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Beaumont RN, Flatley C, Vaudel M, Wu X, Chen J, Moen GH, Skotte L, Helgeland Ø, Solé-Navais P, Banasik K, Albiñana C, Ronkainen J, Fadista J, Stinson SE, Trajanoska K, Wang CA, Westergaard D, Srinivasan S, Sánchez-Soriano C, Bilbao JR, Allard C, Groleau M, Kuulasmaa T, Leirer DJ, White F, Jacques PÉ, Cheng H, Hao K, Andreassen OA, Åsvold BO, Atalay M, Bhatta L, Bouchard L, Brumpton BM, Brunak S, Bybjerg-Grauholm J, Ebbing C, Elliott P, Engelbrechtsen L, Erikstrup C, Estarlich M, Franks S, Gaillard R, Geller F, Grove J, Hougaard DM, Kajantie E, Morgen CS, Nohr EA, Nyegaard M, Palmer CNA, Pedersen OB, Rivadeneira F, Sebert S, Shields BM, Stoltenberg C, Surakka I, Thørner LW, Ullum H, Vaarasmaki M, Vilhjalmsson BJ, Willer CJ, Lakka TA, Gybel-Brask D, Bustamante M, Hansen T, Pearson ER, Reynolds RM, Ostrowski SR, Pennell CE, Jaddoe VWV, Felix JF, Hattersley AT, Melbye M, Lawlor DA, Hveem K, Werge T, Nielsen HS, Magnus P, Evans DM, Jacobsson B, Järvelin MR, Zhang G, Hivert MF, Johansson S, Freathy RM, Feenstra B, Njølstad PR. Genome-wide association study of placental weight identifies distinct and shared genetic influences between placental and fetal growth. Nat Genet 2023; 55:1807-1819. [PMID: 37798380 PMCID: PMC10632150 DOI: 10.1038/s41588-023-01520-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 08/31/2023] [Indexed: 10/07/2023]
Abstract
A well-functioning placenta is essential for fetal and maternal health throughout pregnancy. Using placental weight as a proxy for placental growth, we report genome-wide association analyses in the fetal (n = 65,405), maternal (n = 61,228) and paternal (n = 52,392) genomes, yielding 40 independent association signals. Twenty-six signals are classified as fetal, four maternal and three fetal and maternal. A maternal parent-of-origin effect is seen near KCNQ1. Genetic correlation and colocalization analyses reveal overlap with birth weight genetics, but 12 loci are classified as predominantly or only affecting placental weight, with connections to placental development and morphology, and transport of antibodies and amino acids. Mendelian randomization analyses indicate that fetal genetically mediated higher placental weight is causally associated with preeclampsia risk and shorter gestational duration. Moreover, these analyses support the role of fetal insulin in regulating placental weight, providing a key link between fetal and placental growth.
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Affiliation(s)
- Robin N Beaumont
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Christopher Flatley
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Genetics and Bioinformatics, Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway
| | - Marc Vaudel
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Xiaoping Wu
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Jing Chen
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Gunn-Helen Moen
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Line Skotte
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Øyvind Helgeland
- Department of Genetics and Bioinformatics, Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Pol Solé-Navais
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Karina Banasik
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | - Clara Albiñana
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
| | | | - João Fadista
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
- Department of Clinical Sciences, Lund University Diabetes Centre, Malmö, Sweden
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Sara Elizabeth Stinson
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Katerina Trajanoska
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Human Genetics, McGill University, Montréal, Québec, Canada
| | - Carol A Wang
- School of Medicine and Public Health, College of Medicine, Public Health and Wellbeing, The University of Newcastle, Newcastle, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, Newcastle, New South Wales, Australia
| | - David Westergaard
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
- Department of Obstetrics and Gynecology, Copenhagen University Hospital, Hvidovre, Denmark
- Methods and Analysis, Statistics Denmark, Copenhagen, Denmark
| | - Sundararajan Srinivasan
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK
| | | | - Jose Ramon Bilbao
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain
- Biobizkaia Health Research Institute, Barakaldo, Spain
- Spanish Biomedical Research Center in Diabetes and Associated Metabolic Disorders (CIBERDEM), Barcelona, Spain
| | - Catherine Allard
- Centre de recherche du Centre Hospitalier de l'Universite de Sherbrooke, Sherbrooke, Québec, Canada
| | - Marika Groleau
- Département de Biologie, Faculté des Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Teemu Kuulasmaa
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Kuopio, Finland
| | - Daniel J Leirer
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Frédérique White
- Département de Biologie, Faculté des Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Pierre-Étienne Jacques
- Centre de recherche du Centre Hospitalier de l'Universite de Sherbrooke, Sherbrooke, Québec, Canada
- Département de Biologie, Faculté des Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Haoxiang Cheng
- Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Ke Hao
- Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Bjørn Olav Åsvold
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger, Norway
- Department of Endocrinology, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Mustafa Atalay
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Kuopio, Finland
| | - Laxmi Bhatta
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Luigi Bouchard
- Department of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada
- Clinical Department of Laboratory Medicine, Centre intégré universitaire de santé et de services sociaux (CIUSSS) du Saguenay-Lac-St-Jean-Hôpital Universitaire de Chicoutimi, Saguenay, Québec, Canada
| | - Ben Michael Brumpton
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger, Norway
- Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | - Jonas Bybjerg-Grauholm
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | - Cathrine Ebbing
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Line Engelbrechtsen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Obstetrics and Gynecology, Herlev Hospital, Herlev, Denmark
| | - Christian Erikstrup
- Department Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
- Department Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Marisa Estarlich
- Faculty of Nursing and Chiropody, Universitat de València, C/Menendez Pelayo, Valencia, Spain
- Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Stephen Franks
- Institute of Reproductive and Developmental Biology, Imperial College London, London, UK
| | - Romy Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Frank Geller
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Jakob Grove
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Department of Biomedicine-Human Genetics and the iSEQ Center, Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - David M Hougaard
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | - Eero Kajantie
- Research Unit of Clinical Medicine, Medical Research Center, University of Oulu, Oulu, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki and Oulu, Oulu, Finland
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Camilla S Morgen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Ellen A Nohr
- Institute of Clinical research, University of Southern Denmark, Odense, Denmark
| | - Mette Nyegaard
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Colin N A Palmer
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Ole Birger Pedersen
- Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Sylvain Sebert
- Research Unit of Population Health, University of Oulu, Oulu, Finland
| | - Beverley M Shields
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Camilla Stoltenberg
- Norwegian Institute of Public Health, Oslo, Norway
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Ida Surakka
- Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, MI, USA
| | - Lise Wegner Thørner
- Department of Clinical Immunology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | | | - Marja Vaarasmaki
- Research Unit of Clinical Medicine, Medical Research Center, University of Oulu, Oulu, Finland
- Department of Obstetrics and Gynaecology, Oulu University Hospital, Oulu, Finland
| | - Bjarni J Vilhjalmsson
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Cristen J Willer
- Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, MI, USA
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Timo A Lakka
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Dorte Gybel-Brask
- Psychotherapeutic Outpatient Clinic, Mental Health Services, Capital Region, Copenhagen, Denmark
| | - Mariona Bustamante
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ewan R Pearson
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Rebecca M Reynolds
- Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK
| | - Sisse R Ostrowski
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Immunology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Craig E Pennell
- School of Medicine and Public Health, College of Medicine, Public Health and Wellbeing, The University of Newcastle, Newcastle, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, Newcastle, New South Wales, Australia
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Andrew T Hattersley
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Mads Melbye
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Danish Cancer Institute, Copenhagen, Denmark
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Deborah A Lawlor
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger, Norway
| | - Thomas Werge
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, Copenhagen, Denmark
- Lundbeck Center for Geogenetics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Henriette Svarre Nielsen
- Department of Obstetrics and Gynecology, Copenhagen University Hospital, Hvidovre, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - David M Evans
- Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Bo Jacobsson
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Genetics and Bioinformatics, Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway
| | - Marjo-Riitta Järvelin
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland
| | - Ge Zhang
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Stefan Johansson
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway.
