142 results on '"Simpson, Nigel A B"'
Search Results
2. C-STICH: Cerclage Suture Type for an Insufficient Cervix and its effect on Health outcomes—a multicentre randomised controlled trial
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Israfil-Bayli, Fidan, Morton, Victoria Hodgetts, Hewitt, Catherine A., Ewer, Andrew K., Gray, Jim, Norman, Jane, Lees, Christoph, Simpson, Nigel A. B., Shennan, Andrew, Tryposkiadis, Konstantinos, Hughes, Max, Daniels, Jane, Brocklehurst, Peter, Morris, Katie, Middleton, Lee, and Toozs-Hobson, Philip
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- 2021
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3. Maternal iodine status in a multi-ethnic UK birth cohort: associations with autism spectrum disorder
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Cromie, Kirsten Jade, Threapleton, Diane Erin, Snart, Charles Jonathan Peter, Taylor, Elizabeth, Mason, Dan, Wright, Barry, Kelly, Brian, Reid, Stephen, Azad, Rafaq, Keeble, Claire, Waterman, Amanda H., Meadows, Sarah, McKillion, Amanda, Alwan, Nisreen A., Cade, Janet Elizabeth, Simpson, Nigel A. B., Stewart, Paul M., Zimmermann, Michael, Wright, John, Waiblinger, Dagmar, Mon-Williams, Mark, Hardie, Laura J., and Greenwood, Darren Charles
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- 2020
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4. Maternal iodine status, intrauterine growth, birth outcomes and congenital anomalies in a UK birth cohort
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Snart, Charles Jonathan Peter, Threapleton, Diane Erin, Keeble, Claire, Taylor, Elizabeth, Waiblinger, Dagmar, Reid, Stephen, Alwan, Nisreen A., Mason, Dan, Azad, Rafaq, Cade, Janet Elizabeth, Simpson, Nigel A. B., Meadows, Sarah, McKillion, Amanda, Santorelli, Gillian, Waterman, Amanda H., Zimmermann, Michael, Stewart, Paul M., Wright, John, Mon-Williams, Mark, Greenwood, Darren Charles, and Hardie, Laura J.
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- 2020
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5. Monofilament Suture Versus Braided Suture Thread to Improve Pregnancy Outcomes After Vaginal Cervical Cerclage (C-STICH): A Pragmatic Randomized, Controlled, Phase 3, Superiority Trial
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Morton, Victoria Hodgetts, primary, Toozs-Hobson, Philip, additional, Moakes, Catherine A., additional, Middleton, Lee, additional, Daniels, Jane, additional, Simpson, Nigel A. B., additional, Shennan, Andrew, additional, Israfil-Bayli, Fidan, additional, Ewer, Andrew K., additional, Gray, Jim, additional, Slack, Mark, additional, Norman, Jane E., additional, Lees, Christoph, additional, Tryposkiadis, Konstantinos, additional, Hughes, Max, additional, Brocklehurst, Peter, additional, and Morris, R. Katie, additional
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- 2023
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6. Maternal alcohol intake prior to and during pregnancy and risk of adverse birth outcomes: evidence from a British cohort
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Nykjaer, Camilla, Alwan, Nisreen A, Greenwood, Darren C, Simpson, Nigel A B, Hay, Alastair W M, White, Kay L M, and Cade, Janet E
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- 2014
7. Severity of maternal SARS-CoV-2 infection and perinatal outcomes of women admitted to hospital during the omicron variant dominant period using UK Obstetric Surveillance System data: prospective, national cohort study
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Engjom, Hilde M, primary, Ramakrishnan, Rema, additional, Vousden, Nicola, additional, Bunch, Kathryn, additional, Morris, Eddie, additional, Simpson, Nigel A B, additional, Gale, Chris, additional, O'Brien, Patrick, additional, Quigley, Maria, additional, Brocklehurst, Peter, additional, Kurinczuk, Jennifer J, additional, and Knight, Marian, additional
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- 2022
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8. Authorsʼ reply re: The epidemiology and outcomes of women with postpartum haemorrhage requiring massive transfusion with eight or more units of red cells: a national cross‐sectional study
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Knight, Marian, Seeney, Frances M., Hopkinson, Cathy, Collins, Peter W., Collis, Rachel E., Simpson, Nigel A. B., Weeks, Andrew, Stanworth, Simon S., and Green, Laura
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- 2017
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9. Mid-Trimester Maternal ADAM12 Levels Differ According to Fetal Gender in Pregnancies Complicated by Preeclampsia
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Myers, Jenny E., Thomas, Grégoire, Tuytten, Robin, Van Herrewege, Yven, Djiokep, Raoul O., Roberts, Claire T., Kenny, Louise C., Simpson, Nigel A. B., North, Robyn A., and Baker, Philip N.
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- 2015
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10. Severity of maternal infection and perinatal outcomes during periods of SARS-CoV-2 wildtype, alpha, and delta variant dominance in the UK: prospective cohort study
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Vousden, Nicola, primary, Ramakrishnan, Rema, additional, Bunch, Kathryn, additional, Morris, Eddie, additional, Simpson, Nigel A B, additional, Gale, Christopher, additional, O'Brien, Patrick, additional, Quigley, Maria, additional, Brocklehurst, Peter, additional, Kurinczuk, Jennifer J, additional, and Knight, Marian, additional
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- 2022
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11. The haematological features and transfusion management of women who required massive transfusion for major obstetric haemorrhage in the UK: a population based study
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Green, Laura, Knight, Marian, Seeney, Frances, Hopkinson, Cathy, Collins, Peter W., Collis, Rachel E., Simpson, Nigel A. B., Weeks, Andrew, and Stanworth, Simon J.
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- 2016
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12. Genetic predisposition to hypertension is associated with preeclampsia in European and Central Asian women
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Steinthorsdottir, Valgerdur, McGinnis, Ralph, Williams, Nicholas O., Stefansdottir, Lilja, Thorleifsson, Gudmar, Shooter, Scott, Fadista, João, Sigurdsson, Jon K., Auro, Kirsi M., Berezina, Galina, Borges, Maria-Carolina, Bumpstead, Suzannah, Bybjerg-Grauholm, Jonas, Colgiu, Irina, Dolby, Vivien A., Dudbridge, Frank, Engel, Stephanie M., Franklin, Christopher S., Frigge, Michael L., Frisbaek, Yr, Geirsson, Reynir T., Geller, Frank, Gretarsdottir, Solveig, Gudbjartsson, Daniel F., Harmon, Quaker, Hougaard, David Michael, Hegay, Tatyana, Helgadottir, Anna, Hjartardottir, Sigrun, Jääskeläinen, Tiina, Johannsdottir, Hrefna, Jonsdottir, Ingileif, Juliusdottir, Thorhildur, Kalsheker, Noor, Kasimov, Abdumadjit, Kemp, John P., Klungsøyr, Kari, Lee, Wai K., Melbye, Mads, Miedzybrodska, Zosia, Moffett, Ashley, Najmutdinova, Dilbar, Nishanova, Firuza, Olafsdottir, Thorunn, Perola, Markus, Poston, Lucilla, Prescott, Gordon, Saevarsdottir, Saedis, Salimbayeva, Damilya, Scaife, Paula Juliet, Skotte, Line, Staines-Urias, Eleonora, Stefansson, Olafur A., Sørensen, Karina Meden, Thomsen, Liv Cecilie Vestrheim, Tragante, Vinicius, Trogstad, Lill, Simpson, Nigel A. B., Aripova, Tamara, Casas, Juan P., Thorsteinsdottir, Unnur, Iversen, Ann-Charlotte, Feenstra, Bjarke, Lawlor, Deborah A., Boyd, Heather Allison, Magnus, Per, Zakhidova, Nodira, Svyatova, Gulnara, Stefansson, Kari, Laivuori, Hannele, Heinonen, Seppo, Kajantie, Eero, Kere, Juha, Kivinen, Katja, Pouta, Anneli, Morgan, Linda, Pipkin, Fiona Broughton, Walker, James J., Macphail, Sheila, Kilby, Mark, Habiba, Marwan, Williamson, Catherine, O’Shaughnessy, Kevin, O’Brien, Shaughn, Cameron, Alan, Redman, Christopher W. G., Farrall, Martin, Caulfield, Mark, Dominiczak, Anna F., Steinthorsdottir, Valgerdur [0000-0003-1846-6274], McGinnis, Ralph [0000-0003-4540-9857], Williams, Nicholas O. [0000-0003-3989-9167], Berezina, Galina [0000-0002-5442-4461], Bybjerg-Grauholm, Jonas [0000-0003-1705-4008], Dudbridge, Frank [0000-0002-8817-8908], Franklin, Christopher S. [0000-0003-3893-0759], Geller, Frank [0000-0002-9238-3269], Gudbjartsson, Daniel F. [0000-0002-5222-9857], Hougaard, David Michael [0000-0001-5928-3517], Helgadottir, Anna [0000-0002-1806-2467], Jääskeläinen, Tiina [0000-0002-1202-0936], Jonsdottir, Ingileif [0000-0001-8339-150X], Kemp, John P. [0000-0002-9105-2249], Kivinen, Katja [0000-0002-1135-7625], Melbye, Mads [0000-0001-8264-6785], Moffett, Ashley [0000-0002-8388-9073], Pipkin, Fiona Broughton [0000-0002-6209-5987], Prescott, Gordon [0000-0002-9156-2361], Saevarsdottir, Saedis [0000-0001-9392-6184], Skotte, Line [0000-0002-7398-1271], Stefansson, Olafur A. [0000-0002-9663-3018], Simpson, Nigel A. B. [0000-0002-0758-7583], Dominiczak, Anna F. [0000-0003-4913-3608], Walker, James J. [0000-0002-8922-083X], Iversen, Ann-Charlotte [0000-0001-7726-7684], Feenstra, Bjarke [0000-0003-1478-649X], Lawlor, Deborah A. [0000-0002-6793-2262], Boyd, Heather Allison [0000-0001-6849-9985], Laivuori, Hannele [0000-0003-3212-7826], Svyatova, Gulnara [0000-0001-5092-3143], Stefansson, Kari [0000-0003-1676-864X], Morgan, Linda [0000-0002-2995-4081], and Apollo - University of Cambridge Repository
