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Felber J, Bläker H, Fischbach W, Koletzko S, Laaß M, Lachmann N, Lorenz P, Lynen P, Reese I, Scherf K, Schuppan D, Schumann M, Aust D, Baas S, Beisel S, de Laffolie J, Duba E, Holtmeier W, Lange L, Loddenkemper C, Moog G, Rath T, Roeb E, Rubin D, Stein J, Török H, Zopf Y. Aktualisierte S2k-Leitlinie Zöliakie der Deutschen Gesellschaft für Gastroenterologie, Verdauungs- und Stoffwechselkrankheiten (DGVS). Z Gastroenterol 2022; 60:790-856. [PMID: 35545109 DOI: 10.1055/a-1741-5946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Jörg Felber
- Medizinische Klinik II - Gastroenterologie, Hepatologie, Endokrinologie, Hämatologie und Onkologie, RoMed Klinikum Rosenheim, Rosenheim, Deutschland
| | - Hendrik Bläker
- Institut für Pathologie, Universitätsklinikum Leipzig AöR, Leipzig, Deutschland
| | | | - Sibylle Koletzko
- Kinderklinik und Kinderpoliklinik im Dr. von Haunerschen Kinderspital, LMU-Klinikum München, München, Deutschland.,Department of Pediatrics, Gastroenterology and Nutrition, School of Medicine Collegium Medicum University of Warmia and Mazury, 10-719 Olsztyn, Polen
| | - Martin Laaß
- Klinik und Poliklinik für Kinder- und Jugendmedizin, Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Dresden, Deutschland
| | - Nils Lachmann
- Institut für Transfusionsmedizin, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - Pia Lorenz
- Deutsche Gesellschaft für Gastroenterologie, Verdauungs- und Stoffwechselkrankheiten (DGVS), Berlin, Deutschland
| | - Petra Lynen
- Deutsche Gesellschaft für Gastroenterologie, Verdauungs- und Stoffwechselkrankheiten (DGVS), Berlin, Deutschland
| | - Imke Reese
- Ernährungsberatung und -therapie Allergologie, München, Deutschland
| | - Katharina Scherf
- Institute of Applied Biosciences Department of Bioactive and Functional Food Chemistry, Karlsruhe Institute of Technology (KIT), Karlsruhe, Deutschland
| | - Detlef Schuppan
- Institut für Translationale Immunologie, Johannes Gutenberg-Universität Mainz, Mainz, Deutschland.,Division of Gastroenterology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Michael Schumann
- Medizinische Klinik I für Gastroenterologie, Infektiologie und Rheumatologie, Charité - Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Deutschland
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Lange L, Forget F, Banfield D, Wolff M, Spiga A, Millour E, Viúdez‐Moreiras D, Bierjon A, Piqueux S, Newman C, Pla‐García J, Banerdt WB. InSight Pressure Data Recalibration, and Its Application to the Study of Long-Term Pressure Changes on Mars. J Geophys Res Planets 2022; 127:e2022JE007190. [PMID: 35865505 PMCID: PMC9286347 DOI: 10.1029/2022je007190] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 05/09/2022] [Accepted: 05/12/2022] [Indexed: 06/15/2023]
Abstract
Observations of the South Polar Residual Cap suggest a possible erosion of the cap, leading to an increase of the global mass of the atmosphere. We test this assumption by making the first comparison between Viking 1 and InSight surface pressure data, which were recorded 40 years apart. Such a comparison also allows us to determine changes in the dynamics of the seasonal ice caps between these two periods. To do so, we first had to recalibrate the InSight pressure data because of their unexpected sensitivity to the sensor temperature. Then, we had to design a procedure to compare distant pressure measurements. We propose two surface pressure interpolation methods at the local and global scale to do the comparison. The comparison of Viking and InSight seasonal surface pressure variations does not show changes larger than ±8 Pa in the CO2 cycle. Such conclusions are supported by an analysis of Mars Science Laboratory (MSL) pressure data. Further comparisons with images of the south seasonal cap taken by the Viking 2 orbiter and MARCI camera do not display significant changes in the dynamics of this cap over a 40 year period. Only a possible larger extension of the North Cap after the global storm of MY 34 is observed, but the physical mechanisms behind this anomaly are not well determined. Finally, the first comparison of MSL and InSight pressure data suggests a pressure deficit at Gale crater during southern summer, possibly resulting from a large presence of dust suspended within the crater.
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Affiliation(s)
- L. Lange
- Laboratoire de Météorologie Dynamique,Institut Pierre‐Simon Laplace (LMD/IPSL)Sorbonne UniversitéCentre National de la Recherche Scientifique (CNRS), École Polytechnique, École Normale Supérieure (ENS)ParisFrance
| | - F. Forget
- Laboratoire de Météorologie Dynamique,Institut Pierre‐Simon Laplace (LMD/IPSL)Sorbonne UniversitéCentre National de la Recherche Scientifique (CNRS), École Polytechnique, École Normale Supérieure (ENS)ParisFrance
| | - D. Banfield
- Cornell Center for Astrophysics and Planetary ScienceCornell UniversityIthacaNYUSA
| | - M. Wolff
- Space Science InstituteBoulderCOUSA
| | - A. Spiga
- Laboratoire de Météorologie Dynamique,Institut Pierre‐Simon Laplace (LMD/IPSL)Sorbonne UniversitéCentre National de la Recherche Scientifique (CNRS), École Polytechnique, École Normale Supérieure (ENS)ParisFrance
- Institut Universitaire de FranceParisFrance
| | - E. Millour
- Laboratoire de Météorologie Dynamique,Institut Pierre‐Simon Laplace (LMD/IPSL)Sorbonne UniversitéCentre National de la Recherche Scientifique (CNRS), École Polytechnique, École Normale Supérieure (ENS)ParisFrance
| | - D. Viúdez‐Moreiras
- Centro de Astrobiología (CSIC‐INTA) and National Institute for Aerospace Technology (INTA)MadridSpain
| | - A. Bierjon
- Laboratoire de Météorologie Dynamique,Institut Pierre‐Simon Laplace (LMD/IPSL)Sorbonne UniversitéCentre National de la Recherche Scientifique (CNRS), École Polytechnique, École Normale Supérieure (ENS)ParisFrance
| | - S. Piqueux
- Jet Propulsion LaboratoryCalifornia Institute of TechnologyPasadenaCAUSA
| | | | - J. Pla‐García
- Centro de Astrobiología (CSIC‐INTA) and National Institute for Aerospace Technology (INTA)MadridSpain
- Southwest Research InstituteBoulderCOUSA
| | - W. B. Banerdt
- Jet Propulsion LaboratoryCalifornia Institute of TechnologyPasadenaCAUSA
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Longchamps RJ, Yang SY, Castellani CA, Shi W, Lane J, Grove ML, Bartz TM, Sarnowski C, Liu C, Burrows K, Guyatt AL, Gaunt TR, Kacprowski T, Yang J, De Jager PL, Yu L, Bergman A, Xia R, Fornage M, Feitosa MF, Wojczynski MK, Kraja AT, Province MA, Amin N, Rivadeneira F, Tiemeier H, Uitterlinden AG, Broer L, Van Meurs JBJ, Van Duijn CM, Raffield LM, Lange L, Rich SS, Lemaitre RN, Goodarzi MO, Sitlani CM, Mak ACY, Bennett DA, Rodriguez S, Murabito JM, Lunetta KL, Sotoodehnia N, Atzmon G, Ye K, Barzilai N, Brody JA, Psaty BM, Taylor KD, Rotter JI, Boerwinkle E, Pankratz N, Arking DE. Genome-wide analysis of mitochondrial DNA copy number reveals loci implicated in nucleotide metabolism, platelet activation, and megakaryocyte proliferation. Hum Genet 2022; 141:127-146. [PMID: 34859289 PMCID: PMC8758627 DOI: 10.1007/s00439-021-02394-w] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [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: 09/23/2021] [Accepted: 10/22/2021] [Indexed: 12/18/2022]
Abstract
Mitochondrial DNA copy number (mtDNA-CN) measured from blood specimens is a minimally invasive marker of mitochondrial function that exhibits both inter-individual and intercellular variation. To identify genes involved in regulating mitochondrial function, we performed a genome-wide association study (GWAS) in 465,809 White individuals from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank (UKB). We identified 133 SNPs with statistically significant, independent effects associated with mtDNA-CN across 100 loci. A combination of fine-mapping, variant annotation, and co-localization analyses was used to prioritize genes within each of the 133 independent sites. Putative causal genes were enriched for known mitochondrial DNA depletion syndromes (p = 3.09 × 10-15) and the gene ontology (GO) terms for mtDNA metabolism (p = 1.43 × 10-8) and mtDNA replication (p = 1.2 × 10-7). A clustering approach leveraged pleiotropy between mtDNA-CN associated SNPs and 41 mtDNA-CN associated phenotypes to identify functional domains, revealing three distinct groups, including platelet activation, megakaryocyte proliferation, and mtDNA metabolism. Finally, using mitochondrial SNPs, we establish causal relationships between mitochondrial function and a variety of blood cell-related traits, kidney function, liver function and overall (p = 0.044) and non-cancer mortality (p = 6.56 × 10-4).
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Affiliation(s)
- R J Longchamps
- Department of Genetic Medicine, McKusick-Nathans Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - S Y Yang
- Department of Genetic Medicine, McKusick-Nathans Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - C A Castellani
- Department of Genetic Medicine, McKusick-Nathans Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Pathology and Laboratory Medicine, Western University, London, ON, Canada
| | - W Shi
- Department of Genetic Medicine, McKusick-Nathans Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - J Lane
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
| | - M L Grove
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, Human Genetics Center, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - T M Bartz
- Cardiovascular Health Research Unit, Departments of Medicine and Biostatistics, University of Washington, Seattle, WA, USA
| | - C Sarnowski
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - C Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - K Burrows
- MRC Integrative Epidemiology Unit at the University of Bristol, University of Bristol, Oakfield House, Oakfield Grove, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, UK
| | - A L Guyatt
- Department of Health Sciences, University of Leicester, University Road, Leicester, UK
| | - T R Gaunt
- MRC Integrative Epidemiology Unit at the University of Bristol, University of Bristol, Oakfield House, Oakfield Grove, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, UK
| | - T Kacprowski
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
- Data Science in Biomedicine, Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, Brunswick, Germany
| | - J Yang
- Rush Alzheimer's Disease Center and Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - P L De Jager
- Center for Translational and Systems Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - L Yu
- Rush Alzheimer's Disease Center and Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - A Bergman
- Department of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - R Xia
- Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - M Fornage
- Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genetics Center, The University of Texas Health Science Center at Houston, Houston, USA
| | - M F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, USA
| | - M K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, USA
| | - A T Kraja
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, USA
| | - M A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, USA
| | - N Amin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - F Rivadeneira
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - H Tiemeier
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Social and Behavioral Science, Harvard T.H. School of Public Health, Boston, USA
| | - A G Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - L Broer
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - J B J Van Meurs
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - C M Van Duijn
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - L M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - L Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - S S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - R N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - M O Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - C M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - A C Y Mak
- Cardiovascular Research Institute and Institute for Human Genetics, University of California, San Francisco, CA, USA
| | - D A Bennett
- Rush Alzheimer's Disease Center and Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - S Rodriguez
- MRC Integrative Epidemiology Unit at the University of Bristol, University of Bristol, Oakfield House, Oakfield Grove, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, UK
| | - J M Murabito
- Boston University School of Medicine, Boston University, Boston, MA, USA
| | - K L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - N Sotoodehnia
- Cardiovascular Health Research Unit, Division of Cardiology, University of Washington, Seattle, WA, USA
| | - G Atzmon
- Department of Natural Science, University of Haifa, Haifa, Israel
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - K Ye
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - N Barzilai
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - J A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - B M Psaty
- Cardiovascular Health Research Unit, Departments of Epidemiology, Medicine and Health Services, University of Washington, Seattle, WA, USA
| | - K D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - J I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - E Boerwinkle
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, Human Genetics Center, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Baylor College of Medicine, Human Genome Sequencing Center, Houston, TX, USA
| | - N Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
| | - D E Arking
- Department of Genetic Medicine, McKusick-Nathans Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Sarnowski C, Cousminer DL, Franceschini N, Raffield LM, Jia G, Fernández-Rhodes L, Grant SFA, Hakonarson H, Lange LA, Long J, Sofer T, Tao R, Wallace RB, Wong Q, Zirpoli G, Boerwinkle E, Bradfield JP, Correa A, Kooperberg CL, North KE, Palmer JR, Zemel BS, Zheng W, Murabito JM, Lunetta KL. Large trans-ethnic meta-analysis identifies AKR1C4 as a novel gene associated with age at menarche. Hum Reprod 2021; 36:1999-2010. [PMID: 34021356 PMCID: PMC8213450 DOI: 10.1093/humrep/deab086] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 03/12/2021] [Indexed: 12/25/2022] Open
Abstract
STUDY QUESTION Does the expansion of genome-wide association studies (GWAS) to a broader range of ancestries improve the ability to identify and generalise variants associated with age at menarche (AAM) in European populations to a wider range of world populations? SUMMARY ANSWER By including women with diverse and predominantly non-European ancestry in a large-scale meta-analysis of AAM with half of the women being of African ancestry, we identified a new locus associated with AAM in African-ancestry participants, and generalised loci from GWAS of European ancestry individuals. WHAT IS KNOWN ALREADY AAM is a highly polygenic puberty trait associated with various diseases later in life. Both AAM and diseases associated with puberty timing vary by race or ethnicity. The majority of GWAS of AAM have been performed in European ancestry women. STUDY DESIGN, SIZE, DURATION We analysed a total of 38 546 women who did not have predominantly European ancestry backgrounds: 25 149 women from seven studies from the ReproGen Consortium and 13 397 women from the UK Biobank. In addition, we used an independent sample of 5148 African-ancestry women from the Southern Community Cohort Study (SCCS) for replication. PARTICIPANTS/MATERIALS, SETTING, METHODS Each AAM GWAS was performed by study and ancestry or ethnic group using linear regression models adjusted for birth year and study-specific covariates. ReproGen and UK Biobank results were meta-analysed using an inverse variance-weighted average method. A trans-ethnic meta-analysis was also carried out to assess heterogeneity due to different ancestry. MAIN RESULTS AND THE ROLE OF CHANCE We observed consistent direction and effect sizes between our meta-analysis and the largest GWAS conducted in European or Asian ancestry women. We validated four AAM loci (1p31, 6q16, 6q22 and 9q31) with common genetic variants at P < 5 × 10-7. We detected one new association (10p15) at P < 5 × 10-8 with a low-frequency genetic variant lying in AKR1C4, which was replicated in an independent sample. This gene belongs to a family of enzymes that regulate the metabolism of steroid hormones and have been implicated in the pathophysiology of uterine diseases. The genetic variant in the new locus is more frequent in African-ancestry participants, and has a very low frequency in Asian or European-ancestry individuals. LARGE SCALE DATA N/A. LIMITATIONS, REASONS FOR CAUTION Extreme AAM (<9 years or >18 years) were excluded from analysis. Women may not fully recall their AAM as most of the studies were conducted many years later. Further studies in women with diverse and predominantly non-European ancestry are needed to confirm and extend these findings, but the availability of such replication samples is limited. WIDER IMPLICATIONS OF THE FINDINGS Expanding association studies to a broader range of ancestries or ethnicities may improve the identification of new genetic variants associated with complex diseases or traits and the generalisation of variants from European-ancestry studies to a wider range of world populations. STUDY FUNDING/COMPETING INTEREST(S) Funding was provided by CHARGE Consortium grant R01HL105756-07: Gene Discovery For CVD and Aging Phenotypes and by the NIH grant U24AG051129 awarded by the National Institute on Aging (NIA). The authors have no conflict of interest to declare.
