Search

Your search keyword '"Sarah E Reese"' showing total 16 results
Start Over Author "Sarah E Reese" Language english
16 results on '"Sarah E Reese"'

1. Accuracy of COVID-19–Like Illness Diagnoses in Electronic Health Record Data: Retrospective Cohort Study

Author

Suchitra Rao, Catherine Bozio, Kristen Butterfield, Sue Reynolds, Sarah E Reese, Sarah Ball, Andrea Steffens, Maria Demarco, Charlene McEvoy, Mark Thompson, Elizabeth Rowley, Rachael M Porter, Rebecca V Fink, Stephanie A Irving, and Allison Naleway

Subjects
Medicine
Abstract

BackgroundElectronic health record (EHR) data provide a unique opportunity to study the epidemiology of COVID-19, clinical outcomes of the infection, comparative effectiveness of therapies, and vaccine effectiveness but require a well-defined computable phenotype of COVID-19–like illness (CLI). ObjectiveThe objective of this study was to evaluate the performance of pathogen-specific and other acute respiratory illness (ARI) International Statistical Classification of Diseases-9 and -10 codes in identifying COVID-19 cases in emergency department (ED) or urgent care (UC) and inpatient settings. MethodsWe conducted a retrospective observational cohort study using EHR, claims, and laboratory information system data of ED or UC and inpatient encounters from 4 health systems in the United States. Patients who were aged ≥18 years, had an ED or UC or inpatient encounter for an ARI, and underwent a SARS-CoV-2 polymerase chain reaction test between March 1, 2020, and March 31, 2021, were included. We evaluated various CLI definitions using combinations of International Statistical Classification of Diseases-10 codes as follows: COVID-19–specific codes; CLI definition used in VISION network studies; ARI signs, symptoms, and diagnosis codes only; signs and symptoms of ARI only; and random forest model definitions. We evaluated the sensitivity, specificity, positive predictive value, and negative predictive value of each CLI definition using a positive SARS-CoV-2 polymerase chain reaction test as the reference standard. We evaluated the performance of each CLI definition for distinct hospitalization and ED or UC cohorts. ResultsAmong 90,952 hospitalizations and 137,067 ED or UC visits, 5627 (6.19%) and 9866 (7.20%) were positive for SARS-CoV-2, respectively. COVID-19–specific codes had high sensitivity (91.6%) and specificity (99.6%) in identifying patients with SARS-CoV-2 positivity among hospitalized patients. The VISION CLI definition maintained high sensitivity (95.8%) but lowered specificity (45.5%). By contrast, signs and symptoms of ARI had low sensitivity and positive predictive value (28.9% and 11.8%, respectively) but higher specificity and negative predictive value (85.3% and 94.7%, respectively). ARI diagnoses, signs, and symptoms alone had low predictive performance. All CLI definitions had lower sensitivity for ED or UC encounters. Random forest approaches identified distinct CLI definitions with high performance for hospital encounters and moderate performance for ED or UC encounters. ConclusionsCOVID-19–specific codes have high sensitivity and specificity in identifying adults with positive SARS-CoV-2 test results. Separate combinations of COVID-19-specific codes and ARI codes enhance the utility of CLI definitions in studies using EHR data in hospital and ED or UC settings.

Published
2023
Full Text
View/download PDF

2. Restorative Justice in Education: A Content Analysis of US State Legislation from 2010 to 2020

Author

Jen K. Molloy, Ashley Trautman, Shareen Springer, Michael R. Riquino, Madeline Colson, Sarah E. Reese, Caroline Ross, and Van Nguyen

Abstract

This study sought to understand how state-level policies inform and promote the implementation of restorative justice in education (RJE). A content analysis of 60 laws revealed that definitions, structures, and supports varied greatly, causing us to question whether policies support a systematic implementation of RJE and how policies can prevent the misuse of RJE as an alternative system of punishment. We recommend that laws clearly define the paradigm shift underlying RJE, and provide sustained support to promote a realignment of policies and practices with attention to incorporating measures of accountability to larger values surrounding equity and justice.

Published
2024
Full Text
View/download PDF

3. Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age

Author

Simon Kebede Merid, Alexei Novoloaca, Gemma C. Sharp, Leanne K. Küpers, Alvin T. Kho, Ritu Roy, Lu Gao, Isabella Annesi-Maesano, Pooja Jain, Michelle Plusquin, Manolis Kogevinas, Catherine Allard, Florianne O. Vehmeijer, Nabila Kazmi, Lucas A. Salas, Faisal I. Rezwan, Hongmei Zhang, Sylvain Sebert, Darina Czamara, Sheryl L. Rifas-Shiman, Phillip E. Melton, Debbie A. Lawlor, Göran Pershagen, Carrie V. Breton, Karen Huen, Nour Baiz, Luigi Gagliardi, Tim S. Nawrot, Eva Corpeleijn, Patrice Perron, Liesbeth Duijts, Ellen Aagaard Nohr, Mariona Bustamante, Susan L. Ewart, Wilfried Karmaus, Shanshan Zhao, Christian M. Page, Zdenko Herceg, Marjo-Riitta Jarvelin, Jari Lahti, Andrea A. Baccarelli, Denise Anderson, Priyadarshini Kachroo, Caroline L. Relton, Anna Bergström, Brenda Eskenazi, Munawar Hussain Soomro, Paolo Vineis, Harold Snieder, Luigi Bouchard, Vincent W. Jaddoe, Thorkild I. A. Sørensen, Martine Vrijheid, S. Hasan Arshad, John W. Holloway, Siri E. Håberg, Per Magnus, Terence Dwyer, Elisabeth B. Binder, Dawn L. DeMeo, Judith M. Vonk, John Newnham, Kelan G. Tantisira, Inger Kull, Joseph L. Wiemels, Barbara Heude, Jordi Sunyer, Wenche Nystad, Monica C. Munthe-Kaas, Katri Räikkönen, Emily Oken, Rae-Chi Huang, Scott T. Weiss, Josep Maria Antó, Jean Bousquet, Ashish Kumar, Cilla Söderhäll, Catarina Almqvist, Andres Cardenas, Olena Gruzieva, Cheng-Jian Xu, Sarah E. Reese, Juha Kere, Petter Brodin, Olivia Solomon, Matthias Wielscher, Nina Holland, Akram Ghantous, Marie-France Hivert, Janine F. Felix, Gerard H. Koppelman, Stephanie J. London, and Erik Melén

Subjects
Development, Epigenetics, Gestational age, Preterm birth, Transcriptomics, Medicine, Genetics, QH426-470
Abstract

Abstract Background Preterm birth and shorter duration of pregnancy are associated with increased morbidity in neonatal and later life. As the epigenome is known to have an important role during fetal development, we investigated associations between gestational age and blood DNA methylation in children. Methods We performed meta-analysis of Illumina’s HumanMethylation450-array associations between gestational age and cord blood DNA methylation in 3648 newborns from 17 cohorts without common pregnancy complications, induced delivery or caesarean section. We also explored associations of gestational age with DNA methylation measured at 4–18 years in additional pediatric cohorts. Follow-up analyses of DNA methylation and gene expression correlations were performed in cord blood. DNA methylation profiles were also explored in tissues relevant for gestational age health effects: fetal brain and lung. Results We identified 8899 CpGs in cord blood that were associated with gestational age (range 27–42 weeks), at Bonferroni significance, P

Published
2020
Full Text
View/download PDF

4. An Integrated Mechanistic Model of Mindfulness-Oriented Recovery Enhancement for Opioid-Exposed Mother–Infant Dyads

Author

Sarah E. Reese, Elisabeth Conradt, Michael R. Riquino, and Eric L. Garland

Subjects
pregnancy, parenting (MeSH), opioid misuse, mindfulness, savoring, Psychology, BF1-990
Abstract

A growing body of neurobiological and psychological research sheds light on the mechanisms underlying the development and maintenance of opioid use disorder and its relation to parenting behavior. Perinatal opioid use is associated with risks for women and children, including increased risk of child maltreatment. Drawing from extant data, here we provide an integrated mechanistic model of perinatal opioid use, parenting behavior, infant attachment, and child well-being to inform the development and adaptation of behavioral interventions for opioid-exposed mother–infant dyads. The model posits that recurrent perinatal opioid use may lead to increased stress sensitivity and reward dysregulation for some mothers, resulting in decreased perceived salience of infant cues, disengaged parenting behavior, disrupted infant attachment, and decreased child well-being. We conclude with a discussion of Mindfulness-Oriented Recovery Enhancement as a means of addressing mechanisms undergirding perinatal opioid use, parenting, and attachment, presenting evidence on the efficacy and therapeutic mechanisms of mindfulness. As perinatal opioid use increases in the United States, empirically informed models can be used to guide treatment development research and address this growing concern.

