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Saker Z, Rizk M, Merie D, Nabha RH, Pariseau NJ, Nabha SM, Makki MI. Insight into brain sex differences of typically developed infants and brain pathologies: A systematic review. Eur J Neurosci 2024. [PMID: 38693604 DOI: 10.1111/ejn.16364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 03/12/2024] [Accepted: 04/02/2024] [Indexed: 05/03/2024]
Abstract
The continually advancing landscape of neuroscientific and imaging research has broadened our comprehension of sex differences encoded in the human brain, expanding from the hypothalamus and sexual behaviour to encompass the entire brain, including its diverse lobes, structures, and functions. However, less is known about sex differences in the brains of neonates and infants, despite their relevance to various sex-linked diseases that develop early in life. In this review, we provide a synopsis of the literature evidence on sex differences in the brains of neonates and infants at the morphological, structural and network levels. We also briefly overview the present evidence on the sex bias in some brain disorders affecting infants and neonates.
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Affiliation(s)
- Zahraa Saker
- Research Department, Al-Rassoul Al-Aazam Hospital, Beirut, Lebanon
| | - Mahdi Rizk
- School of Health Sciences, Modern University for Business and Science, Beirut, Lebanon
| | - Diana Merie
- Neuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
| | | | - Nicole J Pariseau
- Department of Pediatrics-Neurology, University of Michigan, Ann Arbor, Michigan, USA
| | - Sanaa M Nabha
- Neuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
| | - Malek I Makki
- Laboratory of Functional Neurosciences and Pathologies, University of Picardy Jules Verne, Amiens, France
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Yun HJ, Nagaraj UD, Grant PE, Merhar SL, Ou X, Lin W, Acheson A, Grewen K, Kline-Fath BM, Im K. A Prospective Multi-Institutional Study Comparing the Brain Development in the Third Trimester between Opioid-Exposed and Nonexposed Fetuses Using Advanced Fetal MR Imaging Techniques. AJNR Am J Neuroradiol 2024; 45:218-223. [PMID: 38216298 DOI: 10.3174/ajnr.a8101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 11/07/2023] [Indexed: 01/14/2024]
Abstract
BACKGROUND AND PURPOSE While the adverse neurodevelopmental effects of prenatal opioid exposure on infants and children in the United States are well described, the underlying causative mechanisms have yet to be fully understood. This study aims to compare quantitative volumetric and surface-based features of the fetal brain between opioid-exposed fetuses and unexposed controls by using advanced MR imaging processing techniques. MATERIALS AND METHODS This is a multi-institutional IRB-approved study in which pregnant women with and without opioid use during the current pregnancy were prospectively recruited to undergo fetal MR imaging. A total of 14 opioid-exposed (31.4 ± 2.3 weeks of gestation) and 15 unexposed (31.4 ± 2.4 weeks) fetuses were included. Whole brain volume, cortical plate volume, surface area, sulcal depth, mean curvature, and gyrification index were computed as quantitative features by using our fetal brain MR imaging processing pipeline. RESULTS After correcting for gestational age, fetal sex, maternal education, polysubstance use, high blood pressure, and MR imaging acquisition site, all of the global morphologic features were significantly lower in the opioid-exposed fetuses compared with the unexposed fetuses, including brain volume, cortical volume, cortical surface area, sulcal depth, cortical mean curvature, and gyrification index. In regional analysis, the opioid-exposed fetuses showed significantly decreased surface area and sulcal depth in the bilateral Sylvian fissures, central sulci, parieto-occipital fissures, temporal cortices, and frontal cortices. CONCLUSIONS In this small cohort, prenatal opioid exposure was associated with altered fetal brain development in the third trimester. This adds to the growing body of literature demonstrating that prenatal opioid exposure affects the developing brain.
