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Mebratu YA, Jones JT, Liu C, Negasi ZH, Rahman M, Rojas-Quintero J, O’Connor GT, Gao W, Dupuis J, Cho MH, Litonjua AA, Randell S, Tesfaigzi Y. Bik promotes proteasomal degradation to control low-grade inflammation. J Clin Invest 2023; 134:e170594. [PMID: 38113109 PMCID: PMC10866658 DOI: 10.1172/jci170594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 12/13/2023] [Indexed: 12/21/2023] Open
Abstract
Although chronic low-grade inflammation does not cause immediate clinical symptoms, over the longer term, it can enhance other insults or age-dependent damage to organ systems and thereby contribute to age-related disorders, such as respiratory disorders, heart disease, metabolic disorders, autoimmunity, and cancer. However, the molecular mechanisms governing low-level inflammation are largely unknown. We discovered that Bcl-2-interacting killer (Bik) deficiency causes low-level inflammation even at baseline and the development of spontaneous emphysema in female but not male mice. Similarly, a single nucleotide polymorphism that reduced Bik levels was associated with increased inflammation and enhanced decline in lung function in humans. Transgenic expression of Bik in the airways of Bik-deficient mice inhibited allergen- or LPS-induced lung inflammation and reversed emphysema in female mice. Bik deficiency increased nuclear but not cytosolic p65 levels because Bik, by modifying the BH4 domain of Bcl-2, interacted with regulatory particle non-ATPase 1 (RPN1) and RPN2 and enhanced proteasomal degradation of nuclear proteins. Bik deficiency increased inflammation primarily in females because Bcl-2 and Bik levels were reduced in lung tissues and airway cells of female compared with male mice. Therefore, controlling low-grade inflammation by modifying the unappreciated role of Bik and Bcl-2 in facilitating proteasomal degradation of nuclear proteins may be crucial in treating chronic age-related diseases.
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Affiliation(s)
- Yohannes A. Mebratu
- Brigham and Women’s Hospital, Division of Pulmonary and Critical Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Jane T. Jones
- University Geisel School of Medicine, Department of Microbiology and Immunology, Dartmouth, Hanover, New Hampshire, USA
| | - Congjian Liu
- Brigham and Women’s Hospital, Division of Pulmonary and Critical Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Zerihun H. Negasi
- Brigham and Women’s Hospital, Division of Pulmonary and Critical Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Mizanur Rahman
- Brigham and Women’s Hospital, Division of Pulmonary and Critical Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Joselyn Rojas-Quintero
- Brigham and Women’s Hospital, Division of Pulmonary and Critical Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - George T. O’Connor
- Pulmonary Center, Boston University School of Medicine, Boston, Massachusetts, USA
- National Heart, Lung, and Blood Institute’s (NHLBI’s) Framingham Heart Study, Framingham, Massachusetts, USA
| | - Wei Gao
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada
| | - Michael H. Cho
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Augusto A. Litonjua
- Division of Pediatric Pulmonary Medicine, University of Rochester Medical Center, Rochester, New York, USA
| | - Scott Randell
- Marsico Lung Institute, UNC School of Medicine, Chapel Hill, North Carolina, USA
| | - Yohannes Tesfaigzi
- Brigham and Women’s Hospital, Division of Pulmonary and Critical Medicine, Harvard Medical School, Boston, Massachusetts, USA
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2
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Shadid IL, Lee-Sarwar K, Lu Z, Yadama A, Laranjo N, Carey V, O’Connor GT, Zeiger RS, Bacharier L, Guchelaar HJ, Liu YY, Litonjua AA, Weiss ST, Mirzakhani H. Early life gut microbiome in children following spontaneous preterm birth and maternal preeclampsia. iScience 2023; 26:108311. [PMID: 38025771 PMCID: PMC10679898 DOI: 10.1016/j.isci.2023.108311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 08/25/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023] Open
Abstract
The early life microbiome plays an important role in developmental and long-term health outcomes. However, it is unknown whether adverse pregnancy complications affect the offspring's gut microbiome postnatally and in early years. In a longitudinal cohort with a five-year follow-up of mother-child pairs affected by preeclampsia (PE) or spontaneous preterm birth (sPTB), we evaluated offspring gut alpha and beta diversity as well as taxa abundances considering factors like breastfeeding and mode of delivery. Our study highlights a trend where microbiome diversity exhibits comparable development across adverse and normal pregnancies. However, specific taxa at genus level emerge with distinctive abundances, showing enrichment and/or depletion over time in relation to PE or sPTB. These findings underscore the potential for certain adverse pregnancy complications to induce alterations in the offspring's microbiome over the course of early life. The implications of these findings on the immediate and long-term health of offspring should be investigated in future studies.
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Affiliation(s)
- Iskander L.C. Shadid
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Leiden, the Netherlands
| | - Kathleen Lee-Sarwar
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Zheng Lu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Arya Yadama
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- System Dynamics at MIT Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Nancy Laranjo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Vincent Carey
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - George T. O’Connor
- Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Robert S. Zeiger
- Department of Clinical Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA
| | - Leonard Bacharier
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Leiden, the Netherlands
| | - Yang-Yu Liu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Center for Artificial Intelligence and Modeling, The Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Augusto A. Litonjua
- Division of Pediatric Pulmonary Medicine, Golisano Children’s Hospital at University of Rochester Medical Center, Rochester, NY, USA
| | - Scott T. Weiss
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Hooman Mirzakhani
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
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3
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Moll M, Peljto AL, Kim JS, Xu H, Debban CL, Chen X, Menon A, Putman RK, Ghosh AJ, Saferali A, Nishino M, Hatabu H, Hobbs BD, Hecker J, McDermott G, Sparks JA, Wain LV, Allen RJ, Tobin MD, Raby BA, Chun S, Silverman EK, Zamora AC, Ortega VE, Garcia CK, Barr RG, Bleecker ER, Meyers DA, Kaner RJ, Rich SS, Manichaikul A, Rotter JI, Dupuis J, O’Connor GT, Fingerlin TE, Hunninghake GM, Schwartz DA, Cho MH. A Polygenic Risk Score for Idiopathic Pulmonary Fibrosis and Interstitial Lung Abnormalities. Am J Respir Crit Care Med 2023; 208:791-801. [PMID: 37523715 PMCID: PMC10563194 DOI: 10.1164/rccm.202212-2257oc] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 07/31/2023] [Indexed: 08/02/2023] Open
Abstract
Rationale: In addition to rare genetic variants and the MUC5B locus, common genetic variants contribute to idiopathic pulmonary fibrosis (IPF) risk. The predictive power of common variants outside the MUC5B locus for IPF and interstitial lung abnormalities (ILAs) is unknown. Objectives: We tested the predictive value of IPF polygenic risk scores (PRSs) with and without the MUC5B region on IPF, ILA, and ILA progression. Methods: We developed PRSs that included (PRS-M5B) and excluded (PRS-NO-M5B) the MUC5B region (500-kb window around rs35705950-T) using an IPF genome-wide association study. We assessed PRS associations with area under the receiver operating characteristic curve (AUC) metrics for IPF, ILA, and ILA progression. Measurements and Main Results: We included 14,650 participants (1,970 IPF; 1,068 ILA) from six multi-ancestry population-based and case-control cohorts. In cases excluded from genome-wide association study, the PRS-M5B (odds ratio [OR] per SD of the score, 3.1; P = 7.1 × 10-95) and PRS-NO-M5B (OR per SD, 2.8; P = 2.5 × 10-87) were associated with IPF. Participants in the top PRS-NO-M5B quintile had ∼sevenfold odds for IPF compared with those in the first quintile. A clinical model predicted IPF (AUC, 0.61); rs35705950-T and PRS-NO-M5B demonstrated higher AUCs (0.73 and 0.7, respectively), and adding both genetic predictors to a clinical model yielded the highest performance (AUC, 0.81). The PRS-NO-M5B was associated with ILA (OR, 1.25) and ILA progression (OR, 1.16) in European ancestry participants. Conclusions: A common genetic variant risk score complements the MUC5B variant to identify individuals at high risk of interstitial lung abnormalities and pulmonary fibrosis.
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Affiliation(s)
- Matthew Moll
- Division of Pulmonary and Critical Care Medicine, and
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Anna L. Peljto
- Department of Medicine and
- Department of Immunology, Division of Pulmonary Medicine, University of Colorado, Aurora, Colorado
| | - John S. Kim
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Virginia, Charlottesville, Virginia
| | - Hanfei Xu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Catherine L. Debban
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Xianfeng Chen
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Phoenix, Arizona
| | - Aravind Menon
- Division of Pulmonary and Critical Care Medicine, and
| | | | - Auyon J. Ghosh
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, State University of New York Upstate Medical Center, Syracuse, New York
| | - Aabida Saferali
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Mizuki Nishino
- Center for Pulmonary Functional Imaging, Department of Radiology
| | - Hiroto Hatabu
- Center for Pulmonary Functional Imaging, Department of Radiology
| | - Brian D. Hobbs
- Division of Pulmonary and Critical Care Medicine, and
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Julian Hecker
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Gregory McDermott
- Division of Rheumatology, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Jeffrey A. Sparks
- Division of Rheumatology, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Louise V. Wain
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Richard J. Allen
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Martin D. Tobin
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Benjamin A. Raby
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Pediatrics
- Division of Pulmonary Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sung Chun
- Division of Pulmonary Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Edwin K. Silverman
- Division of Pulmonary and Critical Care Medicine, and
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Ana C. Zamora
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Phoenix, Arizona
| | - Victor E. Ortega
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Phoenix, Arizona
| | - Christine K. Garcia
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, New York
| | - R. Graham Barr
- Department of Medicine and
- Division of General Medicine, Department of Epidemiology, Columbia University Medical Center, New York, New York
| | - Eugene R. Bleecker
- Division of Genetics, Genomics, and Precision Medicine, Department of Medicine, University of Arizona, Tucson, Arizona
| | - Deborah A. Meyers
- Division of Genetics, Genomics, and Precision Medicine, Department of Medicine, University of Arizona, Tucson, Arizona
| | - Robert J. Kaner
- Division of Pulmonary Medicine, Weill Cornell School of Medicine, New York, New York
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-University of California, Los Angeles Medical Center, Torrance, California
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University Faculty of Medicine and Health Sciences, Montreal, Quebec, Canada
| | - George T. O’Connor
- Department of Medicine, Pulmonary Center, Boston University School of Medicine, Boston, Massachusetts; and
| | - Tasha E. Fingerlin
- The National Jewish Health Cohen Family Asthma Institute, Division of Allergy and Immunology, National Jewish Health, Denver, Colorado
| | | | - David A. Schwartz
- Department of Medicine and
- Department of Immunology, Division of Pulmonary Medicine, University of Colorado, Aurora, Colorado
| | - Michael H. Cho
- Division of Pulmonary and Critical Care Medicine, and
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
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4
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Ngo D, Pratte KA, Flexeder C, Petersen H, Dang H, Ma Y, Keyes MJ, Gao Y, Deng S, Peterson BD, Farrell LA, Bhambhani VM, Palacios C, Quadir J, Gillenwater L, Xu H, Emson C, Gieger C, Suhre K, Graumann J, Jain D, Conomos MP, Tracy RP, Guo X, Liu Y, Johnson WC, Cornell E, Durda P, Taylor KD, Papanicolaou GJ, Rich SS, Rotter JI, Rennard SI, Curtis JL, Woodruff PG, Comellas AP, Silverman EK, Crapo JD, Larson MG, Vasan RS, Wang TJ, Correa A, Sims M, Wilson JG, Gerszten RE, O’Connor GT, Barr RG, Couper D, Dupuis J, Manichaikul A, O’Neal WK, Tesfaigzi Y, Schulz H, Bowler RP. Systemic Markers of Lung Function and Forced Expiratory Volume in 1 Second Decline across Diverse Cohorts. Ann Am Thorac Soc 2023; 20:1124-1135. [PMID: 37351609 PMCID: PMC10405603 DOI: 10.1513/annalsats.202210-857oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 06/13/2023] [Indexed: 06/24/2023] Open
Abstract
Rationale: Chronic obstructive pulmonary disease (COPD) is a complex disease characterized by airway obstruction and accelerated lung function decline. Our understanding of systemic protein biomarkers associated with COPD remains incomplete. Objectives: To determine what proteins and pathways are associated with impaired pulmonary function in a diverse population. Methods: We studied 6,722 participants across six cohort studies with both aptamer-based proteomic and spirometry data (4,566 predominantly White participants in a discovery analysis and 2,156 African American cohort participants in a validation). In linear regression models, we examined protein associations with baseline forced expiratory volume in 1 second (FEV1) and FEV1/forced vital capacity (FVC). In linear mixed effects models, we investigated the associations of baseline protein levels with rate of FEV1 decline (ml/yr) in 2,777 participants with up to 7 years of follow-up spirometry. Results: We identified 254 proteins associated with FEV1 in our discovery analyses, with 80 proteins validated in the Jackson Heart Study. Novel validated protein associations include kallistatin serine protease inhibitor, growth differentiation factor 2, and tumor necrosis factor-like weak inducer of apoptosis (discovery β = 0.0561, Q = 4.05 × 10-10; β = 0.0421, Q = 1.12 × 10-3; and β = 0.0358, Q = 1.67 × 10-3, respectively). In longitudinal analyses within cohorts with follow-up spirometry, we identified 15 proteins associated with FEV1 decline (Q < 0.05), including elafin leukocyte elastase inhibitor and mucin-associated TFF2 (trefoil factor 2; β = -4.3 ml/yr, Q = 0.049; β = -6.1 ml/yr, Q = 0.032, respectively). Pathways and processes highlighted by our study include aberrant extracellular matrix remodeling, enhanced innate immune response, dysregulation of angiogenesis, and coagulation. Conclusions: In this study, we identify and validate novel biomarkers and pathways associated with lung function traits in a racially diverse population. In addition, we identify novel protein markers associated with FEV1 decline. Several protein findings are supported by previously reported genetic signals, highlighting the plausibility of certain biologic pathways. These novel proteins might represent markers for risk stratification, as well as novel molecular targets for treatment of COPD.
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Affiliation(s)
- Debby Ngo
- Cardiovascular Research Institute
- Division of Pulmonary, Critical Care, and Sleep Medicine, and
| | | | - Claudia Flexeder
- Institute of Epidemiology and
- Comprehensive Pneumology Center Munich (CPC-M) as member of the German Center for Lung Research (DZL), Munich, Germany
- Institute and Clinic for Occupational, Social, and Environmental Medicine, University Hospital, Ludwig-Maximilians-University, Munich, Germany
| | - Hans Petersen
- Lovelace Respiratory Research Institute, Albuquerque, New Mexico
| | - Hong Dang
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Yanlin Ma
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | | | - Yan Gao
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi; and
- Institute and Clinic for Occupational, Social, and Environmental Medicine, University Hospital, Ludwig-Maximilians-University, Munich, Germany
| | | | | | | | | | | | | | | | - Hanfei Xu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Claire Emson
- Translational Science and Experimental Medicine, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland
| | - Christian Gieger
- Institute of Epidemiology and
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
| | - Karsten Suhre
- Department of Physiology and Biophysics, Weill Cornell Medicine Qatar, Education City, Doha, Qatar
| | | | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Matthew P. Conomos
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Russell P. Tracy
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA (University of California, Los Angeles) Medical Center, Torrance, California
| | - Yongmei Liu
- Division of Cardiology, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, North Carolina
| | - W. Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Elaine Cornell
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont
| | - Peter Durda
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA (University of California, Los Angeles) Medical Center, Torrance, California
| | - George J. Papanicolaou
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA (University of California, Los Angeles) Medical Center, Torrance, California
| | - Steven I. Rennard
- Pulmonary, Critical Care, Allergy, and Sleep Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California
| | | | - Prescott G. Woodruff
- Pulmonary, Critical Care, Allergy, and Sleep Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California
| | | | | | | | - Martin G. Larson
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
| | - Ramachandran S. Vasan
- The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
- Division of Preventive Medicine and
- Division of Cardiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Thomas J. Wang
- Department of Medicine, UT (University of Texas) Southwestern Medical Center, Dallas, Texas
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Adolfo Correa
- Jackson Heart Study, Department of Medicine, and
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi; and
| | - Mario Sims
- Jackson Heart Study, Department of Medicine, and
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi; and
| | - James G. Wilson
- Cardiovascular Research Institute
- Jackson Heart Study, Department of Medicine, and
| | - Robert E. Gerszten
- Cardiovascular Research Institute
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - George T. O’Connor
- The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
- Pulmonary Center, Department of Medicine, Boston University, Boston, Massachusetts
| | - R. Graham Barr
- Department of Medicine and
- Department of Epidemiology, Columbia University, New York, New York
| | - David Couper
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Wanda K. O’Neal
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Yohannes Tesfaigzi
- Lovelace Respiratory Research Institute, Albuquerque, New Mexico
- Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Holger Schulz
- Institute of Epidemiology and
- Comprehensive Pneumology Center Munich (CPC-M) as member of the German Center for Lung Research (DZL), Munich, Germany
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5
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Lee-Sarwar KA, Fischer-Rasmussen K, Bønnelykke K, Bisgaard H, Chawes B, Kelly RS, Lasky-Su J, Zeiger RS, O’Connor GT, Bacharier LB, Carey VJ, Laranjo N, Litonjua AA, Weiss ST. Omega-3 Fatty Acids Interact with DPP10 Region Genotype in Association with Childhood Atopy. Nutrients 2023; 15:2416. [PMID: 37242299 PMCID: PMC10223962 DOI: 10.3390/nu15102416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 04/27/2023] [Accepted: 05/02/2023] [Indexed: 05/28/2023] Open
Abstract
Associations of omega-3 fatty acids (n-3) with allergic diseases are inconsistent, perhaps in part due to genetic variation. We sought to identify and validate genetic variants that modify associations of n-3 with childhood asthma or atopy in participants in the Vitamin D Antenatal Asthma Reduction Trial (VDAART) and the Copenhagen Prospective Studies on Asthma in Childhood 2010 (COPSAC). Dietary n-3 was derived from food frequency questionnaires and plasma n-3 was measured via untargeted mass spectrometry in early childhood and children aged 6 years old. Interactions of genotype with n-3 in association with asthma or atopy at age 6 years were sought for six candidate genes/gene regions and genome-wide. Two SNPs in the region of DPP10 (rs958457 and rs1516311) interacted with plasma n-3 at age 3 years in VDAART (p = 0.007 and 0.003, respectively) and with plasma n-3 at age 18 months in COPSAC (p = 0.01 and 0.02, respectively) in associationwith atopy. Another DPP10 region SNP, rs1367180, interacted with dietary n-3 at age 6 years in VDAART (p = 0.009) and with plasma n-3 at age 6 years in COPSAC (p = 0.004) in association with atopy. No replicated interactions were identified for asthma. The effect of n-3 on reducing childhood allergic disease may differ by individual factors, including genetic variation in the DPP10 region.
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Affiliation(s)
- Kathleen A. Lee-Sarwar
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Allergy and Clinical Immunology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Kasper Fischer-Rasmussen
- Copenhagen Prospective Studies on Asthma in Childhood (COPSAC), Herlev and Gentofte Hospital, University of Copenhagen, 2820 Gentofte, Denmark
| | - Klaus Bønnelykke
- Copenhagen Prospective Studies on Asthma in Childhood (COPSAC), Herlev and Gentofte Hospital, University of Copenhagen, 2820 Gentofte, Denmark
| | - Hans Bisgaard
- Copenhagen Prospective Studies on Asthma in Childhood (COPSAC), Herlev and Gentofte Hospital, University of Copenhagen, 2820 Gentofte, Denmark
| | - Bo Chawes
- Copenhagen Prospective Studies on Asthma in Childhood (COPSAC), Herlev and Gentofte Hospital, University of Copenhagen, 2820 Gentofte, Denmark
| | - Rachel S. Kelly
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Robert S. Zeiger
- Department of Clinical Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA 91101, USA
| | - George T. O’Connor
- Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Leonard B. Bacharier
- Division of Pediatric Allergy, Immunology and Pulmonary Medicine, Department of Pediatrics, Monroe Carell Jr. Children’s Hospital at Vanderbilt, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Vincent J. Carey
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Nancy Laranjo
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Augusto A. Litonjua
- Division of Pediatric Pulmonary Medicine, Golisano Children’s Hospital at Strong, University of Rochester Medical Center, Rochester, NY 14612, USA
| | - Scott T. Weiss
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
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Lee-Sarwar KA, Chen YC, Lasky-Su J, Kelly RS, Zeiger RS, O’Connor GT, Bacharier LB, Jia X, Beigelman A, Gold DR, Laranjo N, Bunyavanich S, Weiss ST, Litonjua AA, Brennan PJ. Early-life fecal metabolomics of food allergy. Allergy 2023; 78:512-521. [PMID: 36448508 PMCID: PMC10590492 DOI: 10.1111/all.15602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 11/14/2022] [Accepted: 11/21/2022] [Indexed: 12/05/2022]
Abstract
BACKGROUND Intestinal microenvironmental perturbations may increase food allergy risk. We hypothesize that children with clinical food allergy, those with food sensitization, and healthy children can be differentiated by intestinal metabolites in the first years of life. METHODS In this ancillary analysis of the Vitamin D Antenatal Asthma Reduction Trial (VDAART), we performed untargeted metabolomic profiling in 824 stool samples collected at ages 3-6 months, 1 year and 3 years. Subjects included 23 with clinical food allergy at age 3 and/or 6 years, 151 with food sensitization but no clinical food allergy, and 220 controls. We identified modules of correlated, functionally related metabolites and sought associations of metabolite modules and individual metabolites with food allergy/sensitization using regression models. RESULTS Several modules of functionally related intestinal metabolites were reduced among subjects with food allergy, including bile acids at ages 3-6 months and 1 year, amino acids at age 3-6 months, steroid hormones at 1 year, and sphingolipids at age 3 years. One module primarily containing diacylglycerols was increased in those with food allergy at age 3-6 months. Fecal caffeine metabolites at age 3-6 months, likely derived from breast milk, were increased in those with food allergy and/or sensitization (beta = 5.9, 95% CI 1.0-10.8, p = .02) and were inversely correlated with fecal bile acids and bilirubin metabolites, though maternal plasma caffeine levels were not associated with food allergy and/or sensitization. CONCLUSIONS Several classes of bioactive fecal metabolites are associated with food allergy and/or sensitization including bile acids, steroid hormones, sphingolipids, and caffeine metabolites.