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway.
| | - Rachel M Freathy
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
- Department of Clinical Immunology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
| | - Pål R Njølstad
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway.
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway.
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Maronezi MC, Simões APR, Uscategui RA, Pavan L, Rodrigues MG, Mariano RS, Santos VJ, Feliciano MA. Gestational echobiometry in brachycephalic bitches using high-definition ultrasonography. PESQUISA VETERINÁRIA BRASILEIRA 2021. [DOI: 10.1590/1678-5150-pvb-6650] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
ABSTRACT: The objective of the present study was to obtain echobiometric values for the most important canine maternal-fetal tissues using high-definition ultrasonography (HDUS) trying to update the formulas for predicting gestational age. Twelve healthy bitches of brachycephalic breeds weighing 7-13kg and aged one to four years were included. The fetuses were analyzed every day using conventional and high-definition ultrasonography from the eighth day after artificial insemination until the day of delivery, using the ACUSON S2000/SIEMENS ultrasound equipment and specific software. Embryonic and fetal structures; diameter of the embryonic vesicle; length of the embryo; biparietal diameter, abdominal length and kidney height; length of the femur, humerus, scapula, radius, and tibia; thickening of the stomach wall; adrenal length; and cardiac size were measured. These variables were correlated with gestational and adjusted tested according to regression models. The results obtained (P<0.001) for: lateral diameter of the gestational sac (R2=81.8%); length of the embryo (R2=85.7%); biparietal (R2=99.1%) and abdominal diameter (R2=97.2%); thickness of the gastric wall (R2=86.9%); length of the femur (R2=96.6%), radius (R2=97.5%), humerus (R2=96.5%), scapula (R2=95.8%) and tibia (R2=97.3%); kidney length (R2=95.8%) and height (R2=96.0%); adrenal length (R2=89.6%); heart length (R2=93.0%) and height (R2=91.5%) of the canine fetuses showed significant correlation with gestational days. This allowed monitoring fetal growth and estimation of age with high accuracy in different gestational periods.
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Erkamp JS, Voerman E, Steegers EAP, Mulders AGMGJ, Reiss IKM, Duijts L, Jaddoe VWV, Gaillard R. Second and third trimester fetal ultrasound population screening for risks of preterm birth and small-size and large-size for gestational age at birth: a population-based prospective cohort study. BMC Med 2020; 18:63. [PMID: 32252740 PMCID: PMC7137302 DOI: 10.1186/s12916-020-01540-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 02/20/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Preterm birth, small size for gestational age (SGA) and large size for gestational age (LGA) at birth are major risk factors for neonatal and long-term morbidity and mortality. It is unclear which periods of pregnancy are optimal for ultrasound screening to identify fetuses at risk of preterm birth, SGA or LGA at birth. We aimed to examine whether single or combined second and third trimester ultrasound in addition to maternal characteristics at the start of pregnancy are optimal to detect fetuses at risk for preterm birth, SGA and LGA. METHODS In a prospective population-based cohort among 7677 pregnant women, we measured second and third trimester estimated fetal weight (EFW), and uterine artery pulsatility and umbilical artery resistance indices as placenta flow measures. Screen positive was considered as EFW or placenta flow measure < 10th or > 90th percentile. Information about maternal age, body mass index, ethnicity, parity, smoking, fetal sex and birth outcomes was available from questionnaires and medical records. Screening performance was assessed via receiver operating characteristic (ROC) curves and area under the curve (AUC) along with sensitivity at different false-positive rates. RESULTS Maternal characteristics only and in combination with second trimester EFW had a moderate performance for screening for each adverse birth outcome. Screening performance improved by adding third trimester EFW to the maternal characteristics (AUCs for preterm birth 0.64 (95%CI 0.61 to 0.67); SGA 0.79 (95%CI 0.78 to 0.81); LGA 0.76 (95%CI 0.75; 0.78)). Adding third trimester placenta measures to this model improved only screening for risk of preterm birth (AUC 0.72 (95%CI 0.66 to 0.77) with sensitivity 37% at specificity 90%) and SGA (AUC 0.83 (95%CI 0.81 to 0.86) with sensitivity 55% at specificity 90%). Combining second and third trimester fetal and placental ultrasound did not lead to a better performance as compared to using only third trimester results. CONCLUSIONS Combining single third trimester fetal and placental ultrasound results with maternal characteristics has the best screening performance for risks of preterm birth, SGA and LGA. As compared to second trimester screening, third trimester screening may double the detection of fetuses at risk of common adverse birth outcomes.