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45 ,692/699/75/243 ,631/208/205/2138 ,45/43 ,article ,692/699/2732 - Abstract
Preeclampsia is a serious complication of pregnancy, affecting both maternal and fetal health. In genome-wide association meta-analysis of European and Central Asian mothers, we identify sequence variants that associate with preeclampsia in the maternal genome at ZNF831/20q13 and FTO/16q12. These are previously established variants for blood pressure (BP) and the FTO variant has also been associated with body mass index (BMI). Further analysis of BP variants establishes that variants at MECOM/3q26, FGF5/4q21 and SH2B3/12q24 also associate with preeclampsia through the maternal genome. We further show that a polygenic risk score for hypertension associates with preeclampsia. However, comparison with gestational hypertension indicates that additional factors modify the risk of preeclampsia.
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- 2020
13. Prediction of Survival for Preterm Births
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Koh, T. H. H. G., Harrison, H., Casey, A., Ferriman, Emma L., Doulah, M. Assaf, Simpson, Nigel A. B., Doyle, Lex W., Morley, Colin J., and Halliday, Jane
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- 2000
14. Imidazole-Based Erythrocyte Markers of Oxidative Stress in Preeclampsia—An NMR Investigation
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Turner, Elizabeth, Brewster, Jennifer A., Simpson, Nigel A. B., Walker, James J., and Fisher, Julie
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- 2009
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15. C-STICH: Cerclage Suture Type for an Insufficient Cervix and its Effect on Health Outcomes. A Multicentre Randomised Controlled Trial.
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Israfil-Bayli, Fidan, primary, Morton, Victoria Ann Hodgetts, additional, Hewitt, Catherine A, additional, Ewer, Andrew K, additional, Grey, Jim, additional, Norman, Jane, additional, Lees, Christoph, additional, Simpson, Nigel A B, additional, Shennan, Andrew, additional, Hughes, Max, additional, Daniels, Jane, additional, Brocklehurst, Peter, additional, Morris, R.Katie, additional, Middleton, Lee, additional, and Toozs-Hobson, Philip, additional
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- 2021
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16. Additional file 1 of Maternal iodine status, intrauterine growth, birth outcomes and congenital anomalies in a UK birth cohort
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Snart, Charles Jonathan Peter, Threapleton, Diane Erin, Keeble, Claire, Taylor, Elizabeth, Waiblinger, Dagmar, Reid, Stephen, Nisreen A. Alwan, Mason, Dan, Rafaq Azad, Cade, Janet Elizabeth, Simpson, Nigel A. B., Meadows, Sarah, McKillion, Amanda, Santorelli, Gillian, Waterman, Amanda H., Zimmermann, Michael, Stewart, Paul M., Wright, John, Mon-Williams, Mark, Greenwood, Darren Charles, and Hardie, Laura J.
- Abstract
Additional file 1: Table S1. Details of socioeconomic position categories and maternal education levels. Table S2. Details of model covariates, sample exclusions, sensitivity analyses and subgroup analyses for each of the different outcomes. Table S3. Pairwise correlations between each of the growth measures. Table S4. Predicted estimates (continuous outcomes) and percent at the threshold (binary outcomes) (99% CIs) at the 25th, 50th and 75th centiles of iodine concentration and p-overall* for ‘average’ participants†. Figure S1. A directed acyclic graph used to identify confounders and competing exposures in the association between maternal iodine concentration and birth or pregnancy outcomes. Figure S2. Flow chart of participant inclusions and exclusions. Figure S3. Estimated APGAR score at 1 minute and percent with congenital anomalies, using imputed datasets for the full sample. Figure S4. Estimated biparietal diameter, femur length and abdominal circumference, from ultrasound scans at 34 weeks’ gestation, across the range of maternal I:Cr concentrations using imputed datasets for the full sample. Figure S5. Estimated birthweight centile in all participants, sensitivity analysis and subgroups. Figure S6. Estimated birthweight in grams in all participants, sensitivity analysis and subgroups. Figure S7. Probability of being small for gestational age in all participants, sensitivity analysis and subgroups. Figure S8. Probability of low birthweight in all participants, sensitivity analysis and subgroups. Figure S9. Apgar score at 5 minutes after birth in all participants, sensitivity analysis and subgroups. Figure S10. Estimated head circumference at birth in all participants, sensitivity analysis and subgroups. Figure S11. Estimated head circumference from 34 week ultrasound scan in all participants, sensitivity analysis and subgroups. Figure S12. Estimated weight from 34 week ultrasound scan in all participants, sensitivity analysis and subgroups. Figure S13. Probability of preterm birth in all participants, sensitivity analysis and subgroups. Figure S14. Probability of congenital anomalies in all participants, sensitivity analysis and subgroups.
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- 2020
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17. Maternal iodine status in a multi‐ethnic UK birth cohort: Associations with child cognitive and educational development
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Threapleton, Diane E., primary, Snart, Charles J. P., additional, Keeble, Claire, additional, Waterman, Amanda H., additional, Taylor, Elizabeth, additional, Mason, Dan, additional, Reid, Stephen, additional, Azad, Rafaq, additional, Hill, Liam J. B., additional, Meadows, Sarah, additional, McKillion, Amanda, additional, Alwan, Nisreen A., additional, Cade, Janet E., additional, Simpson, Nigel A. B., additional, Stewart, Paul M., additional, Zimmermann, Michael, additional, Wright, John, additional, Waiblinger, Dagmar, additional, Mon‐Williams, Mark, additional, Hardie, Laura J., additional, and Greenwood, Darren C., additional
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- 2020
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18. New thoughts on the physiology of pregnancy
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Walker, James J, primary and Simpson, Nigel A B, additional
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- 1998
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19. Prediction of survival for preterm births : Curve presents information on survival and morbidity more clearly than tables
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Ferriman, Emma L, Doulah, M Assaf, and Simpson, Nigel A B
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- 2000
20. Maternal iodine status in a multi‐ethnic UK birth cohort: Associations with child cognitive and educational development.
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Threapleton, Diane E., Snart, Charles J. P., Keeble, Claire, Waterman, Amanda H., Taylor, Elizabeth, Mason, Dan, Reid, Stephen, Azad, Rafaq, Hill, Liam J. B., Meadows, Sarah, McKillion, Amanda, Alwan, Nisreen A., Cade, Janet E., Simpson, Nigel A. B., Stewart, Paul M., Zimmermann, Michael, Wright, John, Waiblinger, Dagmar, Mon‐Williams, Mark, and Hardie, Laura J.