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Affiliation(s)
- Hyuk Jin Yun
- From the Division of Newborn Medicine (H.J.Y, P.E.G., K.I.), Boston Children's Hospital, Boston, MA
- Harvard Medical School (H.J.Y, P.E.G., K.I.), Boston, MA
| | - Usha D Nagaraj
- Department of Radiology and Medical Imaging (U.D.N., B.M.K.-F.), Cincinnati Children's Hospital Medical Center, Cincinnati, OH
- University of Cincinnati College of Medicine (U.D.N., S.L.M., B.M.K.-F.), Cincinnati, OH
| | - P Ellen Grant
- From the Division of Newborn Medicine (H.J.Y, P.E.G., K.I.), Boston Children's Hospital, Boston, MA
- Harvard Medical School (H.J.Y, P.E.G., K.I.), Boston, MA
- Department of Radiology (P.E.G.), Boston Children's Hospital, Boston, MA
| | - Stephanie L Merhar
- University of Cincinnati College of Medicine (U.D.N., S.L.M., B.M.K.-F.), Cincinnati, OH
- Division of Neonatology, Perinatal Institute (S.L.M.), Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Xiawei Ou
- Departments of Radiology and Pediatrics (X.O.), University of Arkansas for Medical Sciences, Little Rock, AR
| | - Weili Lin
- Department of Radiology (W.L.), University of North Carolina, Chappel Hill, NC
| | - Ashley Acheson
- Department of Psychiatry and Behavioral Sciences (A.A.), University of Arkansas for Medical Sciences, Little Rock, AR
| | - Karen Grewen
- Department of Psychiatry (K.G.), University of North Carolina, Chappel Hill, NC
| | - Beth M Kline-Fath
- Department of Radiology and Medical Imaging (U.D.N., B.M.K.-F.), Cincinnati Children's Hospital Medical Center, Cincinnati, OH
- University of Cincinnati College of Medicine (U.D.N., S.L.M., B.M.K.-F.), Cincinnati, OH
| | - Kiho Im
- From the Division of Newborn Medicine (H.J.Y, P.E.G., K.I.), Boston Children's Hospital, Boston, MA
- Harvard Medical School (H.J.Y, P.E.G., K.I.), Boston, MA
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Abaci Turk E, Yun HJ, Feldman HA, Lee JY, Lee HJ, Bibbo C, Zhou C, Tamen R, Grant PE, Im K. Association between placental oxygen transport and fetal brain cortical development: a study in monochorionic diamniotic twins. Cereb Cortex 2024; 34:bhad383. [PMID: 37885155 PMCID: PMC11032198 DOI: 10.1093/cercor/bhad383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/25/2023] [Accepted: 09/26/2023] [Indexed: 10/28/2023] Open
Abstract
Normal cortical growth and the resulting folding patterns are crucial for normal brain function. Although cortical development is largely influenced by genetic factors, environmental factors in fetal life can modify the gene expression associated with brain development. As the placenta plays a vital role in shaping the fetal environment, affecting fetal growth through the exchange of oxygen and nutrients, placental oxygen transport might be one of the environmental factors that also affect early human cortical growth. In this study, we aimed to assess the placental oxygen transport during maternal hyperoxia and its impact on fetal brain development using MRI in identical twins to control for genetic and maternal factors. We enrolled 9 pregnant subjects with monochorionic diamniotic twins (30.03 ± 2.39 gestational weeks [mean ± SD]). We observed that the fetuses with slower placental oxygen delivery had reduced volumetric and surface growth of the cerebral cortex. Moreover, when the difference between placenta oxygen delivery increased between the twin pairs, sulcal folding patterns were more divergent. Thus, there is a significant relationship between placental oxygen transport and fetal brain cortical growth and folding in monochorionic twins.
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Affiliation(s)
- Esra Abaci Turk
- Department of Pediatrics, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
| | - Hyuk Jin Yun
- Department of Pediatrics, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
| | - Henry A Feldman
- Department of Pediatrics, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Institutional Centers for Clinical and Translational Research, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
| | - Joo Young Lee
- Department of Pediatrics, Hanyang University College of Medicine, 222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea
| | - Hyun Ju Lee
- Department of Pediatrics, Hanyang University College of Medicine, 222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea
| | - Carolina Bibbo
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115, United States
| | - Cindy Zhou
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
| | - Rubii Tamen
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
| | - Patricia Ellen Grant
- Department of Pediatrics, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
- Department of Radiology, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
| | - Kiho Im
- Department of Pediatrics, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States
- Division of Newborn Medicine, Boston Children’s Hospital, 300 Longwood Ave, Boston, MA 02115, United States
- Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, 401 Park Dr, Boston, MA 02115, United States
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Steger C, Moatti C, Payette K, De Silvestro A, Nguyen TD, Coraj S, Yakoub N, Natalucci G, Kottke R, Tuura R, Knirsch W, Jakab A. Characterization of dynamic patterns of human fetal to neonatal brain asymmetry with deformation-based morphometry. Front Neurosci 2023; 17:1252850. [PMID: 38130698 PMCID: PMC10734644 DOI: 10.3389/fnins.2023.1252850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 11/03/2023] [Indexed: 12/23/2023] Open