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Affiliation(s)
- Kathleen A. Lee-Sarwar
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School; Boston, MA, USA
- Division of Allergy & Clinical Immunology, Brigham and Women’s Hospital and Harvard Medical School; Boston, MA, USA
| | - Yih-Chieh Chen
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School; Boston, MA, USA
- Division of Allergy & Clinical Immunology, Brigham and Women’s Hospital and Harvard Medical School; Boston, MA, USA
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School; Boston, MA, USA
| | - Rachel S. Kelly
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School; Boston, MA, USA
| | - Robert S. Zeiger
- Department of Clinical Science Kaiser Permanente Bernard J. Tyson School of Medicine; Pasadena, CA, USA
| | - George T. O’Connor
- Pulmonary Center and Department of Medicine, Boston University School of Medicine; Boston, MA, USA
| | - Leonard B. Bacharier
- Department of Pediatric Allergy, Immunology, and Pulmonary, Vanderbilt Children’s Hospital, Vanderbilt University Medical Center; Nashville, TN, USA
| | - Xiaojiong Jia
- Division of Allergy & Clinical Immunology, Brigham and Women’s Hospital and Harvard Medical School; Boston, MA, USA
| | - Avraham Beigelman
- Schneider Children’s Medical Center of Israel, Tel Aviv University; Tel Aviv, Israel; Division of Pediatric Allergy, Immunology & Pulmonary Medicine, Department of Pediatrics, Washington University School of Medicine; St. Louis, MO, USA
| | - Diane R. Gold
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School; Boston, MA, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health; Boston, MA, USA
| | - Nancy Laranjo
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School; Boston, MA, USA
| | - Supinda Bunyavanich
- Division of Allergy and Immunology, Department of Pediatrics, Icahn School of Medicine at Mount Sinai; New York, NY, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai; New York, NY, USA
| | - Scott T. Weiss
- Division of Allergy & Clinical Immunology, Brigham and Women’s Hospital and Harvard Medical School; Boston, MA, USA
| | - Augusto A. Litonjua
- Division of Pediatric Pulmonary Medicine, Golisano Children’s Hospital at Strong, University of Rochester Medical Center; Rochester, NY, USA
| | - Patrick J. Brennan
- Division of Allergy & Clinical Immunology, Brigham and Women’s Hospital and Harvard Medical School; Boston, MA, USA
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7
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Lee-Sarwar KA, Chen YC, Yao Chen Y, Kozyrskyj AL, Mandhane PJ, Turvey SE, Subbarao P, Bisgaard H, Stokholm J, Chawes B, Sørensen SJ, Kelly RS, Lasky-Su J, Zeiger RS, O’Connor GT, Sandel MT, Bacharier LB, Beigelman A, Carey VJ, Harshfield BJ, Laranjo N, Gold DR, Weiss ST, Litonjua AA. The maternal prenatal and offspring early-life gut microbiome of childhood asthma phenotypes. Allergy 2023; 78:418-428. [PMID: 36107703 PMCID: PMC9892205 DOI: 10.1111/all.15516] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 08/06/2022] [Accepted: 08/17/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND The infant fecal microbiome is known to impact subsequent asthma risk, but the environmental exposures impacting this association, the role of the maternal microbiome, and how the microbiome impacts different childhood asthma phenotypes are unknown. METHODS Our objective was to identify associations between features of the prenatal and early-life fecal microbiomes and child asthma phenotypes. We analyzed fecal 16 s rRNA microbiome profiling and fecal metabolomic profiling from stool samples collected from mothers during the third trimester of pregnancy (n = 120) and offspring at ages 3-6 months (n = 265), 1 (n = 436) and 3 years (n = 506) in a total of 657 mother-child pairs participating in the Vitamin D Antenatal Asthma Reduction Trial. We used clinical data from birth to age 6 years to characterize subjects with asthma as having early, transient or active asthma phenotypes. In addition to identifying specific genera that were robustly associated with asthma phenotypes in multiple covariate-adjusted models, we clustered subjects by their longitudinal microbiome composition and sought associations between fecal metabolites and relevant microbiome and clinical features. RESULTS Seven maternal and two infant fecal microbial taxa were robustly associated with at least one asthma phenotype, and a longitudinal gut microenvironment profile was associated with early asthma (Fisher exact test p = .03). Though mode of delivery was not directly associated with asthma, we found substantial evidence for a pathway whereby cesarean section reduces fecal Bacteroides and microbial sphingolipids, increasing susceptibility to early asthma. CONCLUSION Overall, our results suggest that the early-life, including prenatal, fecal microbiome modifies risk of asthma, especially asthma with onset by age 3 years.
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Affiliation(s)
- Kathleen A. Lee-Sarwar
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Allergy and Clinical Immunology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Yih-Chieh Chen
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Allergy and Clinical Immunology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Yuan Yao Chen
- Department of Pediatrics, University of Alberta, Edmonton, AB, Canada
| | | | - Piush J. Mandhane
- Department of Pediatrics, University of Alberta, Edmonton, AB, Canada
| | - Stuart E. Turvey
- Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Padmaja Subbarao
- Department of Pediatrics & Physiology, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Hans Bisgaard
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark
| | - Jakob Stokholm
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark
| | - Bo Chawes
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark
| | - Søren J. Sørensen
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte, Denmark
| | - Rachel S. Kelly
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Robert S. Zeiger
- Department of Clinical Science Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA
| | - George T. O’Connor
- Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Megan T. Sandel
- Department of Pediatrics, Boston Medical Center, Boston, MA, USA
| | - Leonard B. Bacharier
- Division of Pediatric Allergy, Immunology and Pulmonary Medicine, Department of Pediatrics, Monroe Carell Jr Children’s Hospital at Vanderbilt University Medical Center, Nashville, TN, USA
| | - Avraham Beigelman
- Division of Pediatric Allergy, Immunology and Pulmonary Medicine, Department of Pediatrics, Washington University School of Medicine, St Louis, MO and St Louis Children’s Hospital, St Louis, MO, USA
- The Kipper Institute of Allergy and Immunology, Schneider Children’s Medical Center of Israel, Tel Aviv University, Israel
| | - Vincent J. Carey
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Benjamin J. Harshfield
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Nancy Laranjo
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Diane R. Gold
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Scott T. Weiss
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Augusto A. Litonjua
- Division of Pediatric Pulmonary Medicine, Golisano Children’s Hospital at Strong, University of Rochester Medical Center, Rochester, NY, USA
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Dapas M, Thompson EE, Wentworth-Sheilds W, Clay S, Visness CM, Calatroni A, Sordillo JE, Gold DR, Wood RA, Makhija M, Khurana Hershey GK, Sherenian MG, Gruchalla RS, Gill MA, Liu AH, Kim H, Kattan M, Bacharier LB, Rastogi D, Altman MC, Busse WW, Becker PM, Nicolae D, O’Connor GT, Gern JE, Jackson DJ, Ober C. Multi-omic association study identifies DNA methylation-mediated genotype and smoking exposure effects on lung function in children living in urban settings. PLoS Genet 2023; 19:e1010594. [PMID: 36638096 PMCID: PMC9879483 DOI: 10.1371/journal.pgen.1010594] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 01/26/2023] [Accepted: 12/23/2022] [Indexed: 01/14/2023] Open
Abstract
Impaired lung function in early life is associated with the subsequent development of chronic respiratory disease. Most genetic associations with lung function have been identified in adults of European descent and therefore may not represent those most relevant to pediatric populations and populations of different ancestries. In this study, we performed genome-wide association analyses of lung function in a multiethnic cohort of children (n = 1,035) living in low-income urban neighborhoods. We identified one novel locus at the TDRD9 gene in chromosome 14q32.33 associated with percent predicted forced expiratory volume in one second (FEV1) (p = 2.4x10-9; βz = -0.31, 95% CI = -0.41- -0.21). Mendelian randomization and mediation analyses revealed that this genetic effect on FEV1 was partially mediated by DNA methylation levels at this locus in airway epithelial cells, which were also associated with environmental tobacco smoke exposure (p = 0.015). Promoter-enhancer interactions in airway epithelial cells revealed chromatin interaction loops between FEV1-associated variants in TDRD9 and the promoter region of the PPP1R13B gene, a stimulator of p53-mediated apoptosis. Expression of PPP1R13B in airway epithelial cells was significantly associated the FEV1 risk alleles (p = 1.3x10-5; β = 0.12, 95% CI = 0.06-0.17). These combined results highlight a potential novel mechanism for reduced lung function in urban youth resulting from both genetics and smoking exposure.
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Affiliation(s)
- Matthew Dapas
- Department of Human Genetics, University of Chicago, Chicago Illinois, United States of America
| | - Emma E. Thompson
- Department of Human Genetics, University of Chicago, Chicago Illinois, United States of America
| | | | - Selene Clay
- Department of Human Genetics, University of Chicago, Chicago Illinois, United States of America
| | | | | | - Joanne E. Sordillo
- Department of Population Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Diane R. Gold
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Robert A. Wood
- Department of Pediatrics, Johns Hopkins University Medical Center, Baltimore, Maryland, United States of America
| | - Melanie Makhija
- Division of Allergy and Immunology, Ann & Robert H. Lurie Children’s Hospital, Chicago, Illinois, United States of America
| | - Gurjit K. Khurana Hershey
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America
- Division of Asthma Research, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, United States of America
| | - Michael G. Sherenian
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America
- Division of Asthma Research, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, United States of America
| | - Rebecca S. Gruchalla
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
| | - Michelle A. Gill
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Andrew H. Liu
- Department of Allergy and Immunology, Children’s Hospital Colorado, University of Colorado School of Medicine, Aurora, Colorado, United States of America
| | - Haejin Kim
- Department of Medicine, Henry Ford Health System, Detroit, Michigan, United States of America
| | - Meyer Kattan
- Columbia University College of Physicians and Surgeons, New York, New York, United States of America
| | - Leonard B. Bacharier
- Monroe Carell Jr. Children’s Hospital at Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Deepa Rastogi
- Children’s National Health System, Washington, District of Columbia, United States of America
| | - Matthew C. Altman
- Department of Allergy and Infectious Diseases, University of Washington, Seattle, Washington, United States of America
| | - William W. Busse
- Department of Pediatrics and Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States of America
| | - Patrice M. Becker
- National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, United States of America
| | - Dan Nicolae
- Department of Statistics, University of Chicago, Chicago, Illinois, United States of America
| | - George T. O’Connor
- Pulmonary Center, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - James E. Gern
- Department of Pediatrics and Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States of America
| | - Daniel J. Jackson
- Department of Pediatrics and Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States of America
| | - Carole Ober
- Department of Human Genetics, University of Chicago, Chicago Illinois, United States of America
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9
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Chung J, Vig V, Sun X, Han X, O’Connor GT, Chen X, DeAngelis MM, Farrer LA, Subramanian ML. Genome-Wide Pleiotropy Study Identifies Association of PDGFB with Age-Related Macular Degeneration and COVID-19 Infection Outcomes. J Clin Med 2022; 12:jcm12010109. [PMID: 36614910 PMCID: PMC9821609 DOI: 10.3390/jcm12010109] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 12/16/2022] [Indexed: 12/25/2022] Open
Abstract
Age-related macular degeneration (AMD) has been implicated as a risk factor for severe consequences from COVID-19. We evaluated the genetic architecture shared between AMD and COVID-19 (critical illness, hospitalization, and infections) using analyses of genetic correlations and pleiotropy (i.e., cross-phenotype meta-analysis) of AMD (n = 33,976) and COVID-19 (n ≥ 1,388,342) and subsequent analyses including expression quantitative trait locus (eQTL), differential gene expression, and Mendelian randomization (MR). We observed a significant genetic correlation between AMD and COVID-19 infection (rG = 0.10, p = 0.02) and identified novel genome-wide significant associations near PDGFB (best SNP: rs130651; p = 2.4 × 10-8) in the pleiotropy analysis of the two diseases. The disease-risk allele of rs130651 was significantly associated with increased gene expression levels of PDGFB in multiple tissues (best eQTL p = 1.8 × 10-11 in whole blood) and immune cells (best eQTL p = 7.1 × 10-20 in T-cells). PDGFB expression was observed to be higher in AMD cases than AMD controls {fold change (FC) = 1.02; p = 0.067}, as well as in the peak COVID-19 symptom stage (11-20 days after the symptom onset) compared to early/progressive stage (0-10 days) among COVID-19 patients over age 40 (FC = 2.17; p = 0.03) and age 50 (FC = 2.15; p = 0.04). Our MR analysis found that the liability of AMD risk derived from complement system dysfunction {OR (95% CI); hospitalization = 1.02 (1.01-1.03), infection = 1.02 (1.01-1.03) and increased levels of serum cytokine PDGF-BB {β (95% CI); critical illness = 0.07 (0.02-0.11)} are significantly associated with COVID-19 outcomes. Our study demonstrated that the liability of AMD is associated with an increased risk of COVID-19, and PDGFB may be responsible for the severe COVID-19 outcomes among AMD patients.
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Affiliation(s)
- Jaeyoon Chung
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Viha Vig
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Xinyu Sun
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Xudong Han
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - George T. O’Connor
- Department of Medicine (Pulmonary & Critical Care), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Xuejing Chen
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Margaret M. DeAngelis
- Department of Population Health Sciences and Department of Ophthalmology and Visual Sciences, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
- Department of Ophthalmology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo and VA Research Service, Veterans Affairs Western New York Healthcare System, Buffalo, NY 14203, USA
| | - Lindsay A. Farrer
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Departments of Epidemiology and Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- Correspondence: (L.A.F.); (M.L.S.); Tel.: +1-617-358-3550 (L.A.F.); +1-617-414-2020 (M.L.S.)
| | - Manju L. Subramanian
- Department of Medicine (Pulmonary & Critical Care), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Correspondence: (L.A.F.); (M.L.S.); Tel.: +1-617-358-3550 (L.A.F.); +1-617-414-2020 (M.L.S.)
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10
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Jiang W, Joehanes R, Levy D, O’Connor GT, Dupuis J. Assisted clustering of gene expression data using regulatory data from partially overlapping sets of individuals. BMC Genomics 2022; 23:819. [PMID: 36496393 PMCID: PMC9734806 DOI: 10.1186/s12864-022-09026-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 11/18/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND As omics measurements profiled on different molecular layers are interconnected, integrative approaches that incorporate the regulatory effect from multi-level omics data are needed. When the multi-level omics data are from the same individuals, gene expression (GE) clusters can be identified using information from regulators like genetic variants and DNA methylation. When the multi-level omics data are from different individuals, the choice of integration approaches is limited. METHODS We developed an approach to improve GE clustering from microarray data by integrating regulatory data from different but partially overlapping sets of individuals. We achieve this through (1) decomposing gene expression into the regulated component and the other component that is not regulated by measured factors, (2) optimizing the clustering goodness-of-fit objective function. We do not require the availability of different omics measurements on all individuals. A certain amount of individual overlap between GE data and the regulatory data is adequate for modeling the regulation, thus improving GE clustering. RESULTS A simulation study shows that the performance of the proposed approach depends on the strength of the GE-regulator relationship, degree of missingness, data dimensionality, sample size, and the number of clusters. Across the various simulation settings, the proposed method shows competitive performance in terms of accuracy compared to the alternative K-means clustering method, especially when the clustering structure is due mostly to the regulated component, rather than the unregulated component. We further validate the approach with an application to 8,902 Framingham Heart Study participants with data on up to 17,873 genes and regulation information of DNA methylation and genotype from different but partially overlapping sets of participants. We identify clustering structures of genes associated with pulmonary function while incorporating the predicted regulation effect from the measured regulators. We further investigate the over-representation of these GE clusters in pathways of other diseases that may be related to lung function and respiratory health. CONCLUSION We propose a novel approach for clustering GE with the assistance of regulatory data that allowed for different but partially overlapping sets of individuals to be included in different omics data.
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Affiliation(s)
- Wenqing Jiang
- grid.189504.10000 0004 1936 7558Department of Biostatistics, Boston University School of Public Health, MA Boston, USA
| | - Roby Joehanes
- grid.510954.c0000 0004 0444 3861National Heart, Lung, and Blood Institute’s Framingham Heart Study, MA Framingham, USA
| | - Daniel Levy
- grid.510954.c0000 0004 0444 3861National Heart, Lung, and Blood Institute’s Framingham Heart Study, MA Framingham, USA ,grid.94365.3d0000 0001 2297 5165The Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, MD Bethesda, USA
| | - George T O’Connor
- grid.189504.10000 0004 1936 7558Department of Medicine, Pulmonary Center, Boston University, MA Boston, USA
| | - Josée Dupuis
- grid.189504.10000 0004 1936 7558Department of Biostatistics, Boston University School of Public Health, MA Boston, USA
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11
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Zhang J, Xu H, Qiao D, DeMeo DL, Silverman EK, O’Connor GT, Hobbs BD, Dupuis J, Cho MH, Moll M. A polygenic risk score and age of diagnosis of COPD. Eur Respir J 2022; 60:2101954. [PMID: 35115341 PMCID: PMC9969342 DOI: 10.1183/13993003.01954-2021] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 01/14/2022] [Indexed: 01/19/2023]
Abstract
BACKGROUND Genetic susceptibility may be associated with earlier onset of chronic obstructive pulmonary disease (COPD). We hypothesised that a polygenic risk score (PRS) for COPD would be associated with earlier age of diagnosis of COPD. METHODS In 6647 non-Hispanic White (NHW) and 2464 African American (AA) participants from COPDGene, and 6812 participants from the Framingham Heart Study (FHS), we tested the relationship of the PRS and age of COPD diagnosis. Age at diagnosis was determined by: 1) self-reported age at COPD diagnosis or 2) age at visits when moderate-to-severe airflow limitation (Global Initiative for Chronic Obstructive Lung Disease (GOLD) grade 2-4) was observed on spirometry. We used Cox regression to examine the overall and time-dependent effects of the PRS on incident COPD. In the COPDGene study, we also examined the PRS's predictive value for COPD at age <50 years (COPD50) using logistic regression and area under the curve (AUC) analyses, with and without the addition of other risk factors present at early life (e.g. childhood asthma). RESULTS In Cox models, the PRS demonstrated age-dependent associations with incident COPD, with larger effects at younger ages in both cohorts. The PRS was associated with COPD50 (OR 1.55 (95% CI 1.41-1.71) for NHW, OR 1.23 (95% CI 1.05-1.43) for AA and OR 2.47 (95% CI 2.12-2.88) for FHS participants). In COPDGene, adding the PRS to known early-life risk factors improved prediction of COPD50 in NHW (AUC 0.69 versus 0.74; p<0.0001) and AA (AUC 0.61 versus 0.64; p=0.04) participants. CONCLUSIONS A COPD PRS is associated with earlier age of diagnosis of COPD and retains predictive value when added to known early-life risk factors.
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Affiliation(s)
- Jingzhou Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- The Pulmonary Center, Section of Pulmonary, Allergy, Sleep, and Critical Care Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118
| | - Hanfei Xu
- Department of Biostatistics, Boston University School of Public Health, MA 02118
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
| | - Dawn L. DeMeo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115
| | - George T. O’Connor
- The Pulmonary Center, Section of Pulmonary, Allergy, Sleep, and Critical Care Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118
| | - Brian D. Hobbs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, MA 02118
| | - Michael H. Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115
| | - Matthew Moll
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115
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Fulkerson PC, Lussier SJ, Bendixsen CG, Castina SM, Gebretsadik T, Marlin JS, Russell PB, Seibold MA, Everman JL, Moore CM, Snyder BM, Thompson K, Tregoning GS, Wellford S, Arbes SJ, Bacharier LB, Calatroni A, Camargo CA, Dupont WD, Furuta GT, Gruchalla RS, Gupta RS, Hershey GK, Jackson DJ, Johnson CC, Kattan M, Liu AH, Murrison L, O’Connor GT, Phipatanakul W, Rivera-Spoljaric K, Rothenberg ME, Seroogy CM, Teach SJ, Zoratti EM, Togias A, Hartert TV. Human Epidemiology and RespOnse to SARS-CoV-2 (HEROS): Objectives, Design and Enrollment Results of a 12-City Remote Observational Surveillance Study of Households with Children using Direct-to-Participant Methods. medRxiv 2022:2022.07.09.22277457. [PMID: 35860216 PMCID: PMC9298141 DOI: 10.1101/2022.07.09.22277457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The Human Epidemiology and Response to SARS-CoV-2 (HEROS) is a prospective multi-city 6-month incidence study which was conducted from May 2020-February 2021. The objectives were to identify risk factors for SARS-CoV-2 infection and household transmission among children and people with asthma and allergic diseases, and to use the host nasal transcriptome sampled longitudinally to understand infection risk and sequelae at the molecular level. To overcome challenges of clinical study implementation due to the coronavirus pandemic, this surveillance study used direct-to-participant methods to remotely enroll and prospectively follow eligible children who are participants in other NIH-funded pediatric research studies and their household members. Households participated in weekly surveys and biweekly nasal sampling regardless of symptoms. The aim of this report is to widely share the methods and study instruments and to describe the rationale, design, execution, logistics and characteristics of a large, observational, household-based, remote cohort study of SARS-CoV-2 infection and transmission in households with children. The study enrolled a total of 5,598 individuals, including 1,913 principal participants (children), 1,913 primary caregivers, 729 secondary caregivers and 1,043 other household children. This study was successfully implemented without necessitating any in-person research visits and provides an approach for rapid execution of clinical research.