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CHILD development ,COGNITION ,IODINE deficiency ,PREGNANCY ,NUTRITION in pregnancy - Abstract
Background: Maternal iodine requirements increase during pregnancy to supply thyroid hormones critical for fetal neurodevelopment. Iodine insufficiency may result in poorer cognitive or child educational outcomes but current evidence is sparse and inconsistent. Objectives: To quantify the association between maternal iodine status and child educational outcomes. Methods: Urinary iodine concentrations (UIC) and iodine/creatinine ratios (I:Cr) were measured in 6971 mothers at 26‐28 weeks' gestation participating in the Born in Bradford cohort. Maternal iodine status was examined in relation to child school achievement (early years foundation stage (EYFS), phonics, and Key Stage 1 (KS1)), other learning outcomes, social and behavioural difficulties, and sensorimotor control in 5745 children aged 4‐7 years. Results: Median (interquartile range) UIC was 76 µg/L (46, 120), and I:Cr was 83 µg/g (59, 121). Overall, there was no strong or consistent evidence to support associations between UIC or I:Cr and neurodevelopmental outcomes. For instance, predicted EYFS and phonics scores (primary outcomes) at the 25th vs 75th I:Cr percentiles (99% confidence intervals) were similar, with no evidence of associations: EYFS scores were 32 (99% CI 31, 33) and 33 (99% CI 32, 34), and phonics scores were 34 (99% CI 33, 35) and 35 (99% CI 34, 36), respectively. Conclusions: In the largest single study of its kind, there was little evidence of detrimental neurodevelopmental outcomes in children born to pregnant women with iodine insufficiency as defined by World Health Organization–outlined thresholds. Alternative functional biomarkers for iodine status in pregnancy and focused assessment of other health outcomes may provide additional insight. [ABSTRACT FROM AUTHOR]
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- 2021
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21. Prediction of preeclampsia risk in first time pregnant women: Metabolite biomarkers for a clinical test.
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Kenny, Louise C., Thomas, Grégoire, Poston, Lucilla, Myers, Jenny E., Simpson, Nigel A. B., McCarthy, Fergus P., Brown, Leslie W., Bond, Alison E., Tuytten, Robin, and Baker, Philip N.
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PREECLAMPSIA ,PREGNANT women ,LIQUID chromatography-mass spectrometry ,PLACENTAL growth factor ,PRENATAL care - Abstract
Preeclampsia remains a leading cause of maternal and perinatal morbidity and mortality. Accurate prediction of preeclampsia risk would enable more effective, risk-based prenatal care pathways. Current risk assessment algorithms depend on clinical risk factors largely unavailable for first-time pregnant women. Delivering accurate preeclampsia risk assessment to this cohort of women, therefore requires for novel biomarkers. Here, we evaluated the relevance of metabolite biomarker candidates for their selection into a prototype rapid, quantitative Liquid Chromatography-tandem Mass Spectrometry (LC-MS/MS) based clinical screening assay. First, a library of targeted LC-MS/MS assays for metabolite biomarker candidates was developed, using a medium-throughput translational metabolomics workflow, to verify biomarker potential in the Screening-for-Pregnancy-Endpoints (SCOPE, European branch) study. A variable pre-selection step was followed by the development of multivariable prediction models for pre-defined clinical use cases, i.e., prediction of preterm preeclampsia risk and of any preeclampsia risk. Within a large set of metabolite biomarker candidates, we confirmed the potential of dilinoleoyl-glycerol and heptadecanoyl-2-hydroxy-sn-glycero-3-phosphocholine to effectively complement Placental Growth Factor, an established preeclampsia biomarker, for the prediction of preeclampsia risk in first-time pregnancies without overt risk factors. These metabolites will be considered for integration in a prototype rapid, quantitative LC-MS/MS assay, and subsequent validation in an independent cohort. [ABSTRACT FROM AUTHOR]
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- 2020
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22. Prediction of small for gestational age infants in healthy nulliparous women using clinical and ultrasound risk factors combined with early pregnancy biomarkers
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McCowan, Lesley M E, Thompson, John M D, Taylor, Rennae S., Baker, Philip N., North, Robyn A., Poston, Lucilla, Roberts, Claire T., Simpson, Nigel A B, Walker, James J., Myers, Jenny, Kenny, Louise C., Healy, D., Briley, A., Murphy, N., Snapes, E., Chan, Eliza, Black, Mik, and Gebhardt, S
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Physiology ,Maternal Health ,lcsh:Medicine ,Early pregnancy factor ,Blood Pressure ,030204 cardiovascular system & hematology ,Biochemistry ,Vascular Medicine ,Families ,Placental Growth Factor ,0302 clinical medicine ,Endocrinology ,Mathematical and Statistical Techniques ,Pregnancy ,Risk Factors ,Placental growth factor ,Medicine and Health Sciences ,Medicine ,Hypertensive disorders in pregnancy ,lcsh:Science ,Biological sciences ,Children ,030219 obstetrics & reproductive medicine ,Multidisciplinary ,biology ,Scope (project management) ,Pregnancy Outcome ,Obstetrics and Gynecology ,Prognosis ,3. Good health ,Parity ,Hypertension ,Physical Sciences ,Infant, Small for Gestational Age ,language ,Female ,Health board ,Infants ,Statistics (Mathematics) ,Research Article ,Pregnancy Trimester, Third ,Library science ,Gestational Age ,Research and Analysis Methods ,Ultrasonography, Prenatal ,03 medical and health sciences ,Irish ,Hypertensive Disorders in Pregnancy ,Growth Factors ,Humans ,Statistical Methods ,National health ,Government ,Endocrine Physiology ,business.industry ,lcsh:R ,Biology and Life Sciences ,National health service ,Preeclampsia ,language.human_language ,Pregnancy Complications ,Age Groups ,People and Places ,biology.protein ,Women's Health ,lcsh:Q ,Population Groupings ,business ,Biomarkers ,Mathematics ,Forecasting - Abstract
OBJECTIVE: Most small for gestational age pregnancies are unrecognised before birth, resulting in substantial avoidable perinatal mortality and morbidity. Our objective was to develop multivariable prediction models for small for gestational age combining clinical risk factors and biomarkers at 15±1 weeks' with ultrasound parameters at 20±1 weeks' gestation.METHODS: Data from 5606 participants in the Screening for Pregnancy Endpoints (SCOPE) cohort study were divided into Training (n = 3735) and Validation datasets (n = 1871). The primary outcomes were All-SGA (small for gestational age with birthweight RESULTS: 633 (11.2%) infants were All-SGA, 465(8.2%) Normotensive-SGA and 168 (3%) Hypertensive-SGA. Area under the curve (95% Confidence Intervals) for All-SGA using 15±1 weeks' clinical variables, 15±1 weeks' clinical+ biomarker variables and clinical + biomarkers + biometry /Doppler at 20±1 weeks' were: 0.63 (0.59-0.67), 0.64 (0.60-0.68) and 0.69 (0.66-0.73) respectively in the Validation dataset; Normotensive-SGA results were similar: 0.61 (0.57-0.66), 0.61 (0.56-0.66) and 0.68 (0.64-0.73) with small increases in performance in the Training datasets. Area under the curve (95% Confidence Intervals) for Hypertensive-SGA were: 0.76 (0.70-0.82), 0.80 (0.75-0.86) and 0.84 (0.78-0.89) with minimal change in the Training datasets.CONCLUSION: Models for prediction of small for gestational age, which combine biomarkers, clinical and ultrasound data from a cohort of low-risk nulliparous women achieved modest performance. Incorporation of biomarkers into the models resulted in no improvement in performance of prediction of All-SGA and Normotensive-SGA but a small improvement in prediction of Hypertensive-SGA. Our models currently have insufficient reliability for application in clinical practice however, they have potential utility in two-staged screening tests which include third trimester biomarkers and or fetal biometry.
