The two significant SNPs are located in the OCA2 gene (Oculocutaneous Albinism II), a new locus never detected for significant evidence of association with any allergic disease. This gene is a promising candidate gene, because of its link to skin and lung diseases, and to epithelial barrier and immune mechanisms. CONCLUSION Our study underlines the importance of studying sub-phenotypes as co-morbidities to detect new susceptibility genes.
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Affiliation(s)
| | - Ashley Budu-Aggrey
- Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Markus Ege
- Comprehensive Pneumology Center Munich (CPC-M), German Center for Lung Research, Dr von Hauner Children's Hospital, Ludwig Maximilian University, Munich, Germany
| | - Anne-Marie Madore
- Département des Sciences Fondamentales, Centre Intersectoriel en Santé Durable (CISD), Université du Québec à Chicoutimi, Saguenay, QC, Canada
| | | | | | - Erika von Mutius
- Comprehensive Pneumology Center Munich (CPC-M), German Center for Lung Research, Dr von Hauner Children's Hospital, Ludwig Maximilian University, Munich, Germany
| | - Raquel Granell
- Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Catherine Laprise
- Département des Sciences Fondamentales, Centre Intersectoriel en Santé Durable (CISD), Université du Québec à Chicoutimi, Saguenay, QC, Canada
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30
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Chilunga FP, Henneman P, Venema A, Meeks KAC, Requena-Méndez A, Beune E, Mockenhaupt FP, Smeeth L, Bahendeka S, Danquah I, Klipstein-Grobusch K, Adeyemo A, Mannens MMAM, Agyemang C. Genome-wide DNA methylation analysis on C-reactive protein among Ghanaians suggests molecular links to the emerging risk of cardiovascular diseases. NPJ Genom Med 2021; 6:46. [PMID: 34117263 PMCID: PMC8196035 DOI: 10.1038/s41525-021-00213-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 05/20/2021] [Indexed: 12/28/2022] Open
Abstract
Molecular mechanisms at the intersection of inflammation and cardiovascular diseases (CVD) among Africans are still unknown. We performed an epigenome-wide association study to identify loci associated with serum C-reactive protein (marker of inflammation) among Ghanaians and further assessed whether differentially methylated positions (DMPs) were linked to CVD in previous reports, or to estimated CVD risk in the same population. We used the Illumina Infinium® HumanMethylation450 BeadChip to obtain DNAm profiles of blood samples in 589 Ghanaians from the RODAM study (without acute infections, not taking anti-inflammatory medications, CRP levels < 40 mg/L). We then used linear models to identify DMPs associated with CRP concentrations. Post-hoc, we evaluated associations of identified DMPs with elevated CVD risk estimated via ASCVD risk score. We also performed subset analyses at CRP levels ≤10 mg/L and replication analyses on candidate probes. Finally, we assessed for biological relevance of our findings in public databases. We subsequently identified 14 novel DMPs associated with CRP. In post-hoc evaluations, we found that DMPs in PC, BTG4 and PADI1 showed trends of associations with estimated CVD risk, we identified a separate DMP in MORC2 that was associated with CRP levels ≤10 mg/L, and we successfully replicated 65 (24%) of previously reported DMPs. All DMPs with gene annotations (13) were biologically linked to inflammation or CVD traits. We have identified epigenetic loci that may play a role in the intersection between inflammation and CVD among Ghanaians. Further studies among other Africans are needed to confirm our findings.
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Affiliation(s)
- Felix P Chilunga
- Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.
| | - Peter Henneman
- Department of Clinical Genetics, Amsterdam Reproduction & Development research institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Andrea Venema
- Department of Clinical Genetics, Amsterdam Reproduction & Development research institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Karlijn A C Meeks
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ana Requena-Méndez
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Department of Global Public Health, Karolinska Institutet, Solna, Sweden
| | - Erik Beune
- Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Frank P Mockenhaupt
- Institute of Tropical Medicine and International Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Liam Smeeth
- Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Silver Bahendeka
- Department of Medicine, MKPGMS-Uganda Martyrs University, Kampala, Uganda
| | - Ina Danquah
- Heidelberg Institute of Global Health (HIGH), Universitätsklinikum Heidelberg, Heidelberg, Germany
| | - Kerstin Klipstein-Grobusch
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Adebowale Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Marcel M A M Mannens
- Department of Clinical Genetics, Amsterdam Reproduction & Development research institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Charles Agyemang
- Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
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31
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Sobreira DR, Joslin AC, Zhang Q, Williamson I, Hansen GT, Farris KM, Sakabe NJ, Sinnott-Armstrong N, Bozek G, Jensen-Cody SO, Flippo KH, Ober C, Bickmore WA, Potthoff M, Chen M, Claussnitzer M, Aneas I, Nóbrega MA. Extensive pleiotropism and allelic heterogeneity mediate metabolic effects of IRX3 and IRX5. Science 2021; 372:1085-1091. [PMID: 34083488 PMCID: PMC8386003 DOI: 10.1126/science.abf1008] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 04/28/2021] [Indexed: 12/11/2022]
Abstract
Whereas coding variants often have pleiotropic effects across multiple tissues, noncoding variants are thought to mediate their phenotypic effects by specific tissue and temporal regulation of gene expression. Here, we investigated the genetic and functional architecture of a genomic region within the FTO gene that is strongly associated with obesity risk. We show that multiple variants on a common haplotype modify the regulatory properties of several enhancers targeting IRX3 and IRX5 from megabase distances. We demonstrate that these enhancers affect gene expression in multiple tissues, including adipose and brain, and impart regulatory effects during a restricted temporal window. Our data indicate that the genetic architecture of disease-associated loci may involve extensive pleiotropy, allelic heterogeneity, shared allelic effects across tissues, and temporally restricted effects.