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Affiliation(s)
| | | | - Casper G. Bendixsen
- Marshfield Clinic Research Institute, Marshfield Clinic Health System, Marshfield, WI, USA
| | | | - Tebeb Gebretsadik
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jessica S. Marlin
- Vanderbilt Coordinating Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Patty B. Russell
- Department of Medicine, Center for Asthma Research, Vanderbilt University Medical Center, Nashville, TN, 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
| | - Jamie L. Everman
- Center for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA
| | - Camille M. Moore
- Center for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA
- Department of Biomedical Research, National Jewish Health; Denver, CO, USA
- Department of Biostatistics and Informatics, University of Colorado; Denver, CO, USA
| | - Brittney M. Snyder
- Department of Medicine, Center for Asthma Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kathy Thompson
- National Institute of Allergy and Infectious Diseases, Rockville, MD, USA
| | - George S. Tregoning
- Vanderbilt Coordinating Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | - Leonard B. Bacharier
- Department of Medicine, Center for Asthma Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Carlos A. Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - William D. Dupont
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Glenn T. Furuta
- Digestive Health Institute, Children’s Hospital Colorado and Section of Pediatric Gastroenterology, Hepatology and Nutrition, Gastrointestinal Eosinophilic Diseases Program, University of Colorado School of Medicine, Aurora, CO, USA
| | | | - Ruchi S. Gupta
- Ann & Robert H. Lurie Hospital of Chicago & Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Gurjit Khurana Hershey
- Division of Asthma Research, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Daniel J. Jackson
- University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | | | - Meyer Kattan
- Columbia University Medical Center, New York, NY, USA
| | - Andrew H. Liu
- Breathing Institute, Children’s Hospital Colorado and Section of Pediatric Pulmonary & Sleep Medicine, University of Colorado School of Medicine, Aurora CO, USA
| | - Liza Murrison
- Division of Asthma Research, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | | | | | | | - Marc E. Rothenberg
- Division of Allergy and Immunology, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | | | | | | | - Alkis Togias
- National Institute of Allergy and Infectious Diseases, Rockville, MD, USA
| | - Tina V. Hartert
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Asthma Research, Vanderbilt University Medical Center, Nashville, TN, USA
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Eckhardt CM, Balte PP, Barr RG, Bertoni AG, Bhatt SP, Cuttica M, Cassano PA, Chaves P, Couper D, Jacobs DR, Kalhan R, Kronmal R, Lange L, Loehr L, London SJ, O’Connor GT, Rosamond W, Sanders J, Schwartz JE, Shah A, Shah SJ, Smith L, White W, Yende S, Oelsner EC. Lung function impairment and risk of incident heart failure: the NHLBI Pooled Cohorts Study. Eur Heart J 2022; 43:2196-2208. [PMID: 35467708 PMCID: PMC9631233 DOI: 10.1093/eurheartj/ehac205] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 02/06/2022] [Accepted: 03/22/2022] [Indexed: 12/16/2022] Open
Abstract
AIMS The aim is to evaluate associations of lung function impairment with risk of incident heart failure (HF). METHODS AND RESULTS Data were pooled across eight US population-based cohorts that enrolled participants from 1987 to 2004. Participants with self-reported baseline cardiovascular disease were excluded. Spirometry was used to define obstructive [forced expiratory volume in 1 s/forced vital capacity (FEV1/FVC) <0.70] or restrictive (FEV1/FVC ≥0.70, FVC <80%) lung physiology. The incident HF was defined as hospitalization or death caused by HF. In a sub-set, HF events were sub-classified as HF with reduced ejection fraction (HFrEF; EF <50%) or preserved EF (HFpEF; EF ≥50%). The Fine-Gray proportional sub-distribution hazards models were adjusted for sociodemographic factors, smoking, and cardiovascular risk factors. In models of incident HF sub-types, HFrEF, HFpEF, and non-HF mortality were treated as competing risks. Among 31 677 adults, there were 3344 incident HF events over a median follow-up of 21.0 years. Of 2066 classifiable HF events, 1030 were classified as HFrEF and 1036 as HFpEF. Obstructive [adjusted hazard ratio (HR) 1.17, 95% confidence interval (CI) 1.07-1.27] and restrictive physiology (adjusted HR 1.43, 95% CI 1.27-1.62) were associated with incident HF. Obstructive and restrictive ventilatory defects were associated with HFpEF but not HFrEF. The magnitude of the association between restrictive physiology and HFpEF was similar to associations with hypertension, diabetes, and smoking. CONCLUSION Lung function impairment was associated with increased risk of incident HF, and particularly incident HFpEF, independent of and to a similar extent as major known cardiovascular risk factors.
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Affiliation(s)
- Christina M Eckhardt
- Department of Medicine, Columbia University College of Physicians and Surgeons, 630 West 168th Street, Presbyterian Hospital 9th Floor, Suite 105, New York, NY 10032, USA
| | - Pallavi P Balte
- Department of Medicine, Columbia University College of Physicians and Surgeons, 630 West 168th Street, Presbyterian Hospital 9th Floor, Suite 105, New York, NY 10032, USA
| | - Robert Graham Barr
- Department of Medicine, Columbia University College of Physicians and Surgeons, 630 West 168th Street, Presbyterian Hospital 9th Floor, Suite 105, New York, NY 10032, USA
| | - Alain G Bertoni
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Surya P Bhatt
- Division of Pulmonary, University of Alabama at Birmingham, Allergy and Critical Care Medicine, Birmingham, AL, USA
| | - Michael Cuttica
- Department of Medicine, Northwestern University, Chicago, IL, USA
| | - Patricia A Cassano
- Division of Nutritional Sciences, Cornell University, College of Human Ecology, Cornell, NY, USA
| | - Paolo Chaves
- Department of Health and Society, Florida International University, Miami, FL, USA
| | - David Couper
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, University of Minnesota, School of Public Health, Minneapolis, MN, USA
| | - Ravi Kalhan
- Department of Medicine, Northwestern University, Chicago, IL, USA
| | - Richard Kronmal
- Department of Statistics, University of Washington, School of Public Health, Seattle, WA, USA
| | - Leslie Lange
- Department of Medicine, University of Colorado, Denver, CO, USA
| | - Laura Loehr
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Stephanie J London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | | | - Wayne Rosamond
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Jason Sanders
- Division of Pulmonary Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Joseph E Schwartz
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Amil Shah
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Sanjiv J Shah
- Department of Medicine, Northwestern University, Chicago, IL, USA
| | - Lewis Smith
- Department of Medicine, Northwestern University, Chicago, IL, USA
| | - Wendy White
- Undergraduate Training and Education Center, Tougaloo College, Jackson Heart Study, Jackson, MS, USA
| | - Sachin Yende
- Department of Critical Care Medicine, Veterans Affairs Pittsburgh Healthcare System and University of Pittsburgh, Pittsburgh, PA, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University College of Physicians and Surgeons, 630 West 168th Street, Presbyterian Hospital 9th Floor, Suite 105, New York, NY 10032, USA
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14
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McNeill JN, Lee DH, Hwang SJ, Courchesne P, Yao C, Huan T, Joehanes R, O’Connor GT, Ho JE, Levy D. Association of 71 cardiovascular disease-related plasma proteins with pulmonary function in the community. PLoS One 2022; 17:e0266523. [PMID: 35390066 PMCID: PMC8989231 DOI: 10.1371/journal.pone.0266523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 03/22/2022] [Indexed: 11/19/2022] Open
Abstract
RATIONALE It has been speculated that shared mechanisms underlie respiratory and cardiovascular diseases (CVD) including systemic inflammation or mutual risk factors. In this context, we sought to examine the associations of CVD-related plasma proteins with lung function as measured by spirometry in a large community-based cohort of adults. METHODS The study included 5777 Framingham Heart Study participants who had spirometry and measurement of 71 CVD-related plasma proteins. The association of plasma proteins with lung function was assessed cross-sectionally and longitudinally using models accounting for familial correlations. Linear mixed models were used for the following measurements: FEV1%predicted, FVC%predicted, and FEV1/FVC ratio with secondary analyses examining obstructive and restrictive physiology at baseline and their new onset during follow up. MEASUREMENTS AND MAIN RESULTS Among the 71 CVD-related plasma proteins, 13 proteins were associated in cross-sectional analyses with FEV1%predicted, 17 proteins were associated with FVC%predicted, and 1 protein was associated with FEV1/FVC. The proteins with the greatest inverse relations to FEV1%predicted and FVC%predicted included leptin, adrenomedullin, and plasminogen activator inhibitor-1; in contrast there were three proteins with positive relations to FEV1%predicted and FVC%predicted including insulin growth factor binding protein 2, tetranectin, and soluble receptor for advanced glycation end products. In longitudinal analyses, three proteins were associated with longitudinal change in FEV1 (ΔFEV1) and four with ΔFVC; no proteins were associated with ΔFEV1/FVC. CONCLUSION Our findings highlight CVD-related plasma proteins that are associated with lung function including markers of inflammation, adiposity, and fibrosis, representing proteins that may contribute both to respiratory and CVD risk.
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Affiliation(s)
- Jenna N. McNeill
- Division of Pulmonary and Critical Care, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Dong Heon Lee
- The Framingham Heart Study, Framingham, Massachusetts, and the Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Shih-Jen Hwang
- The Framingham Heart Study, Framingham, Massachusetts, and the Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Paul Courchesne
- The Framingham Heart Study, Framingham, Massachusetts, and the Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Chen Yao
- The Framingham Heart Study, Framingham, Massachusetts, and the Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Tianxiao Huan
- The Framingham Heart Study, Framingham, Massachusetts, and the Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Roby Joehanes
- The Framingham Heart Study, Framingham, Massachusetts, and the Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - George T. O’Connor
- Pulmonary Center, Boston University, Boston, Massachusetts, United States of America
| | - Jennifer E. Ho
- Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - Daniel Levy
- The Framingham Heart Study, Framingham, Massachusetts, and the Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America
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15
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Baril AA, Beiser AS, Sanchez E, Mysliwiec V, Redline S, Gottlieb DJ, O’Connor GT, Gonzales MM, Himali D, Seshadri S, Himali JJ, Pase MP. Insomnia symptom severity and cognitive performance: Moderating role of APOE genotype. Alzheimers Dement 2022; 18:408-421. [PMID: 34310026 PMCID: PMC8802306 DOI: 10.1002/alz.12405] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 04/13/2021] [Accepted: 05/12/2021] [Indexed: 11/11/2022]
Abstract
INTRODUCTION We evaluated whether insomnia symptom severity was associated with cognitive function, and whether this relationship was modified by biomarkers associated with Alzheimer's disease risk. METHODS We examined insomnia symptoms and neuropsychological performance 3.4 years later in 511 dementia-free Framingham Heart Study participants (62.65 ± 8.7 years, 50.9% male). Additionally, we explored insomnia symptoms combined with self-reported short habitual sleep duration and effect modification by apolipoprotein E (APOE) ε4 allele status. RESULTS More severe insomnia symptoms were associated with lower performance on global cognition, and immediate and delayed Logical Memory recall, especially when insomnia symptoms were combined with short sleep duration. The association between insomnia symptoms and poorer memory recall was more pronounced in APOE ε4 allele carriers. DISCUSSION Insomnia symptom severity was associated with worse subsequent global cognitive and memory performance, which was especially apparent in APOE ε4 allele carriers, suggesting that poor sleep might be particularly detrimental when the brain is already vulnerable to neurodegeneration.
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Affiliation(s)
- Andrée-Ann Baril
- The Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Alexa S. Beiser
- The Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Erlan Sanchez
- Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de MontréalCIUSSS-NIM, Montreal, Québec, Canada
- Department of Neuroscience, Université de Montréal, Montreal, Québec, Canada
| | - Vincent Mysliwiec
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative DiseasesUniversity of Texas Health Sciences Center, San Antonio, Texas, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham & Women’s Hospital, Boston, Massachusetts, USA
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Daniel J. Gottlieb
- Division of Sleep and Circadian Disorders, Brigham & Women’s Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
- VA Boston Healthcare System, Boston, Massachusetts, USA
| | - George T. O’Connor
- The Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Mitzi M. Gonzales
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative DiseasesUniversity of Texas Health Sciences Center, San Antonio, Texas, USA
| | - Dibya Himali
- The Framingham Heart Study, Framingham, Massachusetts, USA
| | - Sudha Seshadri
- The Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative DiseasesUniversity of Texas Health Sciences Center, San Antonio, Texas, USA
| | - Jayandra J. Himali
- The Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative DiseasesUniversity of Texas Health Sciences Center, San Antonio, Texas, USA
- Department of Population Health Sciences, University of Texas Health Science Center, San Antonio, Texas, USA
| | - Matthew P. Pase
- The Framingham Heart Study, Framingham, Massachusetts, USA
- School of Psychological Sciences, Turner Institute for Brain and Mental Health Monash University, Clayton, VIC, Australia
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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Trethewey RE, Spartano NL, Vasan RS, Larson MG, O’Connor GT, Esliger DW, Petherick ES, Steiner MC. Body mass index across adulthood and the development of airflow obstruction and emphysema. Chron Respir Dis 2022; 19:14799731221139294. [DOI: 10.1177/14799731221139294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Background Low body mass index (BMI) is associated with COPD, but temporal relationships between airflow obstruction (AO) development and emphysematous change are unclear. We investigated longitudinal changes in BMI, AO, and lung density throughout adulthood using data from the Framingham Offspring Cohort (FOC). Methods BMI trajectories were modelled throughout adulthood in 4587 FOC participants from Exam 2 (mean age = 44), through Exam 9 (mean age = 71), in AO participants and non-AO participants (AO n = 1036), determined by spirometry, using fractional polynomial growth curves. This process was repeated for low lung density (LLD) and non LLD participants (LLD n = 225) determined by Computed Tomography. Spirometry decline was compared separately between tertiles of BMI in those aged <40 years and associations between fat and lean mass (measured using Dual Energy X-ray Absorptiometry, DEXA) and development of AO and LLD were also assessed. Additional analyses were performed with adjustment for smoking volume. Results The BMI trajectory from 30 years of age was visually lower in the AO group than both non-AO smokers (non-<AO-S) and non-AO non-smokers (non-AO-N). Similarly, BMI trajectories were visually lower in participants with LLD throughout adulthood compared to normal lung density smokers and non-smokers. Differences remained after adjustment for smoking volume. The lowest BMI tertile in ages <40 years was associated with the steepest subsequent decline in FEV1/FVC ratio in both sexes. Conclusion Mean BMI is lower throughout adulthood in AO and LLD participants. Lower BMI is associated with a steeper decline in the ratio of FEV1/FVC. These findings suggest body mass may precede and potentially have a role in the development of COPD lung pathophysiology.
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Affiliation(s)
- Ruth E Trethewey
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, UK
| | - Nicole L Spartano
- Lung and Blood Institute’s Framingham Heart Study, Boston University and National Heart, Framingham, MA, USA
| | - Ramachandran S Vasan
- Lung and Blood Institute’s Framingham Heart Study, Boston University and National Heart, Framingham, MA, USA
| | - Martin G Larson
- Lung and Blood Institute’s Framingham Heart Study, Boston University and National Heart, Framingham, MA, USA
| | - George T O’Connor
- Lung and Blood Institute’s Framingham Heart Study, Boston University and National Heart, Framingham, MA, USA
| | - Dale W Esliger
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, UK
| | - Emily S Petherick
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, UK
| | - Michael C Steiner
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, UK
- Centre for Exercise and Rehabilitation Services, Leicester, UK
- NIHR Leicester Biomedical Research Centre––Respiratory, University of Leicester, Leicester, UK
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17
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Wan ES, Balte P, Schwartz JE, Bhatt SP, Cassano PA, Couper D, Daviglus ML, Dransfield MT, Gharib SA, Jacobs DR, Kalhan R, London SJ, Acien AN, O’Connor GT, Sanders JL, Smith BM, White W, Yende S, Oelsner EC. Association Between Preserved Ratio Impaired Spirometry and Clinical Outcomes in US Adults. JAMA 2021; 326:2287-2298. [PMID: 34905031 PMCID: PMC8672237 DOI: 10.1001/jama.2021.20939] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 11/03/2021] [Indexed: 11/14/2022]
Abstract
Importance Chronic lung diseases are a leading cause of morbidity and mortality. Unlike chronic obstructive pulmonary disease, clinical outcomes associated with proportional reductions in expiratory lung volumes without obstruction, otherwise known as preserved ratio impaired spirometry (PRISm), are poorly understood. Objective To examine the prevalence, correlates, and clinical outcomes associated with PRISm in US adults. Design, Setting, and Participants The National Heart, Lung, and Blood Institute (NHLBI) Pooled Cohorts Study was a retrospective study with harmonized pooled data from 9 US general population-based cohorts (enrollment, 65 251 participants aged 18 to 102 years of whom 53 701 participants had valid baseline lung function) conducted from 1971-2011 (final follow-up, December 2018). Exposures Participants were categorized into mutually exclusive groups by baseline lung function. PRISm was defined as the ratio of forced expiratory volume in the first second to forced vital capacity (FEV1:FVC) greater than or equal to 0.70 and FEV1 less than 80% predicted; obstructive spirometry FEV1:FVC ratio of less than 0.70; and normal spirometry FEV1:FVC ratio greater than or equal to 0.7 and FEV1 greater than or equal to 80% predicted. Main Outcomes and Measures Main outcomes were all-cause mortality, respiratory-related mortality, coronary heart disease (CHD)-related mortality, respiratory-related events (hospitalizations and mortality), and CHD-related events (hospitalizations and mortality) classified by adjudication or validated administrative criteria. Absolute risks were adjusted for age and smoking status. Poisson and Cox proportional hazards models comparing PRISm vs normal spirometry were adjusted for age, sex, race and ethnicity, education, body mass index, smoking status, cohort, and comorbidities. Results Among all participants (mean [SD] age, 53.2 [15.8] years, 56.4% women, 48.5% never-smokers), 4582 (8.5%) had PRISm. The presence of PRISm relative to normal spirometry was significantly associated with obesity (prevalence, 48.3% vs 31.4%; prevalence ratio [PR], 1.68 [95% CI, 1.55-1.82]), underweight (prevalence, 1.4% vs 1.0%; PR, 2.20 [95% CI, 1.72-2.82]), female sex (prevalence, 60.3% vs 59.0%; PR, 1.07 [95% CI, 1.01-1.13]), and current smoking (prevalence, 25.2% vs 17.5%; PR, 1.33 [95% CI, 1.22-1.45]). PRISm, compared with normal spirometry, was significantly associated with greater all-cause mortality (29.6/1000 person-years vs 18.0/1000 person-years; difference, 11.6/1000 person-years [95% CI, 10.0-13.1]; adjusted hazard ratio [HR], 1.50 [95% CI, 1.42-1.59]), respiratory-related mortality (2.1/1000 person-years vs 1.0/1000 person-years; difference, 1.1/1000 person-years [95% CI, 0.7-1.6]; adjusted HR, 1.95 [95% CI, 1.54-2.48]), CHD-related mortality (5.4/1000 person-years vs 2.6/1000 person-years; difference, 2.7/1000 person-years [95% CI, 2.1-3.4]; adjusted HR, 1.55 [95% CI, 1.36-1.77]), respiratory-related events (12.2/1000 person-years vs 6.0/1000 person-years; difference, 6.2/1000 person-years [95% CI, 4.9-7.5]; adjusted HR, 1.90 [95% CI, 1.69-2.14]), and CHD-related events (11.7/1000 person-years vs 7.0/1000 person-years; difference, 4.7/1000 person-years [95% CI, 3.7-5.8]; adjusted HR, 1.30 [95% CI, 1.18-1.42]). Conclusions and Relevance In a large, population-based sample of US adults, baseline PRISm, compared with normal spirometry, was associated with a small but statistically significant increased risk for mortality and adverse cardiovascular and respiratory outcomes. Further research is needed to explore whether this association is causal.
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Affiliation(s)
- Emily S. Wan
- Channing Division of Network Medicine, Brigham & Women’s Hospital, Boston, Massachusetts
- VA Boston Healthcare System, Boston, Massachusetts
| | | | - Joseph E. Schwartz
- Columbia University, New York, New York
- Renaissance School of Medicine at Stony Brook University, Stony Brook, New York
| | | | | | | | - Martha L. Daviglus
- Institute for Minority Health Research, University of Illinois College of Medicine, Chicago
| | | | - Sina A. Gharib
- Computational Medicine Core, Center for Lung Biology, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle
| | | | | | - Stephanie J. London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | | | | | - Jason L. Sanders
- Division of Pulmonary and Critical Care, Brigham and Women’s Hospital, Boston, Massachusetts
| | | | | | - Sachin Yende
- University of Pittsburgh, Pittsburgh, Pennsylvania
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18
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McKennan C, Naughton K, Stanhope C, Kattan M, O’Connor GT, Sandel MT, Visness CM, Wood RA, Bacharier LB, Beigelman A, Lovinsky-Desir S, Togias A, Gern JE, Nicolae D, Ober C. Longitudinal data reveal strong genetic and weak non-genetic components of ethnicity-dependent blood DNA methylation levels. Epigenetics 2021; 16:662-676. [PMID: 32997571 PMCID: PMC8143220 DOI: 10.1080/15592294.2020.1817290] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 07/06/2020] [Accepted: 07/24/2020] [Indexed: 11/18/2022] Open
Abstract
Epigenetic architecture is influenced by genetic and environmental factors, but little is known about their relative contributions or longitudinal dynamics. Here, we studied DNA methylation (DNAm) at over 750,000 CpG sites in mononuclear blood cells collected at birth and age 7 from 196 children of primarily self-reported Black and Hispanic ethnicities to study race-associated DNAm patterns. We developed a novel Bayesian method for high-dimensional longitudinal data and showed that race-associated DNAm patterns at birth and age 7 are nearly identical. Additionally, we estimated that up to 51% of all self-reported race-associated CpGs had race-dependent DNAm levels that were mediated through local genotype and, quite surprisingly, found that genetic factors explained an overwhelming majority of the variation in DNAm levels at other, previously identified, environmentally-associated CpGs. These results indicate that race-associated blood DNAm patterns in particular, and blood DNAm levels in general, are primarily driven by genetic factors, and are not as sensitive to environmental exposures as previously suggested, at least during the first 7 years of life.