Published
2021
Full Text
View/download PDF

5. Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight

Author

Leanne K. Küpers, Claire Monnereau, Gemma C. Sharp, Paul Yousefi, Lucas A. Salas, Akram Ghantous, Christian M. Page, Sarah E. Reese, Allen J. Wilcox, Darina Czamara, Anne P. Starling, Alexei Novoloaca, Samantha Lent, Ritu Roy, Cathrine Hoyo, Carrie V. Breton, Catherine Allard, Allan C. Just, Kelly M. Bakulski, John W. Holloway, Todd M. Everson, Cheng-Jian Xu, Rae-Chi Huang, Diana A. van der Plaat, Matthias Wielscher, Simon Kebede Merid, Vilhelmina Ullemar, Faisal I. Rezwan, Jari Lahti, Jenny van Dongen, Sabine A. S. Langie, Tom G. Richardson, Maria C. Magnus, Ellen A. Nohr, Zongli Xu, Liesbeth Duijts, Shanshan Zhao, Weiming Zhang, Michelle Plusquin, Dawn L. DeMeo, Olivia Solomon, Joosje H. Heimovaara, Dereje D. Jima, Lu Gao, Mariona Bustamante, Patrice Perron, Robert O. Wright, Irva Hertz-Picciotto, Hongmei Zhang, Margaret R. Karagas, Ulrike Gehring, Carmen J. Marsit, Lawrence J. Beilin, Judith M. Vonk, Marjo-Riitta Jarvelin, Anna Bergström, Anne K. Örtqvist, Susan Ewart, Pia M. Villa, Sophie E. Moore, Gonneke Willemsen, Arnout R. L. Standaert, Siri E. Håberg, Thorkild I. A. Sørensen, Jack A. Taylor, Katri Räikkönen, Ivana V. Yang, Katerina Kechris, Tim S. Nawrot, Matt J. Silver, Yun Yun Gong, Lorenzo Richiardi, Manolis Kogevinas, Augusto A. Litonjua, Brenda Eskenazi, Karen Huen, Hamdi Mbarek, Rachel L. Maguire, Terence Dwyer, Martine Vrijheid, Luigi Bouchard, Andrea A. Baccarelli, Lisa A. Croen, Wilfried Karmaus, Denise Anderson, Maaike de Vries, Sylvain Sebert, Juha Kere, Robert Karlsson, Syed Hasan Arshad, Esa Hämäläinen, Michael N. Routledge, Dorret I. Boomsma, Andrew P. Feinberg, Craig J. Newschaffer, Eva Govarts, Matthieu Moisse, M. Daniele Fallin, Erik Melén, Andrew M. Prentice, Eero Kajantie, Catarina Almqvist, Emily Oken, Dana Dabelea, H. Marike Boezen, Phillip E. Melton, Rosalind J. Wright, Gerard H. Koppelman, Letizia Trevisi, Marie-France Hivert, Jordi Sunyer, Monica C. Munthe-Kaas, Susan K. Murphy, Eva Corpeleijn, Joseph Wiemels, Nina Holland, Zdenko Herceg, Elisabeth B. Binder, George Davey Smith, Vincent W. V. Jaddoe, Rolv T. Lie, Wenche Nystad, Stephanie J. London, Debbie A. Lawlor, Caroline L. Relton, Harold Snieder, and Janine F. Felix

Subjects
Science
Abstract

Birthweight has been found to associate with later-life health outcomes. Here the authors perform a meta-analysis of epigenome-wide association studies of 8,825 neonates from 24 birth cohorts in the Pregnancy And Childhood Epigenetics Consortium, identifying differentially methylated CpGs in neonatal blood that associate with birthweight.

Published
2019
Full Text
View/download PDF

6. Maternal plasma folate impacts differential DNA methylation in an epigenome-wide meta-analysis of newborns

Author

Bonnie R. Joubert, Herman T. den Dekker, Janine F. Felix, Jon Bohlin, Symen Ligthart, Emma Beckett, Henning Tiemeier, Joyce B. van Meurs, Andre G. Uitterlinden, Albert Hofman, Siri E. Håberg, Sarah E. Reese, Marjolein J. Peters, Bettina Kulle Andreassen, Eric A. P. Steegers, Roy M. Nilsen, Stein E. Vollset, Øivind Midttun, Per M. Ueland, Oscar H. Franco, Abbas Dehghan, Johan C. de Jongste, Michael C. Wu, Tianyuan Wang, Shyamal D. Peddada, Vincent W. V. Jaddoe, Wenche Nystad, Liesbeth Duijts, and Stephanie J. London

Subjects
Science
Abstract

Folic acid is routinely recommended for women trying to conceive to ensure proper fetal development. Here, the authors perform a large epigenomics study to examine which fetal epigenetic changes are associated with varied maternal plasma folate levels.

