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Deng W, Chen L, Wen B, Wang X, Wang L, Yang F, Chen Y, Bao J, Zhang G, Ji K, Liu H. MicroRNA-206 functions as a potential oligonucleotide therapeutics in preterm birth. Chin Med J (Engl) 2024; 137:1000-1002. [PMID: 38273441 DOI: 10.1097/cm9.0000000000002876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Indexed: 01/27/2024] Open
Affiliation(s)
- Wenfeng Deng
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China
| | - Lina Chen
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China
- School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China
| | - Bolun Wen
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China
| | - Xiaodi Wang
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China
| | - Lele Wang
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China
| | - Fan Yang
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China
- School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China
| | - Yunshan Chen
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China
| | - Junjie Bao
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China
| | - Guozheng Zhang
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China
| | - Kaiyuan Ji
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China
| | - Huishu Liu
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China
- School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China
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Moloney RA, Palliser HK, Dyson RM, Pavy CL, Berry M, Hirst JJ, Shaw JC. Ongoing effects of preterm birth on the dopaminergic and noradrenergic pathways in the frontal cortex and hippocampus of guinea pigs. Dev Neurobiol 2024; 84:93-110. [PMID: 38526217 DOI: 10.1002/dneu.22937] [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: 08/10/2023] [Revised: 03/04/2024] [Accepted: 03/07/2024] [Indexed: 03/26/2024]
Abstract
Children born preterm have an increased likelihood of developing neurobehavioral disorders such as attention-deficit hyperactivity disorder (ADHD) and anxiety. These disorders have a sex bias, with males having a higher incidence of ADHD, whereas anxiety disorder tends to be more prevalent in females. Both disorders are underpinned by imbalances to key neurotransmitter systems, with dopamine and noradrenaline in particular having major roles in attention regulation and stress modulation. Preterm birth disturbances to neurodevelopment may affect this neurotransmission in a sexually dimorphic manner. Time-mated guinea pig dams were allocated to deliver by preterm induction of labor (gestational age 62 [GA62]) or spontaneously at term (GA69). The resultant offspring were randomized to endpoints as neonates (24 h after term-equivalence age) or juveniles (corrected postnatal day 40, childhood equivalence). Relative mRNA expressions of key dopamine and noradrenaline pathway genes were examined in the frontal cortex and hippocampus and quantified with real-time PCR. Myelin basic protein and neuronal nuclei immunostaining were performed to characterize the impact of preterm birth. Within the frontal cortex, there were persisting reductions in the expression of dopaminergic pathway components that occurred in preterm males only. Conversely, preterm-born females had increased expression of key noradrenergic receptors and a reduction of the noradrenergic transporter within the hippocampus. This study demonstrated that preterm birth results in major changes in dopaminergic and noradrenergic receptor, transporter, and synthesis enzyme gene expression in a sex- and region-based manner that may contribute to the sex differences in susceptibility to neurobehavioral disorders. These findings highlight the need for the development of sex-based treatments for improving these conditions.
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Affiliation(s)
- Roisin A Moloney
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, Australia
- Hunter Medical Research Institute, Mothers and Babies Research Centre, Newcastle, Australia
| | - Hannah K Palliser
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, Australia
- Hunter Medical Research Institute, Mothers and Babies Research Centre, Newcastle, Australia
| | - Rebecca M Dyson
- Department of Paediatrics and Child Health, University of Otago, Wellington, New Zealand
- Biomedical Research Unit, University of Otago, Wellington, New Zealand
| | - Carlton L Pavy
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, Australia
- Hunter Medical Research Institute, Mothers and Babies Research Centre, Newcastle, Australia
| | - Max Berry
- Department of Paediatrics and Child Health, University of Otago, Wellington, New Zealand
- Biomedical Research Unit, University of Otago, Wellington, New Zealand
| | - Jonathon J Hirst
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, Australia
- Hunter Medical Research Institute, Mothers and Babies Research Centre, Newcastle, Australia
| | - Julia C Shaw
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, Australia
- Hunter Medical Research Institute, Mothers and Babies Research Centre, Newcastle, Australia
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Wu D, Ru N, Wang YC, Ma GX, Shi TY, Xiong SH, You AJ, Wang L, Hu LH, Li ZS, Zou WB, Liao Z. Genetic Factors Associated With Adverse Pregnancy Outcomes in Chronic Pancreatitis. Clin Transl Gastroenterol 2024; 15:e00691. [PMID: 38334943 DOI: 10.14309/ctg.0000000000000691] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 02/02/2024] [Indexed: 02/10/2024] Open
Abstract
INTRODUCTION The effects of genetic factors on pregnancy outcomes in chronic pancreatitis (CP) patients remain unclear. We evaluated the impacts of clinical features and mutations in main CP-susceptibility genes ( SPINK1 , PRSS1 , CTRC , and CFTR ) on pregnancy outcomes in Chinese CP patients. METHODS This was a prospective cohort study with 14-year follow-up. The sample comprised female CP patients with documented pregnancy and known genetic backgrounds. Adverse pregnancy outcomes were compared between patients with and without gene mutations. Univariate and multivariate analyses were performed to determine the impact factors for adverse pregnancy outcomes. RESULTS Totally, 160 female CP patients with a pregnancy history were enrolled; 59.4% of patients carried pathogenic mutations in CP-susceptibility genes. Adverse pregnancy outcomes occurred in 38 patients (23.8%); the prevalence of adverse outcomes was significantly higher in those harboring gene mutations than those without (30.5% vs 13.8%, P = 0.015). Notably, the rates of preterm delivery (12.6% vs 3.1%, P = 0.036) and abortion (17.9% vs 4.6%, P = 0.013) were remarkably higher in patients with gene mutations (especially SPINK1 mutations) than those without. In multivariate analyses, both CP-susceptibility gene mutations (odds ratio, 2.52; P = 0.033) and SPINK1 mutations (odds ratio, 2.60; P = 0.037) significantly increased the risk of adverse pregnancy outcomes. Acute pain attack during pregnancy was another risk factor for adverse pregnancy outcomes. DISCUSSION Pathogenic mutations in CP-susceptibility genes, especially SPINK1 , were independently related to adverse pregnancy outcomes in CP patients. Significant attention should be paid to pregnant females harboring CP-susceptibility gene mutations (ClinicalTrials.gov: NCT06055595).
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Affiliation(s)
- Di Wu
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, China
- Shanghai Institute of Pancreatic Diseases, Shanghai, China
| | - Nan Ru
- Department of Gastroenterology, The First Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China
- Department of Gastroenterology, 987th Hospital of the Joint Logistics Support Force of the People's Liberation Army, Baoji, Shaanxi, China
| | - Yuan-Chen Wang
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, China
- Shanghai Institute of Pancreatic Diseases, Shanghai, China
| | - Guo-Xiu Ma
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, China
- Shanghai Institute of Pancreatic Diseases, Shanghai, China
| | - Tian-Yu Shi
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Si-Huai Xiong
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, China
- Shanghai Institute of Pancreatic Diseases, Shanghai, China
| | - Ai-Jun You
- Changhai Clinical Research Unit, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Lei Wang
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Liang-Hao Hu
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Zhao-Shen Li
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, China
- Shanghai Institute of Pancreatic Diseases, Shanghai, China
| | - Wen-Bin Zou
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, China
- Shanghai Institute of Pancreatic Diseases, Shanghai, China
| | - Zhuan Liao
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, China
- Shanghai Institute of Pancreatic Diseases, Shanghai, China
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Underhill LA, Mennella JM, Tollefson GA, Uzun A, Lechner BE. Transcriptomic analysis delineates preterm prelabor rupture of membranes from preterm labor in preterm fetal membranes. BMC Med Genomics 2024; 17:72. [PMID: 38443884 PMCID: PMC10916314 DOI: 10.1186/s12920-024-01841-7] [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: 08/22/2023] [Accepted: 02/28/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Globally, preterm birth remains the leading cause of death in children younger than 5 years old. Spontaneous preterm birth is comprised of two events that may or may not occur simultaneously: preterm labor and preterm prelabor rupture of membranes (PPROM). To further explore the concept that spontaneous preterm birth can result from the initializing of two separate but overlapping pathological events, we compared fetal membrane tissue from preterm labor deliveries to fetal tissue from preterm labor with PPROM deliveries. We hypothesized that the fetal membrane tissue from preterm labor with PPROM cases will have an RNA-seq profile divergent from the fetal membrane tissue from preterm labor controls. METHODS Chorioamnion, separated into amnion and chorion, was collected from eight gestationally age-matched cases and controls within 15 min of birth, and analyzed using RNA sequencing. Pathway enrichment analyses and functional annotations of differentially expressed genes were performed using KEGG and Gene Ontogeny Pathway enrichment analyses. RESULTS A total of 1466 genes were differentially expressed in the amnion, and 484 genes were differentially expressed in the chorion (log2 fold change > 1, FDR < 0.05) in cases (preterm labor with PPROM), versus controls (preterm labor only). In the amnion, the most significantly enriched (FDR < 0.01) KEGG pathway among down-regulated genes was the extracellular matrix receptor interaction pathway. Seven of the most significantly enriched pathways were comprised of multiple genes from the COL family, including COL1A, COL3A1, COL4A4, and COL4A6. In the chorion, the most significantly enriched KEGG pathways in up-regulated genes were chemokine, NOD receptor, Toll-like receptor, and cytokine-cytokine receptor signaling pathways. Similarly, KEGG pathway enrichment analysis for up-regulated genes in the amnion included three inflammatory pathways: cytokine-cytokine interaction, TNF signaling and the CXCL family. Six genes were significantly up regulated in chorionic tissue discriminated between cases (preterm labor with PPROM) and controls (preterm labor only) including GBP5, CXCL9, ALPL, S100A8, CASP5 and MMP25. CONCLUSIONS In our study, transcriptome analysis of preterm fetal membranes revealed distinct differentially expressed genes for PPROM, separate from preterm labor. This study is the first to report transcriptome data that reflects the individual pathophysiology of amnion and chorion tissue from PPROM deliveries.
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Affiliation(s)
- Lori A Underhill
- Warren Alpert Medical School at Brown University, Providence, RI, USA.
- Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA.
