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Xiu Z, Sun L, Liu K, Cao H, Qu HQ, Glessner JT, Ding Z, Zheng G, Wang N, Xia Q, Li J, Li MJ, Hakonarson H, Liu W, Li J. Shared molecular mechanisms and transdiagnostic potential of neurodevelopmental disorders and immune disorders. Brain Behav Immun 2024; 119:767-780. [PMID: 38677625 DOI: 10.1016/j.bbi.2024.04.026] [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: 10/21/2023] [Revised: 02/27/2024] [Accepted: 04/22/2024] [Indexed: 04/29/2024] Open
Abstract
The co-occurrence and familial clustering of neurodevelopmental disorders and immune disorders suggest shared genetic risk factors. Based on genome-wide association summary statistics from five neurodevelopmental disorders and four immune disorders, we conducted genome-wide, local genetic correlation and polygenic overlap analysis. We further performed a cross-trait GWAS meta-analysis. Pleotropic loci shared between the two categories of diseases were mapped to candidate genes using multiple algorithms and approaches. Significant genetic correlations were observed between neurodevelopmental disorders and immune disorders, including both positive and negative correlations. Neurodevelopmental disorders exhibited higher polygenicity compared to immune disorders. Around 50%-90% of genetic variants of the immune disorders were shared with neurodevelopmental disorders. The cross-trait meta-analysis revealed 154 genome-wide significant loci, including 8 novel pleiotropic loci. Significant associations were observed for 30 loci with both types of diseases. Pathway analysis on the candidate genes at these loci revealed common pathways shared by the two types of diseases, including neural signaling, inflammatory response, and PI3K-Akt signaling pathway. In addition, 26 of the 30 lead SNPs were associated with blood cell traits. Neurodevelopmental disorders exhibit complex polygenic architecture, with a subset of individuals being at a heightened genetic risk for both neurodevelopmental and immune disorders. The identification of pleiotropic loci has important implications for exploring opportunities for drug repurposing, enabling more accurate patient stratification, and advancing genomics-informed precision in the medical field of neurodevelopmental disorders.
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Affiliation(s)
- Zhanjie Xiu
- Department of Cell Biology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Medical Epigenetics, Tianjin Institute of Immunology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China; Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Ling Sun
- Department of Child and Adolescent Psychology, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Kunlun Liu
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Haiyan Cao
- Department of Child and Adolescent Psychology, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Hui-Qi Qu
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Joseph T Glessner
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, United States; Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, United States; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Zhiyong Ding
- Mills Institute for Personalized Cancer Care, Fynn Biotechnologies Ltd., Jinan, China
| | - Gang Zheng
- National Supercomputer Center in Tianjin (NSCC-TJ), Tianjin, China
| | - Nan Wang
- Mills Institute for Personalized Cancer Care, Fynn Biotechnologies Ltd., Jinan, China
| | - Qianghua Xia
- Department of Cell Biology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Medical Epigenetics, Tianjin Institute of Immunology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China; Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Jie Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
| | - Mulin Jun Li
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, United States; Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, United States; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
| | - Wei Liu
- Tianjin Children's Hospital (Tianjin University Children's Hospital), Tianjin, China; Tianjin Key Laboratory of Birth Defects for Prevention and Treatment, Tianjin, China.
| | - Jin Li
- Department of Cell Biology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Medical Epigenetics, Tianjin Institute of Immunology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China; Department of Rheumatology and Immunology, Tianjin Medical University General Hospital, Tianjin, China.
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2
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Mack TM, Raddatz MA, Pershad Y, Nachun DC, Taylor KD, Guo X, Shuldiner AR, O'Connell JR, Kenny EE, Loos RJF, Redline S, Cade BE, Psaty BM, Bis JC, Brody JA, Silverman EK, Yun JH, Cho MH, DeMeo DL, Levy D, Johnson AD, Mathias RA, Yanek LR, Heckbert SR, Smith NL, Wiggins KL, Raffield LM, Carson AP, Rotter JI, Rich SS, Manichaikul AW, Gu CC, Chen YDI, Lee WJ, Shoemaker MB, Roden DM, Kooperberg C, Auer PL, Desai P, Blackwell TW, Smith AV, Reiner AP, Jaiswal S, Weinstock JS, Bick AG. Epigenetic and proteomic signatures associate with clonal hematopoiesis expansion rate. NATURE AGING 2024:10.1038/s43587-024-00647-7. [PMID: 38834882 DOI: 10.1038/s43587-024-00647-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 05/08/2024] [Indexed: 06/06/2024]
Abstract
Clonal hematopoiesis of indeterminate potential (CHIP), whereby somatic mutations in hematopoietic stem cells confer a selective advantage and drive clonal expansion, not only correlates with age but also confers increased risk of morbidity and mortality. Here, we leverage genetically predicted traits to identify factors that determine CHIP clonal expansion rate. We used the passenger-approximated clonal expansion rate method to quantify the clonal expansion rate for 4,370 individuals in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) cohort and calculated polygenic risk scores for DNA methylation aging, inflammation-related measures and circulating protein levels. Clonal expansion rate was significantly associated with both genetically predicted and measured epigenetic clocks. No associations were identified with inflammation-related lab values or diseases and CHIP expansion rate overall. A proteome-wide search identified predicted circulating levels of myeloid zinc finger 1 and anti-Müllerian hormone as associated with an increased CHIP clonal expansion rate and tissue inhibitor of metalloproteinase 1 and glycine N-methyltransferase as associated with decreased CHIP clonal expansion rate. Together, our findings identify epigenetic and proteomic patterns associated with the rate of hematopoietic clonal expansion.
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Affiliation(s)
- Taralynn M Mack
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Michael A Raddatz
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN, USA
- Department of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yash Pershad
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Daniel C Nachun
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Alan R Shuldiner
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD, USA
| | - Jeffrey R O'Connell
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD, USA
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute of Personalized Medicine, Mount Sinai Hospital, New York City, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Brian E Cade
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Jeong H Yun
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Michael H Cho
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Dawn L DeMeo
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Daniel Levy
- National Heart, Lung and Blood Institute, Population Sciences Branch, Framingham, MA, USA
| | - Andrew D Johnson
- National Heart, Lung and Blood Institute, Population Sciences Branch, Framingham, MA, USA
| | - Rasika A Mathias
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Susan R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
| | - Kerri L Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - April P Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Ani W Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - C Charles Gu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Yii-Der Ida Chen
- Medical Genetics Translational Genomics and Population Sciences (TGPS), Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung City, Taiwan
| | - M Benjamin Shoemaker
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dan M Roden
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Paul L Auer
- Division of Biostatistics, Institute for Health and Equity, and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Pinkal Desai
- Division of Hematology and Oncology, Weill Cornell Medicine, New York, NY, USA
- Englander Institute of Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Thomas W Blackwell
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Albert V Smith
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Alexander P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Joshua S Weinstock
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Alexander G Bick
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN, USA.
- Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
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3
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Szczesny B, Boorgula MP, Chavan S, Campbell M, Johnson RK, Kammers K, Thompson EE, Cox MS, Shankar G, Cox C, Morin A, Lorizio W, Daya M, Kelada SNP, Beaty TH, Doumatey AP, Cruz AA, Watson H, Naureckas ET, Giles BL, Arinola GA, Sogaolu O, Falade AG, Hansel NN, Yang IV, Olopade CO, Rotimi CN, Landis RC, Figueiredo CA, Altman MC, Kenny E, Ruczinski I, Liu AH, Ober C, Taub MA, Barnes KC, Mathias RA. Multi-omics in nasal epithelium reveals three axes of dysregulation for asthma risk in the African Diaspora populations. Nat Commun 2024; 15:4546. [PMID: 38806494 PMCID: PMC11133339 DOI: 10.1038/s41467-024-48507-7] [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: 05/18/2023] [Accepted: 05/02/2024] [Indexed: 05/30/2024] Open
Abstract
Asthma has striking disparities across ancestral groups, but the molecular underpinning of these differences is poorly understood and minimally studied. A goal of the Consortium on Asthma among African-ancestry Populations in the Americas (CAAPA) is to understand multi-omic signatures of asthma focusing on populations of African ancestry. RNASeq and DNA methylation data are generated from nasal epithelium including cases (current asthma, N = 253) and controls (never-asthma, N = 283) from 7 different geographic sites to identify differentially expressed genes (DEGs) and gene networks. We identify 389 DEGs; the top DEG, FN1, was downregulated in cases (q = 3.26 × 10-9) and encodes fibronectin which plays a role in wound healing. The top three gene expression modules implicate networks related to immune response (CEACAM5; p = 9.62 × 10-16 and CPA3; p = 2.39 × 10-14) and wound healing (FN1; p = 7.63 × 10-9). Multi-omic analysis identifies FKBP5, a co-chaperone of glucocorticoid receptor signaling known to be involved in drug response in asthma, where the association between nasal epithelium gene expression is likely regulated by methylation and is associated with increased use of inhaled corticosteroids. This work reveals molecular dysregulation on three axes - increased Th2 inflammation, decreased capacity for wound healing, and impaired drug response - that may play a critical role in asthma within the African Diaspora.
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Affiliation(s)
- Brooke Szczesny
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Meher Preethi Boorgula
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Sameer Chavan
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Monica Campbell
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Randi K Johnson
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
- Quantitative Sciences Division, Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kai Kammers
- Departments of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Emma E Thompson
- Division of Allergy and Infectious Diseases, Dept of Medicine, University of Washington, Seattle, WA, USA
| | - Madison S Cox
- Division of Allergy and Infectious Diseases, Dept of Medicine, University of Washington, Seattle, WA, USA
| | - Gautam Shankar
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Corey Cox
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Andréanne Morin
- Departments of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Wendy Lorizio
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Michelle Daya
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Samir N P Kelada
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Marsico Lung Institute, University of North Carolina, Chapel Hill, NC, USA
| | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ayo P Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alvaro A Cruz
- Fundacao ProAR and Federal University of Bahia, Salvador, Bahia, Brazil
| | - Harold Watson
- Faculty of Medical Sciences, The University of the West Indies, Queen Elizabeth Hospital, St. Michael, Bridgetown, Barbados
| | | | - B Louise Giles
- Departments of Pediatrics, University of Chicago, Chicago, IL, USA
| | - Ganiyu A Arinola
- Department of Immunology, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Olumide Sogaolu
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Adegoke G Falade
- Department of Pediatrics, University of Ibadan, and University College Hospital, Ibadan, Nigeria
| | - Nadia N Hansel
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Ivana V Yang
- Departments of Biomedical Informatics and Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | | | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - R Clive Landis
- Edmund Cohen Laboratory for Vascular Research, George Alleyne Chronic Disease Research Centre, Caribbean Institute for Health Research, The University of the West Indies, Cave Hill Campus, Wanstead, Barbados
| | - Camila A Figueiredo
- Federal University of Bahia and Funda. Program for Control of Asthma in Bahia (ProAR), Salvador, Brazil
- Instituto de Ciências de Saúde, Universidade Federal da Bahia, Salvador, Brazil
| | - Matthew C Altman
- Systems Immunology Program, Benaroya Research Institute, Seattle, WA, 98101, USA
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, 98109, USA
| | - Eimear Kenny
- Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Andrew H Liu
- Department of Pediatrics, Childrens Hospital Colorado and University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Carole Ober
- Departments of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Margaret A Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kathleen C Barnes
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA.
| | - Rasika A Mathias
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA.
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Moix S, Sadler MC, Kutalik Z, Auwerx C. Breaking down causes, consequences, and mediating effects of telomere length variation on human health. Genome Biol 2024; 25:125. [PMID: 38760657 PMCID: PMC11101352 DOI: 10.1186/s13059-024-03269-9] [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: 11/01/2023] [Accepted: 05/07/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND Telomeres form repeated DNA sequences at the ends of chromosomes, which shorten with each cell division. Yet, factors modulating telomere attrition and the health consequences thereof are not fully understood. To address this, we leveraged data from 326,363 unrelated UK Biobank participants of European ancestry. RESULTS Using linear regression and bidirectional univariable and multivariable Mendelian randomization (MR), we elucidate the relationships between leukocyte telomere length (LTL) and 142 complex traits, including diseases, biomarkers, and lifestyle factors. We confirm that telomeres shorten with age and show a stronger decline in males than in females, with these factors contributing to the majority of the 5.4% of LTL variance explained by the phenome. MR reveals 23 traits modulating LTL. Smoking cessation and high educational attainment associate with longer LTL, while weekly alcohol intake, body mass index, urate levels, and female reproductive events, such as childbirth, associate with shorter LTL. We also identify 24 traits affected by LTL, with risk for cardiovascular, pulmonary, and some autoimmune diseases being increased by short LTL, while longer LTL increased risk for other autoimmune conditions and cancers. Through multivariable MR, we show that LTL may partially mediate the impact of educational attainment, body mass index, and female age at childbirth on proxied lifespan. CONCLUSIONS Our study sheds light on the modulators, consequences, and the mediatory role of telomeres, portraying an intricate relationship between LTL, diseases, lifestyle, and socio-economic factors.
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Affiliation(s)
- Samuel Moix
- Department of Computational Biology, UNIL, Lausanne, 1015, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland.
| | - Marie C Sadler
- Department of Computational Biology, UNIL, Lausanne, 1015, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland
- University Center for Primary Care and Public Health, Lausanne, 1015, Switzerland
| | - Zoltán Kutalik
- Department of Computational Biology, UNIL, Lausanne, 1015, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland.
- University Center for Primary Care and Public Health, Lausanne, 1015, Switzerland.
| | - Chiara Auwerx
- Department of Computational Biology, UNIL, Lausanne, 1015, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland.
- University Center for Primary Care and Public Health, Lausanne, 1015, Switzerland.
- Center for Integrative Genetics, UNIL, Lausanne, 1015, Switzerland.
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5
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Lincoln MR, Connally N, Axisa PP, Gasperi C, Mitrovic M, van Heel D, Wijmenga C, Withoff S, Jonkers IH, Padyukov L, Rich SS, Graham RR, Gaffney PM, Langefeld CD, Vyse TJ, Hafler DA, Chun S, Sunyaev SR, Cotsapas C. Genetic mapping across autoimmune diseases reveals shared associations and mechanisms. Nat Genet 2024; 56:838-845. [PMID: 38741015 DOI: 10.1038/s41588-024-01732-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 03/21/2024] [Indexed: 05/16/2024]
Abstract
Autoimmune and inflammatory diseases are polygenic disorders of the immune system. Many genomic loci harbor risk alleles for several diseases, but the limited resolution of genetic mapping prevents determining whether the same allele is responsible, indicating a shared underlying mechanism. Here, using a collection of 129,058 cases and controls across 6 diseases, we show that ~40% of overlapping associations are due to the same allele. We improve fine-mapping resolution for shared alleles twofold by combining cases and controls across diseases, allowing us to identify more expression quantitative trait loci driven by the shared alleles. The patterns indicate widespread sharing of pathogenic mechanisms but not a single global autoimmune mechanism. Our approach can be applied to any set of traits and is particularly valuable as sample collections become depleted.
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Affiliation(s)
- Matthew R Lincoln
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
- Division of Neurology at the Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Noah Connally
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Pierre-Paul Axisa
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | | | - Mitja Mitrovic
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
- Faculty of Chemistry and Chemical Engineering, University of Maribor, Maribor, Slovenia
| | - David van Heel
- Blizard Institute, Queen Mary University of London, London, UK
| | - Cisca Wijmenga
- Department of Genetics at the University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Sebo Withoff
- Department of Genetics at the University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Iris H Jonkers
- Department of Genetics at the University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Leonid Padyukov
- Division of Rheumatology at the Department of Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Robert R Graham
- Maze Therapeutics, South San Francisco, CA, USA
- Genentech, South San Francisco, CA, USA
| | - Patrick M Gaffney
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Timothy J Vyse
- Department of Medical and Molecular Genetics, Kings College London, London, UK
| | - David A Hafler
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Sung Chun
- Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Shamil R Sunyaev
- Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Chris Cotsapas
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA.
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA.
- Vesalius Therapeutics, Cambridge, MA, USA.
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6
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Sakano Y, Sakano K, Hurrell BP, Helou DG, Shafiei-Jahani P, Kazemi MH, Li X, Shen S, Hilser JR, Hartiala JA, Allayee H, Barbers R, Akbari O. Blocking CD226 regulates type 2 innate lymphoid cell effector function and alleviates airway hyperreactivity. J Allergy Clin Immunol 2024; 153:1406-1422.e6. [PMID: 38244725 DOI: 10.1016/j.jaci.2024.01.003] [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: 08/25/2023] [Revised: 12/19/2023] [Accepted: 01/03/2024] [Indexed: 01/22/2024]
Abstract
BACKGROUND Type 2 innate lymphoid cells (ILC2s) play a pivotal role in type 2 asthma. CD226 is a costimulatory molecule involved in various inflammatory diseases. OBJECTIVE We aimed to investigate CD226 expression and function within human and mouse ILC2s, and to assess the impact of targeting CD226 on ILC2-mediated airway hyperreactivity (AHR). METHODS We administered IL-33 intranasally to wild-type mice, followed by treatment with anti-CD226 antibody or isotype control. Pulmonary ILC2s were sorted for ex vivo analyses through RNA sequencing and flow cytometry. Next, we evaluated the effects of CD226 on AHR and lung inflammation in wild-type and Rag2-/- mice. Additionally, we compared peripheral ILC2s from healthy donors and asthmatic patients to ascertain the role of CD226 in human ILC2s. RESULTS Our findings demonstrated an inducible expression of CD226 in activated ILC2s, enhancing their cytokine secretion and effector functions. Mechanistically, CD226 alters intracellular metabolism and enhances PI3K/AKT and MAPK signal pathways. Blocking CD226 ameliorates ILC2-dependent AHR in IL-33 and Alternaria alternata-induced models. Interestingly, CD226 is expressed and inducible in human ILC2s, and its blocking reduces cytokine production. Finally, we showed that peripheral ILC2s in asthmatic patients exhibited elevated CD226 expression compared to healthy controls. CONCLUSION Our findings underscore the potential of CD226 as a novel therapeutic target in ILC2s, presenting a promising avenue for ameliorating AHR and allergic asthma.
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Affiliation(s)
- Yoshihiro Sakano
- Department of Molecular Microbiology and Immunology, Keck School of Medicine of the University of Southern California, Los Angeles, Calif
| | - Kei Sakano
- Department of Molecular Microbiology and Immunology, Keck School of Medicine of the University of Southern California, Los Angeles, Calif
| | - Benjamin P Hurrell
- Department of Molecular Microbiology and Immunology, Keck School of Medicine of the University of Southern California, Los Angeles, Calif
| | - Doumet Georges Helou
- Department of Molecular Microbiology and Immunology, Keck School of Medicine of the University of Southern California, Los Angeles, Calif
| | - Pedram Shafiei-Jahani
- Department of Molecular Microbiology and Immunology, Keck School of Medicine of the University of Southern California, Los Angeles, Calif
| | - Mohammad H Kazemi
- Department of Molecular Microbiology and Immunology, Keck School of Medicine of the University of Southern California, Los Angeles, Calif
| | - Xin Li
- Department of Molecular Microbiology and Immunology, Keck School of Medicine of the University of Southern California, Los Angeles, Calif
| | - Stephen Shen
- Department of Molecular Microbiology and Immunology, Keck School of Medicine of the University of Southern California, Los Angeles, Calif
| | - James R Hilser
- Departments of Population & Public Health Sciences and Biochemistry & Molecular Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, Calif
| | - Jaana A Hartiala
- Departments of Population & Public Health Sciences and Biochemistry & Molecular Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, Calif
| | - Hooman Allayee
- Departments of Population & Public Health Sciences and Biochemistry & Molecular Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, Calif
| | - Richard Barbers
- Department of Clinical Medicine, Division of Pulmonary and Critical Care Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, Calif
| | - Omid Akbari
- Department of Molecular Microbiology and Immunology, Keck School of Medicine of the University of Southern California, Los Angeles, Calif.