Published
2016
Full Text
View/download PDF

7. DNA methylation and body mass index from birth to adolescence : meta-analyses of epigenome-wide association studies

Author

Anni Heiskala, Gwen Tindula, Samuli Tuominen, Anne P. Starling, Vincent W. V. Jaddoe, Samantha Lent, Katri Räikkönen, Carlos Ruiz-Arenas, Thorkild I. A. Sørensen, Dariusz Gruszfeld, Cathrine Hoyo, Johanna Lepeule, Tong Gong, Erik Melén, Ellen A. Nohr, Ivana V. Yang, John W. Holloway, Jari Lahti, Susan Ewart, Mariona Bustamante, Veit Grote, Marjo-Riitta Järvelin, Brenda Eskenazi, Philip E. Melton, Catarina Almqvist, Robert Karlsson, Elisabeth B. Binder, Weiming Zhang, Dereje D. Jima, Dana Dabelea, Maria C. Magnus, Lucas A. Salas, Jean-Paul Langhendries, Trevor A. Mori, Syed Hasan Arshad, Peter Rzehak, Florianne O L Vehmeijer, Leanne K. Küpers, Inger Kull, Caroline L Relton, Judith M. Vonk, Emily Oken, Vilhelmina Ullemar, Cancan Qi, Wilfried Karmaus, Martine Vrijheid, Darina Czamara, Peter L. Molloy, Anna Bergström, Olena Gruzieva, Hongmei Zhang, Wenche Nystad, Lu Gao, Marie-France Hivert, Beverly S. Muhlhausler, Rachel L. Maguire, Lawrence J. Beilin, Jason P. Ross, Eva Corpeleijn, Faisal I. Rezwan, Sylvain Sebert, Siri E. Håberg, Gemma C Sharp, Cheng-Jian Xu, Natalia Ferre, Gerard H. Koppelman, Leda Chatzi, Nina Holland, Janine F. Felix, Berthold Koletzko, Stephanie J. London, Christian M. Page, Harold Snieder, Carrie V. Breton, Susan K. Murphy, Rae-Chi Huang, Claire Monnereau, Elvira Verduci, Karen Huen, Geòrgia Escaramís, Gunn Marit Aasvang, Andrea A. Baccarelli, Paul Yousefi, Sarah E. Reese, Sheryl L. Rifas-Shiman, Department of Psychology and Logopedics, Erasmus University Medical Center [Rotterdam] (Erasmus MC), University of Bristol [Bristol], University of Groningen [Groningen], Geisel School of Medicine at Dartmouth, Instituto de Salud Global - Institute For Global Health [Barcelona] (ISGlobal), Universitat Pompeu Fabra [Barcelona] (UPF), CIBER de Epidemiología y Salud Pública (CIBERESP), Boston University School of Medicine (BUSM), Boston University [Boston] (BU), North Carolina State University [Raleigh] (NC State), University of North Carolina System (UNC), University of California [Berkeley], University of California, National Institutes of Health [Bethesda] (NIH), University Medical Center Groningen [Groningen] (UMCG), Groningen Research Institute for Asthma and COPD (GRIAC), Karolinska Institutet [Stockholm], Centre for Occupational and Environmental Medicine [Stockholm, Sweden] (Region Stockholm), Norwegian Institute of Public Health [Oslo] (NIPH), Oslo University Hospital [Oslo], Cranfield University, University of Southampton, Curtin University [Perth], Planning and Transport Research Centre (PATREC), The University of Western Australia (UWA), University of South-Eastern Norway (USN), University of Southern Denmark (SDU), University of Barcelona, Universitat de Girona [Girona], Universitat de Girona (UdG), Dr von Hauner Children's Hospital [Munich, Germany], Ludwig-Maximilians-Universität München (LMU), University of Oulu, University of Helsinki, University of Southern California (USC), CSIRO - North Ryde Site [New SouthWales, Australia], Colorado School of Public Health [Aurora, CO, USA] (CSPH), University of Colorado Anschutz [Aurora], Max Planck Institute of Psychiatry, Max-Planck-Gesellschaft, Emory University School of Medicine, Emory University [Atlanta, GA], Keck School of Medicine [Los Angeles], Michigan State University [East Lansing], Michigan State University System, Universitat Rovira i Virgili, Children’s Memorial Health Institute [Warsaw, Poland] (CMHI), Sachs’ Children and Youth Hospital [Stockholm, Sweden], Clinique Saint-Vincent [Liège-Rocourt,Belgium] (Groupe santé CHC), Université Grenoble Alpes (UGA), Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) (IAB), Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Duke University Medical Center, Harvard Medical School [Boston] (HMS), University of Milan, Helmholtz Centre for Infection Research (HZI), Centre for Experimental and Clinical Infection Research [Hanover] (TWINCORE), University of Colorado [Colorado Springs] (UCCS), Jewish General Hospital, University of Memphis (U of M), CSIRO ADELAIDE AUS, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), University of Turku, Karolinska University Hospital [Stockholm], Imperial College London, Brunel University London [Uxbridge], Oulu University Hospital [Oulu], University of Copenhagen = Københavns Universitet (KU), The David Hide Asthma and Allergy Research Centre [Southampton, UK], St Mary's Hospital-University Hospital Southampton NHS Foundation Trust, Beatrix Children's Hospital [Groningen, Pays-Bas], Massachusetts General Hospital [Boston], Université de Sherbrooke (UdeS), Mailman School of Public Health Columbia University [New-York], European Project: 733206,H2020,H2020-SC1-2016-RTD,LIFECYCLE(2017), Epidemiology, Pediatrics, Life Course Epidemiology (LCE), HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany., University of California [Berkeley] (UC Berkeley), University of California (UC), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Università degli Studi di Milano = University of Milan (UNIMI), University of Copenhagen = Københavns Universitet (UCPH), BARBAGALLO, Maïlys, and Early-life stressors and LifeCycle health - LIFECYCLE - - H20202017-01-01 - 2021-12-31 - 733206 - VALID

Subjects
Male, 0301 basic medicine, Pediatric Obesity, [SDV]Life Sciences [q-bio], CHILDHOOD, LOCI, Physiology, CHILDREN, Cardiovascular, Oral and gastrointestinal, Epigenesis, Genetic, Epigenome, 0302 clinical medicine, Pregnancy, 2.1 Biological and endogenous factors, Medicine, PROMOTER METHYLATION, Childhood obesity, CORD BLOOD, Aetiology, Child, Genetics (clinical), Body mass index, Cancer, Genetics & Heredity, Pediatric, 2. Zero hunger, DNA methylation, 1184 Genetics, developmental biology, physiology, Methylation, Fetal Blood, [SDV] Life Sciences [q-bio], Stroke, Child, Preschool, 030220 oncology & carcinogenesis, OBESITY, Molecular Medicine, Female, Epigenetics, ADIPOSITY, social and economic factors, Life Sciences & Biomedicine, Adolescent, Clinical Sciences, 03 medical and health sciences, BMI, Genetic, 2.3 Psychological, Genetics, Humans, LMS METHOD, Obesity, Preschool, Molecular Biology, Metabolic and endocrine, Nutrition, Genetic association, 0604 Genetics, Science & Technology, business.industry, Research, Prevention, Human Genome, Parturition, 1103 Clinical Sciences, medicine.disease, Cross-Sectional Studies, 030104 developmental biology, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, DISCOVERY, CpG Islands, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, Epigenesis
Abstract

Background DNA methylation has been shown to be associated with adiposity in adulthood. However, whether similar DNA methylation patterns are associated with childhood and adolescent body mass index (BMI) is largely unknown. More insight into this relationship at younger ages may have implications for future prevention of obesity and its related traits. Methods We examined whether DNA methylation in cord blood and whole blood in childhood and adolescence was associated with BMI in the age range from 2 to 18 years using both cross-sectional and longitudinal models. We performed meta-analyses of epigenome-wide association studies including up to 4133 children from 23 studies. We examined the overlap of findings reported in previous studies in children and adults with those in our analyses and calculated enrichment. Results DNA methylation at three CpGs (cg05937453, cg25212453, and cg10040131), each in a different age range, was associated with BMI at Bonferroni significance, P −7, with a 0.96 standard deviation score (SDS) (standard error (SE) 0.17), 0.32 SDS (SE 0.06), and 0.32 BMI SDS (SE 0.06) higher BMI per 10% increase in methylation, respectively. DNA methylation at nine additional CpGs in the cross-sectional childhood model was associated with BMI at false discovery rate significance. The strength of the associations of DNA methylation at the 187 CpGs previously identified to be associated with adult BMI, increased with advancing age across childhood and adolescence in our analyses. In addition, correlation coefficients between effect estimates for those CpGs in adults and in children and adolescents also increased. Among the top findings for each age range, we observed increasing enrichment for the CpGs that were previously identified in adults (birth Penrichment = 1; childhood Penrichment = 2.00 × 10−4; adolescence Penrichment = 2.10 × 10−7). Conclusions There were only minimal associations of DNA methylation with childhood and adolescent BMI. With the advancing age of the participants across childhood and adolescence, we observed increasing overlap with altered DNA methylation loci reported in association with adult BMI. These findings may be compatible with the hypothesis that DNA methylation differences are mostly a consequence rather than a cause of obesity.