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Affiliation(s)
- C Sarnowski
- Boston University School of Public Health, Boston, MA, USA
- Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - D L Cousminer
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - N Franceschini
- Department of Epidemiology, University of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - L M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - G Jia
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L Fernández-Rhodes
- Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, University Park, PA, USA
| | - S F A Grant
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Endocrinology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - H Hakonarson
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Pulmonary Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - L A Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - J Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - T Sofer
- Departments of Medicine and of Biostatistics, Harvard University, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - R Tao
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - R B Wallace
- University of Iowa College of Public Health, Iowa City, IA, USA
| | - Q Wong
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - G Zirpoli
- Slone Epidemiology Center at Boston University, Boston, MA, USA
- Section of Hematology/Oncology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - E Boerwinkle
- Human Genetic Center and Department of Epidemiology, The University of Texas School of Public Health, Houston, TX, USA
| | - J P Bradfield
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Quantinuum Research, LLC, Wayne, PA, USA
| | - A Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Pediatrics, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - C L Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - K E North
- Department of Epidemiology, University of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, NC, USA
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA
| | - J R Palmer
- Slone Epidemiology Center at Boston University, Boston, MA, USA
- Section of Hematology/Oncology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - B S Zemel
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Gastroenterology, Hepatology and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - W Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - J M Murabito
- National Heart Lung and Blood Institute and Boston University’s Framingham Heart Study, Framingham, MA, USA
- Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - K L Lunetta
- Boston University School of Public Health, Boston, MA, USA
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Lange L, Hüsing T, Rauschner M, Riemann A, Thews O. The Role of MicroRNA Expression for Proliferation and Apoptosis of Tumor Cells: Impact of Hypoxia-Related Acidosis. Adv Exp Med Biol 2021; 1269:145-149. [PMID: 33966209 DOI: 10.1007/978-3-030-48238-1_23] [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] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The metabolic microenvironment in tumors is characterized by hypoxia and acidosis. Extracellular pH sometimes decreases to even below 6.0. Previous experiments showed that tissue pH has an impact on tumor cell proliferation and apoptosis. However, the mechanism of how cell cycle progression is affected by decreased pH is not fully understood yet. One possible mechanism includes changes in the expression of miRNAs. The aim of this study was to analyze the impact of pH-regulated miRNAs (miR-183 and miR-215) on proliferation, apoptosis, and necrosis of tumor cells. Therefore, AT1 prostate and Walker-256 mammary carcinoma cells were transfected with the miRNAs or with the respective antagomirs and incubated at pH 7.4 and 6.6 for 24 h. AT1 cells underwent a G0/G1 cell cycle arrest under acidic conditions and showed a marked reduction of the number of actively DNA-synthesizing cells. In Walker-256 cells, acidosis induced a reduction of apoptosis and additionally a significant increase in necrotic cell death. Transfection of tumor cells with miR-183 or miR-215, which were significantly downregulated under acidic conditions, had no impact on cell death of AT1 or Walker-256 cells. Overexpression of miR-183, which is also downregulated by acidosis, intensified G0/G1 cell cycle arrest in AT1 cells. Previous studies revealed that hypoxia-related tumor acidosis affects the expression of different small noncoding RNAs. However, not all of these acidosis-regulated miRNAs seem to have an impact on proliferation, apoptosis, and necrosis of tumor cells. While miR-215 had no influence, miR-183 seems to be an interesting candidate that could amplify the impact of extracellular acidosis on malignant behavior of tumor cells.
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Affiliation(s)
- L Lange
- Julius-Bernstein-Institute of Physiology, University of Halle, Halle (Saale), Germany
| | - T Hüsing
- Julius-Bernstein-Institute of Physiology, University of Halle, Halle (Saale), Germany
| | - M Rauschner
- Julius-Bernstein-Institute of Physiology, University of Halle, Halle (Saale), Germany
| | - Anne Riemann
- Julius-Bernstein-Institute of Physiology, University of Halle, Halle (Saale), Germany.
| | - O Thews
- Julius-Bernstein-Institute of Physiology, University of Halle, Halle (Saale), Germany
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Hüsing T, Lange L, Rauschner M, Riemann A, Thews O. Functional Impact of Acidosis-Regulated MicroRNAs on the Migration and Adhesion of Tumor Cells. Adv Exp Med Biol 2021; 1269:151-155. [PMID: 33966210 DOI: 10.1007/978-3-030-48238-1_24] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Tumor tissue shows special features in metabolism in contrast to healthy tissue. Besides a distinctive oxygen deficiency, tumors often show a reduced extracellular pH (acidosis) resulting from an intensified glycolysis not only under hypoxic but also under normoxic conditions (Warburg effect). As shown in previous studies, cell migration is increased in AT1 prostate carcinoma cells after incubation at pH 6.6, and this leads to an increased number of lung metastases in vivo. However, the signaling pathway causing these functional changes is still unknown. Possible mediators could be acidosis-regulated microRNAs (miR-7, miR-183, miR-203, miR-215). The aim of the study was therefore to analyze whether a change in the expression of these microRNAs has an impact on the tumor cell migration and adhesion. Studies were performed with AT1 rat prostate cancer cells which were incubated for 24 h at pH 7.4 or 6.6. Keeping AT1 tumor cells at low pH increased the migratory capacity by about 100%. But also the decrease of miR-203 and miR-215 expression (at normal pH) led to an increase in migration velocity by 50%. In contrast, cell adhesion was increased by about 75% at low pH. However, an increase in miR-215 expression at pH 6.6 reduced the adhesion by trend. These results clearly indicated that the extracellular pH has an impact on migration and adhesion of tumor cells. In this mechanism, pH-regulated microRNAs could play a role since changes in the expression of these microRNAs (especially miR-203) are also able to modulate the migratory behavior.
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Affiliation(s)
- T Hüsing
- Julius-Bernstein-Institute of Physiology, University of Halle-Wittenberg, Halle (Saale), Germany
| | - L Lange
- Julius-Bernstein-Institute of Physiology, University of Halle-Wittenberg, Halle (Saale), Germany
| | - M Rauschner
- Julius-Bernstein-Institute of Physiology, University of Halle-Wittenberg, Halle (Saale), Germany
| | - Anne Riemann
- Julius-Bernstein-Institute of Physiology, University of Halle-Wittenberg, Halle (Saale), Germany.
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7
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Zhang L, Rossi A, Lange L, Meumann N, Koitzsch U, Christie K, Nesbit MA, Moore CBT, Hacker UT, Morgan M, Hoffmann D, Zengel J, Carette JE, Schambach A, Salvetti A, Odenthal M, Büning H. Capsid Engineering Overcomes Barriers Toward Adeno-Associated Virus Vector-Mediated Transduction of Endothelial Cells. Hum Gene Ther 2020; 30:1284-1296. [PMID: 31407607 DOI: 10.1089/hum.2019.027] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Endothelial cells (EC) are targets in gene therapy and regenerative medicine, but they are inefficiently transduced with adeno-associated virus (AAV) vectors of various serotypes. To identify barriers hampering efficient transduction and to develop an optimized AAV variant for EC transduction, we screened an AAV serotype 2-based peptide display library on primary human macrovascular EC. Using a new high-throughput selection and monitoring protocol, we identified a capsid variant, AAV-VEC, which outperformed the parental serotype as well as first-generation targeting vectors in EC transduction. AAV vector uptake was improved, resulting in significantly higher transgene expression levels from single-stranded vector genomes detectable within a few hours post-transduction. Notably, AAV-VEC transduced not only proliferating EC but also quiescent EC, although higher particle-per-cell ratios had to be applied. Also, induced pluripotent stem cell-derived endothelial progenitor cells, a novel tool in regenerative medicine and gene therapy, were highly susceptible toward AAV-VEC transduction. Thus, overcoming barriers by capsid engineering significantly expands the AAV tool kit for a wide range of applications targeting EC.
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Affiliation(s)
- L Zhang
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany.,Institute of Pathology, University Hospital of Cologne, Cologne, Germany
| | - A Rossi
- Institute of Experimental Hematology, Hannover Medical School, Hannover, Germany.,International Center for Research in Infectiology (CIRI), INSERM U1111, CNRS UMR5308, Lyon, France
| | - L Lange
- Institute of Experimental Hematology, Hannover Medical School, Hannover, Germany.,REBIRTH Cluster of Excellence, Hannover Medical School, Hannover, Germany
| | - N Meumann
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany.,Institute of Experimental Hematology, Hannover Medical School, Hannover, Germany
| | - U Koitzsch
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany.,Institute of Pathology, University Hospital of Cologne, Cologne, Germany
| | - K Christie
- Biomedical Sciences Research Institute, Ulster University, Ulster, Northern Ireland
| | - M A Nesbit
- Biomedical Sciences Research Institute, Ulster University, Ulster, Northern Ireland
| | - C B T Moore
- Biomedical Sciences Research Institute, Ulster University, Ulster, Northern Ireland.,Avellino Labs USA, Menlo Park, California
| | - U T Hacker
- Institute of Experimental Hematology, Hannover Medical School, Hannover, Germany.,1st Medical Department, University Cancer Center Leipzig, University Leipzig Medical Center, Leipzig, Germany
| | - M Morgan
- Institute of Experimental Hematology, Hannover Medical School, Hannover, Germany.,REBIRTH Cluster of Excellence, Hannover Medical School, Hannover, Germany
| | - D Hoffmann
- Institute of Experimental Hematology, Hannover Medical School, Hannover, Germany.,REBIRTH Cluster of Excellence, Hannover Medical School, Hannover, Germany
| | - J Zengel
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California
| | - J E Carette
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California
| | - A Schambach
- Institute of Experimental Hematology, Hannover Medical School, Hannover, Germany.,REBIRTH Cluster of Excellence, Hannover Medical School, Hannover, Germany.,Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - A Salvetti
- International Center for Research in Infectiology (CIRI), INSERM U1111, CNRS UMR5308, Lyon, France
| | - M Odenthal
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany.,Institute of Pathology, University Hospital of Cologne, Cologne, Germany
| | - H Büning
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany.,Institute of Experimental Hematology, Hannover Medical School, Hannover, Germany.,REBIRTH Cluster of Excellence, Hannover Medical School, Hannover, Germany.,German Center for Infection Research (DZIF), Partner Sites Bonn-Cologne and Hannover-Braunschweig, Braunschweig, Germany
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8
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Striegel AK, Price M, Frandsen V, Gernert S, Arens A, Wiesenäcker D, Lange L. Der Stand der allergologischen Weiterbildung von Kinderärzten. Monatsschr Kinderheilkd 2020. [DOI: 10.1007/s00112-020-00850-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Zusammenfassung
Hintergrund
Ein deutlicher Rückgang abgelegter Prüfungen im Fach Allergologie und gleichzeitig eine Zunahme allergologischer Erkrankungen haben die Nachwuchsgruppe der Gesellschaft für Pädiatrische Allergologie und Umweltmedizin (GPAU) dazu bewogen, die Qualität und die Bedingungen der allergologischen Ausbildung in der Pädiatrie zu untersuchen. Zeitgleich wurde beim Deutschen Ärztetag ein neues Format der Zusatzweiterbildung Allergologie (Musterweiterbildungsordnung [MWBO]) verabschiedet.
Ziel der Arbeit
Ziel dieser Umfrage war es, die Rahmenbedingungen der allergologischen Ausbildung von Kinderärzten in Deutschland genauer zu untersuchen.
Material und Methoden
Es wurde eine Umfrage mithilfe eines Fragebogens sowohl bei den Weiterbildungsermächtigten (insgesamt 169) als auch bei deren Weiterbildungsassistent*innen durchgeführt.
Ergebnisse und Diskussion
Von insgesamt 56 Weiterbildungsermächtigten und 32 Weiterbildungsassistent*innen wurde der Fragebogen ausgewertet. Es zeigt sich in der Auswertung, dass der Prozentsatz an Frauen bei den Weiterbildungsermächtigten deutlich geringer ist im Vergleich zu den Weiterbildungsassistent*innen (20 vs. 66 %), jedoch sind mittlerweile mehr als zwei Drittel der Medizinstudierenden weiblich. In der Umfrage stellt sich heraus, dass die allergologische Weiterbildung bei fast 20 % der Weiterbildungsassistent*innen weniger als 10 % der Gesamtarbeitszeit ausmacht und oft außerhalb der Regelarbeitszeit stattfindet. Es sind in Zukunft sowohl flexiblere Arbeitszeitmodelle als auch kombinierte Ausbildungsmodelle zwischen Klinik und Praxis und feste Strukturen für eine fundierte Ausbildung im klinischen Alltag notwendig, um der wachsenden Anzahl allergologischer Fragestellungen v. a. bei Kindern flächendeckend gerecht werden zu können. In der neuen MWBO darf nicht nur der Nachweis von Untersuchungstechniken eine Rolle spielen, sondern sie muss auch die Betreuung von komplexen allergologischen Fällen abbilden, die gerade in der Pädiatrie vorzufinden sind, z. B. im Rahmen von Hospitationen.