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7
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Risemberg EL, Smeekens JM, Cruz Cisneros MC, Hampton BK, Hock P, Linnertz CL, Miller DR, Orgel K, Shaw GD, de Villena FPM, Burks AW, Valdar W, Kulis MD, Ferris MT. A mutation in Themis contributes to anaphylaxis severity following oral peanut challenge in CC027 mice. J Allergy Clin Immunol 2024:S0091-6749(24)00411-1. [PMID: 38670234 DOI: 10.1016/j.jaci.2024.03.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 03/12/2024] [Accepted: 03/22/2024] [Indexed: 04/28/2024]
Abstract
BACKGROUND The development of peanut allergy is due to a combination of genetic and environmental factors, although specific genes have proven difficult to identify. Previously, we reported that peanut-sensitized Collaborative Cross strain CC027/GeniUnc (CC027) mice develop anaphylaxis upon oral challenge to peanut, in contrast to C3H/HeJ (C3H) mice. OBJECTIVE This study aimed to determine the genetic basis of orally induced anaphylaxis to peanut in CC027 mice. METHODS A genetic mapping population between CC027 and C3H mice was designed to identify the genetic factors that drive oral anaphylaxis. A total of 356 CC027xC3H backcrossed mice were generated, sensitized to peanut, then challenged to peanut by oral gavage. Anaphylaxis and peanut-specific IgE were quantified for all mice. T-cell phenotyping was conducted on CC027 mice and 5 additional Collaborative Cross strains. RESULTS Anaphylaxis to peanut was absent in 77% of backcrossed mice, with 19% showing moderate anaphylaxis and 4% having severe anaphylaxis. There were 8 genetic loci associated with variation in response to peanut challenge-6 associated with anaphylaxis (temperature decrease) and 2 associated with peanut-specific IgE levels. There were 2 major loci that impacted multiple aspects of the severity of acute anaphylaxis, at which the CC027 allele was associated with worse outcome. At one of these loci, CC027 has a private genetic variant in the Themis gene. Consistent with described functions of Themis, we found that CC027 mice have more immature T cells with fewer CD8+, CD4+, and CD4+CD25+CD127- regulatory T cells. CONCLUSIONS Our results demonstrate a key role for Themis in the orally reactive CC027 mouse model of peanut allergy.
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Affiliation(s)
- Ellen L Risemberg
- Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Johanna M Smeekens
- Division of Allergy and Immunology, Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Marta C Cruz Cisneros
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC; Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Brea K Hampton
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC; Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Pablo Hock
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Colton L Linnertz
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Darla R Miller
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Kelly Orgel
- Division of Allergy and Immunology, Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Ginger D Shaw
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Fernando Pardo Manuel de Villena
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - A Wesley Burks
- Division of Allergy and Immunology, Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - William Valdar
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC.
| | - Michael D Kulis
- Division of Allergy and Immunology, Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC.
| | - Martin T Ferris
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC.
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8
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Zhou X, Sampath V, Nadeau KC. Effect of air pollution on asthma. Ann Allergy Asthma Immunol 2024; 132:426-432. [PMID: 38253122 PMCID: PMC10990824 DOI: 10.1016/j.anai.2024.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 01/16/2024] [Accepted: 01/16/2024] [Indexed: 01/24/2024]
Abstract
Asthma is a chronic inflammatory airway disease characterized by respiratory symptoms, variable airflow obstruction, bronchial hyperresponsiveness, and airway inflammation. Exposure to air pollution has been linked to an increased risk of asthma development and exacerbation. This review aims to comprehensively summarize recent data on the impact of air pollution on asthma development and exacerbation. Specifically, we reviewed the effects of air pollution on the pathogenic pathways of asthma, including type 2 and non-type 2 inflammatory responses, and airway epithelial barrier dysfunction. Air pollution promotes the release of epithelial cytokines, driving TH2 responses, and induces oxidative stress and the production of proinflammatory cytokines. The enhanced type 2 inflammation, furthered by air pollution-induced dysfunction of the airway epithelial barrier, may be associated with the exacerbation of asthma. Disruption of the TH17/regulatory T cell balance by air pollutants is also related to asthma exacerbation. As the effects of air pollution exposure may accumulate over time, with potentially stronger impacts in the development of asthma during certain sensitive life periods, we also reviewed the effects of air pollution on asthma across the lifespan. Future research is needed to better characterize the sensitive period contributing to the development of air pollution-induced asthma and to map air pollution-associated epigenetic biomarkers contributing to the epigenetic ages onto asthma-related genes.
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Affiliation(s)
- Xiaoying Zhou
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Vanitha Sampath
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Kari C Nadeau
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
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9
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Sayers I, John C, Chen J, Hall IP. Genetics of chronic respiratory disease. Nat Rev Genet 2024:10.1038/s41576-024-00695-0. [PMID: 38448562 DOI: 10.1038/s41576-024-00695-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/19/2024] [Indexed: 03/08/2024]
Abstract
Chronic respiratory diseases, such as chronic obstructive pulmonary disease (COPD), asthma and interstitial lung diseases are frequently occurring disorders with a polygenic basis that account for a large global burden of morbidity and mortality. Recent large-scale genetic epidemiology studies have identified associations between genetic variation and individual respiratory diseases and linked specific genetic variants to quantitative traits related to lung function. These associations have improved our understanding of the genetic basis and mechanisms underlying common lung diseases. Moreover, examining the overlap between genetic associations of different respiratory conditions, along with evidence for gene-environment interactions, has yielded additional biological insights into affected molecular pathways. This genetic information could inform the assessment of respiratory disease risk and contribute to stratified treatment approaches.
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Affiliation(s)
- Ian Sayers
- NIHR Nottingham Biomedical Research Centre, University of Nottingham, University Park, Nottingham, UK
- Biodiscovery Institute, School of Medicine, University of Nottingham, University Park, Nottingham, UK
| | - Catherine John
- University of Leicester, Leicester, UK
- University Hospitals of Leicester, Leicester, UK
| | - Jing Chen
- University of Leicester, Leicester, UK
| | - Ian P Hall
- NIHR Nottingham Biomedical Research Centre, University of Nottingham, University Park, Nottingham, UK.
- Biodiscovery Institute, School of Medicine, University of Nottingham, University Park, Nottingham, UK.
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10
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Chiesa Fuxench ZC, Mitra N, Del Pozo D, Hoffstad O, Shin DB, Margolis DJ. Risk of atopic dermatitis and the atopic march paradigm in children of mothers with atopic illnesses: A birth cohort study from the United Kingdom. J Am Acad Dermatol 2024; 90:561-568. [PMID: 37984723 PMCID: PMC10922528 DOI: 10.1016/j.jaad.2023.11.013] [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: 08/22/2023] [Revised: 09/13/2023] [Accepted: 11/01/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND Atopic dermatitis (AD) is thought to precede the onset of other allergic illness (OAI) in a temporal progression (ie, atopic march), yet the timing and progression has been questioned. It is also unclear how parental allergic illness impacts the development of these illnesses in offspring. OBJECTIVE (1) Explore risk of incident AD and (2) timing of allergic disease onset in children of mothers with AD compared with mothers without AD from the United Kingdom. METHODS We created a birth cohort of mother-child pairs using IQVIA Medical Research Data database and developed Cox proportional models to examine the above associations (hazard ratio, HR [95% confidence interval, CI]). RESULTS Among 1,224,243 child-mother pairs, mean child (standard deviation) follow-up time was 10.8 (8.3) years and 50.1% were males (N = 600,905). Children were 59% (HR = 1.59 [1.57, 1.60]) more likely to have AD if their mothers had AD compared with no AD with mean age of first AD diagnosis at 3.3 (4.8) years. Most children with any diagnosis of AD present with AD first (91.0%); however, in those with asthma, only 67.8% developed AD first. CONCLUSION Children born to mothers with AD are more prone to develop AD and some develop OAI first, suggesting that not all follow the same sequential pathway.
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Affiliation(s)
- Zelma C Chiesa Fuxench
- Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Nandita Mitra
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Ole Hoffstad
- Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Daniel B Shin
- Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - David J Margolis
- Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
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11
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Liu DS, Wang XS, Zhong XH, Cao H, Zhang F. Sexual dimorphism in the gut microbiota and sexual dimorphism in chronic diseases: Association or causation? J Steroid Biochem Mol Biol 2024; 237:106451. [PMID: 38154505 DOI: 10.1016/j.jsbmb.2023.106451] [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: 10/20/2022] [Revised: 03/31/2023] [Accepted: 12/24/2023] [Indexed: 12/30/2023]
Abstract
Understanding the sexual dimorphism in diseases is essential to investigate the pathogenesis of some chronic diseases (e.g., autoimmune diseases, etc). The gut microbiota has been found to show a notable impact on the pathology of several chronic diseases in recent years. Intriguingly, the composition of the gut microbiota varies between sexes. Here, we reviewed 'facts and fiction' regarding sexual dimorphism in chronic diseases and sexual dimorphism in the gut microbiota respectively. The association and causative relationship between them aiming to elucidate the pathological mechanisms of sexual dimorphism in chronic diseases were further explored. The development of gender-special food products based on the sexual dimorphism in the gut microbiota were recommended, which would be beneficial to facilitating the personalized treatment.
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Affiliation(s)
- Dong-Song Liu
- Affiliated Hospital of Jiangnan University, Wuxi, China; Nantong University, Nantong, China
| | - Xue-Song Wang
- Affiliated Hospital of Jiangnan University, Wuxi, China; Nantong University, Nantong, China; Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Xiao-Hui Zhong
- Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Hong Cao
- Affiliated Hospital of Jiangnan University, Wuxi, China; Nantong University, Nantong, China; Wuxi School of Medicine, Jiangnan University, Wuxi, China.
| | - Feng Zhang
- Affiliated Hospital of Jiangnan University, Wuxi, China; Wuxi School of Medicine, Jiangnan University, Wuxi, China.
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12
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Smilnak GJ, Lee Y, Chattopadhyay A, Wyss AB, White JD, Sikdar S, Jin J, Grant AJ, Motsinger-Reif AA, Li JL, Lee M, Yu B, London SJ. Plasma protein signatures of adult asthma. Allergy 2024; 79:643-655. [PMID: 38263798 PMCID: PMC10994188 DOI: 10.1111/all.16000] [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: 07/17/2023] [Revised: 11/08/2023] [Accepted: 12/04/2023] [Indexed: 01/25/2024]
Abstract
BACKGROUND Adult asthma is complex and incompletely understood. Plasma proteomics is an evolving technique that can both generate biomarkers and provide insights into disease mechanisms. We aimed to identify plasma proteomic signatures of adult asthma. METHODS Protein abundance in plasma was measured in individuals from the Agricultural Lung Health Study (ALHS) (761 asthma, 1095 non-case) and the Atherosclerosis Risk in Communities study (470 asthma, 10,669 non-case) using the SOMAScan 5K array. Associations with asthma were estimated using covariate adjusted logistic regression and meta-analyzed using inverse-variance weighting. Additionally, in ALHS, we examined phenotypes based on both asthma and seroatopy (asthma with atopy (n = 207), asthma without atopy (n = 554), atopy without asthma (n = 147), compared to neither (n = 948)). RESULTS Meta-analysis of 4860 proteins identified 115 significantly (FDR<0.05) associated with asthma. Multiple signaling pathways related to airway inflammation and pulmonary injury were enriched (FDR<0.05) among these proteins. A proteomic score generated using machine learning provided predictive value for asthma (AUC = 0.77, 95% CI = 0.75-0.79 in training set; AUC = 0.72, 95% CI = 0.69-0.75 in validation set). Twenty proteins are targeted by approved or investigational drugs for asthma or other conditions, suggesting potential drug repurposing. The combined asthma-atopy phenotype showed significant associations with 20 proteins, including five not identified in the overall asthma analysis. CONCLUSION This first large-scale proteomics study identified over 100 plasma proteins associated with current asthma in adults. In addition to validating previous associations, we identified many novel proteins that could inform development of diagnostic biomarkers and therapeutic targets in asthma management.
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Affiliation(s)
- Gordon J. Smilnak
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Yura Lee
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Abhijnan Chattopadhyay
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Annah B. Wyss
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Julie D. White
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
- GenOmics and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Sinjini Sikdar
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
- Department of Mathematics and Statistics, Old Dominion University, Norfolk, VA, USA
| | | | - Andrew J. Grant
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Alison A. Motsinger-Reif
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Jian-Liang Li
- Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Mikyeong Lee
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Stephanie J. London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
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13
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Kulshreshtha A, Bhatnagar S. Structural effect of the H992D/H418D mutation of angiotensin-converting enzyme in the Indian population: implications for health and disease. J Biomol Struct Dyn 2024:1-18. [PMID: 38411559 DOI: 10.1080/07391102.2024.2321246] [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: 08/11/2023] [Accepted: 02/14/2024] [Indexed: 02/28/2024]
Abstract
The Non synonymous SNPs (nsSNPs) of the renin-angiotensin-system (RAS) pathway, unique to the Indian population were investigated in view of its importance as an endocrine system. nsSNPs of the RAS pathway genes were mined from the IndiGenome database. Damaging nsSNPs were predicted using SIFT, PredictSNP, SNP and GO, Snap2 and Protein Variation Effect Analyzer. Loss of function was predicted based on protein stability change using I mutant, PremPS and CONSURF. The structural impact of the nsSNPs was predicted using HOPE and Missense3d followed by modeling, refinement, and energy minimization. Molecular Dynamics studies were carried out using Gromacsv2021.1. 23 Indian nsSNPs of the RAS pathway genes were selected for structural analysis and 8 were predicted to be damaging. Further sequence analysis showed that HEMGH zinc binding motif changes to HEMGD in somatic ACE-C domain (sACE-C) H992D and Testis ACE (tACE) H418D resulted in loss of zinc coordination, which is essential for enzymatic activity in this metalloprotease. There was a loss of internal interactions around the zinc coordination residues in the protein structural network. This was also confirmed by Principal Component Analysis, Free Energy Landscape and residue contact maps. Both mutations lead to broadening of the AngI binding cavity. The H992D mutation in sACE-C is likely to be favorable for cardiovascular health, but may lead to renal abnormalities with secondary impact on the heart. H418D in tACE is potentially associated with male infertility.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Akanksha Kulshreshtha
- Computational and Structural Biology Laboratory, Department of Biological Sciences and Engineering, Netaji Subhas University of Technology, Dwarka, New Delhi, India
| | - Sonika Bhatnagar
- Computational and Structural Biology Laboratory, Department of Biological Sciences and Engineering, Netaji Subhas University of Technology, Dwarka, New Delhi, India
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14
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Haque TT, Weissler KA, Schmiechen Z, Laky K, Schwartz DM, Li J, Locci M, Turfkruyer M, Yao C, Schaughency P, Leak L, Lack J, Kanno Y, O'Shea J, Frischmeyer-Guerrerio PA. TGFβ prevents IgE-mediated allergic disease by restraining T follicular helper 2 differentiation. Sci Immunol 2024; 9:eadg8691. [PMID: 38241399 DOI: 10.1126/sciimmunol.adg8691] [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: 01/26/2023] [Accepted: 11/15/2023] [Indexed: 01/21/2024]
Abstract
Allergic diseases are common, affecting more than 20% of the population. Genetic variants in the TGFβ pathway are strongly associated with atopy. To interrogate the mechanisms underlying this association, we examined patients and mice with Loeys-Dietz syndrome (LDS) who harbor missense mutations in the kinase domain of TGFΒR1/2. We demonstrate that LDS mutations lead to reduced TGFβ signaling and elevated total and allergen-specific IgE, despite the presence of wild-type T regulatory cells in a chimera model. Germinal center activity was enhanced in LDS and characterized by a selective increase in type 2 follicular helper T cells (TFH2). Expression of Pik3cg was increased in LDS TFH cells and associated with reduced levels of the transcriptional repressor SnoN. PI3Kγ/mTOR signaling in LDS naïve CD4+ T cells was elevated after T cell receptor cross-linking, and pharmacologic inhibition of PI3Kγ or mTOR prevented exaggerated TFH2 and antigen-specific IgE responses after oral antigen exposure in an adoptive transfer model. Naïve CD4+ T cells from nonsyndromic allergic individuals also displayed decreased TGFβ signaling, suggesting that our mechanistic discoveries may be broadly relevant to allergic patients in general. Thus, TGFβ plays a conserved, T cell-intrinsic, and nonredundant role in restraining TFH2 development via the PI3Kγ/mTOR pathway and thereby protects against allergic disease.
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Affiliation(s)
- Tamara T Haque
- Laboratory of Allergic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Katherine A Weissler
- Laboratory of Allergic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Zoe Schmiechen
- Laboratory of Allergic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Karen Laky
- Laboratory of Allergic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Daniella M Schwartz
- Laboratory of Allergic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Jenny Li
- Laboratory of Allergic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Michela Locci
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mathilde Turfkruyer
- Laboratory of Allergic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Chen Yao
- Laboratory of Lymphocyte Nuclear Biology, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Paul Schaughency
- Collaborative Bioinformatics Resource, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Lashawna Leak
- Laboratory of Allergic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Justin Lack
- Collaborative Bioinformatics Resource, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Yuka Kanno
- Laboratory of Lymphocyte Nuclear Biology, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, USA
| | - John O'Shea
- Laboratory of Lymphocyte Nuclear Biology, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Pamela A Frischmeyer-Guerrerio
- Laboratory of Allergic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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15
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Tutino M, Hankinson J, Murray C, Lowe L, Kerry G, Rattray M, Custovic A, Johnston SL, Shi C, Orozco G, Eyre S, Martin P, Simpson A, Curtin JA. Identification of differences in CD4 + T-cell gene expression between people with asthma and healthy controls. Sci Rep 2023; 13:22796. [PMID: 38129444 PMCID: PMC10739740 DOI: 10.1038/s41598-023-49135-9] [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: 03/23/2023] [Accepted: 12/04/2023] [Indexed: 12/23/2023] Open
Abstract
Functional enrichment analysis of genome-wide association study (GWAS)-summary statistics has suggested that CD4+ T-cells play an important role in asthma pathogenesis. Despite this, CD4+ T-cells are under-represented in asthma transcriptome studies. To fill the gap, 3'-RNA-Seq was used to generate gene expression data on CD4+ T-cells (isolated within 2 h from collection) from peripheral blood from participants with well-controlled asthma (n = 32) and healthy controls (n = 11). Weighted Gene Co-expression Network Analysis (WGCNA) was used to identify sets of co-expressed genes (modules) associated with the asthma phenotype. We identified three modules associated with asthma, which are strongly enriched for GWAS-identified asthma genes, antigen processing/presentation and immune response to viral infections. Through integration of publicly available eQTL and GWAS summary statistics (colocalisation), and protein-protein interaction (PPI) data, we identified PTPRC, a potential druggable target, as a putative master regulator of the asthma gene-expression profiles. Using a co-expression network approach, with integration of external genetic and PPI data, we showed that CD4+ T-cells from peripheral blood from asthmatics have different expression profiles, albeit small in magnitude, compared to healthy controls, for sets of genes involved in immune response to viral infections (upregulated) and antigen processing/presentation (downregulated).