Published
2020
Full Text
View/download PDF

8. Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age

Author

Marjo-Riitta Järvelin, Catherine Allard, Andres Cardenas, Olivia Solomon, Barbara Heude, Vincent W. V. Jaddoe, Wilfried Karmaus, Terence Dwyer, Katri Räikkönen, Darina Czamara, Olena Gruzieva, Isabella Annesi-Maesano, Manolis Kogevinas, Simon Kebede Merid, Hongmei Zhang, Wenche Nystad, Florianne O L Vehmeijer, Erik Melén, Susan Ewart, Lu Gao, Michelle Plusquin, Sarah E. Reese, Munawar Hussain Soomro, Marie-France Hivert, Zdenko Herceg, Andrea A. Baccarelli, Janine F. Felix, Luigi Bouchard, Göran Pershagen, Jordi Sunyer, Alexei Novoloaca, Joseph L. Wiemels, Elisabeth B. Binder, John P. Newnham, Thorkild I. A. Sørensen, Sheryl L. Rifas-Shiman, Ellen A. Nohr, Nabila Kazmi, Carrie V. Breton, Ashok Kumar, Juha Kere, Nina Holland, Josep M. Antó, Debbie A Lawlor, Karen Huen, Rae-Chi Huang, Inger Kull, Brenda Eskenazi, Paolo Vineis, Matthias Wielscher, Monica Cheng Munthe-Kaas, Catarina Almqvist, Cilla Söderhäll, Lucas A. Salas, Jean Bousquet, Alvin T. Kho, Patrice Perron, Petter Brodin, Martine Vrijheid, Kelan G. Tantisira, Per Magnus, Scott T. Weiss, Faisal I. Rezwan, Nour Baïz, Stephanie J. London, Gemma C Sharp, Phillip E. Melton, Emily Oken, Luigi Gagliardi, John W. Holloway, Gerard H. Koppelman, Siri E. Håberg, Caroline L Relton, Leanne K. Küpers, Denise Anderson, Jari Lahti, Tim S. Nawrot, Mariona Bustamante, Priyadarshini Kachroo, S. Hasan Arshad, Dawn L. DeMeo, Liesbeth Duijts, Sylvain Sebert, Shanshan Zhao, Eva Corpeleijn, Judith M. Vonk, Christian M. Page, Harold Snieder, Pooja Jain, Akram Ghantous, Anna Bergström, Cheng-Jian Xu, Ritu Roy, Rezwan, Faisal Ibne/0000-0001-9921-222X, Holloway, John/0000-0001-9998-0464, Lawlor, Debbie A/0000-0002-6793-2262, Salas, Lucas A/0000-0002-2279-4097, Cardenas, Andres/0000-0003-2284-3298, Sharp, Gemma/0000-0003-2906-4035, Lifestyle Medicine (LM), Reproductive Origins of Adult Health and Disease (ROAHD), Life Course Epidemiology (LCE), Groningen Research Institute for Asthma and COPD (GRIAC), Doctoral Programme in Cognition, Learning, Instruction and Communication, Department of Psychology and Logopedics, Developmental Psychology Research Group, Faculty of Medicine, University of Helsinki, STEMM - Stem Cells and Metabolism Research Program, Juha Kere / Principal Investigator, Research Programs Unit, HUS Helsinki and Uusimaa Hospital District, UNIVERSITY OF OULU, Salvy-Córdoba, Nathalie, Karolinska Institutet [Stockholm], Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, International Agency for Cancer Research (IACR), MRC Integrative Epidemiology Unit [Bristol, Royaume-Uni] (MRC IEU), University of Bristol [Bristol], Bristol Medical School, Wageningen University and Research [Wageningen] (WUR), University of Groningen [Groningen], Boston Children's Hospital, Harvard Medical School [Boston] (HMS), University of California [San Francisco] (UC San Francisco), University of California (UC), Helen Diller Family Comprehensive Cancer Center [San Francisco], Southern California University of Health Sciences (SCU), Epidemiology of Allergic and Respiratory Diseases Department [iPlesp] (EPAR), Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), NIHR Biomedical Research Centre [London], Guy's and St Thomas' NHS Foundation Trust-King‘s College London, Imperial College London, Hasselt University (UHasselt), Instituto de Salud Global - Institute For Global Health [Barcelona] (ISGlobal), Universitat Pompeu Fabra [Barcelona] (UPF), CIBER de Epidemiología y Salud Pública (CIBERESP), IMIM-Hospital del Mar, Generalitat de Catalunya, Faculté de médecine et des sciences de la santé [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Geisel School of Medicine at Dartmouth, Cranfield University, University of Memphis (U of M), University of Oulu, Department of Biology and Biocenter Oulu, Max Planck Institute of Psychiatry, Max-Planck-Gesellschaft, Harvard Pilgrim Health Care Institute, Curtin University [Bentley, WA, Australie], The University of Western Australia (UWA), NIHR Bristol Biomedical Research Centre, Centre for Occupational and Environmental Medicine [Stockholm, Sweden] (Region Stockholm), University of Southern California (USC), University of California [Berkeley] (UC Berkeley), USL Tuscany Northwest, NIHR Health Protection Research Unit, Partenaires INRAE, University Hospitals Leuven [Leuven], University Medical Center Groningen [Groningen] (UMCG), CHUS – Centre Hospitalier Universitaire de Sherbrooke [Sherbrooke, QC, Canada], University of Southern Denmark (SDU), Michigan State University [East Lansing], Michigan State University System, National Institute of Environmental Health Sciences [Durham] (NIEHS-NIH), National Institutes of Health [Bethesda] (NIH), Norwegian Institute of Public Health [Oslo] (NIPH), Centre International de Recherche contre le Cancer - International Agency for Research on Cancer (CIRC - IARC), Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Turku Institute for Advanced Studies, Columbia Mailman School of Public Health, Columbia University [New York], Telethon KIDS Institute, Brigham and Women’s Hospital [Boston, MA], Département des Sciences Fondamentales [Saguenay, QC, Canada], Université du Québec à Chicoutimi (UQAC), Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), University of Copenhagen = Københavns Universitet (UCPH), University of Southampton, The David Hide Asthma and Allergy Research Centre, St Mary's Hospital-University Hospital Southampton NHS Foundation Trust, University Hospital Southampton NHS Foundation Trust, Nuffield Department of Women's and Reproductive Health (NDWRH), University of Oxford- John Radcliffe Hospital [Oxford University Hospital], Murdoch Children's Research Institute (MCRI), Emory University School of Medicine, Emory University [Atlanta, GA], Brigham and Women's Hospital [Boston], Karolinska Institutet Science Park, Sachs' Children's Hospital, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Research Team on Early life Origins of Health (EarOH), Oslo University Hospital [Oslo], Brigham & Women’s Hospital [Boston] (BWH), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], University of Basel (Unibas), Swiss Tropical and Public Health Institute [Basel], Astrid Lindgren Children's Hospital, Karolinska University Hospital [Stockholm], School of Public Health [Berkeley], University of California (UC)-University of California (UC), Beatrix Children's Hospital, Folkhälsan Research Center, Faculty of Medecine [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, SE-17165 Sweden., Massachusetts General Hospital [Boston], Erasmus MC other, and Pediatrics

Subjects
Male, Physiology, MESH: Epigenome, Fetal Development, Epigenome, 0302 clinical medicine, MESH: Child, MATERNAL SMOKING, CORD BLOOD, Aetiology, Child, Lung, Genetics & Heredity, 1184 Genetics, developmental biology, physiology, ASSOCIATION, ALSPAC, 3. Good health, Child, Preschool, 030220 oncology & carcinogenesis, Epigenetics, Infant, Premature, Clinical Sciences, Development, 03 medical and health sciences, Clinical Research, Genetics, Humans, Transcriptomics, Premature, Molecular Biology, MESH: Adolescent, 0604 Genetics, Pregnancy, MESH: Humans, Science & Technology, MESH: Child, Preschool, lcsh:R, PRENATAL ARSENIC EXPOSURE, Infant, DNA, DNA Methylation, medicine.disease, 030104 developmental biology, Genetic Loci, COHORT PROFILE, MESH: Female, 0301 basic medicine, MESH: Premature Birth, Nutrition and Disease, lcsh:Medicine, Reproductive health and childbirth, MESH: DNA Methylation, Voeding en Ziekte, 2.1 Biological and endogenous factors, RUNX3 GENE, Genetics (clinical), RISK, Pediatric, MESH: Infant, Newborn, MESH: DNA, Gestational age, Premature birth, Cord blood, DNA methylation, Premature Birth, Molecular Medicine, Female, Life Sciences & Biomedicine, MESH: Fetal Development, MESH: Infant, Premature, lcsh:QH426-470, Adolescent, [SDV.GEN.GH] Life Sciences [q-bio]/Genetics/Human genetics, MESH: Genetic Loci, [SDV.MHEP.PED] Life Sciences [q-bio]/Human health and pathology/Pediatrics, medicine, Preschool, [SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/Pediatrics, Fetus, business.industry, Research, Human Genome, Infant, Newborn, CHILDHOOD ASTHMA, 1103 Clinical Sciences, Preterm birth, Perinatal Period - Conditions Originating in Perinatal Period, Newborn, MESH: Male, lcsh:Genetics, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, 3111 Biomedicine, WEIGHT, business
Abstract