- Women and Infants Hospital, 101 Dudley St, 02905, Providence, RI, USA.
| | - J M Mennella
- Warren Alpert Medical School at Brown University, Providence, RI, USA
- Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA
| | - G A Tollefson
- Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA
| | - A Uzun
- Warren Alpert Medical School at Brown University, Providence, RI, USA
- Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA
| | - B E Lechner
- Warren Alpert Medical School at Brown University, Providence, RI, USA
- Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA
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Wu W, Luo D, Ji C, Diao F, Wu L, Ruan X, Gu C, Luo M. Interaction effects of MTHFR C677T and A1298C polymorphisms with maternal glycated haemoglobin levels on adverse birth outcomes. Diabetes Metab Res Rev 2024; 40:e3794. [PMID: 38517730 DOI: 10.1002/dmrr.3794] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 02/02/2024] [Accepted: 02/29/2024] [Indexed: 03/24/2024]
Abstract
AIMS The role of maternal genetic factors in the association between high glycated haemoglobin (HbA1c) levels and adverse birth outcomes remains unclear. MATERIALS AND METHODS In this study, the maternal HbA1c levels of 5108 normoglycemic pregnant women in China were measured, and A1298C and C677T polymorphisms in the methylenetetrahydrofolate reductase (MTHFR) gene were genotyped. RESULTS Elevated HbA1c levels during the second trimester were associated with increased risks of macrosomia, large-for-gestational age (LGA), preterm birth (PTB), and reduced gestational age (p < 0.05). Pregnant women with MTHFR A1298C AA or C677T CT + TT genotypes were susceptible to adverse pregnancy outcomes related to HbA1c levels. Among pregnant women with the A1298C AA genotype, each standard deviation (SD) increase in HbA1c levels increased the risk of PTB by 1.32-times and reduced the gestational age by 0.11 weeks (p < 0.05). For MTHFR C677T CC + TT genotype carriers, higher HbA1c levels were associated with 1.49-, 1.24-, and 1.23-times increased risks of macrosomia, LGA, and PTB, respectively (p < 0.05). A U-shaped curve for PTB risk in relation to HbA1c levels was observed among the C677T CC + TT participants, with a cut-off value of 4.58%. Among subjects with the A1298C AA genotype combined with the C677T CT + TT genotype, each SD increase in HbA1c levels was associated with 1.40 and 1.37-times increased risks of LGA and PTB, respectively. CONCLUSIONS Our findings highlight the importance of glycaemic control during pregnancy and the potential impact of genetic factors on birth outcomes. However, further large-scale studies are required to confirm these findings.
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Affiliation(s)
- Weixiang Wu
- Department of Clinical Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
| | - Dan Luo
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Cunwei Ji
- Department of Clinical Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
| | - Fuqiang Diao
- Department of Clinical Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
| | - Lihong Wu
- Department of Clinical Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
| | - Xiaolin Ruan
- Department of Clinical Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
| | - Chunming Gu
- Department of Clinical Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
| | - Mingyong Luo
- Department of Clinical Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
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Huang S, Cai S, Ling L, Zhang W, Xiao H, Yu D, Zhong X, Tao P, Luo Y. Investigating the molecular mechanism of traditional Chinese medicine for the treatment of placental syndromes by influencing inflammatory cytokines using the Mendelian randomization and molecular docking technology. Front Endocrinol (Lausanne) 2024; 14:1290766. [PMID: 38362587 PMCID: PMC10868387 DOI: 10.3389/fendo.2023.1290766] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 12/29/2023] [Indexed: 02/17/2024] Open
Abstract
Introduction Placental syndromes, which include pregnancy loss, preterm birth, gestational diabetes mellitus (GDM), and hypertensive disorders in pregnancy (HDP), have a strong association with disorder inflammatory reactions. Nonetheless, the exact causal relationship has not been established. This study aims to investigate the causal relationship between placental syndromes and inflammatory cytokines utilizing Mendelian randomization (MR). Additionally, we examined the interaction between small molecular compounds derived from traditional Chinese medicine and inflammatory cytokines using molecular docking method. Methods After obtaining the data of inflammatory cytokines and placental syndromes, as well as establishing single nucleotide polymorphisms (SNPs), we employed the inverse variance weighted (IVW) method to assess the causal relationship. We also accessed the heterogeneity and the horizontal pleiotropy of these data. The "ClusterProfiler" R package was utilized for Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) term analyses. The protein-protein interaction (PPI) network was constructed using STRING database. AutoDock Vina software was used for molecular docking, and Discovery Studio 2019 was used for visualization purposes. Results We found that the growth regulated oncogene A (GROA) and interleukin-9 (IL-9) were associated with the development of pregnancy hypertension, whereas interleukin-10 (IL-10) and hepatocyte growth factor (HGF) were linked to the occurrence of preeclampsia. Moreover, there were correlations observed between interleukin-18 (IL-18), IL-10, macrophage colony-stimulating factor (MCSF), and platelet-derived growth factor BB (PDGFbb) in cases of chronic hypertension combined with pregnancy (CHP). Additionally, macrophage migration inhibitory factor (MIF) exhibited a connection with GDM, and TNF related apoptosis inducing ligand (TRAIL) demonstrated a causal relationship with preterm birth. It is plausible to suggest that interleukin-1β (IL-1β) might contribute to the promotion of pregnancy loss. All of the binding free energy values of small molecular compounds with inflammatory cytokines were below -5.0 kcal/mol. Furthermore, all of the RMSD values were less than 2. Conclusions GROA, IL-1β, IL-9, IL-10, IL-18, MIF, MCSF, HGF, PDGFbb and TRAIL were found to be causally associated with placental syndromes. Molecular docking analysis revealed that small molecular compounds, such as puerarin, magnolol, atractylenolide I, paeoniflorin, tumulosic acid and wogonin, are closely bound to these inflammatory cytokines.
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Affiliation(s)
- Shan Huang
- Medical Intensive Care Unit, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Shuangming Cai
- Medical Intensive Care Unit, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Lin Ling
- Department of Rehabilitation, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Wenni Zhang
- Medical Intensive Care Unit, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Huanshun Xiao
- Medical Intensive Care Unit, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Danfeng Yu
- Medical Intensive Care Unit, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Xuan Zhong
- Medical Intensive Care Unit, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Pei Tao
- Medical Intensive Care Unit, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Yiping Luo
- Medical Intensive Care Unit, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
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Hernáez Á, Skåra KH, Page CM, Mitter VR, Hernández MH, Magnus P, Njølstad PR, Andreassen OA, Corfield EC, Havdahl A, Næss Ø, Brumpton B, Åsvold BO, Lawlor DA, Fraser A, Magnus MC. Parental genetically predicted liability for coronary heart disease and risk of adverse pregnancy outcomes: a cohort study. BMC Med 2024; 22:35. [PMID: 38273336 PMCID: PMC10809500 DOI: 10.1186/s12916-023-03223-9] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 12/08/2023] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Adverse pregnancy outcomes (APO) may unmask or exacerbate a woman's underlying risk for coronary heart disease (CHD). We estimated associations of maternal and paternal genetically predicted liability for CHD with lifelong risk of APOs. We hypothesized that associations would be found for women, but not their male partners (negative controls). METHODS We studied up to 83,969 women (and up to 55,568 male partners) from the Norwegian Mother, Father and Child Cohort Study or the Trøndelag Health Study with genotyping data and lifetime history of any APO in their pregnancies (1967-2019) in the Medical Birth Registry of Norway (miscarriage, stillbirth, hypertensive disorders of pregnancy, gestational diabetes, small for gestational age, large for gestational age, and spontaneous preterm birth). Maternal and paternal genetic risk scores (GRS) for CHD were generated using 148 gene variants (p-value < 5 × 10-8, not in linkage disequilibrium). Associations between GRS for CHD and each APO were determined using logistic regression, adjusting for genomic principal components, in each cohort separately, and combined using fixed effects meta-analysis. RESULTS One standard deviation higher GRS for CHD in women was related to increased risk of any hypertensive disorders of pregnancy (odds ratio [OR] 1.08, 95% confidence interval [CI] 1.05-1.10), pre-eclampsia (OR 1.08, 95% CI 1.05-1.11), and small for gestational age (OR 1.04, 95% CI 1.01-1.06). Imprecise associations with lower odds of large for gestational age (OR 0.98, 95% CI 0.96-1.00) and higher odds of stillbirth (OR 1.04, 95% CI 0.98-1.11) were suggested. These findings remained consistent after adjusting for number of total pregnancies and the male partners' GRS and restricting analyses to stable couples. Associations for other APOs were close to the null. There was weak evidence of an association of paternal genetically predicted liability for CHD with spontaneous preterm birth in female partners (OR 1.02, 95% CI 0.99-1.05), but not with other APOs. CONCLUSIONS Hypertensive disorders of pregnancy, small for gestational age, and stillbirth may unmask women with a genetically predicted propensity for CHD. The association of paternal genetically predicted CHD risk with spontaneous preterm birth in female partners needs further exploration.
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Affiliation(s)
- Álvaro Hernáez
- Centre for Fertility and Health, Norwegian Institute of Public Health, Skøyen, 0213, PO 222, Oslo, Norway.
- Blanquerna School of Health Sciences, Universitat Ramon Llull, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain.
| | - Karoline H Skåra
- Centre for Fertility and Health, Norwegian Institute of Public Health, Skøyen, 0213, PO 222, Oslo, Norway
- Department of Community Medicine and Global Health, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Christian M Page
- Centre for Fertility and Health, Norwegian Institute of Public Health, Skøyen, 0213, PO 222, Oslo, Norway
- Department of Physical Health and Ageing, Division for Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Vera R Mitter
- Pharmacoepidemiology and Drug Safety Research Group, Department of Pharmacy, and PharmaTox Strategic Research Initiative, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
| | - Marta H Hernández
- Centre for Fertility and Health, Norwegian Institute of Public Health, Skøyen, 0213, PO 222, Oslo, Norway
- Blanquerna School of Health Sciences, Universitat Ramon Llull, Barcelona, Spain
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Skøyen, 0213, PO 222, Oslo, Norway
| | - Pål R Njølstad
- Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research, NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Elizabeth C Corfield
- Center for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
- Nic Waals Institute, Lovisenberg Diakonale Hospital, Oslo, Norway
| | - Alexandra Havdahl
- Center for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
- Nic Waals Institute, Lovisenberg Diakonale Hospital, Oslo, Norway
- ROMENTA Research Center, Department of Psychology, P, University of Oslo, Oslo, Norway
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Øyvind Næss
- Institute of Health and Society, University of Oslo, Oslo, Norway
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Ben Brumpton
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
- Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Bjørn Olav Åsvold
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
- Department of Endocrinology, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Deborah A Lawlor
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Abigail Fraser
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Maria Christine Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Skøyen, 0213, PO 222, Oslo, Norway
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Savino F, Sardo A, Gambarino S, Dini M, Clemente A, Pau A, Galliano I, Bergallo M. Leptin and Leptin Receptor Polymorphisms in Infants and Their Parents: Correlation with Preterm Birth. Genes (Basel) 2024; 15:139. [PMID: 38275620 PMCID: PMC10815013 DOI: 10.3390/genes15010139] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 01/10/2024] [Accepted: 01/18/2024] [Indexed: 01/27/2024] Open
Abstract
It has been proven that single-nucleotide polymorphisms (SNPs) in LEP and LEPR genes could predispose individuals to an increased risk of pregnancy adverse outcomes (PAOs) such as recurrent pregnancy loss (RPL) and pre-eclampsia. Preterm birth (PTB) is the leading cause of infant mortality. We decided to investigate the correlation between PTB and LEP and LEPR SNPs. The study cohort included families who underwent spontaneous PTB and control samples of families who had at-term-born (≥37 weeks of gestational age) children. Swabs were performed by rubbing the sticky end for about 30 s on the gum and on the inside of the cheek, allowing us to collect the flaking cells of the oral mucosa. Genotyping of the three SNPs-LEPRA668G, LEPG2548A and A19G-was carried out via an ARMS-MAMA real-time PCR procedure, as previously described. Regarding LEPG2548A, we found that the most expressed genotype in infants both in the preterm and the at-term group was AG; however, we did not discover any statistically significant difference (p = 0.97). Considering LEPA19G, none among the infants and parents were found to carry the AA genotype. No statistically significant differences were found between children, mothers and fathers belonging to preterm and at-term groups. We did not find a statistically significant association in newborns and their mother, but our results show a statistical correlation with the LEPRA668G genotype GG of the father. This fact can contribute to defining genetic risk factors for PTB. Further studies are certainly needed to better clarify the role of genetics in influencing preterm delivery.