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Affiliation(s)
- Mauro Tutino
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK.
| | - Jenny Hankinson
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK
| | - Clare Murray
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK
- Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Lesley Lowe
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK
- Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Gina Kerry
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK
- Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Magnus Rattray
- Division of Informatics, Imaging and Data Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Adnan Custovic
- National Heart and Lung Institute, Asthma UK Centre in Allergic Mechanisms of Asthma, Imperial College London, London, UK
| | - Sebastian L Johnston
- National Heart and Lung Institute, Asthma UK Centre in Allergic Mechanisms of Asthma, Imperial College London, London, UK
| | - Chenfu Shi
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Gisela Orozco
- Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester, UK
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Stephen Eyre
- Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester, UK
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Paul Martin
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- The Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Angela Simpson
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK
| | - John A Curtin
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK
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16
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Arenella M, Fanelli G, Kiemeney LA, McAlonan G, Murphy DG, Bralten J. Genetic relationship between the immune system and autism. Brain Behav Immun Health 2023; 34:100698. [PMID: 38020478 PMCID: PMC10663755 DOI: 10.1016/j.bbih.2023.100698] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023] Open
Abstract
Autism spectrum disorder (ASD) is a common and complex neurodevelopmental condition. The pathophysiology of ASD is poorly defined; however, it includes a strong genetic component and there is increasing evidence to support a role of immune dysregulation. Nonetheless, it is unclear which immune phenotypes link to ASD through genetics. Hence, we investigated the genetic correlation between ASD and diverse classes of immune conditions and markers; and if these immune-related genetic factors link to specific autistic-like traits in the population. We estimated global and local genetic correlations between ASD (n = 55,420) and 11 immune phenotypes (n = 14,256-755,406) using genome-wide association study summary statistics. Subsequently, polygenic scores (PGS) for these immune phenotypes were calculated in a population-based sample (n = 2487) and associated to five autistic-like traits (i.e., attention to detail, childhood behaviour, imagination, rigidity, social skills), and a total autistic-like traits score. Sex-stratified PGS analyses were also performed. At the genome-wide level, ASD was positively correlated with allergic diseases (ALG), and negatively correlated with lymphocyte count, rheumatoid arthritis (RA), and systemic lupus erythematosus (SLE) (FDR-p = 0.01-0.02). At the local genetic level, ASD was correlated with RA, C-reactive protein, and granulocytes and lymphocyte counts (p = 5.8 × 10-6-0.002). In the general population sample, increased genetic liability for SLE, RA, ALG, and lymphocyte levels, captured by PGS, was associated with the total autistic score and with rigidity and childhood behaviour (FDR-p = 0.03). In conclusion, we demonstrated a genetic relationship between ASD and immunity that depends on the type of immune phenotype considered; some increase likelihood whereas others may potentially help build resilience. Also, this relationship may be restricted to specific genetic loci and link to specific autistic dimensions (e.g., rigidity).
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Affiliation(s)
- Martina Arenella
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Giuseppe Fanelli
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Lambertus A. Kiemeney
- Department for Health Evidence, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Grainne McAlonan
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- Maudsley and South London NHS Foundation, London, United Kingdom
| | - Declan G. Murphy
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- Maudsley and South London NHS Foundation, London, United Kingdom
| | - Janita Bralten
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
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17
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Moll M, Sordillo JE, Ghosh AJ, Hayden LP, McDermott G, McGeachie MJ, Dahlin A, Tiwari A, Manmadkar MG, Abston ED, Pavuluri C, Saferali A, Begum S, Ziniti JP, Gulsvik A, Bakke PS, Aschard H, Iribarren C, Hersh CP, Sparks JA, Hobbs BD, Lasky-Su JA, Silverman EK, Weiss ST, Wu AC, Cho MH. Polygenic risk scores identify heterogeneity in asthma and chronic obstructive pulmonary disease. J Allergy Clin Immunol 2023; 152:1423-1432. [PMID: 37595761 PMCID: PMC10841234 DOI: 10.1016/j.jaci.2023.08.002] [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: 01/11/2023] [Revised: 07/27/2023] [Accepted: 08/08/2023] [Indexed: 08/20/2023]
Abstract
BACKGROUND Asthma and chronic obstructive pulmonary disease (COPD) have distinct and overlapping genetic and clinical features. OBJECTIVE We sought to test the hypothesis that polygenic risk scores (PRSs) for asthma (PRSAsthma) and spirometry (FEV1 and FEV1/forced vital capacity; PRSspiro) would demonstrate differential associations with asthma, COPD, and asthma-COPD overlap (ACO). METHODS We developed and tested 2 asthma PRSs and applied the higher performing PRSAsthma and a previously published PRSspiro to research (Genetic Epidemiology of COPD study and Childhood Asthma Management Program, with spirometry) and electronic health record-based (Mass General Brigham Biobank and Genetic Epidemiology Research on Adult Health and Aging [GERA]) studies. We assessed the association of PRSs with COPD and asthma using modified random-effects and binary-effects meta-analyses, and ACO and asthma exacerbations in specific cohorts. Models were adjusted for confounders and genetic ancestry. RESULTS In meta-analyses of 102,477 participants, the PRSAsthma (odds ratio [OR] per SD, 1.16 [95% CI, 1.14-1.19]) and PRSspiro (OR per SD, 1.19 [95% CI, 1.17-1.22]) both predicted asthma, whereas the PRSspiro predicted COPD (OR per SD, 1.25 [95% CI, 1.21-1.30]). However, results differed by cohort. The PRSspiro was not associated with COPD in GERA and Mass General Brigham Biobank. In the Genetic Epidemiology of COPD study, the PRSAsthma (OR per SD: Whites, 1.3; African Americans, 1.2) and PRSspiro (OR per SD: Whites, 2.2; African Americans, 1.6) were both associated with ACO. In GERA, the PRSAsthma was associated with asthma exacerbations (OR, 1.18) in Whites; the PRSspiro was associated with asthma exacerbations in White, LatinX, and East Asian participants. CONCLUSIONS PRSs for asthma and spirometry are both associated with ACO and asthma exacerbations. Genetic prediction performance differs in research versus electronic health record-based cohorts.
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Affiliation(s)
- Matthew Moll
- Department of Medicine, Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Harvard Medical School, Boston, Mass; Harvard Medical School, Brigham and Women's Hospital, Boston, Mass
| | - Joanne E Sordillo
- Department of Population Medicine, PRecisiOn Medicine Translational Research (PROMoTeR) Center, Harvard Medical School and Harvard Pilgrim Health Care, Boston, Mass
| | - Auyon J Ghosh
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, SUNY Upstate Medical Center, Syracuse, NY
| | - Lystra P Hayden
- Department of Pediatrics, Division of Pulmonary Medicine, Boston Children's Hospital, Harvard Medical School, Massachusetts General Hospital, Boston, Mass; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, Mass
| | - Gregory McDermott
- Harvard Medical School, Brigham and Women's Hospital, Boston, Mass; Department of Medicine, Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, Mass
| | - Michael J McGeachie
- Harvard Medical School, Brigham and Women's Hospital, Boston, Mass; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, Mass
| | - Amber Dahlin
- Harvard Medical School, Brigham and Women's Hospital, Boston, Mass; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, Mass
| | - Anshul Tiwari
- Harvard Medical School, Brigham and Women's Hospital, Boston, Mass; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, Mass
| | - Monica G Manmadkar
- Harvard Medical School, Brigham and Women's Hospital, Boston, Mass; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, Mass
| | - Eric D Abston
- Department of Thoracic Surgery, Massachusetts General Hospital, Boston, Mass
| | - Chandan Pavuluri
- Department of Medicine, Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Harvard Medical School, Boston, Mass; Harvard Medical School, Brigham and Women's Hospital, Boston, Mass
| | - Aabida Saferali
- Harvard Medical School, Brigham and Women's Hospital, Boston, Mass; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, Mass
| | - Sofina Begum
- Harvard Medical School, Brigham and Women's Hospital, Boston, Mass; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, Mass
| | - John P Ziniti
- Harvard Medical School, Brigham and Women's Hospital, Boston, Mass; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, Mass
| | - Amund Gulsvik
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Per S Bakke
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Hugues Aschard
- Department of Computational Biology, Institut Pasteur, Universit de Paris, Paris, France
| | - Carlos Iribarren
- Division of Research, Kaiser Permanente Northern California, Oakland, Calif
| | - Craig P Hersh
- Department of Medicine, Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Harvard Medical School, Boston, Mass; Harvard Medical School, Brigham and Women's Hospital, Boston, Mass
| | - Jeffrey A Sparks
- Harvard Medical School, Brigham and Women's Hospital, Boston, Mass; Department of Medicine, Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, Mass
| | - Brian D Hobbs
- Department of Medicine, Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Harvard Medical School, Boston, Mass; Harvard Medical School, Brigham and Women's Hospital, Boston, Mass
| | - Jessica A Lasky-Su
- Harvard Medical School, Brigham and Women's Hospital, Boston, Mass; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, Mass
| | - Edwin K Silverman
- Harvard Medical School, Brigham and Women's Hospital, Boston, Mass; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, Mass
| | - Scott T Weiss
- Harvard Medical School, Brigham and Women's Hospital, Boston, Mass; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, Mass
| | - Ann Chen Wu
- Department of Population Medicine, PRecisiOn Medicine Translational Research (PROMoTeR) Center, Harvard Medical School and Harvard Pilgrim Health Care, Boston, Mass
| | - Michael H Cho
- Department of Medicine, Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Harvard Medical School, Boston, Mass; Harvard Medical School, Brigham and Women's Hospital, Boston, Mass.
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18
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Caparros-Gonzalez RA, Essau C, Gouin JP, Pemau A, Galvez-Merlin A, de la Torre-Luque A. Perinatal, obstetric and parental risk factors for asthma in the offspring throughout childhood: a longitudinal cohort study. J Perinat Med 2023; 51:1163-1170. [PMID: 37326102 DOI: 10.1515/jpm-2022-0543] [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: 11/09/2022] [Accepted: 04/29/2023] [Indexed: 06/17/2023]
Abstract
OBJECTIVES Asthma is a common chronic and burdensome disease which typically begins in childhood. The aim of this study was to assess perinatal and obstetric factors which may increase the risk of developing asthma in the offspring. METHODS Data from five consecutive waves (n=7,073 children, from birth to 15 years old) from a nationally-representative birth cohort of people born in the United Kingdom between 2000 and 2002, the Millennium Cohort Study (MCS), were used. The Kaplan-Meier survival curve was used to graphically display the risk of developing asthma from early childhood to adolescence. The Z-based Wald test was used to prove significant covariate loading. RESULTS Cox regression analyzing the influence of covariates on asthma development risk showed a significant likelihood ratio test, χ2(18)=899.30, p<0.01. A parent with asthma (OR=2.02, p<0.01), a younger maternal age at delivery (OR=0.98, p<0.05), and the use of assisted reproductive technology (OR=1.43, p<0.05) were associated with an increased risk of developing asthma in the offspring. CONCLUSIONS Perinatal factors (a younger maternal age, assisted reproductive technology) and a parental factor (a parent with asthma) increased the risk for developing asthma in the offspring.
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Affiliation(s)
- Rafael A Caparros-Gonzalez
- Department of Nursing, Faculty of Health Sciences, University of Granada, Granada, Spain
- Instituto de Investigacion Biosanitaria ibs.GRANADA, Granada, Spain
| | - Cecilia Essau
- School of Psychology, University of Roehampton, London, UK
| | | | - Andres Pemau
- Department of Personality, Assessment and Clinical Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | - Alejandra Galvez-Merlin
- Department of Personality, Assessment and Clinical Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | - Alejandro de la Torre-Luque
- Department of Legal Medicine, Psychiatry and Pathology, Universidad Complutense de Madrid, Madrid, Spain
- Centre for Biomedical Research in Mental Health (CIBERSAM), Madrid, Spain
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19
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Jain PR, Burch M, Martinez M, Mir P, Fichna JP, Zekanowski C, Rizzo R, Tümer Z, Barta C, Yannaki E, Stamatoyannopoulos J, Drineas P, Paschou P. Can polygenic risk scores help explain disease prevalence differences around the world? A worldwide investigation. BMC Genom Data 2023; 24:70. [PMID: 37986041 PMCID: PMC10662565 DOI: 10.1186/s12863-023-01168-9] [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: 03/22/2023] [Accepted: 10/20/2023] [Indexed: 11/22/2023] Open
Abstract
Complex disorders are caused by a combination of genetic, environmental and lifestyle factors, and their prevalence can vary greatly across different populations. The extent to which genetic risk, as identified by Genome Wide Association Study (GWAS), correlates to disease prevalence in different populations has not been investigated systematically. Here, we studied 14 different complex disorders and explored whether polygenic risk scores (PRS) based on current GWAS correlate to disease prevalence within Europe and around the world. A clear variation in GWAS-based genetic risk was observed based on ancestry and we identified populations that have a higher genetic liability for developing certain disorders. We found that for four out of the 14 studied disorders, PRS significantly correlates to disease prevalence within Europe. We also found significant correlations between worldwide disease prevalence and PRS for eight of the studied disorders with Multiple Sclerosis genetic risk having the highest correlation to disease prevalence. Based on current GWAS results, the across population differences in genetic risk for certain disorders can potentially be used to understand differences in disease prevalence and identify populations with the highest genetic liability. The study highlights both the limitations of PRS based on current GWAS but also the fact that in some cases, PRS may already have high predictive power. This could be due to the genetic architecture of specific disorders or increased GWAS power in some cases.
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Affiliation(s)
- Pritesh R Jain
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
| | - Myson Burch
- Department of Computer Sciences, Purdue University, West Lafayette, IN, USA
| | - Melanie Martinez
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
| | - Pablo Mir
- Unidad de Trastornos del Movimiento, Instituto de Biomedicina de Sevilla (IBiS). Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Jakub P Fichna
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
- Department of Neurogenetics and Functional Genomics, Mossakowski Medical Research Institute, Polish Academy of Sciences, Warsaw, Poland
| | - Cezary Zekanowski
- Department of Neurogenetics and Functional Genomics, Mossakowski Medical Research Institute, Polish Academy of Sciences, Warsaw, Poland
| | - Renata Rizzo
- Child and Adolescent Neurology and Psychiatry, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Zeynep Tümer
- Department of Clinical Genetics, Kennedy Center, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Csaba Barta
- Department of Molecular Biology, Institute of Biochemistry and Molecular Biology, Semmelweis University, Budapest, Hungary
| | - Evangelia Yannaki
- Hematology Department- Hematopoietic Cell Transplantation Unit, Gene and Cell Therapy Center, George Papanikolaou Hospital, Thessaloniki, Greece
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - John Stamatoyannopoulos
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Department of Medicine, Division of Oncology, University of Washington, Seattle, WA, USA
| | - Petros Drineas
- Department of Computer Sciences, Purdue University, West Lafayette, IN, USA
| | - Peristera Paschou
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA.
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20
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Rumker L, Sakaue S, Reshef Y, Kang JB, Yazar S, Alquicira-Hernandez J, Valencia C, Lagattuta KA, Mah-Som A, Nathan A, Powell JE, Loh PR, Raychaudhuri S. Identifying genetic variants that influence the abundance of cell states in single-cell data. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.13.566919. [PMID: 38014313 PMCID: PMC10680752 DOI: 10.1101/2023.11.13.566919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Introductory ParagraphTo understand genetic mechanisms driving disease, it is essential but difficult to map how risk alleles affect the composition of cells present in the body. Single-cell profiling quantifies granular information about tissues, but variant-associated cell states may reflect diverse combinations of the profiled cell features that are challenging to predefine. We introduce GeNA (Genotype-Neighborhood Associations), a statistical tool to identify cell state abundance quantitative trait loci (csaQTLs) in high-dimensional single-cell datasets. Instead of testing associations to predefined cell states, GeNA flexibly identifies the cell states whose abundance is most associated with genetic variants. In a genome-wide survey of scRNA-seq peripheral blood profiling from 969 individuals,1GeNA identifies five independent loci associated with shifts in the relative abundance of immune cell states. For example, rs3003-T (p=1.96×10-11) associates with increased abundance of NK cells expressing TNF-α response programs. This csaQTL colocalizes with increased risk for psoriasis, an autoimmune disease that responds to anti-TNF treatments. Flexibly characterizing csaQTLs for granular cell states may help illuminate how genetic background alters cellular composition to confer disease risk.
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Affiliation(s)
- Laurie Rumker
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Saori Sakaue
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yakir Reshef
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joyce B. Kang
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Seyhan Yazar
- Translational Genomics, Garvan Institute of Medical Research, Sydney, Australia
- UNSW Cellular Genomics Futures Institute, University of New South Wales, Sydney, Australia
| | - Jose Alquicira-Hernandez
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Cristian Valencia
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kaitlyn A Lagattuta
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Annelise Mah-Som
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Aparna Nathan
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joseph E. Powell
- Translational Genomics, Garvan Institute of Medical Research, Sydney, Australia
- UNSW Cellular Genomics Futures Institute, University of New South Wales, Sydney, Australia
| | - Po-Ru Loh
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
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21
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Butler-Laporte G, Farjoun J, Nakanishi T, Lu T, Abner E, Chen Y, Hultström M, Metspalu A, Milani L, Mägi R, Nelis M, Hudjashov G, Yoshiji S, Ilboudo Y, Liang KYH, Su CY, Willet JDS, Esko T, Zhou S, Forgetta V, Taliun D, Richards JB. HLA allele-calling using multi-ancestry whole-exome sequencing from the UK Biobank identifies 129 novel associations in 11 autoimmune diseases. Commun Biol 2023; 6:1113. [PMID: 37923823 PMCID: PMC10624861 DOI: 10.1038/s42003-023-05496-5] [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: 06/09/2023] [Accepted: 10/20/2023] [Indexed: 11/06/2023] Open
Abstract
The human leukocyte antigen (HLA) region on chromosome 6 is strongly associated with many immune-mediated and infection-related diseases. Due to its highly polymorphic nature and complex linkage disequilibrium patterns, traditional genetic association studies of single nucleotide polymorphisms do not perform well in this region. Instead, the field has adopted the assessment of the association of HLA alleles (i.e., entire HLA gene haplotypes) with disease. Often based on genotyping arrays, these association studies impute HLA alleles, decreasing accuracy and thus statistical power for rare alleles and in non-European ancestries. Here, we use whole-exome sequencing (WES) from 454,824 UK Biobank (UKB) participants to directly call HLA alleles using the HLA-HD algorithm. We show this method is more accurate than imputing HLA alleles and harness the improved statistical power to identify 360 associations for 11 auto-immune phenotypes (at least 129 likely novel), leading to better insights into the specific coding polymorphisms that underlie these diseases. We show that HLA alleles with synonymous variants, often overlooked in HLA studies, can significantly influence these phenotypes. Lastly, we show that HLA sequencing may improve polygenic risk scores accuracy across ancestries. These findings allow better characterization of the role of the HLA region in human disease.
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Affiliation(s)
- Guillaume Butler-Laporte
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada.
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada.
