1
|
Yang Z, Luo X, Huang B, Jia X, Luan X, Shan N, An Z, Cao J, Qi H. Altered distribution of fatty acid exerting lipid metabolism and transport at the maternal-fetal interface in fetal growth restriction. Placenta 2023; 139:159-171. [PMID: 37406553 DOI: 10.1016/j.placenta.2023.05.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 05/17/2023] [Accepted: 05/31/2023] [Indexed: 07/07/2023]
Abstract
INTRODUCTION Fetal growth restriction (FGR) is a common complication of pregnancy. Lipid metabolism and distribution may contribute to the progression of FGR. However, the metabolism-related mechanisms of FGR remain unclear. The aim of this study was to identify metabolic profiles associated with FGR, as well as probable genes and signaling pathways. METHODS Metabolomic profiles at the maternal-fetal interface (including the placenta, maternal and fetal serum) from pregnant women with (n = 35) and without (n = 35) FGR were analyzed by gas chromatography-mass spectrometry (GC-MS). Combined with differentially expressed genes (DEGs) from the GSE35574 dataset, analysis was performed for differential metabolites, and identified by the Metabo Analyst dataset. Finally, the pathology and screened DEGs were further identified. RESULTS The results showed that fatty acids (FAs) accumulated in the placenta and decreased in fetal blood in FGR cases compared to controls. The linoleic acid metabolism was the focus of placental differential metabolites and genes enrichment analysis. In this pathway, phosphatidylcholine can interact with PLA2G2A and PLA2G4C, and 12(13)-EpOME can interact with CYP2J2. PLA2G2A and CYP2J2 were elevated, and PLA2G4C was decreased in the FGR placenta. DISCUSSION In conclusion, accumulation of FAs in the placental ischemic environments, may involve linoleic acid metabolism, which may be regulated by PLA2G2A, CYP2J2, and PLA2G4C. This study may contribute to understanding the underlying metabolic and molecular mechanisms of FGR.
Collapse
Affiliation(s)
- Zhongmei Yang
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; The Department of Obstetrics and Gynecology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, 400016, China; Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, 610072, China.
| | - Xiaofang Luo
- Reproductive Medicine Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, 400016, China
| | - Biao Huang
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, 400016, China
| | - Xiaoyan Jia
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, 400016, China
| | - Xiaojin Luan
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, 400016, China
| | - Nan Shan
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, 400016, China
| | - Zhongling An
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, 400016, China
| | - Jinfeng Cao
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Joint International Research Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, 400016, China
| | - Hongbo Qi
- The Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China; Chongqing Key Laboratory of Maternal and Fetal Medicine, Chongqing Medical University, Chongqing, 400016, China; Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China.
| |
Collapse
|
2
|
Li L, Ching WK, Liu ZP. Robust biomarker screening from gene expression data by stable machine learning-recursive feature elimination methods. Comput Biol Chem 2022; 100:107747. [DOI: 10.1016/j.compbiolchem.2022.107747] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 06/17/2022] [Accepted: 07/25/2022] [Indexed: 11/03/2022]
|
3
|
LaBella AL, Abraham A, Pichkar Y, Fong SL, Zhang G, Muglia LJ, Abbot P, Rokas A, Capra JA. Accounting for diverse evolutionary forces reveals mosaic patterns of selection on human preterm birth loci. Nat Commun 2020; 11:3731. [PMID: 32709900 PMCID: PMC7382462 DOI: 10.1038/s41467-020-17258-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 06/19/2020] [Indexed: 02/02/2023] Open
Abstract
Currently, there is no comprehensive framework to evaluate the evolutionary forces acting on genomic regions associated with human complex traits and contextualize the relationship between evolution and molecular function. Here, we develop an approach to test for signatures of diverse evolutionary forces on trait-associated genomic regions. We apply our method to regions associated with spontaneous preterm birth (sPTB), a complex disorder of global health concern. We find that sPTB-associated regions harbor diverse evolutionary signatures including conservation, excess population differentiation, accelerated evolution, and balanced polymorphism. Furthermore, we integrate evolutionary context with molecular evidence to hypothesize how these regions contribute to sPTB risk. Finally, we observe enrichment in signatures of diverse evolutionary forces in sPTB-associated regions compared to genomic background. By quantifying multiple evolutionary forces acting on sPTB-associated regions, our approach improves understanding of both functional roles and the mosaic of evolutionary forces acting on loci. Our work provides a blueprint for investigating evolutionary pressures on complex traits.