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Affiliation(s)
- Chris McKennan
- Department of Statistics, University of Pittsburgh, Pittsburgh, PA, USA
| | | | | | - Meyer Kattan
- Department of Pediatrics, Columbia University Medical Center, New York, NY, USA
| | - George T. O’Connor
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Megan T. Sandel
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | | | - Robert A. Wood
- Department of Pediatrics, Johns Hopkins University Medical Center, Baltimore, MD, USA
| | - Leonard B. Bacharier
- Department of Pediatrics, Washington University School of Medicine and St Louis Children’s Hospital, St. Louis, MO, USA
| | - Avraham Beigelman
- Department of Pediatrics, Washington University School of Medicine and St Louis Children’s Hospital, St. Louis, MO, USA
| | | | - Alkis Togias
- National Institute of Allergy and Infectious Disease, Bethesda, MD, USA
| | - James E. Gern
- Departments of Pediatrics and Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Dan Nicolae
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
- Department of Statistics, University of Chicago, Chicago, IL, USA
| | - Carole Ober
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
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19
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Allen RJ, Guillen-Guio B, Oldham JM, Ma SF, Dressen A, Paynton ML, Kraven LM, Obeidat M, Li X, Ng M, Braybrooke R, Molina-Molina M, Hobbs BD, Putman RK, Sakornsakolpat P, Booth HL, Fahy WA, Hart SP, Hill MR, Hirani N, Hubbard RB, McAnulty RJ, Millar AB, Navaratnam V, Oballa E, Parfrey H, Saini G, Whyte MKB, Zhang Y, Kaminski N, Adegunsoye A, Strek ME, Neighbors M, Sheng XR, Gudmundsson G, Gudnason V, Hatabu H, Lederer DJ, Manichaikul A, Newell JD, O’Connor GT, Ortega VE, Xu H, Fingerlin TE, Bossé Y, Hao K, Joubert P, Nickle DC, Sin DD, Timens W, Furniss D, Morris AP, Zondervan KT, Hall IP, Sayers I, Tobin MD, Maher TM, Cho MH, Hunninghake GM, Schwartz DA, Yaspan BL, Molyneaux PL, Flores C, Noth I, Jenkins RG, Wain LV. Genome-Wide Association Study of Susceptibility to Idiopathic Pulmonary Fibrosis. Am J Respir Crit Care Med 2020; 201:564-574. [PMID: 31710517 PMCID: PMC7047454 DOI: 10.1164/rccm.201905-1017oc] [Citation(s) in RCA: 164] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 11/07/2019] [Indexed: 01/10/2023] Open
Abstract
Rationale: Idiopathic pulmonary fibrosis (IPF) is a complex lung disease characterized by scarring of the lung that is believed to result from an atypical response to injury of the epithelium. Genome-wide association studies have reported signals of association implicating multiple pathways including host defense, telomere maintenance, signaling, and cell-cell adhesion.Objectives: To improve our understanding of factors that increase IPF susceptibility by identifying previously unreported genetic associations.Methods: We conducted genome-wide analyses across three independent studies and meta-analyzed these results to generate the largest genome-wide association study of IPF to date (2,668 IPF cases and 8,591 controls). We performed replication in two independent studies (1,456 IPF cases and 11,874 controls) and functional analyses (including statistical fine-mapping, investigations into gene expression, and testing for enrichment of IPF susceptibility signals in regulatory regions) to determine putatively causal genes. Polygenic risk scores were used to assess the collective effect of variants not reported as associated with IPF.Measurements and Main Results: We identified and replicated three new genome-wide significant (P < 5 × 10-8) signals of association with IPF susceptibility (associated with altered gene expression of KIF15, MAD1L1, and DEPTOR) and confirmed associations at 11 previously reported loci. Polygenic risk score analyses showed that the combined effect of many thousands of as yet unreported IPF susceptibility variants contribute to IPF susceptibility.Conclusions: The observation that decreased DEPTOR expression associates with increased susceptibility to IPF supports recent studies demonstrating the importance of mTOR signaling in lung fibrosis. New signals of association implicating KIF15 and MAD1L1 suggest a possible role of mitotic spindle-assembly genes in IPF susceptibility.
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Affiliation(s)
- Richard J. Allen
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
| | | | - Justin M. Oldham
- Department of Internal Medicine, University of California Davis, Davis, California
| | - Shwu-Fan Ma
- Division of Pulmonary and Critical Care Medicine
| | | | - Megan L. Paynton
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
| | - Luke M. Kraven
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
| | - Ma'en Obeidat
- The University of British Columbia Centre for Heart Lung Innovation, St. Paul’s Hospital, Vancouver, British Columbia, Canada
| | - Xuan Li
- The University of British Columbia Centre for Heart Lung Innovation, St. Paul’s Hospital, Vancouver, British Columbia, Canada
| | - Michael Ng
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences
| | - Rebecca Braybrooke
- Division of Epidemiology and Public Health and
- National Institute for Health Research, Nottingham Biomedical Research Centre and
| | - Maria Molina-Molina
- Servei de Pneumologia, Laboratori de Pneumologia Experimental, Instituto de Investigación Biomédica de Bellvitge (IDIBELL), Barcelona, Spain
- Campus de Bellvitge, Universitat de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Brian D. Hobbs
- Channing Division of Network Medicine
- Division of Pulmonary and Critical Care Medicine
| | | | - Phuwanat Sakornsakolpat
- Channing Division of Network Medicine
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Helen L. Booth
- Department of Thoracic Medicine, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - William A. Fahy
- Discovery Medicine, GlaxoSmithKline, Stevenage, United Kingdom
| | - Simon P. Hart
- Respiratory Research Group, Hull York Medical School, Castle Hill Hospital, Cottingham, United Kingdom
| | - Mike R. Hill
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health
| | - Nik Hirani
- Medical Research Council Centre for Inflammation Research, The University of Edinburgh, Edinburgh, United Kingdom
| | - Richard B. Hubbard
- Division of Epidemiology and Public Health and
- National Institute for Health Research, Nottingham Biomedical Research Centre and
| | - Robin J. McAnulty
- UCL Respiratory Centre for Inflammation and Tissue Repair, University College London, London, United Kingdom
| | - Ann B. Millar
- Academic Respiratory Unit, School of Clinical Sciences, University of Bristol, Bristol, United Kingdom
| | - Vidyia Navaratnam
- Division of Epidemiology and Public Health and
- National Institute for Health Research, Nottingham Biomedical Research Centre and
| | - Eunice Oballa
- Discovery Medicine, GlaxoSmithKline, Stevenage, United Kingdom
| | - Helen Parfrey
- Cambridge Interstitial Lung Disease Service, Royal Papworth Hospital, Cambridge, United Kingdom
| | - Gauri Saini
- Respiratory Medicine, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom
| | - Moira K. B. Whyte
- Medical Research Council Centre for Inflammation Research, The University of Edinburgh, Edinburgh, United Kingdom
| | - Yingze Zhang
- Division of Pulmonary, Allergy and Critical Care Medicine and
- Simmons Center for Interstitial Lung Diseases, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Naftali Kaminski
- Section of Pulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Ayodeji Adegunsoye
- Section of Pulmonary and Critical Care, Department of Medicine, The University of Chicago, Chicago, Illinois
| | - Mary E. Strek
- Section of Pulmonary and Critical Care, Department of Medicine, The University of Chicago, Chicago, Illinois
| | | | | | - Gunnar Gudmundsson
- Department of Respiratory Medicine, Landspital University Hospital, Reykjavik, Iceland
- Faculty of Medicine University of Iceland, Reykjavik, Iceland
| | - Vilmundur Gudnason
- Faculty of Medicine University of Iceland, Reykjavik, Iceland
- Icelandic Heart Association, Kopavogur, Iceland
| | - Hiroto Hatabu
- Department of Radiology, and
- Center for Pulmonary Functional Imaging, Brigham and Women’s Hospital, Boston, Massachusetts
| | - David J. Lederer
- Department of Medicine, College of Physicians and Surgeons and
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Ani Manichaikul
- Center for Public Health Genomics, and
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia
| | - John D. Newell
- Division of Cardiovascular and Pulmonary Imaging, Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa
- Department of Radiology, University of Washington, Seattle, Washington
| | - George T. O’Connor
- Department of Medicine, Pulmonary Center, Boston University, Boston, Massachusetts
- NHLBI’s Framingham Heart Study, Framingham, Massachusetts
| | - Victor E. Ortega
- Center for Precision Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Hanfei Xu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Tasha E. Fingerlin
- Center for Genes, Environment and Health, National Jewish Health, Denver, Colarado
- Department of Biostatistics and Informatics
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Québec, Canada
| | - Ke Hao
- Department of Genetics and Genomic Sciences and
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Philippe Joubert
- Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Québec, Canada
| | - David C. Nickle
- Merck Research Laboratories, Genetics and Pharmacogenomics, Boston, Massachusetts
| | - Don D. Sin
- The University of British Columbia Centre for Heart Lung Innovation, St. Paul’s Hospital, Vancouver, British Columbia, Canada
- Respiratory Division, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Wim Timens
- University Medical Center Groningen, University of Groningen, Department of Pathology and Medical Biology and
- Groningen Research Institute for Asthma and COPD, Groningen, the Netherlands
| | - Dominic Furniss
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences
| | - Andrew P. Morris
- Wellcome Centre for Human Genetics, and
- Department of Biostatistics, University of Liverpool, Liverpool, United Kingdom
- Division of Musculoskeletal and Dermatological Sciences, University of Manchester, Manchester, United Kingdom
| | - Krina T. Zondervan
- Wellcome Centre for Human Genetics, and
- Oxford Endometriosis Care and Research Centre, Nuffield Department of Women’s and Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - Ian P. Hall
- Division of Respiratory Medicine, University of Nottingham, Nottingham, United Kingdom
- National Institute for Health Research, Nottingham Biomedical Research Centre and
| | - Ian Sayers
- Division of Respiratory Medicine, University of Nottingham, Nottingham, United Kingdom
- National Institute for Health Research, Nottingham Biomedical Research Centre and
| | - Martin D. Tobin
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Toby M. Maher
- National Institute for Health Research Respiratory Clinical Research Facility, Royal Brompton Hospital, London, United Kingdom
- National Heart and Lung Institute, Imperial College, London, United Kingdom; and
| | - Michael H. Cho
- Channing Division of Network Medicine
- Division of Pulmonary and Critical Care Medicine
| | - Gary M. Hunninghake
- Division of Pulmonary and Critical Care Medicine
- Center for Pulmonary Functional Imaging, Brigham and Women’s Hospital, Boston, Massachusetts
| | - David A. Schwartz
- Center for Genes, Environment and Health, National Jewish Health, Denver, Colarado
- Department of Medicine, and
- Department of Immunology, University of Colorado Denver, Denver, Colorado
| | | | - Philip L. Molyneaux
- National Institute for Health Research Respiratory Clinical Research Facility, Royal Brompton Hospital, London, United Kingdom
- National Heart and Lung Institute, Imperial College, London, United Kingdom; and
| | - Carlos Flores
- Unidad de Investigacion, Hospital Universitario Ntra. Sra. de Candelaria and
- Instituto de Tecnologías Biomédicas, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
- Instituto Tecnológico y de Energías Renovables, S.A., Santa Cruz de Tenerife, Spain
| | - Imre Noth
- Division of Pulmonary and Critical Care Medicine
| | - R. Gisli Jenkins
- Division of Respiratory Medicine, University of Nottingham, Nottingham, United Kingdom
- National Institute for Health Research, Nottingham Biomedical Research Centre and
| | - Louise V. Wain
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
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20
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Mirzakhani H, Carey VJ, McElrath TF, Hollis BW, O’Connor GT, Zeiger RS, Bacharier L, Litonjua AA, Weiss ST. Maternal Asthma, Preeclampsia, and Risk for Childhood Asthma at Age Six. Am J Respir Crit Care Med 2019; 200:638-642. [PMID: 31059286 PMCID: PMC6727151 DOI: 10.1164/rccm.201901-0081le] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Affiliation(s)
- Hooman Mirzakhani
- Harvard Medical SchoolBoston, Massachusetts
- Brigham and Women’s HospitalBoston, Massachusetts
| | - Vincent J. Carey
- Harvard Medical SchoolBoston, Massachusetts
- Brigham and Women’s HospitalBoston, Massachusetts
| | | | | | | | | | | | | | - Scott T. Weiss
- Harvard Medical SchoolBoston, Massachusetts
- Partners Health CareBoston, Massachusetts
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21
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Bhatt SP, Balte PP, Schwartz JE, Cassano PA, Couper D, Jacobs DR, Kalhan R, O’Connor GT, Yende S, Sanders JL, Umans JG, Dransfield MT, Chaves PH, White WB, Oelsner EC. Discriminative Accuracy of FEV1:FVC Thresholds for COPD-Related Hospitalization and Mortality. JAMA 2019; 321:2438-2447. [PMID: 31237643 PMCID: PMC6593636 DOI: 10.1001/jama.2019.7233] [Citation(s) in RCA: 108] [Impact Index Per Article: 21.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
IMPORTANCE According to numerous current guidelines, the diagnosis of chronic obstructive pulmonary disease (COPD) requires a ratio of the forced expiratory volume in the first second to the forced vital capacity (FEV1:FVC) of less than 0.70, yet this fixed threshold is based on expert opinion and remains controversial. OBJECTIVE To determine the discriminative accuracy of various FEV1:FVC fixed thresholds for predicting COPD-related hospitalization and mortality. DESIGN, SETTING, AND PARTICIPANTS The National Heart, Lung, and Blood Institute (NHLBI) Pooled Cohorts Study harmonized and pooled data from 4 US general population-based cohorts (Atherosclerosis Risk in Communities Study; Cardiovascular Health Study; Health, Aging, and Body Composition Study; and Multi-Ethnic Study of Atherosclerosis). Participants aged 45 to 102 years were enrolled from 1987 to 2000 and received follow-up longitudinally through 2016. EXPOSURES Presence of airflow obstruction, which was defined by a baseline FEV1:FVC less than a range of fixed thresholds (0.75 to 0.65) or less than the lower limit of normal as defined by Global Lung Initiative reference equations (LLN). MAIN OUTCOMES AND MEASURES The primary outcome was a composite of COPD hospitalization and COPD-related mortality, defined by adjudication or administrative criteria. The optimal fixed FEV1:FVC threshold was defined by the best discrimination for these COPD-related events as indexed using the Harrell C statistic from unadjusted Cox proportional hazards models. Differences in C statistics were compared with respect to less than 0.70 and less than LLN thresholds using a nonparametric approach. RESULTS Among 24 207 adults in the pooled cohort (mean [SD] age at enrollment, 63 [10.5] years; 12 990 [54%] women; 16 794 [69%] non-Hispanic white; 15 181 [63%] ever smokers), complete follow-up was available for 11 077 (77%) at 15 years. During a median follow-up of 15 years, 3925 participants experienced COPD-related events over 340 757 person-years of follow-up (incidence density rate, 11.5 per 1000 person-years), including 3563 COPD-related hospitalizations and 447 COPD-related deaths. With respect to discrimination of COPD-related events, the optimal fixed threshold (0.71; C statistic for optimal fixed threshold, 0.696) was not significantly different from the 0.70 threshold (difference, 0.001 [95% CI, -0.002 to 0.004]) but was more accurate than the LLN threshold (difference, 0.034 [95% CI, 0.028 to 0.041]). The 0.70 threshold provided optimal discrimination in the subgroup analysis of ever smokers and in adjusted models. CONCLUSIONS AND RELEVANCE Defining airflow obstruction as FEV1:FVC less than 0.70 provided discrimination of COPD-related hospitalization and mortality that was not significantly different or was more accurate than other fixed thresholds and the LLN. These results support the use of FEV1:FVC less than 0.70 to identify individuals at risk of clinically significant COPD.
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Affiliation(s)
- Surya P. Bhatt
- Division of Pulmonary, Allergy, and Critical Care Medicine and the UAB Lung Health Center, University of Alabama at Birmingham
| | - Pallavi P. Balte
- Division of General Medicine, Columbia University Medical Center, New York, New York
| | - Joseph E. Schwartz
- Division of General Medicine, Columbia University Medical Center, New York, New York
| | - Patricia A. Cassano
- Division of Nutritional Sciences, Weill Cornell Medical College, Ithaca, New York
| | - David Couper
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis
| | - Ravi Kalhan
- Division of Pulmonary and Critical Care Medicine, Northwestern University, Chicago, Illinois
| | - George T. O’Connor
- Division of Pulmonary, Allergy, Sleep, and Critical Care, Boston University, Boston, Massachusetts
| | - Sachin Yende
- Department of Critical Care Medicine, University of Pittsburgh and Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Jason L. Sanders
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Jason G. Umans
- MedStar Health Research Institute, Hyattsville, Maryland
| | - Mark T. Dransfield
- Division of Pulmonary, Allergy, and Critical Care Medicine and the UAB Lung Health Center, University of Alabama at Birmingham
| | - Paulo H. Chaves
- Benjamin Leon Center for Geriatric Research and Education, Florida International University, Miami
| | - Wendy B. White
- Undergraduate Training and Education Center, Tougaloo College, Tougaloo, Mississippi
| | - Elizabeth C. Oelsner
- Division of General Medicine, Columbia University Medical Center, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, New York
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22
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Gern JE, Jackson DJ, Lemanske RF, Seroogy CM, Tachinardi U, Craven M, Hwang SY, Hamilton CM, Huggins W, O’Connor GT, Gold DR, Miller R, Kattan M, Johnson CC, Ownby D, Zoratti EM, Wood RA, Visness CM, Martinez F, Wright A, Lynch S, Ober C, Khurana Hershey GK, Ryan P, Hartert T, Bacharier LB. The Children's Respiratory and Environmental Workgroup (CREW) birth cohort consortium: design, methods, and study population. Respir Res 2019; 20:115. [PMID: 31182091 PMCID: PMC6558735 DOI: 10.1186/s12931-019-1088-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 06/03/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Single birth cohort studies have been the basis for many discoveries about early life risk factors for childhood asthma but are limited in scope by sample size and characteristics of the local environment and population. The Children's Respiratory and Environmental Workgroup (CREW) was established to integrate multiple established asthma birth cohorts and to investigate asthma phenotypes and associated causal pathways (endotypes), focusing on how they are influenced by interactions between genetics, lifestyle, and environmental exposures during the prenatal period and early childhood. METHODS AND RESULTS CREW is funded by the NIH Environmental influences on Child Health Outcomes (ECHO) program, and consists of 12 individual cohorts and three additional scientific centers. The CREW study population is diverse in terms of race, ethnicity, geographical distribution, and year of recruitment. We hypothesize that there are phenotypes in childhood asthma that differ based on clinical characteristics and underlying molecular mechanisms. Furthermore, we propose that asthma endotypes and their defining biomarkers can be identified based on personal and early life environmental risk factors. CREW has three phases: 1) to pool and harmonize existing data from each cohort, 2) to collect new data using standardized procedures, and 3) to enroll new families during the prenatal period to supplement and enrich extant data and enable unified systems approaches for identifying asthma phenotypes and endotypes. CONCLUSIONS The overall goal of CREW program is to develop a better understanding of how early life environmental exposures and host factors interact to promote the development of specific asthma endotypes.