Background Preterm birth and shorter duration of pregnancy are associated with increased morbidity in neonatal and later life. As the epigenome is known to have an important role during fetal development, we investigated associations between gestational age and blood DNA methylation in children. Methods We performed meta-analysis of Illumina’s HumanMethylation450-array associations between gestational age and cord blood DNA methylation in 3648 newborns from 17 cohorts without common pregnancy complications, induced delivery or caesarean section. We also explored associations of gestational age with DNA methylation measured at 4–18 years in additional pediatric cohorts. Follow-up analyses of DNA methylation and gene expression correlations were performed in cord blood. DNA methylation profiles were also explored in tissues relevant for gestational age health effects: fetal brain and lung. Results We identified 8899 CpGs in cord blood that were associated with gestational age (range 27–42 weeks), at Bonferroni significance, P − 7, of which 3343 were novel. These were annotated to 4966 genes. After restricting findings to at least three significant adjacent CpGs, we identified 1276 CpGs annotated to 325 genes. Results were generally consistent when analyses were restricted to term births. Cord blood findings tended not to persist into childhood and adolescence. Pathway analyses identified enrichment for biological processes critical to embryonic development. Follow-up of identified genes showed correlations between gestational age and DNA methylation levels in fetal brain and lung tissue, as well as correlation with expression levels. Conclusions We identified numerous CpGs differentially methylated in relation to gestational age at birth that appear to reflect fetal developmental processes across tissues. These findings may contribute to understanding mechanisms linking gestational age to health effects.

Published
2020
Full Text
View/download PDF

9. Mindfulness-Oriented Recovery Enhancement Reduces Opioid Misuse Risk Via Analgesic and Positive Psychological Mechanisms: A Randomized Controlled Trial

Author

Karen Salas, Myranda A Bryan, Michael R. Riquino, Yoshio Nakamura, Rachel Atchley, Brett Froeliger, Matthew O. Howard, Eric L. Garland, Brooke P Yack, Sarah E. Reese, Carter E Bedford, Adam W. Hanley, and Anne K. Baker

Subjects
Adult, Male, 050103 clinical psychology, medicine.medical_specialty, Psychotherapeutic Processes, Analgesic, Psychological intervention, Article, law.invention, Randomized controlled trial, law, Internal medicine, medicine, Humans, 0501 psychology and cognitive sciences, Aged, 05 social sciences, Chronic pain, Middle Aged, medicine.disease, Opioid-Related Disorders, Mental health, Substance abuse, Analgesics, Opioid, Psychiatry and Mental health, Clinical Psychology, Affect, Self-Help Groups, Treatment Outcome, Opioid, Psychological pain, Female, Analgesia, Chronic Pain, Psychology, Mindfulness, medicine.drug
Abstract

OBJECTIVE Despite the heightened urgency of the current prescription opioid crisis, few psychotherapies have been evaluated for chronic pain patients receiving long-term opioid analgesics. Current psychological pain treatments focus primarily on ameliorating negative affective processes, yet basic science suggests that risk for opioid misuse is linked with a dearth of positive affect. Interventions that modulate positive psychological processes may produce therapeutic benefits among patients with opioid-treated chronic pain. The aim of this study was to conduct a theory-driven mechanistic analysis of proximal outcome data from a Stage 2 randomized controlled trial of Mindfulness-Oriented Recovery Enhancement (MORE), an integrative intervention designed to promote positive psychological health. METHOD Patients with opioid-treated chronic pain (N = 95; age = 56.8 ± 11.7; 66% female) were randomized to 8 weeks of therapist-led MORE or support group (SG) interventions. A latent positive psychological health variable comprised of positive affect, meaning in life, and self-transcendence measures was examined as a mediator of the effect of MORE on changes in pain severity at posttreatment and opioid misuse risk by 3-month follow-up. RESULTS Participants in MORE reported significantly greater reductions in pain severity by posttreatment (p = .03) and opioid misuse risk by 3-month follow-up (p = .03) and significantly greater increases in positive psychological health (p < .001) than SG participants. Increases in positive psychological health mediated the effect of MORE on pain severity by posttreatment (p = .048), which in turn predicted decreases in opioid misuse risk by follow-up (p = .02). CONCLUSIONS Targeting positive psychological mechanisms via MORE and other psychological interventions may reduce opioid misuse risk among chronic pain patients receiving long-term opioid therapy. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Published
2019

10. Comparison of smoking-related DNA methylation between newborns from prenatal exposure and adults from personal smoking

Author

Harold Snieder, Stella Aslibekyan, Myriam Fornage, Erik Melén, Sinjini Sikdar, Jennifer A. Brody, Tianyuan Wang, Isabelle Romieu, Tao Xu, Ken K. Ong, Jack A. Taylor, Jennifer A. Smith, Daniel Levy, Radhika Dhingra, Sarah E. Reese, Christina A. Markunas, Susan K. Murphy, Cathrine Hoyo, Marta Vives-Usano, Bonnie R. Joubert, Mariona Bustamante, Faisal I. Rezwan, Isabella Annesi-Maesano, Brian D. Bennett, Caroline L Relton, Melanie Waldenberger, Andrea A. Baccarelli, Karen N. Conneely, Nona Sotoodehnia, Yongmei Liu, Siri E. Håberg, Susan Ewart, Akram Ghantous, Monica Cheng Munthe-Kaas, Wenche Nystad, Vincent W. V. Jaddoe, Rebecca C Richmond, Allan C. Just, Kelly M. Bakulski, Sharon L.R. Kardia, Weihua Guan, Roby Joehanes, Stephanie J. London, Donna K. Arnett, Leanne K. Küpers, Nour Baïz, Lindsay M. Reynolds, Hortensia Moreno-Macias, Alison A. Motsinger-Reif, Shanshan Zhao, James M. Ward, Pooja R. Mandaviya, Cheng-Jian Xu, Janine F. Felix, Ian J. Deary, Jianping Jin, Gerard H. Koppelman, Joyce B. J. van Meurs, Zdenko Herceg, Joehanes, Roby [0000-0001-5549-9054], Xu, Cheng-Jian [0000-0003-1586-4672], Wang, Tianyuan [0000-0002-3970-0771], Apollo - University of Cambridge Repository, Life Course Epidemiology (LCE), Groningen Research Institute for Asthma and COPD (GRIAC), Epidemiology, Erasmus MC other, Pediatrics, Clinical Chemistry, and Internal Medicine

Subjects
0301 basic medicine, Adult, Epigenomics, Cancer Research, Nutrition and Disease, Offspring, Physiology, cigarette smoking, Biology, Epigenesis, Genetic, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Pregnancy, Voeding en Ziekte, maternal exposure, Genetics, medicine, Tobacco Smoking, Humans, 030212 general & internal medicine, Epigenetics, Prenatal exposure, epigenetics, Infant, Newborn, Cigarette Smoking, Infant, Maternal Exposure, Methylation, DNA Methylation, medicine.disease, infant, 3. Good health, 030104 developmental biology, In utero, Prenatal Exposure Delayed Effects, DNA methylation, CpG Islands, Female, ICEP, methylation, Research Article
Abstract

Aim: Cigarette smoking influences DNA methylation genome wide, in newborns from pregnancy exposure and in adults from personal smoking. Whether a unique methylation signature exists for in utero exposure in newborns is unknown. Materials & methods: We separately meta-analyzed newborn blood DNA methylation (assessed using Illumina450k Beadchip), in relation to sustained maternal smoking during pregnancy (9 cohorts, 5648 newborns, 897 exposed) and adult blood methylation and personal smoking (16 cohorts, 15907 participants, 2433 current smokers). Results & conclusion: Comparing meta-analyses, we identified numerous signatures specific to newborns along with many shared between newborns and adults. Unique smoking-associated genes in newborns were enriched in xenobiotic metabolism pathways. Our findings may provide insights into specific health impacts of prenatal exposure on offspring.

