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Tang ID, Mallia D, Yan Q, Pe'er I, Raja A, Salleb-Aouissi A, Wapner R. A Scoping Review of Preterm Birth Risk Factors. Am J Perinatol 2024; 41:e2804-e2817. [PMID: 37748506 DOI: 10.1055/s-0043-1775564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
Preterm birth is a major cause of neonatal morbidity and mortality, but its etiology and risk factors are poorly understood. We undertook a scoping review to illustrate the breadth of risk factors for preterm birth that have been reported in the literature. We conducted a search in the PubMed database for articles published in the previous 5 years. We determined eligibility for this scoping review by screening titles and abstracts, followed by full-text review. We extracted odds ratios and other measures of association for each identified risk factor in the articles. A total of 2,509 unique articles were identified from the search, of which 314 were eligible for inclusion in our final analyses. We summarized risk factors and their relative impacts in the following categories: Activity, Psychological, Medical History, Toxicology, Genetics, and Vaginal Microbiome. Many risk factors for preterm birth have been reported. It is challenging to synthesize findings given the multitude of isolated risk factors that have been studied, inconsistent definitions of risk factors and outcomes, and use of different covariates in analyses. Novel methods of analyzing large datasets may promote a more comprehensive understanding of the etiology of preterm birth and ability to predict the outcome. KEY POINTS: · Preterm birth is difficult to predict.. · Preterm birth has many diverse risk factors.. · Holistic approaches may yield new insights..
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Affiliation(s)
- Irene D Tang
- Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | - Daniel Mallia
- Department of Computer Science, Hunter College, New York, New York
| | - Qi Yan
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York
| | - Itsik Pe'er
- Department of Computer Science, Columbia University, New York, New York
| | - Anita Raja
- Department of Computer Science, Hunter College, New York, New York
| | | | - Ronald Wapner
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York
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Mead EC, Wang CA, Phung J, Fu JY, Williams SM, Merialdi M, Jacobsson B, Lye S, Menon R, Pennell CE. The Role of Genetics in Preterm Birth. Reprod Sci 2023; 30:3410-3427. [PMID: 37450251 PMCID: PMC10692032 DOI: 10.1007/s43032-023-01287-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 06/09/2023] [Indexed: 07/18/2023]
Abstract
Preterm birth (PTB), defined as the birth of a child before 37 completed weeks gestation, affects approximately 11% of live births and is the leading cause of death in children under 5 years. PTB is a complex disease with multiple risk factors including genetic variation. Much research has aimed to establish the biological mechanisms underlying PTB often through identification of genetic markers for PTB risk. The objective of this review is to present a comprehensive and updated summary of the published data relating to the field of PTB genetics. A literature search in PubMed was conducted and English studies related to PTB genetics were included. Genetic studies have identified genes within inflammatory, immunological, tissue remodeling, endocrine, metabolic, and vascular pathways that may be involved in PTB. However, a substantial proportion of published data have been largely inconclusive and multiple studies had limited power to detect associations. On the contrary, a few large hypothesis-free approaches have identified and replicated multiple novel variants associated with PTB in different cohorts. Overall, attempts to predict PTB using single "-omics" datasets including genomic, transcriptomic, and epigenomic biomarkers have been mostly unsuccessful and have failed to translate to the clinical setting. Integration of data from multiple "-omics" datasets has yielded the most promising results.
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Affiliation(s)
- Elyse C Mead
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, 2308, Australia
| | - Carol A Wang
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW, 2305, Australia
| | - Jason Phung
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW, 2305, Australia
- Department of Maternity and Gynaecology, John Hunter Hospital, Newcastle, NSW, 2305, Australia
| | - Joanna Yx Fu
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, 2308, Australia
| | - Scott M Williams
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Mario Merialdi
- Maternal Newborn Health Innovations, Geneva, PBC, Switzerland
| | - Bo Jacobsson
- Department of Obstetrics and Gynaecology, Institute of Clinical Science, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Obstetrics and Gynaecology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Genetics and Bioinformatics, Domain of Health Data and Digitalization, Institute of Public Health, Oslo, Norway
| | - Stephen Lye
- Lunenfeld Tanenbaum Research Institute, Toronto, Ontario, Canada
| | - Ramkumar Menon
- Department of Obstetrics and Gynecology, Division of Basic Science and Translational Research, University of Texas Medical Branch, Galveston, TX, USA
| | - Craig E Pennell
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, 2308, Australia.
- Hunter Medical Research Institute, Newcastle, NSW, 2305, Australia.
- Department of Maternity and Gynaecology, John Hunter Hospital, Newcastle, NSW, 2305, Australia.