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
| | - Joseph Farjoun
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada
| | - Tomoko Nakanishi
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada
- Kyoto-McGill International Collaborative School in Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Research Fellow, Japan Society for the Promotion of Science, Tokyo, Japan
| | - Tianyuan Lu
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada
- 5 Prime Sciences Inc, Montreal, Quebec, Canada
| | - Erik Abner
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Yiheng Chen
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada
| | - Michael Hultström
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada
- Integrative Physiology, Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
- Anaesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Andres Metspalu
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Lili Milani
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Mari Nelis
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Georgi Hudjashov
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Satoshi Yoshiji
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada
- Kyoto-McGill International Collaborative School in Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Research Fellow, Japan Society for the Promotion of Science, Tokyo, Japan
| | - Yann Ilboudo
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada
| | - Kevin Y H Liang
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada
| | - Chen-Yang Su
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada
| | - Julian D S Willet
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Sirui Zhou
- Department of Human Genetics, McGill University, Montréal, QC, Canada
| | - Vincenzo Forgetta
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada
- 5 Prime Sciences Inc, Montreal, Quebec, Canada
| | - Daniel Taliun
- Department of Human Genetics, McGill University, Montréal, QC, Canada
| | - J Brent Richards
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada
- Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- 5 Prime Sciences Inc, Montreal, Quebec, Canada
- Department of Twin Research, King's College London, London, UK
- Infectious Diseases and Immunity in Global Health Program, Research Institute of the McGill University Health Centre, Montréal, Québec, Canada
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22
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Xing Y, Leung ASY, Wong GWK. From preschool wheezing to asthma: Environmental determinants. Pediatr Allergy Immunol 2023; 34:e14049. [PMID: 38010001 DOI: 10.1111/pai.14049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 11/08/2023] [Indexed: 11/29/2023]
Abstract
Wheezing is common among preschool children, representing a group of highly heterogeneous conditions with varying natural history. Several phenotypes of wheezing have been proposed to facilitate the identification of young children who are at risk of subsequent development of asthma. Epidemiological and immunological studies across different populations have revealed the key role of environmental factors in influencing the progression from preschool wheezing to childhood asthma. Significant risk factors include severe respiratory infections, allergic sensitization, and exposure to tobacco smoke. In contrast, a farming/rural environment has been linked to asthma protection in both human and animal studies. Early and intense exposures to microorganisms and microbial metabolites have been demonstrated to alter host immune responses to allergens and viruses, thereby driving the trajectory away from wheezing illness and asthma. Ongoing clinical trials of candidate microbes and microbial products have shown promise in shaping the immune function to reduce episodes of viral-induced wheezing. Moreover, restoring immune training may be especially important for young children who had reduced microbial exposure due to pandemic restrictions. A comprehensive understanding of the role of modifiable environmental factors will pave the way for developing targeted prevention strategies for preschool wheezing and asthma.
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Affiliation(s)
- Yuhan Xing
- Department of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Special Administrative Region, China
| | - Agnes Sze-Yin Leung
- Department of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Special Administrative Region, China
| | - Gary Wing-Kin Wong
- Department of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Special Administrative Region, China
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23
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Acar IE, Galesloot TE, Luhmann UFO, Fauser S, Gayán J, den Hollander AI, Nogoceke E. Whole Genome Sequencing Identifies Novel Common and Low-Frequency Variants Associated With Age-Related Macular Degeneration. Invest Ophthalmol Vis Sci 2023; 64:24. [PMID: 37975850 PMCID: PMC10664724 DOI: 10.1167/iovs.64.14.24] [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: 11/04/2022] [Accepted: 10/22/2023] [Indexed: 11/19/2023] Open
Abstract
Purpose To identify associations of common, low-frequency, and rare variants with advanced age-related macular degeneration (AMD) using whole genome sequencing (WGS). Methods WGS data were obtained for 2123 advanced AMD patients (participants of clinical trials for advanced AMD) and 2704 controls (participants of clinical trials for asthma [N = 2518] and Alzheimer's disease [N = 186]), and joint genotype calling was performed, followed by quality control of the dataset. Single variant association analyses were performed for all identified common, low-frequency, and rare variants. Gene-based tests were executed for rare and low-frequency variants using SKAT-O and three groups of variants based on putative impact information: (1) all variants, (2) modifier impact variants, and (3) high- and moderate-impact variants. To ascertain independence of the identified associations from previously reported AMD and asthma loci, conditional analyses were performed. Results Previously identified AMD variants at the CFH, ARMS2/HTRA1, APOE, and C3 loci were associated with AMD at a genome-wide significance level. We identified new single variant associations for common variants near the PARK7 gene and in the long non-coding RNA AC103876.1, and for a rare variant near the TENM3 gene. In addition, gene-based association analyses identified a burden of modifier variants in eight intergenic and gene-spanning regions and of high- and moderate-impact variants in the C3, CFHR5, SLC16A8, and CFI genes. Conclusions We describe the largest WGS study in AMD to date. We confirmed previously identified associations and identified several novel associations that are worth exploring in further follow-up studies.
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Affiliation(s)
- Ilhan E. Acar
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland
- Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Tessel E. Galesloot
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department for Health Evidence, Nijmegen, The Netherlands
| | - Ulrich F. O. Luhmann
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland
| | - Sascha Fauser
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland
| | - Javier Gayán
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland
| | - Anneke I. den Hollander
- Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Everson Nogoceke
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland
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24
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Medeleanu MV, Qian YC, Moraes TJ, Subbarao P. Early-immune development in asthma: A review of the literature. Cell Immunol 2023; 393-394:104770. [PMID: 37837916 DOI: 10.1016/j.cellimm.2023.104770] [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: 06/29/2023] [Revised: 09/14/2023] [Accepted: 09/21/2023] [Indexed: 10/16/2023]
Abstract
This review presents a comprehensive examination of the various factors contributing to the immunopathogenesis of asthma from the prenatal to preschool period. We focus on the contributions of genetic and environmental components as well as the role of the nasal and gut microbiome on immune development. Predisposing genetic factors, including inherited genes associated with increased susceptibility to asthma, are discussed alongside environmental factors such as respiratory viruses and pollutant exposure, which can trigger or exacerbate asthma symptoms. Furthermore, the intricate interplay between the nasal and gut microbiome and the immune system is explored, emphasizing their influence on allergic immune development and response to environmental stimuli. This body of literature underscores the necessity of a comprehensive approach to comprehend and manage asthma, as it emphasizes the interactions of multiple factors in immune development and disease progression.
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Affiliation(s)
- Maria V Medeleanu
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Canada; Translational Medicine, SickKids Research Institute, Hospital for Sick Children, Canada
| | - Yu Chen Qian
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Canada; Translational Medicine, SickKids Research Institute, Hospital for Sick Children, Canada
| | - Theo J Moraes
- Translational Medicine, SickKids Research Institute, Hospital for Sick Children, Canada; Laboratory Medicine and Pathology, Temerty Faculty of Medicine, University of Toronto, Canada; Department of Paediatrics, Temerty Faculty of Medicine, University of Toronto, Canada; Division of Respiratory Medicine, Hospital for Sick Children, Canada
| | - Padmaja Subbarao
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Canada; Translational Medicine, SickKids Research Institute, Hospital for Sick Children, Canada; Department of Paediatrics, Temerty Faculty of Medicine, University of Toronto, Canada; Division of Respiratory Medicine, Hospital for Sick Children, Canada; Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Canada.
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25
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Kim DJ, Lim JE, Jung HU, Chung JY, Baek EJ, Jung H, Kwon SY, Kim HK, Kang JO, Park K, Won S, Kim TB, Oh B. Identification of asthma-related genes using asthmatic blood eQTLs of Korean patients. BMC Med Genomics 2023; 16:259. [PMID: 37875944 PMCID: PMC10599017 DOI: 10.1186/s12920-023-01677-7] [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: 02/03/2023] [Accepted: 09/29/2023] [Indexed: 10/26/2023] Open
Abstract
BACKGROUND More than 200 asthma-associated genetic variants have been identified in genome-wide association studies (GWASs). Expression quantitative trait loci (eQTL) data resources can help identify causal genes of the GWAS signals, but it can be difficult to find an eQTL that reflects the disease state because most eQTL data are obtained from normal healthy subjects. METHODS We performed a blood eQTL analysis using transcriptomic and genotypic data from 433 Korean asthma patients. To identify asthma-related genes, we carried out colocalization, Summary-based Mendelian Randomization (SMR) analysis, and Transcriptome-Wide Association Study (TWAS) using the results of asthma GWASs and eQTL data. In addition, we compared the results of disease eQTL data and asthma-related genes with two normal blood eQTL data from Genotype-Tissue Expression (GTEx) project and a Japanese study. RESULTS We identified 340,274 cis-eQTL and 2,875 eGenes from asthmatic eQTL analysis. We compared the disease eQTL results with GTEx and a Japanese study and found that 64.1% of the 2,875 eGenes overlapped with the GTEx eGenes and 39.0% with the Japanese eGenes. Following the integrated analysis of the asthmatic eQTL data with asthma GWASs, using colocalization and SMR methods, we identified 15 asthma-related genes specific to the Korean asthmatic eQTL data. CONCLUSIONS We provided Korean asthmatic cis-eQTL data and identified asthma-related genes by integrating them with GWAS data. In addition, we suggested these asthma-related genes as therapeutic targets for asthma. We envisage that our findings will contribute to understanding the etiological mechanisms of asthma and provide novel therapeutic targets.
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Affiliation(s)
- Dong Jun Kim
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Ji Eun Lim
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Hae-Un Jung
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Korea
| | - Ju Yeon Chung
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Korea
| | | | - Hyein Jung
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Korea
| | - Shin Young Kwon
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Korea
| | - Han Kyul Kim
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Ji-One Kang
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Kyungtaek Park
- Interdisciplinary Program of Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Sungho Won
- Interdisciplinary Program of Bioinformatics, Seoul National University, Seoul, Republic of Korea
- Department of Public Health Sciences, School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Tae-Bum Kim
- Department of Allergy and Clinical Immunology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
| | - Bermseok Oh
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Korea.
- Mendel Inc, Seoul, Republic of Korea.
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26
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Hörner-Schmid L, Palić J, Mueller RS, Schulz B. Serum Allergen-Specific Immunoglobulin E in Cats with Inflammatory Bronchial Disease. Animals (Basel) 2023; 13:3226. [PMID: 37893950 PMCID: PMC10603667 DOI: 10.3390/ani13203226] [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: 08/23/2023] [Revised: 10/13/2023] [Accepted: 10/14/2023] [Indexed: 10/29/2023] Open
Abstract
The etiology of feline inflammatory bronchial disease is poorly understood. This study compares the degree of allergen-specific serum IgE responses between cats with feline asthma, chronic bronchitis, mixed inflammation, and clinically healthy cats (HCs). The retrospective case-control study used serum from eighteen cats with eosinophilic inflammation (EI), ten with neutrophilic inflammation (NI), six with mixed inflammation (MI), and fourteen HCs. Affected cats were categorized into groups based on bronchoalveolar lavage cytology. The measurement of IgE for 34 different allergens including fungal organisms, weeds, grasses, trees, mites, and insects was performed using an indirect ELISA. Positive reactions to allergens were detected in the serum of 17/18 cats with EI, 8/10 with NI, 6/6 with MI, and 11/14 HCs (p = 0.364). When overall positive reactions were compared between groups, cats with MI (p = <0.01) had significantly more positive reactions against mite allergens than HCs. Blood eosinophils inversely correlated with the absolute amount of allergen-specific serum IgE expressed in ELISA absorbance units (EAs) (p = 0.014). Sensitization against dust mites seems to be more prevalent in cats with MI. However, positive IgE reactions can be observed in healthy and diseased cats, and, therefore, need to be interpreted in the light of clinical findings and environmental conditions of individual patients.
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Affiliation(s)
| | - Jelena Palić
- Vet Med Labor GmbH Division of IDEXX Laboratories, 70806 Kornwestheim, Germany
| | - Ralf S. Mueller
- LMU Small Animal Clinic, University of Munich, 80539 Munich, Germany
| | - Bianka Schulz
- LMU Small Animal Clinic, University of Munich, 80539 Munich, Germany
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27
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Dapas M, Lee YL, Wentworth-Sheilds W, Im HK, Ober C, Schoettler N. Revealing polygenic pleiotropy using genetic risk scores for asthma. HGG ADVANCES 2023; 4:100233. [PMID: 37663543 PMCID: PMC10474095 DOI: 10.1016/j.xhgg.2023.100233] [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: 06/02/2023] [Accepted: 08/11/2023] [Indexed: 09/05/2023] Open
Abstract
In this study we examined how genetic risk for asthma associates with different features of the disease and with other medical conditions and traits. Using summary statistics from two multi-ancestry genome-wide association studies of asthma, we modeled polygenic risk scores (PRSs) and validated their predictive performance in the UK Biobank. We then performed phenome-wide association studies of the asthma PRSs with 371 heritable traits in the UK Biobank. We identified 228 total significant associations across a variety of organ systems, including associations that varied by PRS model, sex, age of asthma onset, ancestry, and human leukocyte antigen region alleles. Our results highlight pervasive pleiotropy between asthma and numerous other traits and conditions and elucidate pathways that contribute to asthma and its comorbidities.
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Affiliation(s)
- Matthew Dapas
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Yu Lin Lee
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
- Biological Sciences Collegiate Division, University of Chicago, Chicago, IL, USA
| | | | - Hae Kyung Im
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Carole Ober
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Nathan Schoettler
- Section of Pulmonary and Critical Care Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA
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28
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Voraphani N, Stern DA, Ledford JG, Spangenberg AL, Zhai J, Wright AL, Morgan WJ, Kraft M, Sherrill DL, Curtin JA, Murray CS, Custovic A, Kull I, Hallberg J, Bergström A, Herrera-Luis E, Halonen M, Martinez FD, Simpson A, Melén E, Guerra S. Circulating CC16 and Asthma: A Population-based, Multicohort Study from Early Childhood through Adult Life. Am J Respir Crit Care Med 2023; 208:758-769. [PMID: 37523710 PMCID: PMC10563188 DOI: 10.1164/rccm.202301-0041oc] [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: 01/13/2023] [Accepted: 07/31/2023] [Indexed: 08/02/2023] Open
Abstract
Rationale: Club cell secretory protein (CC16) is an antiinflammatory protein highly expressed in the airways. CC16 deficiency has been associated with lung function deficits, but its role in asthma has not been established conclusively. Objectives: To determine 1) the longitudinal association of circulating CC16 with the presence of active asthma from early childhood through adult life and 2) whether CC16 in early childhood predicts the clinical course of childhood asthma into adult life. Methods: We assessed the association of circulating CC16 and asthma in three population-based birth cohorts: the Tucson Children's Respiratory Study (years 6-36; total participants, 814; total observations, 3,042), the Swedish Barn/Children, Allergy, Milieu, Stockholm, Epidemiological survey (years 8-24; total participants, 2,547; total observations, 3,438), and the UK Manchester Asthma and Allergy Study (years 5-18; total participants, 745; total observations, 1,626). Among 233 children who had asthma at the first survey in any of the cohorts, baseline CC16 was also tested for association with persistence of symptoms. Measurements and Main Results: After adjusting for covariates, CC16 deficits were associated with increased risk for the presence of asthma in all cohorts (meta-analyzed adjusted odds ratio per 1-SD CC16 decrease, 1.20; 95% confidence interval [CI], 1.12-1.28; P < 0.0001). The association was particularly strong for asthma with frequent symptoms (meta-analyzed adjusted relative risk ratio, 1.40; 95% CI, 1.24-1.57; P < 0.0001), was confirmed for both atopic and nonatopic asthma, and was independent of lung function impairment. After adjustment for known predictors of persistent asthma, children with asthma in the lowest CC16 tertile had a nearly fourfold increased risk for having frequent symptoms persisting into adult life compared with children with asthma in the other two CC16 tertiles (meta-analyzed adjusted odds ratio, 3.72; 95% CI, 1.78-7.76; P < 0.0001). Conclusions: Circulating CC16 deficits are associated with the presence of asthma with frequent symptoms from childhood through midadult life and predict the persistence of asthma symptoms into adulthood. These findings support a possible protective role of CC16 in asthma and its potential use for risk stratification.
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Affiliation(s)
- Nipasiri Voraphani
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona
| | - Debra A. Stern
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona
| | - Julie G. Ledford
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona
| | - Amber L. Spangenberg
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona
| | - Jing Zhai
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona
| | - Anne L. Wright
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona
| | - Wayne J. Morgan
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona
| | - Monica Kraft
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona
| | - Duane L. Sherrill
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona
| | - John A. Curtin
- Division of Immunology, Immunity to Infection and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
- Manchester Academic Health Science Centre and National Institute for Health and Care Research Biomedical Research Centre, Manchester University Hospitals National Health Service Foundation Trust, Manchester, United Kingdom
| | - Clare S. Murray
- Division of Immunology, Immunity to Infection and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
- Manchester Academic Health Science Centre and National Institute for Health and Care Research Biomedical Research Centre, Manchester University Hospitals National Health Service Foundation Trust, Manchester, United Kingdom
| | - Adnan Custovic
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Inger Kull
- Department of Clinical Sciences and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- Sachs’ Children and Youth Hospital, Stockholm, Sweden
| | - Jenny Hallberg
- Department of Clinical Sciences and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- Sachs’ Children and Youth Hospital, Stockholm, Sweden
| | - Anna Bergström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; and
| | - Esther Herrera-Luis
- Genomics and Health Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, La Laguna, Spain
| | - Marilyn Halonen
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona
| | - Fernando D. Martinez
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona
| | - Angela Simpson
- Division of Immunology, Immunity to Infection and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
- Manchester Academic Health Science Centre and National Institute for Health and Care Research Biomedical Research Centre, Manchester University Hospitals National Health Service Foundation Trust, Manchester, United Kingdom
| | - Erik Melén
- Department of Clinical Sciences and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- Sachs’ Children and Youth Hospital, Stockholm, Sweden
| | - Stefano Guerra
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona
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29
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Li X, Li H, Christenson SA, Castro M, Denlinger LC, Erzurum SC, Fahy JV, Gaston BM, Israel E, Jarjour NN, Levy BD, Mauger DT, Moore WC, Zein J, Kaminski N, Wenzel SE, Woodruff PG, Bleecker ER, Meyers DA. Genetic analyses of chr11p15.5 region identify MUC5AC- MUC5B associated with asthma-related phenotypes. J Asthma 2023; 60:1824-1835. [PMID: 36946148 PMCID: PMC10524756 DOI: 10.1080/02770903.2023.2193631] [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: 01/30/2023] [Accepted: 03/16/2023] [Indexed: 03/23/2023]
Abstract
OBJECTIVE Genome-wide association studies (GWASs) have identified single nucleotide polymorphisms (SNPs) in chr11p15.5 region associated with asthma and idiopathic interstitial pneumonias (IIPs). We sought to identify functional genes for asthma by combining SNPs and mRNA expression in bronchial epithelial cells (BEC) in the Severe Asthma Research Program (SARP). METHODS Correlation analyses of mRNA expression of six candidate genes (AP2A2, MUC6, MUC2, MUC5AC, MUC5B, and TOLLIP) and asthma phenotypes were performed in the longitudinal cohort (n = 156) with RNAseq in BEC, and replicated in the cross-sectional cohort (n = 155). eQTL (n = 114) and genetic association analysis of asthma severity (426 severe vs. 531 non-severe asthma) were performed, and compared with previously published GWASs of IIPs and asthma. RESULTS Higher expression of AP2A2 and MUC5AC and lower expression of MUC5B in BEC were correlated with asthma, asthma exacerbations, and T2 biomarkers (P < 0.01). SNPs associated with asthma and IIPs in previous GWASs were eQTL SNPs for MUC5AC, MUC5B, or TOLLIP, however, they were not in strong linkage disequilibrium. The risk alleles for asthma or protective alleles for IIPs were associated with higher expression of MUC5AC and lower expression of MUC5B. rs11603634, rs12788104, and rs28415845 associated with moderate-to-severe asthma or adult onset asthma in previous GWASs were not associated with asthma severity (P > 0.8). CONCLUSIONS SNPs associated with asthma in chr11p15.5 region are not associated with asthma severity neither with IIPs. Higher expression of MUC5AC and lower expression of MUC5B are risk for asthma but protective for IIPs.