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- 2017
23. Is infant arterial stiffness associated with maternal blood pressure in pregnancy? Findings from a UK birth cohort (Baby VIP study)
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Ng, Ka Ying Bonnie, primary, Simpson, Nigel A. B., additional, Cade, Janet E., additional, Greenwood, Darren C., additional, Mcardle, Harry J., additional, Ciantar, Etienne, additional, and Alwan, Nisreen A., additional
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- 2018
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24. Is dietary macronutrient composition during pregnancy associated with offspring birth weight? An observational study
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Sharma, Sukshma S., primary, Greenwood, Darren C., additional, Simpson, Nigel A. B., additional, and Cade, Janet E., additional
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- 2018
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25. Use of metabolomics for the identification and validation of clinical biomarkers for preterm birth:Preterm SAMBA
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Cecatti, Jose G., Souza, Renato T., Sulek, Karolina, Costa, Maria L., Kenny, Louise C., McCowan, Lesley M., Pacagnella, Rodolfo C., Villas-Boas, Silas G., Mayrink, Jussara, Passini, Renato, Franchini, Kleber G., Baker, Philip N., Parpinelli, Mary A., Calderon, Iracema M., Cassettari, Bianca F., Vetorazzi, Janete, Pfitscher, Lucia, Filho, Edilberto P Rocha, Leite, Débora F., Feitosa, Francisco E., Costa e Silva, Carolina L., Poston, Lucilla, Myers, Jenny E., Simpson, Nigel A B, Walker, James J., Dekker, Gus A., Roberts, Claire T., Universidade Estadual de Campinas (UNICAMP), Liggins Institute, Irish Centre for Fetal and Neonatal Translational Research (INFANT), Faculty of Medical and Health Sciences, School of Biological Sciences, LNBio, Universidade Estadual Paulista (Unesp), Federal University of Rio Grande do Sul, Universidade Federal de Pernambuco (UFPE), Federal University of Ceará, King's College London and King's Health Partners, University of Manchester, University of Leeds, and University of Adelaide
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medicine.medical_specialty ,Pediatrics ,Reproductive medicine ,Sensitivity and Specificity ,Birth rate ,Study Protocol ,03 medical and health sciences ,0302 clinical medicine ,Metabolomics ,Clinical Protocols ,Predictive Value of Tests ,Pregnancy ,Risk Factors ,Prenatal Diagnosis ,Secondary analysis ,Obstetrics and Gynaecology ,medicine ,Humans ,030212 general & internal medicine ,030219 obstetrics & reproductive medicine ,Mass spectrometry ,Obstetrics ,business.industry ,Infant, Newborn ,Obstetrics and Gynecology ,3. Good health ,Neonatal morbidity ,Spontaneous preterm birth ,Case-Control Studies ,Pregnancy Trimester, Second ,Premature Birth ,Gestation ,Term Birth ,Female ,Sample collection ,business ,Prediction ,Ireland ,Algorithms ,Biomarkers ,Brazil ,Hair ,New Zealand ,Biological biomarker - Abstract
Made available in DSpace on 2018-12-11T17:29:12Z (GMT). No. of bitstreams: 0 Previous issue date: 2016-08-08 Background: Spontaneous preterm birth is a complex syndrome with multiple pathways interactions determining its occurrence, including genetic, immunological, physiologic, biochemical and environmental factors. Despite great worldwide efforts in preterm birth prevention, there are no recent effective therapeutic strategies able to decrease spontaneous preterm birth rates or their consequent neonatal morbidity/mortality. The Preterm SAMBA study will associate metabolomics technologies to identify clinical and metabolite predictors for preterm birth. These innovative and unbiased techniques might be a strategic key to advance spontaneous preterm birth prediction. Methods/design: Preterm SAMBA study consists of a discovery phase to identify biophysical and untargeted metabolomics from blood and hair samples associated with preterm birth, plus a validation phase to evaluate the performance of the predictive modelling. The first phase, a case-control study, will randomly select 100 women who had a spontaneous preterm birth (before 37 weeks) and 100 women who had term birth in the Cork Ireland and Auckland New Zealand cohorts within the SCOPE study, an international consortium aimed to identify potential metabolomic predictors using biophysical data and blood samples collected at 20 weeks of gestation. The validation phase will recruit 1150 Brazilian pregnant women from five participant centres and will collect blood and hair samples at 20 weeks of gestation to evaluate the performance of the algorithm model (sensitivity, specificity, predictive values and likelihood ratios) in predicting spontaneous preterm birth (before 34 weeks, with a secondary analysis of delivery before 37 weeks). Discussion: The Preterm SAMBA study intends to step forward on preterm birth prediction using metabolomics techniques, and accurate protocols for sample collection among multi-ethnic populations. The use of metabolomics in medical science research is innovative and promises to provide solutions for disorders with multiple complex underlying determinants such as spontaneous preterm birth. University of Campinas (UNICAMP) School of Medical Sciences Department of Obstetrics and Gynecology, R. Alexander Fleming, 101 University of Auckland Gravida: National Centre for Growth and Development Liggins Institute University College Cork Irish Centre for Fetal and Neonatal Translational Research (INFANT) Department of Obstetrics and Gynaecology University of Auckland South Auckland Clinical School Faculty of Medical and Health Sciences University of Auckland School of Biological Sciences University of Campinas (UNICAMP) LNBio-Brazilian Biosciences National Laboratory and School of Medical Sciences School of Medical Sciences University of Campinas LNBio School of Medicine of Botucatu UNESP School of Medicine Federal University of Rio Grande do Sul School of Medicine Federal University of Pernambuco School of Medicine Federal University of Ceará King's College London and King's Health Partners Maternal and Fetal Health Research Centre University of Manchester University of Leeds University of Adelaide School of Medicine of Botucatu UNESP
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- 2016
26. Authors' reply re: The epidemiology and outcomes of women with postpartum haemorrhage requiring massive transfusion with eight or more units of red cells: a national cross‐sectional study
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Knight, Marian, primary, Seeney, Frances M., additional, Hopkinson, Cathy, additional, Collins, Peter W., additional, Collis, Rachel E., additional, Simpson, Nigel A. B., additional, Weeks, Andrew, additional, Stanworth, Simon S., additional, and Green, Laura, additional
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- 2016
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27. The haematological features and transfusion management of women who required massive transfusion for major obstetric haemorrhage in the UK: a population based study
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Green, Laura, primary, Knight, Marian, additional, Seeney, Frances, additional, Hopkinson, Cathy, additional, Collins, Peter W., additional, Collis, Rachel E., additional, Simpson, Nigel A. B., additional, Weeks, Andrew, additional, and Stanworth, Simon J., additional
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- 2015
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28. Prediction of survival for preterm births
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Koh, T H H G, Harrison, H, Casey, A, Ferriman, Emma L., Doulah, M Assaf, Simpson, Nigel A B, Doyle, Lex W., Morley, Colin J., and Halliday, Jane
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Infants -- Patient outcomes ,Mortality ,Infants (Premature) -- Patient outcomes ,Health ,Patient outcomes - Abstract
Survival table was not easy to understand EDITOR--The article by Draper et al deserves further comment.[1] The objective of the study was to produce current data on survival of preterm [...]
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- 2000
29. Maternal iron status in early pregnancy and birth outcomes: insights from the Baby's Vascular health and Iron in Pregnancy study
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Alwan, Nisreen A., primary, Cade, Janet E., additional, McArdle, Harry J., additional, Greenwood, Darren C., additional, Hayes, Helen E., additional, and Simpson, Nigel A. B., additional
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- 2015
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30. Maternal alcohol intake up to and during pregnancy and risk of adverse birth outcomes: evidence from a British cohort
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Nykjaer, Camilla, primary, Alwan, Nisreen A, additional, Greenwood, Darren C, additional, Simpson, Nigel A B, additional, Hay, Alastair W M, additional, White, Kay L M, additional, and Cade, Janet E, additional
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- 2013
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31. Risk Factors for Preterm Birth in an International Prospective Cohort of Nulliparous Women
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Dekker, Gustaaf Albert, primary, Lee, Shalem Y., additional, North, Robyn A., additional, McCowan, Lesley M., additional, Simpson, Nigel A. B., additional, and Roberts, Claire T., additional
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- 2012
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32. Variants in the fetal genome near FLT1 are associated with risk of preeclampsia
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McGinnis, Ralph, Steinthorsdottir, Valgerdur, Williams, Nicholas O, Thorleifsson, Gudmar, Shooter, Scott, Hjartardottir, Sigrun, Bumpstead, Suzannah, Stefansdottir, Lilja, Hildyard, Lucy, Sigurdsson, Jon K, Kemp, John P, Silva, Gabriela B, Thomsen, Liv Cecilie V, Jääskeläinen, Tiina, Kajantie, Eero, Chappell, Sally, Kalsheker, Noor, Moffett, Ashley, Hiby, Susan, Lee, Wai Kwong, Padmanabhan, Sandosh, Simpson, Nigel A B, Dolby, Vivien A, Staines-Urias, Eleonora, Engel, Stephanie M, Haugan, Anita, Trogstad, Lill, Svyatova, Gulnara, Zakhidova, Nodira, Najmutdinova, Dilbar, Dominiczak, Anna F, Gjessing, Håkon K, Casas, Juan P, Dudbridge, Frank, Walker, James J, Pipkin, Fiona Broughton, Thorsteinsdottir, Unnur, Geirsson, Reynir T, Lawlor, Debbie A, Iversen, Ann-Charlotte, Magnus, Per, Laivuori, Hannele, Stefansson, Kari, and Morgan, Linda
- Abstract
Preeclampsia, which affects approximately 5% of pregnancies, is a leading cause of maternal and perinatal death. The causes of preeclampsia remain unclear, but there is evidence for inherited susceptibility. Genome-wide association studies (GWAS) have not identified maternal sequence variants of genome-wide significance that replicate in independent data sets. We report the first GWAS of offspring from preeclamptic pregnancies and discovery of the first genome-wide significant susceptibility locus (rs4769613; P = 5.4 × 10−11) in 4,380 cases and 310,238 controls. This locus is near the FLT1 gene encoding Fms-like tyrosine kinase 1, providing biological support, as a placental isoform of this protein (sFlt-1) is implicated in the pathology of preeclampsia. The association was strongest in offspring from pregnancies in which preeclampsia developed during late gestation and offspring birth weights exceeded the tenth centile. An additional nearby variant, rs12050029, associated with preeclampsia independently of rs4769613. The newly discovered locus may enhance understanding of the pathophysiology of preeclampsia and its subtypes.