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de Las Fuentes L, Sung YJ, Sitlani CM, Avery CL, Bartz TM, Keyser CD, Evans DS, Li X, Musani SK, Ruiter R, Smith AV, Sun F, Trompet S, Xu H, Arnett DK, Bis JC, Broeckel U, Busch EL, Chen YDI, Correa A, Cummings SR, Floyd JS, Ford I, Guo X, Harris TB, Ikram MA, Lange L, Launer LJ, Reiner AP, Schwander K, Smith NL, Sotoodehnia N, Stewart JD, Stott DJ, Stürmer T, Taylor KD, Uitterlinden A, Vasan RS, Wiggins KL, Cupples LA, Gudnason V, Heckbert SR, Jukema JW, Liu Y, Psaty BM, Rao DC, Rotter JI, Stricker B, Wilson JG, Whitsel EA. Genome-wide meta-analysis of variant-by-diuretic interactions as modulators of lipid traits in persons of European and African ancestry. Pharmacogenomics J 2019; 20:482-493. [PMID: 31806883 PMCID: PMC7260079 DOI: 10.1038/s41397-019-0132-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 11/13/2019] [Accepted: 11/20/2019] [Indexed: 01/11/2023]
Abstract
Hypertension (HTN) is a significant risk factor for cardiovascular morbidity and mortality. Metabolic abnormalities, including adverse cholesterol and triglycerides (TG) profiles, are frequent comorbid findings with HTN and contribute to cardiovascular disease. Diuretics, which are used to treat HTN and heart failure, have been associated with worsening of fasting lipid concentrations. Genome-wide meta-analyses with 39,710 European-ancestry (EA) individuals and 9,925 African-ancestry (AA) individuals were performed to identify genetic variants that modify the effect of loop or thiazide diuretic use on blood lipid concentrations. Both longitudinal and cross-sectional data were used to compute cohort-specific interaction results, which were then combined through meta-analysis in each ancestry. These ancestry-specific results were further combined through trans-ancestry meta-analysis. Analysis of EA data identified two genome-wide significant (p < 5×10−8) loci with single nucleotide variant (SNV)-loop diuretic interaction on TG concentrations (including COL11A1). Analysis of AA data identified one genome-wide significant locus adjacent to BMP2 with SNV-loop diuretic interaction on TG concentrations. Trans-ancestry analysis strengthened evidence of association for SNV-loop diuretic interaction at two loci (KIAA1217 and BAALC). There were few significant SNV-thiazide diuretic interaction associations on TG concentrations and for either diuretic on cholesterol concentrations. Several promising loci were identified that may implicate biologic pathways that contribute to adverse metabolic side effects from diuretic therapy.
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Affiliation(s)
- L de Las Fuentes
- Cardiovascular Division, Department of Medicine, Washington University, St. Louis, MO, USA.
| | - Y J Sung
- Division of Biostatistics, Washington University, St. Louis, MO, USA
| | - C M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - C L Avery
- Gillings School of Global Public Health, Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - T M Bartz
- Cardiovascular Health Research Unit, Departments of Medicine and Biostatistics, University of Washington, Seattle, WA, USA
| | - C de Keyser
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - D S Evans
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | - X Li
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - S K Musani
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - R Ruiter
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - A V Smith
- Icelandic Heart Association, Kopavogur, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - F Sun
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - S Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - H Xu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - D K Arnett
- Dean's Office, University of Kentucky College of Public Health, Lexington, KY, USA
| | - J C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - U Broeckel
- Section of Genomic Pediatrics, Department of Pediatrics, Medicine and Physiology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - E L Busch
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Y-D I Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - A Correa
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - S R Cummings
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | - J S Floyd
- Cardiovascular Health Research Unit, Departments of Medicine and Epidemiology, University of Washington, Seattle, WA, USA
| | - I Ford
- Robertson Center for biostatistics, University of Glasgow, Glasgow, UK
| | - X Guo
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - T B Harris
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA
| | - M A Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - L Lange
- Department of Genetics, University of Colorado, Denver, Denver, CO, USA
| | - L J Launer
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA
| | - A P Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,School of Public Health, Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - K Schwander
- Division of Biostatistics, Washington University, St. Louis, MO, USA
| | - N L Smith
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA.,Seattle Epidemiologic Research and Information Center (ERIC), VA Cooperative Studies Program, VA Puget Sound Health Care System, Seattle, WA, USA
| | - N Sotoodehnia
- Cardiovascular Health Research Unit, Departments of Medicine and Epidemiology, University of Washington, Seattle, WA, USA.,Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - J D Stewart
- Gillings School of Global Public Health, Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.,Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - D J Stott
- Institute of cardiovascular and medical sciences, Faculty of Medicine, University of Glasgow, Glasgow, United Kingdom
| | - T Stürmer
- Gillings School of Global Public Health, Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.,Center for Pharmacoepidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - K D Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - A Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - R S Vasan
- The Framingham Heart Study, Framingham, MA, USA.,Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - K L Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - L A Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.,The Framingham Heart Study, Framingham, MA, USA
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - S R Heckbert
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.,Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
| | - Y Liu
- Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest University, Winston-, Salem, NC, USA
| | - B M Psaty
- Cardiovascular Health Research Unit, Departments of Epidemiology, Medicine, and Health Services, University of Washington, Seattle, WA, USA.,Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - D C Rao
- Division of Biostatistics, Washington University, St. Louis, MO, USA
| | - J I Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - B Stricker
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - J G Wilson
- Biophysics and Physiology, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - E A Whitsel
- Gillings School of Global Public Health, Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.,School of Medicine, Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
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10
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Dischinger MI, Lange L, Vehling S. Loss of resources and demoralization in the chronically ill. Gen Hosp Psychiatry 2019; 61:10-15. [PMID: 31518884 DOI: 10.1016/j.genhosppsych.2019.08.002] [Citation(s) in RCA: 3] [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] [Received: 05/15/2019] [Revised: 07/31/2019] [Accepted: 08/01/2019] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The study examined whether the association between the severity of physical symptoms and demoralization is mediated by loss of resources in individuals with chronic conditions including conventional diagnoses, functional somatic syndromes, and medically unexplained symptoms. METHOD This cross-sectional study evaluated N = 194 patients (mean age = 46, 83.5% female) who reported at least 3 months of persistent physical symptoms using the following self-report instruments: PHQ-15 (modified), Loss of Resources Inventory, Psychosocial Questionnaire - Demoralization Subscale, and PHQ-8. The mediation hypothesis was tested by multiple regression analyses controlling for age, race, employment status, income, educational attainment, and depression. RESULTS Participants experienced M = 9.3 out of 16 possible health-related losses (SD = 4.4). Average to severe demoralization scores were indicated by 59.1% of individuals, of which only 17.1% experienced high demoralization. Loss of resources fully mediated the effect of symptom severity on demoralization, explaining 56% of the variance of demoralization and inhibiting the initially significant effect of symptom severity on demoralization to nonsignificant levels [from b = 0.67, 95% CI (0.26, 1.07) to b = 0.03, 95% CI (-0.27, 0.32)]. CONCLUSION Early recognition of the loss of resources phenomena and interventions to reduce its progression through the introduction of resource gains may diminish, or even prevent, the installation of demoralization in individuals with chronic symptoms.
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Affiliation(s)
- M I Dischinger
- Department of Psychology, University of North Florida, Jacksonville, FL, United States.
| | - L Lange
- Department of Psychology, University of North Florida, Jacksonville, FL, United States
| | - S Vehling
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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11
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Worm M, Francuzik W, Renaudin J, Bilo MB, Cardona V, Scherer Hofmeier K, Köhli A, Bauer A, Christoff G, Cichocka‐Jarosz E, Hawranek T, Hourihane JO, Lange L, Mahler V, Muraro A, Papadopoulos NG, Pföhler C, Poziomkowska‐Gęsicka I, Ruëff F, Spindler T, Treudler R, Fernandez‐Rivas M, Dölle S. Factors increasing the risk for a severe reaction in anaphylaxis: An analysis of data from The European Anaphylaxis Registry. Allergy 2018; 73:1322-1330. [PMID: 29318637 DOI: 10.1111/all.13380] [Citation(s) in RCA: 129] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/16/2017] [Indexed: 11/28/2022]
Abstract
BACKGROUND Preventive measures to decrease the frequency and intensity of anaphylactic events are essential to provide optimal care for allergic patients. Aggravating factors may trigger or increase the severity of anaphylaxis and therefore need to be recognized and avoided. OBJECTIVE To identify and prioritize factors associated with an increased risk of developing severe anaphylaxis. METHODS Data from the Anaphylaxis Registry (122 centers in 11 European countries) were used in logistic regression models considering existing severity grading systems, elicitors, and symptoms to identify the relative risk of factors on the severity of anaphylaxis. RESULTS We identified higher age and concomitant mastocytosis (OR: 3.1, CI: 2.6-3.7) as the most important predictors for an increased risk of severe anaphylaxis. Vigorous physical exercise (OR: 1.5, CI: 1.3-1.7), male sex (OR: 1.2, CI: 1.1-1.3), and psychological burden (OR: 1.4, CI: 1.2-1.6) were more often associated with severe reactions. Additionally, intake of beta-blockers (OR: 1.9, CI: 1.5-2.2) and ACE-I (OR: 1.28, CI: 1.05, 1.51) in temporal proximity to allergen exposition was identified as an important factor in logistic regression analysis. CONCLUSION Our data suggest it may be possible to identify patients who require intensified preventive measures due to their relatively higher risk for severe anaphylaxis by considering endogenous and exogenous factors.
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Affiliation(s)
- M. Worm
- Department of Dermatology and Allergology Charite‐Universitätsmedizin Berlin Berlin Germany
| | - W. Francuzik
- Department of Dermatology and Allergology Charite‐Universitätsmedizin Berlin Berlin Germany
| | - J.‐M. Renaudin
- Allergy Vigilance Network University Hospital Nancy Nancy France
| | - M. B. Bilo
- Department of Internal Medicine/Allergy Unit University Hospital Ospedali Riuniti Ancona Italy
| | - V. Cardona
- Allergy Section, Department of Internal Medicine Hospital Universitari Vall d'Hebron Barcelona Spain
| | | | - A. Köhli
- Division of Allergology University Children's Hospital Zurich Switzerland
| | - A. Bauer
- Department of Dermatology University Allergy Center University Hospital Carl Gustav Carus Technical University Dresden Dresden Germany
| | - G. Christoff
- Faculty of Public Health Medical University‐Sofia Sofia Bulgaria
- Tokuda Medical Centre Allergy Out‐patient Clinic Sofia Bulgaria
| | - E. Cichocka‐Jarosz
- Department of Pediatrics Jagiellonian University Medical College Krakow Poland
| | - T. Hawranek
- Department of Dermatology Paracelsus Private Medical University Salzburg Salzburg Austria
| | | | - L. Lange
- Department of Pediatrics St. Marien‐Hospital Bonn Germany
| | - V. Mahler
- Department of Dermatology University Hospital of Erlangen Friedrich‐Alexander‐University Erlangen Erlangen Germany
| | - A. Muraro
- Department of Mother and Child Health Padua General University Hospital Padua Italy
| | | | - C. Pföhler
- Department of Dermatology Saarland University Hospital Homburg/Saar Germany
| | | | - F. Ruëff
- Department of Dermatology and Allergology Klinikum der Universität München München Germany
| | - T. Spindler
- Department of Pediatric Pneumology and Allergology Lung Centre South‐West Wangen Germany
| | - R. Treudler
- Department of Dermatology, Venerology and Allergology LICA‐Comprehensive Allergy Center Universität Leipzig Leipzig Germany
| | | | - S. Dölle
- Department of Dermatology and Allergology Charite‐Universitätsmedizin Berlin Berlin Germany
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12
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Seyerle AA, Sitlani CM, Noordam R, Gogarten SM, Li J, Li X, Evans DS, Sun F, Laaksonen MA, Isaacs A, Kristiansson K, Highland HM, Stewart JD, Harris TB, Trompet S, Bis JC, Peloso GM, Brody JA, Broer L, Busch EL, Duan Q, Stilp AM, O'Donnell CJ, Macfarlane PW, Floyd JS, Kors JA, Lin HJ, Li-Gao R, Sofer T, Méndez-Giráldez R, Cummings SR, Heckbert SR, Hofman A, Ford I, Li Y, Launer LJ, Porthan K, Newton-Cheh C, Napier MD, Kerr KF, Reiner AP, Rice KM, Roach J, Buckley BM, Soliman EZ, de Mutsert R, Sotoodehnia N, Uitterlinden AG, North KE, Lee CR, Gudnason V, Stürmer T, Rosendaal FR, Taylor KD, Wiggins KL, Wilson JG, Chen YD, Kaplan RC, Wilhelmsen K, Cupples LA, Salomaa V, van Duijn C, Jukema JW, Liu Y, Mook-Kanamori DO, Lange LA, Vasan RS, Smith AV, Stricker BH, Laurie CC, Rotter JI, Whitsel EA, Psaty BM, Avery CL. Pharmacogenomics study of thiazide diuretics and QT interval in multi-ethnic populations: the cohorts for heart and aging research in genomic epidemiology. Pharmacogenomics J 2018; 18:215-226. [PMID: 28719597 PMCID: PMC5773415 DOI: 10.1038/tpj.2017.10] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Revised: 01/14/2017] [Accepted: 03/09/2017] [Indexed: 12/23/2022]
Abstract
Thiazide diuretics, commonly used antihypertensives, may cause QT interval (QT) prolongation, a risk factor for highly fatal and difficult to predict ventricular arrhythmias. We examined whether common single-nucleotide polymorphisms (SNPs) modified the association between thiazide use and QT or its component parts (QRS interval, JT interval) by performing ancestry-specific, trans-ethnic and cross-phenotype genome-wide analyses of European (66%), African American (15%) and Hispanic (19%) populations (N=78 199), leveraging longitudinal data, incorporating corrected standard errors to account for underestimation of interaction estimate variances and evaluating evidence for pathway enrichment. Although no loci achieved genome-wide significance (P<5 × 10-8), we found suggestive evidence (P<5 × 10-6) for SNPs modifying the thiazide-QT association at 22 loci, including ion transport loci (for example, NELL1, KCNQ3). The biologic plausibility of our suggestive results and simulations demonstrating modest power to detect interaction effects at genome-wide significant levels indicate that larger studies and innovative statistical methods are warranted in future efforts evaluating thiazide-SNP interactions.