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Affiliation(s)
- Jan S Erkamp
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000, CA, Rotterdam, the Netherlands.,Department of Paediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ellis Voerman
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000, CA, Rotterdam, the Netherlands.,Department of Paediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Eric A P Steegers
- Department of Obstetrics and Gynaecology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Annemarie G M G J Mulders
- Department of Obstetrics and Gynaecology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Irwin K M Reiss
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000, CA, Rotterdam, the Netherlands.,Department of Paediatrics, Division of Neonatology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Liesbeth Duijts
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000, CA, Rotterdam, the Netherlands.,Department of Paediatrics, Division of Neonatology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Paediatrics, Division of Respiratory Medicine and Allergology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000, CA, Rotterdam, the Netherlands.,Department of Paediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Romy Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000, CA, Rotterdam, the Netherlands. .,Department of Paediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
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4
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Rodrigues Simões AP, Cristina Maronezi M, Andres Ramirez Uscategui R, Garcia Kako Rodrigues M, Sitta Gomes Mariano R, Tavares de Almeida V, José Correia Santos V, Del Aguila da Silva P, Ricardo Russiano Vicente W, Antonio Rossi Feliciano M. Placental ARFI elastography and biometry evaluation in bitches. Anim Reprod Sci 2020; 214:106289. [PMID: 32087915 DOI: 10.1016/j.anireprosci.2020.106289] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 12/22/2019] [Accepted: 01/19/2020] [Indexed: 02/05/2023]
Abstract
Placental rigidity and biometry of twelve pregnant bitches were evaluated using B-mode and Acoustic Radiation Force Impulse (ARFI) ultrasonography, performed once daily, from day 15 of gestation until parturition. Specific software (Virtual Touch Tissue Quantification® VTTQ and Virtual Touch Tissue Imaging Quantification® VTTIQ) were used. Values for results for variables were correlated and regression models related to gestational day were used to make evaluations. Maternal-fetal placental thickness increased to day 63 (P < 0.0001; R² = 0.91); maternal placental thickness increased until day 40 (P = 0.0340; R² = 0.54); and fetal placental thickness increased to day 50 (P < 0.0001; R² = 0.83) of gestation. Shear wave velocity (SWV) of the dorsal (P < 0.0010) was greater than lateral, which in turn was greater (P = 0.020) than the ventral area. The SWV of the dorsal area as determined using VTTQ, decreased from day 21-35 and increased to day 56 of gestation (P = 0.0291; R² = 0.4021); lateral SWV decreased from day 24-45 and increased until the time of parturition (P < 0.001; R² = 0.6055). The SWV of the dorsal area, as determined using VTTIQ, decreased from day 21-43 and then increased to day 60 of gestation (P = 0.0016; R² = 0.5075); and ventral area SWV increased from day 21-23 and decreased until the time of parturition (P < 0.001; R² = 0.8055). Placental alterations reflect structural and biochemical gestational adaptations and can become useful techniques for obstetrics.
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Affiliation(s)
- Ana Paula Rodrigues Simões
- Department of Animal Reproduction, Faculty of Agricultural and Veterinary Sciences, Univ. Estadual Paulista "Júlio de Mesquita Filho", Jaboticabal, São Paulo, Brazil.
| | - Marjury Cristina Maronezi
- Department of Veterinary Surgery, Faculty of Agricultural and Veterinary Sciences, Univ. Estadual Paulista "Júlio de Mesquita Filho", Jaboticabal, São Paulo, Brazil
| | | | - Mariana Garcia Kako Rodrigues
- Department of Animal Reproduction, Faculty of Agricultural and Veterinary Sciences, Univ. Estadual Paulista "Júlio de Mesquita Filho", Jaboticabal, São Paulo, Brazil
| | - Renata Sitta Gomes Mariano
- Department of Animal Reproduction, Faculty of Agricultural and Veterinary Sciences, Univ. Estadual Paulista "Júlio de Mesquita Filho", Jaboticabal, São Paulo, Brazil
| | - Vivian Tavares de Almeida
- Department of Animal Reproduction, Faculty of Agricultural and Veterinary Sciences, Univ. Estadual Paulista "Júlio de Mesquita Filho", Jaboticabal, São Paulo, Brazil
| | - Victor José Correia Santos
- Department of Animal Reproduction, Faculty of Agricultural and Veterinary Sciences, Univ. Estadual Paulista "Júlio de Mesquita Filho", Jaboticabal, São Paulo, Brazil
| | - Priscila Del Aguila da Silva
- Department of Animal Reproduction, Faculty of Agricultural and Veterinary Sciences, Univ. Estadual Paulista "Júlio de Mesquita Filho", Jaboticabal, São Paulo, Brazil
| | - Wilter Ricardo Russiano Vicente
- Department of Animal Reproduction, Faculty of Agricultural and Veterinary Sciences, Univ. Estadual Paulista "Júlio de Mesquita Filho", Jaboticabal, São Paulo, Brazil
| | - Marcus Antonio Rossi Feliciano
- Department of Animal Reproduction, Faculty of Agricultural and Veterinary Sciences, Univ. Estadual Paulista "Júlio de Mesquita Filho", Jaboticabal, São Paulo, Brazil; Department of Large Animals Clinic and Surgery. Federal University of Santa Maria (UFSM), Santa Maria, Rio Grande do Sul, Brazil
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Marić I, Winn VD, Borisenko E, Weber KA, Wong RJ, Aziz N, Blumenfeld YJ, El-Sayed YY, Stevenson DK, Shaw GM. Data-driven queries between medications and spontaneous preterm birth among 2.5 million pregnancies. Birth Defects Res 2019; 111:1145-1153. [PMID: 31433567 PMCID: PMC11199711 DOI: 10.1002/bdr2.1580] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 07/31/2019] [Accepted: 08/05/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Our goal was to develop an approach that can systematically identify potential associations between medication prescribed in pregnancy and spontaneous preterm birth (sPTB) by mining large administrative "claims" databases containing hundreds of medications. One such association that we illustrate emerged with antiviral medications used for herpes treatment. METHODS IBM MarketScan® databases (2007-2016) were used. A pregnancy cohort was established using International Classification of Diseases (ICD-9/10) codes. Multiple hypothesis testing and the Benjamini-Hochberg procedure that limited false discovery rate at 5% revealed, among 863 medications, five that showed odds ratios (ORs) <1. The statistically strongest was an association between antivirals and sPTB that we illustrate as a real example of our approach, specifically for treatment of genital herpes (GH). Three groups of women were identified based on diagnosis of GH and treatment during the first 36 weeks of pregnancy: (a) GH without treatment; (b) GH treated with antivirals; (c) no GH or treatment. RESULTS We identified 2,538,255 deliveries. 0.98% women had a diagnosis of GH. Among them, 60.0% received antiviral treatment. Women with treated GH had OR < 1, (OR [95% CI] = 0.91 [0.85, 0.98]). In contrast, women with untreated GH had a small increased risk of sPTB (OR [95% CI] =1.22 [1.14, 1.32]). CONCLUSIONS Data-driven approaches can effectively generate new hypotheses on associations between medications and sPTB. This analysis led us to examine the association with GH treatment. While unknown confounders may impact these findings, our results indicate that women with untreated GH have a modest increased risk of sPTB.