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Affiliation(s)
- Francesco Savino
- Early Infancy Special Care Unit, Regina Margherita Children Hospital, A.O.U. Città della Salute e della Scienza di Torino, 10126 Torino, Italy; (F.S.); (A.S.)
| | - Allegra Sardo
- Early Infancy Special Care Unit, Regina Margherita Children Hospital, A.O.U. Città della Salute e della Scienza di Torino, 10126 Torino, Italy; (F.S.); (A.S.)
| | - Stefano Gambarino
- Department of Public Health and Pediatric Sciences, Immunopathology Laboratory, Medical School, University of Turin, 10126 Turin, Italy; (S.G.); (M.D.); (A.C.); (A.P.); (I.G.)
| | - Maddalena Dini
- Department of Public Health and Pediatric Sciences, Immunopathology Laboratory, Medical School, University of Turin, 10126 Turin, Italy; (S.G.); (M.D.); (A.C.); (A.P.); (I.G.)
| | - Anna Clemente
- Department of Public Health and Pediatric Sciences, Immunopathology Laboratory, Medical School, University of Turin, 10126 Turin, Italy; (S.G.); (M.D.); (A.C.); (A.P.); (I.G.)
| | - Anna Pau
- Department of Public Health and Pediatric Sciences, Immunopathology Laboratory, Medical School, University of Turin, 10126 Turin, Italy; (S.G.); (M.D.); (A.C.); (A.P.); (I.G.)
| | - Ilaria Galliano
- Department of Public Health and Pediatric Sciences, Immunopathology Laboratory, Medical School, University of Turin, 10126 Turin, Italy; (S.G.); (M.D.); (A.C.); (A.P.); (I.G.)
| | - Massimiliano Bergallo
- Department of Public Health and Pediatric Sciences, Immunopathology Laboratory, Medical School, University of Turin, 10126 Turin, Italy; (S.G.); (M.D.); (A.C.); (A.P.); (I.G.)
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Wang C, Wang YJ, Ying L, Wong RJ, Quaintance CC, Hong X, Neff N, Wang X, Biggio JR, Mesiano S, Quake SR, Alvira CM, Cornfield DN, Stevenson DK, Shaw GM, Li J. Integrative analysis of noncoding mutations identifies the druggable genome in preterm birth. Sci Adv 2024; 10:eadk1057. [PMID: 38241369 PMCID: PMC10798565 DOI: 10.1126/sciadv.adk1057] [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] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 12/21/2023] [Indexed: 01/21/2024]
Abstract
Preterm birth affects ~10% of pregnancies in the US. Despite familial associations, identifying at-risk genetic loci has been challenging. We built deep learning and graphical models to score mutational effects at base resolution via integrating the pregnant myometrial epigenome and large-scale patient genomes with spontaneous preterm birth (sPTB) from European and African American cohorts. We uncovered previously unidentified sPTB genes that are involved in myometrial muscle relaxation and inflammatory responses and that are regulated by the progesterone receptor near labor onset. We studied genomic variants in these genes in our recruited pregnant women administered progestin prophylaxis. We observed that mutation burden in these genes was predictive of responses to progestin treatment for preterm birth. To advance therapeutic development, we screened ~4000 compounds, identified candidate molecules that affect our identified genes, and experimentally validated their therapeutic effects on regulating labor. Together, our integrative approach revealed the druggable genome in preterm birth and provided a generalizable framework for studying complex diseases.
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Affiliation(s)
- Cheng Wang
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, Bakar Computational Health Sciences Institute, Parker Institute for Cancer Immunotherapy, and Department of Neurology, School of Medicine, University of California, San Francisco, CA, USA
| | - Yuejun Jessie Wang
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, Bakar Computational Health Sciences Institute, Parker Institute for Cancer Immunotherapy, and Department of Neurology, School of Medicine, University of California, San Francisco, CA, USA
| | - Lihua Ying
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Ronald J. Wong
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Cecele C. Quaintance
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Xiumei Hong
- Center on the Early Life Origins of Disease, Department of Population Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Norma Neff
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Xiaobin Wang
- Center on the Early Life Origins of Disease, Department of Population Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Joseph R. Biggio
- Department of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
- Department of Obstetrics and Gynecology, Ochsner Health, New Orleans, LA, USA
| | - Sam Mesiano
- Department of Reproductive Biology, Case Western Reserve University and Department of Obstetrics and Gynecology, University Hospitals of Cleveland, Cleveland, OH, USA
| | - Stephen R. Quake
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Department of Bioengineering, Stanford University School of Medicine, Stanford, CA, USA
| | - Cristina M. Alvira
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - David N. Cornfield
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - David K. Stevenson
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Gary M. Shaw
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Jingjing Li
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, Bakar Computational Health Sciences Institute, Parker Institute for Cancer Immunotherapy, and Department of Neurology, School of Medicine, University of California, San Francisco, CA, USA
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Moagi I, Mabasa L, Maputle SM, Ndwandwe D, Raliphaswa NS, Netshikweta LM, Malwela T, Samie A. The impact of DNA methylation as a factor of Adverse Pregnancy and Birth Outcomes (APBOs): a systematic review protocol. Syst Rev 2024; 13:4. [PMID: 38167510 PMCID: PMC10759365 DOI: 10.1186/s13643-023-02416-w] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 12/05/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Deoxyribonucleic acid (DNA) methylation is one of the epigenetic modifications that has gained a lot of interest as a factor influencing fetal programming and as a biomarker for adverse pregnancy and birth outcomes (APBOs). Epidemiological studies have demonstrated that DNA methylation can result in adverse pregnancy and birth outcomes (APBOs) including miscarriage, intrauterine growth restriction (IUGR), low birth weight (LBW), sepsis, and preterm birth (PTB), which may later result in diseases in adulthood. However, the mechanism by which DNA methylation influences these APBOs remains unclear. The systematic review will assess the association between global and gene-specific DNA methylation with adverse pregnancy outcomes. METHOD The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) 2020 checklist will be followed when conducting this systematic review. To develop the search strategy the PI(E)COS (population, intervention/exposure, comparator/control, outcome, and study designs) framework will be followed. Thus far, the research team has retrieved 4721 from Cochrane Library, PubMed, Web of Sciences, and MEDLINE. Out of these, 584 studies have been screened for eligibility, and approximately 124 studies meet the inclusion criteria. Pending the search results identified from the grey literature. For identification of unpublished studies in journals indexed in electronic databases, Google Scholar will be used. I.M and A.S will separately extract data from the articles and screen them, if there are any disagreements between I.M and A.S, then the L.M will resolve them. The methodological quality and bias risk of the included studies will be evaluated using the Critical Appraisal Skill Programme CASP) checklist. [Formula: see text] and [Formula: see text] alpha = 0.10 statistic will be used for assessing statistical heterogeneity between studies. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach will be used to assess and grade the overall quality of extracted data. ETHICS AND DISSEMINATION Ethical approval is not required. The systematic review will assess available literature on possible associations between DNA methylation with adverse pregnancy and birth outcomes (APBOs) including LBW, IUGR, miscarriage, sepsis, and PTB. The findings could help guide future research assessing DNA methylation and other APBOs. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRCRD42022370647.
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Affiliation(s)
- Innocent Moagi
- Faculty of Sciences, Engineering and Agriculture, Department of Biochemistry and Microbiology, University of Venda, Private Bag X5050, Thohoyandou, 0950, South Africa.
| | - Lawrence Mabasa
- Biomedical Research and Innovation Platform (BRIP), South Africa Medical Research Council, Tygerberg, P.O Box 19070, Cape Town, 7505, South Africa
| | - Sonto Maria Maputle
- Faculty of Health Sciences, Department of Advanced Nursing Sciences, University of Venda, Private Bag X5050, Thohoyandou, 0950, South Africa
| | - Duduzile Ndwandwe
- Cochrane South Africa, South Africa Medical Research Council, Parow Valley, Cape Town, 7501, South Africa
| | - Ndidzulafhi Selina Raliphaswa
- Faculty of Health Sciences, Department of Advanced Nursing Sciences, University of Venda, Private Bag X5050, Thohoyandou, 0950, South Africa
| | - Lizzy Mutshinyalo Netshikweta
- Faculty of Health Sciences, Department of Advanced Nursing Sciences, University of Venda, Private Bag X5050, Thohoyandou, 0950, South Africa
| | - Thivhulawi Malwela
- Faculty of Health Sciences, Department of Advanced Nursing Sciences, University of Venda, Private Bag X5050, Thohoyandou, 0950, South Africa
| | - Amidou Samie
- Faculty of Sciences, Engineering and Agriculture, Department of Biochemistry and Microbiology, University of Venda, Private Bag X5050, Thohoyandou, 0950, South Africa.
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Chen J, Liu T, Cui H, Na Q, Liu S. MiRNA-26a-5p inhibits preterm labor initiation by targeting and regulating TRPC3 ion channel protein expression. Environ Toxicol 2024; 39:357-366. [PMID: 37755144 DOI: 10.1002/tox.23972] [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] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 08/03/2023] [Accepted: 08/30/2023] [Indexed: 09/28/2023]
Abstract
The incidence of preterm birth (PTB) is increasing annually worldwide, leading to various health problems or even fetal deaths. Our previous work demonstrated the activation of transient receptor potential cation channel subfamily C 3 (TRPC3) in mice with PTB, and its activation could promote inward flow of calcium ions and uterine smooth muscle (USM) contraction via regulation of Cav3.2, Cav3.1, and Cav1.2. However, the upstream regulators of TRPC3 and its mechanisms remain unknown. In the present study, the binding of miR-26a-5p to the 3' untranslated region of TRPC3 was predicted by bioinformatics databases (TargetScanHuman and starBase v3.0) and confirmed by a dual-luciferase assay. MiR-26a-5p was downregulated, while TRPC3 was upregulated in the USM tissues of patients with PTB compared to people without PTB. The results showed that miR-26a-5p mimic transfection markedly reduced TRPC3 expression in LPS-stimulated USM cells. Additionally, miR-26a-5p regulated intracellular Ca2+ levels in USM cells by targeting TRPC3. Furthermore, miR-26a-5p inhibited the CPI17/PKC/PLCγ signaling pathway and reduced the expression of Cav3.2, Cav3.1, and Cav1.2. In conclusion, miR-26a-5p regulated the initiation of PTB by targeting TRPC3 and regulating intracellular Ca2+ levels. This study provides a promising diagnostic biomarker and therapeutic target for PTB.