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Affiliation(s)
- Xingnan Li
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, Arizona, USA
| | - Huashi Li
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, Arizona, USA
| | - Stephanie A. Christenson
- Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of California at San Francisco, San Francisco, California, USA
| | - Mario Castro
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Kansas School of Medicine, Kansas City, Kansas, USA
| | - Loren C. Denlinger
- Department of Medicine, University of Wisconsin School of Medicine & Public Health, Madison, Wisconsin, USA
| | - Serpil C. Erzurum
- Lerner Research Institute and the Respiratory Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - John V. Fahy
- Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of California at San Francisco, San Francisco, California, USA
| | - Benjamin M. Gaston
- Wells Center for Pediatric Research and Riley Hospital for Children, Indiana University, Indianapolis, Indiana, USA
| | - Elliot Israel
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Nizar N. Jarjour
- Department of Medicine, University of Wisconsin School of Medicine & Public Health, Madison, Wisconsin, USA
| | - Bruce D. Levy
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - David T Mauger
- Department of Public Health Sciences, College of Medicine, Penn State University, Hershey, Pennsylvania, USA
| | - Wendy C. Moore
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Joe Zein
- Lerner Research Institute and the Respiratory Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Naftali Kaminski
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Sally E. Wenzel
- Department of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Prescott G. Woodruff
- Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of California at San Francisco, San Francisco, California, USA
| | - Eugene R. Bleecker
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, Arizona, USA
| | - Deborah A. Meyers
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, Arizona, USA
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Eldjarn GH, Ferkingstad E, Lund SH, Helgason H, Magnusson OT, Gunnarsdottir K, Olafsdottir TA, Halldorsson BV, Olason PI, Zink F, Gudjonsson SA, Sveinbjornsson G, Magnusson MI, Helgason A, Oddsson A, Halldorsson GH, Magnusson MK, Saevarsdottir S, Eiriksdottir T, Masson G, Stefansson H, Jonsdottir I, Holm H, Rafnar T, Melsted P, Saemundsdottir J, Norddahl GL, Thorleifsson G, Ulfarsson MO, Gudbjartsson DF, Thorsteinsdottir U, Sulem P, Stefansson K. Large-scale plasma proteomics comparisons through genetics and disease associations. Nature 2023; 622:348-358. [PMID: 37794188 PMCID: PMC10567571 DOI: 10.1038/s41586-023-06563-x] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 08/22/2023] [Indexed: 10/06/2023]
Abstract
High-throughput proteomics platforms measuring thousands of proteins in plasma combined with genomic and phenotypic information have the power to bridge the gap between the genome and diseases. Here we performed association studies of Olink Explore 3072 data generated by the UK Biobank Pharma Proteomics Project1 on plasma samples from more than 50,000 UK Biobank participants with phenotypic and genotypic data, stratifying on British or Irish, African and South Asian ancestries. We compared the results with those of a SomaScan v4 study on plasma from 36,000 Icelandic people2, for 1,514 of whom Olink data were also available. We found modest correlation between the two platforms. Although cis protein quantitative trait loci were detected for a similar absolute number of assays on the two platforms (2,101 on Olink versus 2,120 on SomaScan), the proportion of assays with such supporting evidence for assay performance was higher on the Olink platform (72% versus 43%). A considerable number of proteins had genomic associations that differed between the platforms. We provide examples where differences between platforms may influence conclusions drawn from the integration of protein levels with the study of diseases. We demonstrate how leveraging the diverse ancestries of participants in the UK Biobank helps to detect novel associations and refine genomic location. Our results show the value of the information provided by the two most commonly used high-throughput proteomics platforms and demonstrate the differences between them that at times provides useful complementarity.
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Affiliation(s)
| | | | - Sigrun H Lund
- deCODE Genetics/Amgen, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Hannes Helgason
- deCODE Genetics/Amgen, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | | | | | | | - Bjarni V Halldorsson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- School of Technology, Reykjavik University, Reykjavik, Iceland
| | | | | | | | | | | | - Agnar Helgason
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Department of Anthropology, University of Iceland, Reykjavik, Iceland
| | | | | | - Magnus K Magnusson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Saedis Saevarsdottir
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | | | | | | | - Ingileif Jonsdottir
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Hilma Holm
- deCODE Genetics/Amgen, Reykjavik, Iceland
| | | | - Pall Melsted
- deCODE Genetics/Amgen, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | | | | | | | - Magnus O Ulfarsson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland
| | - Daniel F Gudbjartsson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Unnur Thorsteinsdottir
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | | | - Kari Stefansson
- deCODE Genetics/Amgen, Reykjavik, Iceland.
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland.
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Riley-Gillis B, Tsaih SW, King E, Wollenhaupt S, Reeb J, Peck AR, Wackman K, Lemke A, Rui H, Dezso Z, Flister MJ. Machine learning reveals genetic modifiers of the immune microenvironment of cancer. iScience 2023; 26:107576. [PMID: 37664640 PMCID: PMC10470213 DOI: 10.1016/j.isci.2023.107576] [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: 01/06/2023] [Revised: 05/01/2023] [Accepted: 08/04/2023] [Indexed: 09/05/2023] Open
Abstract
Heritability in the immune tumor microenvironment (iTME) has been widely observed yet remains largely uncharacterized. Here, we developed a machine learning approach to map iTME modifiers within loci from genome-wide association studies (GWASs) for breast cancer (BrCa) incidence. A random forest model was trained on a positive set of immune-oncology (I-O) targets, and then used to assign I-O target probability scores to 1,362 candidate genes in linkage disequilibrium with 155 BrCa GWAS loci. Cluster analysis of the most probable candidates revealed two subfamilies of genes related to effector functions and adaptive immune responses, suggesting that iTME modifiers impact multiple aspects of anticancer immunity. Two of the top ranking BrCa candidates, LSP1 and TLR1, were orthogonally validated as iTME modifiers using BrCa patient biopsies and comparative mapping studies, respectively. Collectively, these data demonstrate a robust and flexible framework for functionally fine-mapping GWAS risk loci to identify translatable therapeutic targets.
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Affiliation(s)
- Bridget Riley-Gillis
- Genomics Research Center, AbbVie Inc, 1 North Waukegan Road, North Chicago, IL 60064, USA
| | - Shirng-Wern Tsaih
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Emily King
- Genomics Research Center, AbbVie Inc, 1 North Waukegan Road, North Chicago, IL 60064, USA
| | - Sabrina Wollenhaupt
- Information Research, AbbVie Deutschland GmbH & Co. KG, 67061, Knollstrasse, Ludwigshafen, Germany
| | - Jonas Reeb
- Information Research, AbbVie Deutschland GmbH & Co. KG, 67061, Knollstrasse, Ludwigshafen, Germany
| | - Amy R. Peck
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Kelsey Wackman
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Angela Lemke
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Hallgeir Rui
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Zoltan Dezso
- Genomics Research Center, AbbVie Bay Area, 1000 Gateway Boulevard, South San Francisco, CA 94080, USA
| | - Michael J. Flister
- Genomics Research Center, AbbVie Inc, 1 North Waukegan Road, North Chicago, IL 60064, USA
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
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32
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Khan A, Petukhova L. Advances Toward the Clinical Translation of Hidradenitis Suppurativa Genetic Studies. JAMA Dermatol 2023; 159:913-915. [PMID: 37494029 DOI: 10.1001/jamadermatol.2023.2205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Affiliation(s)
- Atlas Khan
- Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York
| | - Lynn Petukhova
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
- Department of Dermatology, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York
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33
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Sun Q, Broadaway KA, Edmiston SN, Fajgenbaum K, Miller-Fleming T, Westerkam LL, Melendez-Gonzalez M, Bui H, Blum FR, Levitt B, Lin L, Hao H, Harris KM, Liu Z, Thomas NE, Cox NJ, Li Y, Mohlke KL, Sayed CJ. Genetic Variants Associated With Hidradenitis Suppurativa. JAMA Dermatol 2023; 159:930-938. [PMID: 37494057 PMCID: PMC10372759 DOI: 10.1001/jamadermatol.2023.2217] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 04/25/2023] [Indexed: 07/27/2023]
Abstract
Importance Hidradenitis suppurativa (HS) is a common and severely morbid chronic inflammatory skin disease that is reported to be highly heritable. However, the genetic understanding of HS is insufficient, and limited genome-wide association studies (GWASs) have been performed for HS, which have not identified significant risk loci. Objective To identify genetic variants associated with HS and to shed light on the underlying genes and genetic mechanisms. Design, Setting, and Participants This genetic association study recruited 753 patients with HS in the HS Program for Research and Care Excellence (HS ProCARE) at the University of North Carolina Department of Dermatology from August 2018 to July 2021. A GWAS was performed for 720 patients (after quality control) with controls from the Add Health study and then meta-analyzed with 2 large biobanks, UK Biobank (247 cases) and FinnGen (673 cases). Variants at 3 loci were tested for replication in the BioVU biobank (290 cases). Data analysis was performed from September 2021 to December 2022. Main Outcomes and Measures Main outcome measures are loci identified, with association of P < 1 × 10-8 considered significant. Results A total of 753 patients were recruited, with 720 included in the analysis. Mean (SD) age at symptom onset was 20.3 (10.57) years and at enrollment was 35.3 (13.52) years; 360 (50.0%) patients were Black, and 575 (79.7%) were female. In a meta-analysis of the 4 studies, 2 HS-associated loci were identified and replicated, with lead variants rs10512572 (P = 2.3 × 10-11) and rs17090189 (P = 2.1 × 10-8) near the SOX9 and KLF5 genes, respectively. Variants at these loci are located in enhancer regulatory elements detected in skin tissue. Conclusions and Relevance In this genetic association study, common variants associated with HS located near the SOX9 and KLF5 genes were associated with risk of HS. These or other nearby genes may be associated with genetic risk of disease and the development of clinical features, such as cysts, comedones, and inflammatory tunnels, that are unique to HS. New insights into disease pathogenesis related to these genes may help predict disease progression and novel treatment approaches in the future.
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Affiliation(s)
- Quan Sun
- Department of Biostatistics, University of North Carolina at Chapel Hill
| | | | - Sharon N. Edmiston
- Department of Dermatology, University of North Carolina at Chapel Hill School of Medicine
- Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
| | - Kristen Fajgenbaum
- Department of Dermatology, University of North Carolina at Chapel Hill School of Medicine
| | - Tyne Miller-Fleming
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Linnea Lackstrom Westerkam
- Department of Dermatology, University of North Carolina at Chapel Hill School of Medicine
- University of North Carolina at Chapel Hill School of Medicine
| | | | - Helen Bui
- Department of Internal Medicine, University of North Carolina at Chapel Hill School of Medicine
| | | | - Brandt Levitt
- Carolina Population Center, University of North Carolina at Chapel Hill
| | - Lan Lin
- Department of Dermatology, University of North Carolina at Chapel Hill School of Medicine
| | - Honglin Hao
- Department of Dermatology, University of North Carolina at Chapel Hill School of Medicine
| | - Kathleen Mullan Harris
- Carolina Population Center, University of North Carolina at Chapel Hill
- Sociology Department, University of North Carolina at Chapel Hill
| | - Zhi Liu
- Department of Dermatology, University of North Carolina at Chapel Hill School of Medicine
- Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
| | - Nancy E. Thomas
- Department of Dermatology, University of North Carolina at Chapel Hill School of Medicine
- Carolina Population Center, University of North Carolina at Chapel Hill
| | - Nancy J. Cox
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Yun Li
- Department of Biostatistics, University of North Carolina at Chapel Hill
- Department of Genetics, University of North Carolina at Chapel Hill
| | - Karen L. Mohlke
- Department of Genetics, University of North Carolina at Chapel Hill
| | - Christopher J. Sayed
- Department of Dermatology, University of North Carolina at Chapel Hill School of Medicine
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34
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Guzman C, Duttke S, Zhu Y, De Arruda Saldanha C, Downes N, Benner C, Heinz S. Combining TSS-MPRA and sensitive TSS profile dissimilarity scoring to study the sequence determinants of transcription initiation. Nucleic Acids Res 2023; 51:e80. [PMID: 37403796 PMCID: PMC10450201 DOI: 10.1093/nar/gkad562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 06/13/2023] [Accepted: 06/20/2023] [Indexed: 07/06/2023] Open
Abstract
Cis-regulatory elements (CREs) can be classified by the shapes of their transcription start site (TSS) profiles, which are indicative of distinct regulatory mechanisms. Massively parallel reporter assays (MPRAs) are increasingly being used to study CRE regulatory mechanisms, yet the degree to which MPRAs replicate individual endogenous TSS profiles has not been determined. Here, we present a new low-input MPRA protocol (TSS-MPRA) that enables measuring TSS profiles of episomal reporters as well as after lentiviral reporter chromatinization. To sensitively compare MPRA and endogenous TSS profiles, we developed a novel dissimilarity scoring algorithm (WIP score) that outperforms the frequently used earth mover's distance on experimental data. Using TSS-MPRA and WIP scoring on 500 unique reporter inserts, we found that short (153 bp) MPRA promoter inserts replicate the endogenous TSS patterns of ∼60% of promoters. Lentiviral reporter chromatinization did not improve fidelity of TSS-MPRA initiation patterns, and increasing insert size frequently led to activation of extraneous TSS in the MPRA that are not active in vivo. We discuss the implications of our findings, which highlight important caveats when using MPRAs to study transcription mechanisms. Finally, we illustrate how TSS-MPRA and WIP scoring can provide novel insights into the impact of transcription factor motif mutations and genetic variants on TSS patterns and transcription levels.
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Affiliation(s)
- Carlos Guzman
- Department of Medicine, Division of Endocrinology, U.C. San Diego School of Medicine, La Jolla, CA 92093, USA
- Department of Bioengineering, Graduate Program in Bioinformatics & Systems Biology, U.C. San Diego, La Jolla, CA 92093, USA
| | - Sascha Duttke
- Department of Medicine, Division of Endocrinology, U.C. San Diego School of Medicine, La Jolla, CA 92093, USA
| | - Yixin Zhu
- Department of Medicine, Division of Endocrinology, U.C. San Diego School of Medicine, La Jolla, CA 92093, USA
| | - Camila De Arruda Saldanha
- Department of Medicine, Division of Endocrinology, U.C. San Diego School of Medicine, La Jolla, CA 92093, USA
| | - Nicholas L Downes
- Department of Medicine, Division of Endocrinology, U.C. San Diego School of Medicine, La Jolla, CA 92093, USA
| | - Christopher Benner
- Department of Medicine, Division of Endocrinology, U.C. San Diego School of Medicine, La Jolla, CA 92093, USA
| | - Sven Heinz
- Department of Medicine, Division of Endocrinology, U.C. San Diego School of Medicine, La Jolla, CA 92093, USA
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35
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Bao C, Gu L, Wang S, Zou K, Zhang Z, Jiang L, Chen L, Fang H. Priority index for asthma (PIA): In silico discovery of shared and distinct drug targets for adult- and childhood-onset disease. Comput Biol Med 2023; 162:107095. [PMID: 37285660 DOI: 10.1016/j.compbiomed.2023.107095] [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: 01/30/2023] [Revised: 04/30/2023] [Accepted: 05/27/2023] [Indexed: 06/09/2023]
Abstract
Asthma is a chronic disease that is caused by a combination of genetic risks and environmental triggers and can affect both adults and children. Genome-wide association studies have revealed partly distinct genetic architectures for its two age-of-onset subtypes (namely, adult-onset and childhood-onset). We reason that identifying shared and distinct drug targets between these subtypes may inform the development of subtype-specific therapeutic strategies. In attempting this, we here introduce Priority Index for Asthma or PIA, a genetics-led and network-driven drug target prioritisation tool for asthma. We demonstrate the validity of the tool in improving drug target prioritisation for asthma compared to the status quo methods, as well as in capturing the underlying etiology and existing therapeutics for the disease. We also illustrate how PIA can be used to prioritise drug targets for adult- and childhood-onset asthma, as well as to identify shared and distinct pathway crosstalk genes. Shared crosstalk genes are mostly involved in JAK-STAT signaling, with clinical evidence supporting that targeting this pathway may be a promising drug repurposing opportunity for both subtypes. Crosstalk genes specific to childhood-onset asthma are enriched for PI3K-AKT-mTOR signaling, and we identify genes that are already targeted by licensed medications as repurposed drug candidates for this subtype. We make all our results accessible and reproducible at http://www.genetictargets.com/PIA. Collectively, our study has significant implications for asthma computational medicine research and can guide the future development of subtype-specific therapeutic strategies for the disease.
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Affiliation(s)
- Chaohui Bao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Leyao Gu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Faculty of Medical Laboratory Science, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shan Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kexin Zou
- School of Life Sciences, Central South University, Hunan, China
| | - Zhiqiang Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Lulu Jiang
- Translational Health Sciences, University of Bristol, Bristol, UK
| | - Liye Chen
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Hai Fang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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36
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Iannuzo N, Dy ABC, Guerra S, Langlais PR, Ledford JG. The Impact of CC16 on Pulmonary Epithelial-Driven Host Responses during Mycoplasma pneumoniae Infection in Mouse Tracheal Epithelial Cells. Cells 2023; 12:1984. [PMID: 37566063 PMCID: PMC10416898 DOI: 10.3390/cells12151984] [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: 05/31/2023] [Revised: 07/27/2023] [Accepted: 07/31/2023] [Indexed: 08/12/2023] Open
Abstract
Club Cell Secretory Protein (CC16) plays many protective roles within the lung; however, the complete biological functions, especially regarding the pulmonary epithelium during infection, remain undefined. We have previously shown that CC16-deficient (CC16-/-) mouse tracheal epithelial cells (MTECs) have enhanced Mp burden compared to CC16-sufficient (WT) MTECs; therefore, in this study, we wanted to further define how the pulmonary epithelium responds to infection in the context of CC16 deficiency. Using mass spectrometry and quantitative proteomics to analyze proteins secreted apically from MTECs grown at an air-liquid interface, we investigated the protective effects that CC16 elicits within the pulmonary epithelium during Mycoplasma pneumoniae (Mp) infection. When challenged with Mp, WT MTECs have an overall reduction in apical protein secretion, whereas CC16-/- MTECs have increased apical protein secretion compared to their unchallenged controls. Following Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) assessment, many of the proteins upregulated from CC16-/- MTECS (unchallenged and during Mp infection) were related to airway remodeling, which were not observed by WT MTECs. These findings suggest that CC16 may be important in providing protection within the pulmonary epithelium during respiratory infection with Mp, which is the major causative agent of community-acquired pneumoniae.
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Affiliation(s)
- Natalie Iannuzo
- Department of Cellular and Molecular Medicine, University of Arizona, Tucson, AZ 85724, USA;
| | | | - Stefano Guerra
- Asthma and Airway Disease Research Center, Tucson, AZ 85724, USA
| | - Paul R. Langlais
- Department of Medicine, Division of Endocrinology, University of Arizona, Tucson, AZ 85724, USA
| | - Julie G. Ledford
- Department of Cellular and Molecular Medicine, University of Arizona, Tucson, AZ 85724, USA;
- Asthma and Airway Disease Research Center, Tucson, AZ 85724, USA
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37
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Saklatvala JR, Hanscombe KB, Mahil SK, Tsoi LC, Elder JT, Barker JN, Simpson MA, Smith CH, Dand N. Genetic Validation of Psoriasis Phenotyping in UK Biobank Supports the Utility of Self-Reported Data and Composite Definitions for Large Genetic and Epidemiological Studies. J Invest Dermatol 2023; 143:1598-1601.e10. [PMID: 36870556 PMCID: PMC10689249 DOI: 10.1016/j.jid.2023.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 02/02/2023] [Accepted: 02/05/2023] [Indexed: 03/06/2023]
Affiliation(s)
- Jake R Saklatvala
- Department of Medical and Molecular Genetics, King's College London, London, United Kingdom
| | - Ken B Hanscombe
- Department of Medical and Molecular Genetics, King's College London, London, United Kingdom; Social, Genetic and Developmental Psychiatry Centre, King's College London, London, United Kingdom
| | - Satveer K Mahil
- St John's Institute of Dermatology, Guy's and St Thomas' NHS Foundation Trust, King's College London, London, United Kingdom
| | - Lam C Tsoi
- Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA; Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, USA; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - James T Elder
- Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA; Ann Arbor Veterans Affairs Hospital, Ann Arbor, Michigan, USA
| | - Jonathan N Barker
- St John's Institute of Dermatology, Guy's and St Thomas' NHS Foundation Trust, King's College London, London, United Kingdom
| | - Michael A Simpson
- Department of Medical and Molecular Genetics, King's College London, London, United Kingdom
| | - Catherine H Smith
- St John's Institute of Dermatology, Guy's and St Thomas' NHS Foundation Trust, King's College London, London, United Kingdom
| | - Nick Dand
- Department of Medical and Molecular Genetics, King's College London, London, United Kingdom.