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Affiliation(s)
- James E. Gern
- University of Wisconsin School of Medicine and Public Health, Madison, WI 53706 USA
- Department of Pediatrics, School of Medicine and Public Health, University of Wisconsin-Madison, Clinical Science Center-K4/918, 600 Highland Ave, Madison, WI 53792-9988 USA
| | - Daniel J. Jackson
- University of Wisconsin School of Medicine and Public Health, Madison, WI 53706 USA
| | - Robert F. Lemanske
- University of Wisconsin School of Medicine and Public Health, Madison, WI 53706 USA
| | - Christine M. Seroogy
- University of Wisconsin School of Medicine and Public Health, Madison, WI 53706 USA
| | - Umberto Tachinardi
- University of Wisconsin School of Medicine and Public Health, Madison, WI 53706 USA
| | - Mark Craven
- University of Wisconsin School of Medicine and Public Health, Madison, WI 53706 USA
| | - Stephen Y. Hwang
- RTI International, East Cornwallis Road, Post Office Box 12194, Raleigh, Research Triangle Park, NC 27709-2194 USA
| | - Carol M. Hamilton
- RTI International, East Cornwallis Road, Post Office Box 12194, Raleigh, Research Triangle Park, NC 27709-2194 USA
| | - Wayne Huggins
- RTI International, East Cornwallis Road, Post Office Box 12194, Raleigh, Research Triangle Park, NC 27709-2194 USA
| | - George T. O’Connor
- Boston University School of Medicine, 72 E Concord St, Boston, MA 02118 USA
| | - Diane R. Gold
- Channing Laboratory, Brigham and Women’s Hospital, Boston, MA 02115 USA
| | - Rachel Miller
- Columbia University, Vagelos College of Physicians and Surgeons, New York, NY 10032 USA
| | - Meyer Kattan
- Columbia University, Vagelos College of Physicians and Surgeons, New York, NY 10032 USA
| | | | | | | | - Robert A. Wood
- Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | | | | | | | - Susan Lynch
- University of California, San Francisco, CA 94143 USA
| | - Carole Ober
- University of Chicago, Chicago, IL 60637 USA
| | | | - Patrick Ryan
- University of Cincinnati, Cincinnati, OH 45220 USA
| | - Tina Hartert
- Vanderbilt University School of Medicine, Nashville, TN 37232 USA
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23
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Xu J, Gaddis NC, Bartz TM, Hou R, Manichaikul AW, Pankratz N, Smith AV, Sun F, Terzikhan N, Markunas CA, Patchen BK, Schu M, Beydoun MA, Brusselle GG, Eiriksdottir G, Zhou X, Wood AC, Graff M, Harris TB, Ikram MA, Jacobs DR, Launer LJ, Lemaitre RN, O’Connor GT, Oelsner EC, Psaty BM, Vasan RS, Rohde RR, Rich SS, Rotter JI, Seshadri S, Smith LJ, Tiemeier H, Tsai MY, Uitterlinden AG, Voruganti VS, Xu H, Zilhão NR, Fornage M, Zillikens MC, London SJ, Barr RG, Dupuis J, Gharib SA, Gudnason V, Lahousse L, North KE, Steffen LM, Cassano PA, Hancock DB. Omega-3 Fatty Acids and Genome-Wide Interaction Analyses Reveal DPP10-Pulmonary Function Association. Am J Respir Crit Care Med 2019; 199:631-642. [PMID: 30199657 PMCID: PMC6396866 DOI: 10.1164/rccm.201802-0304oc] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 09/07/2018] [Indexed: 12/18/2022] Open
Abstract
RATIONALE Omega-3 polyunsaturated fatty acids (n-3 PUFAs) have anti-inflammatory properties that could benefit adults with comprised pulmonary health. OBJECTIVE To investigate n-3 PUFA associations with spirometric measures of pulmonary function tests (PFTs) and determine underlying genetic susceptibility. METHODS Associations of n-3 PUFA biomarkers (α-linolenic acid, eicosapentaenoic acid, docosapentaenoic acid [DPA], and docosahexaenoic acid [DHA]) were evaluated with PFTs (FEV1, FVC, and FEV1/FVC) in meta-analyses across seven cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (N = 16,134 of European or African ancestry). PFT-associated n-3 PUFAs were carried forward to genome-wide interaction analyses in the four largest cohorts (N = 11,962) and replicated in one cohort (N = 1,687). Cohort-specific results were combined using joint 2 degree-of-freedom (2df) meta-analyses of SNP associations and their interactions with n-3 PUFAs. RESULTS DPA and DHA were positively associated with FEV1 and FVC (P < 0.025), with evidence for effect modification by smoking and by sex. Genome-wide analyses identified a novel association of rs11693320-an intronic DPP10 SNP-with FVC when incorporating an interaction with DHA, and the finding was replicated (P2df = 9.4 × 10-9 across discovery and replication cohorts). The rs11693320-A allele (frequency, ∼80%) was associated with lower FVC (PSNP = 2.1 × 10-9; βSNP = -161.0 ml), and the association was attenuated by higher DHA levels (PSNP×DHA interaction = 2.1 × 10-7; βSNP×DHA interaction = 36.2 ml). CONCLUSIONS We corroborated beneficial effects of n-3 PUFAs on pulmonary function. By modeling genome-wide n-3 PUFA interactions, we identified a novel DPP10 SNP association with FVC that was not detectable in much larger studies ignoring this interaction.
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Affiliation(s)
- Jiayi Xu
- Division of Nutritional Sciences, Cornell University, Ithaca, New York
| | | | - Traci M. Bartz
- Department of Biostatistics
- Cardiovascular Health Research Unit
| | - Ruixue Hou
- Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, North Carolina
| | - Ani W. Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | | | - Albert V. Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Fangui Sun
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Natalie Terzikhan
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Epidemiology
| | - Christina A. Markunas
- Center for Omics Discovery and Epidemiology, Behavioral Health Research Division, and
| | - Bonnie K. Patchen
- Division of Nutritional Sciences, Cornell University, Ithaca, New York
| | - Matthew Schu
- Genomics in Public Health and Medicine Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, North Carolina
| | - May A. Beydoun
- Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, Maryland
| | - Guy G. Brusselle
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Epidemiology
- Department of Respiratory Medicine
| | | | - Xia Zhou
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | - Alexis C. Wood
- USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, Texas
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Tamara B. Harris
- Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, Maryland
| | | | - David R. Jacobs
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | - Lenore J. Launer
- Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, Maryland
| | | | | | | | - Bruce M. Psaty
- Cardiovascular Health Research Unit
- Department of Medicine
- Department of Epidemiology
- Department of Health Services, and
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Ramachandran S. Vasan
- Division of Cardiology and Preventive Medicine, Department of Medicine, and
- Boston University’s and NHLBI’s Framingham Heart Study, Framingham, Massachusetts
| | - Rebecca R. Rohde
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor–UCLA Medical Center, Torrance, California
| | - Sudha Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
- Glenn Biggs Institute of Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, Texas
| | - Lewis J. Smith
- Division of Pulmonary and Critical Care, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Henning Tiemeier
- Department of Epidemiology
- Department of Psychiatry
- Department of Child and Adolescent Psychiatry, and
| | | | | | - V. Saroja Voruganti
- Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, North Carolina
| | - Hanfei Xu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | | | - Myriam Fornage
- Institute of Molecular Medicine and
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas
| | - M. Carola Zillikens
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
- Netherlands Genomics Initiative–sponsored Netherlands Consortium for Healthy Aging, Leiden, the Netherlands
| | - Stephanie J. London
- Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | - R. Graham Barr
- Department of Medicine, Columbia University, New York, New York
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Sina A. Gharib
- Department of Medicine
- Center for Lung Biology, University of Washington, Seattle, Washington
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Lies Lahousse
- Department of Epidemiology
- Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
| | - Kari E. North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Lyn M. Steffen
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | - Patricia A. Cassano
- Division of Nutritional Sciences, Cornell University, Ithaca, New York
- Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, New York
| | - Dana B. Hancock
- Center for Omics Discovery and Epidemiology, Behavioral Health Research Division, and
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24
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Oelsner EC, Balte PP, Grams ME, Cassano PA, Jacobs DR, Barr RG, Burkart KM, Kalhan R, Kronmal R, Loehr LR, O’Connor GT, Schwartz JE, Shlipak M, Tracy RP, Tsai MY, White W, Yende S. Albuminuria, Lung Function Decline, and Risk of Incident Chronic Obstructive Pulmonary Disease. The NHLBI Pooled Cohorts Study. Am J Respir Crit Care Med 2019; 199:321-332. [PMID: 30261735 PMCID: PMC6363973 DOI: 10.1164/rccm.201803-0402oc] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 09/28/2018] [Indexed: 12/30/2022] Open
Abstract
RATIONALE Chronic lower respiratory diseases (CLRDs), including chronic obstructive pulmonary disease (COPD) and asthma, are the fourth leading cause of death. Prior studies suggest that albuminuria, a biomarker of endothelial injury, is increased in patients with COPD. OBJECTIVES To test whether albuminuria was associated with lung function decline and incident CLRDs. METHODS Six U.S. population-based cohorts were harmonized and pooled. Participants with prevalent clinical lung disease were excluded. Albuminuria (urine albumin-to-creatinine ratio) was measured in spot samples. Lung function was assessed by spirometry. Incident CLRD-related hospitalizations and deaths were classified via adjudication and/or administrative criteria. Mixed and proportional hazards models were used to test individual-level associations adjusted for age, height, weight, sex, race/ethnicity, education, birth year, cohort, smoking status, pack-years of smoking, renal function, hypertension, diabetes, and medications. MEASUREMENTS AND MAIN RESULTS Among 10,961 participants with preserved lung function, mean age at albuminuria measurement was 60 years, 51% were never-smokers, median albuminuria was 5.6 mg/g, and mean FEV1 decline was 31.5 ml/yr. For each SD increase in log-transformed albuminuria, there was 2.81% greater FEV1 decline (95% confidence interval [CI], 0.86-4.76%; P = 0.0047), 11.02% greater FEV1/FVC decline (95% CI, 4.43-17.62%; P = 0.0011), and 15% increased hazard of incident spirometry-defined moderate-to-severe COPD (95% CI, 2-31%, P = 0.0021). Each SD log-transformed albuminuria increased hazards of incident COPD-related hospitalization/mortality by 26% (95% CI, 18-34%, P < 0.0001) among 14,213 participants followed for events. Asthma events were not significantly associated. Associations persisted in participants without current smoking, diabetes, hypertension, or cardiovascular disease. CONCLUSIONS Albuminuria was associated with greater lung function decline, incident spirometry-defined COPD, and incident COPD-related events in a U.S. population-based sample.
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Affiliation(s)
- Elizabeth C. Oelsner
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
| | - Pallavi P. Balte
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
| | - Morgan E. Grams
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Patricia A. Cassano
- Division of Nutritional Sciences, College of Human Ecology, Cornell University, Cornell, New York
| | | | - R. Graham Barr
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
| | - Kristin M. Burkart
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
| | - Ravi Kalhan
- Department of Medicine, Northwestern University, Chicago, Illinois
| | - Richard Kronmal
- Department of Statistics, School of Public Health, University of Washington, Seattle, Washington
| | - Laura R. Loehr
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
| | | | - Joseph E. Schwartz
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York
- Department of Psychiatry and Behavioral Sciences, Stony Brook University, Stony Brook, New York
| | - Michael Shlipak
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Russell P. Tracy
- Laboratory for Clinical Biochemistry Research, University of Vermont, Burlington, Vermont
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Wendy White
- Jackson Heart Study, Undergraduate Training and Education Center, Tougaloo College, Jackson, Mississippi; and
| | - Sachin Yende
- Veterans Affairs Pittsburgh Healthcare System and
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
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25
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Bacharier LB, Beigelman A, Calatroni A, Jackson DJ, Gergen PJ, O’Connor GT, Kattan M, Wood RA, Sandel MT, Lynch SV, Fujimura KE, Fadrosh DW, Santee CA, Boushey H, Visness CM. Longitudinal Phenotypes of Respiratory Health in a High-Risk Urban Birth Cohort. Am J Respir Crit Care Med 2019; 199:71-82. [PMID: 30079758 PMCID: PMC6353010 DOI: 10.1164/rccm.201801-0190oc] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 08/01/2018] [Indexed: 12/23/2022] Open
Abstract
RATIONALE Characterization of patterns of wheezing and allergic sensitization in early life may allow for identification of specific environmental exposures impacting asthma development. OBJECTIVES To define respiratory phenotypes in inner-city children and their associations with early-life environmental exposures. METHODS Data were collected prospectively from 442 children in the URECA (Urban Environment and Childhood Asthma) birth cohort through age 7 years, reflecting symptoms (wheezing), aeroallergen sensitization, pulmonary function, and body mass index. Latent class mixed models identified trajectories of wheezing, allergic sensitization, and pulmonary function. Cluster analysis defined nonoverlapping groups (termed phenotypes). Potential associations between phenotypes and early-life environmental exposures were examined. MEASUREMENTS AND MAIN RESULTS Five phenotypes were identified and mainly differentiated by patterns of wheezing and allergic sensitization (low wheeze/low atopy; low wheeze/high atopy; transient wheeze/low atopy; high wheeze/low atopy; high wheeze/high atopy). Asthma was most often present in the high-wheeze phenotypes, with greatest respiratory morbidity among children with frequent wheezing and allergic sensitization. These phenotypes differentially related to early-life exposures, including maternal stress and depression, antenatal environmental tobacco smoke, house dust microbiome, and allergen content (all P < 0.05). Prenatal smoke exposure, maternal stress, and depression were highest in the high-wheeze/low-atopy phenotype. The high-wheeze/high-atopy phenotype was associated with low household microbial richness and diversity. Early-life aeroallergen exposure was low in high-wheeze phenotypes. CONCLUSIONS Patterns of wheezing, allergic sensitization, and lung function identified five respiratory phenotypes among inner-city children. Early-life environmental exposure to stress, depression, tobacco smoke, and indoor allergens and microbes differentially associate with specific phenotypes.
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Affiliation(s)
- Leonard B. Bacharier
- Department of Pediatrics, Washington University School of Medicine and St. Louis Children’s Hospital, St. Louis, Missouri
| | - Avraham Beigelman
- Department of Pediatrics, Washington University School of Medicine and St. Louis Children’s Hospital, St. Louis, Missouri
| | | | - Daniel J. Jackson
- Department of Pediatrics, University of Wisconsin–Madison, Madison, Wisconsin
| | - Peter J. Gergen
- National Institute of Allergy and Infectious Diseases, Rockville, Maryland
| | | | - Meyer Kattan
- Department of Pediatrics, Columbia University, New York, New York
| | - Robert A. Wood
- Department of Pediatrics, Johns Hopkins University Medical Center, Baltimore, Maryland; and
| | - Megan T. Sandel
- Department of Pediatrics, Boston University School of Medicine, Boston, Massachusetts
| | - Susan V. Lynch
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Kei E. Fujimura
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Douglas W. Fadrosh
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Clark A. Santee
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Homer Boushey
- Department of Medicine, University of California, San Francisco, San Francisco, California
| | | | - for the NIAID-sponsored Inner-City Asthma Consortium
- Department of Pediatrics, Washington University School of Medicine and St. Louis Children’s Hospital, St. Louis, Missouri
- Rho Federal Systems Division, Inc., Chapel Hill, North Carolina
- Department of Pediatrics, University of Wisconsin–Madison, Madison, Wisconsin
- National Institute of Allergy and Infectious Diseases, Rockville, Maryland
- Department of Medicine and
- Department of Pediatrics, Boston University School of Medicine, Boston, Massachusetts
- Department of Pediatrics, Columbia University, New York, New York
- Department of Pediatrics, Johns Hopkins University Medical Center, Baltimore, Maryland; and
- Department of Medicine, University of California, San Francisco, San Francisco, California
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26
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Mirzakhani H, Carey VJ, McElrath TF, Qiu W, Hollis BW, O’Connor GT, Zeiger RS, Bacharier L, Litonjua AA, Weiss ST. Impact of Preeclampsia on the Relationship between Maternal Asthma and Offspring Asthma. An Observation from the VDAART Clinical Trial. Am J Respir Crit Care Med 2019; 199:32-42. [PMID: 30153046 PMCID: PMC6353019 DOI: 10.1164/rccm.201804-0770oc] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Accepted: 08/27/2018] [Indexed: 01/27/2023] Open
Abstract
RATIONALE Maternal asthma and preeclampsia have independently been reported to be associated with increased asthma incidence in children of affected mothers. Maternal asthma is also associated with increased risk of preeclampsia development. However, the joint effect of these maternal conditions on child asthma risk is unknown. OBJECTIVES To study whether development of preeclampsia among pregnant women with asthma was associated with higher risk of childhood asthma in the VDAART (Vitamin D Antenatal Asthma Reduction Trial). METHODS A total of 806 pregnant women and their offspring at high risk of asthma or atopy, who were followed from VDAART enrollment (10-18 wk of gestation) through the child's third birthday, were included in this cohort analysis. Preeclampsia status was determined by chart review, obstetrician diagnosis, and adjudication by a panel of obstetricians. Child asthma was the main outcome as determined by parental report of a physician diagnosis, and the risk of child asthma was also examined if accompanied by recurrent wheeze. The main risk variable of interest was a four-level ordered variable defined for each mother, with values without asthma without preeclampsia, without asthma with preeclampsia, with asthma without preeclampsia, and with asthma with preeclampsia during their pregnancy. We examined the trend of outcome proportions across these categories. To account for differences in maternal and child characteristics, we used a Weibull regression model for interval-censored data to compare the incidence of child asthma by age of 3 years across the maternal variable categories. MEASUREMENTS AND MAIN RESULTS The incidence of asthma in 3-year-old children was 9.90% (44/445), 17.95% (7/39), 22.11% (65/294), and 32.14% (9/28) among those born to mothers without asthma and without preeclampsia, mothers without asthma with preeclampsia, mothers with asthma without preeclampsia, and mothers with asthma with preeclampsia, respectively. The incidences demonstrated an increasing trend in risk of child asthma across the maternal groups (P for trend <0.001). After accounting for potential confounders and using time to report of childhood asthma as analysis outcome, risk of asthma was greater among children born to mothers with asthma without preeclampsia, compared with mothers without asthma without preeclampsia (adjusted hazard ratio, 2.18; 95% confidence interval, 1.46-3.26). This risk was 50% greater for children born to mothers with asthma who developed preeclampsia during pregnancy (adjusted hazard ratio, 2.68; 95% confidence interval, 1.30-5.61). The trend in asthma and recurrent wheeze proportions across the maternal groups' children also indicated a higher risk for children born to mothers with asthma with preeclampsia (adjusted hazard ratio, 4.73; 95% confidence interval, 2.20-10.07; P for trend <0.001). CONCLUSIONS Preeclampsia is associated with increased risk of early life childhood asthma in children less than 3 years old over and above that associated with maternal asthma alone. The results implicate the interplay between maternal factors as strong predictors of offspring asthma and in utero maternal-fetal immune perturbations and developmental dysregulations associated with preeclampsia.
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Affiliation(s)
- Hooman Mirzakhani
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Vincent J. Carey
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Thomas F. McElrath
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Weiliang Qiu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Bruce W. Hollis
- Department of Pediatrics, Medical College of South Carolina, Charleston, South Carolina
| | - George T. O’Connor
- Pulmonary Center, Department of Medicine, Boston Medical Center, Boston University, Boston, Massachusetts
| | - Robert S. Zeiger
- Department of Allergy and Research and Evaluation, Kaiser Permanente Southern California, Region, San Diego and Pasadena, California
| | - Leonard Bacharier
- Division of Pediatric Allergy, Immunology and Pulmonary Medicine, Department of Pediatrics, Washington University, St. Louis, Missouri
| | - Augusto A. Litonjua
- Division of Pediatric Pulmonary Medicine, Department of Pediatrics, Golisano Children’s Hospital at Strong, University of Rochester Medical Center, Rochester, New York; and
| | - Scott T. Weiss
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Partners Center for Personalized Medicine, Partners Health Care, Boston, Massachusetts
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27
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Savage JH, Lee-Sarwar KA, Sordillo JE, Lange NE, Zhou Y, O’Connor GT, Sandel M, Bacharier LB, Zeiger R, Sodergren E, Weinstock GM, Gold DR, Weiss ST, Litonjua AA. Diet during Pregnancy and Infancy and the Infant Intestinal Microbiome. J Pediatr 2018; 203:47-54.e4. [PMID: 30173873 PMCID: PMC6371799 DOI: 10.1016/j.jpeds.2018.07.066] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 06/12/2018] [Accepted: 07/13/2018] [Indexed: 02/06/2023]
Abstract
OBJECTIVES To determine the association between diet during pregnancy and infancy, including breastfeeding vs formula feeding, solid food introduction, and the infant intestinal microbiome. STUDY DESIGN Infants participating in the Vitamin D Antenatal Asthma Reduction Trial were included in this study (n = 323). Maternal and infant diets were assessed by questionnaire. Infant stool samples were collected at age 3-6 months. Stool sequencing was performed using the Roche 454 platform. Analyses were stratified by race/ethnicity. RESULTS Breastfeeding, compared with formula feeding, was independently associated with infant intestinal microbial diversity. Breastfeeding also had the most consistent associations with individual taxa that have been previously linked to early-life diet and health outcomes (eg, Bifidobacterium). Maternal diet during pregnancy and solid food introduction were less associated with the infant gut microbiome than breastfeeding status. We found evidence of a possible interaction between breastfeeding and child race/ethnicity on microbial composition. CONCLUSIONS Breastfeeding vs formula feeding is the dietary factor that is most consistently independently associated with the infant intestinal microbiome. The relationship between breastfeeding status and intestinal microbiome composition varies by child race/ethnicity. Future studies will need to investigate factors, including genomic factors, which may influence the response of the microbiome to diet. TRIAL REGISTRATION ClinicalTrials.gov: NCT00920621.