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Affiliation(s)
- Débora R Sobreira
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
| | - Amelia C Joslin
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Qi Zhang
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA
| | - Iain Williamson
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Grace T Hansen
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Kathryn M Farris
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Noboru J Sakabe
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Nasa Sinnott-Armstrong
- Department of Genetics, Stanford University, Stanford 94305 CA, USA
- Metabolism Program and Cardiovascular Disease Initiative, Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Grazyna Bozek
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Sharon O Jensen-Cody
- Department of Pharmacology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
| | - Kyle H Flippo
- Department of Pharmacology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
| | - Carole Ober
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Wendy A Bickmore
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Matthew Potthoff
- Department of Pharmacology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
| | - Mengjie Chen
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA
| | - Melina Claussnitzer
- Metabolism Program and Cardiovascular Disease Initiative, Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02131, USA
| | - Ivy Aneas
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
| | - Marcelo A Nóbrega
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
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32
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Zhu T, Zhang X, Chen X, Brown AP, Weirauch MT, Guilbert TW, Khurana Hershey GK, Biagini JM, Ji H. Nasal DNA methylation differentiates severe from non-severe asthma in African-American children. Allergy 2021; 76:1836-1845. [PMID: 33175399 PMCID: PMC8110596 DOI: 10.1111/all.14655] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 10/12/2020] [Accepted: 10/16/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND Asthma is highly heterogeneous, and severity evaluation is key to asthma management. DNA methylation (DNAm) contributes to asthma pathogenesis. This study aimed to identify nasal epithelial DNAm differences between severe and nonsevere asthmatic children and evaluate the impact of environmental exposures. METHODS Thirty-three nonsevere and 22 severe asthmatic African American children were included in an epigenome-wide association study. Genome-wide nasal epithelial DNAm and gene expression were measured. CpG sites associated with asthma severity and environmental exposures and predictive of severe asthma were identified. DNAm was correlated with gene expression. Enrichment for transcription factor (TF) binding sites or histone modifications surrounding DNAm differences were determined. RESULTS We identified 816 differentially methylated CpG positions (DMPs) and 10 differentially methylated regions (DMRs) associated with asthma severity. Three DMPs exhibited discriminatory ability for severe asthma. Intriguingly, six DMPs were simultaneously associated with asthma, allergic asthma, total IgE, environmental IgE, and FeNO in an independent cohort of children. Twenty-seven DMPs were associated with traffic-related air pollution or secondhand smoke. DNAm at 22 DMPs was altered by diesel particles or allergen in human bronchial epithelial cells. DNAm levels at 39 DMPs were correlated with mRNA expression. Proximal to 816 DMPs, three histone marks and several TFs involved in asthma pathogenesis were enriched. CONCLUSIONS Significant differences in nasal epithelial DNAm were observed between nonsevere and severe asthma in African American children, a subset of which may be useful to predict disease severity. These CpG sites are subjected to the influences of environmental exposures and may regulate gene expression.
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Affiliation(s)
- Tao Zhu
- California National Primate Research Center, Davis, CA
| | - Xue Zhang
- Division of Human Genetics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Xiaoting Chen
- Center for Autoimmune Genomics and Etiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | | | - Matthew T. Weirauch
- Center for Autoimmune Genomics and Etiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Divisions of Biomedical Informatics and Developmental Biology, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
| | - Theresa W. Guilbert
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
- Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Gurjit K. Khurana Hershey
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
- Divison of Asthma Research, Cincinnati Children’s Hospital Medical Center, Davis, CA
| | - Jocelyn M. Biagini
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
- Divison of Asthma Research, Cincinnati Children’s Hospital Medical Center, Davis, CA
| | - Hong Ji
- California National Primate Research Center, Davis, CA
- Department of Anatomy, Physiology and Cell biology, School of Veterinary Medicine, University of California, Davis, CA
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33
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Zhang Y, Tan M, Qian X, Li C, Yue L, Liu Y, Shi S. Interaction between early-life pet exposure and methylation pattern of ADAM33 on allergic rhinitis among children aged 3-6 years in China. Allergy Asthma Clin Immunol 2021; 17:44. [PMID: 33933154 PMCID: PMC8088023 DOI: 10.1186/s13223-021-00526-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 02/11/2021] [Indexed: 12/01/2022] Open
Abstract
Background Recent research has pointed out the important roles of epigenetic modifications in the development and persistence of allergic rhinitis (AR), especially in relation to DNA methylation of disease-associated genes. We investigated whether AR susceptibility genes were epigenetically regulated, and whether methylation modulation of these genes in response to early-life environment could be a molecular mechanism underlying the risk for AR onset in a cohort of children aged 3–6 years in China. Methods Peripheral blood mononuclear cell (PBMC) samples were collected from 130 children patients, aged 3–6 years and diagnosed with AR; and 154 matched controls to detect promoter methylation in 25 AR susceptibility genes with the MethylTarget approach. Methylation levels were compared for each CpG site, each amplified region, and each gene. In addition, the relationship among DNA methylation, early-life environmental risk factors and AR onset were assessed. Results Maternal allergic history (P = 0.0390) and pet exposure (P = 0.0339) were significantly associated with increased AR risk. Differential methylation analyses were successfully performed for 507 CpG sites, 34 amplified regions and 17 genes and significant hypomethylation was observed in the promoter region of ADAM33 in AR patients [multiple test-corrected (FDR) P-value < 0.05]. Spearman correlation analysis revealed that the hypomethylation of ADAM33 was significantly associated with higher eosinophil counts (Spearman’s ρ: − 0.187, P-value = 0.037). According to the results of the multiple regression analysis, after adjusting for cofounders, the interaction of early-life pet exposure with methylation level of ADAM33 increased the risk for AR onset 1.423 times more in children (95% CI = 0.0290–4.109, P-value = 0.005). Conclusion This study provides evidence that early-life pet exposure and low methylation level of ADAM33 increase AR risk in children, and the interaction between pet exposure and methylation level of ADAM33 may play an important role in the development of AR.
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Affiliation(s)
- Yu Zhang
- Department of Otorhinolaryngology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
| | - Meiyu Tan
- Department of Laboratory Diagnosis, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
| | - Xiaoqiong Qian
- Department of Otorhinolaryngology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
| | - Cong Li
- Department of Otorhinolaryngology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
| | - Lei Yue
- Department of Otorhinolaryngology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
| | - Yuehong Liu
- Department of Otorhinolaryngology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
| | - Song Shi
- Department of Otorhinolaryngology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
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34
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Watt S, Vasquez L, Walter K, Mann AL, Kundu K, Chen L, Sims Y, Ecker S, Burden F, Farrow S, Farr B, Iotchkova V, Elding H, Mead D, Tardaguila M, Ponstingl H, Richardson D, Datta A, Flicek P, Clarke L, Downes K, Pastinen T, Fraser P, Frontini M, Javierre BM, Spivakov M, Soranzo N. Genetic perturbation of PU.1 binding and chromatin looping at neutrophil enhancers associates with autoimmune disease. Nat Commun 2021; 12:2298. [PMID: 33863903 PMCID: PMC8052402 DOI: 10.1038/s41467-021-22548-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 03/17/2021] [Indexed: 02/06/2023] Open
Abstract
Neutrophils play fundamental roles in innate immune response, shape adaptive immunity, and are a potentially causal cell type underpinning genetic associations with immune system traits and diseases. Here, we profile the binding of myeloid master regulator PU.1 in primary neutrophils across nearly a hundred volunteers. We show that variants associated with differential PU.1 binding underlie genetically-driven differences in cell count and susceptibility to autoimmune and inflammatory diseases. We integrate these results with other multi-individual genomic readouts, revealing coordinated effects of PU.1 binding variants on the local chromatin state, enhancer-promoter contacts and downstream gene expression, and providing a functional interpretation for 27 genes underlying immune traits. Collectively, these results demonstrate the functional role of PU.1 and its target enhancers in neutrophil transcriptional control and immune disease susceptibility.