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Affiliation(s)
- Jing Chen
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, P.R. China
| | - Tong Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, P.R. China
| | - Hong Cui
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, P.R. China
| | - Quan Na
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, P.R. China
| | - Sishi Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, P.R. China
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Bauer AE, Avery CL, Shi M, Weinberg CR, Olshan AF, Harmon QE, Luo J, Yang J, Manuck T, Wu MC, Klungsøyr K, Trogstad L, Magnus P, Engel SM. Do Genetic Variants Modify the Effect of Smoking on Risk of Preeclampsia in Pregnancy? Am J Perinatol 2024; 41:44-52. [PMID: 34839469 PMCID: PMC10127527 DOI: 10.1055/s-0041-1740072] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
OBJECTIVE Maternal smoking is associated with as much as a 50% reduced risk of preeclampsia, despite increasing risk of other poor pregnancy outcomes that often co-occur with preeclampsia, such as preterm birth and fetal growth restriction. Researchers have long sought to understand whether this perplexing association is biologically based, or a result of noncausal mechanisms. We examined whether smoking-response genes modify the smoking-preeclampsia association to investigate potential biological explanations. STUDY DESIGN We conducted a nested case-control study within the Norwegian Mother, Father and Child Birth Cohort (1999-2008) of 2,596 mother-child dyads. We used family-based log-linear Poisson regression to examine modification of the maternal smoking-preeclampsia relationship by maternal and fetal single nucleotide polymorphisms involved in cellular processes related to components of cigarette smoke (n = 1,915 with minor allele frequency ≥10%). We further investigated the influence of smoking cessation during pregnancy. RESULTS Three polymorphisms showed overall (p < 0.001) multiplicative interaction between smoking and maternal genotype. For rs3765692 (TP73) and rs10770343 (PIK3C2G), protection associated with smoking was reduced with two maternal copies of the risk allele and was stronger in continuers than quitters (interaction p = 0.02 for both loci, based on testing 3-level smoking by 3-level genotype). For rs2278361 (APAF1) the inverse smoking-preeclampsia association was eliminated by the presence of a single risk allele, and again the trend was stronger in continuers than in quitters (interaction p = 0.01). CONCLUSION Evidence for gene-smoking interaction was limited, but differences by smoking cessation warrant further investigation. We demonstrate the potential utility of expanded dyad methods and gene-environment interaction analyses for outcomes with complex relationships between maternal and fetal genotypes and exposures. KEY POINTS · Maternal and fetal genotype may differentially influence preeclampsia.. · Smoking-related genes did not strongly modify smoking-preeclampsia association.. · Smoking cessation reduced strength of gene by smoking interactions..
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Affiliation(s)
- Anna E. Bauer
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, CB# 7435, Chapel Hill, NC, 27599-7435, United States
| | - Christy L. Avery
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, CB# 7435, Chapel Hill, NC, 27599-7435, United States
- Carolina Population Center, University of North Carolina at Chapel Hill, 123 West Franklin St, Chapel Hill, NC, 27516, United States
| | - Min Shi
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, P.O. Box 12233, Mail Drop A3-03, Durham, NC, 27709, United States
| | - Clarice R. Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, P.O. Box 12233, Mail Drop A3-03, Durham, NC, 27709, United States
| | - Andrew F. Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, CB# 7435, Chapel Hill, NC, 27599-7435, United States
| | - Quaker E. Harmon
- Epidemiology Branch, National Institute of Environmental Health Sciences, P.O. Box 12233, Mail Drop A3-05, Durham, NC, 27709, United States
| | - Jingchun Luo
- Mammalian Genotyping Core, University of North Carolina at Chapel Hill, Carolina Crossing C, 2234 Nelson Highway, Chapel Hill, NC, 27517, United States
| | - Jenny Yang
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, CB# 7420, Chapel Hill, NC, 27599-7420, United States
| | - Tracy Manuck
- Department of Obstetrics and Gynecology, School of Medicine, University of North Carolina at Chapel Hill, 3009 Old Clinic Building, CB# 7570, Chapel Hill, NC, 27599-7570, United States
| | - Michael C. Wu
- Biostatistics and Biomathematics Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, M2-8500, Seattle, WA 98109, United States
| | - Kari Klungsøyr
- Division for Mental and Physical Health, Norwegian Institute of Public Health, P.O. Box 222 Skøyen, 0213 Oslo, Norway
- Department of Global Public Health and Primary Care, University of Bergen, P.O. Box 7804, N-5020, Bergen, Norway
| | - Lill Trogstad
- Division for Mental and Physical Health, Norwegian Institute of Public Health, P.O. Box 222 Skøyen, 0213 Oslo, Norway
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, P.O. Box 222 Skøyen, N-0213 Oslo, Norway
| | - Stephanie M. Engel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, CB# 7435, Chapel Hill, NC, 27599-7435, United States
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Qiu L, Lin X, Chen R, Wu Y, Yan J. LncRNA PSMA3-AS1 promotes preterm delivery by inducing ferroptosis via miR-224-3p/Nrf2 axis. Cell Mol Biol (Noisy-le-grand) 2023; 69:270-278. [PMID: 38158666 DOI: 10.14715/cmb/2023.69.13.40] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Indexed: 01/03/2024]
Abstract
Long non-coding RNAs (lncRNAs) have a vital potential in premature delivery. This research was intended to explore PSMA3-AS1's role in premature delivery as well as its possible molecular mechanism. We enrolled 100 premature delivery patients and 100 term patients. Fetal membranes were collected. RT-qPCR was adopted for evaluating PSMA3-AS1, miRNA-224-3p, along with Nrf2 expression. Cell function experiments were implemented to clarify PSMA3-AS1 functions in human trophoblast HTR-8/SVneo cells. Rescue together with mechanistic experiments were implemented for assessing the regulatory function and interaction between miR-224-3p and PSMA3-AS1 or Nrf2 axis in human trophoblast cells. The results uncovered that PSMA3-AS1 level presented downregulation in the fetal membrane tissues and human trophoblast cells. Overexpressed PSMA3-AS1 enhanced cell proliferation but suppressed ferroptosis in human trophoblast cells. Besides, PSMA3-AS1 elevation also attenuated the LPS-induced inflammatory response and restored the LPS-induced upregulation of 20α-HSD and downregulation of progesterone (P4). Mechanistically, miR-224-3p could bind to PSMA3-AS1 and present upregulation in fetal membranes and human trophoblast cells. Notably, overexpressed miR-224-3p offset the influences of PSMA3-AS1 on human trophoblast cell proliferation and ferroptosis. Furthermore, Nrf2 was targeted by miR-224-3p. Downregulated Nrf2 offset the influences of the miR-224-3p inhibitor and induced HTR-8/SVneo dysfunction. Additionally, Nrf2 transcriptionally activated PSMA3-AS1 and GPX4. In conclusion, PSMA3-AS1 expression is low during premature delivery and overexpressing PSMA3-AS1 promotes proliferation and suppresses ferroptosis of human trophoblast cells by interacting with miR-224-3p to downregulate Nrf2. Therefore, enhancing PSMA3-AS1 expression may be a promising therapeutic strategy to prevent premature delivery.
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Affiliation(s)
- Liyin Qiu
- Department of Obstetrics, Fujian Provincial Maternity and Children's Hospital, Affiliated Hospital of Fujian Medical University, No.18 Daoshan Road, Fuzhou, Fujian 350000, China.
| | - Xiaoqian Lin
- Department of Obstetrics, Fujian Provincial Maternity and Children's Hospital, Affiliated Hospital of Fujian Medical University, No.18 Daoshan Road, Fuzhou, Fujian 350000, China.
| | - Ruiyun Chen
- Department of Obstetrics, Fujian Provincial Maternity and Children's Hospital, Affiliated Hospital of Fujian Medical University, No.18 Daoshan Road, Fuzhou, Fujian 350000, China.
| | - Yiting Wu
- Department of Obstetrics, Fujian Provincial Maternity and Children's Hospital, Affiliated Hospital of Fujian Medical University, No.18 Daoshan Road, Fuzhou, Fujian 350000, China.
| | - Jianying Yan
- Department of Obstetrics, Fujian Provincial Maternity and Children's Hospital, Affiliated Hospital of Fujian Medical University, No.18 Daoshan Road, Fuzhou, Fujian 350000, China.
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Li N, Xue Z, Xu H, Yang P, Wang K, Li L, Kang H, Wang M, Deng Y, Li X, Wang Y, Zhu J, Yu P, Zhou S. Evaluation of nausea and vomiting in the first trimester on the risk of adverse birth outcomes and the contribution of genetic polymorphisms: a pilot prospective study. Arch Gynecol Obstet 2023; 308:1713-1721. [PMID: 36441230 DOI: 10.1007/s00404-022-06851-3] [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: 07/12/2022] [Accepted: 11/06/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE To evaluate the impact of Nausea and Vomiting in Pregnancy (NVP) on the risk of Preterm Birth (PTB) and Low Birth Weight (LBW), and explore the effect of genetic polymorphisms on the severity of NVP. METHODS A prospective study was conducted. Participants' experience of NVP prior to 12 gestational weeks were evaluated by a Pregnancy-Unique Quantification of Emesis and Nausea (PUQE) scale. 11 Single Nucleotide Polymorphisms (SNPs) loci located in growth differentiation factor 15 (GDF15) and leucine-rich repeat containing 25 (LRRC25) gene of chr19p13.11 and intergenic region of chr4q12 were genotyped, which were implicated as genetic risk factors for NVP. Logistic regression models were applied to determine the effect of NVP in the first trimester on the risk of PTB and LBW, and genetic polymorphisms on the risk of NVP. RESULTS Among 413 pregnant women, the incidence of nausea and vomiting was 85.5% (n = 353) in the first trimester, including 38.7% (n = 160) mild vomiting, 42.6% (n = 176) moderate vomiting and 4.1% (n = 17) severe vomiting. 33 were PTB, 20 were LBW. Compared with pregnant women without NVP, women with mild, moderate or severe NVP in the first trimester were not associated with the risk of PTB and LBW. Besides, the polymorphisms of 11 SNPs loci were not associated with the risk of NVP. CONCLUSIONS Our study indicated that symptoms of nausea and vomiting in the first trimester were not significantly associated with PTB and LBW, and there were also no associations between GDF15 and LRRC25 polymorphisms and NVP.
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Affiliation(s)
- Nana Li
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Zhiwei Xue
- Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hongmei Xu
- Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Gynecology and Obstetrics, The People's Hospital of Leshan, Leshan, Sichuan, China
| | - Ping Yang
- Department of Obstetrics and Gynecology, Maternal and Child, Healthcare Hospital of Peng'an County, Nanchong, China
| | - Ke Wang
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, China
| | - Lu Li
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, China
| | - Hong Kang
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, China
| | - Meixian Wang
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, China
| | - Ying Deng
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, China
| | - Xiaohong Li
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Yanping Wang
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Jun Zhu
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Ping Yu
- National Center for Birth Defect Monitoring, West China Second University Hospital, Sichuan University, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan, China.