Collapse
Affiliation(s)
- Abigail L LaBella
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, 37235, USA
| | - Abin Abraham
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, 37235, USA
- Vanderbilt University Medical Center, Vanderbilt University, Nashville, TN, 37232, USA
| | - Yakov Pichkar
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, 37235, USA
| | - Sarah L Fong
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, 37235, USA
| | - Ge Zhang
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
- The Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
- March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, OH, 45267, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA
| | - Louis J Muglia
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
- The Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
- March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, OH, 45267, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA
| | - Patrick Abbot
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, 37235, USA
| | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, 37235, USA.
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, 37235, USA.
| | - John A Capra
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, 37235, USA.
- Departments of Biomedical Informatics and Computer Science, Vanderbilt Genetics Institute, Center for Structural Biology, Vanderbilt University, Nashville, TN, 37235, USA.
| |
Collapse
|
4
|
Liu GJ, He JR, Kuang YS, Fan XJ, Li WD, Lu JH, Xia XY, Liu XD, Chen NN, Mai WB, Xia HM, Qiu X. Associations of maternal PLA2G4C and PLA2G4D polymorphisms with the risk of spontaneous preterm birth in a Chinese population. Mol Med Rep 2017; 15:3607-3614. [PMID: 28440406 PMCID: PMC5436275 DOI: 10.3892/mmr.2017.6475] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Accepted: 02/22/2017] [Indexed: 01/05/2023] Open
Abstract
Preterm birth is the leading cause of mortality and morbidity in infants. Its etiology is multifactorial with genes and immune homeostasis. The authors investigated whether prostaglandin (PG) synthesis related single nucleotide polymorphisms (SNPs) PLA2G4C rs1366442 and PLA2G4D rs4924618 were associated with the risk of spontaneous preterm birth (SPTB) in a Chinese population of 114 cases of SPTB and 250 controls of term delivery. The risk associations were determined by odds ratios (ORs) and their 95% confidence intervals (CIs) calculated using multivariate logistic regression. Homology modeling was performed to elucidate potential mechanism of the SNP function. The maternal AT/TT genotype of PLA2G4D rs4924618 was associated with a reduced risk of SPTB (OR, 0.61; 95% CI, 0.37‑0.99), while no significant association between PLA2G4C rs1366442 and SPTB risk was identified. Structure and sequence analysis revealed that the amino acid substitution introduced by this SNP located at the conserved central core of the catalytic domain of cytosolic phospholipase A2 δ and was close to the active site. These findings suggested that the polymorphism of PLA2G4D rs4924618 may have a protective influence on the SPTB susceptibility in a Chinese population, supporting a role for genetics in the association between PG synthesis and preterm birth.