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Affiliation(s)
- A A Seyerle
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - C M Sitlani
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - R Noordam
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - S M Gogarten
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - J Li
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
| | - X Li
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - D S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - F Sun
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - M A Laaksonen
- Department of Health, THL-National Institute for Health and Welfare, Helsinki, Finland
| | - A Isaacs
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
- CARIM School of Cardiovascular Diseases, Maastricht Centre for Systems Biology (MaCSBio), and Department of Biochemistry, Maastricht University, Maastricht, The Netherlands
| | - K Kristiansson
- Department of Health, THL-National Institute for Health and Welfare, Helsinki, Finland
| | - H M Highland
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - J D Stewart
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - T B Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA
| | - S Trompet
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - J C Bis
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - G M Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - J A Brody
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - L Broer
- Department of Internal Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - E L Busch
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Q Duan
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - A M Stilp
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - C J O'Donnell
- Department of Medicine, Harvard University, Boston, MA, USA
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
- Cardiology Section, Boston Veterans Administration Healthcare, Boston, MA, USA
| | - P W Macfarlane
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - J S Floyd
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - J A Kors
- Department of Medical Informatics, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - H J Lin
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
- Division of Medical Genetics, Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - R Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - T Sofer
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - R Méndez-Giráldez
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - S R Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - S R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - A Hofman
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - I Ford
- Robertson Center for Biostatistics, University of Glasgow, Glasgow, UK
| | - Y Li
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA
| | - L J Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA
| | - K Porthan
- Division of Cardiology, Heart and Lung Center, Helsinki University Central Hospital, Helsinki, Finland
| | - C Newton-Cheh
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - M D Napier
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - K F Kerr
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - A P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - K M Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - J Roach
- Research Computing Center, University of North Carolina, Chapel Hill, NC, USA
| | - B M Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - E Z Soliman
- Epidemiology Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - R de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - N Sotoodehnia
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Division of Cardiology, University of Washington, Seattle, WA, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - A G Uitterlinden
- Department of Internal Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - K E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - C R Lee
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - T Stürmer
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Center for Pharmacoepidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - F R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - K D Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - K L Wiggins
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - J G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Y-Di Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - R C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - K Wilhelmsen
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- The Renaissance Computing Institute, Chapel Hill, NC, USA
| | - L A Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
| | - V Salomaa
- Department of Health, THL-National Institute for Health and Welfare, Helsinki, Finland
| | - C van Duijn
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
- Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
| | - Y Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, NC, USA
| | - D O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
- Department of BESC, Epidemiology Section, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - L A Lange
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - R S Vasan
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
- Division of Preventive Medicine and Epidemiology, Department of Epidemiology, Boston University School of Medicine, Boston, MA, USA
| | - A V Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - B H Stricker
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
- Inspectorate of Health Care, Utrecht, The Netherlands
| | - C C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - J I Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - E A Whitsel
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - B M Psaty
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - C L Avery
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
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13
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Olson NC, Raffield LM, Lange LA, Lange EM, Longstreth WT, Chauhan G, Debette S, Seshadri S, Reiner AP, Tracy RP. Associations of activated coagulation factor VII and factor VIIa-antithrombin levels with genome-wide polymorphisms and cardiovascular disease risk. J Thromb Haemost 2018; 16:19-30. [PMID: 29112333 PMCID: PMC5760305 DOI: 10.1111/jth.13899] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Indexed: 11/26/2022]
Abstract
ESSENTIALS Essentials A fraction of coagulation factor VII circulates in blood as an activated protease (FVIIa). We evaluated FVIIa and FVIIa-antithrombin (FVIIa-AT) levels in the Cardiovascular Health Study. Polymorphisms in the F7 and PROCR loci were associated with FVIIa and FVIIa-AT levels. FVIIa may be an ischemic stroke risk factor in older adults and FVIIa-AT may assess mortality risk. SUMMARY Background A fraction of coagulation factor (F) VII circulates as an active protease (FVIIa). FVIIa also circulates as an inactivated complex with antithrombin (FVIIa-AT). Objective Evaluate associations of FVIIa and FVIIa-AT with genome-wide single nucleotide polymorphisms (SNPs) and incident coronary heart disease, ischemic stroke and mortality. Patients/Methods We measured FVIIa and FVIIa-AT in 3486 Cardiovascular Health Study (CHS) participants. We performed a genome-wide association scan for FVIIa and FVIIa-AT in European-Americans (n = 2410) and examined associations of FVII phenotypes with incident cardiovascular disease. Results In European-Americans, the most significant SNP for FVIIa and FVIIa-AT was rs1755685 in the F7 promoter region on chromosome 13 (FVIIa, β = -25.9 mU mL-1 per minor allele; FVIIa-AT, β = -26.6 pm per minor allele). Phenotypes were also associated with rs867186 located in PROCR on chromosome 20 (FVIIa, β = 7.8 mU mL-1 per minor allele; FVIIa-AT, β = 9.9 per minor allele). Adjusted for risk factors, a one standard deviation higher FVIIa was associated with increased risk of ischemic stroke (hazard ratio [HR], 1.12; 95% confidence interval [CI], 1.01, 1.23). Higher FVIIa-AT was associated with mortality from all causes (HR, 1.08; 95% CI, 1.03, 1.12). Among European-American CHS participants the rs1755685 minor allele was associated with lower ischemic stroke (HR, 0.69; 95% CI, 0.54, 0.88), but this association was not replicated in a larger multi-cohort analysis. Conclusions The results support the importance of the F7 and PROCR loci in variation in circulating FVIIa and FVIIa-AT. The findings suggest FVIIa is a risk factor for ischemic stroke in older adults, whereas higher FVIIa-AT may reflect mortality risk.
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Affiliation(s)
- N C Olson
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, USA
- Cardiovascular Research Institute of Vermont, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, USA
| | - L M Raffield
- Department of Genetics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - L A Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - E M Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - W T Longstreth
- Department of Neurology, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - G Chauhan
- INSERM U1219 Neuroepidemiology, Bordeaux, France
- University of Bordeaux, Bordeaux, France
- Centre for Brain Research, Indian Institute of Science, Bangalore, India
| | - S Debette
- INSERM U1219 Neuroepidemiology, Bordeaux, France
- University of Bordeaux, Bordeaux, France
- Department of Neurology, Bordeaux University Hospital, Bordeaux, France
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
| | - S Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
| | - A P Reiner
- Department of Neurology, Bordeaux University Hospital, Bordeaux, France
| | - R P Tracy
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, USA
- Cardiovascular Research Institute of Vermont, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, USA
- Department of Biochemistry, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, USA
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14
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Raghavan S, Zhang W, Yang IV, Lange LA, Lange EM, Fingerlin TE, Dabelea D. Association between gestational diabetes mellitus exposure and childhood adiposity is not substantially explained by offspring genetic risk of obesity. Diabet Med 2017; 34:1696-1700. [PMID: 29048747 PMCID: PMC6880873 DOI: 10.1111/dme.13529] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [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] [Accepted: 10/16/2017] [Indexed: 11/28/2022]
Abstract
AIM To examine the extent to which offspring obesity-associated genetic risk explains the association between gestational diabetes mellitus and childhood adiposity. METHODS We studied 282 children aged 7-12 years who were enrolled in the Exploring Perinatal Outcomes in Children Study. A genetic risk score for BMI was calculated as the count of 91 established BMI-raising risk alleles. Multivariable linear and logistic regression models were used to estimate associations between the offspring genetic risk score and exposure to gestational diabetes and childhood adiposity (BMI and waist circumference), adjusting for clinical and demographic covariates. The contribution of offspring genetic risk to associations between maternal gestational diabetes and childhood outcomes was estimated by comparing the regression coefficients for the gestational diabetes variable in models with and without the genetic risk score. RESULTS The offspring BMI genetic risk score was associated with childhood BMI (P = 0.006) and waist circumference (P = 0.02), and marginally with gestational diabetes (P = 0.05). Offspring BMI genetic risk did not contribute significantly to associations between gestational diabetes and childhood BMI [7.7% (95% CI -3.3, 18.8)] or waist circumference [5.8% (95% CI -3.1, 14.8); P = 0.2 for both]. CONCLUSIONS Offspring obesity genetic risk does not explain a significant proportion of the association between gestational diabetes exposure and childhood adiposity. The association between gestational diabetes and childhood adiposity is probably explained through alternative pathways, including direct intrauterine effects or a shared postnatal environment.
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Affiliation(s)
- S Raghavan
- Veterans Affairs Eastern Colorado Healthcare System, Denver, CO, USA
- Division of General Internal Medicine, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA, USA
| | - W Zhang
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - I V Yang
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA, USA
- National Jewish Health, Center for Genes, Environment, and Health, Denver, CO, USA, USA
| | - L A Lange
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA, USA
| | - E M Lange
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA, USA
| | - T E Fingerlin
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA, USA
- National Jewish Health, Center for Genes, Environment, and Health, Denver, CO, USA, USA
| | - D Dabelea
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Jensen G, Jones L, Kutzke M, Lange L, Larsen C, Klamm M, Jelen N. OUTCOMES OF A MOBILE, NURSE-LED INTERPROFESSIONAL COLLABORATIVE TEAM IN UNDERSERVED RURAL AMERICA. Innov Aging 2017. [DOI: 10.1093/geroni/igx004.1201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
| | - L. Jones
- Sanford Health, Sioux Falls, South Dakota
| | - M. Kutzke
- Sanford Health, Sioux Falls, South Dakota
| | - L. Lange
- Sanford Health, Sioux Falls, South Dakota
| | - C. Larsen
- Sanford Health, Sioux Falls, South Dakota
| | - M. Klamm
- Sanford Health, Sioux Falls, South Dakota
| | - N. Jelen
- Sanford Health, Sioux Falls, South Dakota
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16
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Lange L, Lasota L, Finger A, Vlajnic D, Büsing S, Meister J, Broekaert I, Pfannenstiel C, Friedrichs F, Price M, Trendelenburg V, Niggemann B, Beyer K. Ana o 3-specific IgE is a good predictor for clinically relevant cashew allergy in children. Allergy 2017; 72:598-603. [PMID: 27644013 DOI: 10.1111/all.13050] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/15/2016] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Component-resolved diagnostics using specific IgE to 2 S albumins has shown to be a valuable new option in diagnostic procedure. Ana o 3 is a 2 S albumin from cashew. The aim of this study was to investigate the role of Ana o 3-specific serum IgE in the diagnosis of cashew allergy and to identify cut-off levels to replace oral food challenges. Moreover, the value of additional determination of total IgE has been investigated. METHODS In a multicentre study, we analysed specific IgE to cashew extract and Ana o 3 as well as total IgE in children with suspected cashew allergy using the ImmunoCAP-FEIA and a standardized diagnostic procedure including oral challenges where indicated. RESULTS A total of 61 patients were included in the study. Forty-two were allergic to cashew, and 19 were tolerant. In receiver operating curves, Ana o 3 discriminates between allergic and tolerant children better than cashew-specific IgE with an area under the curve of 0.94 vs 0.78. The ratio of Ana o 3-specific IgE to total IgE did not further improve the diagnostic procedure. Probability curves for Ana o 3-specific IgE have been calculated, and a 95% probability could be estimated at 2.0 kU/l. CONCLUSION Specific IgE to Ana o 3 is a valuable tool for the diagnosis of cashew allergy. Considering its positive predictive value, it might allow to make a considerable number of oral challenges superfluous.
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Affiliation(s)
- L. Lange
- Department of Pediatrics; St. Marien-Hospital; Bonn Germany
| | - L. Lasota
- Institute of Medical Biometry; Informatics und Epidemiology (IMBIE); Bonn Germany
| | - A. Finger
- Department of Pediatrics; St. Marien-Hospital; Bonn Germany
| | - D. Vlajnic
- Department of Pediatrics; St. Marien-Hospital; Bonn Germany
| | - S. Büsing
- Children's Hospital; Osnabrück Germany
| | - J. Meister
- Department for Pediatrics; Helios Klinikum; Aue Germany
| | - I. Broekaert
- Children's Hospital; University of Cologne; Cologne Germany
| | | | | | - M. Price
- Children's Hospital; Hannover Medical School; Hannover Germany
| | - V. Trendelenburg
- Department of Pediatric Pneumology and Immunology; Charité-Universitätsmedizin; Berlin Germany
| | - B. Niggemann
- Department of Pediatric Pneumology and Immunology; Charité-Universitätsmedizin; Berlin Germany
| | - K. Beyer
- Department of Pediatric Pneumology and Immunology; Charité-Universitätsmedizin; Berlin Germany
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17
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18
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Graff M, North KE, Richardson AS, Young KL, Mazul AL, Highland HM, Mohlke KL, Lange LA, Lange EM, Mullan Harris K, Gordon-Larsen P. BMI loci and longitudinal BMI from adolescence to young adulthood in an ethnically diverse cohort. Int J Obes (Lond) 2016; 41:759-768. [PMID: 28025578 PMCID: PMC5413409 DOI: 10.1038/ijo.2016.233] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Revised: 11/09/2016] [Accepted: 11/24/2016] [Indexed: 01/15/2023]
Abstract
Objective The association of obesity susceptibility variants with change in
body mass index (BMI) across the life course is not well understood. Subjects In ancestry stratified models of 5,962 European American (EA), 2,080
African American (AA), and 1,582 Hispanic American (HA) individuals from the
National Longitudinal Study of Adolescent to Adult Health (Add Health), we
examined associations between 34 obesity SNPs with per year change in BMI,
measured by the slope from a growth-curve analysis of two or more BMI
measurements between adolescence and young adulthood. For SNPs nominally
associated with BMI change (p<0.05), we interrogated age differences
within data collection Wave and time differences between age categories that
overlapped between Waves. Results We found SNPs in/near FTO, MC4R, MTCH2, TFAP2B, SEC16B, and
TMEM18 were significantly associated (p<0.0015
≈ 0.05/34) with BMI change in EA and the ancestry-combined
meta-analysis. Rs9939609 in FTO met genome-wide
significance at p<5e-08 in the EA and ancestry combined analysis,
respectively [Beta(se)=0.025(0.004);Beta(se)=0.021(0.003)]. No SNPs were
significant after Bonferroni correction in AA or HA, although 5 SNPs in AA
and 4 SNPs in HA were nominally significant (p<0.05). In EA and the
ancestry-combined meta-analysis, rs3817334 near MTCH2
showed larger effects in younger respondents, while rs987237 near
TFAP2B, showed larger effects in older respondents
across all Waves. Differences in effect estimates across time for
MTCH2 and TFAP2B are suggestive of
either era or cohort effects. Conclusion The observed association between variants in/near FTO, MC4R,
MTCH2, TFAP2B, SEC16B, and TMEM18 with change in BMI from
adolescence to young adulthood suggest that the genetic effect of BMI loci
varies over time in a complex manner, highlighting the importance of
investigating loci influencing obesity risk across the life course.