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- 2017
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33. Assessing caffeine exposure in pregnant women
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Boylan, Sinead M., primary, Cade, Janet E., additional, Kirk, Sara F. L., additional, Greenwood, Darren C., additional, White, Kay L. M., additional, Shires, Susan, additional, Simpson, Nigel A. B., additional, Wild, Chris P., additional, and Hay, Alastair W. M., additional
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- 2008
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34. Aromatic Amino Acid Biomarkers of Preeclampsia—A Nuclear Magnetic Resonance Investigation
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Turner, Elizabeth, primary, Brewster, Jennifer A., additional, Simpson, Nigel A. B., additional, Walker, James J., additional, and Fisher, Julie, additional
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- 2008
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35. Plasma From Women with Preeclampsia Has a Low Lipid and Ketone Body Content—A Nuclear Magnetic Resonance Study
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Turner, Elizabeth, primary, Brewster, Jennifer A., additional, Simpson, Nigel A. B., additional, Walker, James J., additional, and Fisher, Julie, additional
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- 2007
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36. Cytokine and growth factor profiling in patients with the metabolic syndrome.
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Alwan, Nisreen A., Cade, Janet E., McArdle, Harry J., Greenwood, Darren C., Hayes, Helen E., and Simpson, Nigel A. B.
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C-reactive protein ,CHI-squared test ,CYTOKINES ,EPIDERMAL growth factor ,FISHER exact test ,INTERLEUKINS ,INTERVIEWING ,LONGITUDINAL method ,MULTIVARIATE analysis ,NUTRITIONAL requirements ,PROBABILITY theory ,QUESTIONNAIRES ,REGRESSION analysis ,RESEARCH funding ,STATISTICS ,T-test (Statistics) ,TUMOR necrosis factors ,LOGISTIC regression analysis ,DATA analysis ,VASCULAR endothelial growth factors ,METABOLIC syndrome ,BODY mass index ,DATA analysis software ,MANN Whitney U Test - Abstract
The metabolic syndrome (MetS) is associated with a pro-inflammatory milieu that may partially account for its association with an increased cardiovascular risk. We aimed to (1) evaluate the serum concentrations of twelve cytokines and growth factors (epidermal growth factor (EGF), interferon-γ (IFN-γ), IL-1α/-1β/-2/-4/-6/-8/-10, monocyte chemoattractant protein-1 (MCP-1), TNF-α and vascular endothelial growth factor (VEGF)) in 303 individuals with or without the MetS; and (2) explore their relationship with the presence of the MetS. Patients with the MetS had significantly higher serum concentrations of IFN-γ, EGF, IL-1α/-1β/-2/-4/-6/-8/-10, MCP-1 and TNF-α, whilst serum VEGF concentrations were markedly lower compared with the control group (e.g. 38·55 v. 82.18 pg/ml; P< 0.05). Amongst these parameters, IFN-γ and IL-1α emerged as the most significant independent predictors of the MetS. In conclusion, our findings demonstrate that patients with the MetS had an altered blood cytokine and growth factor profile that may partially account for its adverse clinical outcomes. Further prospective studies in larger multi-centre settings are required to unravel the role and association of the emerging biomarkers with the MetS and their implication in therapeutic intervention. [ABSTRACT FROM AUTHOR]
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- 2015
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37. A Prospective Analysis of the Role of Uterine Artery Doppler Waveform Notching in the Assessment of At-Risk Pregnancies
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El-Hamedi, Afaf, primary, Shillito, Jayne, additional, Simpson, Nigel A B., additional, and Walker, James J., additional
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- 2005
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38. Thromboelastography Identifies Sex-Related Differences in Coagulation
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Gorton, Heather J., primary, Warren, Elisa R., additional, Simpson, Nigel A. B., additional, Lyons, Gordon R., additional, and Columb, Malachy O., additional
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- 2000
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39. Early pregnancy prediction of preeclampsia in nulliparous women, combining clinical risk and biomarkers: the Screening for Pregnancy Endpoints (SCOPE) international cohort study.
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Kenny, Louise C, Black, Michael A, Poston, Lucilla, Taylor, Rennae, Myers, Jenny E, Baker, Philip N, McCowan, Lesley M, Simpson, Nigel A B, Dekker, Gus A, Roberts, Claire T, Rodems, Kelline, Noland, Brian, Raymundo, Michael, Walker, James J, and North, Robyn A
- Abstract
More than half of all cases of preeclampsia occur in healthy first-time pregnant women. Our aim was to develop a method to predict those at risk by combining clinical factors and measurements of biomarkers in women recruited to the Screening for Pregnancy Endpoints (SCOPE) study of low-risk nulliparous women. Forty-seven biomarkers identified on the basis of (1) association with preeclampsia, (2) a biological role in placentation, or (3) a role in cellular mechanisms involved in the pathogenesis of preeclampsia were measured in plasma sampled at 14 to 16 weeks' gestation from 5623 women. The cohort was randomly divided into training (n=3747) and validation (n=1876) cohorts. Preeclampsia developed in 278 (4.9%) women, of whom 28 (0.5%) developed early-onset preeclampsia. The final model for the prediction of preeclampsia included placental growth factor, mean arterial pressure, and body mass index at 14 to 16 weeks' gestation, the consumption of ≥3 pieces of fruit per day, and mean uterine artery resistance index. The area under the receiver operator curve (95% confidence interval) for this model in training and validation cohorts was 0.73 (0.70-0.77) and 0.68 (0.63-0.74), respectively. A predictive model of early-onset preeclampsia included angiogenin/placental growth factor as a ratio, mean arterial pressure, any pregnancy loss <10 weeks, and mean uterine artery resistance index (area under the receiver operator curve [95% confidence interval] in training and validation cohorts, 0.89 [0.78-1.0] and 0.78 [0.58-0.99], respectively). Neither model included pregnancy-associated plasma protein A, previously reported to predict preeclampsia in populations of mixed parity and risk. In nulliparous women, combining multiple biomarkers and clinical data provided modest prediction of preeclampsia. [ABSTRACT FROM AUTHOR]
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- 2014
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40. Clinical Prediction in Early Pregnancy of Infants Small for Gestational Age by Customised Birthweight Centiles: Findings from a Healthy Nulliparous Cohort.
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McCowan, Lesley M. E., Thompson, John M. D., Taylor, Rennae S., North, Robyn A., Poston, Lucilla, Baker, Philip N., Myers, Jenny, Roberts, Claire T., Dekker, Gustaaf A., Simpson, Nigel A. B., Walker, James J., and Kenny, Louise C.