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Affiliation(s)
- Ivana Marić
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Virginia D. Winn
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Kari A. Weber
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Ronald J. Wong
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Natali Aziz
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA
| | - Yair J. Blumenfeld
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA
| | - Yasser Y. El-Sayed
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA
| | - David K. Stevenson
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Gary M. Shaw
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
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6
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Kessler J, Johnsen SL, Ebbing C, Karlsen HO, Rasmussen S, Kiserud T. Estimated date of delivery based on second trimester fetal head circumference: A population-based validation of 21 451 deliveries. Acta Obstet Gynecol Scand 2018; 98:101-105. [PMID: 30168856 DOI: 10.1111/aogs.13454] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2018] [Revised: 07/26/2018] [Accepted: 08/20/2018] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Fetal biometry is used for determining gestational age and estimated date of delivery (EDD). However, the accuracy of the EDD depends on the assumed length of pregnancy included in the calculation. This study aimed at assessing the actual pregnancy length and accuracy of EDD prediction based on fetal head circumference measured at the second trimester. MATERIAL AND METHODS This was a population-based observational study with the following inclusion criteria: singleton pregnancy, head circumference dating in the second trimester, spontaneous onset or induction of delivery ≥ 294 days of gestation, live birth. The EDD was set anticipating a pregnancy length of 282 days. Bias in the prediction of EDD was defined as the difference between the actual date of birth and the EDD. RESULTS Head circumference measurements were available for 21 451 pregnancies. Ultrasound-dated pregnancies had a median pregnancy length of 283.03 days, corresponding to a method bias of 1.03 days (95% CI; 0.89-1.16). This bias was dependent on the head circumference at dating, ranging from -1.58 days (95% CI; -3.54 to 1.12) to 3.42 days (95% CI; 1.98-4.31). The median pregnancy length, based on the last menstrual period of women with a regular menstrual cycle (n = 12 985), was 283.15 days (95% CI; 282.91-283.31). A total of 5685 (22.9%, 95% CI; 22.4% to 23.4%) and 886 women (3.6%, 95% CI; 3.3%-3.8%) were still pregnant 7 and 14 days after the EDD, respectively. CONCLUSIONS Second trimester head circumference measurements can be safely used to predict EDD. A revision of the pregnancy length to 283 days will reduce the bias of EDD prediction to a level comparable with other methods.
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Affiliation(s)
- Jörg Kessler
- Department of Clinical Science, University of Bergen, Bergen, Norway.,Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Synnøve Lian Johnsen
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Cathrine Ebbing
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | | | - Svein Rasmussen
- Department of Clinical Science, University of Bergen, Bergen, Norway.,Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Torvid Kiserud
- Department of Clinical Science, University of Bergen, Bergen, Norway
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7
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Grootendorst-van Mil NH, Tiemeier H, Steenweg-de Graaff J, Koletzko B, Demmelmair H, Jaddoe VWV, Steegers EAP, Steegers-Theunissen RPM. Maternal plasma n-3 and n-6 polyunsaturated fatty acids during pregnancy and features of fetal health: Fetal growth velocity, birth weight and duration of pregnancy. Clin Nutr 2017; 37:1367-1374. [PMID: 28651830 DOI: 10.1016/j.clnu.2017.06.010] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Revised: 05/12/2017] [Accepted: 06/05/2017] [Indexed: 12/11/2022]
Abstract
BACKGROUND & AIMS Maternal fatty acids are essential for fetal growth and development. Here, we examine associations between maternal mid-pregnancy plasma n-3 and n-6 polyunsaturated fatty acids (PUFAs) and fetal health determined by fetal growth velocity, birth weight and duration of pregnancy. METHODS Participants were 6974 pregnant women and their infants from a population-based birth cohort, the Generation R Study. Maternal plasma n-3:n-6 PUFA ratio and n-3 and n-6 PUFA percentage in glycerophospholipids in mid-pregnancy were related to fetal growth velocity calculated from repeatedly measured weight, length and head circumference, birth weight, and duration of pregnancy. RESULTS A higher maternal mid-pregnancy n-3:n-6 PUFA ratio was associated with a higher growth velocity of the fetal weight (β = 0.082 SD-score/week, 95% CI 0.055; 0.108, P < 0.001), length (β = 0.085 SD-score/week, 95% CI 0.052; 0.119, P < 0.001); and head (β = 0.055 SD-score/week, 95% CI 0.019; 0.091, P = 0.003). We also observed positive associations between n-3:n-6 PUFA ratio and birth weight (β = 0.76 SD-score, 95% CI 0.22; 1.29, P = 0.006), and duration of pregnancy (β = 1.32 weeks, 95% CI 0.24; 2.40, P = 0.02). CONCLUSIONS These results are consistent with the hypothesis that a higher n-3:n-6 PUFA ratio is important for fetal health.
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Affiliation(s)
- Nina H Grootendorst-van Mil
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 50, 3015 GE Rotterdam, The Netherlands; Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 50, 3015 GE Rotterdam, The Netherlands; Department of Obstetrics and Gynaecology, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 50, 3015 GE Rotterdam, The Netherlands; Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 50, 3015 GE Rotterdam, The Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 50, 3015 GE Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 50, 3015 GE Rotterdam, The Netherlands; Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 50, 3015 GE Rotterdam, The Netherlands
| | - Jolien Steenweg-de Graaff
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 50, 3015 GE Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 50, 3015 GE Rotterdam, The Netherlands
| | - Berthold Koletzko
- Div. Metabolic and Nutritional Medicine, Dr. Von Hauner Children's Hospital, Ludwig-Maximilians-University, Munich, Germany
| | - Hans Demmelmair
- Div. Metabolic and Nutritional Medicine, Dr. Von Hauner Children's Hospital, Ludwig-Maximilians-University, Munich, Germany
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 50, 3015 GE Rotterdam, The Netherlands; Department of Paediatrics, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 50, 3015 GE Rotterdam, The Netherlands
| | - Eric A P Steegers
- Department of Obstetrics and Gynaecology, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 50, 3015 GE Rotterdam, The Netherlands
| | - Régine P M Steegers-Theunissen
- Department of Obstetrics and Gynaecology, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 50, 3015 GE Rotterdam, The Netherlands.
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DeVore GR. Computing the Z Score and Centiles for Cross-sectional Analysis: A Practical Approach. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2017; 36:459-473. [PMID: 28093799 DOI: 10.7863/ultra.16.03025] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2016] [Accepted: 05/30/2016] [Indexed: 06/06/2023]
Abstract
Although Z scores have been reported in the literature, one of the problems for the nonstatistician is understanding the systematic approach used to compute the predicted mean and standard deviation, components of the Z score equation, which may vary as the independent variable changes over time (eg, gestational age). This review focuses on a step-by-step analysis using linear, quadratic, and fractional polynomials to compute the mean and standard deviation as a function of a continuous independent variable. Once the mean and standard deviation are computed, the Z score and centile can be derived and Z score calculators created that enable investigators to implement the results in the laboratory and/or clinical setting.