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Affiliation(s)
- M Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - K E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.,Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA
| | | | - K L Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.,Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - A L Mazul
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - H M Highland
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - K L Mohlke
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA.,Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - L A Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA.,Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - E M Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA.,Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - K Mullan Harris
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.,Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA.,Department of Sociology, University of North Carolina, Chapel Hill, NC, USA
| | - P Gordon-Larsen
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA.,Department of Nutrition, Gillings School of Global Public Health, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
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19
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Federherr E, Kupka HJ, Cerli C, Kalbitz K, Dunsbach R, Loos A, de Reus M, Lange L, Panetta RJ, Schmidt TC. A novel tool for stable nitrogen isotope analysis in aqueous samples. Rapid Commun Mass Spectrom 2016; 30:2537-2544. [PMID: 27619634 DOI: 10.1002/rcm.7740] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Revised: 09/08/2016] [Accepted: 09/09/2016] [Indexed: 06/06/2023]
Abstract
RATIONALE Bulk stable isotope analysis (BSIA) of dissolved matter (e.g. dissolved organic carbon, total nitrogen bound (TNb ), etc.) is of particular importance since this pool is a prime conduit in the cycling of N and C. Studying the two elemental pools is of importance, as transformation and transport processes of N and C are inextricably linked in all biologically mediated systems. No system able to analyze natural abundance stable carbon and nitrogen isotope composition in aqueous samples (without offline sample preparation) and simultaneously has been reported so far. Extension of the high-temperature combustion (HTC) system, to be capable of measuring TNb stable nitrogen isotope composition, is described in this study. METHODS To extend the TOC analyzer to be capable of measuring TNb , modifications from the HTC high-performance liquid chromatography/isotope ratio mass spectrometry (HPLC/IRMS) interface were implemented and expanded. A reduction reactor for conversion of NOx into N2 was implemented into the new developed system. The extension addresses mainly the development of the focusing unit for nitrogen and a degassing device for online separation of TNb from molecular nitrogen (N2 ) prior to injection. RESULTS The proof of principle of the system was demonstrated with different compound solutions. In this initial testing, the δ15 NAIR-N2 values of the tested compounds were determined with precision and trueness of typically ≤0.5‰. Good results (u ≤ 0.5‰) could be achieved down to a TNb concentration of 40 mgN/L and acceptable results (u ≤ 1.0‰) down to 5 mgN/L. In addition, the development resulted in the first system reported to be suitable for simultaneous and direct δ13 C and δ15 N BSIA of aqueous samples. CONCLUSIONS The development resulted in the first system shown to be suitable for both δ13 C and δ15 N direct BSIA in aqueous samples. This system could open up new possibilities in SIA-based research fields. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- E Federherr
- Research and Innovation, Elementar Analysensysteme GmbH, Donaustr. 7, 63452, Hanau, Germany
- Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstr. 5, 45141, Essen, Germany
| | - H J Kupka
- Research and Innovation, Elementar Analysensysteme GmbH, Donaustr. 7, 63452, Hanau, Germany
| | - C Cerli
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Science Park 904, 1098, XH, Amsterdam, The Netherlands
| | - K Kalbitz
- Institute of Soil Science and Site Ecology, Technical University of Dresden, Pienner Str. 21, 01737, Tharandt, Germany
| | - R Dunsbach
- Research and Innovation, Taunus Instruments GmbH, Berlinerstr. 2, 61267, Neu-Anspach, Germany
| | - A Loos
- Research and Innovation, Elementar Analysensysteme GmbH, Donaustr. 7, 63452, Hanau, Germany
| | - M de Reus
- Research and Innovation, Elementar Analysensysteme GmbH, Donaustr. 7, 63452, Hanau, Germany
| | - L Lange
- Research and Innovation, Elementar Analysensysteme GmbH, Donaustr. 7, 63452, Hanau, Germany
| | - R J Panetta
- Research and Innovation, Isoprime Ltd, Cheadle Hulme, SK8 6PT, UK
| | - T C Schmidt
- Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstr. 5, 45141, Essen, Germany
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Graff M, Richardson AS, Young KL, Mazul AL, Highland H, North KE, Mohlke KL, Lange LA, Lange EM, Harris KM, Gordon-Larsen P. The interaction between physical activity and obesity gene variants in association with BMI: Does the obesogenic environment matter? Health Place 2016; 42:159-165. [PMID: 27771443 PMCID: PMC5116401 DOI: 10.1016/j.healthplace.2016.09.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [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: 11/10/2015] [Revised: 09/23/2016] [Accepted: 09/26/2016] [Indexed: 11/16/2022]
Abstract
Little is known about how obesity susceptibility single nucleotide polymorphisms (SNPs) interact with moderate to vigorous physical activity (MVPA) in relation to BMI during adolescence, once obesogenic neighborhood factors are accounted for. In race stratified models, including European (EA; N=4977), African (AA; N=1726), and Hispanic Americans (HA; N=1270) from the National Longitudinal Study of Adolescent to Adult Health (1996; ages 12-21), we assessed the evidence for a SNPxMVPA interaction with BMI-for-age Z score, once accounting for obesogenic neighborhood factors including physical activity amenities, transportation and recreation infrastructure, poverty and crime. Eight SNPxMVPA interactions with suggestive significance (p<0.10; three in each EA, and AA, two in HA) were observed showing attenuation on BMI-for-age Z score in adolescents with ≥5 versus <5 bouts/week MVPA, except for rs10146997 (near NRXN3). Findings were robust to the inclusion of neighborhood-level variables as covariates. These findings suggest that any attenuation from MVPA on a genetic susceptibility to obesity during adolescence is likely not operating through obesogenic neighborhood factors.
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Affiliation(s)
- M Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27514 USA.
| | | | - K L Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27514 USA; Carolina Population Center, University of North Carolina, Chapel Hill, NC 27514 USA
| | - A L Mazul
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27514 USA
| | - Heather Highland
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27514 USA
| | - K E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27514 USA; Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC 27514 USA
| | - K L Mohlke
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC 27514 USA; Department of Genetics, University of North Carolina, Chapel Hill, NC 27514 USA
| | - L A Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC 27514 USA; Department of Genetics, University of North Carolina, Chapel Hill, NC 27514 USA
| | - E M Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC 27514 USA; Department of Genetics, University of North Carolina, Chapel Hill, NC 27514 USA
| | - K M Harris
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27514 USA; Department of Sociology, Univlersity of North Carolina, Chapel Hill, NC 27514 USA
| | - P Gordon-Larsen
- Carolina Population Center, University of North Carolina, Chapel Hill, NC 27514 USA; Department of Nutrition Gillings School of Global Public Health & School of Medicine, University of North Carolina, Chapel Hill, NC 27514 USA
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Federherr E, Willach S, Roos N, Lange L, Molt K, Schmidt TC. A novel high-temperature combustion interface for compound-specific stable isotope analysis of carbon and nitrogen via high-performance liquid chromatography/isotope ratio mass spectrometry. Rapid Commun Mass Spectrom 2016; 30:944-952. [PMID: 26969937 DOI: 10.1002/rcm.7524] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Revised: 01/17/2016] [Accepted: 01/31/2016] [Indexed: 06/05/2023]
Abstract
RATIONALE In aqueous samples compound-specific stable isotope analysis (CSIA) plays an important role. No direct method (without sample preparation) for stable nitrogen isotope analysis (δ(15) N SIA) of non-volatile compounds is known yet. The development of a novel HPLC/IRMS interface based on high-temperature combustion (HTC) for both δ(13) C and δ(15) N CSIA and its proof of principle are described in this study. METHODS To hyphenate high-performance liquid chromatography (HPLC) with isotope ratio mass spectrometry (IRMS) a modified high-temperature combustion total organic carbon analyzer (HTC TOC) was used. A system to handle a continuously large amount of water (three-step drying system), favorable carrier and reaction gas mix and flow, an efficient high-temperature-based oxidation and subsequent reduction system and a collimated beam transfer system were the main requirements to achieve the necessary performance. RESULTS The proof of principle with caffeine solutions of the system succeeded. In this initial testing, both δ(13) C and δ(15) N values of tested compounds were determined with precision and trueness of ≤0.5 ‰. Further tests resulted in lower working limit values of 3.5 μgC for δ(13) C SIA and 20 μgN for δ(15) N SIA, considering an accuracy of ±0.5 ‰ as acceptable. CONCLUSIONS The development of a novel HPLC/IRMS interface resulted in the first system reported to be suitable for both δ(13) C and δ(15) N direct CSIA of non-volatile compounds. This highly efficient system will probably open up new possibilities in SIA-based research fields. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- E Federherr
- Research and Innovation, Elementar Analysensysteme GmbH, Donaustr. 7, 63452, Hanau, Germany
- Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstr. 5, 45141, Essen, Germany
| | - S Willach
- Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstr. 5, 45141, Essen, Germany
| | - N Roos
- Application Development Support, Agilent Technologies Sales & Services GmbH und Co.KG, Lyoner Straße 20, 60528, Frankfurt am Main, Germany
| | - L Lange
- Research and Innovation, Elementar Analysensysteme GmbH, Donaustr. 7, 63452, Hanau, Germany
| | - K Molt
- Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstr. 5, 45141, Essen, Germany
| | - T C Schmidt
- Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstr. 5, 45141, Essen, Germany
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22
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Young KL, Graff M, North KE, Richardson AS, Bradfield JP, Grant SFA, Lange LA, Lange EM, Harris KM, Gordon-Larsen P. Influence of SNP*SNP interaction on BMI in European American adolescents: findings from the National Longitudinal Study of Adolescent Health. Pediatr Obes 2016; 11:95-101. [PMID: 25893265 PMCID: PMC4615264 DOI: 10.1111/ijpo.12026] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [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: 03/31/2014] [Revised: 02/05/2015] [Accepted: 02/23/2015] [Indexed: 12/20/2022]
Abstract
BACKGROUND Adolescent obesity is predictive of future weight gain, obesity and adult onset severe obesity (body mass index [BMI] ≥40 kg m(-2) ). Despite successful efforts to identify Single Nucleotide Polymorphisms (SNPs) influencing BMI, <5% of the 40-80% heritability of the phenotype has been explained. Identification of gene-gene (G-G) interactions between known variants can help explain this hidden heritability as well as identify potential biological mechanisms affecting weight gain during this critical developmental period. OBJECTIVE We have recently shown distinct genetic effects on BMI across the life course, and thus it is important to examine the evidence for epistasis in adolescence. METHODS In adolescent participants of European descent from wave II of the National Longitudinal Study of Adolescent Health (Add Health, n = 5072, ages 12-21, 52.5% female), we tested 34 established BMI-related SNPs for G-G interaction effects on BMI z-score. We used mixed-effects regression, assuming multiplicative interaction models adjusting for age, sex and geographic region, with random effects for family and school. RESULTS For 28 G-G interactions that were nominally significant (P < 0.05), we attempted to replicate our results in an adolescent sample from the Childhood European American Cohort from Philadelphia. In the replication study, one interaction (PRKD1-FTO) was significant after correction for multiple testing. CONCLUSIONS Our results are suggestive of epistatic effects on BMI during adolescence and point to potentially interactive effects between genes in biological pathways important in obesity.
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Affiliation(s)
- KL Young
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA,Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - M Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA,Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - KE North
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA,Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, USA
| | - AS Richardson
- Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA,Deptartment of Nutrition, University of North Carolina, Chapel Hill, North Carolina, USA
| | - JP Bradfield
- Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - SFA Grant
- Department of Pediatrics, Children’s Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania, USA
| | - LA Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - EM Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - KM Harris
- Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Sociology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - P Gordon-Larsen
- Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA,Deptartment of Nutrition, University of North Carolina, Chapel Hill, North Carolina, USA
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Lange L, Pagnamenta AT, Lise S, Clasper S, Stewart H, Akha ES, Quaghebeur G, Knight SJL, Keays DA, Taylor JC, Kini U. A de novo frameshift in HNRNPK causing a Kabuki-like syndrome with nodular heterotopia. Clin Genet 2016; 90:258-62. [PMID: 26954065 PMCID: PMC5006848 DOI: 10.1111/cge.12773] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [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] [Received: 01/29/2016] [Revised: 02/26/2016] [Accepted: 03/03/2016] [Indexed: 01/23/2023]
Abstract
Kabuki syndrome is a heterogeneous condition characterized by distinctive facial features, intellectual disability, growth retardation, skeletal abnormalities and a range of organ malformations. Although at least two major causative genes have been identified, these do not explain all cases. Here we describe a patient with a complex Kabuki-like syndrome that included nodular heterotopia, in whom testing for several single-gene disorders had proved negative. Exome sequencing uncovered a de novo c.931_932insTT variant in HNRNPK (heterogeneous nuclear ribonucleoprotein K). Although this variant was identified in March 2012, its clinical relevance could only be confirmed following the August 2015 publication of two cases with HNRNPK mutations and an overlapping phenotype that included intellectual disability, distinctive facial dysmorphism and skeletal/connective tissue abnormalities. Whilst we had attempted (unsuccessfully) to identify additional cases through existing collaborators, the two published cases were 'matched' using GeneMatcher, a web-based tool for connecting researchers and clinicians working on identical genes. Our report therefore exemplifies the importance of such online tools in clinical genetics research and the benefits of periodically reviewing cases with variants of unproven significance. Our study also suggests that loss of function variants in HNRNPK should be considered as a molecular basis for patients with Kabuki-like syndrome.
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Affiliation(s)
- L Lange
- National Institute for Health Research Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - A T Pagnamenta
- National Institute for Health Research Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - S Lise
- National Institute for Health Research Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - S Clasper
- Oxford Regional Genetics Service, Oxford Radcliffe Hospitals NHS Trust, The Churchill Hospital, Oxford, UK
| | - H Stewart
- Department of Clinical Genetics, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - E S Akha
- National Institute for Health Research Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - G Quaghebeur
- Department of Neuroradiology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - S J L Knight
- National Institute for Health Research Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - D A Keays
- Institute of Molecular Pathology, Vienna, Austria
| | - J C Taylor
- National Institute for Health Research Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - U Kini
- Department of Clinical Genetics, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
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24
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Grüber C, Ankermann T, Bauer CP, Bruns R, Eigenmann P, Fischer P, Friedrichs F, Gerstlauer M, Huttegger I, Lange L, Lob-Corzilius T, Vogelberg C, Schmidt S. Impfung von Kindern mit erhöhtem Allergierisiko. Monatsschr Kinderheilkd 2016. [DOI: 10.1007/s00112-015-3428-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Olson NC, Butenas S, Lange LA, Lange EM, Cushman M, Jenny NS, Walston J, Souto JC, Soria JM, Chauhan G, Debette S, Longstreth WT, Seshadri S, Reiner AP, Tracy RP. Coagulation factor XII genetic variation, ex vivo thrombin generation, and stroke risk in the elderly: results from the Cardiovascular Health Study. J Thromb Haemost 2015; 13:1867-77. [PMID: 26286125 PMCID: PMC4946166 DOI: 10.1111/jth.13111] [Citation(s) in RCA: 12] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Revised: 06/12/2015] [Accepted: 08/02/2015] [Indexed: 12/31/2022]
Abstract
BACKGROUND The relationships of thrombin generation (TG) with cardiovascular disease risk are underevaluated in population-based cohorts. OBJECTIVES To evaluate the relationships of TG influenced by the contact and tissue factor coagulation pathways ex vivo with common single-nucleotide polymorphisms (SNPs) and incident cardiovascular disease and stroke. PATIENTS/METHODS We measured peak TG (pTG) in baseline plasma samples of Cardiovascular Health Study participants (n = 5411), both with and without inhibitory anti-factor XIa antibody (pTG/FXIa(-) ). We evaluated their associations with ~ 50 000 SNPs by using the IBCv2 genotyping array, and with incident cardiovascular disease and stroke events over a median follow-up of 13.2 years. RESULTS The minor allele for an SNP in the FXII gene (F12), rs1801020, was associated with lower pTG in European-Americans (β = - 34.2 ± 3.5 nm; P = 3.3 × 10(-22) ; minor allele frequency [MAF] = 0.23) and African-Americans (β = - 31.1 ± 7.9 nm; P = 9.0 × 10(-5) ; MAF = 0.42). Lower FXIa-independent pTG (pTG/FXIa(-) ) was associated with the F12 rs1801020 minor allele, and higher pTG/FXIa(-) was associated with the ABO SNP rs657152 minor allele (β = 16.3 nm; P = 4.3 × 10(-9) ; MAF = 0.37). The risk factor-adjusted ischemic stroke hazard ratios were 1.09 (95% confidence interval CI 1.01-1.17; P = 0.03) for pTG, 1.06 (95% CI 0.98-1.15; P = 0.17) for pTG/FXIa(-) , and 1.11 (95% CI 1.02-1.21; P = 0.02) for FXIa-dependent pTG (pTG/FXIa(+) ), per one standard deviation increment (n = 834 ischemic strokes). In a multicohort candidate gene analysis, rs1801020 was not associated with incident ischemic stroke (β = - 0.02; standard error = 0.08; P = 0.81). CONCLUSIONS These results support the importance of contact activation pathway-dependent TG as a risk factor for ischemic stroke, and indicate the importance of F12 SNPs for TG ex vivo and in vivo.