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Affiliation(s)
- Jessica H. Savage
- Vertex Pharmaceuticals, Beth Israel Deaconess Medical Center, Boston, MA
| | - Kathleen A. Lee-Sarwar
- Division of Rheumatology, Immunology and Allergy, Brigham and Women’s Hospital, Beth Israel Deaconess Medical Center, Boston, MA
| | - Joanne E. Sordillo
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care, Beth Israel Deaconess Medical Center, Boston, MA
| | - Nancy E. Lange
- Harvard Medical School, Beth Israel Deaconess Medical Center, Beth Israel Deaconess Medical Center, Boston, MA;,Division of Pulmonary and Critical Care Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Yanjiao Zhou
- Department of Medicine, University of Connecticut School of Medicine, Farmington, CT
| | | | - Megan Sandel
- Boston University School of Medicine, Boston, MA
| | - Leonard B. Bacharier
- Division of Allergy, Immunology, and Pulmonary Medicine, St. Louis Children’s Hospital, Washington University School of Medicine, St. Louis, MO
| | - Robert Zeiger
- Kaiser Permanente Southern California Region, San Diego, CA
| | | | | | - Diane R. Gold
- Harvard Medical School, Beth Israel Deaconess Medical Center, Beth Israel Deaconess Medical Center, Boston, MA;,Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Scott T. Weiss
- Harvard Medical School, Beth Israel Deaconess Medical Center, Beth Israel Deaconess Medical Center, Boston, MA;,Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Augusto A. Litonjua
- Division of Pediatric Pulmonary Medicine, Golisano Children’s Hospital, University of Rochester Medical Center, Rochester, NY
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28
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Oelsner EC, Balte PP, Cassano PA, Couper D, Enright PL, Folsom AR, Hankinson J, Jacobs DR, Kalhan R, Kaplan R, Kronmal R, Lange L, Loehr LR, London SJ, Navas Acien A, Newman AB, O’Connor GT, Schwartz JE, Smith LJ, Yeh F, Zhang Y, Moran AE, Mwasongwe S, White WB, Yende S, Barr RG. Harmonization of Respiratory Data From 9 US Population-Based Cohorts: The NHLBI Pooled Cohorts Study. Am J Epidemiol 2018; 187:2265-2278. [PMID: 29982273 PMCID: PMC6211239 DOI: 10.1093/aje/kwy139] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 04/13/2018] [Accepted: 04/17/2018] [Indexed: 12/13/2022] Open
Abstract
Chronic lower respiratory diseases (CLRDs) are the fourth leading cause of death in the United States. To support investigations into CLRD risk determinants and new approaches to primary prevention, we aimed to harmonize and pool respiratory data from US general population-based cohorts. Data were obtained from prospective cohorts that performed prebronchodilator spirometry and were harmonized following 2005 ATS/ERS standards. In cohorts conducting follow-up for noncardiovascular events, CLRD events were defined as hospitalizations/deaths adjudicated as CLRD-related or assigned relevant administrative codes. Coding and variable names were applied uniformly. The pooled sample included 65,251 adults in 9 cohorts followed-up for CLRD-related mortality over 653,380 person-years during 1983-2016. Average baseline age was 52 years; 56% were female; 49% were never-smokers; and racial/ethnic composition was 44% white, 22% black, 28% Hispanic/Latino, and 5% American Indian. Over 96% had complete data on smoking, clinical CLRD diagnoses, and dyspnea. After excluding invalid spirometry examinations (13%), there were 105,696 valid examinations (median, 2 per participant). Of 29,351 participants followed for CLRD hospitalizations, median follow-up was 14 years; only 5% were lost to follow-up at 10 years. The NHLBI Pooled Cohorts Study provides a harmonization standard applied to a large, US population-based sample that may be used to advance epidemiologic research on CLRD.
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MESH Headings
- Adolescent
- Adult
- Aged
- Aged, 80 and over
- Body Weights and Measures
- Bronchiectasis/epidemiology
- Bronchiectasis/physiopathology
- Chronic Disease
- Cohort Studies
- Ethnicity/statistics & numerical data
- Female
- Hispanic or Latino/statistics & numerical data
- Hospitalization/statistics & numerical data
- Humans
- Indians, North American/statistics & numerical data
- Inhalation Exposure/statistics & numerical data
- Lung Diseases, Obstructive/epidemiology
- Lung Diseases, Obstructive/ethnology
- Lung Diseases, Obstructive/mortality
- Lung Diseases, Obstructive/physiopathology
- Male
- Middle Aged
- National Heart, Lung, and Blood Institute (U.S.)/organization & administration
- National Heart, Lung, and Blood Institute (U.S.)/standards
- Phenotype
- Racial Groups/statistics & numerical data
- Respiratory Function Tests
- Risk Factors
- Smoking/epidemiology
- Socioeconomic Factors
- United States/epidemiology
- White People/statistics & numerical data
- Young Adult
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Affiliation(s)
- Elizabeth C Oelsner
- Division of General Medicine, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Pallavi P Balte
- Division of General Medicine, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | - Patricia A Cassano
- Division of Nutritional Sciences, Weill Cornell Medical College, Ithaca, New York
| | - David Couper
- Collaborative Studies Coordinating Center, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina
| | - Paul L Enright
- Department of Medicine, College of Medicine, University of Arizona, Tucson, Arizona
| | - Aaron R Folsom
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | | | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | | | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, New York
| | - Richard Kronmal
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington
| | - Leslie Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado, Denver, Colorado
| | - Laura R Loehr
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina
| | - Stephanie J London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | - Ana Navas Acien
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
| | - Anne B Newman
- Department of Epidemiology, Pitt Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - George T O’Connor
- Department of Medicine, School of Medicine, Boston University, Boston, Massachusetts
| | - Joseph E Schwartz
- Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stony Brook University, Stony Brook, New York
| | | | - Fawn Yeh
- Biostatistics and Epidemiology, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Yiyi Zhang
- Division of General Medicine, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | - Andrew E Moran
- Division of General Medicine, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | | | - Wendy B White
- Jackson Heart Study, Undergraduate Training and Education Center, Tougaloo College, Tougaloo, Mississippi
| | - Sachin Yende
- Division of Pulmonary and Critical Care, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - R Graham Barr
- Division of General Medicine, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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29
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Rota AP, Bacharier LB, Jaffee K, Visness CM, Kattan M, O’Connor GT, Wood RA, Gergen PJ, Gern JE, Bloomberg GR. Screen Time Engagement Is Increased in Urban Children With Asthma. Clin Pediatr (Phila) 2017; 56:1048-1053. [PMID: 28871879 PMCID: PMC6378875 DOI: 10.1177/0009922817698801] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Physical activity in children has been shown to play a role in its relationship to asthma, both in terms of prevalence and incidence. One measure of physical activity in children is sedentary behavior, which might be measured by the degree of engagement with media electronic screens. We found that children with asthma, as compared with children without asthma, engage in significantly more hours of screen time (median 35 vs 26 h/wk, P = .004). In this birth cohort, those who developed a diagnosis of asthma at 8 years of age were significantly more engaged in electronic screen time than their peers. No other clinical or lifestyle behaviors were significantly associated with a diagnosis of asthma. Further study will be needed to determine directionality of this finding.
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Affiliation(s)
| | | | - Katy Jaffee
- Rho Federal Systems Division, Inc, Chapel Hill, NC, USA
| | | | - Meyer Kattan
- Columbia University College of Physicians and Surgeons, New York, NY, USA
| | | | - Robert A. Wood
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Peter J. Gergen
- National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA
| | - James E. Gern
- University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
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30
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Willinger CM, Rong J, Tanriverdi K, Courchesne PL, Huan T, Wasserman GA, Lin H, Dupuis J, Joehanes R, Jones MR, Chen G, Benjamin EJ, O’Connor GT, Mizgerd JP, Freedman JE, Larson MG, Levy D. MicroRNA Signature of Cigarette Smoking and Evidence for a Putative Causal Role of MicroRNAs in Smoking-Related Inflammation and Target Organ Damage. Circ Cardiovasc Genet 2017; 10:e001678. [PMID: 29030400 PMCID: PMC5683429 DOI: 10.1161/circgenetics.116.001678] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Accepted: 07/13/2017] [Indexed: 12/21/2022]
Abstract
BACKGROUND Cigarette smoking increases risk for multiple diseases. MicroRNAs regulate gene expression and may play a role in smoking-induced target organ damage. We sought to describe a microRNA signature of cigarette smoking and relate it to smoking-associated clinical phenotypes, gene expression, and lung inflammatory signaling. METHODS AND RESULTS Expression profiling of 283 microRNAs was conducted on whole blood-derived RNA from 5023 Framingham Heart Study participants (54.0% women; mean age, 55±13 years) using TaqMan assays and high-throughput reverse transcription quantitative polymerase chain reaction. Associations of microRNA expression with smoking status and associations of smoking-related microRNAs with inflammatory biomarkers and pulmonary function were tested with linear mixed effects models. We identified a 6-microRNA signature of smoking. Five of the 6 smoking-related microRNAs were associated with serum levels of C-reactive protein or interleukin-6; miR-1180 was associated with pulmonary function measures at a marginally significant level. Bioinformatic evaluation of smoking-associated genes coexpressed with the microRNA signature of cigarette smoking revealed enrichment for immune-related pathways. Smoking-associated microRNAs altered expression of selected inflammatory mediators in cell culture gain-of-function assays. CONCLUSIONS We characterized a novel microRNA signature of cigarette smoking. The top microRNAs were associated with systemic inflammatory markers and reduced pulmonary function, correlated with expression of genes involved in immune function, and were sufficient to modulate inflammatory signaling. Our results highlight smoking-associated microRNAs and are consistent with the hypothesis that smoking-associated microRNAs serve as mediators of smoking-induced inflammation and target organ damage. These findings call for further mechanistic studies to explore the diagnostic and therapeutic use of smoking-related microRNAs.
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Affiliation(s)
- Christine M. Willinger
- Framingham Heart Study, Framingham, MA
- Division of Intramural Research and Population Sciences Branch, National Heart, Lung, and Blood Institute, Bethesda, MD
| | - Jian Rong
- Framingham Heart Study, Framingham, MA
- Boston University School of Public Health, Boston
| | - Kahraman Tanriverdi
- Department of Medicine and UMass Memorial Heart & Vascular Center, University of Massachusetts Medical School, Worcester
| | - Paul L. Courchesne
- Framingham Heart Study, Framingham, MA
- Division of Intramural Research and Population Sciences Branch, National Heart, Lung, and Blood Institute, Bethesda, MD
| | - Tianxiao Huan
- Framingham Heart Study, Framingham, MA
- Division of Intramural Research and Population Sciences Branch, National Heart, Lung, and Blood Institute, Bethesda, MD
| | | | - Honghuang Lin
- Framingham Heart Study, Framingham, MA
- Boston University School of Medicine
| | - Josée Dupuis
- Framingham Heart Study, Framingham, MA
- Boston University School of Public Health, Boston
| | - Roby Joehanes
- Framingham Heart Study, Framingham, MA
- Division of Intramural Research and Population Sciences Branch, National Heart, Lung, and Blood Institute, Bethesda, MD
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA
| | | | - George Chen
- Framingham Heart Study, Framingham, MA
- Division of Intramural Research and Population Sciences Branch, National Heart, Lung, and Blood Institute, Bethesda, MD
| | - Emelia J. Benjamin
- Framingham Heart Study, Framingham, MA
- Boston University School of Public Health, Boston
- Boston University School of Medicine
| | | | | | - Jane E. Freedman
- Department of Medicine and UMass Memorial Heart & Vascular Center, University of Massachusetts Medical School, Worcester
| | - Martin G. Larson
- Framingham Heart Study, Framingham, MA
- Boston University School of Public Health, Boston
| | - Daniel Levy
- Framingham Heart Study, Framingham, MA
- Division of Intramural Research and Population Sciences Branch, National Heart, Lung, and Blood Institute, Bethesda, MD
- Boston University School of Medicine
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31
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Aschard H, Tobin MD, Hancock DB, Skurnik D, Sood A, James A, Vernon Smith A, Manichaikul AW, Campbell A, Prins BP, Hayward C, Loth DW, Porteous DJ, Strachan DP, Zeggini E, O’Connor GT, Brusselle GG, Boezen HM, Schulz H, Deary IJ, Hall IP, Rudan I, Kaprio J, Wilson JF, Wilk JB, Huffman JE, Hua Zhao J, de Jong K, Lyytikäinen LP, Wain LV, Jarvelin MR, Kähönen M, Fornage M, Polasek O, Cassano PA, Barr RG, Rawal R, Harris SE, Gharib SA, Enroth S, Heckbert SR, Lehtimäki T, Gyllensten U, Jackson VE, Gudnason V, Tang W, Dupuis J, Soler Artigas M, Joshi AD, London SJ, Kraft P. Evidence for large-scale gene-by-smoking interaction effects on pulmonary function. Int J Epidemiol 2017; 46:894-904. [PMID: 28082375 PMCID: PMC5837518 DOI: 10.1093/ije/dyw318] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/10/2016] [Indexed: 01/23/2023] Open
Abstract
Background Smoking is the strongest environmental risk factor for reduced pulmonary function. The genetic component of various pulmonary traits has also been demonstrated, and at least 26 loci have been reproducibly associated with either FEV 1 (forced expiratory volume in 1 second) or FEV 1 /FVC (FEV 1 /forced vital capacity). Although the main effects of smoking and genetic loci are well established, the question of potential gene-by-smoking interaction effect remains unanswered. The aim of the present study was to assess, using a genetic risk score approach, whether the effect of these 26 loci on pulmonary function is influenced by smoking. Methods We evaluated the interaction between smoking exposure, considered as either ever vs never or pack-years, and a 26-single nucleotide polymorphisms (SNPs) genetic risk score in relation to FEV 1 or FEV 1 /FVC in 50 047 participants of European ancestry from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) and SpiroMeta consortia. Results We identified an interaction ( βint = -0.036, 95% confidence interval, -0.040 to -0.032, P = 0.00057) between an unweighted 26 SNP genetic risk score and smoking status (ever/never) on the FEV 1 /FVC ratio. In interpreting this interaction, we showed that the genetic risk of falling below the FEV /FVC threshold used to diagnose chronic obstructive pulmonary disease is higher among ever smokers than among never smokers. A replication analysis in two independent datasets, although not statistically significant, showed a similar trend in the interaction effect. Conclusions This study highlights the benefit of using genetic risk scores for identifying interactions missed when studying individual SNPs and shows, for the first time, that persons with the highest genetic risk for low FEV 1 /FVC may be more susceptible to the deleterious effects of smoking.
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Affiliation(s)
- Hugues Aschard
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA,Program in Genetic Epidemiology and Statistical Genetics, Harvard TH Chan School of Public Health, Boston, MA, USA,Corresponding author. Department of Epidemiology, Harvard School of Public Health, Building 2, Room 205, 665 Huntington Avenue, Boston, MA 02115, USA. E-mail:
| | - Martin D Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK,National Institute for Health Research, Leicester Respiratory Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - Dana B Hancock
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Research Division, Research Triangle Institute (RTI) International, Research Triangle Park, NC, USA
| | - David Skurnik
- Division of Infectious Diseases, Brigham and Women Hospital, Harvard Medical School, Boston, MA, USA
| | - Akshay Sood
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Alan James
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, Australia,School of Medicine and Pharmacology, University of Western Australia, Crawley, Australia
| | - Albert Vernon Smith
- Icelandic Heart Association, Kopavogur, Iceland,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Ani W Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA,Department of Public Health Sciences, Division of Biostatistics and Epidemiology, University of Virginia, Charlottesville, VA, USA
| | - Archie Campbell
- Centre for Genomic & Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, UK,Generation Scotland, Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, UK
| | - Bram P Prins
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Daan W Loth
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - David J Porteous
- Centre for Genomic & Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, UK,Generation Scotland, Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, UK
| | - David P Strachan
- Population Health Research Institute, St George’s University of London, London, UK
| | - Eleftheria Zeggini
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - George T O’Connor
- The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, USA,The Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Guy G Brusselle
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands,Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium,Department of Respiratory Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - H Marike Boezen
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands,University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
| | - Holger Schulz
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany,Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research, Munich, Germany
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ian P Hall
- Division of Respiratory Medicine, University of Nottingham, Queen’s Medical Centre, Nottingham, UK
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, Helsinki, Finland,Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland,National Institute for Health and Welfare, Department of Health, Helsinki, Finland
| | - James F Wilson
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK,Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Jemma B Wilk
- The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, USA
| | - Jennifer E Huffman
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK,Institute of Metabolic Science, Biomedical Campus, Cambridge, UK
| | - Kim de Jong
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands,University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD, Groningen, The Netherlands
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland,Department of Clinical Chemistry, University of Tampere School of Medicine, Tampere, Finland
| | - Louise V Wain
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK,National Institute for Health Research, Leicester Respiratory Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, MRC–PHE Centre for Environment & Health, School of Public Health, Imperial College London, UK,Center for Life Course Epidemiology, Faculty of Medicine, University of Oulu, Oulu, Finland,Biocenter Oulu, University of Oulu, Oulu, Finland,Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ozren Polasek
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK,Faculty of Medicine, University of Split, Split, Croatia
| | - Patricia A Cassano
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA,Department of Healthcare Policy and Research, Weill Cornell Medical College, NY, NY, USA
| | - R Graham Barr
- Departments of Medicine and Epidemiology, Columbia University Medical Center
| | - Rajesh Rawal
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany,Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Sarah E Harris
- Centre for Genomic & Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Sina A Gharib
- Computational Medicine Core at Center for Lung Biology, Division of Pulmonary & Critical Care Medicine, University of Washington, Seattle, WA,Cardiovascular Health Research Unit and Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Stefan Enroth
- Department of Immunology, Genetics and Pathology, Uppsala Universitet, Science for Life Laboratory, Uppsala, Sweden
| | | | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland,Department of Clinical Chemistry, University of Tampere School of Medicine, Tampere, Finland
| | - Ulf Gyllensten
- Department of Immunology, Genetics and Pathology, Uppsala Universitet, Science for Life Laboratory, Uppsala, Sweden
| | | | - Victoria E Jackson
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Wenbo Tang
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA,Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, USA
| | - Josée Dupuis
- The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - María Soler Artigas
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Amit D Joshi
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA,Program in Genetic Epidemiology and Statistical Genetics, Harvard TH Chan School of Public Health, Boston, MA, USA,Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA. Human Services, Research Triangle Park, NC, USA
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, US Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA,Program in Genetic Epidemiology and Statistical Genetics, Harvard TH Chan School of Public Health, Boston, MA, USA
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32
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Hobbs BD, de Jong K, Lamontagne M, Bossé Y, Shrine N, Artigas MS, Wain LV, Hall IP, Jackson VE, Wyss AB, London SJ, North KE, Franceschini N, Strachan DP, Beaty TH, Hokanson JE, Crapo JD, Castaldi PJ, Chase RP, Bartz TM, Heckbert SR, Psaty BM, Gharib SA, Zanen P, Lammers JW, Oudkerk M, Groen HJ, Locantore N, Tal-Singer R, Rennard SI, Vestbo J, Timens W, Paré PD, Latourelle JC, Dupuis J, O’Connor GT, Wilk JB, Kim WJ, Lee MK, Oh YM, Vonk JM, de Koning HJ, Leng S, Belinsky SA, Tesfaigzi Y, Manichaikul A, Wang XQ, Rich SS, Barr RG, Sparrow D, Litonjua AA, Bakke P, Gulsvik A, Lahousse L, Brusselle GG, Stricker BH, Uitterlinden AG, Ampleford EJ, Bleecker ER, Woodruff PG, Meyers DA, Qiao D, Lomas DA, Yim JJ, Kim DK, Hawrylkiewicz I, Sliwinski P, Hardin M, Fingerlin TE, Schwartz DA, Postma DS, MacNee W, Tobin MD, Silverman EK, Boezen HM, Cho MH. Genetic loci associated with chronic obstructive pulmonary disease overlap with loci for lung function and pulmonary fibrosis. Nat Genet 2017; 49:426-432. [PMID: 28166215 PMCID: PMC5381275 DOI: 10.1038/ng.3752] [Citation(s) in RCA: 241] [Impact Index Per Article: 34.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Accepted: 11/23/2016] [Indexed: 12/15/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality worldwide. We performed a genetic association study in 15,256 cases and 47,936 controls, with replication of select top results (P < 5 × 10-6) in 9,498 cases and 9,748 controls. In the combined meta-analysis, we identified 22 loci associated at genome-wide significance, including 13 new associations with COPD. Nine of these 13 loci have been associated with lung function in general population samples, while 4 (EEFSEC, DSP, MTCL1, and SFTPD) are new. We noted two loci shared with pulmonary fibrosis (FAM13A and DSP) but that had opposite risk alleles for COPD. None of our loci overlapped with genome-wide associations for asthma, although one locus has been implicated in joint susceptibility to asthma and obesity. We also identified genetic correlation between COPD and asthma. Our findings highlight new loci associated with COPD, demonstrate the importance of specific loci associated with lung function to COPD, and identify potential regions of genetic overlap between COPD and other respiratory diseases.