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38
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Chang Q, Zhu Y, Zhou G, Liang H, Li D, Cheng J, Pan P, Zhang Y. Vitamin D status, sleep patterns, genetic susceptibility, and the risk of incident adult-onset asthma: a large prospective cohort study. Front Nutr 2023; 10:1222499. [PMID: 37457981 PMCID: PMC10349527 DOI: 10.3389/fnut.2023.1222499] [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: 05/14/2023] [Accepted: 06/09/2023] [Indexed: 07/18/2023] Open
Abstract
Introduction Vitamin D has been known to be associated with asthma, particularly in children, while the evidence among adults is limited and inconclusive. This study aimed to investigate the association between serum, vitamin D concentrations, and the incidence of adult-onset asthma and also the modified effect caused by sleep patterns and genetic risks. Methods A prospective cohort study with 307,872 participants aged between 37 and 73 years was conducted based on the UK Biobank, with a median follow-up of 12 years. The Cox proportional hazard model was applied to evaluate the association between vitamin D status and incident adult-onset asthma, and the modified effect was investigated by conducting stratified analysis according to sleep pattern score and genetic risk score, and subgroup analyses were performed by sex, age, BMI, and smoking status as well. Results Individuals with optimal vitamin D concentration were associated with 11.1% reduced risk of incident asthma compared to those participants with deficient vitamin D (HR = 0.889; 95% CI: 0.820-0.964; p = 0.005). Moreover, stratification analysis demonstrated that the protective effect of vitamin D on asthma risk was modified by sleep patterns or genetic susceptibility, with the strongest protective effect being observed in the subpopulation with a moderate sleep pattern (HR = 0.883; 95% CI: 0.797-0.977; p = 0.016) and a moderate genetic risk (HR = 0.817; 95% CI: 0.711-0.938; p = 0.004). In subgroup analyses, the protective effect of optimal vitamin D levels was only significant among men, individuals younger than 60 years of age, overweight individuals, and current or previous smokers. Conclusion Increased serum vitamin D levels were associated with a lower risk of incident adult-onset asthma, and this association was modified by sleep patterns and genetic predisposition to some extent.
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Affiliation(s)
- Qinyu Chang
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China
| | - Yiqun Zhu
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China
| | - Guowei Zhou
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Huaying Liang
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China
| | - Dianwu Li
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China
| | - Jun Cheng
- Department of Spine Surgery, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Pinhua Pan
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yan Zhang
- Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
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39
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Resztak JA, Wei J, Zilioli S, Sendler E, Alazizi A, Mair-Meijers HE, Wu P, Wen X, Slatcher RB, Zhou X, Luca F, Pique-Regi R. Genetic control of the dynamic transcriptional response to immune stimuli and glucocorticoids at single-cell resolution. Genome Res 2023; 33:839-856. [PMID: 37442575 PMCID: PMC10519413 DOI: 10.1101/gr.276765.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 06/08/2023] [Indexed: 07/15/2023]
Abstract
Synthetic glucocorticoids, such as dexamethasone, have been used as a treatment for many immune conditions, such as asthma and, more recently, severe COVID-19. Single-cell data can capture more fine-grained details on transcriptional variability and dynamics to gain a better understanding of the molecular underpinnings of inter-individual variation in drug response. Here, we used single-cell RNA-seq to study the dynamics of the transcriptional response to glucocorticoids in activated peripheral blood mononuclear cells from 96 African American children. We used novel statistical approaches to calculate a mean-independent measure of gene expression variability and a measure of transcriptional response pseudotime. Using these approaches, we showed that glucocorticoids reverse the effects of immune stimulation on both gene expression mean and variability. Our novel measure of gene expression response dynamics, based on the diagonal linear discriminant analysis, separated individual cells by response status on the basis of their transcriptional profiles and allowed us to identify different dynamic patterns of gene expression along the response pseudotime. We identified genetic variants regulating gene expression mean and variability, including treatment-specific effects, and showed widespread genetic regulation of the transcriptional dynamics of the gene expression response.
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Affiliation(s)
- Justyna A Resztak
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan 48201, USA
| | - Julong Wei
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan 48201, USA
| | - Samuele Zilioli
- Department of Psychology, Wayne State University, Detroit, Michigan 48201, USA
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, Michigan 48201, USA
| | - Edward Sendler
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan 48201, USA
| | - Adnan Alazizi
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan 48201, USA
| | - Henriette E Mair-Meijers
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan 48201, USA
| | - Peijun Wu
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Xiaoquan Wen
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Richard B Slatcher
- Department of Psychology, University of Georgia, Athens, Georgia 30602, USA
| | - Xiang Zhou
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Francesca Luca
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan 48201, USA;
- Department of Obstetrics and Gynecology, Wayne State University, Detroit, Michigan 48201, USA
- Department of Biology, University of Rome "Tor Vergata," 00133 Rome, Italy
| | - Roger Pique-Regi
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan 48201, USA;
- Department of Obstetrics and Gynecology, Wayne State University, Detroit, Michigan 48201, USA
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40
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Sikkema L, Ramírez-Suástegui C, Strobl DC, Gillett TE, Zappia L, Madissoon E, Markov NS, Zaragosi LE, Ji Y, Ansari M, Arguel MJ, Apperloo L, Banchero M, Bécavin C, Berg M, Chichelnitskiy E, Chung MI, Collin A, Gay ACA, Gote-Schniering J, Hooshiar Kashani B, Inecik K, Jain M, Kapellos TS, Kole TM, Leroy S, Mayr CH, Oliver AJ, von Papen M, Peter L, Taylor CJ, Walzthoeni T, Xu C, Bui LT, De Donno C, Dony L, Faiz A, Guo M, Gutierrez AJ, Heumos L, Huang N, Ibarra IL, Jackson ND, Kadur Lakshminarasimha Murthy P, Lotfollahi M, Tabib T, Talavera-López C, Travaglini KJ, Wilbrey-Clark A, Worlock KB, Yoshida M, van den Berge M, Bossé Y, Desai TJ, Eickelberg O, Kaminski N, Krasnow MA, Lafyatis R, Nikolic MZ, Powell JE, Rajagopal J, Rojas M, Rozenblatt-Rosen O, Seibold MA, Sheppard D, Shepherd DP, Sin DD, Timens W, Tsankov AM, Whitsett J, Xu Y, Banovich NE, Barbry P, Duong TE, Falk CS, Meyer KB, Kropski JA, Pe'er D, Schiller HB, Tata PR, Schultze JL, Teichmann SA, Misharin AV, Nawijn MC, Luecken MD, Theis FJ. An integrated cell atlas of the lung in health and disease. Nat Med 2023; 29:1563-1577. [PMID: 37291214 PMCID: PMC10287567 DOI: 10.1038/s41591-023-02327-2] [Citation(s) in RCA: 89] [Impact Index Per Article: 89.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 03/30/2023] [Indexed: 06/10/2023]
Abstract
Single-cell technologies have transformed our understanding of human tissues. Yet, studies typically capture only a limited number of donors and disagree on cell type definitions. Integrating many single-cell datasets can address these limitations of individual studies and capture the variability present in the population. Here we present the integrated Human Lung Cell Atlas (HLCA), combining 49 datasets of the human respiratory system into a single atlas spanning over 2.4 million cells from 486 individuals. The HLCA presents a consensus cell type re-annotation with matching marker genes, including annotations of rare and previously undescribed cell types. Leveraging the number and diversity of individuals in the HLCA, we identify gene modules that are associated with demographic covariates such as age, sex and body mass index, as well as gene modules changing expression along the proximal-to-distal axis of the bronchial tree. Mapping new data to the HLCA enables rapid data annotation and interpretation. Using the HLCA as a reference for the study of disease, we identify shared cell states across multiple lung diseases, including SPP1+ profibrotic monocyte-derived macrophages in COVID-19, pulmonary fibrosis and lung carcinoma. Overall, the HLCA serves as an example for the development and use of large-scale, cross-dataset organ atlases within the Human Cell Atlas.
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Grants
- R01 HL153375 NHLBI NIH HHS
- R01 HL127349 NHLBI NIH HHS
- U54 HL165443 NHLBI NIH HHS
- P01 HL107202 NHLBI NIH HHS
- U01 HL148856 NHLBI NIH HHS
- R21 HL156124 NHLBI NIH HHS
- U54 AG075931 NIA NIH HHS
- Wellcome Trust
- R01 HL146557 NHLBI NIH HHS
- R01 HL123766 NHLBI NIH HHS
- U01 HL148861 NHLBI NIH HHS
- R01 HL141852 NHLBI NIH HHS
- R01 ES034350 NIEHS NIH HHS
- UL1 TR001863 NCATS NIH HHS
- R01 HL126176 NHLBI NIH HHS
- R21 HL161760 NHLBI NIH HHS
- R01 HL145372 NHLBI NIH HHS
- P01 AG049665 NIA NIH HHS
- K12 HD105271 NICHD NIH HHS
- U19 AI135964 NIAID NIH HHS
- P30 CA008748 NCI NIH HHS
- R01 HL142568 NHLBI NIH HHS
- R01 HL153312 NHLBI NIH HHS
- U54 AG079754 NIA NIH HHS
- R56 HL157632 NHLBI NIH HHS
- R01 HL158139 NHLBI NIH HHS
- R01 HL135156 NHLBI NIH HHS
- R01 HL153045 NHLBI NIH HHS
- U54 HL145608 NHLBI NIH HHS
- P50 AR060780 NIAMS NIH HHS
- R01 HL128439 NHLBI NIH HHS
- R01 HL146519 NHLBI NIH HHS
- R01 HL117004 NHLBI NIH HHS
- R01 HL068702 NHLBI NIH HHS
- U01 HL145567 NHLBI NIH HHS
- P01 HL132821 NHLBI NIH HHS
- MR/R015635/1 Medical Research Council
- R01 MD010443 NIMHD NIH HHS
- Chan Zuckerberg Initiative, LLC Seed Network grant (CZF2019-002438) “Lung Cell Atlas 1.0” NIH 1U54HL145608-01 CZIF2022-007488 from the Chan Zuckerberg Initiative Foundation CZIF2022-007488 from the Chan Zuckerberg Initiative Foundation
- ESPOD fellowship of EMBL-EBI and Sanger Institute
- 3IA Cote d’Azur PhD program
- The Ministry of Economic Affairs and Climate Policy by means of the PPP
- EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
- Joachim Herz Stiftung (Joachim Herz Foundation)
- P50 AR060780-06A1
- University College London, Birkbeck MRC Doctoral Training Programme
- Jikei University School of Medicine (Jikei University)
- 5R01HL14254903, 4UH3CA25513503
- R01HL127349, R01HL141852, U01HL145567 and CZI
- MRC Clinician Scientist Fellowship (MR/W00111X/1)
- Chan Zuckerberg Initiative, LLC Seed Network grant (CZF2019-002438) “Lung Cell Atlas 1.0” 2R01HL068702
- R01 HL135156, R01 MD010443, R01 HL128439, P01 HL132821, P01 HL107202, R01 HL117004, and DOD Grant W81WH-16-2-0018
- HL142568 and HL14507 from the NHLBI
- Chan Zuckerberg Initiative, LLC Seed Network grant (CZF2019-002438) “Lung Cell Atlas 1.0”, 2R01HL068702
- Wellcome (WT211276/Z/18/Z) Sanger core grant WT206194 CZIF2022-007488 from the Chan Zuckerberg Initiative Foundation
- R21HL156124, R56HL157632, and R21HL161760
- CZI, 5U01HL148856
- CZI, 5U01HL148856, R01 HL153045
- U.S. Department of Defense (United States Department of Defense)
- The National Institute of Health R01HL145372
- Fondation pour la Recherche Médicale (Foundation for Medical Research in France)
- Conseil Départemental des Alpes Maritimes
- Inserm Cross-cutting Scientific Program HuDeCA 2018, ANR SAHARRA (ANR-19-CE14–0027), ANR-19-P3IA-0002–3IA, the National Infrastructure France Génomique (ANR-10-INBS-09-03), PPIA 4D-OMICS (21-ESRE-0052), and the Chan Zuckerberg Initiative, LLC Seed Network grant (CZF2019-002438) “Lung Cell Atlas 1.0”.
- Wellcome Trust (Wellcome)
- Sanger core grant WT206194 Chan Zuckerberg Initiative, LLC Seed Network grant (CZF2019-002438) “Lung Cell Atlas 1.0” CZIF2022-007488 from the Chan Zuckerberg Initiative Foundation
- Doris Duke Charitable Foundation (DDCF)
- The National Institute of Health R01HL145372 Department of Defense W81XWH-19-1-0416
- The National Institute of Health R01HL146557 and R01HL153375 and funds from Chan Zuckerberg Initiative - Human Lung Cell Atlas-pilot award
- 1U54HL145608-01
- CZI Deep Visual Proteomics
- 1U54HL145608-01, U01HL148861-03
- 1) the Chan Zuckerberg Initiative, LLC Seed Network grant CZF2019-002438 “Lung Cell Atlas 1.0”; 2) R01 HL153312; 3) U19 AI135964; 4) P01 AG049665
- Netherlands Lung Foundation project nos. 5.1.14.020 and 4.1.18.226, LLC Seed Network grant CZF2019-002438 “Lung Cell Atlas 1.0”
- grant number 2019-002438 from the Chan Zuckerberg Foundation, by the Helmholtz Association’s Initiative and Networking Fund through Helmholtz AI [ZT-I-PF-5-01] and by the Bavarian Ministry of Science and the Arts in the framework of the Bavarian Research Association “ForInter” (Interaction of human brain cells)
- 1 U01 HL14555-01, R01 HL123766-04
- NIH U54 AG075931, 5R01 HL146519
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Affiliation(s)
- Lisa Sikkema
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- TUM School of Life Sciences, Technical University of Munich, Munich, Germany
| | - Ciro Ramírez-Suástegui
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA
| | - Daniel C Strobl
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- Institute of Clinical Chemistry and Pathobiochemistry, TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Tessa E Gillett
- Experimental Pulmonary and Inflammatory Research, Department of Pathology and Medical Biology, University Medical Centre Groningen, University of Groningen, Groningen, the Netherlands
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Luke Zappia
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- Department of Mathematics, Technical University of Munich, Garching, Germany
| | | | - Nikolay S Markov
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Laure-Emmanuelle Zaragosi
- Institut de Pharmacologie Moléculaire et Cellulaire, Université Côte d'Azur and Centre National de la Recherche Scientifique, Valbonne, France
| | - Yuge Ji
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- TUM School of Life Sciences, Technical University of Munich, Munich, Germany
| | - Meshal Ansari
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- Institute of Lung Health and Immunity (a member of the German Center for Lung Research) and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Munich, Germany
| | - Marie-Jeanne Arguel
- Institut de Pharmacologie Moléculaire et Cellulaire, Université Côte d'Azur and Centre National de la Recherche Scientifique, Valbonne, France
| | - Leonie Apperloo
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Martin Banchero
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Christophe Bécavin
- Institut de Pharmacologie Moléculaire et Cellulaire, Université Côte d'Azur and Centre National de la Recherche Scientifique, Valbonne, France
| | - Marijn Berg
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | | | - Mei-I Chung
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Antoine Collin
- Institut de Pharmacologie Moléculaire et Cellulaire, Université Côte d'Azur and Centre National de la Recherche Scientifique, Valbonne, France
- 3IA Côte d'Azur, Nice, France
| | - Aurore C A Gay
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Janine Gote-Schniering
- Institute of Lung Health and Immunity (a member of the German Center for Lung Research) and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Munich, Germany
| | - Baharak Hooshiar Kashani
- Institute of Lung Health and Immunity (a member of the German Center for Lung Research) and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Munich, Germany
| | - Kemal Inecik
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- TUM School of Life Sciences, Technical University of Munich, Munich, Germany
| | - Manu Jain
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Theodore S Kapellos
- Institute of Lung Health and Immunity (a member of the German Center for Lung Research) and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Munich, Germany
- Department of Genomics and Immunoregulation, Life and Medical Sciences Institute, University of Bonn, Bonn, Germany
| | - Tessa M Kole
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Sylvie Leroy
- Pulmonology Department, Fédération Hospitalo-Universitaire OncoAge, Centre Hospitalier Universitaire de Nice, Université Côte d'Azur, Nice, France
| | - Christoph H Mayr
- Institute of Lung Health and Immunity (a member of the German Center for Lung Research) and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Munich, Germany
| | | | | | - Lance Peter
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Chase J Taylor
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Chuan Xu
- Wellcome Sanger Institute, Hinxton, Cambridge, UK
| | - Linh T Bui
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Carlo De Donno
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
| | - Leander Dony
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- TUM School of Life Sciences, Technical University of Munich, Munich, Germany
- Department of Translational Psychiatry, Max Planck Institute of Psychiatry and International Max Planck Research School for Translational Psychiatry, Munich, Germany
| | - Alen Faiz
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- School of Life Sciences, Respiratory Bioinformatics and Molecular Biology, University of Technology Sydney, Sydney, Australia
| | - Minzhe Guo
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, US
| | | | - Lukas Heumos
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- TUM School of Life Sciences, Technical University of Munich, Munich, Germany
- Institute of Lung Health and Immunity (a member of the German Center for Lung Research) and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Munich, Germany
| | - Ni Huang
- Wellcome Sanger Institute, Hinxton, Cambridge, UK
| | - Ignacio L Ibarra
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
| | - Nathan D Jackson
- Center for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA
| | - Preetish Kadur Lakshminarasimha Murthy
- Department of Cell Biology, Duke University School of Medicine, Durham, NC, USA
- Department of Pharmacology and Regenerative Medicine, University of Illinois Chicago, Chicago, IL, USA
| | - Mohammad Lotfollahi
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- Wellcome Sanger Institute, Hinxton, Cambridge, UK
| | - Tracy Tabib
- Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Carlos Talavera-López
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany
- Division of Infectious Diseases and Tropical Medicine, Klinikum der Lüdwig-Maximilians-Universität, Munich, Germany
| | - Kyle J Travaglini
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Kaylee B Worlock
- Department of Respiratory Medicine, Division of Medicine, University College London, London, UK
| | - Masahiro Yoshida
- Department of Respiratory Medicine, Division of Medicine, University College London, London, UK
| | - Maarten van den Berge
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Yohan Bossé
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Department of Molecular Medicine, Laval University, Quebec City, Quebec, Canada
| | - Tushar J Desai
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Oliver Eickelberg
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Naftali Kaminski
- Pulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Mark A Krasnow
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Robert Lafyatis
- Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Marko Z Nikolic
- Department of Respiratory Medicine, Division of Medicine, University College London, London, UK
| | - Joseph E Powell
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Cellular Genomics Futures Institute, University of New South Wales, Sydney, New South Wales, Australia
| | - Jayaraj Rajagopal
- Center for Regenerative Medicine, Massachusetts General Hospital, Harvard Medical School, Cambridge, MA, USA
| | - Mauricio Rojas
- Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University, Columbus, OH, USA
| | - Orit Rozenblatt-Rosen
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cellular and Tissue Genomics, Genentech, South San Francisco, CA, USA
| | - Max A Seibold
- Center for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA
- Department of Pediatrics, National Jewish Health, Denver, CO, USA
- Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Dean Sheppard
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Douglas P Shepherd
- Department of Physics and Center for Biological Physics, Arizona State University, Tempe, AZ, USA
| | - Don D Sin
- Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Wim Timens
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Alexander M Tsankov
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jeffrey Whitsett
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Yan Xu
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | | | - Pascal Barbry
- Institut de Pharmacologie Moléculaire et Cellulaire, Université Côte d'Azur and Centre National de la Recherche Scientifique, Valbonne, France
- 3IA Côte d'Azur, Nice, France
| | - Thu Elizabeth Duong
- Department of Pediatrics, Division of Respiratory Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Christine S Falk
- Institute for Transplant Immunology, Hannover Medical School, Hannover, Germany
| | | | - Jonathan A Kropski
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN, USA
| | - Dana Pe'er
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Herbert B Schiller
- Institute of Lung Health and Immunity (a member of the German Center for Lung Research) and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Munich, Germany
| | | | - Joachim L Schultze
- Department of Genomics and Immunoregulation, Life and Medical Sciences Institute, University of Bonn, Bonn, Germany
- PRECISE Platform for Single Cell Genomics and Epigenomics, Deutsches Zentrum für Neurodegenerative Erkrankungen and University of Bonn, Bonn, Germany
| | - Sara A Teichmann
- Wellcome Sanger Institute, Hinxton, Cambridge, UK
- Department of Physics, Cavendish Laboratory, University of Cambridge, Cambridge, UK
| | - Alexander V Misharin
- Division of Pulmonary and Critical Care Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Martijn C Nawijn
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Malte D Luecken
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany.