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Li L, Chen Y, Lin Z, Lin W, Liu Y, Ou W, Zeng C, Ke L. Association of pre-pregnancy body mass index with adverse pregnancy outcome among first-time mothers. PeerJ 2020; 8:e10123. [PMID: 33088625 PMCID: PMC7568476 DOI: 10.7717/peerj.10123] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 09/16/2020] [Indexed: 12/15/2022] Open
Abstract
Background Studies have reported an increased risk of adverse pregnancy outcome associated with pre-pregnancy body mass index (BMI). However, the data on such associations in urban areas of southern Chinese women is limited, which drive us to clarify the associations of pre-pregnancy BMI and the risks of adverse pregnancy outcomes (preterm birth (PTB) and low birth weight (LBW)) and maternal health outcomes (gestational hypertension and cesarean delivery). Methods We performed a hospital-based case-control study including 3,864 Southern Chinese women who gave first birth to a live singleton infant from January 2015 to December 2015. PTB was stratified into three subgroups according to gestational age (extremely PTB, very PTB and moderate PTB). Besides, we combined birth weight and gestational age to dichotomise as being small for gestational age (SGA, less than the tenth percentile of weight for gestation) and non-small for gestational age (NSGA, large than the tenth percentile of weight for gestation), gestational week was also classified into categories of term, 34-36 week and below 34 week.. We then divided newborns into six groups: (1) term and NSGA; (2) 34–36 week gestation and NSGA; (3) below 34 week gestation and NSGA; (4) term and SAG; (5) 34–36 week gestation and SAG; (6) below 34 week gestation and SAG. Adjusted logistic regression models was used to estimate the odds ratios of adverse outcomes. Results Underweight women were more likely to give LBW (AOR = 1.44, 95% CI [1.11–1.89]), the similar result was seen in term and SAG as compared with term and NSAG (AOR = 1.78, 95% CI [1.45–2.17]), whereas underweight was significantly associated with a lower risk of gestational hypertension (AOR = 0.45, 95% CI [0.25–0.82) and caesarean delivery (AOR = 0.74, 95% CI [0.62–0.90]). The risk of extremely PTB is relatively higher among overweight and obese mothers in a subgroup analysis of PTB (AOR = 8.12, 95% CI [1.11–59.44]; AOR = 15.06, 95% CI [1.32–172.13], respectively). Both maternal overweight and obesity were associated with a greater risk of gestational hypertension (AOR = 1.71, 95% CI [1.06–2.77]; AOR = 5.54, 95% CI [3.02–10.17], respectively) and caesarean delivery (AOR = 1.91, 95% CI [1.53–2.38]; AOR = 1.85, 95% CI [1.21–2.82], respectively). Conclusions Our study suggested that maternal overweight and obesity were associated with a significantly higher risk of gestational hypertension, caesarean delivery and extremely PTB. Underweight was correlated with an increased risk of LBW and conferred a protective effect regarding the risk for gestational hypertension and caesarean delivery for the first-time mothers among Southern Chinese.
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Affiliation(s)
- Li Li
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.,Center for Reproductive Medicine/ Department of Fetal Medicine and Prenatal Diagnosis/BioResource Research Center, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.,Key Laboratory for Major Obstetric Diseases of Guangdong Provinces, Guangzhou, Guangdong, China
| | - Yanhong Chen
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.,Key Laboratory for Major Obstetric Diseases of Guangdong Provinces, Guangzhou, Guangdong, China
| | - Zhifeng Lin
- Department of Medical Record, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Weiyan Lin
- Department of Medical Record, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yangqi Liu
- Department of Medical Record, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Weilin Ou
- Department of Medical Record, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Chengli Zeng
- Department of Medical Record, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Li Ke
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.,Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, Guangzhou, Guangdong, China
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Association of induced abortion with preterm birth risk in first-time mothers. Sci Rep 2018; 8:5353. [PMID: 29599500 PMCID: PMC5876335 DOI: 10.1038/s41598-018-23695-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 03/19/2018] [Indexed: 01/17/2023] Open
Abstract
Women who have previously had an induced abortion (IA) before their first birth have been associated with preterm birth (PTB). However, previous studies on the PTB are inconsistent. Therefore, the aim of this study was to clarify the association between IA and PTB and low birth weight (LBW) for first-time mothers. A total of 3,684 Southern Chinese women who gave birth for the first time to a live singleton infants were recruited between January 2015 and December 2015 in the province of Guangdong, China. Univariable and multivariable analyses were conducted to determine whether IA was associated with PTB and LBW. Previous IA was not associated with increased risks of PTB or LBW, adjusted odds ratios were 0.80 (95% CI = 0.53 to 1.20) and 0.86 (95% CI = 0.57 to 1.31), respectively. Additionally, no significant associations were observed for infants born at before 37, before 32, and before 28 gestational weeks. And no significant associations were also observed for LBW measuring lower than 2500 grams and also measuring lower than 1500 grams. Our study suggested that a previous IA, as compared with women who reported no previous IA, does not increase the risk of PTB or LBW in subsequent pregnancy for the first-time mothers among Southern Chinese women.