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Affiliation(s)
- Stephen Watt
- Human Genetics, Wellcome Sanger Institute, Genome Campus, Hinxton, UK
| | - Louella Vasquez
- Human Genetics, Wellcome Sanger Institute, Genome Campus, Hinxton, UK
| | - Klaudia Walter
- Human Genetics, Wellcome Sanger Institute, Genome Campus, Hinxton, UK
| | - Alice L Mann
- Human Genetics, Wellcome Sanger Institute, Genome Campus, Hinxton, UK
| | - Kousik Kundu
- Human Genetics, Wellcome Sanger Institute, Genome Campus, Hinxton, UK
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Lu Chen
- Human Genetics, Wellcome Sanger Institute, Genome Campus, Hinxton, UK
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Department of Laboratory Medicine, West China Second University Hospital, State Key Laboratory of Biotherapy, Sichuan University, Chengdu, China
| | - Ying Sims
- Human Genetics, Wellcome Sanger Institute, Genome Campus, Hinxton, UK
| | | | - Frances Burden
- Department of Haematology, University of Cambridge, Cambridge, UK
- National Health Service Blood and Transplant (NHSBT), Cambridge, UK
| | - Samantha Farrow
- Department of Haematology, University of Cambridge, Cambridge, UK
- National Health Service Blood and Transplant (NHSBT), Cambridge, UK
| | - Ben Farr
- Human Genetics, Wellcome Sanger Institute, Genome Campus, Hinxton, UK
| | - Valentina Iotchkova
- Human Genetics, Wellcome Sanger Institute, Genome Campus, Hinxton, UK
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK
- MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, UK
| | - Heather Elding
- Human Genetics, Wellcome Sanger Institute, Genome Campus, Hinxton, UK
| | - Daniel Mead
- Human Genetics, Wellcome Sanger Institute, Genome Campus, Hinxton, UK
| | - Manuel Tardaguila
- Human Genetics, Wellcome Sanger Institute, Genome Campus, Hinxton, UK
| | - Hannes Ponstingl
- Human Genetics, Wellcome Sanger Institute, Genome Campus, Hinxton, UK
| | - David Richardson
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK
| | - Avik Datta
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK
| | - Laura Clarke
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, UK
| | - Kate Downes
- Department of Haematology, University of Cambridge, Cambridge, UK
- National Health Service Blood and Transplant (NHSBT), Cambridge, UK
| | - Tomi Pastinen
- Center for Pediatric Genomic Medicine, Children's Mercy, Kansas City, MO, USA
| | - Peter Fraser
- Nuclear Dynamics Programme, Babraham Institute, Cambridge, UK
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Mattia Frontini
- Department of Haematology, University of Cambridge, Cambridge, UK
- National Health Service Blood and Transplant (NHSBT), Cambridge, UK
- British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, UK
- Institute of Biomedical & Clinical Science, College of Medicine and Health, University of Exeter Medical School, RILD Building, Exeter, UK
| | - Biola-Maria Javierre
- Nuclear Dynamics Programme, Babraham Institute, Cambridge, UK.
- Josep Carreras Leukaemia Research Institute, Badalona, Barcelona, Spain.
| | - Mikhail Spivakov
- Nuclear Dynamics Programme, Babraham Institute, Cambridge, UK.
- Functional Gene Control Group, MRC London Institute of Medical Sciences (LMS), London, UK.
- Institute of Clinical Sciences, Imperial College Faculty of Medicine, London, UK.
| | - Nicole Soranzo
- Human Genetics, Wellcome Sanger Institute, Genome Campus, Hinxton, UK.
- School of Clinical Medicine, University of Cambridge, Cambridge, UK.
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Harker JA, Lloyd CM. Overlapping and distinct features of viral and allergen immunity in the human lung. Immunity 2021; 54:617-631. [PMID: 33852829 DOI: 10.1016/j.immuni.2021.03.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 02/28/2021] [Accepted: 03/15/2021] [Indexed: 12/30/2022]
Abstract
Immunity in the human respiratory tract is provided by a diverse range of tissue-resident cells, including specialized epithelial and macrophage populations and a network of innate and innate-like lymphocytes, such as natural killer cells, innate lymphoid cells, and invariant T cells. Lung-resident memory T and B cells contribute to this network following initial exposure to antigenic stimuli. This review explores how advances in the study of human immunology have shaped our understanding of this resident immune network and its response to two of the most commonly encountered inflammatory stimuli in the airways: viruses and allergens. It discusses the many ways in which pathogenic infection and allergic inflammation mirror each other, highlighting the key checkpoints at which they diverge and how this can result in a lifetime of allergic exacerbation versus protective anti-viral immunity.
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Affiliation(s)
- James A Harker
- National Heart and Lung Institute, Imperial College London, London SW7 2AZ, UK
| | - Clare M Lloyd
- National Heart and Lung Institute, Imperial College London, London SW7 2AZ, UK.
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Hamashita Y, Shibata T, Takeuchi A, Okuno T, Kise N, Sakurai T. Inchworm-type PNA-PEG conjugate regulates gene expression based on single nucleotide recognition. Int J Biol Macromol 2021; 181:471-477. [PMID: 33798568 DOI: 10.1016/j.ijbiomac.2021.03.140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 03/23/2021] [Indexed: 10/21/2022]
Abstract
In order to detect single nucleotide mutations and suppress gene expression, we synthesized an artificial nucleic acid, an inchworm-type PNA-PEG conjugate (i-PPc), that possessed a chemical structure in which 8 residues of peptide nucleic acid (PNA) were linked to both ends of a polyethylene glycol molecule. I-PPc_T7FM, which forms a complementary strand with the T7 promoter region of luciferase-expressing mRNA, failed to suppress the amount of luciferase produced via gene expression. However, 10 μM of i-PPc_ATGFM, targeting the start codon of luciferase (Luc+), suppressed approximately 85% of Luc+ production compared to that of the control in the cell-free protein synthesis system. Moreover, i-PPc_ATGMM (i-PPc_ATGFM with a single base mutation) only suppressed the amount of luciferase produced by approximately 15%, and such suppression of luciferase expression has not been achieved with block-type PPc or PNA oligos. The thermodynamic parameters suggested that the difference in stability of each PNA segment of the i-PPc contributed to single nucleotide recognition. These results indicate that the i-PPc could be used in antisense therapy to target single nucleotide polymorphisms (SNP).
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Affiliation(s)
- Yusuke Hamashita
- Department of Chemistry and Biotechnology, Graduate School of Engineering, Tottori University, 4-101 Koyama-Cho Minami, Tottori 680-8552, Japan
| | - Takahiro Shibata
- Department of Chemistry and Biotechnology, Graduate School of Engineering, Tottori University, 4-101 Koyama-Cho Minami, Tottori 680-8552, Japan
| | - Akiko Takeuchi
- Department of Chemistry and Biotechnology, Graduate School of Engineering, Tottori University, 4-101 Koyama-Cho Minami, Tottori 680-8552, Japan
| | - Takashi Okuno
- Faculty of Science, Yamagata University, 1-4-12 Kojirakawa, Yamagata, 990-8560, Japan
| | - Naoki Kise
- Department of Chemistry and Biotechnology, Graduate School of Engineering, Tottori University, 4-101 Koyama-Cho Minami, Tottori 680-8552, Japan; Center for Research on Green Sustainable Chemistry, Tottori University, 4-101 Koyama-Cho Minami, Tottori 680-8552, Japan
| | - Toshihiko Sakurai
- Department of Chemistry and Biotechnology, Graduate School of Engineering, Tottori University, 4-101 Koyama-Cho Minami, Tottori 680-8552, Japan; Center for Research on Green Sustainable Chemistry, Tottori University, 4-101 Koyama-Cho Minami, Tottori 680-8552, Japan.