Collapse
Affiliation(s)
- Guang-Jian Liu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, P.R. China
| | - Jian-Rong He
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, P.R. China
| | - Ya-Shu Kuang
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, P.R. China
| | - Xue-Jiao Fan
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, P.R. China
| | - Wei-Dong Li
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, P.R. China
| | - Jin-Hua Lu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, P.R. China
| | - Xiao-Yan Xia
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, P.R. China
| | - Xiao-Dan Liu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, P.R. China
| | - Nian-Nian Chen
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, P.R. China
| | - Wei-Bi Mai
- Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, P.R. China
| | - Hui-Min Xia
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, P.R. China
| | - Xiu Qiu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, P.R. China
| |
Collapse
|
5
|
Brubaker D, Liu Y, Wang J, Tan H, Zhang G, Jacobsson B, Muglia L, Mesiano S, Chance MR. Finding lost genes in GWAS via integrative-omics analysis reveals novel sub-networks associated with preterm birth. Hum Mol Genet 2016; 25:5254-5264. [PMID: 27664809 PMCID: PMC6078636 DOI: 10.1093/hmg/ddw325] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Revised: 08/26/2016] [Accepted: 09/21/2016] [Indexed: 01/01/2023] Open
Abstract
Maternal genome influences associate with up to 40% of spontaneous preterm births (PTB). Multiple genome wide association studies (GWAS) have been completed to identify genetic variants associated with PTB. Disappointingly, no highly significant SNPs have replicated in independent cohorts so far. We developed an approach combining protein-protein interaction (PPI) network data with tissue specific gene expression data to "find" SNPs of modest significance to identify candidate genes of functional importance that would otherwise be overlooked. This approach is based on the assumption that "high-ranking" SNPs falling short of genome wide significance may nevertheless indicate genes that have substantial biological value in understanding PTB. We mapped highly-ranked candidate SNPs from a meta-analysis of PTB-GWAS to coding genes and developed a PPI network enriched with PTB-SNP carrying genes. This network was scored with gene expression data from term and preterm myometrium to identify subnetworks of PTB-SNP associated genes coordinately expressed with labour onset in myometrial tissue. Our analysis consistently identified significant sub-networks associated with the interacting transcription factors MEF2C and TWIST1, genes not previously associated with PTB, both of which regulate processes clearly relevant to birth timing. Other genes in the significant sub-networks were also associated with inflammatory pathways, as well as muscle function and ion channels. Gene expression level dysregulation was confirmed for eight of these networks by qRT-PCR in an independent set of term and pre-term subjects. Our method identifies novel genes dysregulated in PTB and provides a generalized framework to identify GWAS SNPs that would otherwise be overlooked.
Collapse
Affiliation(s)
- Douglas Brubaker
- Center for Proteomics and Bioinformatics, and Department of Nutrition, School of Medicine
| | - Yu Liu
- Center for Proteomics and Bioinformatics, and Department of Nutrition, School of Medicine
| | - Junye Wang
- Department of Reproductive Biology and Department of Obstetrics and Gynecology, University Hospitals Case Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Huiqing Tan
- Department of Reproductive Biology and Department of Obstetrics and Gynecology, University Hospitals Case Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Ge Zhang
- Division of Human Genetics
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Bo Jacobsson
- Department of Obstetrics and Gynecology, Sahlgrenska Academy, Sahlgrenska University Hospital/Östra, Gothenburg, Sweden; Norwegian Institute of Public Health, Oslo, Norway
| | - Louis Muglia
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Sam Mesiano
- Department of Reproductive Biology and Department of Obstetrics and Gynecology, University Hospitals Case Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Mark R. Chance
- Center for Proteomics and Bioinformatics, and Department of Nutrition, School of Medicine
| |
Collapse
|
6
|
Norwitz ER, Bonney EA, Snegovskikh VV, Williams MA, Phillippe M, Park JS, Abrahams VM. Molecular Regulation of Parturition: The Role of the Decidual Clock. Cold Spring Harb Perspect Med 2015; 5:a023143. [PMID: 25918180 PMCID: PMC4632866 DOI: 10.1101/cshperspect.a023143] [Citation(s) in RCA: 75] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
The timing of birth is a critical determinant of perinatal outcome. Despite intensive research, the molecular mechanisms responsible for the onset of labor both at term and preterm remain unclear. It is likely that a "parturition cascade" exists that triggers labor at term, that preterm labor results from mechanisms that either prematurely stimulate or short-circuit this cascade, and that these mechanisms involve the activation of proinflammatory pathways within the uterus. It has long been postulated that the fetoplacental unit is in control of the timing of birth through a "placental clock." We suggest that it is not a placental clock that regulates the timing of birth, but rather a "decidual clock." Here, we review the evidence in support of the endometrium/decidua as the organ primarily responsible for the timing of birth and discuss the molecular mechanisms that prime this decidual clock.