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LOGISTIC regression analysis ,GESTATIONAL age ,COHORT analysis ,ANTHROPOMETRY ,CARDIOVASCULAR diseases ,CLINICAL medicine - Abstract
Objective: Small for gestational age (SGA) infants comprise up to 50% of all stillbirths and a minority are detected before birth. We aimed to develop and validate early pregnancy predictive models for SGA infants. Methods: 5628 participants from SCOPE, a prospective study of nulliparous pregnant women, were interviewed at 15±1 weeks’ gestation. Fetal anthropometry, uterine and umbilical Doppler studies were performed at 20±1 weeks’. The cohort was divided into training (n = 3735) and validation datasets (n = 1871). All-SGA (birthweight <10th customised centile), Normotensive-SGA (SGA with normotensive mother) and Hypertensive-SGA (SGA with mother who developed hypertension) were the primary outcomes. Multivariable analysis was performed using stepwise logistic regression firstly using clinical variables and then with clinical and ultrasound variables. Receiver operator curves were constructed and areas under the curve (AUC) calculated. Results: 633 infants (11.3%) in the whole cohort were SGA; 465 (8.3%) Normotensive-SGA and 165 (3.0%) Hypertensive-SGA. In the training dataset risk factors for All-SGA at 15±1 weeks’ included: family history of coronary heart disease, maternal birthweight <3000 g and 3000 g to 3499 g compared with ≥3500 g, >12 months to conceive, university student, cigarette smoking, proteinuria, daily vigorous exercise and diastolic blood pressure ≥80. Recreational walking ≥4 times weekly, rhesus negative blood group and increasing random glucose were protective. AUC for clinical risk factors was 0.63. Fetal abdominal or head circumference z scores <10
th centile and increasing uterine artery Doppler resistance at 20±1 weeks’ were associated with increased risk. Addition of these parameters increased the AUC to 0.69. Clinical predictors of Normotensive and Hypertensive-SGA were sub-groups of All-SGA predictors and were quite different. The combined clinical and ultrasound AUC for Normotensive and Hypertensive-SGA were 0.69 and 0.82 respectively. Conclusion: Predictors for SGA of relevance to clinical practice were identified. The identity and predictive potential differed in normotensive women and those who developed hypertension. [ABSTRACT FROM AUTHOR]- Published
- 2013
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41. Integrated Proteomics Pipeline Yields Novel Biomarkers for Predicting Preeclampsia.
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Myers, Jenny E., Tuytten, Robin, Thomas, Grégoire, Laroy, Wouter, Kas, Koen, Vanpoucke, Griet, Roberts, Claire T., Kenny, Louise C., Simpson, Nigel A. B., Baker, Philip N., and North, Robyn A.
- Abstract
Preeclampsia, a hypertensive pregnancy complication, is largely unpredictable in healthy nulliparous pregnant women. Accurate preeclampsia prediction in this population would transform antenatal care. To identify novel protein markers relevant to the prediction of preeclampsia, a 3-step mass spectrometric work flow was applied. On selection of candidate biomarkers, mostly from an unbiased discovery experiment (19 women), targeted quantitation was used to verify and validate candidate biomarkers in 2 independent cohorts from the SCOPE (SCreening fOr Pregnancy Endpoints) study. Candidate proteins were measured in plasma specimens collected at 19 to 21 weeks' gestation from 100 women who later developed preeclampsia and 200 women without preeclampsia recruited from Australia and New Zealand. Protein levels (n=25), age, and blood pressure were then analyzed using logistic regression to identify multimarker models (maximum 6 markers) that met predefined criteria: sensitivity ≥50% at 20% positive predictive value. These 44 algorithms were then tested in an independent European cohort (n=300) yielding 8 validated models. These 8 models detected 50% to 56% of preeclampsia cases in the training and validation sets; the detection rate for preterm preeclampsia cases was 80%. Validated models combine insulin-like growth factor acid labile subunit and soluble endoglin, supplemented with maximally 4 markers of placental growth factor, serine peptidase inhibitor Kunitz type 1, melanoma cell adhesion molecule, selenoprotein E and blood pressure. Predictive performances were maintained when exchanging mass spectrometry measurements with ELISA measurements for insulin-like growth factor acid labile subunit. In conclusion, we demonstrated that biomarker combinations centered on insulin-like growth factor acid labile subunit have the potential to predict preeclampsia in healthy nulliparous women. [ABSTRACT FROM AUTHOR]
- Published
- 2013
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42. Maternal Iodine Status and Associations with Birth Outcomes in Three Major Cities in the United Kingdom.
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Snart, Charles J. P., Keeble, Claire, Taylor, Elizabeth, Cade, Janet E., Stewart, Paul M., Zimmermann, Michael, Reid, Stephen, Threapleton, Diane E., Poston, Lucilla, Myers, Jenny E., Simpson, Nigel A. B., Greenwood, Darren C., and Hardie, Laura J.
- Abstract
Severe iodine deficiency in mothers is known to impair foetal development. Pregnant women in the UK may be iodine insufficient, but recent assessments of iodine status are limited. This study assessed maternal urinary iodine concentrations (UIC) and birth outcomes in three UK cities. Spot urines were collected from 541 women in London, Manchester and Leeds from 2004–2008 as part of the Screening for Pregnancy End points (SCOPE) study. UIC at 15 and 20 weeks' gestation was estimated using inductively coupled plasma-mass spectrometry (ICP-MS). Associations were estimated between iodine status (UIC and iodine-to-creatinine ratio) and birth weight, birth weight centile (primary outcome), small for gestational age (SGA) and spontaneous preterm birth. Median UIC was highest in Manchester (139 μg/L, 95% confidence intervals (CI): 126, 158) and London (130 μg/L, 95% CI: 114, 177) and lowest in Leeds (116 μg/L, 95% CI: 99, 135), but the proportion with UIC <50 µg/L was <20% in all three cities. No evidence of an association was observed between UIC and birth weight centile (−0.2% per 50 μg/L increase in UIC, 95% CI: −1.3, 0.8), nor with odds of spontaneous preterm birth (odds ratio = 1.00, 95% CI: 0.84, 1.20). Given the finding of iodine concentrations being insufficient according to World Health Organization (WHO) guidelines amongst pregnant women across all three cities, further studies may be needed to explore implications for maternal thyroid function and longer-term child health outcomes. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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43. Genetic predisposition to hypertension is associated with preeclampsia in European and Central Asian women
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Steinthorsdottir, Valgerdur, McGinnis, Ralph, Williams, Nicholas O., Stefansdottir, Lilja, Thorleifsson, Gudmar, Shooter, Scott, Fadista, João, Sigurdsson, Jon K., Auro, Kirsi M., Berezina, Galina, Borges, Maria-Carolina, Bumpstead, Suzannah, Bybjerg-Grauholm, Jonas, Colgiu, Irina, Dolby, Vivien A., Dudbridge, Frank, Engel, Stephanie M., Franklin, Christopher S., Frigge, Michael L., Frisbaek, Yr, Geirsson, Reynir T., Geller, Frank, Gretarsdottir, Solveig, Gudbjartsson, Daniel F., Harmon, Quaker, Hougaard, David Michael, Hegay, Tatyana, Helgadottir, Anna, Hjartardottir, Sigrun, Jääskeläinen, Tiina, Johannsdottir, Hrefna, Jonsdottir, Ingileif, Juliusdottir, Thorhildur, Kalsheker, Noor, Kasimov, Abdumadjit, Kemp, John P., Klungsøyr, Kari, Lee, Wai K., Melbye, Mads, Miedzybrodska, Zosia, Moffett, Ashley, Najmutdinova, Dilbar, Nishanova, Firuza, Olafsdottir, Thorunn, Perola, Markus, Poston, Lucilla, Prescott, Gordon, Saevarsdottir, Saedis, Salimbayeva, Damilya, Scaife, Paula Juliet, Skotte, Line, Staines-Urias, Eleonora, Stefansson, Olafur A., Sørensen, Karina Meden, Thomsen, Liv Cecilie Vestrheim, Tragante, Vinicius, Trogstad, Lill, Simpson, Nigel A. B., Aripova, Tamara, Casas, Juan P., Thorsteinsdottir, Unnur, Iversen, Ann-Charlotte, Feenstra, Bjarke, Lawlor, Deborah A., Boyd, Heather Allison, Magnus, Per, Zakhidova, Nodira, Svyatova, Gulnara, Stefansson, Kari, Laivuori, Hannele, Heinonen, Seppo, Kajantie, Eero, Kere, Juha, Kivinen, Katja, Pouta, Anneli, Morgan, Linda, Pipkin, Fiona Broughton, Walker, James J., Macphail, Sheila, Kilby, Mark, Habiba, Marwan, Williamson, Catherine, O’Shaughnessy, Kevin, O’Brien, Shaughn, Cameron, Alan, Redman, Christopher W. G., Farrall, Martin, Caulfield, Mark, and Dominiczak, Anna F.