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Affiliation(s)
- Greggory R DeVore
- Department of Obstetrics and Gynecology, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
- Fetal Diagnostic Centers, Pasadena, Tarzana, and Lancaster, California, USA
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Partap U, Sovio U, Smith GCS. Fetal Growth and the Risk of Spontaneous Preterm Birth in a Prospective Cohort Study of Nulliparous Women. Am J Epidemiol 2016; 184:110-9. [PMID: 27370790 DOI: 10.1093/aje/kwv345] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2015] [Accepted: 12/08/2015] [Indexed: 11/12/2022] Open
Abstract
Previous studies have suggested an association between fetal growth restriction and the risk of spontaneous preterm birth (sPTB). However, addressing this association is methodologically challenging. We conducted a prospective cohort study of nulliparous women with a singleton pregnancy in Cambridge, United Kingdom (2008-2012). Ultrasonic fetal biometry was performed at 20 weeks of gestation as per routine clinical care. Participants also had blinded research ultrasonography performed at approximately 28 weeks. Biometric measurements were expressed as gestational-age-adjusted z scores. Fetal growth velocity was quantified by change in z score between 20 weeks and 28 weeks. Risk of sPTB, defined as delivery at ≥28 weeks and <37 weeks associated with labor in the absence of induction, was analyzed using cause-specific Cox regression. Of 3,892 women, 98 (2.5%) had sPTB. When compared with the other decile groups, the lowest decile of growth velocity of the fetal femur between 20 and 28 weeks was associated with increased risk of sPTB (hazard ratio = 2.37, 95% confidence interval: 1.43, 3.93; P < 0.001). Adjustment for maternal characteristics had no material effect (hazard ratio = 2.50, 95% confidence interval: 1.50, 4.14; P < 0.001). There were no significant associations between other fetal measurements and risk of sPTB. To conclude, slow growth velocity of the fetal femur is associated with an increased risk of sPTB.
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Hanson MA, Gluckman PD. Early developmental conditioning of later health and disease: physiology or pathophysiology? Physiol Rev 2014; 94:1027-76. [PMID: 25287859 PMCID: PMC4187033 DOI: 10.1152/physrev.00029.2013] [Citation(s) in RCA: 722] [Impact Index Per Article: 72.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Extensive experimental animal studies and epidemiological observations have shown that environmental influences during early development affect the risk of later pathophysiological processes associated with chronic, especially noncommunicable, disease (NCD). This field is recognized as the developmental origins of health and disease (DOHaD). We discuss the extent to which DOHaD represents the result of the physiological processes of developmental plasticity, which may have potential adverse consequences in terms of NCD risk later, or whether it is the manifestation of pathophysiological processes acting in early life but only becoming apparent as disease later. We argue that the evidence suggests the former, through the operation of conditioning processes induced across the normal range of developmental environments, and we summarize current knowledge of the physiological processes involved. The adaptive pathway to later risk accords with current concepts in evolutionary developmental biology, especially those concerning parental effects. Outside the normal range, effects on development can result in nonadaptive processes, and we review their underlying mechanisms and consequences. New concepts concerning the underlying epigenetic and other mechanisms involved in both disruptive and nondisruptive pathways to disease are reviewed, including the evidence for transgenerational passage of risk from both maternal and paternal lines. These concepts have wider implications for understanding the causes and possible prevention of NCDs such as type 2 diabetes and cardiovascular disease, for broader social policy and for the increasing attention paid in public health to the lifecourse approach to NCD prevention.
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Affiliation(s)
- M A Hanson
- Academic Unit of Human Development and Health, University of Southampton, and NIHR Nutrition Biomedical Research Centre, University Hospital, Southampton, United Kingdom; and Liggins Institute and Gravida (National Centre for Growth and Development), University of Auckland, Auckland, New Zealand
| | - P D Gluckman
- Academic Unit of Human Development and Health, University of Southampton, and NIHR Nutrition Biomedical Research Centre, University Hospital, Southampton, United Kingdom; and Liggins Institute and Gravida (National Centre for Growth and Development), University of Auckland, Auckland, New Zealand
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11
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Eidem I, Vangen S, Henriksen T, Vollset SE, Hanssen KF, Joner G, Stene LC. Discrepancy in term calculation from second trimester ultrasound scan versus last menstrual period in women with type 1 diabetes. Acta Obstet Gynecol Scand 2014; 93:809-16. [PMID: 24807126 DOI: 10.1111/aogs.12422] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2013] [Accepted: 05/05/2014] [Indexed: 01/18/2023]
Abstract
OBJECTIVE To study differences in ultrasound-based compared to menstrual-based term estimation in women with type 1 diabetes. DESIGN Nationwide register study. SETTING Norway. POPULATION Deliveries in Norway 1999-2004 by women registered in the Norwegian Childhood Diabetes Registry (n = 342) and the background population (n = 307 248), with data on both ultrasound-based and menstrual-based gestational age notified in the Birth Registry of Norway. Births with major malformations were excluded. METHODS Linkage of two nationwide registries, the Medical Birth Registry of Norway and the Norwegian Childhood Diabetes Registry. MAIN OUTCOME MEASURES Estimated gestational age at delivery based on routine second trimester ultrasound measurements and last menstrual period. RESULTS In women with type 1 diabetes, the distribution of gestational age at delivery was shifted considerably towards a lower gestational age when using second trimester ultrasound data for estimation, compared with last menstrual period data. The difference between the two estimation methods was larger among women with type 1 diabetes, although also evident in the general population. One in four women with diabetes and a certain last menstrual period date had their ultrasound-calculated term postponed 1 week or more, while one in 10 had it postponed 2 weeks or more. Corresponding numbers in the background population were one in five and one in 20. CONCLUSIONS We found a systematic postponement of ultrasound-based compared with menstrual-based term estimation in women with type 1 diabetes. Relying solely on routine ultrasound-based term calculation for delivery decision may imply a risk of going beyond an optimal pregnancy length.