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Laulajainen‐Hongisto A, Lyly A, Hanif T, Dhaygude K, Kankainen M, Renkonen R, Donner K, Mattila P, Jartti T, Bousquet J, Kauppi P, Toppila‐Salmi S. Genomics of asthma, allergy and chronic rhinosinusitis: novel concepts and relevance in airway mucosa. Clin Transl Allergy 2020; 10:45. [PMID: 33133517 PMCID: PMC7592594 DOI: 10.1186/s13601-020-00347-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 09/25/2020] [Indexed: 12/14/2022] Open
Abstract
Genome wide association studies (GWASs) have revealed several airway disease-associated risk loci. Their role in the onset of asthma, allergic rhinitis (AR) or chronic rhinosinusitis (CRS), however, is not yet fully understood. The aim of this review is to evaluate the airway relevance of loci and genes identified in GWAS studies. GWASs were searched from databases, and a list of loci associating significantly (p < 10-8) with asthma, AR and CRS was created. This yielded a total of 267 significantly asthma/AR-associated loci from 31 GWASs. No significant CRS -associated loci were found in this search. A total of 170 protein coding genes were connected to these loci. Of these, 76/170 (44%) showed bronchial epithelial protein expression in stained microscopic figures of Human Protein Atlas (HPA), and 61/170 (36%) had a literature report of having airway epithelial function. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotation analyses were performed, and 19 functional protein categories were found as significantly (p < 0.05) enriched among these genes. These were related to cytokine production, cell activation and adaptive immune response, and all were strongly connected in network analysis. We also identified 15 protein pathways that were significantly (p < 0.05) enriched in these genes, related to T-helper cell differentiation, virus infection, JAK-STAT signaling pathway, and asthma. A third of GWAS-level risk loci genes of asthma or AR seemed to have airway epithelial functions according to our database and literature searches. In addition, many of the risk loci genes were immunity related. Some risk loci genes also related to metabolism, neuro-musculoskeletal or other functions. Functions overlapped and formed a strong network in our pathway analyses and are worth future studies of biomarker and therapeutics.
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Affiliation(s)
- Anu Laulajainen‐Hongisto
- Department of Otorhinolaryngology–Head and Neck SurgeryUniversity of Helsinki and Helsinki University HospitalP.O.Box 263Kasarmikatu 11‐1300029 HUSHelsinkiFinland
- Laboratory of Cellular and Molecular ImmunologyInstitute of Microbiology of the Czech Academy of SciencesPragueCzech Republic
| | - Annina Lyly
- Department of Otorhinolaryngology–Head and Neck SurgeryUniversity of Helsinki and Helsinki University HospitalP.O.Box 263Kasarmikatu 11‐1300029 HUSHelsinkiFinland
- Skin and Allergy HospitalUniversity of Helsinki and Helsinki University HospitalHelsinkiFinland
| | | | | | - Matti Kankainen
- HUS Diagnostic CenterHelsinki University HospitalHelsinkiFinland
- Hematology Research Unit HelsinkiDepartment of HematologyHelsinki University Hospital Comprehensive Cancer CenterHelsinkiFinland
- Translational Immunology Research Program and Department of Clinical ChemistryUniversity of HelsinkiHelsinkiFinland
| | - Risto Renkonen
- Haartman InstituteUniversity of HelsinkiHelsinkiFinland
- HUS Diagnostic CenterHelsinki University HospitalHelsinkiFinland
| | - Kati Donner
- Hematology Research Unit HelsinkiDepartment of HematologyHelsinki University Hospital Comprehensive Cancer CenterHelsinkiFinland
| | - Pirkko Mattila
- Haartman InstituteUniversity of HelsinkiHelsinkiFinland
- Hematology Research Unit HelsinkiDepartment of HematologyHelsinki University Hospital Comprehensive Cancer CenterHelsinkiFinland
| | - Tuomas Jartti
- Department of Pediatrics and Adolescent MedicineTurku University Hospital and University of TurkuTurkuFinland
| | - Jean Bousquet
- Université MontpellierMontpellierFrance
- MACVIA‐FranceMontpellierFrance
- Corporate Member of Freie Universität BerlinHumboldt‐Universität Zu BerlinBerlin Institute of HealthComprehensive Allergy CenterDepartment of Dermatology and AllergyCharité–Universitätsmedizin BerlinBerlinGermany
| | - Paula Kauppi
- Skin and Allergy HospitalUniversity of Helsinki and Helsinki University HospitalHelsinkiFinland
| | - Sanna Toppila‐Salmi
- Skin and Allergy HospitalUniversity of Helsinki and Helsinki University HospitalHelsinkiFinland
- Haartman InstituteUniversity of HelsinkiHelsinkiFinland
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Dong Z, Ma Y, Zhou H, Shi L, Ye G, Yang L, Liu P, Zhou L. Integrated genomics analysis highlights important SNPs and genes implicated in moderate-to-severe asthma based on GWAS and eQTL datasets. BMC Pulm Med 2020; 20:270. [PMID: 33066754 PMCID: PMC7568423 DOI: 10.1186/s12890-020-01303-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 09/27/2020] [Indexed: 02/06/2023] Open
Abstract
Background Severe asthma is a chronic disease contributing to disproportionate disease morbidity and mortality. From the year of 2007, many genome-wide association studies (GWAS) have documented a large number of asthma-associated genetic variants and related genes. Nevertheless, the molecular mechanism of these identified variants involved in asthma or severe asthma risk remains largely unknown. Methods In the current study, we systematically integrated 3 independent expression quantitative trait loci (eQTL) data (N = 1977) and a large-scale GWAS summary data of moderate-to-severe asthma (N = 30,810) by using the Sherlock Bayesian analysis to identify whether expression-related variants contribute risk to severe asthma. Furthermore, we performed various bioinformatics analyses, including pathway enrichment analysis, PPI network enrichment analysis, in silico permutation analysis, DEG analysis and co-expression analysis, to prioritize important genes associated with severe asthma. Results In the discovery stage, we identified 1129 significant genes associated with moderate-to-severe asthma by using the Sherlock Bayesian analysis. Two hundred twenty-eight genes were prominently replicated by using MAGMA gene-based analysis. These 228 replicated genes were enriched in 17 biological pathways including antigen processing and presentation (Corrected P = 4.30 × 10− 6), type I diabetes mellitus (Corrected P = 7.09 × 10− 5), and asthma (Corrected P = 1.72 × 10− 3). With the use of a series of bioinformatics analyses, we highlighted 11 important genes such as GNGT2, TLR6, and TTC19 as authentic risk genes associated with moderate-to-severe/severe asthma. With respect to GNGT2, there were 3 eSNPs of rs17637472 (PeQTL = 2.98 × 10− 8 and PGWAS = 3.40 × 10− 8), rs11265180 (PeQTL = 6.0 × 10− 6 and PGWAS = 1.99 × 10− 3), and rs1867087 (PeQTL = 1.0 × 10− 4 and PGWAS = 1.84 × 10− 5) identified. In addition, GNGT2 is significantly expressed in severe asthma compared with mild-moderate asthma (P = 0.045), and Gngt2 shows significantly distinct expression patterns between vehicle and various glucocorticoids (Anova P = 1.55 × 10− 6). Conclusions Our current study provides multiple lines of evidence to support that these 11 identified genes as important candidates implicated in the pathogenesis of severe asthma.