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China.
| | - Shu Zhou
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China.
- Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
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Chang TY, Wang LK, Kuo YH, Chen CY, Pai TW, Chen CP. Interferon-stimulated gene 15 polymorphisms are associated with spontaneous preterm birth in Taiwanese women. Am J Reprod Immunol 2023; 90:e13790. [PMID: 38009059 DOI: 10.1111/aji.13790] [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: 02/26/2023] [Revised: 09/22/2023] [Accepted: 10/09/2023] [Indexed: 11/28/2023] Open
Abstract
PROBLEM Immune and inflammatory responses are known to be major causes of preterm birth (PTB). The maternal genetic background plays an important role in the development of PTB. Interferon-stimulated gene 15 (ISG15) is an interferon-induced protein which can modulate immune cell activation and function. We aim to study if polymorphisms in the ISG15 gene are associated with spontaneous PTB (sPTB) risk in Taiwanese women. METHOD OF STUDY ISG15 rs4615788 C/G, rs1921 G/A, and rs8997 A/G polymorphisms were genotyped in a hospital-based study of 112 women with sPTB and 1120 term controls. The plasma concentrations of ISG15 were determined by enzyme-linked immunosorbent assay. RESULTS We found the ISG15 rs1921 G-rs8997 A haplotype was associated with decreased risk for PTB (χ2 = 6.26, p = .01, pc = .04). The A/G genotype of ISG15 rs8997 polymorphism might have the potential to confer reduced risk of PTB women (χ2 = 4.09, p = .04, pc = .08). Spontaneous PTB women displayed higher plasma ISG15 levels compared to term controls (p < .001). The plasma ISG15 levels among pregnant women with rs8997 A/G genotype were found significantly lower compared to G/G genotype (p = .03). CONCLUSIONS Women with the ISG15 rs1921 G-rs8997 A haplotype may associate with spontaneous PTB. These findings provide new insights into the etiology of preterm birth.
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Affiliation(s)
- Tzu-Yang Chang
- Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan
| | - Liang-Kai Wang
- Division of High Risk Pregnancy, MacKay Memorial Hospital, Taipei, Taiwan
| | - Yi-Hsiu Kuo
- Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan
| | - Chia-Yu Chen
- Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan
| | - Tun-Wen Pai
- Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan
| | - Chie-Pein Chen
- Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan
- Division of High Risk Pregnancy, MacKay Memorial Hospital, Taipei, Taiwan
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16
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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: 1] [Impact Index Per Article: 1.0] [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: 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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17
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Hur YM, Yoo JY, You YA, Park S, Kim SM, Lee G, Kim YJ. A genome-wide and candidate gene association study of preterm birth in Korean pregnant women. PLoS One 2023; 18:e0294948. [PMID: 38019868 PMCID: PMC10686439 DOI: 10.1371/journal.pone.0294948] [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: 08/10/2023] [Accepted: 11/12/2023] [Indexed: 12/01/2023] Open
Abstract
Preterm birth (PTB) refers to delivery before 37 weeks of gestation. Premature neonates exhibit higher neonatal morbidity and mortality rates than term neonates; therefore, it is crucial to predict and prevent PTB. Advancements enable the prediction and prevention of PTB using genetic approaches, especially by investigating its correlation with single nucleotide polymorphisms (SNPs). We aimed to identify impactive and relevant SNPs for the prediction of PTB via whole-genome sequencing analyses of the blood of 31 pregnant women with PTB (n = 13) and term birth (n = 18) who visited the Ewha Womans University Mokdong Hospital from November 1, 2018 to February 29, 2020. A genome-wide association study was performed using PLINK 1.9 software and 256 SNPs were selected and traced through protein-protein interactions. Moreover, a validation study by genotyping was performed on 60 other participants (preterm birth, n = 30; term birth, n = 30) for 25 SNPs related to ion channel binding and receptor complex pathways. Odds ratios were calculated using additive, dominant, and recessive genetic models. The risk of PTB in women with the AG allele of rs2485579 (gene name: RYR2) was significantly 4.82-fold increase, and the risk of PTB in women with the AG allele of rs7903957 (gene name: TBX5) was significantly 0.25-fold reduce. Our results suggest that rs2485579 (in RYR2) can be a genetic marker of PTB, which is considered through the association with abnormal cytoplasmic Ca2+ concentration and dysfunctional uterine contraction due to differences of RYR2 in the sarcoplasmic reticulum.
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Affiliation(s)
- Young Min Hur
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University Mokdong Hospital, Seoul, Korea
| | - Jae Young Yoo
- Division of Biobank, Korea National Institute of Health (KNIH), Korea Disease Control and Prevention Agency (KDCA), Cheongju, Korea
| | - Young Ah You
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University Mokdong Hospital, Seoul, Korea
| | - Sunwha Park
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University Mokdong Hospital, Seoul, Korea
| | - Soo Min Kim
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University Mokdong Hospital, Seoul, Korea
| | - Gain Lee
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University Mokdong Hospital, Seoul, Korea
| | - Young Ju Kim
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Medical Research Institute, Ewha Womans University Mokdong Hospital, Seoul, Korea
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18
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Fitzgerald E, Shen M, Yong HEJ, Wang Z, Pokhvisneva I, Patel S, O'Toole N, Chan SY, Chong YS, Chen H, Gluckman PD, Chan J, Lee PKM, Meaney MJ. Hofbauer cell function in the term placenta associates with adult cardiovascular and depressive outcomes. Nat Commun 2023; 14:7120. [PMID: 37963865 PMCID: PMC10645763 DOI: 10.1038/s41467-023-42300-8] [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: 11/24/2022] [Accepted: 10/05/2023] [Indexed: 11/16/2023] Open
Abstract
Pathological placental inflammation increases the risk for several adult disorders, but these mediators are also expressed under homeostatic conditions, where their contribution to adult health outcomes is unknown. Here we define an inflammation-related expression signature, primarily expressed in Hofbauer cells of the term placenta and use expression quantitative trait loci to create a polygenic score (PGS) predictive of its expression. Using this PGS in the UK Biobank we conduct a phenome-wide association study, followed by Mendelian randomization and identify protective, sex-dependent effects of the placental module on cardiovascular and depressive outcomes. Genes differentially regulated by intra-amniotic infection and preterm birth are over-represented within the module. We also identify aspirin as a putative modulator of this inflammation-related signature. Our data support a model where disruption of placental Hofbauer cell function, due to preterm birth or prenatal infection, contributes to the increased risk of depression and cardiovascular disease observed in these individuals.
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Affiliation(s)
- Eamon Fitzgerald
- Sackler Program for Epigenetics and Psychobiology, McGill University, Montréal, Canada.
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montréal, Canada.
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada.
| | - Mojun Shen
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore
| | - Hannah Ee Juen Yong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore
| | - Zihan Wang
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada
| | - Irina Pokhvisneva
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada
| | - Sachin Patel
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada
| | - Nicholas O'Toole
- Sackler Program for Epigenetics and Psychobiology, McGill University, Montréal, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montréal, Canada
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Helen Chen
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore
- The University of Auckland, Auckland, New Zealand
| | - Jerry Chan
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
| | - Patrick Kia Ming Lee
- Brain - Body Initiative, Agency for Science, Technology & Research, Singapore, Singapore
| | - Michael J Meaney
- Sackler Program for Epigenetics and Psychobiology, McGill University, Montréal, Canada.
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada.
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore.
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Brain - Body Initiative, Agency for Science, Technology & Research, Singapore, Singapore.
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19
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Yamamoto N, Balciuniene J, Hartman T, Diaz-Miranda MA, Bedoukian E, Devkota B, Lawrence A, Golenberg N, Patel M, Tare A, Chen R, Schindler E, Choi J, Kaur M, Charles S, Chen J, Fanning EA, Dechene E, Cao K, Jill MR, Rajagopalan R, Bayram Y, Dulik MC, Germiller J, Conlin LK, Krantz ID, Luo M. Comprehensive Gene Panel Testing for Hearing Loss in Children: Understanding Factors Influencing Diagnostic Yield. J Pediatr 2023; 262:113620. [PMID: 37473993 DOI: 10.1016/j.jpeds.2023.113620] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 05/17/2023] [Accepted: 07/12/2023] [Indexed: 07/22/2023]
Abstract
OBJECTIVE To evaluate factors influencing the diagnostic yield of comprehensive gene panel testing (CGPT) for hearing loss (HL) in children and to understand the characteristics of undiagnosed probands. STUDY DESIGN This was a retrospective cohort study of 474 probands with childhood-onset HL who underwent CGPT between 2016 and 2020 at a single center. Main outcomes and measures included the association between clinical variables and diagnostic yield and the genetic and clinical characteristics of undiagnosed probands. RESULTS The overall diagnostic yield was 44% (209/474) with causative variants involving 41 genes. While the diagnostic yield was high in the probands with congenital, bilateral, and severe HL, it was low in those with unilateral, noncongenital, or mild HL; cochlear nerve deficiency; preterm birth; neonatal intensive care unit admittance; certain ancestry; and developmental delay. Follow-up studies on 49 probands with initially inconclusive CGPT results changed the diagnostic status to likely positive or negative outcomes in 39 of them (80%). Reflex to exome sequencing on 128 undiagnosed probands by CGPT revealed diagnostic findings in 8 individuals, 5 of whom had developmental delays. The remaining 255 probands were undiagnosed, with 173 (173/255) having only a single variant in the gene(s) associated with autosomal recessive HL and 28% (48/173) having a matched phenotype. CONCLUSION CGPT efficiently identifies the genetic etiologies of HL in children. CGPT-undiagnosed probands may benefit from follow-up studies or expanded testing.