- Subjects
2. Zero hunger ,45 ,692/699/75/243 ,631/208/205/2138 ,45/43 ,article ,692/699/2732 ,3. Good health - Abstract
Funder: EC | EC Seventh Framework Programm | FP7 Health (FP7-HEALTH - Specific Programme "Cooperation": Health); doi: https://doi.org/10.13039/100011272; Grant(s): 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, 282540, Funder: EC | EC Seventh Framework Programm | FP7 Health (FP7-HEALTH - Specific Programme "Cooperation": Health), Funder: U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Preeclampsia is a serious complication of pregnancy, affecting both maternal and fetal health. In genome-wide association meta-analysis of European and Central Asian mothers, we identify sequence variants that associate with preeclampsia in the maternal genome at ZNF831/20q13 and FTO/16q12. These are previously established variants for blood pressure (BP) and the FTO variant has also been associated with body mass index (BMI). Further analysis of BP variants establishes that variants at MECOM/3q26, FGF5/4q21 and SH2B3/12q24 also associate with preeclampsia through the maternal genome. We further show that a polygenic risk score for hypertension associates with preeclampsia. However, comparison with gestational hypertension indicates that additional factors modify the risk of preeclampsia.
44. Quantification of placental dysfunction in pregnancy complications
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ElMoursi, Mohamed Saad Elsayed, Simpson, Nigel A. B., Speirs, Valerie, Stahlschmidt, Jens, and Forbes, Karen
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618.3 - Abstract
Background The pathogenetic mechanisms behind placental dysfunction-related complications like preeclampsia and intrauterine growth restriction have remained perplexing till now, in part because of lack of well-defined structural and functional molecular characterisation. There is growing evidence that links trophoblast debris and the existence of syncytial nuclear aggregates (SNA) to the pathogenesis of gestational diseases. Characterisation and quantification of structural and functional parameters of placental dysfunction may give researchers a clearer picture of the mechanisms underlying the development of high risk pregnancy. Methods Placental samples were obtained from normal term pregnancies, preterm controls, as well as from pregnancies complicated by preeclampsia (PET), intrauterine growth restriction (IUGR) and PET-IUGR. Formalin-fixed, paraffin-embedded sections were visualised with H&E, stained using immunohistochemistry (IHC) and digitally scanned. Using stereological methodology, volumes of placental SNAs, trophoblasts, villi and capillaries were measured. Three dimensional (3D) volume reconstructions of terminal placental villi with SNAs and fibrinoid degenerations were created. IHC-labelled slides were analysed by image analysis algorithms. Differential expression of placental genes and miRNAs, hypothesised to regulate cell death in placental dysfunction, were quantified using RT-qPCR. BeWo cell lines were carried out for in vitro validation of the effects miRNAs regulating programmed cell death (PCD) using flow cytometry and western blotting. Results Specific morphometric patterns of villous, trophoblasts, SNA and capillary volumes were demonstrated with characteristic higher SNAs and lower capillary volumes in PET placentae with reciprocal patterns in IUGR placentae showing a negative correlation pattern between nuclear aggregates and capillary volumes. Image analysis of immune-labelled slides showed a higher autophagy marker expression in PET and a positive correlation to SNAs as well as a balanced reciprocal expression patterns with apoptosis. Moreover, miR-204 transfected BeWo cells showed a similar balanced reciprocal regulation of autophagy and apoptosis expressions. Conclusion We have demonstrated that applying stereology-based and image analysis on digitised placental sections can be useful in quantifying and dissecting structural and functional patterns in normal and abnormal placental function. 3D reconstruction model are a novel approach towards placental characterisation in normal and complicated pregnancies. The study also showed that miR-204 plays a vital role in the regulation of placental autophagy and apoptosis, critical in the pathophysiology of placental dysfunction.
- Published
- 2017
45. The prediction of preterm birth
- Author
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Bonney, Elizabeth Anne, Simpson, Nigel A. B., Myers, Jenny E., and Walker, James J.
- Subjects
618.3 - Abstract
Preterm birth is a persistent and expensive global health problem accounting for almost 8% of all live births in the UK. There are some effective interventions available however, due to the heterogeneous nature of the condition; it is still difficult to tailor the correct management for each woman. A major obstacle to the development of effective treatment strategies is a limited understanding of the molecular events preceding preterm labour. Using SCOPE, a prospectively acquired global cohort, this MD investigated the three areas of clinical risk factors, biomarker discovery using proteomic technology and directed candidate cytokine analysis. Clinical risk factor algorithms have been developed with the most clinically relevant group, those delivering less than 34 weeks, exhibiting the best predictive performance. The algorithm has an area under the ROC curve of 0.74, negative predictive value of 99%, with a positive predictive value of 33%. This is likely to be indicative of the best performance achievable using clinical data to predict preterm birth in a healthy nulliparous population. A proteomic discovery study was performed comparing term and preterm birth. The proteins that were discovered appeared to be mainly plasma proteins related to systemic inflammation and therefore were not specific enough as predictors of spontaneous preterm birth. As there is strong evidence to support a role for cytokines in the initiation of inflammation/infection-induced preterm labour, a panel of 27 were assessed as predictive markers for preterm birth. Of these, five cytokines (IL-4, IFN-γ, IL-6, IL-17α and MIP-1α) appeared to be the most sensitive with a predictive accuracy of 71.25%. The data from this thesis have provided further understanding into preterm birth and provides a pathway for future investigation into the prediction and prevention of spontaneous preterm birth.
- Published
- 2015
46. Modelling physiological reproductive inflammatory networks in vivo
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Field, Sarah Louise, Orsi, Nicolas M., Simpson, Nigel A. B., and Burns, Philip A.
- Subjects
616.07 - Abstract
The immune and reproductive systems have long been known to be inextricably linked, with components of immune pathways, particularly cytokines, mediating processes such as ovarian/menstrual cyclicity, endometrial remodelling, mating-induced immunomodulation, implantation, pregnancy, parturition and lactation. The nature of this involvement has often been investigated at the level of single mediators, with little consideration of the fact that cytokines are increasingly understood to function as complex networks. This study aimed to characterise inflammatory networks using both traditional and novel machine-learning Bayesian network-based methods in the context of keystone aspects of reproduction, viz., in the endometrial response to seminal plasma, cytokine:hormone interactions during lactation, and oocyte maturation following controlled ovarian hyperstimulation. ‘Traditional’ pathway analyses used to examine the murine endometrial response to seminal plasma revealed previously unidentified mediators and showed compartmentalised epithelium/stroma-specific responses. However, they proved ineffective in describing novel cytokine interactions. This led to the development a highly effective novel Bayesian network-based approach to explore cytokine:hormone networks during murine lactation. This revealed that prolactin, a putative potent immunomodulator, was far less influential than expected in vivo. The method also identified previously unknown cytokine interactions and described features such as synergy and antagonism. Further refinement of these network analyses as modified variational Bayesian state space models enabled the display of core, conserved subnetworks (communities) of human follicular fluid cytokines whose interactions varied with oocyte maturity. Moreover, these cytokine signatures also allowed the prediction of an oocytes’ fertilisability potential, with potential attendant benefits to assisted conception. This thesis represents the first endeavour to model inflammatory networks in vivo in any setting to date. It has revealed their central role, functional conservation and key features of cytokine interactions across a spectrum of reproductive processes. Further development of this methodology appears set to offer invaluable new insights into the complex immune signalling that underpins reproductive biology.
- Published
- 2014
47. MicroRNAs emerging coordinate with placental mammals alter pathways in endometrial epithelia important for endometrial function.
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Hume L, Edge JC, Tinning H, Wang D, Taylor AS, Ovchinnikov V, Geijer-Simpson AV, Vrljicak P, Brosens JJ, Lucas ES, Simpson NAB, Shillito J, Forbes K, O'Connell MJ, and Forde N
- Abstract
We tested the hypothesis that conserved placental mammal-specific microRNAs and their targets facilitate endometrial receptivity to implantation. Expression of miR-340-5p, -542-3p, and -671-5p was regulated by exposure of endometrial epithelial cells to progesterone (10 μg/ml) for 24 h coordinate with 1,713 of their predicted targets. Proteomic analysis of cells transfected with miRNA mimic/inhibitor (48 h: n = 3) revealed 1,745 proteins altered by miR-340-5p (mimic; 1,369, inhibitor; 376) of which 171 were predicted targets and P4-regulated. MiR-542-3p altered 2,353 (mimic; 1,378, inhibitor; 975) 100 which were mirDB predicted, including 46 P4-regulated. MiR-671-5p altered 1,744 proteins (mimic; 1,252, inhibitor; 492) 95 of which were predicted targets and 46 P4-regulated. All miRNAs were detected in luteal phase endometrial biopsies, irrespective of pregnancy outcomes. miR-340-5p expression increased in biopsies from individuals suffering previous and subsequent miscarriage compared to those with subsequent live birth. Dysfunction of these miRNAs and their targets contribute to endometrial-derived recurrent pregnancy loss., Competing Interests: The authors declare no competing interests., (© 2023 The Author(s).)