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Affiliation(s)
- Ingvild Eidem
- Department of Pediatric Medicine, Oslo University Hospital, Oslo, Norway; Division of Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
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12
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Gaillard R, Steegers EA, de Jongste JC, Hofman A, Jaddoe VW. Tracking of fetal growth characteristics during different trimesters and the risks of adverse birth outcomes. Int J Epidemiol 2014; 43:1140-53. [PMID: 24603318 DOI: 10.1093/ije/dyu036] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Fetal growth characteristics are used to identify influences of several maternal characteristics and to identify individuals at increased risk of adverse outcomes. The extent to which fetal growth characteristics track in different trimesters is not known. METHODS In a population-based prospective cohort study among 8636 pregnant women, we examined the extent to which fetal growth characteristics track, are influenced by maternal socio-demographic and lifestyle related determinants and are associated with birth outcomes. Fetal growth was assessed in each trimester and at birth. RESULTS Correlation coefficient between first-trimester crown-rump length and birthweight was r = 0.12 (P-value < 0.05). Correlation coefficients for fetal-head circumference, (femur) length and (estimated) fetal weight ranged from r = 0.16 to r = 0.30 (all P-values < 0.05) between second trimester and birth and from r = 0.36 to r = 0.58 (all P-values < 0.05) between third trimester and birth, and were highest for (estimated) fetal weight. Correlation coefficients for (estimated) fetal weight tended to be lower among overweight mothers, as compared with normal weight mothers, but were not influenced by other maternal characteristics. First, second and third-trimester fetal growth characteristics were associated with risks of preterm birth and small size for gestational age at birth,with the strongest associations present in third trimester. CONCLUSION Fetal growth characteristics track moderately throughout gestation, with stronger tracking coefficients present in later pregnancy. Tracking coefficients were not materially influenced by maternal socio-demographic and lifestyle characteristics. First, second and third trimester fetal growth characteristics were associated with the risk of adverse birth outcomes.
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Affiliation(s)
- Romy Gaillard
- Generation R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The NetherlandsGeneration R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The NetherlandsGeneration R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Eric Ap Steegers
- Generation R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Johan C de Jongste
- Generation R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Albert Hofman
- Generation R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Vincent Wv Jaddoe
- Generation R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The NetherlandsGeneration R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The NetherlandsGeneration R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The Netherlands
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Vasudeva A, Abraham AA, Kamath A. A prospective observational study of early fetal growth velocity and its association with birth weight, gestational age at delivery, preeclampsia, and perinatal mortality. Eur J Radiol 2013; 82:1313-7. [PMID: 23499339 DOI: 10.1016/j.ejrad.2013.02.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2012] [Revised: 02/13/2013] [Accepted: 02/14/2013] [Indexed: 11/25/2022]
Abstract
OBJECTIVES We aimed to measure early fetal growth velocity and to correlate this with the birth weight, gestational age at delivery, and with the incidence of adverse pregnancy outcomes specifically preeclampsia and perinatal mortality. METHODS A data based prospective observational study, wherein sonographic biometry data and specific pregnancy outcome related data were collected from pregnant women's records, starting soon after their first antenatal visit. Early fetal growth velocity was measured using BPD growth between 11 and 14 weeks scan and anomaly scan and standardizing this by Z scoring. RESULTS Out of 607 fetuses, 41 (6.7%) were slow growing, 531 (87.4%) normally growing, and 35 (5.7%) fast growing (Z scoring <10th(,) 10-90th, and >90th percentiles respectively). As fetal growth velocity increased, the mean birth weight decreased from 2958.7±388.9 (<10th centile), 2742.1±576.6 (10-90th centile), to 2339.3±729.4 (>90th centile); and gestational age at delivery decreased from 38.5±1.3 (<10th centile), 37.5±2.1 (10-90th centile), to 36.4±2.2 (>90th centile), and both these trends were statistically significant (p<0.001).Faster growing fetuses had a higher risk of preterm delivery(spontaneous+indicated) compared to other 2 groups [OR 4.42 (2.18,8.98)], and slower growing fetuses had a higher risk of postdated deliveries compared to other 2 groups [OR 3.042 (1.44, 6.45)].We found no significant association between early fetal growth velocity and incidence of small for gestational age at birth/low birth weight at term, preeclampsia, and perinatal mortality. CONCLUSIONS Early fetal growth velocity between first and second trimesters, may be one of the important factors influencing ultimate birthweight and gestational age at delivery.
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Affiliation(s)
- Akhila Vasudeva
- Department of Obstetrics and Gynaecology, Kasturba Medical College, Manipal University, Manipal 576104, Karnataka State, India.
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Myklestad K, Vatten LJ, Magnussen EB, Salvesen KÅ, Romundstad PR. Do parental heights influence pregnancy length?: A population-based prospective study, HUNT 2. BMC Pregnancy Childbirth 2013; 13:33. [PMID: 23383756 PMCID: PMC3608172 DOI: 10.1186/1471-2393-13-33] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2012] [Accepted: 01/30/2013] [Indexed: 11/15/2022] Open
Abstract
Background The objective of this study was to examine the association of maternal and paternal height with pregnancy length, and with the risk of pre- and post-term birth. In addition we aimed to study whether cardiovascular risk factors could explain possible associations. Methods Parents who participated in the Nord-Trøndelag Health Study (HUNT 2; 1995–1997) were linked to offspring data from the Medical Birth Registry of Norway (1997–2005). The main analyses included 3497 women who had delivered 5010 children, and 2005 men who had fathered 2798 pregnancies. All births took place after parental participation in HUNT 2. Linear regression was used to estimate crude and adjusted differences in pregnancy length according to parental heights. Logistic regression was used to estimate crude and adjusted associations of parental heights with the risk of pre- and post-term births. Results We found a gradual increase in pregnancy length by increasing maternal height, and the association was essentially unchanged after adjustment for maternal cardiovascular risk factors, parental age, offspring sex, parity, and socioeconomic measures. When estimated date of delivery was based on ultrasound, the difference between mothers in the lower height quintile (<163 cm cm) and mothers in the upper height quintile (≥ 173 cm) was 4.3 days, and when estimated date of delivery was based on last menstrual period (LMP), the difference was 2.8 days. Shorter women (< 163 cm) had lower risk of post-term births, and when estimated date of delivery was based on ultrasound they also had higher risk of pre-term births. Paternal height was not associated with pregnancy length, or with the risks of pre- and post-term births. Conclusions Women with shorter stature had shorter pregnancy length and lower risk of post-term births than taller women, and when EDD was based on ultrasound, they also had higher risk of preterm births. The effect of maternal height was generally stronger when pregnancy length was based on second trimester ultrasound compared to last menstrual period. The association of maternal height with pregnancy length could not be explained by cardiovascular risk factors. Paternal height was neither associated with pregnancy length nor with the risk of pre- and post-term birth.
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Affiliation(s)
- Kirsti Myklestad
- Department of Public Health, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim N-7489, Norway.