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Affiliation(s)
- Nobuko Yamamoto
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA; Roberts Individualized Medical Genetics Center (RIMGC), Children's Hospital of Philadelphia, Philadelphia, PA; Division of Otolaryngology, Department of Surgical Specialties, National Center for Children's Health and Development, Tokyo, Japan; Division of Hearing and Balance Research, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center, Tokyo, Japan
| | - Jorune Balciuniene
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA; PerkinElmer Genomics, Pittsburgh, PA
| | - Tiffiney Hartman
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA; Roberts Individualized Medical Genetics Center (RIMGC), Children's Hospital of Philadelphia, Philadelphia, PA
| | - Maria Alejandra Diaz-Miranda
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Emma Bedoukian
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA; Roberts Individualized Medical Genetics Center (RIMGC), Children's Hospital of Philadelphia, Philadelphia, PA
| | - Batsal Devkota
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA; Roberts Individualized Medical Genetics Center (RIMGC), Children's Hospital of Philadelphia, Philadelphia, PA
| | - Audrey Lawrence
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA; Roberts Individualized Medical Genetics Center (RIMGC), Children's Hospital of Philadelphia, Philadelphia, PA
| | - Netta Golenberg
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Maha Patel
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Archana Tare
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Robert Chen
- Department of Pathology and Laboratory Medicine, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Emma Schindler
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA; Roberts Individualized Medical Genetics Center (RIMGC), Children's Hospital of Philadelphia, Philadelphia, PA
| | - Jiwon Choi
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA; Roberts Individualized Medical Genetics Center (RIMGC), Children's Hospital of Philadelphia, Philadelphia, PA
| | - Maninder Kaur
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA; Roberts Individualized Medical Genetics Center (RIMGC), Children's Hospital of Philadelphia, Philadelphia, PA
| | - Sarah Charles
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Jiani Chen
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Elizabeth A Fanning
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Elizabeth Dechene
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Kajia Cao
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Murrell R Jill
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA; Department of Pathology and Laboratory Medicine, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Ramakrishnan Rajagopalan
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA; Department of Pathology and Laboratory Medicine, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Yavuz Bayram
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA; Department of Pathology and Laboratory Medicine, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Matthew C Dulik
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA; Department of Pathology and Laboratory Medicine, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - John Germiller
- Division of Pediatric Otolaryngology, Children's Hospital of Philadelphia, Philadelphia, PA; Department of Otorhinolaryngology, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Laura K Conlin
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA; Department of Pathology and Laboratory Medicine, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Ian D Krantz
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA; Roberts Individualized Medical Genetics Center (RIMGC), Children's Hospital of Philadelphia, Philadelphia, PA; Department of Pediatrics, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Minjie Luo
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA; Department of Pathology and Laboratory Medicine, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
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20
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Fučić A, Knežević J, Krasić J, Polančec D, Sinčić N, Sindičić Dessardo N, Starčević M, Guszak V, Ceppi M, Bruzzone M. Interleukin-2 gene methylation levels and interleukin-2 levels associated with environmental exposure as risk biomarkers for preterm birth. Croat Med J 2023; 64:320-328. [PMID: 37927185 PMCID: PMC10668044] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 10/30/2023] [Indexed: 11/07/2023] Open
Abstract
AIM To compare interleukin-2 levels (IL-2) and IL-2 gene site 1 methylation levels between preterm newborns (PN) and full-term newborns (FN) and investigate their association with the environmental exposure of their mothers during pregnancy. METHODS IL-2 and IL-2 gene site 1 methylation levels were assessed in 50 PN and 56 FN. Newborns' mothers filled in questionnaires about their living and occupational environments, habits, diets, and hobbies. RESULTS The mothers of PN were significantly more frequently agrarian/rural residents than the mothers of FN. PN had significantly higher IL-2 levels, and significantly lower methylation of IL-2 gene site 1 levels than FN. CONCLUSION IL-2 levels, hypomethylation of the IL-2 gene site 1, and the mother's rural residence (probably due to pesticide exposure) were predictive biomarkers for preterm birth. For the first time, we present the reference values for the methylation of IL-2 gene site 1 in PN and FN, which can be used in the clinical setting and biomonitoring.
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Affiliation(s)
- Aleksandra Fučić
- Aleksandra Fučić, Institute for Medical Research and Occupational Health, Ksaverska cesta 2, 10000 Zagreb, Croatia,
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21
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Pasanen A, Karjalainen MK, Zhang G, Tiensuu H, Haapalainen AM, Ojaniemi M, Feenstra B, Jacobsson B, Palotie A, Laivuori H, Muglia LJ, Rämet M, Hallman M. Meta-analysis of genome-wide association studies of gestational duration and spontaneous preterm birth identifies new maternal risk loci. PLoS Genet 2023; 19:e1010982. [PMID: 37871108 PMCID: PMC10621942 DOI: 10.1371/journal.pgen.1010982] [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: 12/22/2022] [Revised: 11/02/2023] [Accepted: 09/19/2023] [Indexed: 10/25/2023] Open
Abstract
BACKGROUND Preterm birth (<37 weeks of gestation) is a major cause of neonatal death and morbidity. Up to 40% of the variation in timing of birth results from genetic factors, mostly due to the maternal genome. METHODS We conducted a genome-wide meta-analysis of gestational duration and spontaneous preterm birth in 68,732 and 98,370 European mothers, respectively. RESULTS The meta-analysis detected 15 loci associated with gestational duration, and four loci associated with preterm birth. Seven of the associated loci were novel. The loci mapped to several biologically plausible genes, for example HAND2 whose expression was previously shown to decrease during gestation, associated with gestational duration, and GC (Vitamin D-binding protein), associated with preterm birth. Downstream in silico-analysis suggested regulatory roles as underlying mechanisms for the associated loci. LD score regression found birth weight measures as the most strongly correlated traits, highlighting the unique nature of spontaneous preterm birth phenotype. Tissue expression and colocalization analysis revealed reproductive tissues and immune cell types as the most relevant sites of action. CONCLUSION We report novel genetic risk loci that associate with preterm birth or gestational duration, and reproduce findings from previous genome-wide association studies. Altogether, our findings provide new insight into the genetic background of preterm birth. Better characterization of the causal genetic mechanisms will be important to public health as it could suggest new strategies to treat and prevent preterm birth.
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Affiliation(s)
- Anu Pasanen
- Research Unit of Clinical Medicine, Medical Research Center Oulu, University of Oulu, and Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | - Minna K. Karjalainen
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
| | | | - Ge Zhang
- Division of Human Genetics, Cincinnati Children’s Hospital Medical Center, Center for Prevention of Preterm Birth, Perinatal Institute and March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America
| | - Heli Tiensuu
- Research Unit of Clinical Medicine, Medical Research Center Oulu, University of Oulu, and Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | - Antti M. Haapalainen
- Research Unit of Clinical Medicine, Medical Research Center Oulu, University of Oulu, and Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | - Marja Ojaniemi
- Research Unit of Clinical Medicine, Medical Research Center Oulu, University of Oulu, and Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Bo Jacobsson
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden
- Department of Genetics and Bioinformatics, Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
- Psychiatric & Neurodevelopmental Genetics Unit, Department of Psychiatry, Analytic and Translational Genetics Unit, Department of Medicine, and the Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Hannele Laivuori
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- Center for Child, Adolescent, and Maternal Health Research, Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland
- Department of Obstetrics and Gynecology, Tampere University Hospital, Tampere, Finland
| | - Louis J. Muglia
- Division of Human Genetics, Cincinnati Children’s Hospital Medical Center, Center for Prevention of Preterm Birth, Perinatal Institute and March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America
- Burroughs Wellcome Fund, Research Triangle Park, Durham, North Carolina, United States of America
| | - Mika Rämet
- Research Unit of Clinical Medicine, Medical Research Center Oulu, University of Oulu, and Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mikko Hallman
- Research Unit of Clinical Medicine, Medical Research Center Oulu, University of Oulu, and Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
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22
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Ardissino M, Reddy RK, Slob EA, Griffiths J, Girling J, Ng FS. Maternal hypertensive traits and adverse outcome in pregnancy: a Mendelian randomization study. J Hypertens 2023; 41:1438-1445. [PMID: 37432894 PMCID: PMC10399932 DOI: 10.1097/hjh.0000000000003486] [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: 02/10/2023] [Revised: 04/08/2023] [Accepted: 05/24/2023] [Indexed: 07/13/2023]
Abstract
INTRODUCTION Hypertensive disorders of pregnancy are associated with adverse feto-maternal outcomes. Existing evidence is mostly limited to observational studies, which are liable to confounding and bias. This study investigated the causal relevance of component hypertensive indices on multiple adverse pregnancy outcomes using Mendelian randomization. METHODS Uncorrelated ( r2 < 0.001) genome-wide significant ( P < 5 × 10 -8 ) single-nucleotide polymorphisms associated with SBP, DBP and pulse pressure (PP) were selected as instrumental variables. Genetic association estimates for outcomes of preeclampsia or eclampsia, preterm birth, placental abruption and hemorrhage in early pregnancy were extracted from summary statistics of genome-wide association studies in the FinnGen cohort. Two-sample, inverse-variance weighted Mendelian randomization formed the primary analysis method. Odds ratios (OR) are presented per-10 mmHg higher genetically predicted hypertensive index. RESULTS Higher genetically predicted SBP were associated with higher odds of preeclampsia or eclampsia [OR 1.81, 95% confidence interval (CI) 1.68-1.96, P = 5.45 × 10 -49 ], preterm birth (OR 1.09, 95% CI 1.03-1.16, P = 0.005) and placental abruption (OR 1.33, 95% CI 1.05-1.68, P = 0.016). Higher genetically-predicted DBP was associated with preeclampsia or eclampsia (OR 2.54, 95% CI 2.21-2.92, P = 5.35 × 10 -40 ). Higher genetically predicted PP was associated with preeclampsia or eclampsia (OR 1.68, 95% CI 1.47-1.92, P = 1.9 × 10 -14 ) and preterm birth (OR 1.18, 95% CI 1.06-1.30, P = 0.002). CONCLUSION This study provides genetic evidence to support causal associations of SBP, DBP and PP on multiple adverse outcomes of pregnancy. SBP and PP were associated with the broadest range of adverse outcomes, suggesting that optimized management of blood pressure, particularly SBP, is a key priority to improve feto-maternal health.
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Affiliation(s)
- Maddalena Ardissino
- National Heart and Lung Institute, Imperial College London, London
- Royal Papworth Hospital, Cambridge Biomedical Campus
| | - Rohin K. Reddy
- National Heart and Lung Institute, Imperial College London, London
| | - Eric A.W. Slob
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Department of Applied Economics, Erasmus School of Economics
- Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Jack Griffiths
- Royal Brompton Hospital, Guy's and St Thomas’ NHS Foundation Trust
| | - Joanna Girling
- West Middlesex Hospital, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK
| | - Fu Siong Ng
- National Heart and Lung Institute, Imperial College London, London
- West Middlesex Hospital, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK
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23
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Nowak AL, Anderson CM, Zhao Y, Ford JL, Mackos AR, Ohm J, Tan A, Saadat N, Misra DP, Giurgescu C. Epigenetic Implications of Neighborhood Disorder and Psychological Distress among Pregnant Black Women. West J Nurs Res 2023; 45:780-788. [PMID: 37382364 PMCID: PMC10528284 DOI: 10.1177/01939459231184713] [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] [Indexed: 06/30/2023]
Abstract
Background: In the United States, Black women experience preterm birth (PTB; <37 weeks gestation) at more than 1.5 times the rate of non-Hispanic White women. Social determinants of health including the neighborhood environment have been recognized as contributing to the risk of PTB. Due to historical segregation, Black women are more likely to live in neighborhoods with higher levels of neighborhood disorder compared with White women. Perceived neighborhood disorder appears to be a risk factor for maternal psychological distress in Black women and psychological distress has mediated the association between neighborhood disorder and the risk for PTB. However, the biological pathways underpinning these associations are not clear. Objective: We examined the associations among neighborhood disorder; psychological distress; DNA methylation of six stress-related, glucocorticoid candidate genes (AVP, CRH, CRHBP, FKBP5, HSD11B2, NR3C1); and gestational age at birth among 44 Black pregnant women. Methods: Women who were 18-45 years old and 8-18 weeks gestation had blood drawn and completed questionnaires measuring perceived neighborhood disorder, neighborhood crime, and psychological distress. Results: Three CpG sites were associated with neighborhood disorder (cg03405789 [CRH], cg14939152 and cg15910486 [NR3C1]). One CpG site, cg03098337 (FKBP5) was associated with psychological distress. Three of the identified CpG sites were located within gene CpG islands or shores-areas at which DNA methylation is known to affect gene transcription. Conclusion: These findings warrant further research to clarify intermediate biological pathways and potential biomarkers to identify women at risk for PTB. Identification of PTB risk early in pregnancy would allow for interventions to prevent PTB.