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Affiliation(s)
- Brian D. Hobbs
- Channing Division of Network Medicine, Brigham and Women’s
Hospital, Boston, MA, USA,Division of Pulmonary and Critical Care Medicine, Brigham and
Women’s Hospital, Boston, MA, USA
| | - Kim de Jong
- University of Groningen, University Medical Center Groningen,
Department of Epidemiology, Groningen, the Netherlands,University of Groningen, University Medical Center Groningen,
Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the
Netherlands
| | - Maxime Lamontagne
- Institut universitaire de cardiologie et de pneumologie de
Québec, Québec, Canada
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de
Québec, Québec, Canada,Department of Molecular Medicine, Laval University, Québec,
Canada
| | - Nick Shrine
- Genetic Epidemiology Group, Department of Health Sciences,
University of Leicester, Leicester, UK
| | - María Soler Artigas
- Genetic Epidemiology Group, Department of Health Sciences,
University of Leicester, Leicester, UK
| | - Louise V. Wain
- Genetic Epidemiology Group, Department of Health Sciences,
University of Leicester, Leicester, UK
| | - Ian P. Hall
- Division of Respiratory Medicine, Queen’s Medical Centre,
University of Nottingham, Nottingham, UK
| | - Victoria E. Jackson
- Genetic Epidemiology Group, Department of Health Sciences,
University of Leicester, Leicester, UK
| | - 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
| | - 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
| | - Kari E. North
- Department of Epidemiology, University of North Carolina, Chapel
Hill, NC, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel
Hill, NC, USA
| | - David P. Strachan
- Population Health Research Institute, St. George’s,
University of London, London, UK
| | - Terri H. Beaty
- Johns Hopkins University Bloomberg School of Public Health,
Baltimore, MD, USA
| | - John E. Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical
Campus, Aurora, CO, USA
| | - James D. Crapo
- Department of Medicine, Division of Pulmonary and Critical Care
Medicine, National Jewish Health, Denver, CO, USA
| | - Peter J. Castaldi
- Channing Division of Network Medicine, Brigham and Women’s
Hospital, Boston, MA, USA,Division of General Internal Medicine, Brigham and Women’s
Hospital, Boston, MA, USA
| | - Robert P. Chase
- Channing Division of Network Medicine, Brigham and Women’s
Hospital, Boston, MA, USA
| | - Traci M. Bartz
- Cardiovascular Health Research Unit, University of Washington,
Seattle, WA, USA,Department of Medicine, University of Washington, Seattle, WA,
USA,Department of Biostatistics, University of Washington, Seattle, WA,
USA
| | - Susan R. Heckbert
- Cardiovascular Health Research Unit, University of Washington,
Seattle, WA, USA,Department of Epidemiology, University of Washington, Seattle, WA,
USA,Group Health Research Institute, Group Health Cooperative, Seattle,
WA, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, University of Washington,
Seattle, WA, USA,Department of Medicine, University of Washington, Seattle, WA,
USA,Department of Epidemiology, University of Washington, Seattle, WA,
USA,Group Health Research Institute, Group Health Cooperative, Seattle,
WA, USA,Department of Health Services, University of Washington, Seattle,
WA, USA
| | - Sina A. Gharib
- Computational Medicine Core, Center for Lung Biology, UW Medicine
Sleep Center, Department of Medicine, University of Washington, Seattle, WA,
USA
| | - Pieter Zanen
- Department of Pulmonology, University Medical Center Utrecht,
University of Utrecht, Utrecht, the Netherlands
| | - Jan W. Lammers
- Department of Pulmonology, University Medical Center Utrecht,
University of Utrecht, Utrecht, the Netherlands
| | - Matthijs Oudkerk
- University of Groningen, University Medical Center Groningen,
Center for Medical Imaging, the Netherlands
| | - H. J. Groen
- University of Groningen, University Medical Center Groningen,
Department of Pulmonology, Groningen, the Netherlands
| | | | | | - Stephen I. Rennard
- Pulmonary, Critical Care, Sleep and Allergy Division, Department of
Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA,Clinical Discovery Unit, AstraZeneca, Cambridge, UK
| | - Jørgen Vestbo
- School of Biological Sciences, University of Manchester,
Manchester, UK
| | - Wim Timens
- Department of Pathology and Medical Biology, University of
Groningen, University Medical Center Groningen, GRIAC Research Institute, Groningen,
the Netherlands
| | - Peter D. Paré
- University of British Columbia Center for Heart Lung Innovation and
Institute for Heart and Lung Health, St Paul’s Hospital, Vancouver, British
Columbia, Canada
| | | | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA,The National Heart, Lung, and Blood Institute’s Framingham
Heart Study, Framingham, MA, USA
| | - George T. O’Connor
- The National Heart, Lung, and Blood Institute’s Framingham
Heart Study, Framingham, MA, USA,Pulmonary Center, Department of Medicine, Boston University School
of Medicine, Boston, MA, USA
| | - Jemma B. Wilk
- The National Heart, Lung, and Blood Institute’s Framingham
Heart Study, Framingham, MA, USA
| | - Woo Jin Kim
- Department of Internal Medicine and Environmental Health Center,
School of Medicine, Kangwon National University, Chuncheon, South Korea
| | - Mi Kyeong Lee
- Department of Internal Medicine and Environmental Health Center,
School of Medicine, Kangwon National University, Chuncheon, South Korea
| | - Yeon-Mok Oh
- Department of Pulmonary and Critical Care Medicine, and Clinical
Research Center for Chronic Obstructive Airway Diseases, Asan Medical Center,
University of Ulsan College of Medicine, Seoul, South Korea
| | - Judith M. Vonk
- University of Groningen, University Medical Center Groningen,
Department of Epidemiology, Groningen, the Netherlands,University of Groningen, University Medical Center Groningen,
Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the
Netherlands
| | - Harry J. de Koning
- Department of Public Health, Erasmus Medical Center Rotterdam,
Rotterdam, the Netherlands
| | - Shuguang Leng
- Lovelace Respiratory Research Institute, Albuquerque, NM, USA
| | | | | | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia,
Charlottesville, VA, USA,Department of Public Health Sciences, University of Virginia,
Charlottesville, VA, USA
| | - Xin-Qun Wang
- Department of Public Health Sciences, University of Virginia,
Charlottesville, VA, USA
| | - 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
| | - R Graham Barr
- Department of Medicine, College of Physicians and Surgeons and
Department of Epidemiology, Mailman School of Public Health, Columbia University,
New York, NY, USA
| | - David Sparrow
- VA Boston Healthcare System and Department of Medicine, Boston
University School of Medicine, Boston, MA, USA
| | - Augusto A. Litonjua
- Channing Division of Network Medicine, Brigham and Women’s
Hospital, Boston, MA, USA,Division of Pulmonary and Critical Care Medicine, Brigham and
Women’s Hospital, Boston, MA, USA
| | - Per Bakke
- Department of Clinical Science, University of Bergen, Bergen,
Norway
| | - Amund Gulsvik
- Department of Clinical Science, University of Bergen, Bergen,
Norway
| | - Lies Lahousse
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the
Netherlands,Department of Respiratory Medicine, Ghent University Hospital,
Ghent, Belgium
| | - Guy G. Brusselle
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the
Netherlands,Department of Respiratory Medicine, Ghent University Hospital,
Ghent, Belgium,Department of Respiratory Medicine, Erasmus Medical Center,
Rotterdam, the Netherlands
| | - Bruno H. Stricker
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the
Netherlands,Netherlands Health Care Inspectorate, The Hague, the
Netherlands,Department of Internal Medicine, Erasmus Medical Center, Rotterdam,
the Netherlands,Netherlands Genomics Initiative (NGI)-sponsored Netherlands
Consortium for Healthy Aging (NCHA), Leiden, the Netherlands
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the
Netherlands,Department of Internal Medicine, Erasmus Medical Center, Rotterdam,
the Netherlands,Netherlands Genomics Initiative (NGI)-sponsored Netherlands
Consortium for Healthy Aging (NCHA), Leiden, the Netherlands
| | - Elizabeth J. Ampleford
- Center for Genomics and Personalized Medicine Research, Wake Forest
University School of Medicine, Winston Salem, NC, USA
| | - Eugene R. Bleecker
- Center for Genomics and Personalized Medicine Research, Wake Forest
University School of Medicine, Winston Salem, NC, USA
| | - Prescott G. Woodruff
- Cardiovascular Research Institute and the Department of Medicine,
Division of Pulmonary, Critical Care, Sleep, and Allergy, University of California
at San Francisco, San Francisco, CA, USA
| | - Deborah A. Meyers
- Center for Genomics and Personalized Medicine Research, Wake Forest
University School of Medicine, Winston Salem, NC, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women’s
Hospital, Boston, MA, USA
| | | | - Jae-Joon Yim
- Division of Pulmonary and Critical Care Medicine, Department of
Internal Medicine, Seoul National University College of Medicine, Seoul, South
Korea
| | - Deog Kyeom Kim
- Seoul National University College of Medicine, SMG-SNU Boramae
Medical Center, Seoul, South Korea
| | - Iwona Hawrylkiewicz
- 2nd Department of Respiratory Medicine, Institute of Tuberculosis
and Lung Diseases, Warsaw, Poland
| | - Pawel Sliwinski
- 2nd Department of Respiratory Medicine, Institute of Tuberculosis
and Lung Diseases, Warsaw, Poland
| | - Megan Hardin
- Channing Division of Network Medicine, Brigham and Women’s
Hospital, Boston, MA, USA,Division of Pulmonary and Critical Care Medicine, Brigham and
Women’s Hospital, Boston, MA, USA,Clinical Discovery Unit, AstraZeneca, Cambridge, UK
| | - Tasha E. Fingerlin
- Center for Genes, Environment and Health, National Jewish Health,
Denver, CO, USA,Department of Biostatistics and Informatics, University of Colorado
Denver, Aurora, CO, USA
| | - David A. Schwartz
- Center for Genes, Environment and Health, National Jewish Health,
Denver, CO, USA,Department of Medicine, School of Medicine, University of Colorado
Denver, Aurora, CO, USA,Department of Immunology, School of Medicine, University of
Colorado Denver, Aurora, CO, USA
| | - Dirkje S. Postma
- University of Groningen, University Medical Center Groningen,
Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the
Netherlands,University of Groningen, University Medical Center Groningen,
Department of Pulmonology, Groningen, the Netherlands
| | | | - Martin D. Tobin
- Genetic Epidemiology Group, Department of Health Sciences,
University of Leicester, Leicester, UK,National Institute for Health Research (NIHR) Leicester Respiratory
Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Brigham and Women’s
Hospital, Boston, MA, USA,Division of Pulmonary and Critical Care Medicine, Brigham and
Women’s Hospital, Boston, MA, USA
| | - H. Marike Boezen
- University of Groningen, University Medical Center Groningen,
Department of Epidemiology, Groningen, the Netherlands,University of Groningen, University Medical Center Groningen,
Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the
Netherlands
| | - Michael H. Cho
- Channing Division of Network Medicine, Brigham and Women’s
Hospital, Boston, MA, USA,Division of Pulmonary and Critical Care Medicine, Brigham and
Women’s Hospital, Boston, MA, USA,Corresponding author: Michael H. Cho
(), tel: 617-525-0897, fax:
888-487-1078
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Putman RK, Hatabu H, Araki T, Gudmundsson G, Gao W, Nishino M, Okajima Y, Dupuis J, Latourelle JC, Cho MH, El-Chemaly S, Coxson HO, Celli BR, Fernandez IE, Zazueta OE, Ross JC, Harmouche R, Estépar RSJ, Diaz AA, Sigurdsson S, Gudmundsson EF, Eiríksdottír G, Aspelund T, Budoff MJ, Kinney GL, Hokanson JE, Williams MC, Murchison JT, MacNee W, Hoffmann U, O’Donnell CJ, Launer LJ, Harrris TB, Gudnason V, Silverman EK, O’Connor GT, Washko GR, Rosas IO, Hunninghake GM. Association Between Interstitial Lung Abnormalities and All-Cause Mortality. JAMA 2016; 315:672-81. [PMID: 26881370 PMCID: PMC4828973 DOI: 10.1001/jama.2016.0518] [Citation(s) in RCA: 293] [Impact Index Per Article: 36.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
IMPORTANCE Interstitial lung abnormalities have been associated with lower 6-minute walk distance, diffusion capacity for carbon monoxide, and total lung capacity. However, to our knowledge, an association with mortality has not been previously investigated. OBJECTIVE To investigate whether interstitial lung abnormalities are associated with increased mortality. DESIGN, SETTING, AND POPULATION Prospective cohort studies of 2633 participants from the FHS (Framingham Heart Study; computed tomographic [CT] scans obtained September 2008-March 2011), 5320 from the AGES-Reykjavik Study (Age Gene/Environment Susceptibility; recruited January 2002-February 2006), 2068 from the COPDGene Study (Chronic Obstructive Pulmonary Disease; recruited November 2007-April 2010), and 1670 from ECLIPSE (Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints; between December 2005-December 2006). EXPOSURES Interstitial lung abnormality status as determined by chest CT evaluation. MAIN OUTCOMES AND MEASURES All-cause mortality over an approximate 3- to 9-year median follow-up time. Cause-of-death information was also examined in the AGES-Reykjavik cohort. RESULTS Interstitial lung abnormalities were present in 177 (7%) of the 2633 participants from FHS, 378 (7%) of 5320 from AGES-Reykjavik, 156 (8%) of 2068 from COPDGene, and in 157 (9%) of 1670 from ECLIPSE. Over median follow-up times of approximately 3 to 9 years, there were more deaths (and a greater absolute rate of mortality) among participants with interstitial lung abnormalities when compared with those who did not have interstitial lung abnormalities in the following cohorts: 7% vs 1% in FHS (6% difference [95% CI, 2% to 10%]), 56% vs 33% in AGES-Reykjavik (23% difference [95% CI, 18% to 28%]), and 11% vs 5% in ECLIPSE (6% difference [95% CI, 1% to 11%]). After adjustment for covariates, interstitial lung abnormalities were associated with a higher risk of death in the FHS (hazard ratio [HR], 2.7 [95% CI, 1.1 to 6.5]; P = .03), AGES-Reykjavik (HR, 1.3 [95% CI, 1.2 to 1.4]; P < .001), COPDGene (HR, 1.8 [95% CI, 1.1 to 2.8]; P = .01), and ECLIPSE (HR, 1.4 [95% CI, 1.1 to 2.0]; P = .02) cohorts. In the AGES-Reykjavik cohort, the higher rate of mortality could be explained by a higher rate of death due to respiratory disease, specifically pulmonary fibrosis. CONCLUSIONS AND RELEVANCE In 4 separate research cohorts, interstitial lung abnormalities were associated with a greater risk of all-cause mortality. The clinical implications of this association require further investigation.
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Affiliation(s)
- Rachel K. Putman
- Pulmonary and Critical Care Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Hiroto Hatabu
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Center for Pulmonary Functional Imaging, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Tetsuro Araki
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Center for Pulmonary Functional Imaging, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Gunnar Gudmundsson
- Department of Respiratory Medicine and Sleep, Landspital University Hospital, University of Iceland, Faculty of Medicine
| | - Wei Gao
- Department of Biostatistics, Boston University School of Public Health
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Center for Pulmonary Functional Imaging, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Yuka Okajima
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Department of Radiology, St. Luke’s International Hospital, Tokyo, Japan
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham MA
| | - Jeanne C. Latourelle
- Pulmonary Center, Department of Medicine, Boston University, Boston, MA
- Department of Neurology, Boston University, Boston, MA
| | - Michael H. Cho
- Pulmonary and Critical Care Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- The Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Souheil El-Chemaly
- Pulmonary and Critical Care Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Harvey O. Coxson
- Department of Radiology, University of British Columbia, Vancouver, B.C., Canada
| | - Bartolome R. Celli
- Pulmonary and Critical Care Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Isis E. Fernandez
- Pulmonary and Critical Care Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Comprehensive Pneumology Center, Ludwig-Maximilians-University, University Hospital Grosshadern, and Helmholtz Zentrum München; Member of the German Center for Lung Research, Munich, Germany
| | - Oscar E. Zazueta
- Pulmonary and Critical Care Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - James C. Ross
- The Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Boston MA
| | - Rola Harmouche
- Pulmonary and Critical Care Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Boston MA
| | - Raúl San José Estépar
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Boston MA
| | - Alejandro A. Diaz
- Pulmonary and Critical Care Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | | | | | | | - Thor Aspelund
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Matthew J. Budoff
- Department of Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, California
| | - Gregory L. Kinney
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Denver, Colorado
| | - John E. Hokanson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Denver, Colorado
| | - Michelle C Williams
- University of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Edinburgh, Scotland
| | - John T. Murchison
- Royal Infirmary of Edinburgh, University of Edinburgh, Edinburgh, Scotland
| | - William MacNee
- Centre for Inflammation Research, University of Edinburgh, Edinburgh, Scotland
| | - Udo Hoffmann
- Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Christopher J. O’Donnell
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham MA
- Cardiovascular Epidemiology and Human Genomics Branch, NHLBI Division of Intramural Research, Bethesda, MD
| | - Lenore J. Launer
- Intramural Research Program, National Institute of Aging, NIH, Bethesda, MD
| | - Tamara B. Harrris
- Intramural Research Program, National Institute of Aging, NIH, Bethesda, MD
| | | | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Edwin K. Silverman
- Pulmonary and Critical Care Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- The Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - George T. O’Connor
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham MA
- Pulmonary Center, Department of Medicine, Boston University, Boston, MA
| | - George R. Washko
- Pulmonary and Critical Care Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Center for Pulmonary Functional Imaging, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Ivan O. Rosas
- Pulmonary and Critical Care Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Gary M. Hunninghake
- Pulmonary and Critical Care Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Center for Pulmonary Functional Imaging, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
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Gottlieb DJ, Hek K, Chen TH, Watson NF, Eiriksdottir G, Byrne EM, Cornelis M, Warby SC, Bandinelli S, Cherkas L, Evans DS, Grabe HJ, Lahti J, Li M, Lehtimäki T, Lumley T, Marciante KD, Pérusse L, Psaty BM, Robbins J, Tranah GJ, Vink JM, Wilk JB, Stafford JM, Bellis C, Biffar R, Bouchard C, Cade B, Curhan GC, Eriksson JG, Ewert R, Ferrucci L, Fülöp T, Gehrman PR, Goodloe R, Harris TB, Heath AC, Hernandez D, Hofman A, Hottenga JJ, Hunter DJ, Jensen MK, Johnson AD, Kähönen M, Kao L, Kraft P, Larkin EK, Lauderdale DS, Luik AI, Medici M, Montgomery GW, Palotie A, Patel SR, Pistis G, Porcu E, Quaye L, Raitakari O, Redline S, Rimm EB, Rotter JI, Smith AV, Spector TD, Teumer A, Uitterlinden AG, Vohl MC, Widen E, Willemsen G, Young T, Zhang X, Liu Y, Blangero J, Boomsma DI, Gudnason V, Hu F, Mangino M, Martin NG, O’Connor GT, Stone KL, Tanaka T, Viikari J, Gharib SA, Punjabi NM, Räikkönen K, Völzke H, Mignot E, Tiemeier H. Novel loci associated with usual sleep duration: the CHARGE Consortium Genome-Wide Association Study. Mol Psychiatry 2015; 20:1232-9. [PMID: 25469926 PMCID: PMC4430294 DOI: 10.1038/mp.2014.133] [Citation(s) in RCA: 82] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2013] [Revised: 09/01/2014] [Accepted: 09/04/2014] [Indexed: 12/22/2022]
Abstract
Usual sleep duration is a heritable trait correlated with psychiatric morbidity, cardiometabolic disease and mortality, although little is known about the genetic variants influencing this trait. A genome-wide association study (GWAS) of usual sleep duration was conducted using 18 population-based cohorts totaling 47 180 individuals of European ancestry. Genome-wide significant association was identified at two loci. The strongest is located on chromosome 2, in an intergenic region 35- to 80-kb upstream from the thyroid-specific transcription factor PAX8 (lowest P=1.1 × 10(-9)). This finding was replicated in an African-American sample of 4771 individuals (lowest P=9.3 × 10(-4)). The strongest combined association was at rs1823125 (P=1.5 × 10(-10), minor allele frequency 0.26 in the discovery sample, 0.12 in the replication sample), with each copy of the minor allele associated with a sleep duration 3.1 min longer per night. The alleles associated with longer sleep duration were associated in previous GWAS with a more favorable metabolic profile and a lower risk of attention deficit hyperactivity disorder. Understanding the mechanisms underlying these associations may help elucidate biological mechanisms influencing sleep duration and its association with psychiatric, metabolic and cardiovascular disease.