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Lopez PO, Bréart G. Trends in gestational age and birth weight in Chile, 1991-2008. A descriptive epidemiological study. BMC Pregnancy Childbirth 2012; 12:121. [PMID: 23116061 PMCID: PMC3573962 DOI: 10.1186/1471-2393-12-121] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2011] [Accepted: 10/29/2012] [Indexed: 11/30/2022] Open
Abstract
Background Gestational age and birth weight are the principal determinants of newborn’s health status. Chile, a middle income country traditionally has public policies that promote maternal and child health. The availability of an exhaustive database of live births has allows us to monitor over time indicators of newborns health. Methods This descriptive epidemiological study included all live births in Chile, both singleton and multiple, from 1991 through 2008. Trends in gestational age affected the rate of prevalence (%) of preterm births (<37 weeks, including the categories < 32 and 32–36 weeks), term births (37–41) and postterm births (42 weeks or more). Trends in birth weight affected the prevalence of births < 1500 g, 1500–2499 g, 2500–3999 g, and 4000 g or more. Results Data from an exhaustive register of live births showed that the number of term and postterm births decreased and the number of multiple births increased significantly. Birth weights exceeding 4000 g did not vary. Total preterm births rose from 5.0% to 6.6%, with increases of 28% for the singletons and 31% for multiple births (p for trend < 0.0001). Some categories increased even more: specifically preterm birth < 32 weeks increased 32.3% for singletons and 50.6% for multiple births (p for trend 0.0001). The overall rate of low birth weight infants (<2500 g) increased from 4.6% to 5.3%. This variation was not statistically significant for singletons (p for trend = 0.06), but specific analyses exhibited an important increase in the category weighing <1500 g (42%) similar to that observed in multiple births (43%). Conclusions The gestational age and birth weight of live born child have significantly changed over the past two decades in Chile. Monitoring only overall rates of preterm births and low-birth-weight could provide restricted information of this important problem to public health. Monitoring them by specific categories provides a solid basis for planning interventions to reduce adverse perinatal outcomes. This epidemiological information also showed the need to assess several factors that could contribute to explain these trends, as the demographics changes, medical interventions and the increasing probability of survival of extremely and very preterm child.
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Affiliation(s)
- Paulina O Lopez
- INSERM, UMR S953, Recherche Epidémiologique en santé périnatale et santé des femmes et des enfants, Hôpital Tenon, Paris, F-75020, France.
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Margulis AV, Setoguchi S, Mittleman MA, Glynn RJ, Dormuth CR, Hernández-Díaz S. Algorithms to estimate the beginning of pregnancy in administrative databases. Pharmacoepidemiol Drug Saf 2012; 22:16-24. [PMID: 22550030 DOI: 10.1002/pds.3284] [Citation(s) in RCA: 155] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2011] [Revised: 01/13/2012] [Accepted: 03/19/2012] [Indexed: 11/12/2022]
Abstract
PURPOSE The role of administrative databases for research on drug safety during pregnancy can be limited by their inaccurate assessment of the timing of exposure, as the gestational age at birth is typically unavailable. Therefore, we sought to develop and validate algorithms to estimate the gestational age at birth using information available in these databases. METHODS Using a population-based cohort of 286,432 mother-child pairs in British Columbia (1998-2007), we validated an ICD-9/10-based preterm-status indicator and developed algorithms to estimate the gestational age at birth on the basis of this indicator, maternal age, singleton/multiple status, and claims for routine prenatal care tests. We assessed the accuracy of the algorithm-based estimates relative to the gold standard of the clinical gestational age at birth recorded in the delivery discharge record. RESULTS The preterm-status indicator had specificity and sensitivity of 98% and 91%, respectively. Estimates from an algorithm that assigned 35 weeks of gestational age at birth to deliveries with the preterm-status indicator and 39 weeks to those without them were within 2 weeks of the clinical gestational age at birth in 75% of preterm and 99% of term deliveries. CONCLUSIONS Subtracting 35 weeks (245 days) from the date of birth in deliveries with codes for preterm birth and 39 weeks (273 days) in those without them provided the optimal estimate of the beginning of pregnancy among the algorithms studied.
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Affiliation(s)
- Andrea V Margulis
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.
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18
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Andersen GL, Romundstad P, De La Cruz J, Himmelmann K, Sellier E, Cans C, Kurinczuk JJ, Vik T. Cerebral palsy among children born moderately preterm or at moderately low birthweight between 1980 and 1998: a European register-based study. Dev Med Child Neurol 2011; 53:913-9. [PMID: 21838820 DOI: 10.1111/j.1469-8749.2011.04079.x] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
AIM The aim of this study was to describe trends in prevalence, subtypes, and severity among children with cerebral palsy (CP) born moderately preterm (MPT; (gestational age 32-36 wks) or at moderately low birthweight (MLBW; 1500-2499 g) in Europe. METHOD We conducted trend analyses of data from 903 children with CP born between 1980 and 1998 who were MPT (gestational age 32-36 wks), taken from 11 registers in the Surveillance of Cerebral Palsy in Europe database and from 1835 children with CP who were born at moderately low birthweight (1500-2499 g), taken from 14 registers in the Surveillance of Cerebral Palsy in Europe database. RESULTS The overall annual prevalence of CP in children born MPT varied between 12.2 (95% confidence interval [CI] 8.5-17.1) per 1000 live births in 1983 and 4.5 (95% CI 3.2-6.3) per 1000 in 1997. There was a significant decrease in the prevalence over time adjusted for register, with an annual change in prevalence of -3% (95% CI -5 to -2%). This was due to a decrease in the prevalence of bilateral spastic CP (annual change -5%; 95% CI -7 to -3%). INTERPRETATION There was a trend towards a decrease in the prevalence of CP among children born MPT, but no difference in prevalence among children born at MLBW. Both results may represent an improvement in perinatal and neonatal care.
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Affiliation(s)
- Guro L Andersen
- Norwegian Cerebral Palsy Registry, Habilitation Center, Vestfold Hospital, Tønsberg, Norway.