Published
2019
Full Text
View/download PDF

11. DNA Methylation in Newborns and Maternal Smoking in Pregnancy

Author

Anna Bergström, Carrie V. Breton, Marie-France Hivert, Oscar H. Franco, Roy Miodini Nilsen, Leanne K. Küpers, Kelly M. Bakulski, Mariona Pinart, Eva Corpeleijn, Erik Melén, Paul Yousefi, Symen Ligthart, Cilla Söderhäll, Monica Cheng Munthe-Kaas, Hasan Arshad, Donglei Hu, Pieter van der Vlies, Göran Pershagen, Bilal M. Quraishi, Jörg Tost, Ashok Kumar, Inger Kull, Nathanaël Lemonnier, Ahmad Vaez, Albert Hofman, Wilfried Karmaus, Sara E. Benjamin Neelon, Joyce B. J. van Meurs, Susan Ewart, Celeste Eng, Cathrine Hoyo, M. Daniele Fallin, Juha Kere, Andrea A. Baccarelli, Olena Gruzieva, Henning Tiemeier, Allan C. Just, Isabella Annesi-Maesano, Rebecca C Richmond, Andrew P. Feinberg, Gemma C Sharp, Christina A. Markunas, Carlos Ruiz, Charles Auffray, Harold Snieder, Simon Kebede Merid, Nour Baïz, Josep M. Antó, Brenda Eskenazi, Susan K. Murphy, Hongmei Zhang, Fahimeh Falahi, Christine Ladd-Acosta, Martine Vrijheid, Jin Yao, Sarah E. Reese, Marie José Saurel-Coubizolles, Karen Huen, Zdenko Herceg, Tianyuan Wang, Lisa F. Barcellos, Siri E. Håberg, Cheng-Jian Xu, Marjan Kerkhof, Nina Holland, Stephanie J. London, John W. Holloway, Barbara Heude, Hector Hernandez-Vargas, Mariona Bustamante, Marie-Aline Charles, Augusto A. Litonjua, Tom R. Gaunt, Dawn L. DeMeo, Abbas Dehghan, Zongli Xu, Bernard F. Fuemmeler, Caroline L Relton, Jordi Sunyer, Juan R. González, Jie Ren, Marjolein J. Peters, Ulrike Gehring, Sam S. Oh, Jack A. Taylor, Soesma A Jankipersadsing, Wenche Nystad, Matthew W. Gillman, Asa Bradman, Wendy L. McArdle, Vincent W. V. Jaddoe, George Davey Smith, Dirkje S. Postma, Magnus Wickman, Johanna Lepeule, Bonnie R. Joubert, Bert Brunekreef, Stefano Guerra, Liesbeth Duijts, Gerard H. Koppelman, Janine F. Felix, Esteban G. Burchard, Allen J. Wilcox, Michael C. Wu, Lucas A. Salas, Akram Ghantous, Epidemiology, Erasmus MC other, Pediatric Surgery, Pediatrics, Internal Medicine, Gastroenterology & Hepatology, dIRAS RA-2, Risk Assessment, Groningen Research Institute for Asthma and COPD (GRIAC), Reproductive Origins of Adult Health and Disease (ROAHD), Lifestyle Medicine (LM), and Life Course Epidemiology (LCE)

Subjects
0301 basic medicine, AUTISM SPECTRUM DISORDERS, Bioinformatics, Epigenesis, Genetic, Pregnancy, HYDROCARBON RECEPTOR REPRESSOR, POSTSYNAPTIC DENSITY, Genetics(clinical), Child, NEUROPILIN-2 EXPRESSION, Genetics (clinical), Genetics, Smoking, Chromosome Mapping, Methylation, 3. Good health, Cleft Palate, CpG site, Meta-analysis, Child, Preschool, DNA methylation, Female, medicine.medical_specialty, Cleft Lip, European Continental Ancestry Group, IN-UTERO, Biology, Article, White People, 03 medical and health sciences, Genetic, LUNG-FUNCTION DECLINE, medicine, Journal Article, Humans, BREAST-CANCER, Epigenetics, Preschool, Genetic Association Studies, Asthma, PRENATAL EXPOSURE, Public health, Infant, Newborn, LYMPH-NODE METASTASIS, Infant, DNA Methylation, medicine.disease, Newborn, 030104 developmental biology, CIGARETTE-SMOKING, Epigenesis, Meta-Analysis
Abstract

Epigenetic modifications, including DNA methylation, represent a potential mechanism for environmental impacts on human disease. Maternal smoking in pregnancy remains an important public health problem that impacts child health in a myriad of ways and has potential lifelong consequences. The mechanisms are largely unknown, but epigenetics most likely plays a role. We formed the Pregnancy And Childhood Epigenetics (PACE) consortium and meta-analyzed, across 13 cohorts (n = 6,685), the association between maternal smoking in pregnancy and newborn blood DNA methylation at over 450,000 CpG sites (CpGs) by using the Illumina 450K BeadChip. Over 6,000 CpGs were differentially methylated in relation to maternal smoking at genome-wide statistical significance (false discovery rate, 5%), including 2,965 CpGs corresponding to 2,017 genes not previously related to smoking and methylation in either newborns or adults. Several genes are relevant to diseases that can be caused by maternal smoking (e.g., orofacial clefts and asthma) or adult smoking (e.g., certain cancers). A number of differentially methylated CpGs were associated with gene expression. We observed enrichment in pathways and processes critical to development. In older children (5 cohorts, n = 3,187), 100% of CpGs gave at least nominal levels of significance, far more than expected by chance (p value < 2.2 × 10−16). Results were robust to different normalization methods used across studies and cell type adjustment. In this large scale meta-analysis of methylation data, we identified numerous loci involved in response to maternal smoking in pregnancy with persistence into later childhood and provide insights into mechanisms underlying effects of this important exposure. The BAMSE cohort was supported by The Swedish Research Council, The Swedish Heart-Lung Foundation, Freemason Child House Foundation in Stockholm, MeDALL (Mechanisms of the Development of ALLergy), a collaborative project conducted within the European Union (grant agreement No. 261357), Centre for Allergy Research, Stockholm County Council (ALF), Swedish foundation for strategic research (SSF, RBc08-0027, EpiGene project), the Strategic Research Programme (SFO) in Epidemiology at Karolinska Institutet, The Swedish Research Council Formas and the Swedish Environment Protection Agency.