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Affiliation(s)
- Daniel J. Gottlieb
- VA Boston Healthcare System, Boston, MA,Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women’s Hospital, Boston MA,Boston University School of Medicine, Boston, MA,The NHLBI’s Framingham Heart Study, Framingham, MA
| | - Karin Hek
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands,Epidemiological and Social Psychiatric Research Institute, Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands
| | - Ting-hsu Chen
- VA Boston Healthcare System, Boston, MA,Boston University School of Medicine, Boston, MA
| | - Nathaniel F. Watson
- Department of Neurology, University of Washington, Seattle, WA,UW Medicine Sleep Center, University of Washington, Seattle, WA
| | | | - Enda M. Byrne
- The University of Queensland, Queensland Brain Institute, QLD, Australia,Queensland Institute of Medical Research, Brisbane, Australia
| | - Marilyn Cornelis
- Department of Nutrition, Harvard School of Public Health, Boston, MA,Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Simon C. Warby
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto, CA
| | | | - Lynn Cherkas
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, HELIOS-Hospital Stralsund, University Medicine Greifswald, Germany
| | - Jari Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland,Folkhalsan Research Centre, Helsinki, Finland
| | - Man Li
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and School of Medicine, University of Tampere, Tampere, Finland
| | - Thomas Lumley
- Department of Statistics, University of Auckland, New Zealand
| | - Kristin D. Marciante
- Department of Medicine, University of Washington, Seattle, WA,Cardiovascular Health Research Unit, University of Washington, Seattle, WA
| | - Louis Pérusse
- Department of Kinesiology, Laval University, Quebec, Canada,Institute of Nutrition and Functional Foods, Laval University, Quebec, Canada
| | - Bruce M. Psaty
- Department of Medicine, University of Washington, Seattle, WA,Cardiovascular Health Research Unit, University of Washington, Seattle, WA,Department of Epidemiology and Health Services, University of Washington, Seattle, WA,Group Health Research Institute, Group Health Cooperative, Seattle, WA
| | - John Robbins
- Department of Internal Medicine, University of California Davis, Sacramento CA
| | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - Jacqueline M. Vink
- Department of Biological Psychology, Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | | | - Jeanette M. Stafford
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Claire Bellis
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Reiner Biffar
- Department of Prosthodontics, Gerodontology and Dental Materials, Center of Oral Health, University Medicine Greifswald, Germany
| | - Claude Bouchard
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Brian Cade
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women’s Hospital, Boston MA
| | - Gary C. Curhan
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA,Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Johan G. Eriksson
- Folkhalsan Research Centre, Helsinki, Finland,Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland,Helsinki University Central Hospital, Helsinki, Finland,National Institute for Health and Welfare, Finland,Vasa Central Hospital, Vasa, Finland
| | - Ralf Ewert
- Department of Internal Medicine B – Cardiology, Pulmonary Medicine, Infectious Diseases and Intensive Care Medicine, University Medicine Greifswald, Germany
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore MD
| | - Tibor Fülöp
- University of Mississippi Medical Center, Jackson, MS
| | - Philip R. Gehrman
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Robert Goodloe
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN
| | - Tamara B. Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD
| | - Andrew C. Heath
- Department of Psychiatry, Washington University School of Medicine, StLouis, MO
| | - Dena Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD
| | - Albert Hofman
- Epidemiological and Social Psychiatric Research Institute, Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - David J. Hunter
- Department of Epidemiology, Harvard School of Public Health, Boston, MA,Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, MA
| | - Majken K. Jensen
- Department of Nutrition, Harvard School of Public Health, Boston, MA
| | - Andrew D. Johnson
- NHLBI Cardiovascular Epidemiology and Human Genomics Branch, The Framingham Heart Study, Framingham, MA
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and School of Medicine, University of Tampere, Tampere, Finland
| | - Linda Kao
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health
| | - Peter Kraft
- Department of Epidemiology, Harvard School of Public Health, Boston, MA,Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, MA
| | | | | | - Annemarie I. Luik
- Epidemiological and Social Psychiatric Research Institute, Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands
| | - Marco Medici
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands,Meta-Thyroid Consortium
| | | | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland,Program in Medical and Population Genetics and Genetic Analysis Platform, The Broad Institute of MIT and Harvard, Cambridge, MA,Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
| | - Sanjay R. Patel
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women’s Hospital, Boston MA
| | - Giorgio Pistis
- Meta-Thyroid Consortium,Division of Genetics and Cell Biology, San Raffaele Research Institute, Milano, Italy,Universita` degli Studi di Trieste, Trieste, Italy,Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy,Dipartimento di Scienze Biomediche, Universita` di Sassari, Sassari, Italy
| | - Eleonora Porcu
- Meta-Thyroid Consortium,Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy,Dipartimento di Scienze Biomediche, Universita` di Sassari, Sassari, Italy
| | - Lydia Quaye
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, and Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Finland
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women’s Hospital, Boston MA
| | - Eric B. Rimm
- Department of Nutrition, Harvard School of Public Health, Boston, MA,Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA,Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Albert V. Smith
- Icelandic Heart Association, Iceland,University of Iceland, Reykjavik, Iceland
| | - Tim D. Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine, Greifswald, Germany,Institute for Community Medicine, University Medicine Greifswald
| | - André G. Uitterlinden
- Epidemiological and Social Psychiatric Research Institute, Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands,Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands,Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging, Leiden, The Netherlands
| | - Marie-Claude Vohl
- Institute of Nutrition and Functional Foods, Laval University, Quebec, Canada,Department of Food Science and Nutrition, Laval University, Quebec, Canada
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Gonneke Willemsen
- Department of Biological Psychology, Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - Terry Young
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI
| | - Xiaoling Zhang
- NHLBI Cardiovascular Epidemiology and Human Genomics Branch, The Framingham Heart Study, Framingham, MA
| | - Yongmei Liu
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - John Blangero
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Dorret I. Boomsma
- Department of Biological Psychology, Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - Vilmundur Gudnason
- Icelandic Heart Association, Iceland,University of Iceland, Reykjavik, Iceland
| | - Frank Hu
- Department of Nutrition, Harvard School of Public Health, Boston, MA,Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA,Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | | | - George T. O’Connor
- Boston University School of Medicine, Boston, MA,The NHLBI’s Framingham Heart Study, Framingham, MA
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore MD
| | - Jorma Viikari
- Department of Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Sina A. Gharib
- UW Medicine Sleep Center, University of Washington, Seattle, WA,Department of Medicine, University of Washington, Seattle, WA
| | - Naresh M. Punjabi
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health,Department of Medicine, Johns Hopkins University School of Medicine
| | - Katri Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald
| | - Emmanuel Mignot
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto, CA
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands,Epidemiological and Social Psychiatric Research Institute, Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands,Department of Child and Adolescent Psychiatry, Erasmus MC, Rotterdam, The Netherlands
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Obeidat M, Hao K, Bossé Y, Nickle DC, Nie Y, Postma DS, Laviolette M, Sandford AJ, Daley DD, Hogg JC, Elliott WM, Fishbane N, Timens W, Hysi PG, Kaprio J, Wilson JF, Hui J, Rawal R, Schulz H, Stubbe B, Hayward C, Polasek O, Järvelin MR, Zhao JH, Jarvis D, Kähönen M, Franceschini N, North KE, Loth DW, Brusselle GG, Smith AV, Gudnason V, Bartz TM, Wilk JB, O’Connor GT, Cassano PA, Tang W, Wain LV, Artigas MS, Gharib SA, Strachan DP, Sin DD, Tobin MD, London SJ, Hall IP, Paré PD. Molecular mechanisms underlying variations in lung function: a systems genetics analysis. Lancet Respir Med 2015; 3:782-95. [PMID: 26404118 PMCID: PMC5021067 DOI: 10.1016/s2213-2600(15)00380-x] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Revised: 08/06/2015] [Accepted: 08/12/2015] [Indexed: 02/02/2023]
Abstract
BACKGROUND Lung function measures reflect the physiological state of the lung, and are essential to the diagnosis of chronic obstructive pulmonary disease (COPD). The SpiroMeta-CHARGE consortium undertook the largest genome-wide association study (GWAS) so far (n=48,201) for forced expiratory volume in 1 s (FEV1) and the ratio of FEV1 to forced vital capacity (FEV1/FVC) in the general population. The lung expression quantitative trait loci (eQTLs) study mapped the genetic architecture of gene expression in lung tissue from 1111 individuals. We used a systems genetics approach to identify single nucleotide polymorphisms (SNPs) associated with lung function that act as eQTLs and change the level of expression of their target genes in lung tissue; termed eSNPs. METHODS The SpiroMeta-CHARGE GWAS results were integrated with lung eQTLs to map eSNPs and the genes and pathways underlying the associations in lung tissue. For comparison, a similar analysis was done in peripheral blood. The lung mRNA expression levels of the eSNP-regulated genes were tested for associations with lung function measures in 727 individuals. Additional analyses identified the pleiotropic effects of eSNPs from the published GWAS catalogue, and mapped enrichment in regulatory regions from the ENCODE project. Finally, the Connectivity Map database was used to identify potential therapeutics in silico that could reverse the COPD lung tissue gene signature. FINDINGS SNPs associated with lung function measures were more likely to be eQTLs and vice versa. The integration mapped the specific genes underlying the GWAS signals in lung tissue. The eSNP-regulated genes were enriched for developmental and inflammatory pathways; by comparison, SNPs associated with lung function that were eQTLs in blood, but not in lung, were only involved in inflammatory pathways. Lung function eSNPs were enriched for regulatory elements and were over-represented among genes showing differential expression during fetal lung development. An mRNA gene expression signature for COPD was identified in lung tissue and compared with the Connectivity Map. This in-silico drug repurposing approach suggested several compounds that reverse the COPD gene expression signature, including a nicotine receptor antagonist. These findings represent novel therapeutic pathways for COPD. INTERPRETATION The system genetics approach identified lung tissue genes driving the variation in lung function and susceptibility to COPD. The identification of these genes and the pathways in which they are enriched is essential to understand the pathophysiology of airway obstruction and to identify novel therapeutic targets and biomarkers for COPD, including drugs that reverse the COPD gene signature in silico. FUNDING The research reported in this article was not specifically funded by any agency. See Acknowledgments for a full list of funders of the lung eQTL study and the Spiro-Meta CHARGE GWAS.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Peter D Paré
- University of British Columbia Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, BC, Canada; Respiratory Division, Department of Medicine, University of British Columbia, Vancouver, BC, Canada.
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Manichaikul A, Hoffman EA, Smolonska J, Gao W, Cho MH, Baumhauer H, Budoff M, Austin JHM, Washko GR, Carr JJ, Kaufman JD, Pottinger T, Powell CA, Wijmenga C, Zanen P, Groen HJM, Postma DS, Wanner A, Rouhani FN, Brantly ML, Powell R, Smith BM, Rabinowitz D, Raffel LJ, Hinckley Stukovsky KD, Crapo JD, Beaty TH, Hokanson JE, Silverman EK, Dupuis J, O’Connor GT, Boezen HM, Rich SS, Barr RG. Genome-wide study of percent emphysema on computed tomography in the general population. The Multi-Ethnic Study of Atherosclerosis Lung/SNP Health Association Resource Study. Am J Respir Crit Care Med 2014; 189:408-18. [PMID: 24383474 PMCID: PMC3977717 DOI: 10.1164/rccm.201306-1061oc] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2013] [Accepted: 12/18/2013] [Indexed: 11/16/2022] Open
Abstract
RATIONALE Pulmonary emphysema overlaps partially with spirometrically defined chronic obstructive pulmonary disease and is heritable, with moderately high familial clustering. OBJECTIVES To complete a genome-wide association study (GWAS) for the percentage of emphysema-like lung on computed tomography in the Multi-Ethnic Study of Atherosclerosis (MESA) Lung/SNP Health Association Resource (SHARe) Study, a large, population-based cohort in the United States. METHODS We determined percent emphysema and upper-lower lobe ratio in emphysema defined by lung regions less than -950 HU on cardiac scans. Genetic analyses were reported combined across four race/ethnic groups: non-Hispanic white (n = 2,587), African American (n = 2,510), Hispanic (n = 2,113), and Chinese (n = 704) and stratified by race and ethnicity. MEASUREMENTS AND MAIN RESULTS Among 7,914 participants, we identified regions at genome-wide significance for percent emphysema in or near SNRPF (rs7957346; P = 2.2 × 10(-8)) and PPT2 (rs10947233; P = 3.2 × 10(-8)), both of which replicated in an additional 6,023 individuals of European ancestry. Both single-nucleotide polymorphisms were previously implicated as genes influencing lung function, and analyses including lung function revealed independent associations for percent emphysema. Among Hispanics, we identified a genetic locus for upper-lower lobe ratio near the α-mannosidase-related gene MAN2B1 (rs10411619; P = 1.1 × 10(-9); minor allele frequency [MAF], 4.4%). Among Chinese, we identified single-nucleotide polymorphisms associated with upper-lower lobe ratio near DHX15 (rs7698250; P = 1.8 × 10(-10); MAF, 2.7%) and MGAT5B (rs7221059; P = 2.7 × 10(-8); MAF, 2.6%), which acts on α-linked mannose. Among African Americans, a locus near a third α-mannosidase-related gene, MAN1C1 (rs12130495; P = 9.9 × 10(-6); MAF, 13.3%) was associated with percent emphysema. CONCLUSIONS Our results suggest that some genes previously identified as influencing lung function are independently associated with emphysema rather than lung function, and that genes related to α-mannosidase may influence risk of emphysema.
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Affiliation(s)
- Ani Manichaikul
- Center for Public Health Genomics, and
- Department of Public Health Sciences, Division of Biostatistics and Epidemiology, University of Virginia, Charlottesville, Virginia
| | - Eric A. Hoffman
- Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa
| | | | - Wei Gao
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Michael H. Cho
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, and
| | - Heather Baumhauer
- Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, Iowa
| | - Matthew Budoff
- Division of Cardiology, Los Angeles Biomedical Research Institute, Torrance, California
| | - John H. M. Austin
- Department of Radiology, Columbia University Medical Center, New York, New York
| | - George R. Washko
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham & Women's Hospital, Boston, Massachusetts
| | - J. Jeffrey Carr
- Department of Radiology, Wake Forest University, Winston-Salem, North Carolina
| | - Joel D. Kaufman
- Department of Environmental & Occupational Health Sciences, Medicine, and Epidemiology, and
| | - Tess Pottinger
- Department of Medicine, College of Physicians and Surgeons
| | | | | | - Pieter Zanen
- Department of Pulmonology, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Dirkje S. Postma
- Department of Pulmonology, and
- GRIAC Research Institute, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Adam Wanner
- Division of Pulmonary and Critical Care Medicine, University of Miami Miller School of Medicine, Miami, Florida
| | - Farshid N. Rouhani
- Division of Pulmonary Critical Care and Sleep Medicine, College of Medicine, University of Florida, Gainesville, Florida
| | - Mark L. Brantly
- Division of Pulmonary Critical Care and Sleep Medicine, College of Medicine, University of Florida, Gainesville, Florida
| | - Rhea Powell
- Department of Medicine, College of Physicians and Surgeons
| | | | | | - Leslie J. Raffel
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | | | - James D. Crapo
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, National Jewish Health, Denver, Colorado
| | - Terri H. Beaty
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - John E. Hokanson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Denver, Colorado
| | - Edwin K. Silverman
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, and
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- The National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; and
| | - George T. O’Connor
- The National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts; and
- Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - H. Marike Boezen
- Department of Epidemiology
- GRIAC Research Institute, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | | | - R. Graham Barr
- Department of Medicine, College of Physicians and Surgeons
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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Kantor DB, Palmer CD, Young TR, Meng Y, Gajdos ZK, Lyon H, Price AL, Pollack S, London SJ, Loehr LR, Smith LJ, Kumar R, Jacobs DR, Petrini MF, O’Connor GT, White WB, Papanicolaou G, Burkart KM, Heckbert SR, Barr RG, Hirschhorn JN. Replication and fine mapping of asthma-associated loci in individuals of African ancestry. Hum Genet 2013; 132:1039-47. [PMID: 23666277 PMCID: PMC3975655 DOI: 10.1007/s00439-013-1310-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2013] [Accepted: 04/19/2013] [Indexed: 12/14/2022]
Abstract
Asthma originates from genetic and environmental factors with about half the risk of disease attributable to heritable causes. Genome-wide association studies, mostly in populations of European ancestry, have identified numerous asthma-associated single nucleotide polymorphisms (SNPs). Studies in populations with diverse ancestries allow both for identification of robust associations that replicate across ethnic groups and for improved resolution of associated loci due to different patterns of linkage disequilibrium between ethnic groups. Here we report on an analysis of 745 African-American subjects with asthma and 3,238 African-American control subjects from the Candidate Gene Association Resource (CARe) Consortium, including analysis of SNPs imputed using 1,000 Genomes reference panels and adjustment for local ancestry. We show strong evidence that variation near RAD50/IL13, implicated in studies of European ancestry individuals, replicates in individuals largely of African ancestry. Fine mapping in African ancestry populations also refined the variants of interest for this association. We also provide strong or nominal evidence of replication at loci near ORMDL3/GSDMB, IL1RL1/IL18R1, and 10p14, all previously associated with asthma in European or Japanese populations, but not at the PYHIN1 locus previously reported in studies of African-American samples. These results improve the understanding of asthma genetics and further demonstrate the utility of genetic studies in populations other than those of largely European ancestry.
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Affiliation(s)
- David B. Kantor
- Division of Critical Care Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children’s Hospital, 300 Longwood Avenue, Boston, MA 02115, USA
| | - Cameron D. Palmer
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Taylor R. Young
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Yan Meng
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Zofia K. Gajdos
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Helen Lyon
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
| | - Alkes L. Price
- Departments of Epidemiology and Biostatistics, Harvard School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA
| | - Samuela Pollack
- Departments of Epidemiology and Biostatistics, Harvard School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA
| | - Stephanie J. London
- Division of Intramural Research, DHHS, National Institute of Environmental Health Sciences, National Institutes of Health, PO Box 12233, Research Triangle Park, NC 27709, USA
| | - Laura R. Loehr
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC 27599, USA
| | - Lewis J. Smith
- Northwestern University, Feinberg School of Medicine, Division of Pulmonary and Critical Care Medicine, 240 E. Huron Ave, Chicago, IL 60611, USA
| | - Rajesh Kumar
- Ann & Robert H. Lurie Children’s Hospital of Chicago, 225 E Chicago Avenue, Chicago, IL 60611, USA
| | - David R. Jacobs
- Division of Epidemiology and Community Health, University of Minnesota, 1300 S. 2nd Street Suite 300, Minneapolis, MN 55454, USA
| | - Marcy F. Petrini
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Mississippi Medical Center, 2500 North State St, Jackson, MS 39216-4505, USA
| | - George T. O’Connor
- Department of Medicine, Pulmonary Center, Boston University School of Medicine, Room R 304, 72. E. Concord St, Boston, MA 02118, USA
| | - Wendy B. White
- Tougaloo College and Jackson Heart Study, 500 West County Line Road, Tougaloo, MS 39174, USA
| | - George Papanicolaou
- Division of Prevention and Population Sciences, National Heart, Lung and Blood Institute, National Institutes of Health, Two Rockledge Center, Suite 10018 6701 Rockledge Drive, MSC 7936, Bethesda, MD 20892-7936, USA
| | - Kristin M. Burkart
- Division of Pulmonary, Allergy and Critical Care, College of Physicians and Surgeons, Columbia University, 622 West 168th Street, PH 8 East, Room 101, New York, NY 10032, USA
| | - Susan R. Heckbert
- University of Washington, Department of Epidemiology, School of Public Health, Cardiovascular Health Research Unit, 1730 Minor Avenue, Suite 1360, Seattle, WA 98101-1466, USA
| | - R. Graham Barr
- Department of Medicine, College of Physicians and Surgeons, Department of Epidemiology, Mailman School of Public Health, Columbia University, PH 9 East, Room 105, New York, NY 10032, USA
| | - Joel N. Hirschhorn
- Program in Medical and Population Genetics, Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA
- Division of Endocrinology, Boston Children’s Hospital, 300 Longwood Avenue, Boston, MA 02115, USA
- Departments of Genetics and Pediatrics, Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA
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Rosenquist KJ, Massaro JM, Pencina KM, D’Agostino RB, Beiser A, O’Connor GT, O’Donnell CJ, Wolf PA, Polak JF, Seshadri S, Fox CS. Neck circumference, carotid wall intima-media thickness, and incident stroke. Diabetes Care 2013; 36:e153-4. [PMID: 23970728 PMCID: PMC3747939 DOI: 10.2337/dc13-0379] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Klara J. Rosenquist
- Division of Endocrinology and Metabolism, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
- National Heart, Lung, and Blood Institute Division of Intra-mural Research and the Center for Population Studies, Framingham, Massachusetts
| | - Joseph M. Massaro
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Karol M. Pencina
- Department of Mathematics and Statistics, Boston University, Boston, Massachusetts
| | - Ralph B. D’Agostino
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
- Department of Mathematics and Statistics, Boston University, Boston, Massachusetts
| | - Alexa Beiser
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - George T. O’Connor
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Christopher J. O’Donnell
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
- National Heart, Lung, and Blood Institute Division of Intra-mural Research and the Center for Population Studies, Framingham, Massachusetts
| | - Philip A. Wolf
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Joseph F. Polak
- Department of Radiology, Tufts Medical Center, Boston, Massachusetts
| | - Sudha Seshadri
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Caroline S. Fox
- Division of Endocrinology and Metabolism, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
- National Heart, Lung, and Blood Institute Division of Intra-mural Research and the Center for Population Studies, Framingham, Massachusetts
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Szefler SJ, Mitchell H, Sorkness CA, Gergen PJ, O’Connor GT, Morgan WJ, Kattan M, Pongracic JA, Teach SJ, Bloomberg GR, Eggleston PA, Gruchalla RS, Kercsmar CM, Liu AH, Wildfire JJ, Curry MD, Busse WW. Management of asthma based on exhaled nitric oxide in addition to guideline-based treatment for inner-city adolescents and young adults: a randomised controlled trial. Lancet 2008; 372:1065-72. [PMID: 18805335 PMCID: PMC2610850 DOI: 10.1016/s0140-6736(08)61448-8] [Citation(s) in RCA: 315] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
BACKGROUND Preliminary evidence is equivocal about the role of exhaled nitric oxide (NO) in clinical asthma management. We aimed to assess whether measurement of exhaled NO, as a biomarker of airway inflammation, could increase the effectiveness of asthma treatment, when used as an adjunct to clinical care based on asthma guidelines for inner-city adolescents and young adults. METHODS We did a randomised, double-blind, parallel-group trial at ten centres in the USA. We screened 780 inner-city patients, aged 12-20 years, who had persistent asthma. All patients completed a run-in period of 3 weeks on a regimen based on standard treatment. 546 eligible participants who adhered to treatment during this run-in period were then randomly assigned to 46 weeks of either standard treatment, based on the guidelines of the National Asthma Education and Prevention Program (NAEPP), or standard treatment modified on the basis of measurements of fraction of exhaled NO. The primary outcome was the number of days with asthma symptoms. We analysed patients on an intention-to-treat basis. This trial is registered with clinicaltrials.gov, number NCT00114413. FINDINGS During the 46-week treatment period, the mean number of days with asthma symptoms did not differ between the treatment groups (1.93 [95% CI 1.74 to 2.11] in the NO monitoring group vs 1.89 [1.71 to 2.07] in the control group; difference 0.04 [-0.22 to 0.29], p=0.780). Other symptoms, pulmonary function, and asthma exacerbations did not differ between groups. Patients in the NO monitoring group received higher doses of inhaled corticosteroids (difference 119 mug per day, 95% CI 49 to 189, p=0.001) than controls. Adverse events did not differ between treatment groups (p>0.1 for all adverse events). INTERPRETATION Conventional asthma management resulted in good control of symptoms in most participants. The addition of fraction of exhaled NO as an indicator of control of asthma resulted in higher doses of inhaled corticosteroids, without clinically important improvements in symptomatic asthma control.
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Affiliation(s)
- Stanley J. Szefler
- National Jewish Medical and Research Center and University of Colorado Health Science Center, Denver, CO
| | | | | | - Peter J. Gergen
- National Institute of Allergy and Infectious Diseases, Bethesda, MD
| | | | | | | | | | | | | | | | | | | | - Andrew H. Liu
- National Jewish Medical and Research Center and University of Colorado Health Science Center, Denver, CO
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Lee TA, Gao CY, Walter B, O’Connor GT, Sullivan SD, Buist AS, Weiss KB. RATE OF DISEASE PROGRESSION IN PATIENTS WITH COPD IN THE FRAMINGHAM HEART STUDY COHORT. Chest 2006. [DOI: 10.1378/chest.130.4_meetingabstracts.97s-c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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