Abstract
Introduction Despite established knowledge on the morphological and functional asymmetries in the human brain, the understanding of how brain asymmetry patterns change during late fetal to neonatal life remains incomplete. The goal of this study was to characterize the dynamic patterns of inter-hemispheric brain asymmetry over this critically important developmental stage using longitudinally acquired MRI scans. Methods Super-resolution reconstructed T2-weighted MRI of 20 neurotypically developing participants were used, and for each participant fetal and neonatal MRI was acquired. To quantify brain morphological changes, deformation-based morphometry (DBM) on the longitudinal MRI scans was utilized. Two registration frameworks were evaluated and used in our study: (A) fetal to neonatal image registration and (B) registration through a mid-time template. Developmental changes of cerebral asymmetry were characterized as (A) the inter-hemispheric differences of the Jacobian determinant (JD) of fetal to neonatal morphometry change and the (B) time-dependent change of the JD capturing left-right differences at fetal or neonatal time points. Left-right and fetal-neonatal differences were statistically tested using multivariate linear models, corrected for participants' age and sex and using threshold-free cluster enhancement. Results Fetal to neonatal morphometry changes demonstrated asymmetry in the temporal pole, and left-right asymmetry differences between fetal and neonatal timepoints revealed temporal changes in the temporal pole, likely to go from right dominant in fetal to a bilateral morphology in neonatal timepoint. Furthermore, the analysis revealed right-dominant subcortical gray matter in neonates and three clusters of increased JD values in the left hemisphere from fetal to neonatal timepoints. Discussion While these findings provide evidence that morphological asymmetry gradually emerges during development, discrepancies between registration frameworks require careful considerations when using DBM for longitudinal data of early brain development.
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Affiliation(s)
- Céline Steger
- Center for MR Research, University Children’s Hospital Zurich, University of Zurich, Zürich, Switzerland
- Children’s Research Center, University Children’s Hospital Zurich, University of Zurich, Zurich, Switzerland
- Pediatric Heart Center, Division of Pediatric Cardiology, University Children’s Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology, Zurich, Switzerland
| | - Charles Moatti
- Center for MR Research, University Children’s Hospital Zurich, University of Zurich, Zürich, Switzerland
- Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland
| | - Kelly Payette
- Center for MR Research, University Children’s Hospital Zurich, University of Zurich, Zürich, Switzerland
- Children’s Research Center, University Children’s Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Alexandra De Silvestro
- Center for MR Research, University Children’s Hospital Zurich, University of Zurich, Zürich, Switzerland
- Children’s Research Center, University Children’s Hospital Zurich, University of Zurich, Zurich, Switzerland
- Pediatric Heart Center, Division of Pediatric Cardiology, University Children’s Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Thi Dao Nguyen
- Newborn Research, Department of Neonatology, University of Zurich and University Hospital Zurich, Zurich, Switzerland
| | - Seline Coraj
- Larsson-Rosenquist Foundation Center for Neurodevelopment, Growth and Nutrition of the Newborn, Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Ninib Yakoub
- Larsson-Rosenquist Foundation Center for Neurodevelopment, Growth and Nutrition of the Newborn, Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Giancarlo Natalucci
- Newborn Research, Department of Neonatology, University of Zurich and University Hospital Zurich, Zurich, Switzerland
- Larsson-Rosenquist Foundation Center for Neurodevelopment, Growth and Nutrition of the Newborn, Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Raimund Kottke
- Department of Diagnostic Imaging, University Children’s Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Ruth Tuura
- Center for MR Research, University Children’s Hospital Zurich, University of Zurich, Zürich, Switzerland
- Children’s Research Center, University Children’s Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Walter Knirsch
- Children’s Research Center, University Children’s Hospital Zurich, University of Zurich, Zurich, Switzerland
- Pediatric Heart Center, Division of Pediatric Cardiology, University Children’s Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Andras Jakab
- Center for MR Research, University Children’s Hospital Zurich, University of Zurich, Zürich, Switzerland
- Children’s Research Center, University Children’s Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology, Zurich, Switzerland
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5
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Namburete AIL, Papież BW, Fernandes M, Wyburd MK, Hesse LS, Moser FA, Ismail LC, Gunier RB, Squier W, Ohuma EO, Carvalho M, Jaffer Y, Gravett M, Wu Q, Lambert A, Winsey A, Restrepo-Méndez MC, Bertino E, Purwar M, Barros FC, Stein A, Noble JA, Molnár Z, Jenkinson M, Bhutta ZA, Papageorghiou AT, Villar J, Kennedy SH. Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years. Nature 2023; 623:106-114. [PMID: 37880365 PMCID: PMC10620088 DOI: 10.1038/s41586-023-06630-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 09/08/2023] [Indexed: 10/27/2023]