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Affiliation(s)
- Zhouzhou Dong
- Critical Care Unit, Ningbo Medical Center Lihuili Hospital, Taipei Medical University Ningbo Medical Center, Ningbo, Zhejiang, 315100, P.R. China
| | - Yunlong Ma
- Institute of Biomedical Big Data, Wenzhou Medical University, Wenzhou, 325027, Zhejiang, China.,School of Biomedical Engineering, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, Zhejiang, China
| | - Hua Zhou
- Department of Respiratory Disease, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, P.R. China
| | - Linhui Shi
- Critical Care Unit, Ningbo Medical Center Lihuili Hospital, Taipei Medical University Ningbo Medical Center, Ningbo, Zhejiang, 315100, P.R. China
| | - Gongjie Ye
- Critical Care Unit, Ningbo Medical Center Lihuili Hospital, Taipei Medical University Ningbo Medical Center, Ningbo, Zhejiang, 315100, P.R. China
| | - Lei Yang
- Critical Care Unit, Ningbo Medical Center Lihuili Hospital, Taipei Medical University Ningbo Medical Center, Ningbo, Zhejiang, 315100, P.R. China
| | - Panpan Liu
- Critical Care Unit, Ningbo Medical Center Lihuili Hospital, Taipei Medical University Ningbo Medical Center, Ningbo, Zhejiang, 315100, P.R. China
| | - Li Zhou
- Department of Immunology and Rheumatology, Ningbo Medical Center Lihuili Hospital, Taipei Medical University Ningbo Medical Center, Ningbo, Zhejiang, 315100, P.R. China.
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Franca R, Zudeh G, Lucafò M, Rabusin M, Decorti G, Stocco G. Genome wide association studies for treatment-related adverse effects of pediatric acute lymphoblastic leukemia. WIREs Mech Dis 2020; 13:e1509. [PMID: 33016644 DOI: 10.1002/wsbm.1509] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 08/01/2020] [Accepted: 09/04/2020] [Indexed: 12/14/2022]
Abstract
Acute lymphoblastic leukemia (ALL) is the most common pediatric hematological malignancy; notwithstanding the success of ALL therapy, severe adverse drugs effects represent a serious issue in pediatric oncology, because they could be both an additional life threatening condition for ALL patients per se and a reason to therapy delay or discontinuation with important fallouts on final outcome. Cancer treatment-related toxicities have generated a significant need of finding predictive pharmacogenomic markers for the a priori identification of at risk patients. In the era of precision medicine, high throughput genomic screening such as genome wide association studies (GWAS) might provide useful markers to tailor therapy intensity on patients' genetic profile. Furthermore, these findings could be useful in basic research for better understanding the mechanistic and regulatory pathways of the biological functions associated with ALL treatment toxicities. The purpose of this review is to give an overview of high throughput genomic screening of the last 10 years that had investigated the landscape of ALL treatment-associated toxicities. This article is categorized under: Cancer > Genetics/Genomics/Epigenetics.
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Affiliation(s)
- Raffaella Franca
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Giulia Zudeh
- University of Trieste, PhD Course in Reproductive and Developmental Sciences, Trieste, Italy
| | - Marianna Lucafò
- Institute for Maternal and Child Health I.R.C.C.S Burlo Garofolo, Trieste, Italy
| | - Marco Rabusin
- Institute for Maternal and Child Health I.R.C.C.S Burlo Garofolo, Trieste, Italy
| | - Giuliana Decorti
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy.,Institute for Maternal and Child Health I.R.C.C.S Burlo Garofolo, Trieste, Italy
| | - Gabriele Stocco
- Department of Life Sciences, University of Trieste, Trieste, Italy
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Genetic analyses identify GSDMB associated with asthma severity, exacerbations, and antiviral pathways. J Allergy Clin Immunol 2020; 147:894-909. [PMID: 32795586 DOI: 10.1016/j.jaci.2020.07.030] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 07/16/2020] [Accepted: 07/24/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND The Chr17q12-21.2 region is the strongest and most consistently associated region with asthma susceptibility. The functional genes or single nucleotide polymorphisms (SNPs) are not obvious due to linkage disequilibrium. OBJECTIVES We sought to comprehensively investigate whole-genome sequence and RNA sequence from human bronchial epithelial cells to dissect functional genes/SNPs for asthma severity in the Severe Asthma Research Program. METHODS Expression quantitative trait loci analysis (n = 114), correlation analysis (n = 156) of gene expression and asthma phenotypes, and pathway analysis were performed in bronchial epithelial cells and replicated. Genetic association for asthma severity (426 severe vs 531 nonsevere asthma) and longitudinal asthma exacerbations (n = 273) was performed. RESULTS Multiple SNPs in gasdermin B (GSDMB) associated with asthma severity (odds ratio, >1.25) and longitudinal asthma exacerbations (P < .05). Expression quantitative trait loci analyses identified multiple SNPs associated with expression levels of post-GPI attachment to proteins 3, GSDMB, or gasdermin A (3.1 × 10-9 <P < 1.8 × 10-4). Higher expression levels of GSDMB correlated with asthma and greater number of exacerbations (P < .05). Expression levels of GSDMB correlated with genes involved in IFN signaling, MHC class I antigen presentation, and immune system pathways (false-discovery rate-adjusted P < .05). rs1031458 and rs3902920 in GSDMB colocalized with IFN regulatory factor binding sites and associated with GSDMB expression, asthma severity, and asthma exacerbations (P < .05). CONCLUSIONS By using a unique set of gene expression data from lung cells obtained using bronchoscopy from comprehensively characterized subjects with asthma, we show that SNPs in GSDMB associated with asthma severity, exacerbations, and GSDMB expression levels. Furthermore, its expression levels correlated with asthma exacerbations and antiviral pathways. Thus, GSDMB is a functional gene for both asthma susceptibility and severity.
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Gabryszewski SJ, Chang X, Dudley JW, Mentch F, March M, Holmes JH, Moore J, Grundmeier RW, Hakonarson H, Hill DA. Unsupervised modeling and genome-wide association identify novel features of allergic march trajectories. J Allergy Clin Immunol 2020; 147:677-685.e10. [PMID: 32650023 DOI: 10.1016/j.jaci.2020.06.026] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 05/07/2020] [Accepted: 06/05/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND The allergic march refers to the natural history of allergic conditions during infancy and childhood. However, population-level disease incidence patterns do not necessarily reflect the development of allergic disease in individuals. A better understanding of the factors that predispose to different allergic trajectories is needed. OBJECTIVE Our aim was to determine the demographic and genetic features that are associated with the major allergic march trajectories. METHODS Presence or absence of common allergic conditions (atopic dermatitis [AD], IgE-mediated food allergy [IgE-FA], asthma, and allergic rhinitis [AR]) was ascertained in a pediatric primary care birth cohort of 158,510 subjects. Hierarchic clustering and decision tree modeling were used to associate demographic features with allergic outcomes. Genome-wide association study was used to test for risk loci associated with specific allergic trajectories. RESULTS We found an association between self-identified black race and progression from AD to asthma. Conversely, Asian or Pacific Islander race was associated with progression from AD to IgE-mediated food allergy, and white race was associated with progression from AD to AR. Genome-wide association study of trajectory groups identified risk loci associated with progression from AD to asthma (rs60242841) and from AD to AR (rs9565267, rs151041509, and rs78171803). Consistent with our epidemiologic associations, rs60242841 was more common in individuals of African ancestry than in individuals of European ancestry, whereas rs9565267 and rs151041509 were more common in individuals of European ancestry than in individuals of African ancestry. CONCLUSION We have identified novel associations between race and progression along distinct allergic trajectories. Ancestral genetic differences may contribute to these associations. These results uncover important health disparities, refine the concept of the allergic march, and represent a step toward developing individualized medical approaches for these conditions.