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Affiliation(s)
- Alexandra L Nowak
- Assistant Professor, Loyola University Chicago, Marcella Niehoff School of Nursing, CTRE: Room 346, Maywood, IL, USA
| | - Cindy M Anderson
- Professor and Senior Associate Dean for Academic Affairs and Educational Innovation, Martha S. Pitzer Center for Women, Children and Youth, The Ohio State University College of Nursing, Columbus, OH, USA
| | - Yihong Zhao
- Professor of Data Sciences, Columbia University School of Nursing, New York, NY, USA
| | - Jodi L Ford
- Professor and Assistant Director of the Martha S. Pitzer Center for Women Children and Youth, Director, Stress Science Lab, The Ohio State University College of Nursing, Columbus, OH, USA
| | - Amy R Mackos
- Associate Clinical Professor, The Ohio State University College of Nursing, Columbus, OH, USA
| | - Joyce Ohm
- Associate Professor of Oncology, Department of Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Alai Tan
- Research Professor, Center of Research and Health Analytics, Faculty Affiliate, Translational Data Analytics Institute, The Ohio State University College of Nursing, Columbus, OH, USA
| | - Nadia Saadat
- Research Investigator, Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA
| | - Dawn P Misra
- Professor and Chair, Department of Epidemiology and Biostatistics, MSU College of Human Medicine, East Lansing, MI, USA
| | - Carmen Giurgescu
- Professor and Associate Dean for Research, Chatlos Foundation Endowed Chair in Nursing, University of Central Florida College of Nursing, Orlando, FL, USA
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Norton ME, MacPherson C, Demko Z, Egbert M, Malone F, Wapner RJ, Roman AS, Khalil A, Faro R, Madankumar R, Strong N, Haeri S, Silver R, Vohra N, Hyett J, Martin K, Rabinowitz M, Jacobsson B, Dar P. Obstetrical, perinatal, and genetic outcomes associated with nonreportable prenatal cell-free DNA screening results. Am J Obstet Gynecol 2023; 229:300.e1-300.e9. [PMID: 36965866 DOI: 10.1016/j.ajog.2023.03.026] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 03/20/2023] [Accepted: 03/20/2023] [Indexed: 03/27/2023]
Abstract
BACKGROUND The clinical implications of nonreportable cell-free DNA screening results are uncertain, but such results may indicate poor placental implantation in some cases and be associated with adverse obstetrical and perinatal outcomes. OBJECTIVE This study aimed to assess the outcomes of pregnancies with nonreportable cell-free DNA screening in a cohort of patients with complete genetic and obstetrical outcomes. STUDY DESIGN This was a prespecified secondary analysis of a multicenter prospective observational study of prenatal cell-free DNA screening for fetal aneuploidy and 22q11.2 deletion syndrome. Participants who underwent cell-free DNA screening from April 2015 through January 2019 were offered participation. Obstetrical outcomes and neonatal genetic testing results were collected from 21 primary-care and referral centers in the United States, Europe, and Australia. The primary outcome was risk for adverse obstetrical and perinatal outcomes (aneuploidy, preterm birth at <28, <34, and <37 weeks' gestation, preeclampsia, small for gestational age or birthweight <10th percentile for gestational week, and a composite outcome that included preterm birth at <37 weeks, preeclampsia, small for gestational age, and stillbirth at >20 weeks) after nonreportable cell-free DNA screening because of low fetal fraction or other causes. Multivariable analyses were performed, adjusting for variables known to be associated with obstetrical and perinatal outcomes, nonreportable results, or fetal fraction. RESULTS In total, 25,199 pregnant individuals were screened, and 20,194 were enrolled. Genetic confirmation was missing in 1165 (5.8%), 1085 (5.4%) were lost to follow-up, and 93 (0.5%) withdrew; the final study cohort included 17,851 (88.4%) participants who had cell-free DNA, fetal or newborn genetic confirmatory testing, and obstetrical and perinatal outcomes collected. Results were nonreportable in 602 (3.4%) participants. A sample was redrawn and testing attempted again in 427; in 112 (26.2%) participants, results were again nonreportable. Nonreportable results were associated with higher body mass index, chronic hypertension, later gestational age, lower fetal fraction, and Black race. Trisomy 13, 18, or 21 was confirmed in 1.6% with nonreportable tests vs 0.7% with reported results (P=.013). Rates of preterm birth at <28, 34, and 37 weeks, preeclampsia, and the composite outcome were higher among participants with nonreportable results, and further increased among those with a second nonreportable test, whereas the rate of small for gestational age infants was not increased. After adjustment for confounders, the adjusted odds ratios were 2.2 (95% confidence interval, 1.1-4.4) and 2.6 (95% confidence interval, 0.6-10.8) for aneuploidy, and 1.5 (95% confidence interval, 1.2-1.8) and 2.1 (95% confidence interval, 1.4-3.2) for the composite outcome after a first and second nonreportable test, respectively. Of the patients with nonreportable tests, 94.9% had a live birth, as opposed to 98.8% of those with reported test results (adjusted odds ratio for livebirth, 0.20 [95% confidence interval, 0.13-0.30]). CONCLUSION Patients with nonreportable cell-free DNA results are at increased risk for a number of adverse outcomes, including aneuploidy, preeclampsia, and preterm birth. They should be offered diagnostic genetic testing, and clinicians should be aware of the increased risk of pregnancy complications.
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Affiliation(s)
- Mary E Norton
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA.
| | - Cora MacPherson
- Biostatistics Center, George Washington University, Washington, DC
| | | | | | - Fergal Malone
- Department of Obstetrics and Gynaecology, Rotunda Hospital, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Ronald J Wapner
- Department of Obstetrics and Gynecology, Columbia Presbyterian Medical Center, New York, NY
| | - Ashley S Roman
- Department of Obstetrics and Gynecology, New York University Langone Health, New York, NY
| | - Asma Khalil
- Department of Obstetrics and Gynaecology, St George's Hospital, University of London, London, United Kingdom
| | - Revital Faro
- Department of Obstetrics and Gynecology, Saint Peter's University Hospital, New Brunswick, NJ
| | - Rajeevi Madankumar
- Department of Obstetrics and Gynecology, Long Island Jewish Medical Center, Hyde Park, NY
| | - Noel Strong
- Department of Obstetrics, Gynecology, and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Sina Haeri
- Austin Maternal-Fetal Medicine, Austin, TX
| | - Robert Silver
- Department of Obstetrics and Gynecology, The University of Utah, Salt Lake City, UT
| | - Nidhi Vohra
- Department of Obstetrics and Gynecology, North Shore University Hospital, Manhasset, NY
| | - Jon Hyett
- Department of Obstetrics and Gynaecology, Royal Prince Alfred Hospital and Western Sydney University, Sydney, Australia
| | | | | | - Bo Jacobsson
- Department of Obstetrics and Gynecology, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Obstetrics and Gynecology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Pe'er Dar
- Department of Obstetrics and Gynecology and Women's Health, Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY
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Bhati T, Ray A, Arora R, Siraj F, Parvez S, Rastogi S. Intronic variants of LGALS13 gene encoding placental protein (PP13) are linked with increased risk of infection-associated spontaneous preterm birth. Am J Reprod Immunol 2023; 90:e13759. [PMID: 37641375 DOI: 10.1111/aji.13759] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 07/18/2023] [Accepted: 07/20/2023] [Indexed: 08/31/2023] Open
Abstract
PROBLEM Spontaneous preterm birth (sPTB) is a global health issue. Studies suggest infection and infection-based inflammatory responses are major risk factors for sPTB. Considering the important role of anti-inflammatory proteins in pregnancy, the study aimed to find the association between anti-inflammatory LGALS13 gene variants IVS2-22 A/G (rs2233706) and IVS3+72 T/A (rs2233708) and the risk of sPTB during Chlamydia trachomatis, Mycoplasma hominis and Ureaplasma urealyticum infection in Indian population. METHOD OF STUDY Placental samples of 160 sPTB and 160 term women were collected. Pathogens were detected by PCR. The genotyping of LGALS13 gene variants IVS2-22 A/G (rs2233706) and IVS3+72 T/A (rs2233708) was done by qualitative real-time PCR using allelic discrimination method (VIC- and FAM-labeled). RESULTS The frequency of AG or GG genotype of LGALS13 IVS2-22A/G polymorphism (rs2233706) was 75.5% in infected sPTB cases and 14.4% in uninfected sPTB cases and 7.3% in term birth controls (p < .0001), while the frequency of TA or AA genotype of LGALS13 IVS3+72T/A polymorphism (rs2233708) was 83.6% in infected sPTB cases and 18% in uninfected sPTB cases and 12.7% in term birth controls (p < .0001). The genotypic frequencies for both the variants of LGALS13 were statistically significant (p < .0001) in the infected sPTB versus uninfected sPTB and term birth controls. CONCLUSIONS Study reveals strong association between the presence of immunological gene variants LGALS13 IVS2-22 A/G (rs2233706) and LGALS13 IVS3+72 T/A (rs2233708) and risk of sPTB during C. trachomatis, M. hominis and U. urealyticum infection.