Published
2016
Full Text
View/download PDF

12. Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: findings from the pregnancy and childhood epigenetics (PACE) consortium

Author

Simon Kebede Merid, Sarah E. Reese, Cheng-Jian Xu, Siri E. Håberg, Rolv T. Lie, Denise Anderson, Rachel L. Maguire, Wenche Nystad, Paul Yousefi, Sheryl L. Rifas-Shiman, Judith M. Vonk, Allen J. Wilcox, Lucas A. Salas, Marie-France Hivert, Akram Ghantous, Rebecca C Richmond, Liesbeth Duijts, Phillip E. Melton, Jon Bohlin, John W. Holloway, Monica Cheng Munthe-Kaas, Jack A. Taylor, Kelly M. Bakulski, Golareh Agha, Caroline L Relton, Matthew Suderman, Bilal M. Quraishi, ClarLynda R. Williams-DeVane, Brenda Eskenazi, Mariona Bustamante, Hongmei Zhang, Lisa A. Croen, Nour Baïz, M. Daniele Fallin, Maria C. Magnus, Luigi Bouchard, Patrice Perron, S. Hasan Arshad, Faisal I. Rezwan, Andrea A. Baccarelli, John P. Newnham, Ritu Roy, Cathrine Hoyo, Craig J. Newschaffer, Zongli Xu, Ellen A. Nohr, George Davey Smith, Gemma C Sharp, Claire Monnereau, Lisa F. Barcellos, Stephanie J. London, Irva Hertz-Picciotto, Christian M. Page, Emily Oken, Harold Snieder, Erik Melén, Sandra Ekström, Karen Huen, Martine Vrijheid, Carlos Ruiz-Arenas, Margaret R. Karagas, Göran Pershagen, Todd M. Everson, Semira Gonseth, Henriette A. Smit, Carmen J. Marsit, Michele J. Josey, Zdenko Herceg, Leanne K. Küpers, Shanshan Zhao, Eva Corpeleijn, Wilfried Karmaus, Isabella Annesi-Maesano, Joseph L. Wiemels, Nina Holland, Fahimeh Falahi, Susan K. Murphy, Debbie A Lawlor, Vincent W. V. Jaddoe, Catherine Allard, Asa Bradman, Janine F. Felix, Rae-Chi Huang, Thorkild I. A. Sørensen, Gerard H. Koppelman, Groningen Research Institute for Asthma and COPD (GRIAC), Reproductive Origins of Adult Health and Disease (ROAHD), Lifestyle Medicine (LM), Life Course Epidemiology (LCE), Pediatrics, Erasmus MC other, and Epidemiology

Subjects
0301 basic medicine, Male, Epigenomics, Epidemiology, Embaràs, Physiology, Reproductive health and childbirth, Medical and Health Sciences, Epigenesis, Genetic, Body Mass Index, Cohort Studies, 0302 clinical medicine, Pregnancy, GENETIC-VARIANTS, Prenatal, Medicine, 2.1 Biological and endogenous factors, Genetics(clinical), CORD BLOOD, 030212 general & internal medicine, Aetiology, Genetics (clinical), 11 Medical and Health Sciences, Adiposity, GESTATIONAL WEIGHT-GAIN, Pediatric, Genetics & Heredity, 0303 health sciences, BIRTH COHORT, Pregnancy Outcome, General Medicine, Methylation, Biological Sciences, CHILDREN ALSPAC, Prenatal Exposure Delayed Effects, DNA methylation, Generation R, Epigenetics, Female, Maternal Inheritance, Adult, medicine.medical_specialty, Offspring, Mothers, Biology, Article, BMI, EARLY-LIFE, 03 medical and health sciences, Genetic, Internal medicine, Genetic variation, Journal Article, Genetics, Humans, Obesity, Molecular Biology, 030304 developmental biology, business.industry, Contraception/Reproduction, Negative control, NORWEGIAN MOTHER, Human Genome, Infant, Newborn, Infant, Epigenome, 06 Biological Sciences, DNA Methylation, Perinatal Period - Conditions Originating in Perinatal Period, Epigenètica, medicine.disease, Newborn, BODY-MASS INDEX, 030104 developmental biology, Endocrinology, COHORT PROFILE, GENERATION R, business, Body mass index, Causal inference, Epigenesis
Abstract

Pre-pregnancy maternal obesity is associated with adverse offspring outcomes at birth and later in life. Individual studies have shown that epigenetic modifications such as DNA methylation could contribute. Within the Pregnancy and Childhood Epigenetics (PACE) Consortium, we meta-analysed the association between pre-pregnancy maternal BMI and methylation at over 450,000 sites in newborn blood DNA, across 19 cohorts (9,340 mother-newborn pairs). We attempted to infer causality by comparing the effects of maternal versus paternal BMI and incorporating genetic variation. In four additional cohorts (1,817 mother-child pairs), we meta-analysed the association between maternal BMI at the start of pregnancy and blood methylation in adolescents. In newborns, maternal BMI was associated with small (

Published
2017
Full Text
View/download PDF

13. DNA Methylation Score as a Biomarker in Newborns for Sustained Maternal Smoking during Pregnancy

Author

Bonnie R. Joubert, Christine L. Parr, Shanshan Zhao, Michael C. Wu, Øivind Midttun, Siri E. Håberg, Roy Miodini Nilsen, Per Magne Ueland, Sarah E. Reese, Stephanie J. London, Stein Emil Vollset, Wenche Nystad, and Shyamal D. Peddada

Subjects
0301 basic medicine, Adult, medicine.medical_specialty, Pediatrics, Offspring, Health, Toxicology and Mutagenesis, Birth weight, Cohort Studies, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Pregnancy, medicine, Birth Weight, Humans, 030212 general & internal medicine, Adverse effect, Cotinine, business.industry, Obstetrics, Research, Smoking, Public Health, Environmental and Occupational Health, Infant, Newborn, DNA Methylation, medicine.disease, Fetal Blood, 3. Good health, 030104 developmental biology, chemistry, Maternal Exposure, Prenatal Exposure Delayed Effects, DNA methylation, Biomarker (medicine), Female, business, Biomarkers, Cohort study
Abstract

Background: Maternal smoking during pregnancy, especially when sustained, leads to numerous adverse health outcomes in offspring. Pregnant women disproportionately underreport smoking and smokers tend to have lower follow-up rates to repeat questionnaires. Missing, incomplete, or inaccurate data on presence and duration of smoking in pregnancy impairs identification of novel health effects and limits adjustment for smoking in studies of other pregnancy exposures. An objective biomarker in newborns of maternal smoking during pregnancy would be valuable. Objectives: We developed a biomarker of sustained maternal smoking in pregnancy using common DNA methylation platforms. Methods: Using a dimension reduction method, we developed and tested a numeric score in newborns to reflect sustained maternal smoking in pregnancy from data on cotinine, a short-term smoking biomarker measured mid-pregnancy, and Illumina450K cord blood DNA methylation from newborns in the Norwegian Mother and Child Cohort Study (MoBa). Results: This score reliably predicted smoking status in the training set (n = 1,057; accuracy = 96%, sensitivity = 80%, specificity = 98%). Sensitivity (58%) was predictably lower in the much smaller test set (n = 221), but accuracy (91%) and specificity (97%) remained high. Reduced birth weight, a well-known effect of maternal smoking, was as strongly related to the score as to cotinine. A three-site score had lower, but acceptable, performance (accuracytrain = 82%, accuracytest = 83%). Conclusions: Our smoking methylation score represents a promising novel biomarker of sustained maternal smoking during pregnancy easily calculated with Illumina450K or IlluminaEPIC data. It may help identify novel health impacts and improve adjustment for smoking when studying other risk factors with more subtle effects. Citation: Reese SE, Zhao S, Wu MC, Joubert BR, Parr CL, Håberg SE, Ueland PM, Nilsen RM, Midttun Ø, Vollset SE, Peddada SD, Nystad W, London SJ. 2017. DNA methylation score as a biomarker in newborns for sustained maternal smoking during pregnancy. Environ Health Perspect 125:760–766; http://dx.doi.org/10.1289/EHP333

Published
2016

14. Non-additive hepatic gene expression elicited by 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and 2,2′,4,4′,5,5′-hexachlorobiphenyl (PCB153) co-treatment in C57BL/6 mice

Author

Bonnie Sharratt, Colleen Tashiro, Bryan D. Mets, Lyle D. Burgoon, Timothy R. Zacharewski, Kellie J. Archer, Anna K. Kopec, Dave Potter, Michelle L. D’Souza, Sarah E. Reese, and Jack R. Harkema