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Affiliation(s)
| | - Xiao Chang
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Jesse W Dudley
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Frank Mentch
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Michael March
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - John H Holmes
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa
| | - Jason Moore
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa
| | - Robert W Grundmeier
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa; Division of Pulmonary Medicine, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - David A Hill
- Division of Allergy and Immunology, Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa.
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Age-of-onset information helps identify 76 genetic variants associated with allergic disease. PLoS Genet 2020; 16:e1008725. [PMID: 32603359 PMCID: PMC7367489 DOI: 10.1371/journal.pgen.1008725] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Revised: 07/17/2020] [Accepted: 03/19/2020] [Indexed: 12/18/2022] Open
Abstract
Risk factors that contribute to inter-individual differences in the age-of-onset of allergic diseases are poorly understood. The aim of this study was to identify genetic risk variants associated with the age at which symptoms of allergic disease first develop, considering information from asthma, hay fever and eczema. Self-reported age-of-onset information was available for 117,130 genotyped individuals of European ancestry from the UK Biobank study. For each individual, we identified the earliest age at which asthma, hay fever and/or eczema was first diagnosed and performed a genome-wide association study (GWAS) of this combined age-of-onset phenotype. We identified 50 variants with a significant independent association (P<3x10-8) with age-of-onset. Forty-five variants had comparable effects on the onset of the three individual diseases and 38 were also associated with allergic disease case-control status in an independent study (n = 222,484). We observed a strong negative genetic correlation between age-of-onset and case-control status of allergic disease (rg = -0.63, P = 4.5x10-61), indicating that cases with early disease onset have a greater burden of allergy risk alleles than those with late disease onset. Subsequently, a multivariate GWAS of age-of-onset and case-control status identified a further 26 associations that were missed by the univariate analyses of age-of-onset or case-control status only. Collectively, of the 76 variants identified, 18 represent novel associations for allergic disease. We identified 81 likely target genes of the 76 associated variants based on information from expression quantitative trait loci (eQTL) and non-synonymous variants, of which we highlight ADAM15, FOSL2, TRIM8, BMPR2, CD200R1, PRKCQ, NOD2, SMAD4, ABCA7 and UBE2L3. Our results support the notion that early and late onset allergic disease have partly distinct genetic architectures, potentially explaining known differences in pathophysiology between individuals. So far, genetic studies of allergic disease have investigated the presence of the disease rather than the age at which the first allergic symptoms develop. We aimed to identify genetic risk variants associated with the age at which symptoms of allergic disease first develop, considering information from asthma, hay fever and eczema by examining 117,130 genotyped individuals of European ancestry from the UK Biobank study. We identified 50 variants with a significant independent association (P<3x10-8) with age-of-onset. Forty-five variants had comparable effects on the onset of the three individual diseases and 38 were also associated with allergic disease case-control status in an independent study (n = 222,484). We then performed a multivariate GWAS of age-of-onset and case-control status identified a further 26 associations that were missed by the univariate analyses of age-of-onset or case-control status only. 18 of 76 variants identified represent novel associations for allergic disease. We identified 81 likely target genes of the 76 genetic variants, including ADAM15, FOSL2, TRIM8, BMPR2, CD200R1, PRKCQ, NOD2, SMAD4, ABCA7 and UBE2L3. Our results support the notion that early and late onset allergic disease have partly distinct genetic architectures, potentially explaining known differences in pathophysiology between individuals.
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Johansson Å, Rask-Andersen M, Karlsson T, Ek WE. Genome-wide association analysis of 350 000 Caucasians from the UK Biobank identifies novel loci for asthma, hay fever and eczema. Hum Mol Genet 2020; 28:4022-4041. [PMID: 31361310 PMCID: PMC6969355 DOI: 10.1093/hmg/ddz175] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 05/29/2019] [Accepted: 06/03/2019] [Indexed: 12/19/2022] Open
Abstract
Even though heritability estimates suggest that the risk of asthma, hay fever and eczema is largely due to genetic factors, previous studies have not explained a large part of the genetics behind these diseases. In this genome-wide association study, we include 346 545 Caucasians from the UK Biobank to identify novel loci for asthma, hay fever and eczema and replicate novel loci in three independent cohorts. We further investigate if associated lead single nucleotide polymorphisms (SNPs) have a significantly larger effect for one disease compared to the other diseases, to highlight possible disease-specific effects. We identified 141 loci, of which 41 are novel, to be associated (P ≤ 3 × 10−8) with asthma, hay fever or eczema, analyzed separately or as disease phenotypes that includes the presence of different combinations of these diseases. The largest number of loci was associated with the combined phenotype (asthma/hay fever/eczema). However, as many as 20 loci had a significantly larger effect on hay fever/eczema only compared to their effects on asthma, while 26 loci exhibited larger effects on asthma compared with their effects on hay fever/eczema. At four of the novel loci, TNFRSF8, MYRF, TSPAN8, and BHMG1, the lead SNPs were in Linkage Disequilibrium (LD) (>0.8) with potentially casual missense variants. Our study shows that a large amount of the genetic contribution is shared between the diseases. Nonetheless, a number of SNPs have a significantly larger effect on one of the phenotypes, suggesting that part of the genetic contribution is more phenotype specific.
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Affiliation(s)
- Åsa Johansson
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Mathias Rask-Andersen
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Torgny Karlsson
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Weronica E Ek
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- To whom correspondence should be addressed at: Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, PO Box 815, 75108, Uppsala, Sweden. Tel: +46703519004; Fax: +46184714931;
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44
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DeBoever C, Tanigawa Y, Aguirre M, McInnes G, Lavertu A, Rivas MA. Assessing Digital Phenotyping to Enhance Genetic Studies of Human Diseases. Am J Hum Genet 2020; 106:611-622. [PMID: 32275883 PMCID: PMC7212271 DOI: 10.1016/j.ajhg.2020.03.007] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 03/11/2020] [Indexed: 12/17/2022] Open
Abstract
Population-scale biobanks that combine genetic data and high-dimensional phenotyping for a large number of participants provide an exciting opportunity to perform genome-wide association studies (GWAS) to identify genetic variants associated with diverse quantitative traits and diseases. A major challenge for GWAS in population biobanks is ascertaining disease cases from heterogeneous data sources such as hospital records, digital questionnaire responses, or interviews. In this study, we use genetic parameters, including genetic correlation, to evaluate whether GWAS performed using cases in the UK Biobank ascertained from hospital records, questionnaire responses, and family history of disease implicate similar disease genetics across a range of effect sizes. We find that hospital record and questionnaire GWAS largely identify similar genetic effects for many complex phenotypes and that combining together both phenotyping methods improves power to detect genetic associations. We also show that family history GWAS using cases ascertained on family history of disease agrees with combined hospital record and questionnaire GWAS and that family history GWAS has better power to detect genetic associations for some phenotypes. Overall, this work demonstrates that digital phenotyping and unstructured phenotype data can be combined with structured data such as hospital records to identify cases for GWAS in biobanks and improve the ability of such studies to identify genetic associations.