- Institute of Lung Health and Immunity (a member of the German Center for Lung Research) and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Center Munich, Munich, Germany.
| | - Fabian J Theis
- Department of Computational Health, Institute of Computational Biology, Helmholtz Center Munich, Munich, Germany.
- TUM School of Life Sciences, Technical University of Munich, Munich, Germany.
- Department of Mathematics, Technical University of Munich, Garching, Germany.
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41
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Yin Q, Yang Q, Shi W, Kahlert UD, Li Z, Lin S, Song Q, Fan W, Wang L, Zhu Y, Huang X. Mendelian Randomization Analyses of Chronic Immune-Mediated Diseases, Circulating Inflammatory Biomarkers, and Cytokines in Relation to Liver Cancer. Cancers (Basel) 2023; 15:cancers15112930. [PMID: 37296892 DOI: 10.3390/cancers15112930] [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: 05/05/2023] [Revised: 05/18/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023] Open
Abstract
Liver cancer is closely linked to chronic inflammation. While observational studies have reported positive associations between extrahepatic immune-mediated diseases and systemic inflammatory biomarkers and liver cancer, the genetic association between these inflammatory traits and liver cancer remains elusive and merits further investigation. We conducted a two-sample Mendelian randomization (MR) analysis, using inflammatory traits as exposures and liver cancer as the outcome. The genetic summary data of both exposures and outcome were retrieved from previous genome-wide association studies (GWAS). Four MR methods, including inverse-variance-weighted (IVW), MR-Egger regression, weighted-median, and weighted-mode methods, were employed to examine the genetic association between inflammatory traits and liver cancer. Nine extrahepatic immune-mediated diseases, seven circulating inflammatory biomarkers, and 187 inflammatory cytokines were analyzed in this study. The IVW method suggested that none of the nine immune-mediated diseases were associated with the risk of liver cancer, with odds ratios of 1.08 (95% CI 0.87-1.35) for asthma, 0.98 (95% CI 0.91-1.06) for rheumatoid arthritis, 1.01 (95% CI 0.96-1.07) for type 1 diabetes, 1.01 (95% CI 0.98-1.03) for psoriasis, 0.98 (95% CI 0.89-1.08) for Crohn's disease, 1.02 (95% CI 0.91-1.13) for ulcerative colitis, 0.91 (95% CI 0.74-1.11) for celiac disease, 0.93 (95% CI 0.84-1.05) for multiple sclerosis, and 1.05 (95% CI 0.97-1.13) for systemic lupus erythematosus. Similarly, no significant association was found between circulating inflammatory biomarkers and cytokines and liver cancer after correcting for multiple testing. The findings were consistent across all four MR methods used in this study. Our findings do not support a genetic association between extrahepatic inflammatory traits and liver cancer. However, larger-scale GWAS summary data and more genetic instruments are needed to confirm these findings.
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Affiliation(s)
- Qiushi Yin
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou 570100, China
| | - Qiuxi Yang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou 570100, China
| | - Wenjie Shi
- Molecular and Experimental Surgery, University Clinic for General-, Visceral-, Vascular- and Trans-Plantation Surgery, Medical Faculty University Hospital Magdeburg, Otto-von Guericke University, 39120 Magdeburg, Germany
| | - Ulf D Kahlert
- Molecular and Experimental Surgery, University Clinic for General-, Visceral-, Vascular- and Trans-Plantation Surgery, Medical Faculty University Hospital Magdeburg, Otto-von Guericke University, 39120 Magdeburg, Germany
| | - Zhongyi Li
- Department of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University Munich, 80539 Munich, Germany
| | - Shibu Lin
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou 570100, China
| | - Qifeng Song
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou 570100, China
| | - Weiqiang Fan
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou 570100, China
| | - Li Wang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou 570100, China
| | - Yi Zhu
- Department of Gastroenterological Surgery, The Affiliated Hospital of Jiaxing University, Jiaxing 314001, China
| | - Xiaolong Huang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou 570100, China
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42
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Demela P, Pirastu N, Soskic B. Cross-disorder genetic analysis of immune diseases reveals distinct gene associations that converge on common pathways. Nat Commun 2023; 14:2743. [PMID: 37173304 PMCID: PMC10182075 DOI: 10.1038/s41467-023-38389-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 04/28/2023] [Indexed: 05/15/2023] Open
Abstract
Genome-wide association studies (GWAS) have mapped thousands of susceptibility loci associated with immune-mediated diseases. To assess the extent of the genetic sharing across nine immune-mediated diseases we apply genomic structural equation modelling to GWAS data from European populations. We identify three disease groups: gastrointestinal tract diseases, rheumatic and systemic diseases, and allergic diseases. Although loci associated with the disease groups are highly specific, they converge on perturbing the same pathways. Finally, we test for colocalization between loci and single-cell eQTLs derived from peripheral blood mononuclear cells. We identify the causal route by which 46 loci predispose to three disease groups and find evidence for eight genes being candidates for drug repurposing. Taken together, here we show that different constellations of diseases have distinct patterns of genetic associations, but that associated loci converge on perturbing different nodes in T cell activation and signalling pathways.
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Affiliation(s)
- Pietro Demela
- Human Technopole, Viale Rita Levi-Montalcini 1, 20157, Milan, Italy
| | - Nicola Pirastu
- Human Technopole, Viale Rita Levi-Montalcini 1, 20157, Milan, Italy
| | - Blagoje Soskic
- Human Technopole, Viale Rita Levi-Montalcini 1, 20157, Milan, Italy.
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43
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Sharma M, Leung D, Momenilandi M, Jones LC, Pacillo L, James AE, Murrell JR, Delafontaine S, Maimaris J, Vaseghi-Shanjani M, Del Bel KL, Lu HY, Chua GT, Di Cesare S, Fornes O, Liu Z, Di Matteo G, Fu MP, Amodio D, Tam IYS, Chan GSW, Sharma AA, Dalmann J, van der Lee R, Blanchard-Rohner G, Lin S, Philippot Q, Richmond PA, Lee JJ, Matthews A, Seear M, Turvey AK, Philips RL, Brown-Whitehorn TF, Gray CJ, Izumi K, Treat JR, Wood KH, Lack J, Khleborodova A, Niemela JE, Yang X, Liang R, Kui L, Wong CSM, Poon GWK, Hoischen A, van der Made CI, Yang J, Chan KW, Rosa Duque JSD, Lee PPW, Ho MHK, Chung BHY, Le HTM, Yang W, Rohani P, Fouladvand A, Rokni-Zadeh H, Changi-Ashtiani M, Miryounesi M, Puel A, Shahrooei M, Finocchi A, Rossi P, Rivalta B, Cifaldi C, Novelli A, Passarelli C, Arasi S, Bullens D, Sauer K, Claeys T, Biggs CM, Morris EC, Rosenzweig SD, O’Shea JJ, Wasserman WW, Bedford HM, van Karnebeek CD, Palma P, Burns SO, Meyts I, Casanova JL, Lyons JJ, Parvaneh N, Nguyen ATV, Cancrini C, Heimall J, Ahmed H, McKinnon ML, Lau YL, Béziat V, Turvey SE. Human germline heterozygous gain-of-function STAT6 variants cause severe allergic disease. J Exp Med 2023; 220:e20221755. [PMID: 36884218 PMCID: PMC10037107 DOI: 10.1084/jem.20221755] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 12/12/2022] [Accepted: 02/09/2023] [Indexed: 03/09/2023] Open
Abstract
STAT6 (signal transducer and activator of transcription 6) is a transcription factor that plays a central role in the pathophysiology of allergic inflammation. We have identified 16 patients from 10 families spanning three continents with a profound phenotype of early-life onset allergic immune dysregulation, widespread treatment-resistant atopic dermatitis, hypereosinophilia with esosinophilic gastrointestinal disease, asthma, elevated serum IgE, IgE-mediated food allergies, and anaphylaxis. The cases were either sporadic (seven kindreds) or followed an autosomal dominant inheritance pattern (three kindreds). All patients carried monoallelic rare variants in STAT6 and functional studies established their gain-of-function (GOF) phenotype with sustained STAT6 phosphorylation, increased STAT6 target gene expression, and TH2 skewing. Precision treatment with the anti-IL-4Rα antibody, dupilumab, was highly effective improving both clinical manifestations and immunological biomarkers. This study identifies heterozygous GOF variants in STAT6 as a novel autosomal dominant allergic disorder. We anticipate that our discovery of multiple kindreds with germline STAT6 GOF variants will facilitate the recognition of more affected individuals and the full definition of this new primary atopic disorder.
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Affiliation(s)
- Mehul Sharma
- Dept. of Pediatrics, BC Children’s Hospital, University of British Columbia, Vancouver, Canada
| | - Daniel Leung
- Dept. of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
| | - Mana Momenilandi
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
| | - Lauren C.W. Jones
- Dept. of Pediatrics, BC Children’s Hospital, University of British Columbia, Vancouver, Canada
| | - Lucia Pacillo
- Dept. of System Medicine, Pediatric Chair, University of Tor Vergata, Rome, Italy
- Academic Dept. of Pediatrics (DPUO), Unit of Clinical Immunology and Vaccinology, IRCCS Bambin Gesù Children Hospital, Rome, Italy
- Research Unit of Primary Immunodeficiency, IRCCS Bambin Gesù Children Hospital, Rome, Italy
| | - Alyssa E. James
- Translational Allergic Immunopathology Unit, Laboratory of Allergic Diseases, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Jill R. Murrell
- Pathology and Laboratory Medicine, Division of Genomic Diagnostics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Selket Delafontaine
- Dept. of Microbiology, Immunology and Transplantation, Laboratory for Inborn Errors of Immunity, KU Leuven, Leuven, Belgium
- Dept. of Pediatrics, Pediatric Immunodeficiencies Division, University Hospitals Leuven, Leuven, Belgium
| | - Jesmeen Maimaris
- Institute of Immunity and Transplantation, Division of Infection and Immunity, University College London, London, UK
- Dept. of Immunology, Royal Free London NHS Foundation Trust, London, UK
| | - Maryam Vaseghi-Shanjani
- Dept. of Pediatrics, BC Children’s Hospital, University of British Columbia, Vancouver, Canada
| | - Kate L. Del Bel
- Dept. of Pediatrics, BC Children’s Hospital, University of British Columbia, Vancouver, Canada
| | - Henry Y. Lu
- Division of Hematology/Oncology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
- Dept. of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Gilbert T. Chua
- Dept. of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
- Allergy Centre, Union Hospital, Hong Kong, China
| | - Silvia Di Cesare
- Dept. of System Medicine, Pediatric Chair, University of Tor Vergata, Rome, Italy
- Research Unit of Primary Immunodeficiency, IRCCS Bambin Gesù Children Hospital, Rome, Italy
| | - Oriol Fornes
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Vancouver, Canada
- Dept. of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Zhongyi Liu
- Dept. of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
| | - Gigliola Di Matteo
- Academic Dept. of Pediatrics (DPUO), Unit of Clinical Immunology and Vaccinology, IRCCS Bambin Gesù Children Hospital, Rome, Italy
- Research Unit of Primary Immunodeficiency, IRCCS Bambin Gesù Children Hospital, Rome, Italy
| | - Maggie P. Fu
- Dept. of Medical Genetics, The University of British Columbia, Vancouver, Canada
- Genome Science and Technology Program, Faculty of Science, The University of British Columbia, Vancouver, Canada
| | - Donato Amodio
- Academic Dept. of Pediatrics (DPUO), Unit of Clinical Immunology and Vaccinology, IRCCS Bambin Gesù Children Hospital, Rome, Italy
| | - Issan Yee San Tam
- Dept. of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
| | | | | | - Joshua Dalmann
- Dept. of Pediatrics, BC Children’s Hospital, University of British Columbia, Vancouver, Canada
| | - Robin van der Lee
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Vancouver, Canada
- Dept. of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Géraldine Blanchard-Rohner
- Dept. of Pediatrics, BC Children’s Hospital, University of British Columbia, Vancouver, Canada
- Unit of Immunology and Vaccinology, Division of General Pediatrics, Dept. of Woman, Child, and Adolescent Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Susan Lin
- Dept. of Pediatrics, BC Children’s Hospital, University of British Columbia, Vancouver, Canada
| | - Quentin Philippot
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
| | - Phillip A. Richmond
- Dept. of Pediatrics, BC Children’s Hospital, University of British Columbia, Vancouver, Canada
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Vancouver, Canada
| | - Jessica J. Lee
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Vancouver, Canada
- Genome Science and Technology Graduate Program, University of British Columbia, Vancouver, Canada
| | - Allison Matthews
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Vancouver, Canada
- Dept. of Paediatrics, University of Toronto, Toronto, Canada
| | - Michael Seear
- Dept. of Pediatrics, BC Children’s Hospital, University of British Columbia, Vancouver, Canada
| | - Alexandra K. Turvey
- Dept. of Pediatrics, BC Children’s Hospital, University of British Columbia, Vancouver, Canada
| | - Rachael L. Philips
- Molecular Immunology and Inflammation Branch, National Institute of Arthritis, Musculoskeletal and Skin Diseases, NIH, Bethesda, MD, USA
| | - Terri F. Brown-Whitehorn
- Dept. of Pediatrics, Division of Allergy and Immunology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Christopher J. Gray
- Pediatrics, Division of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kosuke Izumi
- Pediatrics, Division of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - James R. Treat
- Pediatrics, Division of Pediatric Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kathleen H. Wood
- Pathology and Laboratory Medicine, Division of Genomic Diagnostics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Justin Lack
- NIAID Collaborative Bioinformatics Resource, NIAID, NIH, Bethesda, MD, USA
| | - Asya Khleborodova
- NIAID Collaborative Bioinformatics Resource, NIAID, NIH, Bethesda, MD, USA
| | | | - Xingtian Yang
- Dept. of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
| | - Rui Liang
- Dept. of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
| | - Lin Kui
- Dept. of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
- Dept. of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Christina Sze Man Wong
- Dept. of Medicine, Divison of Dermatology, The University of Hong Kong, Hong Kong, China
| | - Grace Wing Kit Poon
- Dept. of Paediatrics and Adolescent Medicine, Queen Mary Hospital, Hong Kong, China
| | - Alexander Hoischen
- Dept. of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
| | | | - Jing Yang
- Dept. of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
| | - Koon Wing Chan
- Dept. of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
| | - Jaime Sou Da Rosa Duque
- Dept. of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
| | - Pamela Pui Wah Lee
- Dept. of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
| | - Marco Hok Kung Ho
- Dept. of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
- Virtus Medical, Hong Kong, China
| | - Brian Hon Yin Chung
- Dept. of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
| | - Huong Thi Minh Le
- Pediatric Center, Vinmec Times City International General Hospital, Hanoi, Vietnam
| | - Wanling Yang
- Dept. of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
| | - Pejman Rohani
- Pediatrics, Pediatric Gastroenterology and Hepatology Research Center, Pediatrics Centre of Excellence, Children’s Medical Center, University of Medical Sciences, Tehran, Iran
| | - Ali Fouladvand
- Pediatrics, Allergy and Clinical Immunology, Lorestan University of Medical Sciences, Khoramabad, Iran
| | - Hassan Rokni-Zadeh
- Dept. of Medical Biotechnology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | | | - Mohammad Miryounesi
- Dept. of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Anne Puel
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY, USA
| | - Mohammad Shahrooei
- Microbiology and Immunology, Laboratory of Clinical Bacteriology and Mycology, KU Leuven, Leuven, Belgium
| | - Andrea Finocchi
- Dept. of System Medicine, Pediatric Chair, University of Tor Vergata, Rome, Italy
- Research Unit of Primary Immunodeficiency, IRCCS Bambin Gesù Children Hospital, Rome, Italy
| | - Paolo Rossi
- Dept. of System Medicine, Pediatric Chair, University of Tor Vergata, Rome, Italy
- DPUO, Research Unit of Infectivology and Pediatrics Drugs Development, Bambino Gesù Children Hospital IRCCS, Rome, Italy
| | - Beatrice Rivalta
- Dept. of System Medicine, Pediatric Chair, University of Tor Vergata, Rome, Italy
- Academic Dept. of Pediatrics (DPUO), Unit of Clinical Immunology and Vaccinology, IRCCS Bambin Gesù Children Hospital, Rome, Italy
- Research Unit of Primary Immunodeficiency, IRCCS Bambin Gesù Children Hospital, Rome, Italy
| | - Cristina Cifaldi
- Research Unit of Primary Immunodeficiency, IRCCS Bambin Gesù Children Hospital, Rome, Italy
| | - Antonio Novelli
- Laboratory of Medical Genetics, Translational Cytogenomics Research Unit, Bambino Gesù Children Hospital IRCCS, Rome, Italy
| | - Chiara Passarelli
- Laboratory of Medical Genetics, Translational Cytogenomics Research Unit, Bambino Gesù Children Hospital IRCCS, Rome, Italy
| | - Stefania Arasi
- Allergy Unit, Area of Translational Research in Pediatric Specialities, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | - Dominique Bullens
- Dept. of Microbiology, Immunology and Transplantation, Allergy and Clinical Immunology Research Group, KU Leuven, Leuven, Belgium
- Dept. of Pediatrics, Pediatric Allergy Division, University Hospitals Leuven, Leuven, Belgium
| | - Kate Sauer
- Dept. of Pediatrics, Pediatric Pulmonology Division, AZ Sint-Jan Brugge, Brugge, Belgium
- Dept. of Pediatrics, Pediatric Pulmonology Division, University Hospitals Leuven, Leuven, Belgium
| | - Tania Claeys
- Dept. of Pediatrics, Pediatric Gastroenterology Division, AZ Sint-Jan Brugge, Brugge, Belgium
| | - Catherine M. Biggs
- Dept. of Pediatrics, BC Children’s Hospital, University of British Columbia, Vancouver, Canada
| | - Emma C. Morris
- Institute of Immunity and Transplantation, Division of Infection and Immunity, University College London, London, UK
- Dept. of Immunology, Royal Free London NHS Foundation Trust, London, UK
| | | | - John J. O’Shea
- Molecular Immunology and Inflammation Branch, National Institute of Arthritis, Musculoskeletal and Skin Diseases, NIH, Bethesda, MD, USA
| | - Wyeth W. Wasserman
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Vancouver, Canada
| | - H. Melanie Bedford
- Dept. of Paediatrics, University of Toronto, Toronto, Canada
- Genetics Program, North York General Hospital, Toronto, Canada
| | - Clara D.M. van Karnebeek
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Vancouver, Canada
- Depts. of Pediatrics and Clinical Genetics, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Paolo Palma
- Dept. of System Medicine, Pediatric Chair, University of Tor Vergata, Rome, Italy
- Academic Dept. of Pediatrics (DPUO), Unit of Clinical Immunology and Vaccinology, IRCCS Bambin Gesù Children Hospital, Rome, Italy
| | - Siobhan O. Burns
- Institute of Immunity and Transplantation, Division of Infection and Immunity, University College London, London, UK
- Dept. of Immunology, Royal Free London NHS Foundation Trust, London, UK
| | - Isabelle Meyts
- Dept. of Microbiology, Immunology and Transplantation, Laboratory for Inborn Errors of Immunity, KU Leuven, Leuven, Belgium
- Dept. of Pediatrics, Pediatric Immunodeficiencies Division, University Hospitals Leuven, Leuven, Belgium
| | - Jean-Laurent Casanova
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
- Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA
- Department of Pediatrics, Necker Hospital for Sick Children, AP-HP, France
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY, USA
| | - Jonathan J. Lyons
- Translational Allergic Immunopathology Unit, Laboratory of Allergic Diseases, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Nima Parvaneh
- Department of Pediatrics, Children’s Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Anh Thi Van Nguyen
- Dept. of Immunology, Allergy and Rheumatology, Division of Primary Immunodeficiency, Vietnam National Children’s Hospital, Hanoi, Vietnam
| | - Caterina Cancrini
- Dept. of System Medicine, Pediatric Chair, University of Tor Vergata, Rome, Italy
- Research Unit of Primary Immunodeficiency, IRCCS Bambin Gesù Children Hospital, Rome, Italy
| | - Jennifer Heimall
- Dept. of Pediatrics, Division of Allergy and Immunology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Hanan Ahmed
- Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | | | - Yu Lung Lau
- Dept. of Paediatrics and Adolescent Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
| | - Vivien Béziat
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY, USA
| | - Stuart E. Turvey
- Dept. of Pediatrics, BC Children’s Hospital, University of British Columbia, Vancouver, Canada
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Zhu Y, Pan Z, Jing D, Liang H, Cheng J, Li D, Zhou X, Lin F, Liu H, Pan P, Zhang Y. Association of air pollution, genetic risk, and lifestyle with incident adult-onset asthma: A prospective cohort study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 257:114922. [PMID: 37080133 DOI: 10.1016/j.ecoenv.2023.114922] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 04/13/2023] [Accepted: 04/16/2023] [Indexed: 05/03/2023]
Abstract
BACKGROUND Numerous studies have explored the association of air pollution with asthma but have yielded conflicting results. The exact role of air pollution in the incidence of adult-onset asthma and whether this effect is modified by genetic risk, lifestyle, or their interaction remain uncertain. METHODS We conducted a prospective cohort study on 298,738 participants (aged 37-73 years) registered in the UK Biobank. Cox proportional hazard models were used to evaluate the association of air pollution, including particulate matter (PM2.5, PMcoarse, and PM10), nitrogen dioxide (NO2), and nitrogen oxides (NOx), with asthma incidence. We constructed genetic risk and lifestyle scores, assessed whether the impact of air pollution on adult-onset asthma risk was modified by genetic susceptibility or lifestyle factors, and evaluated the identified interactions. RESULTS We found that each interquartile range increase in annual concentrations of PM2.5, NO2, and NOx was related to 1.04 (95% confidence interval [CI]: 1.01, 1.08), 1.04 (95% CI: 1.00, 1.08), and 1.03 (95% CI: 1.00, 1.06) times the risk of adult-onset asthma, respectively. The size of the effect of air pollution was greater among subpopulations with low genetic risk or unfavorable lifestyles. We also identified an additive interaction effect of air pollution with lifestyle factors, but not with genetic risk, on the risk of adult-onset asthma. CONCLUSION Our analyses show that air pollution increases the risk of adult-onset asthma, but that the size of the effect is modified by lifestyle and genetic risk. These findings emphasize the need for integrated interventions for environmental pollution by the government as well as adherence to healthy lifestyles to prevent adult-onset asthma.