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Affiliation(s)
- N C Olson
- Department of Pathology and Laboratory Medicine, University of Vermont College of Medicine, Burlington, VT, USA
| | - S Butenas
- Department of Biochemistry, University of Vermont College of Medicine, Burlington, VT, USA
| | - L A Lange
- Department of Genetics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - E M Lange
- Department of Genetics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
- Department of Biostatistics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - M Cushman
- Department of Pathology and Laboratory Medicine, University of Vermont College of Medicine, Burlington, VT, USA
- Department of Medicine, University of Vermont College of Medicine, Burlington, VT, USA
| | - N S Jenny
- Department of Pathology and Laboratory Medicine, University of Vermont College of Medicine, Burlington, VT, USA
| | - J Walston
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - J C Souto
- Department of Hematology, Institute of Biomedical Research (IIB-Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - J M Soria
- Unit of Genomics of Complex Diseases, Institute of Biomedical Research (IIB-Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - G Chauhan
- INSERM U897, University of Bordeaux, Bordeaux, France
- University of Bordeaux, Bordeaux, France
| | - S Debette
- INSERM U897, University of Bordeaux, Bordeaux, France
- University of Bordeaux, Bordeaux, France
- Bordeaux University Hospital, Bordeaux, France
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - W T Longstreth
- Department of Neurology, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - S Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - A P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - R P Tracy
- Department of Pathology and Laboratory Medicine, University of Vermont College of Medicine, Burlington, VT, USA
- Department of Biochemistry, University of Vermont College of Medicine, Burlington, VT, USA
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Brockow K, Schallmayer S, Beyer K, Biedermann T, Fischer J, Gebert N, Grosber M, Jakob T, Klimek L, Kugler C, Lange L, Pfaar O, Przybilla B, Rietschel E, Rueff F, Schnadt S, Szczepanski R, Worm M, Kupfer J, Gieler U, Ring J. Effects of a structured educational intervention on knowledge and emergency management in patients at risk for anaphylaxis. Allergy 2015; 70:227-35. [PMID: 25407693 DOI: 10.1111/all.12548] [Citation(s) in RCA: 69] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/13/2014] [Indexed: 11/29/2022]
Abstract
BACKGROUND Structured educational programmes for patients at risk for anaphylaxis have not yet been established. Patients and caregivers often lack adequate skills in managing the disease. METHODS To investigate effects of structured patient education intervention on knowledge, emergency management skills and psychological parameters in patients with previous episodes of anaphylaxis and caregivers of affected children 95 caregivers (11 male, 84 female, mean age 37 years) of affected children and 98 patients (32 male, 66 female, mean age 47.5 years) were randomly assigned to an intervention (IG) or control group (CG) in a multicentre randomized controlled trial. The IG received two 3-h schooling modules of group education; the CG received standard auto-injector training only. Knowledge of anaphylaxis and emergency management competence in a validated training anaphylaxis situation as main outcome measures as well as secondary psychological parameters were assessed at baseline and 3 months after intervention. RESULTS In comparison with controls, the intervention led to significant improvement of knowledge from baseline to 3-month follow-up (caregivers: IG 3.2/13.2 improvement/baseline vs CG 0.7/12.6; P < 0.001; patients: IG 3.9/10.8 vs 1.3/12.6; P < 0.001). Moreover, emergency management competence was increased after intervention as compared to controls (caregivers: IG 8.6/11.2 vs CG 1.2/10.8; P < 0.001; patients: 7.1/11.0 vs 1.1/11.1; P < 0.001). Intervention showed significant reduction of caregiver anxiety (-1.9/8.4 vs -0.7/7.5; P < 0.05). There were no significant changes in the depression scores. CONCLUSION Structured patient education programmes may be beneficial in the management of anaphylaxis by increasing patients' empowerment to prevent and treat the disease.
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Affiliation(s)
- K. Brockow
- Department of Dermatology und Allergology Biederstein; Technische Universität München; Munich Germany
| | - S. Schallmayer
- Department of Psychosomatics and Psychotherapy; University Hospital Giessen and Marburg; Giessen Germany
| | - K. Beyer
- Department of Paediatric Pneumology and Immunology; Allergy-Center-Charité; Charité Universitätsmedizin Berlin; Berlin Germany
| | - T. Biedermann
- Department of Dermatology; University of Tübingen; Tübingen Germany
| | - J. Fischer
- Department of Dermatology; University of Tübingen; Tübingen Germany
| | - N. Gebert
- Department of Paediatric Pneumology and Immunology; Allergy-Center-Charité; Charité Universitätsmedizin Berlin; Berlin Germany
| | - M. Grosber
- Department of Dermatology und Allergology Biederstein; Technische Universität München; Munich Germany
| | - T. Jakob
- Allergy Research Group; Department of Dermatology; University Medical Center Freiburg; Freiburg Germany
| | - L. Klimek
- Department of Otolaryngology; Center for Rhinology and Allergology Wiesbaden; Mannheim University Hospital; Mannheim Germany
| | - C. Kugler
- Department of Dermatology und Allergology Biederstein; Technische Universität München; Munich Germany
| | - L. Lange
- Division for Pediatrics; St.-Marien-Hospital; Bonn Germany
| | - O. Pfaar
- Department of Otolaryngology; Center for Rhinology and Allergology Wiesbaden; Mannheim University Hospital; Mannheim Germany
| | - B. Przybilla
- Department of Dermatology und Allergology; Ludwig-Maximilians University; Munich Germany
| | - E. Rietschel
- Children's Hospital; University of Cologne; Cologne Germany
| | - F. Rueff
- Department of Dermatology und Allergology; Ludwig-Maximilians University; Munich Germany
| | - S. Schnadt
- German Allergy and Asthma Assiciation; Mönchengladbach Germany
| | | | - M. Worm
- Department of Dermatology and Allergy; Allergy-Center-Charité; Charité Universitätsmedizin Berlin; Berlin Germany
| | - J. Kupfer
- Institute of Medical Psychology; Justus-Liebig-Universität Giessen; Giessen Germany
| | - U. Gieler
- Department of Psychosomatics and Psychotherapy; University Hospital Giessen and Marburg; Giessen Germany
| | - J. Ring
- Department of Dermatology und Allergology Biederstein; Technische Universität München; Munich Germany
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Beyer K, Grabenhenrich L, Härtl M, Beder A, Kalb B, Ziegert M, Finger A, Harandi N, Schlags R, Gappa M, Puzzo L, Röblitz H, Millner-Uhlemann M, Büsing S, Ott H, Lange L, Niggemann B. Predictive values of component-specific IgE for the outcome of peanut and hazelnut food challenges in children. Allergy 2015; 70:90-8. [PMID: 25308885 DOI: 10.1111/all.12530] [Citation(s) in RCA: 132] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/06/2014] [Indexed: 11/30/2022]
Abstract
BACKGROUND Oral challenges are the gold standard in food allergy diagnostic, but time-consuming. Aim of the study was to investigate the role of peanut- and hazelnut-component-specific IgE in the diagnostics of peanut and hazelnut allergy and to identify cutoff levels to make some challenges superfluous. METHODS In a prospective and multicenter study, children with suspected peanut or hazelnut allergy underwent oral challenges. Specific IgE to peanut, hazelnut, and their components (Ara h 1, Ara h 2, Ara h 3, and Ara h 8, Cor a 1, Cor a 8, Cor a 9, and Cor a 14) were determined by ImmunoCAP-FEIA. RESULTS A total of 210 children were challenged orally with peanut and 143 with hazelnut. 43% of the patients had a positive peanut and 31% a positive hazelnut challenge. With an area under the curve of 0.92 and 0.89, respectively, Ara h 2 and Cor a 14-specific IgE discriminated between allergic and tolerant children better than peanut- or hazelnut-specific IgE. For the first time, probability curves for peanut and hazelnut components have been calculated. A 90% probability for a positive peanut or hazelnut challenge was estimated for Ara h 2-specific IgE at 14.4 kU/l and for Cor a 14-specific IgE at 47.8 kU/l. A 95% probability could only be estimated for Ara h 2 at 42.2 kU/l. CONCLUSIONS Ara h 2- and Cor a 14-specific IgE are useful to estimate the probability for a positive challenge outcome in the diagnostic work-up of peanut or hazelnut allergy making some food challenges superfluous.
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Affiliation(s)
- K. Beyer
- Department of Pediatric Pneumology and Immunology; Charité Universitätsmedizin Berlin; Berlin Germany
- Icahn School of Medicine at Mount Sinai; New York NY USA
| | - L. Grabenhenrich
- Institute for Social Medicine, Epidemiology, and Health Economics; Charité Universitätsmedizin Berlin; Berlin Germany
| | - M. Härtl
- Department of Pediatric Pneumology and Immunology; Charité Universitätsmedizin Berlin; Berlin Germany
| | - A. Beder
- Department of Pediatric Pneumology and Immunology; Charité Universitätsmedizin Berlin; Berlin Germany
| | - B. Kalb
- Department of Pediatric Pneumology and Immunology; Charité Universitätsmedizin Berlin; Berlin Germany
| | - M. Ziegert
- Department of Pediatric Allergology; German Red Cross Hospital; Berlin Germany
| | - A. Finger
- Department for Pediatrics, St. Marien-Hospital; Bonn Germany
| | - N. Harandi
- Department of Pediatrics, Waldburg-Zeil Clinic; Wangen Germany
| | - R. Schlags
- Department of Pediatrics, Waldburg-Zeil Clinic; Wangen Germany
| | - M. Gappa
- Department of Pediatrics, Marien-Hospital; Wesel Germany
| | - L. Puzzo
- Department of Pediatrics, Marien-Hospital; Wesel Germany
| | - H. Röblitz
- Department of Pediatrics, Sana Klinikum Lichtenberg; Berlin Germany
| | | | - S. Büsing
- Childrens Hospital; Osnabrück Germany
| | - H. Ott
- Catholic Childrens Hospital Wilhemsstift; Hamburg Germany
| | - L. Lange
- Department for Pediatrics, St. Marien-Hospital; Bonn Germany
| | - B. Niggemann
- Department of Pediatric Pneumology and Immunology; Charité Universitätsmedizin Berlin; Berlin Germany
- Department of Pediatric Allergology; German Red Cross Hospital; Berlin Germany
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Federherr E, Cerli C, Kirkels FMSA, Kalbitz K, Kupka HJ, Dunsbach R, Lange L, Schmidt TC. A novel high-temperature combustion based system for stable isotope analysis of dissolved organic carbon in aqueous samples. I: development and validation. Rapid Commun Mass Spectrom 2014; 28:2559-2573. [PMID: 25366403 DOI: 10.1002/rcm.7052] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2014] [Revised: 09/11/2014] [Accepted: 09/12/2014] [Indexed: 06/04/2023]
Abstract
RATIONALE Traditionally, dissolved organic carbon (DOC) stable isotope analysis (SIA) is performed using either offline sample preparation followed by elemental analyzer/isotope ratio mass spectrometry (EA/IRMS) or a wet chemical oxidation (WCO)-based device coupled to an isotope ratio mass spectrometer. The first method is time-consuming and laborious. The second involves the risks of underestimation of DOC concentration and isotopic fractionation due to incomplete oxidation. The development of an analytical method for accurate and sensitive DOC SIA is described in this study. METHODS A high-temperature combustion (HTC) system improves upon traditional methods. A novel total organic carbon (TOC) system, specially designed for SIA, was coupled to an isotope ratio mass spectrometer. An integrated purge and trap technique (peak focusing), flexible injection volume (0.05-3 mL), favorable carrier gas flow, modified ash crucible, new design of combustion tube and optimized drying system were used to achieve the necessary performance. RESULTS The system can reliably measure concentrations up to 1000 mgC/L. Compounds resistant to oxidation, such as barbituric acid, melamine and humic acid, were analyzed with recovery rates of 100 ± 1% proving complete oxidation. In this initial testing, the δ(13) C values of these compounds were determined with precision and trueness of ≤ 0.2‰ even with 3.5% salinity. Further tests with samples with low DOC concentrations resulted in LOQSIA method values of 0.5 mgC/L and 0.2 mgC/L for LOQSIA instr , considering an accuracy of ± 0.5‰ as acceptable. CONCLUSIONS The novel HTC system coupled to an isotope ratio mass spectrometer resulted in significantly improved sensitivity. The system is suitable for salt-containing liquids and compounds that are resistant to oxidation, and it offers a large concentration range. A second paper (which follows this one in this issue) will present a more comprehensive assessment of the analytical performance with a broad set of solutions and real samples. This highly efficient TOC stable isotopic analyzer will probably open up new possibilities in biogeochemical carbon cycle research.
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Affiliation(s)
- E Federherr
- Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstr. 5, 45141, Essen, Germany; Research and Innovation, Elementar Analysensysteme GmbH, Donaustr. 7, 63452, Hanau, Germany
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Kebabçioglu R, Müller A, Peacock CJ, Lange L. Molecular Constants of GeCl4 and SnCl4 from Coriolis Coupling Constants and an Appraisal of the Accuracy of the Method in Determining Force Fields, Mean Amplitudes and Shrinkage. ACTA ACUST UNITED AC 2014. [DOI: 10.1515/zna-1968-0513] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The Coriolis Coupling constants of GeCl4 and SnCl4 are obtained from the contours of the ν4 bands and used to determine the force fields. From consideration of these and that previously reported for SiCl4 it is shown that even relatively inaccurate Coriolis constants can yield better force fields and Bastiansen-Morino shrinkage effects than experimental mean amplitudes of vibration; but that for SnCl4 , because of significant differences between usually valid approximate force fields and the Coriolis constant fixed one, a wrong value of the constant may have been obtained.
It is also shown that the force field obtained from Vol’kenshtein’s theory of absolute Raman intensities is not very good for GeCl4 and wildly inaccurate for SnCl4 .