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Affiliation(s)
| | - Yosuke Tanigawa
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Matthew Aguirre
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Greg McInnes
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Adam Lavertu
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Manuel A Rivas
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
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Gagné V, St-Onge P, Beaulieu P, Laverdière C, Leclerc JM, Tran TH, Sallan SE, Neuberg D, Silverman LB, Sinnett D, Krajinovic M. HLA alleles associated with asparaginase hypersensitivity in childhood ALL: a report from the DFCI Consortium. Pharmacogenomics 2020; 21:541-547. [PMID: 32372697 DOI: 10.2217/pgs-2019-0195] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Aim: To evaluate the association between human leukocyte antigen (HLA) alleles and native Escherichia coli asparaginase hypersensitivity (AH) in children with acute lymphoblastic leukemia (ALL) who received Dana-Farber Cancer Institute treatment protocols. Patients & methods: HLA-DQA1, HLA-DRB1 and HLA-DQB1 alleles were retrieved from available whole exome sequencing data of a subset of childhood ALL patients from Quebec ALL cohort and analyzed for an association with AH. PCR assay was developed to analyze associated alleles in the entire discovery and replication cohorts. Results: Two alleles in linkage disequilibrium (HLA-DRB1*07:01 and DQA1*02:01) were associated with AH. Additional analyses, performed to distinguish between HLA-DRB1*07:01 haplotypes with and without DQB1*02:02 allele, showed that the association was dependent on the presence of DQB1*02:02. Conclusion: This study confirms the implication of HLA-DRB1*07:01, DQA1*02:01 and DQB1*02:02 alleles in developing AH in childhood ALL.
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Affiliation(s)
- Vincent Gagné
- Charles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, University of Montreal, Montreal, Quebec, H3T 1C5, Canada
| | - Pascal St-Onge
- Charles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, University of Montreal, Montreal, Quebec, H3T 1C5, Canada
| | - Patrick Beaulieu
- Charles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, University of Montreal, Montreal, Quebec, H3T 1C5, Canada
| | - Caroline Laverdière
- Charles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, University of Montreal, Montreal, Quebec, H3T 1C5, Canada.,Department of Pediatrics, Faculty of Medicine, University of Montreal, Montreal, Quebec, H3T 1J4, Canada
| | - Jean-Marie Leclerc
- Charles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, University of Montreal, Montreal, Quebec, H3T 1C5, Canada.,Department of Pediatrics, Faculty of Medicine, University of Montreal, Montreal, Quebec, H3T 1J4, Canada
| | - Thai H Tran
- Charles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, University of Montreal, Montreal, Quebec, H3T 1C5, Canada.,Department of Pediatrics, Faculty of Medicine, University of Montreal, Montreal, Quebec, H3T 1J4, Canada
| | - Stephen E Sallan
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA.,Division of Hematology/Oncology, Children's Hospital, Boston, MA 02115, USA
| | - Donna Neuberg
- Department of Biostatistics & Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Lewis B Silverman
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA.,Division of Hematology/Oncology, Children's Hospital, Boston, MA 02115, USA
| | - Daniel Sinnett
- Charles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, University of Montreal, Montreal, Quebec, H3T 1C5, Canada.,Department of Pediatrics, Faculty of Medicine, University of Montreal, Montreal, Quebec, H3T 1J4, Canada
| | - Maja Krajinovic
- Charles-Bruneau Cancer Center, CHU Sainte-Justine Research Center, University of Montreal, Montreal, Quebec, H3T 1C5, Canada.,Department of Pediatrics, Faculty of Medicine, University of Montreal, Montreal, Quebec, H3T 1J4, Canada.,Department of Pharmacology & physiology, Faculty of Medicine, University of Montreal, Montreal, Quebec, H3T 1J4, Canada
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46
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Wang Y, Li L, Yang Y, Feng J, Wang L, Zhang H. Copy Number Variation in MUC5AC and Susceptibility to Allergic Rhinitis: A Low-Coverage Whole-Genome Sequencing and Validation Cohort Study. Genet Test Mol Biomarkers 2020; 24:173-180. [PMID: 32208937 DOI: 10.1089/gtmb.2019.0166] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Background: The contribution of genetic copy number variations (CNVs) to allergic rhinitis (AR) remains unknown. The aim of this study was to identify genetic CNVs related to AR in the Han Chinese population. Methods: A case/parent trio of patients of Han Chinese descent affected with AR was examined using low-coverage whole-genome sequencing. Select CNVs were also explored for AR association in a validation cohort of 696 diagnosed AR patients and 528 matched controls. AccuCopy™, a multiplex fluorescence competitive polymerase chain reaction (PCR) assay, was used for genotyping of the CNV and was further validated with real-time PCR. Results: In the case/parent trio study, 67 CNVs were found in the Database of Genomic Variants and shared by patients within the family; 7 of these CNVs had a frequency higher than 0.05. A duplication at 11P15.5 was found involving three mucin-encoding genes (MUC2, MUC5AC, and MUC5B) previously identified as candidate genes for asthma and other chronic inflammatory upper airway diseases. In the validation cohort, no CNVs for MUC2 or MUC5B were identified. However, in the case group, 36.21% of individuals had a duplication of MUC5AC, and 28.03% of controls had MUC5AC duplication (χ2 = 9.123; p = 0.0025). The association of MUC5AC copy number with AR was significant in a multivariable logistic regression analysis after adjusting for age and sex (Padj = 0.0010; OR = 2.073; 95% CI, 1.625-2.805). Real-time PCR validation confirmed duplication of MUC5AC, and the CNV genotype detected with the AccuCopy assay was validated for 58 (96.67%) individuals. Furthermore, individuals with a high MUC5AC copy number showed enhanced total blood eosinophil counts in both the total sample group and the case group (Spearman's ρ: 0.162, p < 0.001; Spearman's ρ: 0.240, p < 0.001). Conclusions: MUC5AC copy number is associated with AR susceptibility. Additional validation and functional studies are warranted to elucidate the effect of MUC5AC CNV on gene expression and AR risk.