- Published
- 2023
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48. Placental growth factor measurements in the assessment of women with suspected Preeclampsia: A stratified analysis of the PARROT trial.
- Author
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Duhig KE, Myers JE, Gale C, Girling JC, Harding K, Sharp A, Simpson NAB, Tuffnell D, Seed PT, Shennan AH, and Chappell LC
- Subjects
- Adult, Biomarkers blood, Female, Gestational Age, Humans, Pre-Eclampsia epidemiology, Pregnancy, Pregnancy Outcome epidemiology, Single-Blind Method, Placenta Growth Factor blood, Pre-Eclampsia diagnosis
- Abstract
Objective: Placental growth factor testing decreases time to recognition of preeclampsia and may reduce severe maternal adverse outcomes. This analysis aims to describe the clinical phenotype of women by PlGF concentration, and to determine the mechanism(s) underpinning the reduction in severe maternal adverse outcomes in the PARROT trial, in order to inform how PlGF testing may be optimally used within clinical management algorithms., Study Design: This was a planned secondary analysis from the PARROT trial that compared revealed PlGF testing and management guidance with usual care in the assessment of women with suspected preterm preeclampsia., Main Outcome Measures: Maternal and perinatal outcomes following stratification of women by trial group, and measured PlGF concentration., Results: 1006 women were included. PlGF < 100 pg/ml identified women with more marked hypertension, increased adverse maternal outcomes and preterm delivery rates, and higher rates of small for gestational age infants. There was a reduction in adverse maternal outcomes in women whose results were revealed when PlGF levels were 12-100 pg/ml compared to usual care (3.8% vs 6.9%; aOR 0.15(95% CI 0.03-0.92). There was no significant difference in gestation at delivery between concealed or revealed groups in any PlGF categories., Conclusion: Low PlGF concentrations are associated with severe preeclampsia. The reduction in severe adverse maternal outcomes may be mediated through quicker diagnosis and intensive surveillance, as recommended by the management algorithm for those at increased risk. PlGF is particularly beneficial in those who test 12-100 pg/ml, as these may be women with silent multi-organ disease who otherwise may go undetected., (Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.)
- Published
- 2021
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49. Prenatal and Postpartum Maternal Iodide Intake from Diet and Supplements, Urinary Iodine and Thyroid Hormone Concentrations in a Region of the United Kingdom with Mild-to-Moderate Iodine Deficiency.
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Threapleton DE, Waiblinger D, Snart CJP, Taylor E, Keeble C, Ashraf S, Bi S, Ajjan R, Azad R, Hancock N, Mason D, Reid S, Cromie KJ, Alwan NA, Zimmermann M, Stewart PM, Simpson NAB, Wright J, Cade JE, Hardie LJ, and Greenwood DC
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- Adolescent, Adult, Diet statistics & numerical data, Dietary Supplements statistics & numerical data, Female, Humans, Postpartum Period physiology, Pregnancy statistics & numerical data, United Kingdom, Young Adult, Deficiency Diseases blood, Deficiency Diseases epidemiology, Deficiency Diseases urine, Iodides analysis, Iodine deficiency, Iodine urine, Maternal Nutritional Physiological Phenomena physiology, Thyroid Hormones blood
- Abstract
Iodine is essential for normal thyroid function, supporting healthy fetal and child development. Iodine requirements increase in pregnancy, but many women in regions without salt iodization have insufficient intakes. We explored associations between iodide intake and urinary iodine concentration (UIC), urinary iodine/creatinine ratio (I/Cr), thyroid stimulating hormone, thyroglobulin, free triiodothyronine, free thyroxine and palpable goiter in a region of mild-to-moderate iodine insufficiency. A total of 246 pregnant women aged 18-40 in Bradford, UK, joined the Health and Iodine in Babies (Hiba) study. They provided detailed information on diet and supplement use, urine and serum samples and were assessed for goiter at around 12, 26 and 36 weeks' gestation, and 6, 18 and 30 weeks postpartum. Dietary iodide intake from food and drink was estimated using six 24 h recalls. During pregnancy, median (IQR) dietary iodide intake was 101 µg/day (54, 142), with 42% from dairy and 9% from white fish. Including supplements, intake was 143 µg/day (94, 196), with 49% < UK reference nutrient intake (140 µg/day). Women with Pakistani heritage had 129 µg/day (87, 190) median total intake. Total intake during pregnancy was associated with 4% (95% CI: 1%, 7%) higher UIC, 5% (3%, 7%) higher I/Cr, 4% (2%, 6%) lower thyroglobulin and 21% (9%, 32%) lower odds of palpable goiter per 50 µg/day. This cohort consumed less iodide in pregnancy than UK and World Health Organization dietary recommendations. UIC, I/Cr and thyroglobulin were associated with intake. Higher intake was associated with fewer goiters. Because dairy was the dominant source of iodide, women following plant-based or low-dairy diets may be at particular risk of iodine insufficiency.
- Published
- 2021
- Full Text
- View/download PDF
50. Genetic predisposition to hypertension is associated with preeclampsia in European and Central Asian women.
- Author
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Steinthorsdottir V, McGinnis R, Williams NO, Stefansdottir L, Thorleifsson G, Shooter S, Fadista J, Sigurdsson JK, Auro KM, Berezina G, Borges MC, Bumpstead S, Bybjerg-Grauholm J, Colgiu I, Dolby VA, Dudbridge F, Engel SM, Franklin CS, Frigge ML, Frisbaek Y, Geirsson RT, Geller F, Gretarsdottir S, Gudbjartsson DF, Harmon Q, Hougaard DM, Hegay T, Helgadottir A, Hjartardottir S, Jääskeläinen T, Johannsdottir H, Jonsdottir I, Juliusdottir T, Kalsheker N, Kasimov A, Kemp JP, Kivinen K, Klungsøyr K, Lee WK, Melbye M, Miedzybrodska Z, Moffett A, Najmutdinova D, Nishanova F, Olafsdottir T, Perola M, Pipkin FB, Poston L, Prescott G, Saevarsdottir S, Salimbayeva D, Scaife PJ, Skotte L, Staines-Urias E, Stefansson OA, Sørensen KM, Thomsen LCV, Tragante V, Trogstad L, Simpson NAB, Aripova T, Casas JP, Dominiczak AF, Walker JJ, Thorsteinsdottir U, Iversen AC, Feenstra B, Lawlor DA, Boyd HA, Magnus P, Laivuori H, Zakhidova N, Svyatova G, Stefansson K, and Morgan L
- Subjects
- Adaptor Proteins, Signal Transducing genetics, Adult, Aged, Alpha-Ketoglutarate-Dependent Dioxygenase FTO genetics, Asia, Central epidemiology, Blood Pressure genetics, Case-Control Studies, Datasets as Topic, Europe epidemiology, Female, Fibroblast Growth Factor 5 genetics, Genetic Loci genetics, Genome-Wide Association Study, Humans, Hypertension, Pregnancy-Induced epidemiology, MDS1 and EVI1 Complex Locus Protein genetics, Middle Aged, Pre-Eclampsia epidemiology, Pregnancy, Prospective Studies, Genetic Predisposition to Disease, Hypertension, Pregnancy-Induced genetics, Multifactorial Inheritance, Pre-Eclampsia genetics
- Abstract
Preeclampsia is a serious complication of pregnancy, affecting both maternal and fetal health. In genome-wide association meta-analysis of European and Central Asian mothers, we identify sequence variants that associate with preeclampsia in the maternal genome at ZNF831/20q13 and FTO/16q12. These are previously established variants for blood pressure (BP) and the FTO variant has also been associated with body mass index (BMI). Further analysis of BP variants establishes that variants at MECOM/3q26, FGF5/4q21 and SH2B3/12q24 also associate with preeclampsia through the maternal genome. We further show that a polygenic risk score for hypertension associates with preeclampsia. However, comparison with gestational hypertension indicates that additional factors modify the risk of preeclampsia.
- Published
- 2020
- Full Text
- View/download PDF
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