Abstract
Maturation of the human fetal brain should follow precisely scheduled structural growth and folding of the cerebral cortex for optimal postnatal function1. We present a normative digital atlas of fetal brain maturation based on a prospective international cohort of healthy pregnant women2, selected using World Health Organization recommendations for growth standards3. Their fetuses were accurately dated in the first trimester, with satisfactory growth and neurodevelopment from early pregnancy to 2 years of age4,5. The atlas was produced using 1,059 optimal quality, three-dimensional ultrasound brain volumes from 899 of the fetuses and an automated analysis pipeline6-8. The atlas corresponds structurally to published magnetic resonance images9, but with finer anatomical details in deep grey matter. The between-study site variability represented less than 8.0% of the total variance of all brain measures, supporting pooling data from the eight study sites to produce patterns of normative maturation. We have thereby generated an average representation of each cerebral hemisphere between 14 and 31 weeks' gestation with quantification of intracranial volume variability and growth patterns. Emergent asymmetries were detectable from as early as 14 weeks, with peak asymmetries in regions associated with language development and functional lateralization between 20 and 26 weeks' gestation. These patterns were validated in 1,487 three-dimensional brain volumes from 1,295 different fetuses in the same cohort. We provide a unique spatiotemporal benchmark of fetal brain maturation from a large cohort with normative postnatal growth and neurodevelopment.
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Affiliation(s)
- Ana I L Namburete
- Oxford Machine Learning in Neuroimaging Laboratory, Department of Computer Science, University of Oxford, Oxford, UK.
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.
- Department of Engineering Science, University of Oxford, Oxford, UK.
| | - Bartłomiej W Papież
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Michelle Fernandes
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
- MRC Lifecourse Epidemiology Centre, Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
- Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - Madeleine K Wyburd
- Oxford Machine Learning in Neuroimaging Laboratory, Department of Computer Science, University of Oxford, Oxford, UK
| | - Linde S Hesse
- Oxford Machine Learning in Neuroimaging Laboratory, Department of Computer Science, University of Oxford, Oxford, UK
- Department of Engineering Science, University of Oxford, Oxford, UK
| | - Felipe A Moser
- Oxford Machine Learning in Neuroimaging Laboratory, Department of Computer Science, University of Oxford, Oxford, UK
| | - Leila Cheikh Ismail
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
| | - Robert B Gunier
- Center for Environmental Research and Children's Health, School of Public Health, University of California, Berkeley, CA, USA
| | - Waney Squier
- Department of Neuropathology, John Radcliffe Hospital, Oxford, UK
| | - Eric O Ohuma
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
- Maternal, Adolescent, Reproductive and Child Health Centre, London School of Hygiene and Tropical Medicine, London, UK
| | - Maria Carvalho
- Department of Obstetrics and Gynaecology, Faculty of Health Sciences, Aga Khan University Hospital, Nairobi, Kenya
| | - Yasmin Jaffer
- Department of Family and Community Health, Ministry of Health, Muscat, Sultanate of Oman
| | - Michael Gravett
- Departments of Obstetrics and Gynecology and of Global Health, University of Washington, Seattle, WA, USA
| | - Qingqing Wu
- School of Public Health, Peking University, Beijing, China
| | - Ann Lambert
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - Adele Winsey
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
| | | | - Enrico Bertino
- Dipartimento di Scienze Pediatriche e dell' Adolescenza, SCDU Neonatologia, Universita di Torino, Turin, Italy
| | - Manorama Purwar
- Nagpur INTERGROWTH-21st Research Centre, Ketkar Hospital, Nagpur, India
| | - Fernando C Barros
- Programa de Pós-Graduação em Saúde e Comportamento, Universidade Católica de Pelotas, Pelotas, Brazil
| | - Alan Stein
- Department of Psychiatry, University of Oxford, Oxford, UK
- African Health Research Institute, KwaZulu-Natal, South Africa
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - J Alison Noble
- Department of Engineering Science, University of Oxford, Oxford, UK
| | - Zoltán Molnár
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Mark Jenkinson
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
- Australian Institute for Machine Learning, Department of Computer Science, University of Adelaide, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Zulfiqar A Bhutta
- Center for Global Child Health, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Aris T Papageorghiou
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - José Villar
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - Stephen H Kennedy
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
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