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Affiliation(s)
- R. Kebabçioglu
- Anorganisch-Chemisches Institut der Universität Göttingen
| | - A. Müller
- Anorganisch-Chemisches Institut der Universität Göttingen
| | - C. J. Peacock
- Anorganisch-Chemisches Institut der Universität Göttingen
| | - L. Lange
- Anorganisch-Chemisches Institut der Universität Göttingen
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Lange L, Grell MN. The prominent role of fungi and fungal enzymes in the ant–fungus biomass conversion symbiosis. Appl Microbiol Biotechnol 2014; 98:4839-51. [DOI: 10.1007/s00253-014-5708-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2014] [Revised: 03/15/2014] [Accepted: 03/17/2014] [Indexed: 10/25/2022]
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31
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Richardson AS, North KE, Graff M, Young KM, Mohlke KL, Lange LA, Lange EM, Harris KM, Gordon-Larsen P. Moderate to vigorous physical activity interactions with genetic variants and body mass index in a large US ethnically diverse cohort. Pediatr Obes 2014; 9:e35-46. [PMID: 23529959 PMCID: PMC3707946 DOI: 10.1111/j.2047-6310.2013.00152.x] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [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: 08/17/2012] [Revised: 02/06/2013] [Accepted: 01/31/2013] [Indexed: 12/23/2022]
Abstract
BACKGROUND Little is known about the interaction between genetic and behavioural factors during lifecycle risk periods for obesity and how associations vary across race/ethnicity. OBJECTIVE The objective of this study was to examine joint associations of adiposity-related single-nucleotide polymorphisms (SNPs) and moderate to vigorous physical activity (MVPA) with body mass index (BMI) in a diverse adolescent cohort. METHODS Using data from the National Longitudinal Study of Adolescent Health (n = 8113: Wave II 1996; ages 12-21, Wave III; ages 18-27), we assessed interactions of 41 well-established SNPs and MVPA with BMI-for-age Z-scores in European Americans (EA; n = 5077), African-Americans (AA; n = 1736) and Hispanic Americans (HA; n = 1300). RESULTS Of 97 assessed, we found nominally significant SNP-MVPA interactions on BMI-for-age Z-score in EA at GNPDA2 and FTO and in HA at LZTR2/SEC16B. In EA, the estimated effect of the FTO risk allele on BMI-for-age Z-score was lower (β = -0.13; 95% confidence interval [CI]: 0.08, 0.18) in individuals with ≥5 vs. <5 (β = 0.24; CI: 0.16, 0.32) bouts of MVPA per week (P for interaction 0.02). Race/ethnicity-pooled meta-analysis showed nominally significant interactions for SNPs at TFAP2B, POC5 and LYPLAL1. CONCLUSIONS High MVPA may attenuate underlying genetic risk for obesity during adolescence, a high-risk period for adult obesity.
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Affiliation(s)
- AS Richardson
- Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Nutrition Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - KE North
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - M Graff
- Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - KM Young
- Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - KL Mohlke
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - LA Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - EM Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - KM Harris
- Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Sociology, North Carolina, USA
| | - P Gordon-Larsen
- Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA,Department of Nutrition Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
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Abstract
Anaphylaxis is a severe, potentially life-threatening, systemic allergic reaction, which generally happens unexpectedly in healthy individuals. Among children, the most common elicitors are food, insect stings, and drugs. Currently, the incidence of anaphylaxis is increasing. Risk factors are asthma, infections as well as previous, sudden respiratory and cardiovascular symptoms after exposure to a specific antigen. If cutaneous, respiratory, gastrointestinal, cardiovascular and neurologic symptoms involving ≥2 organ systems occur, adrenaline/epinephrine, preferably intramuscularly, should be administered. Although allergen skin testing and serological estimation of specific IgE antibodies do not predict who will develop anaphylaxis, they help to identify sensitized individuals at risk. Patients with a history of anaphylaxis need training on how to use the emergency medication and how to recognize and prevent the anaphylactic symptoms.
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Affiliation(s)
- E Rietschel
- Klinik für Kinder- und Jugendmedizin, Universitätsklinik Köln, Kerpener Str. 62, 50924, Köln.
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Graff M, North KE, Richardson AS, Young KM, Mohlke KL, Lange LA, Lange EM, Harris KM, Gordon-Larsen P. Screen time behaviours may interact with obesity genes, independent of physical activity, to influence adolescent BMI in an ethnically diverse cohort. Pediatr Obes 2013; 8:e74-9. [PMID: 24039247 PMCID: PMC3838440 DOI: 10.1111/j.2047-6310.2013.00195.x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [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: 11/22/2012] [Revised: 06/12/2013] [Accepted: 07/06/2013] [Indexed: 01/27/2023]
Abstract
BACKGROUND There has been little investigation of gene-by-environment interactions related to sedentary behaviour, a risk factor for obesity defined as leisure screen time (ST; i.e. television, video and computer games). OBJECTIVE To test the hypothesis that limiting ST use attenuates the genetic predisposition to increased body mass index (BMI), independent of physical activity. DESIGN Using 7642 wave II participants of the National Longitudinal Study of Adolescent Health, (Add Health; mean = 16.4 years, 52.6% female), we assessed the interaction of ST (h week(-1) ) and 41 established obesity single nucleotide polymorphisms (SNPs) with age- and sex-specific BMI Z-scores in 4788 European-American (EA), 1612 African-American (AA) and 1242 Hispanic American (HA) adolescents. RESULTS Nominally significant SNP*ST interaction were found for FLJ35779 in EA, GNPDA2 in AA and none in HA (EA: beta [SE] = 0.016[0.007]), AA: beta [SE] = 0.016[0.011]) per 7 h week(-1) ST and one risk allele in relation to BMI Z-score. CONCLUSIONS While for two established BMI loci, we find evidence that high levels of ST exacerbate the influence of obesity susceptibility variants on body mass; overall, we do not find strong evidence for interactions between the majority of established obesity loci. However, future studies with larger sample sizes, or that may build on our current study and the growing published literature, are clearly warranted.
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Affiliation(s)
- M Graff
- Department of Epidemiology, University of North Carolina, Chapel
Hill, North Carolina, USA,Carolina Population Center, University of North Carolina, Chapel
Hill, North Carolina, USA
| | - KE North
- Department of Epidemiology, University of North Carolina, Chapel
Hill, North Carolina, USA,Carolina Center for Genome Sciences, University of North Carolina,
Chapel Hill, North Carolina, USA
| | - AS Richardson
- Carolina Population Center, University of North Carolina, Chapel
Hill, North Carolina, USA
| | - K M Young
- Department of Epidemiology, University of North Carolina, Chapel
Hill, North Carolina, USA,Carolina Population Center, University of North Carolina, Chapel
Hill, North Carolina, USA
| | - KL Mohlke
- Carolina Center for Genome Sciences, University of North Carolina,
Chapel Hill, North Carolina, USA,Department of Genetics, University of North Carolina, Chapel Hill,
North Carolina, USA
| | - LA Lange
- Carolina Center for Genome Sciences, University of North Carolina,
Chapel Hill, North Carolina, USA,Department of Genetics, University of North Carolina, Chapel Hill,
North Carolina, USA
| | - EM Lange
- Carolina Center for Genome Sciences, University of North Carolina,
Chapel Hill, North Carolina, USA,Department of Genetics, University of North Carolina, Chapel Hill,
North Carolina, USA
| | - KM Harris
- Carolina Population Center, University of North Carolina, Chapel
Hill, North Carolina, USA,Carolina Center for Genome Sciences, University of North Carolina,
Chapel Hill, North Carolina, USA,Department of Sociology, University of North Carolina, Chapel Hill,
North Carolina, USA
| | - P Gordon-Larsen
- Carolina Population Center, University of North Carolina, Chapel
Hill, North Carolina, USA,Department of Nutrition, University of North Carolina, Chapel Hill,
North Carolina, USA
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Matteini AM, Li J, Lange EM, Tanaka T, Lange LA, Tracy RP, Wang Y, Biggs ML, Arking DE, Fallin MD, Chakravarti A, Psaty BM, Bandinelli S, Ferrucci L, Reiner AP, Walston JD. Novel gene variants predict serum levels of the cytokines IL-18 and IL-1ra in older adults. Cytokine 2013; 65:10-6. [PMID: 24182552 DOI: 10.1016/j.cyto.2013.10.002] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2013] [Revised: 08/23/2013] [Accepted: 10/04/2013] [Indexed: 10/26/2022]
Abstract
Activation of inflammatory pathways measured by serum inflammatory markers such as interleukin-18 (IL-18) and interleukin-1 receptor antagonist (IL-1ra) is strongly associated with the progression of chronic disease states in older adults. Given that these serum cytokine levels are in part a heritable trait, genetic variation may predict increased serum levels. Using the Cardiovascular Health Study and InCHIANTI cohorts, a genome-wide association study was performed to identify genetic variants that influence IL-18 and IL-1ra serum levels among older adults. Multiple linear regression models characterized the association between each SNP and log-transformed cytokine values. Tests for multiple independent signals within statistically significant loci were performed using haplotype analysis and regression models conditional on lead SNP in each region. Multiple SNPs were associated with these cytokines with genome-wide significance, including SNPs in the IL-18-BCO gene region of chromosome 2 for IL-18 (top SNP rs2250417, P=1.9×10(-32)) and in the IL-1 gene family region of chromosome 2 for IL-1ra (rs6743376, P=2.3×10(-26)). Haplotype tests and conditional linear regression models showed evidence of multiple independent signals in these regions. Serum IL-18 levels were also associated with a region on chromosome 2 containing the NLRC4 gene (rs12989936, P=2.7×10(-19)). These data characterize multiple robust genetic signals that influence IL-18 and IL-1ra cytokine production. In particular, the signal for serum IL-18 located on chromosome two is novel and potentially important in inflammasome triggered chronic activation of inflammation in older adults. Replication in independent cohorts is an important next step, as well as molecular studies to better understand the role of NLRC4.
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Affiliation(s)
- A M Matteini
- Division of Geriatric Medicine, Johns Hopkins Medical Institution, Baltimore, MD, USA.
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Hepping N, Griese M, Lohse P, Garbe W, Lange L. Successful treatment of neonatal respiratory failure caused by a novel surfactant protein C p.Cys121Gly mutation with hydroxychloroquine. J Perinatol 2013; 33:492-4. [PMID: 23719253 DOI: 10.1038/jp.2012.131] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
SFTPC (surfactant protein C) mutations resulting in SP-C deficiency causing ongoing respiratory failure in the neonatal period represent a rare entity. We report a full-term female infant who developed respiratory distress and respiratory failure shortly after birth. From the first day of life the infant was mechanically ventilated. Application of exogenous surfactant or cortisone did not lead to any clinical improvement. Genetic analysis identified a novel SFTPC mutation as the cause of her lung disease. The patient was diagnosed as heterozygous for a p.Cys121Gly/C121G substitution encoded by exon 4, which could not be detected in both parents. Experimental therapy with hydroxychloroquine resulted in a significant clinical improvement within 2 weeks time. Mechanical ventilation was no longer needed, and the patient was discharged without additional oxygen demand. The patient remained well under therapy till the age of 6 months. After that time, the therapy was successfully discontinued.
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Affiliation(s)
- N Hepping
- Department of Neonatology, St Marien Hospital, Bonn, Germany.
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Oelsner EC, Pottinger TD, Burkart KM, Allison M, Buxbaum SG, Hansel NN, Kumar R, Larkin EK, Lange LA, Loehr LR, London SJ, O'Connor GT, Papanicolaou G, Petrini MF, Rabinowitz D, Raghavan S, Redline S, Thyagarajan B, Tracy RP, Wilk JB, White WB, Rich SS, Barr RG. Adhesion molecules, endothelin-1 and lung function in seven population-based cohorts. Biomarkers 2013; 18:196-203. [PMID: 23557128 DOI: 10.3109/1354750x.2012.762805] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
CONTEXT Endothelial function is abnormal in chronic obstructive pulmonary disease (COPD); whether endothelial dysfunction causes COPD is unknown. OBJECTIVE Test associations of endothelial biomarkers with FEV1 using instrumental variables. METHODS Among 26 907 participants with spirometry, ICAM-1, P-selectin, E-selectin and endothelin-1 were measured in subsets. RESULTS ICAM-1 and P-selectin were inversely associated with FEV1 among European-Americans (-29 mL and -34 mL per standard deviation of log-transformed biomarker, p < 0.001), as was endothelin-1 among African-Americans (-22 mL, p = 0.008). Genetically-estimated ICAM-1 and P-selectin were not significantly associated with FEV1. The instrumental variable for endothelin-1 was non-informative. CONCLUSION Although ICAM-1, P-selectin and endothelin-1 were inversely associated with FEV1, associations for ICAM-1 and P-selectin do not appear causal.
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Affiliation(s)
- E C Oelsner
- Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
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38
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Graff M, North KE, Mohlke KL, Lange LA, Luo J, Harris KM, Young KL, Richardson AS, Lange EM, Gordon-Larsen P. Estimation of genetic effects on BMI during adolescence in an ethnically diverse cohort: The National Longitudinal Study of Adolescent Health. Nutr Diabetes 2012; 2:e47. [PMID: 23168566 PMCID: PMC3461356 DOI: 10.1038/nutd.2012.20] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2012] [Accepted: 08/18/2012] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE The contribution of genetic variants to body mass index (BMI) during adolescence across multiethnic samples is largely unknown. We selected genetic loci associated with BMI or obesity in European-descent samples and examined them in a multiethnic adolescent sample. DESIGN AND SAMPLE In 5103 European American (EA), 1748 African American (AfA), 1304 Hispanic American (HA) and 439 Asian American (AsA) participants of the National Longitudinal Study of Adolescent Health (Add Health; ages 12-21 years, 47.5% male), we assessed the association between 41 established obesity-related single-nucleotide polymorphisms (SNPs) with BMI using additive genetic models, stratified by race/ethnicity, and in a pooled meta-analysis sample. We also compared the magnitude of effect for BMI-SNP associations in EA and AfA adolescents to comparable effect estimates from 11 861 EA and AfA adults in the Atherosclerosis Risk in Communities study (ages 45-64 years, 43.2% male). RESULTS Thirty-five of 41 BMI-SNP associations were directionally consistent with published studies in European populations, 18 achieved nominal significance (P<0.05; effect sizes from 0.19 to 0.71 kg m(-2) increase in BMI per effect allele), while 4 (FTO, TMEM18, TFAP2B, MC4R) remained significant after Bonferroni correction (P<0.0015). Of 41 BMI-SNP associations in AfA, HA and AsA adolescents, nine, three and five, respectively, were directionally consistent and nominally significant. In the pooled meta-analysis, 36 of 41 effect estimates were directionally consistent and 21 of 36 were nominally significant. In EA adolescents, BMI effect estimates were larger (P<0.05) for variants near TMEM18, PTER and MC4R and smaller for variants near MTIF3 and NRXN3 compared with EA adults. CONCLUSION Our findings suggest that obesity susceptibility loci may have a comparatively stronger role during adolescence than during adulthood, with variation across race/ethnic subpopulation.