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Affiliation(s)
- Yan Wang
- Department of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Linge Li
- Department of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yuping Yang
- Department of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Juan Feng
- Department of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Lingling Wang
- Department of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Hua Zhang
- Department of Otolaryngology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
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47
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Gao Y, Li J, Zhang Y, Zhang L. Replication study of susceptibility variants associated with allergic rhinitis and allergy in Han Chinese. Allergy Asthma Clin Immunol 2020; 16:13. [PMID: 32082391 PMCID: PMC7014941 DOI: 10.1186/s13223-020-0411-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 01/28/2020] [Indexed: 12/12/2022] Open
Abstract
Background Allergic rhinitis (AR) is believed to be a complex genetic disease. The last decade has been marked by the publication of more than 20 genome-wide association studies (GWASs) of AR and associated allergic phenotypes and allergic diseases, which have shown allergic diseases and traits to share a large number of genetic susceptibility loci. The aim of present study was therefore to investigate the highly replicated allergy related genes and variants as candidates for AR in Han Chinese subjects. Methods A total of 762 AR patients and 760 control subjects were recruited, and a total of 58 susceptible variants previously reported to be associated with allergic traits were choose for replication. Results Logistic regression analyses revealed that in the co-dominant-effect model as assessed by the AIC, compared with wild-type carriers, significant AR risk were associated with rs9865818 in LPP (P = 0.029, OR = 1.469 for GG vs. AA); rs6554809 in DNAH5 (P = 0.000, OR = 1.597 for TC vs. CC); rs1438673 in WDR36-CAMK4 loci (P = 0.037, OR = 1.396 for CC vs.TT), rs7775228 in HLA region (P = 0.000, OR = 1.589 for TC vs.TT), rs7203459 in CLEC16A (P = 0.025, OR = 0.731 for TC vs. TT). Conclusion We replicated Han Chinese AR-specific susceptibility loci in LPP, DNAH5, HLA, CLEC16A and WDR36-CAMK4. Further understanding the molecular mechanisms underlying these associations may provide new insights into the etiology of allergic disease.
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Affiliation(s)
- Yunbo Gao
- 1Department of Otolaryngology Head and Neck Surgery, Beijing TongRen Hospital, Capital Medical University, Beijing, 100730 People's Republic of China
| | - Jingyun Li
- 1Department of Otolaryngology Head and Neck Surgery, Beijing TongRen Hospital, Capital Medical University, Beijing, 100730 People's Republic of China.,2Beijing Key Laboratory of Nasal Diseases, Beijing Institute of Otolaryngology, No. 17, HouGouHuTong, DongCheng District, Beijing, 100005 People's Republic of China
| | - Yuan Zhang
- 1Department of Otolaryngology Head and Neck Surgery, Beijing TongRen Hospital, Capital Medical University, Beijing, 100730 People's Republic of China.,2Beijing Key Laboratory of Nasal Diseases, Beijing Institute of Otolaryngology, No. 17, HouGouHuTong, DongCheng District, Beijing, 100005 People's Republic of China.,3Department of Allergy, Beijing TongRen Hospital, Capital Medical University, Beijing, 100730 People's Republic of China
| | - Luo Zhang
- 1Department of Otolaryngology Head and Neck Surgery, Beijing TongRen Hospital, Capital Medical University, Beijing, 100730 People's Republic of China.,2Beijing Key Laboratory of Nasal Diseases, Beijing Institute of Otolaryngology, No. 17, HouGouHuTong, DongCheng District, Beijing, 100005 People's Republic of China.,3Department of Allergy, Beijing TongRen Hospital, Capital Medical University, Beijing, 100730 People's Republic of China
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48
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Tang HHF, Sly PD, Holt PG, Holt KE, Inouye M. Systems biology and big data in asthma and allergy: recent discoveries and emerging challenges. Eur Respir J 2020; 55:13993003.00844-2019. [PMID: 31619470 DOI: 10.1183/13993003.00844-2019] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 09/12/2019] [Indexed: 12/15/2022]
Abstract
Asthma is a common condition caused by immune and respiratory dysfunction, and it is often linked to allergy. A systems perspective may prove helpful in unravelling the complexity of asthma and allergy. Our aim is to give an overview of systems biology approaches used in allergy and asthma research. Specifically, we describe recent "omic"-level findings, and examine how these findings have been systematically integrated to generate further insight.Current research suggests that allergy is driven by genetic and epigenetic factors, in concert with environmental factors such as microbiome and diet, leading to early-life disturbance in immunological development and disruption of balance within key immuno-inflammatory pathways. Variation in inherited susceptibility and exposures causes heterogeneity in manifestations of asthma and other allergic diseases. Machine learning approaches are being used to explore this heterogeneity, and to probe the pathophysiological patterns or "endotypes" that correlate with subphenotypes of asthma and allergy. Mathematical models are being built based on genomic, transcriptomic and proteomic data to predict or discriminate disease phenotypes, and to describe the biomolecular networks behind asthma.The use of systems biology in allergy and asthma research is rapidly growing, and has so far yielded fruitful results. However, the scale and multidisciplinary nature of this research means that it is accompanied by new challenges. Ultimately, it is hoped that systems medicine, with its integration of omics data into clinical practice, can pave the way to more precise, personalised and effective management of asthma.
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Affiliation(s)
- Howard H F Tang
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Australia .,Cambridge Baker Systems Genomics Initiative, Dept of Public Health and Primary Care, University of Cambridge, Cambridge, UK.,School of BioSciences, The University of Melbourne, Parkville, Australia
| | - Peter D Sly
- Queensland Children's Medical Research Institute, The University of Queensland, Brisbane, Australia.,Telethon Kids Institute, University of Western Australia, Perth, Australia
| | - Patrick G Holt
- Queensland Children's Medical Research Institute, The University of Queensland, Brisbane, Australia.,Telethon Kids Institute, University of Western Australia, Perth, Australia
| | - Kathryn E Holt
- Dept of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Australia.,London School of Hygiene and Tropical Medicine, London, UK
| | - Michael Inouye
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Australia.,Cambridge Baker Systems Genomics Initiative, Dept of Public Health and Primary Care, University of Cambridge, Cambridge, UK.,School of BioSciences, The University of Melbourne, Parkville, Australia.,The Alan Turing Institute, London, UK
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Abstract
Interleukin (IL)-10 is an essential anti-inflammatory cytokine and functions as a negative regulator of immune responses to microbial antigens. IL-10 is particularly important in maintaining the intestinal microbe-immune homeostasis. Loss of IL-10 promotes the development of inflammatory bowel disease (IBD) as a consequence of an excessive immune response to the gut microbiota. IL-10 also functions more generally to prevent excessive inflammation during the course of infection. Although IL-10 can be produced by virtually all cells of the innate and adaptive immune system, T cells constitute a non-redundant source for IL-10 in many cases. The various roles of T cell-derived IL-10 will be discussed in this review. Given that IL-10 is at the center of maintaining the delicate balance between effective immunity and tissue protection, it is not surprising that IL-10 expression is highly dynamic and tightly regulated. We summarize the environmental signals and molecular pathways that regulate IL-10 expression. While numerous studies have provided us with a deep understanding of IL-10 biology, the majority of findings have been made in murine models, prompting us to highlight gaps in our knowledge about T cell-derived IL-10 in the human system.
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50
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Genetic architecture of moderate-to-severe asthma mirrors that of mild asthma. J Allergy Clin Immunol 2019; 144:1521-1523. [PMID: 31541629 DOI: 10.1016/j.jaci.2019.09.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 08/29/2019] [Accepted: 09/12/2019] [Indexed: 11/23/2022]
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