Collapse
Affiliation(s)
- Errol R Norwitz
- Department of Obstetrics and Gynecology, Tufts Medical Center, Boston, Massachusetts 02111 Mother Infant Research Institute (MIRI), Tufts University School of Medicine, Boston, Massachusetts 02110
| | - Elizabeth A Bonney
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Vermont, Burlington, Vermont 05405
| | - Victoria V Snegovskikh
- Division of Reproductive Endocrinology, Department of Obstetrics and Gynecology, Women and Infants Hospital of Rhode Island, Providence, Rhode Island 02905
| | - Michelle A Williams
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115
| | - Mark Phillippe
- Vincent Center for Reproductive Biology, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, Massachusetts 02114
| | - Joong Shin Park
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul 110-799, Korea
| | - Vikki M Abrahams
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, New Haven, Connecticut 06510
| |
Collapse
|
7
|
Abstract
The molecular mechanisms controlling human birth timing at term, or resulting in preterm birth, have been the focus of considerable investigation, but limited insights have been gained over the past 50 years. In part, these processes have remained elusive because of divergence in reproductive strategies and physiology shown by model organisms, making extrapolation to humans uncertain. Here, we summarize the evolution of progesterone signaling and variation in pregnancy maintenance and termination. We use this comparative physiology to support the hypothesis that selective pressure on genomic loci involved in the timing of parturition have shaped human birth timing, and that these loci can be identified with comparative genomic strategies. Previous limitations imposed by divergence of mechanisms provide an important new opportunity to elucidate fundamental pathways of parturition control through increasing availability of sequenced genomes and associated reproductive physiology characteristics across diverse organisms.
Collapse
Affiliation(s)
- Kayleigh A Swaggart
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229
| | - Mihaela Pavlicev
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229 Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio 45229
| | - Louis J Muglia
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229 Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio 45229
| |
Collapse
|
8
|
Abstract
Adaptive evolution has provided us with a unique set of characteristics that define us as humans, including morphological, physiological and cellular changes. Yet, natural selection provides no assurances that adaptation is without human health consequences; advantageous mutations will increase in frequency so long as there is a net gain in fitness. As such, the current incidence of human disease can depend on previous adaptations. Here, I review genome-wide and gene-specific studies in which adaptive evolution has played a role in shaping human genetic disease. In addition to the disease consequences of adaptive phenotypes, such as bipedal locomotion and resistance to certain pathogens, I review evidence that adaptive mutations have influenced the frequency of linked disease alleles through genetic hitchhiking. Taken together, the links between human adaptation and disease highlight the importance of their combined influence on functional variation within the human genome and offer opportunities to discover and characterize such variation.
Collapse
Affiliation(s)
- Justin C. Fay
- 4444 Forest Park Ave. Rm 5526, St. Louis, MO 63108, United States. Tel.: + 1 314 747 1808; fax: + 1 314 362 2156.
| |
Collapse
|
9
|
Schug TT, Erlebacher A, Leibowitz S, Ma L, Muglia LJ, Rando OJ, Rogers JM, Romero R, vom Saal FS, Wise DL. Fetal programming and environmental exposures: implications for prenatal care and preterm birth. Ann N Y Acad Sci 2012; 1276:37-46. [PMID: 23278645 PMCID: PMC4154493 DOI: 10.1111/nyas.12003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Sponsored by the New York Academy of Sciences and Cincinnati Children's Hospital Medical Center, with support from the National Institute of Environmental Health Sciences (NIEHS), the National Institute on Drug Abuse (NIDA), and Life Technologies, "Fetal Programming and Environmental Exposures: Implications for Prenatal Care and Preterm Birth" was held on June 11-12, 2012 at the New York Academy of Sciences in New York City. The meeting, comprising individual talks and panel discussions, highlighted basic, clinical, and translational research approaches, and highlighted the need for specialized testing of drugs, consumer products, and industrial chemicals, with a view to the unique impacts these can have during gestation. Speakers went on to discuss many other factors that affect prenatal development, from genetics to parental diet, revealing the extraordinary sensitivity of the developing fetus.
Collapse
Affiliation(s)
- Thaddeus T Schug
- National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709, USA.
| | | | | | | | | | | | | | | | | | | |
Collapse
|