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Hellebust H, Johnsen SL, Rasmussen S, Kiserud T. Maternal weight gain: a determinant for fetal abdominal circumference in the second trimester. Acta Obstet Gynecol Scand 2011; 90:666-70. [PMID: 21418160 DOI: 10.1111/j.1600-0412.2011.01129.x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To study the association between maternal weight gain in pregnancy and fetal abdominal circumference in the second trimester. DESIGN Prospective cross-sectional study. SETTING Low-risk antenatal clinic. POPULATION Six hundred and fifty women with low-risk pregnancy. METHODS Women with a regular menstrual period (28±4 days) and certain information on the last menstrual period were recruited when they were referred for routine ultrasound scanning. Women with a discrepancy of>14 days between ultrasound and menstrual age were excluded. Maternal weight gain during pregnancy was derived from information in the antenatal chart and the weekly weight gain was calculated. Fetal abdominal circumference measurements were registered in gestational weeks 15-25 and their z-scores, together with the z-scores of maternal weight gain, were used in a linear regression analysis. Main outcome measures. Association between maternal weight gain and fetal abdominal circumference. RESULTS Based on the complete data of 515 women we found a mean maternal weight gain during pregnancy of 0.39 kg/week and a positive association between this weight gain and fetal abdominal circumference in the second trimester (r=0.122 (95%CI 0.051-0.194)), with the strongest effect in women with the slowest weight gain (<0.28 kg/week) (r=0.554 (95%CI 0.261-0.846)). CONCLUSION Maternal weight gain in pregnancy is related to and may determine fetal abdominal circumference in gestational weeks 15-25, particularly in those women with a slow weight gain.
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Affiliation(s)
- Henriette Hellebust
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen Department of Clinical Medicine, University of Bergen, Jonas Lies Vei 65, Bergen, Norway.
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Godfrey KM, Inskip HM, Hanson MA. The long-term effects of prenatal development on growth and metabolism. Semin Reprod Med 2011; 29:257-65. [PMID: 21769765 DOI: 10.1055/s-0031-1275518] [Citation(s) in RCA: 76] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
People who were small at birth and had poor infant growth have an increased risk of adult cardiovascular disease, osteoporosis, and type 2 diabetes, particularly if their restricted early growth was followed by increased childhood weight gain. These relations extend across the normal range of birth size in a graded manner, so reduced size is not a prerequisite. In addition, larger birth size is associated with risks of obesity and type 2 diabetes. The associations appear to reflect developmental plastic responses made by the fetus and infant based on cues about the environment, influenced by maternal characteristics including diet, body composition, stress, and exercise levels. These responses involve epigenetic processes that modify the offspring's phenotype. Vulnerability to ill health results if the environment in infancy, childhood, and later life is mismatched to the phenotype induced in development, informed by the developmental cues. This mismatch may arise through unbalanced diet or body composition of the mother or a change in lifestyle factors between generations. These insights offer new possibilities for the early diagnosis and prevention of chronic disease.
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Affiliation(s)
- Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom.
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Lampl M, Kusanovic JP, Erez O, Gotsch F, Espinoza J, Goncalves L, Lee W, Gomez R, Nien JK, Frongillo EA, Romero R. Growth perturbations in a phenotype with rapid fetal growth preceding preterm labor and term birth. Am J Hum Biol 2010; 21:782-92. [PMID: 19298010 DOI: 10.1002/ajhb.20880] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
The variability in fetal growth rates and gestation duration in humans is not well understood. Of interest are women presenting with an episode of preterm labor and subsequently delivering a term neonate, who is small relative to peers of similar gestational age. To further understand these relationships, fetal growth patterns predating an episode of preterm labor were investigated. Retrospective analysis of fetal biometry assessed by serial ultrasound in a prospectively studied sample of pregnancies in Santiago, Chile, tested the hypothesis that fetal growth patterns among uncomplicated pregnancies (n = 3,706) and those with an episode of preterm labor followed by term delivery (n = 184) were identical across the time intervals 16-22 weeks, 22-28 weeks, and 28-34 weeks in a multilevel mixed-effects regression. The hypothesis was not supported. Fetal weight growth rate was faster from 16 weeks among pregnancies with an episode of preterm labor (P < 0.05), declined across midgestation (22-28 weeks, P < 0.05), and rebounded between 28 and 34 weeks (P = 0.06). This was associated with perturbations in abdominal circumference growth and proportionately larger biparietal diameter from 22 gestational weeks (P = 0.03), greater femur (P = 0.01), biparietal diameter (P = 0.001) and head circumference (P = 0.02) dimensions relative to abdominal circumference across midgestation (22-28 weeks), followed by proportionately smaller femur diaphyseal length (P = 0.02) and biparietal diameter (P = 0.03) subsequently. A distinctive rapid growth phenotype characterized fetal growth preceding an episode of preterm labor among this sample of term-delivered neonates. Perturbations in abdominal circumference growth and patterns of proportionality suggest an altered growth strategy pre-dating the preterm labor episode.
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Affiliation(s)
- Michelle Lampl
- Department of Anthropology, Emory University, Atlanta, Georgia, USA.
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Gatford KL, Smits RJ, Collins CL, Argent C, De Blasio MJ, Roberts CT, Nottle MB, Kind KL, Owens JA. Maternal responses to daily maternal porcine somatotropin injections during early-mid pregnancy or early-late pregnancy in sows and gilts. J Anim Sci 2009; 88:1365-78. [PMID: 20023141 DOI: 10.2527/jas.2009-2265] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Piglet neonatal survival and postnatal growth and efficiency are positively related to birth weight. In gilts, daily maternal porcine ST (pST) injections from d 25 to 100 (term approximately 115 d), but not d 25 to 50, of pregnancy increase progeny birth weight. Daily maternal pST injections from d 25 to 50 increase fetal weight at d 50 in gilts and sows. We therefore hypothesized that daily pST injections from d 25 to 100, but not d 25 to 50, of pregnancy would increase birth weight similarly in both parities. Landrace x Large White gilts and sows were uninjected (controls) or were injected daily with pST (gilts: 2.5 mg/d; sows: 4.0 mg/d, each approximately 15 microg of pST/kg per day) from d 25 to 50 or 100 of pregnancy. Litter size and BW were recorded at birth, midlactation, and weaning. Dams were followed through the subsequent mating and pregnancy. Maternal pST injections from d 25 to 100, but not d 25 to 50, increased mean piglet birth weight by 11.6% in sows (P <or= 0.001) and by 5.6% in gilts (P = 0.008). Both pST treatments decreased litter size by approximately 0.6 live-born piglets (each P <or= 0.025). In sows, maternal pST treatment from d 25 to 100 increased culls at weaning (P = 0.037). In remated dams, prior treatments did not affect (P > 0.1) the weaning-remating interval, conception rate, or subsequent litter size. Greater pST-induced birth weight increases in sows than in gilts may mean that underlying metabolic or placental mechanisms for pST action are constrained by maternal competition for nutrients in rapidly growing gilts.
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Affiliation(s)
- K L Gatford
- Research Centre for Early Origins of Health and Disease, Robinson Institute, University of Adelaide SA 5005, Australia.
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Biometric assessment. Best Pract Res Clin Obstet Gynaecol 2009; 23:819-31. [DOI: 10.1016/j.bpobgyn.2009.06.007] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2009] [Revised: 05/11/2009] [Accepted: 06/06/2009] [Indexed: 11/20/2022]
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