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Affiliation(s)
- M Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - K E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA
| | - K L Mohlke
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - L A Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - J Luo
- Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - K M Harris
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA
- Department of Sociology, University of North Carolina, Chapel Hill, NC, USA
| | - K L Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - A S Richardson
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
- Department of Nutrition, University of North Carolina, Chapel Hill, NC, USA
| | - E M Lange
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - P Gordon-Larsen
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
- Department of Nutrition, University of North Carolina, Chapel Hill, NC, USA
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Zakai NA, Lange L, Longstreth WT, O'Meara ES, Kelley JL, Fornage M, Nikerson D, Cushman M, Reiner AP. Association of coagulation-related and inflammation-related genes and factor VIIc levels with stroke: the Cardiovascular Health Study. J Thromb Haemost 2011; 9:267-74. [PMID: 21114618 PMCID: PMC3030667 DOI: 10.1111/j.1538-7836.2010.04149.x] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [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] [Indexed: 11/30/2022]
Abstract
BACKGROUND Thrombosis and inflammation are critical in stroke etiology, but associations of coagulation and inflammation gene variants with stroke, and particularly factor VII levels, are inconclusive. OBJECTIVES To test the associations between 736 single-nucleotide polymorphisms (SNPs) between tagging haplotype patterns of 130 coagulation and inflammation genes, and stroke events, in the 5888 participants aged ≥ 65 years of the observational Cardiovascular Health Study cohort. PATIENTS/METHODS With 16 years of follow-up, age-adjusted and sex-adjusted Cox models were used to estimate associations of SNPs and FVIIc levels with future stroke. RESULTS Eight hundred and fifteen strokes occurred in 5255 genotyped participants without baseline stroke (748 ischemic strokes; 586 among whites). Among whites, six SNPs were associated with stroke, with a nominal P-value of < 0.01: rs6046 and rs3093261 (F7); rs4918851 and rs3781387 (HABP2); and rs3138055 (NFKB1A) and rs4648004 (NFKB1). Two of these SNPs were associated with FVIIc levels (units of percentage activity): rs6046 (β = -18.5, P = 2.38 × 10(-83)) and rs3093261 (β = 2.99, P = 3.93 × 10(-6)). After adjustment for age, sex, race, and cardiovascular risk factors, the association of FVIIc quintiles (Q) with stroke were as follows (hazard ratio; 95% confidence interval): Q1, reference; Q2, 1.4, 1.1-1.9); Q3, 1.1, 0.8-1.5); Q4, 1.5, 1.1-2.0); and Q5, 1.6, 1.2-2.2). Associations between SNPs and stroke were independent of FVIIc levels. CONCLUSIONS Variations in FVII-related genes and FVIIc levels were associated with risk of incident ischemic stroke in this elderly cohort, suggesting a potential causal role for FVII in stroke etiology.
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Affiliation(s)
- N A Zakai
- Department of Medicine, University of Vermont, Burlington, VT, USA.
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Graff M, North KE, Monda KL, Lange EM, Lange LA, Guo G, Gordon-Larsen P. The combined influence of genetic factors and sedentary activity on body mass changes from adolescence to young adulthood: the National Longitudinal Adolescent Health Study. Diabetes Metab Res Rev 2011; 27:63-9. [PMID: 21218509 PMCID: PMC3040976 DOI: 10.1002/dmrr.1147] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [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: 06/08/2010] [Revised: 09/20/2010] [Accepted: 10/10/2010] [Indexed: 11/07/2022]
Abstract
BACKGROUND an increase in sedentary activities is likely a major contributor to the rise in obesity over the last three decades. Little research has examined interactions between genetic variants and sedentary activity on obesity phenotypes. High levels of sedentary activity during adolescence may interact with genetic factors to influence body mass changes between adolescence and young adulthood, a high risk period for weight gain. METHODS in the National Longitudinal Study of Adolescent Health, siblings and twin pairs (16.5 ± 1.7 years) were followed into young adulthood (22.4 ± 1.8 years). Self-reported screen time (TV, video, and computer use in h/week) and body mass index (kg/m(2) ), calculated from measured height and weight at adolescence and at young adulthood, were available for 3795 participants. We employed a variance component approach to estimate the interaction between genotype and screen time for body mass changes. Additive genotype-by-screen time interactions were assessed using likelihood-ratio tests. Models were adjusted for race, age, sex, and age-by-sex interaction. RESULTS the genetic variation in body mass changes was significantly larger in individuals with low ( δ(G) = 27.59 ± 1.58) compared with high (δ(G) = 18.76 ± 2.59) levels of screen time (p < 0.003) during adolescence. CONCLUSIONS Our findings demonstrate that sedentary activities during adolescence may interact with genetic factors to influence body mass changes between adolescence and young adulthood. Accounting for obesity-related behaviours may improve current understanding of the genetic variation in body mass changes.
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Affiliation(s)
- M Graff
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27516-3997 USA
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Burgess S, Thompson SG, Burgess S, Thompson SG, Andrews G, Samani NJ, Hall A, Whincup P, Morris R, Lawlor DA, Davey Smith G, Timpson N, Ebrahim S, Ben-Shlomo Y, Davey Smith G, Timpson N, Brown M, Ricketts S, Sandhu M, Reiner A, Psaty B, Lange L, Cushman M, Hung J, Thompson P, Beilby J, Warrington N, Palmer LJ, Nordestgaard BG, Tybjaerg-Hansen A, Zacho J, Wu C, Lowe G, Tzoulaki I, Kumari M, Sandhu M, Yamamoto JF, Chiodini B, Franzosi M, Hankey GJ, Jamrozik K, Palmer L, Rimm E, Pai J, Psaty B, Heckbert S, Bis J, Anand S, Engert J, Collins R, Clarke R, Melander O, Berglund G, Ladenvall P, Johansson L, Jansson JH, Hallmans G, Hingorani A, Humphries S, Rimm E, Manson J, Pai J, Watkins H, Clarke R, Hopewell J, Saleheen D, Frossard R, Danesh J, Sattar N, Robertson M, Shepherd J, Schaefer E, Hofman A, Witteman JCM, Kardys I, Ben-Shlomo Y, Davey Smith G, Timpson N, de Faire U, Bennet A, Sattar N, Ford I, Packard C, Kumari M, Manson J, Lawlor DA, Davey Smith G, Anand S, Collins R, Casas JP, Danesh J, Davey Smith G, Franzosi M, Hingorani A, Lawlor DA, Manson J, Nordestgaard BG, Samani NJ, Sandhu M, Smeeth L, Wensley F, Anand S, Bowden J, Burgess S, Casas JP, Di Angelantonio E, Engert J, Gao P, Shah T, Smeeth L, Thompson SG, Verzilli C, Walker M, Whittaker J, Hingorani A, Danesh J. Bayesian methods for meta-analysis of causal relationships estimated using genetic instrumental variables. Stat Med 2010; 29:1298-311. [PMID: 20209660 DOI: 10.1002/sim.3843] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Genetic markers can be used as instrumental variables, in an analogous way to randomization in a clinical trial, to estimate the causal relationship between a phenotype and an outcome variable. Our purpose is to extend the existing methods for such Mendelian randomization studies to the context of multiple genetic markers measured in multiple studies, based on the analysis of individual participant data. First, for a single genetic marker in one study, we show that the usual ratio of coefficients approach can be reformulated as a regression with heterogeneous error in the explanatory variable. This can be implemented using a Bayesian approach, which is next extended to include multiple genetic markers. We then propose a hierarchical model for undertaking a meta-analysis of multiple studies, in which it is not necessary that the same genetic markers are measured in each study. This provides an overall estimate of the causal relationship between the phenotype and the outcome, and an assessment of its heterogeneity across studies. As an example, we estimate the causal relationship of blood concentrations of C-reactive protein on fibrinogen levels using data from 11 studies. These methods provide a flexible framework for efficient estimation of causal relationships derived from multiple studies. Issues discussed include weak instrument bias, analysis of binary outcome data such as disease risk, missing genetic data, and the use of haplotypes.
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Hünseler C, Lange L, Kribs A, Vierzig A, Roth B. [Primary ciliary dyskinesia causing neonatal respiratory distress]. Klin Padiatr 2009; 221:440-3. [PMID: 20013568 DOI: 10.1055/s-0028-1112112] [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] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND Primary ciliary dyskinesia (PCD) is a hereditary disorder of structure and function of the cilia of respiratory epithelium of the upper and lower airways. Prevalence is estimated with 1:15 000 to 1:30 000 births. We present a newborn infant with respiratory distress caused by PCD. PATIENT On the first day of life, the male newborn developed dyspnoe and cyanosis, so that CPAP and short term ventilation was necessary. Varying atelectasis impressed on the chest radiographs and the diagnosis of PCD was made by nasal brush biopsies. Causative is a lack of the inner dynein arms of the cilia. The clinical features of newborns with the diagnoses of PCD are listed and compared with the own case. CONCLUSION PCD is a rare cause of neonatal respiratory distress and should be considered in term infants with unknown and prolonged course even if Situs inversus is lacking.
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Affiliation(s)
- C Hünseler
- Bereich Neonatologie, Kinderklinik der Universität zu Köln.
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Smith NL, Wiggins KL, Reiner AP, Lange LA, Cushman M, Heckbert SR, Lumley T, Rice KM, Folsom AR, Psaty BM. Replication of findings on the association of genetic variation in 24 hemostasis genes and risk of incident venous thrombosis. J Thromb Haemost 2009; 7:1743-6. [PMID: 19682239 PMCID: PMC2896383 DOI: 10.1111/j.1538-7836.2009.03567.x] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Reiner AP, Lange LA, Smith NL, Zakai NA, Cushman M, Folsom AR. Common hemostasis and inflammation gene variants and venous thrombosis in older adults from the Cardiovascular Health Study. J Thromb Haemost 2009; 7:1499-505. [PMID: 19552680 PMCID: PMC2853009 DOI: 10.1111/j.1538-7836.2009.03522.x] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.5] [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] [Indexed: 11/28/2022]
Abstract
BACKGROUND/OBJECTIVES Age-related changes in blood coagulation and fibrinolysis are associated with increased risk of thrombotic events. Inherited deficiencies of coagulation proteins, such as factor V (FV) Leiden and prothrombin G20210A, explain a small fraction of venous thromboembolic disease (VTE). Additional genetic factors are likely to underlie the etiology of VTE, some of which may become manifest at older ages. METHODS We tested 290 common SNPs within 51 thrombosis and inflammation genes for association with VTE in the Cardiovascular Health Study, a large, prospective cohort of older adults followed for up to 12 years. RESULTS There were 184 VTE events that occurred at mean age of 78 years. TagSNPs within four genes encoding FXIII subunit A (F13A), FVII activating protease (HABP2), protease activated receptor-1 (F2R) and the urokinase receptor (PLAUR) showed the strongest evidence for association with VTE, with each gene having a global P-value < 0.05 and at least one tagSNP false discovery rate (FDR) q-value < 0.05. The rs3024409 variant allele of F13A1 was associated with 1.66-fold increased risk of VTE, while the minor alleles of HABP2 rs6585234 and rs3862019, F2R rs253061 and rs153311, and PLAUR rs344782 were each associated with lower risk of VTE (hazard ratios in the range of 0.49-0.66). Consistent with the observed protective association for VTE risk, the HABP2 rs3862019 variant allele was also associated with lower activity levels of coagulation factors FVIII, FIX, FX and plasminogen. We also confirm previously reported associations between common variants of the coagulation FII, FV, FVIII, FXI, alpha-fibrinogen and protein C genes and risk of VTE. CONCLUSIONS These findings suggest that several novel common coagulation gene variants may be related to risk of VTE in older adults. Further studies in older adults are needed to validate these findings and assess functional molecular mechanisms.
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Affiliation(s)
- A P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA.
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Abstract
A sheep farmer provided a maize-based brewer's grain (mieliemaroek) and bales of Eragrostis curvula hay to ewes and their lambs, kept on zero-grazing in pens. The 'mieliemaroek' was visibly mouldy. After 14 days in the feedlot, clinical signs, including generalised weakness, ataxia of the hind limbs, tremors and recumbency, were noticed. Six ewes died within a period of 7 days. A post mortem examination was performed on 1 ewe. The carcass appeared to be cachectic with mild effusions into the body cavities; mild lung congestion and pallor of the kidneys were observed. Microscopical evaluation revealed nephrosis and birefringent oxalate crystals in the renal tubules when viewed under polarised light. A provisional diagnosis of oxalate nephrosis with subsequent kidney failure was made. Amongst other fungi, Aspergillus niger was isolated from 'mieliemaroek' samples submitted for fungal culture and identification. As A. niger is known to synthesise oxalates, a qualitative screen to detect oxalic acid in the mieliemaroek and purified A. niger isolates was performed using high-performance liquid chromatography (HPLC). Oxalic acid was detected, which supported a diagnosis of soluble oxalate-induced nephropathy.
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Affiliation(s)
- C J Botha
- Department of Paraclinical Sciences, Faculty of Veterinary Science, University of Pretoria, Private Bag X04, Onderstepoort, 0110 South Africa.
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Lange L, Simon T, Ibach B, Rietschel E. Shwachman-Diamond-Syndrom als Ursache eines Säuglingsekzems mit begleitender Dystrophie. Klin Padiatr 2009; 221:89-92. [DOI: 10.1055/s-2008-1046762] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Abstract
Data on the epidemiology of adverse drug reactions (ADR), especially allergic drug reactions, in children are rare. The reported prevalence of ADR in pediatric populations varies a lot, depending on type of the study and the country where the data were collected. In order to assess the prevalence of ADR and allergic drug reactions in a population of German children, we conducted a study in a German pediatric university hospital. A questionnaire concerning occurrence and character of ADR was distributed to all parents presenting their children in the hospital for planned admissions or in the emergency department from May 2004 to November 2004. Additional telephone interviews were conducted to specify the reported symptoms in ambiguous cases. One thousand four hundred forty-seven questionnaires were collected. The reported life-time prevalence of ADR according to the information given by the parents was 7.5% (108/1447). Six of the reactions were severe, three children had experienced anaphylactic reactions. In 4.2% (61/1447), the history was suspicious for a potential allergic mechanism because of an immediate or late phase cutaneous drug reaction. In this group, the suspected drugs were antibiotics in 85% (32.7% aminopenicillins, 29.5% other penicillins, 11.5% cefaclor, 8.2% macrolides and 18% others), antiphlogistic and respiratory drugs in 4.9% each and vaccines and contrast media in 3.3% each. There was a higher percentage of children under the age of four suffering from ADR. This trend was not significant when analyzing only the allergic reactions. Forty-four percent of the parents stated, their children suffer from drug allergy, although a clear non-allergic reaction was described. Both, ADR and allergic drug reactions are frequent phenomena in children. It is important to monitor drug therapy for any adverse reaction in order to inform the parents about the character of the adverse reaction, the necessary consequences and to initiate further diagnostic procedures.
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Affiliation(s)
- L Lange
- Children's Hospital, University of Cologne, Cologne, Germany.
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