Subjects
C57BL/6, medicine.medical_specialty, Necrosis, Polychlorinated Dibenzodioxins, Time Factors, Gene Expression, Thiophenes, Toxicology, Article, Mice, Internal medicine, Gene expression, medicine, Animals, heterocyclic compounds, Drug Interactions, Furans, Triglycerides, Oligonucleotide Array Sequence Analysis, Pharmacology, biology, Dose-Response Relationship, Drug, Hyperplasia, biology.organism_classification, medicine.disease, Polychlorinated Biphenyls, Mice, Inbred C57BL, Dose–response relationship, Endocrinology, Biochemistry, Vacuolization, Liver, Toxicity, Ovariectomized rat, Female, medicine.symptom
Abstract

Interactions between environmental contaminants can lead to non-additive effects that may affect the toxicity and risk assessment of a mixture. Comprehensive time course and dose-response studies with 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), non-dioxin-like 2,2′,4,4′,5,5′-hexachlorobiphenyl (PCB153) and their mixture were performed in immature, ovariectomized C57BL/6 mice. Mice were gavaged once with 30 μg/kg TCDD, 300 mg/kg PCB153, a mixture of 30 μg/kg TCDD with 300 mg/kg PCB153 (MIX) or sesame oil vehicle for 4,12, 24,72 or 168 h. In the 24 h dose-response study, animals were gavaged with TCDD (0.3,1, 3, 6, 10, 15, 30, 45 μg/kg), PCB153 (3,10, 30, 60, 100, 150, 300, 450 mg/kg), MIX (0.3+3, 1+10, 3+30, 6+60, 10+100, 15+150, 30+300, 45 μg/kg TCDD+450 mg/kg PCB153, respectively) or vehicle. All three treatments significantly increased relative liver weights (RLW), with MIX eliciting significantly greater increases compared to TCDD and PCB153 alone. Histologically, MIX induced hepatocellular hypertrophy, vacuolization, inflammation, hyperplasia and necrosis, a combination of TCDD and PCB153 responses. Complementary lipid analyses identified significant increases in hepatic triglycerides in MIX and TCDD samples, while PCB153 had no effect on lipids. Hepatic PCB153 levels were also significantly increased with TCDD co-treatment. Microarray analysis identified 167 TCDD, 185 PCB153 and 388 MIX unique differentially expressed genes. Statistical modeling of quantitative real-time PCR analysis of Pla2g12a, Serpinb6a, Nqo1, Srxn1, and Dysf verified non-additive expression following MIX treatment compared to TCDD and PCB153 alone. In summary, TCDD and PCB153 co-treatment elicited specific non-additive gene expression effects that are consistent with RLW increases, histopathology, and hepatic lipid accumulation.

Published
2011

15. Prediction of gestational age based on genome-wide differentially methylated regions

Author

Christian M. Page, Wenche Nystad, Maria C. Magnus, Per Magnus, Christine L. Parr, Håkon K. Gjessing, Siri E. Håberg, Jon Bohlin, Sarah E. Reese, and Stephanie J. London

Subjects
0301 basic medicine, medicine.medical_specialty, Gestational Age, Genome-wide association study, Biology, Bioinformatics, Genome, Epigenesis, Genetic, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Pregnancy, medicine, Humans, Ultrasonography, Genome, Human, Obstetrics, Research, Infant, Newborn, Gestational age, Child birth, DNA Methylation, medicine.disease, 3. Good health, 030104 developmental biology, Differentially methylated regions, 030220 oncology & carcinogenesis, DNA methylation, CpG Islands, Female, Genome-Wide Association Study, Cohort study
Abstract

Background We explored the association between gestational age and cord blood DNA methylation at birth and whether DNA methylation could be effective in predicting gestational age due to limitations with the presently used methods. We used data from the Norwegian Mother and Child Birth Cohort study (MoBa) with Illumina HumanMethylation450 data measured for 1753 newborns in two batches: MoBa 1, n = 1068; and MoBa 2, n = 685. Gestational age was computed using both ultrasound and the last menstrual period. We evaluated associations between DNA methylation and gestational age and developed a statistical model for predicting gestational age using MoBa 1 for training and MoBa 2 for predictions. The prediction model was additionally used to compare ultrasound and last menstrual period-based gestational age predictions. Furthermore, both CpGs and associated genes detected in the training models were compared to those detected in a published prediction model for chronological age. Results There were 5474 CpGs associated with ultrasound gestational age after adjustment for a set of covariates, including estimated cell type proportions, and Bonferroni-correction for multiple testing. Our model predicted ultrasound gestational age more accurately than it predicted last menstrual period gestational age. Conclusions DNA methylation at birth appears to be a good predictor of gestational age. Ultrasound gestational age is more strongly associated with methylation than last menstrual period gestational age. The CpGs linked with our gestational age prediction model, and their associated genes, differed substantially from the corresponding CpGs and genes associated with a chronological age prediction model. Electronic supplementary material The online version of this article (doi:10.1186/s13059-016-1063-4) contains supplementary material, which is available to authorized users.

Full Text
View/download PDF

16. Donor genetic and nongenetic factors affecting red blood cell transfusion effectiveness

Author

Nareg H. Roubinian, Sarah E. Reese, Hannah Qiao, Colleen Plimier, Fang Fang, Grier P. Page, Ritchard G. Cable, Brian Custer, Mark T. Gladwin, Ruchika Goel, Bob Harris, Jeanne E. Hendrickson, Tamir Kanias, Steve Kleinman, Alan E. Mast, Steven R. Sloan, Bryan R. Spencer, Steven L. Spitalnik, Michael P. Busch, Eldad A. Hod, and on behalf of the National Heart Lung and Blood Institute (NHLBI) Recipient Epidemiology and Donor Evaluation Study IV Pediatrics (REDS-IV-P)

Subjects
Hematology, Medicine
Abstract

BACKGROUND RBC transfusion effectiveness varies due to donor, component, and recipient factors. Prior studies identified characteristics associated with variation in hemoglobin increments following transfusion. We extended these observations, examining donor genetic and nongenetic factors affecting transfusion effectiveness.METHODS This is a multicenter retrospective study of 46,705 patients and 102,043 evaluable RBC transfusions from 2013 to 2016 across 12 hospitals. Transfusion effectiveness was defined as hemoglobin, bilirubin, or creatinine increments following single RBC unit transfusion. Models incorporated a subset of donors with data on single nucleotide polymorphisms associated with osmotic and oxidative hemolysis in vitro. Mixed modeling accounting for repeated transfusion episodes identified predictors of transfusion effectiveness.RESULTS Blood donor (sex, Rh status, fingerstick hemoglobin, smoking), component (storage duration, γ irradiation, leukoreduction, apheresis collection, storage solution), and recipient (sex, BMI, race and ethnicity, age) characteristics were associated with hemoglobin and bilirubin, but not creatinine, increments following RBC transfusions. Increased storage duration was associated with increased bilirubin and decreased hemoglobin increments, suggestive of in vivo hemolysis following transfusion. Donor G6PD deficiency and polymorphisms in SEC14L4, HBA2, and MYO9B genes were associated with decreased hemoglobin increments. Donor G6PD deficiency and polymorphisms in SEC14L4 were associated with increased transfusion requirements in the subsequent 48 hours.CONCLUSION Donor genetic and other factors, such as RBC storage duration, affect transfusion effectiveness as defined by decreased hemoglobin or increased bilirubin increments. Addressing these factors will provide a precision medicine approach to improve patient outcomes, particularly for chronically transfused RBC recipients, who would most benefit from more effective transfusion products.FUNDING Funding was provided by HHSN 75N92019D00032, HHSN 75N92019D00034, 75N92019D00035, HHSN 75N92019D00036, and HHSN 75N92019D00037; R01HL126130; and the National Institute of Child Health and Human Development (NICHD).

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results