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Affiliation(s)
- Yiqun Zhu
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China
| | - Zhaoyi Pan
- Central South University, Changsha 410008, Hunan, China
| | - Danrong Jing
- Department of Dermatology, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China
| | - Huaying Liang
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China
| | - Jun Cheng
- Department of Spine Surgery, The Third Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Dianwu Li
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China
| | - Xin Zhou
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China
| | - Fengyu Lin
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China
| | - Hong Liu
- Department of Dermatology, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha 410008, Hunan, China.
| | - Pinhua Pan
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha 410008, Hunan, China.
| | - Yan Zhang
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha 410008, Hunan, China.
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45
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Chang X, March M, Mentch F, Qu H, Liu Y, Glessner J, Sleiman P, Hakonarson H. Genetic architecture of asthma in African American patients. J Allergy Clin Immunol 2023; 151:1132-1136. [PMID: 36089080 PMCID: PMC9992439 DOI: 10.1016/j.jaci.2022.09.001] [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: 12/24/2021] [Revised: 08/26/2022] [Accepted: 09/02/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND Asthma is a chronic inflammatory disorder with a strong genetic inheritance. Although more than 100 loci were reported through the genome-wide association study of European populations, the genetic underpinning of asthma in African American individuals remains largely elusive. OBJECTIVE We aimed to identify genetic loci associated with asthma in African American individuals. METHODS Three cohorts were genotyped at the Children's Hospital of Philadelphia by using the Illumina single-nucleotide polymorphism array platform. Genotype imputation was performed by using the Trans-Omics for Precision Medicine (TOPMed) reference panel, which includes whole genome sequencing data from more than 100,000 individuals. A meta-analysis of 3 Children's Hospital of Philadelphia cohorts and 10 Consortium on Asthma among African Ancestry Populations in the Americas cohorts, totaling 19,628 subjects, was conducted to identify genetic loci associated with asthma in African American individuals. RESULTS Our study identified 12 loci surpassing the classical genome-wide significance threshold (5 × 10-8). Of those loci, 8 reached the stricter significance threshold (3 × 10-8). The 9p24.1 locus (rs10975467 [P = 1.63 × 10-8]) has previously been associated with asthma in European individuals. Six loci are associated with enhancer activities, 2 loci are in DNase I-hypersensitive regions, and all of them are associated with regulatory motifs. Moreover, the locus 11q13.4 (rs7480008) is an expression quantitative trait locus of XRRA1 in lung (P = 9.4 × 10-10), and the locus 13q14.3 (rs1543525) is a splicing quantitative trait locus of DHRS12 in lung (P = 1.1 × 10-13). CONCLUSIONS Our findings provide candidate genetic loci for therapeutic target identification and prioritization for African populations.
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Affiliation(s)
- Xiao Chang
- Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China; Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pa.
| | - Michael March
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Frank Mentch
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Huiqi Qu
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Yichuan Liu
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Joseph Glessner
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Patrick Sleiman
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, Pa; Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, Pa; Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, Pa; Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
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Zein JG, Bazeley P, Meyers D, Bleecker E, Gaston B, Hu B, Attaway A, Ortega V. A Between-Sex Comparison of the Genomic Architecture of Asthma. Am J Respir Cell Mol Biol 2023; 68:456-458. [PMID: 37000440 PMCID: PMC10112425 DOI: 10.1165/rcmb.2022-0430le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/01/2023] Open
Affiliation(s)
| | | | | | | | | | - Bo Hu
- Cleveland ClinicCleveland, Ohio
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Jin Y, Wang W, Zhang Z, Ou Y, Quan J, Zhao X. Stepwise Frontal Analysis Coupled with Affinity Chromatography: A Fast and Reliable Method for Potential Ligand Isolation and Evaluation from Mahuang-Fuzi-Xixin Decoction. Chem Biodivers 2023; 20:e202201057. [PMID: 36756691 DOI: 10.1002/cbdv.202201057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 02/04/2023] [Accepted: 02/08/2023] [Indexed: 02/10/2023]
Abstract
Mahuang-Fuzi-Xixin Decoction (MFXD) is widely used in the treatment of asthma, however, the functional components in the decoction targeting beta2-adrenoceptor (β2 -AR) remain unclear. Herein, we immobilized the haloalkane dehalogenase (Halo)-tagged β2 -AR on the 6-chlorocaproic acid-modified microspheres. Using the affinity stationary phase, the interactions of four ligands with the receptor were analyzed by stepwise frontal analysis. The association constants were (4.75±0.28)×104 M-1 for salbutamol, (2.93±0.15)×104 M-1 for terbutaline, (1.23±0.03)×104 M-1 for methoxyphenamine, (5.67±0.38)×104 M-1 for clorprenaline at high-affinity binding site, and (2.73±0.05)×103 M-1 at low-affinity binding site. These association constants showed the same rank order as the radioligand binding assay, demonstrating that immobilized β2 -AR had capacity to screen bioactive compounds binding to the receptor while stepwise frontal analysis could predict their binding affinities. Application of the immobilized receptor in analysis of MFXD by chromatographic method revealed that ephedrine, aconifine, karakoline, and chasmanine were the bioactive compounds targeting β2 -AR. Among them, ephedrine and chasmanine exhibited association constants of (2.94±0.02)×104 M-1 and (4.60±0.15)×104 M-1 to the receptor by stepwise frontal analysis. Molecular docking analysis demonstrated that ephedrine, chasmanine, and the other two compounds interact with β2 -AR through the same pocket involving the key amino acids such as Asn312, Asp113, Phe289, Trp286, Tyr316, and Val114. As such, we reasoned that the four compounds dominate the therapeutic effect of MFXD against asthma through β2 -AR mediating pathway. This work shed light on the potential of immobilized β2 -AR for drug discovery and provided a valuable methodology for rapid screening.
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Affiliation(s)
- Yahui Jin
- College of Life Sciences, Northwest University, Xi'an, 710069, China
| | - Wenwen Wang
- College of Life Sciences, Northwest University, Xi'an, 710069, China
| | - Zilong Zhang
- College of Life Sciences, Northwest University, Xi'an, 710069, China
| | - Yuanyuan Ou
- College of Life Sciences, Northwest University, Xi'an, 710069, China
| | - Jia Quan
- College of Life Sciences, Northwest University, Xi'an, 710069, China
| | - Xinfeng Zhao
- College of Life Sciences, Northwest University, Xi'an, 710069, China
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48
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Wong QYA, Lim JJ, Ng JY, Malipeddi P, Lim YYE, Sio YY, Chew FT. An updated prevalence of asthma, its phenotypes, and the identification of the potential asthma risk factors among young Chinese adults recruited in Singapore. World Allergy Organ J 2023; 16:100757. [PMID: 36968625 PMCID: PMC10033744 DOI: 10.1016/j.waojou.2023.100757] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 02/01/2023] [Accepted: 02/25/2023] [Indexed: 03/22/2023] Open
Abstract
Background Asthma is a chronic inflammatory disease of the airway characterized by respiratory symptoms: wheezing, shortness of breath, coughing, and chest tightness. Globally, asthma affects over 300 million individuals and carries high morbidity and mortality burden. Previous studies have estimated the prevalence of asthma; however, prevalence estimates have been changing over time. Here, in a population of young Chinese adults from Singapore, we aimed to obtain an updated prevalence of asthma and its phenotypes, and identify potential associated risk factors. Methods The Singapore/Malaysia Cross-Sectional Genetics Epidemiology Study (SMCGES) is an ongoing study which uses established ISAAC guidelines to collect epidemiological data and information pertaining to allergic diseases such as asthma. Responses from young Chinese adults recruited in the National University of Singapore were analyzed. Results Lifetime asthma prevalence rate was estimated at 19.1% (2049/10,736), while current asthma prevalence rate was estimated at 6.3% (679/10,736). For ever asthma, the most important risk factor was a parental history of asthma. Increased consumption of pulses (aOR: 0.822, 95% CI: 0.706-0.958) was associated with a lowered odds of ever asthma, but cereals (aOR: 1.256, 95% CI: 1.006-1.580), pasta (aOR: 1.265, 95% CI: 1.027-1.553), butter (aOR: 1.350, 95% CI: 1.113-1.632), and margarine (aOR: 1.343, 95% CI: 1.081-1.660) were associated with a higher risk of ever asthma. Increased television/computer usage was associated with a decreased risk of ever asthma (aOR: 0.448, 95% CI: 0.367-0.545). Conversely, genetic factors had a lower strength of effect on current asthma (parental history of asthma - OR: 1.465, 95% CI: 1.135-1.888) as compared to ever asthma. Only increased potato consumption was significantly associated with an increased risk of current asthma (most or all days per week vs never or only occasionally - aOR: 1.577, 95% CI: 1.145-2.180). Physical activity (aOR: 0.693, 95% CI: 0.542-0.885) was associated with a lower odds of asthma, while second-hand smoke exposure was associated with an increased risk for current asthma (aOR: 1.435, 95% CI: 1.001-2.047). Conclusion Overall, the prevalence of lifetime asthma and current asthma among young Chinese adults was 19.1% and 6.3%, higher than that of previous studies. Our results suggested a stronger association between genetic factors and ever asthma as compared to current asthma. Parental asthma was the most important intrinsic epidemiological factor for asthma manifestation, while various foods, physical activity levels, and television or computer usage were also significantly associated with asthma. Future studies should consider risk factors in conjunction with other accompanying variables given the potential interactions between them, to discern the effects of environment and lifestyle on asthma more distinctly.
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Zhao SS, Bellou E, Verstappen SMM, Cook MJ, Sergeant JC, Warren RB, Barton A, Bowes J. Association between psoriatic disease and lifestyle factors and comorbidities: cross-sectional analysis and Mendelian randomization. Rheumatology (Oxford) 2023; 62:1272-1285. [PMID: 35861400 PMCID: PMC9977114 DOI: 10.1093/rheumatology/keac403] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 07/03/2022] [Accepted: 07/03/2022] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVES To examine associations between PsA and psoriasis vs lifestyle factors and comorbidities by triangulating observational and genetic evidence. METHODS We analysed cross-sectional data from the UK Biobank (1836 PsA, 8995 psoriasis, 36 000 controls) to describe the association between psoriatic disease and lifestyle factors (including BMI and smoking) and 15 comorbidities [including diabetes and coronary artery disease (CAD)] using logistic models adjusted for age, sex and lifestyle factors. We applied bidirectional Mendelian randomization (MR) to genome-wide association data (3609 PsA and 7804 psoriasis cases, up to 1.2 million individuals for lifestyle factors and 757 601 for comorbidities) to examine causal direction, using the inverse-variance weighted method. RESULTS BMI was cross-sectionally associated with risk of PsA (OR 1.31 per 5 kg/m2 increase; 95% CI 1.26, 1.37) and psoriasis (OR 1.23; 1.20, 1.26), with consistent MR estimates (PsA OR 1.38; 1.14, 1.67; psoriasis OR 1.36; 1.18, 1.58). In both designs, smoking was more strongly associated with psoriasis than PsA. PsA and psoriasis were cross-sectionally associated with diabetes (OR 1.35 and 1.39, respectively) and CAD (OR 1.56 and 1.38, respective). Genetically predicted glycated haemoglobin (surrogate for diabetes) increased PsA risk (OR 1.18 per 6.7 mmol/mol increase; 1.02, 1.36) but not psoriasis. Genetic liability to PsA (OR 1.05; 1.003, 1.09) and psoriasis (OR 1.03; 1.001, 1.06) were associated with increased risk of CAD. CONCLUSION Observational and genetic evidence converge to suggest that BMI and glycaemic control are associated with increased psoriatic disease risk, while psoriatic disease is associated with increased CAD risk. Further research is needed to understand the mechanism of these associations.
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Affiliation(s)
| | - Eftychia Bellou
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester.,UK Dementia Research Institute, Cardiff University, Cardiff
| | - Suzanne M M Verstappen
- Centre for Epidemiology Versus Arthritis.,NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust
| | | | - Jamie C Sergeant
- Centre for Epidemiology Versus Arthritis.,Centre for Biostatistics, Faculty of Biology Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre
| | - Richard B Warren
- Dermatology Centre, Salford Royal NHS Foundation Trust, Manchester NIHR Biomedical Research Centre, University of Manchester, Manchester, UK
| | - Anne Barton
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester.,NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust
| | - John Bowes
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester.,NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust
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50
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Liang H, Jing D, Zhu Y, Li D, Zhou X, Tu W, Liu H, Pan P, Zhang Y. Association of genetic risk and lifestyle with incident adult-onset asthma in the UK Biobank cohort. ERJ Open Res 2023; 9:00499-2022. [PMID: 37057096 PMCID: PMC10086697 DOI: 10.1183/23120541.00499-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 12/08/2022] [Indexed: 04/15/2023] Open
Abstract
Background Both genetic and lifestyle factors contribute to the development of asthma, but whether unfavourable lifestyle is associated with similar increases in risk of developing asthma among individuals with varying genetic risk levels remains unknown. Methods A healthy lifestyle score was constructed using body mass index, smoking status, physical activities and dietary pattern to further categorise into ideal, intermediate and poor groups. Genetic risk of asthma was also categorised as three groups based on the tertiles of polygenic risk score established using 212 reported and verified single-nucleotide polymorphisms of European ancestry in the UK Biobank study. We examined the risk of incident asthma related with each lifestyle level in each genetic risk group by Cox regression models. Results Finally, 327 124 participants without baseline asthma were included, and 157 320 (48.1%) were male. During follow-up, 6238 participants (1.9%) developed asthma. Compared to ideal lifestyle in a low genetic risk group, poor lifestyle was associated with a hazard ratio of up to 3.87 (95% CI, 2.98-5.02) for developing asthma in a high genetic risk group. There was interaction between genetic risk and lifestyle, and the population-attributable fraction of lifestyle and genetic risk were 30.2% and 30.0% respectively. Conclusion In this large contemporary population, lifestyle and genetic factors jointly play critical roles in the development of asthma, and the effect values of lifestyle on incident adult-onset asthma were greater than that of genetic risk. Our findings highlighted the necessity of a comprehensive intervention for the prevention of asthma despite the genetic risk.
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Affiliation(s)
- Huaying Liang
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- These authors contributed equally to this work
| | - Danrong Jing
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- Department of Dermatology, Xiangya Hospital of Central South University, Changsha, China
- These authors contributed equally to this work
| | - Yiqun Zhu
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
| | - Dianwu Li
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
| | - Xin Zhou
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
| | - Wei Tu
- Department of Respirology and Allergy, Third Affiliated Hospital of Shenzhen University, Shenzhen, China
- Division of Allergy and Clinical Immunology, Johns Hopkins University, Baltimore, MD, USA
| | - Hong Liu
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- Department of Dermatology, Xiangya Hospital of Central South University, Changsha, China
- These authors contributed equally to this work
| | - Pinhua Pan
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- These authors contributed equally to this work
| | - Yan Zhang
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China
- Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha, China
- Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- These authors contributed equally to this work
- Corresponding author: Yan Zhang (); Pinhua Pan (); Hong Liu ()
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