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Strauss JF, Romero R, Gomez-Lopez N, Haymond-Thornburg H, Modi BP, Teves ME, Pearson LN, York TP, Schenkein HA. Spontaneous preterm birth: advances toward the discovery of genetic predisposition. Am J Obstet Gynecol 2018; 218:294-314.e2. [PMID: 29248470 PMCID: PMC5834399 DOI: 10.1016/j.ajog.2017.12.009] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Revised: 12/04/2017] [Accepted: 12/06/2017] [Indexed: 02/08/2023]
Abstract
Evidence from family and twin-based studies provide strong support for a significant contribution of maternal and fetal genetics to the timing of parturition and spontaneous preterm birth. However, there has been only modest success in the discovery of genes predisposing to preterm birth, despite increasing sophistication of genetic and genomic technology. In contrast, DNA variants associated with other traits/diseases have been identified. For example, there is overwhelming evidence that suggests that the nature and intensity of an inflammatory response in adults and children are under genetic control. Because inflammation is often invoked as an etiologic factor in spontaneous preterm birth, the question of whether spontaneous preterm birth has a genetic predisposition in the case of pathologic inflammation has been of long-standing interest to investigators. Here, we review various genetic approaches used for the discovery of preterm birth genetic variants in the context of inflammation-associated spontaneous preterm birth. Candidate gene studies have sought genetic variants that regulate inflammation in the mother and fetus; however, the promising findings have often not been replicated. Genome-wide association studies, an approach to the identification of chromosomal loci responsible for complex traits, have also not yielded compelling evidence for DNA variants predisposing to preterm birth. A recent genome-wide association study that included a large number of White women (>40,000) revealed that maternal loci contribute to preterm birth. Although none of these loci harbored genes directly related to innate immunity, the results were replicated. Another approach to identify DNA variants predisposing to preterm birth is whole exome sequencing, which examines the DNA sequence of protein-coding regions of the genome. A recent whole exome sequencing study identified rare mutations in genes encoding for proteins involved in the negative regulation (dampening) of the innate immune response (eg, CARD6, CARD8, NLRP10, NLRP12, NOD2, TLR10) and antimicrobial peptide/proteins (eg, DEFB1, MBL2). These findings support the concept that preterm labor, at least in part, has an inflammatory etiology, which can be induced by pathogens (ie, intraamniotic infection) or "danger signals" (alarmins) released during cellular stress or necrosis (ie, sterile intraamniotic inflammation). These findings support the notion that preterm birth has a polygenic basis that involves rare mutations or damaging variants in multiple genes involved in innate immunity and host defense mechanisms against microbes and their noxious products. An overlap among the whole exome sequencing-identified genes and other inflammatory conditions associated with preterm birth, such as periodontal disease and inflammatory bowel disease, was observed, which suggests a shared genetic substrate for these conditions. We propose that whole exome sequencing, as well as whole genome sequencing, is the most promising approach for the identification of functionally significant genetic variants responsible for spontaneous preterm birth, at least in the context of pathologic inflammation. The identification of genes that contribute to preterm birth by whole exome sequencing, or whole genome sequencing, promises to yield valuable population-specific biomarkers to identify the risk for spontaneous preterm birth and potential strategies to mitigate such a risk.
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Affiliation(s)
- Jerome F Strauss
- Department of Obstetrics and Gynecology, Virginia Commonwealth University School of Medicine, Richmond, VA; Department of Human and Molecular Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA.
| | - Roberto Romero
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute for Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD and Detroit, MI; Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI; Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI.
| | - Nardhy Gomez-Lopez
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute for Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD and Detroit, MI; Department of Obstetrics and Gynecology and the Department of Immunology, Microbiology and Biochemistry, Wayne State University School of Medicine, Detroit, MI
| | - Hannah Haymond-Thornburg
- Department of Obstetrics and Gynecology, Virginia Commonwealth University School of Medicine, Richmond, VA
| | - Bhavi P Modi
- Department of Obstetrics and Gynecology, University of British Columbia, Vancouver, BC, Canada
| | - Maria E Teves
- Department of Obstetrics and Gynecology, Virginia Commonwealth University School of Medicine, Richmond, VA
| | - Laurel N Pearson
- Department of Anthropology, Pennsylvania State University, University Park, PA
| | - Timothy P York
- Department of Obstetrics and Gynecology, Virginia Commonwealth University School of Medicine, Richmond, VA; Department of Human and Molecular Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA
| | - Harvey A Schenkein
- Department of Periodontics, Virginia Commonwealth University School of Dentistry, Richmond, VA
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