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Affiliation(s)
- Tanu Bhati
- Molecular Microbiology Laboratory, ICMR-National Institute of Pathology, Sriramachari Bhawan, Safdarjung Hospital Campus, New Delhi, India
| | - Ankita Ray
- Molecular Microbiology Laboratory, ICMR-National Institute of Pathology, Sriramachari Bhawan, Safdarjung Hospital Campus, New Delhi, India
| | - Renu Arora
- Department of Obstetrics and Gynaecology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India
| | - Fouzia Siraj
- Pathology Laboratory, ICMR-National Institute of Pathology, Sriramachari Bhawan, Safdarjung Hospital Campus, New Delhi, India
| | - Suhel Parvez
- Department of Medical Elementology and Toxicology, Jamia Hamdard, Hamdard Nagar, New Delhi, India
| | - Sangita Rastogi
- Molecular Microbiology Laboratory, ICMR-National Institute of Pathology, Sriramachari Bhawan, Safdarjung Hospital Campus, New Delhi, India
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26
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Hou L, Li Y, Kang L, Li X, Li H, Xue F. The long-term mediation role of cytokines on the causal pathway from maternal gestational age to offspring eye diseases: Lifecourse-Network Mendelian randomization. Int Immunopharmacol 2023; 122:110667. [PMID: 37487263 DOI: 10.1016/j.intimp.2023.110667] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 06/28/2023] [Accepted: 07/16/2023] [Indexed: 07/26/2023]
Abstract
BACKGROUND Gestational duration has a significant impact on eye diseases. A large number of evidences suggest that cytokines are associated with gestational duration and eye diseases. However, the causal relationships among cytokines, maternal gestational impairment and offspring eye diseases remain unclear. METHODS We performed lifecourse-network Mendelian randomization (MR) to explore the causal relationships between maternal gestational duration (from the Early Growth Genetics (EGG) Consortium and the Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH) study, N = 84,689), neonatal/adult cytokines (from the NHGRI-EBI Catalog, N = 764/4,618), and adult eye diseases (from FinnGen consotium, N = 309,154) using summary-level data from large genome-wide association studies. Multiplicative random effects inverse variance weighted (IVW) and multivariable-IVW methods were the main analysis methods, and the other 15 pleiotropy-robust methods, weak IV-robust methods, and outliers-robust methods were used as auxiliary methods. RESULTS Maternal gestational age (early preterm birth, preterm birth, gestational duration, and post-term birth) had a causal relationship with 42 eye diseases. Four neonatal cytokines, Tumor Necrosis Factor-α(TNF-α), IL10, GROA, and CTACK, as well as four adult cytokines, CTACK, IL10, IL12p70 and IL6 are mediators in the causal relationships between early preterm birth and preterm birth in eight eye diseases. However, after adjusting for these mediators, a null direct causal effect of early preterm birth and preterm birth on eight eye diseases was found. In addition, there was no mediator in the causal relationship between gestational duration and post-term birth to eye diseases. CONCLUSION The effects of maternal gestational duration on offspring eye diseases through cytokines are long-term and life-course effects.
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Affiliation(s)
- Lei Hou
- Beijing International Center for Mathematical Research, Peking University, Beijing 100871, China
| | - Yunxia Li
- Department of Neonatology, Jinan Children's Hospital, Jinan, Shandong 250022, China; Department of Neonatology, Children's Hospital Affiliated to Shandong University, Jinan, Shandong 250022, China
| | - Lili Kang
- Department of Neonatology, Jinan Children's Hospital, Jinan, Shandong 250022, China; Department of Neonatology, Children's Hospital Affiliated to Shandong University, Jinan, Shandong 250022, China
| | - Xiaoying Li
- Department of Neonatology, Jinan Children's Hospital, Jinan, Shandong 250022, China; Department of Neonatology, Children's Hospital Affiliated to Shandong University, Jinan, Shandong 250022, China.
| | - Hongkai Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250000, China; Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250000, China.
| | - Fuzhong Xue
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250000, China; Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250000, China.
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Mizuno S, Nagaie S, Tamiya G, Kuriyama S, Obara T, Ishikuro M, Tanaka H, Kinoshita K, Sugawara J, Yamamoto M, Yaegashi N, Ogishima S. Establishment of the early prediction models of low-birth-weight reveals influential genetic and environmental factors: a prospective cohort study. BMC Pregnancy Childbirth 2023; 23:628. [PMID: 37653383 PMCID: PMC10472725 DOI: 10.1186/s12884-023-05919-5] [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: 02/18/2023] [Accepted: 08/12/2023] [Indexed: 09/02/2023] Open
Abstract
BACKGROUND Low birth weight (LBW) is a leading cause of neonatal morbidity and mortality, and increases various disease risks across life stages. Prediction models of LBW have been developed before, but have limitations including small sample sizes, absence of genetic factors and no stratification of neonate into preterm and term birth groups. In this study, we challenged the development of early prediction models of LBW based on environmental and genetic factors in preterm and term birth groups, and clarified influential variables for LBW prediction. METHODS We selected 22,711 neonates, their 21,581 mothers and 8,593 fathers from the Tohoku Medical Megabank Project Birth and Three-Generation cohort study. To establish early prediction models of LBW for preterm birth and term birth groups, we trained AI-based models using genetic and environmental factors of lifestyles. We then clarified influential environmental and genetic factors for predicting LBW in the term and preterm groups. RESULTS We identified 2,327 (10.22%) LBW neonates consisting of 1,077 preterm births and 1,248 term births. Our early prediction models archived the area under curve 0.96 and 0.95 for term LBW and preterm LBW models, respectively. We revealed that environmental factors regarding eating habits and genetic features related to fetal growth were influential for predicting LBW in the term LBW model. On the other hand, we identified that genomic features related to toll-like receptor regulations and infection reactions are influential genetic factors for prediction in the preterm LBW model. CONCLUSIONS We developed precise early prediction models of LBW based on lifestyle factors in the term birth group and genetic factors in the preterm birth group. Because of its accuracy and generalisability, our prediction model could contribute to risk assessment of LBW in the early stage of pregnancy and control LBW risk in the term birth group. Our prediction model could also contribute to precise prediction of LBW based on genetic factors in the preterm birth group. We then identified parental genetic and maternal environmental factors during pregnancy influencing LBW prediction, which are major targets for understanding the LBW to address serious burdens on newborns' health throughout life.
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Affiliation(s)
- Satoshi Mizuno
- Department of Informatics for Genomic Medicine, Group of Integrated Database Systems, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Satoshi Nagaie
- Department of Informatics for Genomic Medicine, Group of Integrated Database Systems, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Gen Tamiya
- Department of Statistical Genetics and Genomics, Group of Disease Risk Prediction, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Shinichi Kuriyama
- Department of Molecular Epidemiology, Group of the Birth and Three-Generation Cohort Study, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Taku Obara
- Department of Molecular Epidemiology, Group of the Birth and Three-Generation Cohort Study, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Mami Ishikuro
- Department of Molecular Epidemiology, Group of the Birth and Three-Generation Cohort Study, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Hiroshi Tanaka
- Medical Data Science Promotion, Tokyo Medical and Dental University, Tokyo, Japan
| | - Kengo Kinoshita
- Department of Statistical Genetics and Genomics, Group of Systems Bioinformatics, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Junichi Sugawara
- Department of Gynecology and Obstetrics, Tohoku University Graduate School of Medicine, Tohoku University, Miyagi, Japan
- Department of Feto-Maternal Medical Science, Group of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
- Suzuki Memorial Hospital 3-5-5, Satonomori, Iwanumashi, Miyagi, 989-2481, Japan
| | - Masayuki Yamamoto
- Department of Medical Biochemistry, Graduate School of Medicine, Tohoku University, Sendai, Japan
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Nobuo Yaegashi
- Department of Gynecology and Obstetrics, Tohoku University Graduate School of Medicine, Tohoku University, Miyagi, Japan
| | - Soichi Ogishima
- Department of Informatics for Genomic Medicine, Group of Integrated Database Systems, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan.
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Zhu Y, Zhang Y, Jin Y, Jin H, Huang K, Tong J, Gan H, Rui C, Lv J, Wang X, Wang Q, Tao F. Identification and prediction model of placenta-brain axis genes associated with neurodevelopmental delay in moderate and late preterm children. BMC Med 2023; 21:326. [PMID: 37633927 PMCID: PMC10464496 DOI: 10.1186/s12916-023-03023-1] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 08/07/2023] [Indexed: 08/28/2023] Open
Abstract
BACKGROUND Moderate and late preterm (MLPT) birth accounts for the vast majority of preterm births, which is a global public health problem. The association between MLPT and neurobehavioral developmental delays in children and the underlying biological mechanisms need to be further revealed. The "placenta-brain axis" (PBA) provides a new perspective for gene regulation and risk prediction of neurodevelopmental delays in MLPT children. METHODS The authors performed multivariate logistic regression models between MLPT and children's neurodevelopmental outcomes, using data from 129 MLPT infants and 3136 full-term controls from the Ma'anshan Birth Cohort (MABC). Furthermore, the authors identified the abnormally regulated PBA-related genes in MLPT placenta by bioinformatics analysis of RNA-seq data and RT-qPCR verification on independent samples. Finally, the authors established the prediction model of neurodevelopmental delay in children with MLPT using multiple machine learning models. RESULTS The authors found an increased risk of neurodevelopmental delay in children with MLPT at 6 months, 18 months, and 48 months, especially in boys. Further verification showed that APOE and CST3 genes were significantly correlated with the developmental levels of gross-motor domain, fine-motor domain, and personal social domain in 6-month-old male MLPT children. CONCLUSIONS These findings suggested that there was a sex-specific association between MLPT and neurodevelopmental delays. Moreover, APOE and CST3 were identified as placental biomarkers. The results provided guidance for the etiology investigation, risk prediction, and early intervention of neurodevelopmental delays in children with MLPT.
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Affiliation(s)
- Yumin Zhu
- Medical School, Nanjing University, Nanjing, Jiangsu, China.
- Department of Maternal & Child and Adolescent Health, School of Public Health, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China.
| | - Yimin Zhang
- Department of Maternal & Child and Adolescent Health, School of Public Health, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
| | - Yunfan Jin
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing, China
| | - Heyue Jin
- Department of Maternal & Child and Adolescent Health, School of Public Health, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
| | - Kun Huang
- Department of Maternal & Child and Adolescent Health, School of Public Health, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
| | - Juan Tong
- Department of Maternal & Child and Adolescent Health, School of Public Health, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
| | - Hong Gan
- Department of Maternal & Child and Adolescent Health, School of Public Health, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
| | - Chen Rui
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Jia Lv
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Xianyan Wang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Qu'nan Wang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
| | - Fangbiao Tao
- Department of Maternal & Child and Adolescent Health, School of Public Health, MOE Key Laboratory of Population Health Across Life Cycle, Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China.
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Liao J, Shenhav L, Urban JA, Serrano M, Zhu B, Buck GA, Korem T. Microdiversity of the vaginal microbiome is associated with preterm birth. Nat Commun 2023; 14:4997. [PMID: 37591872 PMCID: PMC10435516 DOI: 10.1038/s41467-023-40719-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [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: 03/01/2023] [Accepted: 08/07/2023] [Indexed: 08/19/2023] Open
Abstract
Preterm birth (PTB) is the leading cause of neonatal morbidity and mortality. The vaginal microbiome has been associated with PTB, yet the mechanisms underlying this association are not fully understood. Understanding microbial genetic adaptations to selective pressures, especially those related to the host, may yield insights into these associations. Here, we analyze metagenomic data from 705 vaginal samples collected during pregnancy from 40 women who delivered preterm spontaneously and 135 term controls from the Multi-Omic Microbiome Study-Pregnancy Initiative. We find that the vaginal microbiome of pregnancies that ended preterm exhibited unique genetic profiles. It was more genetically diverse at the species level, a result which we validate in an additional cohort, and harbored a higher richness and diversity of antimicrobial resistance genes, likely promoted by transduction. Interestingly, we find that Gardnerella species drove this higher genetic diversity, particularly during the first half of the pregnancy. We further present evidence that Gardnerella spp. underwent more frequent recombination and stronger purifying selection in genes involved in lipid metabolism. Overall, our population genetics analyses reveal associations between the vaginal microbiome and PTB and suggest that evolutionary processes acting on vaginal microbes may play a role in adverse pregnancy outcomes such as PTB.
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Affiliation(s)
- Jingqiu Liao
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, USA.
| | - Liat Shenhav
- Center for Studies in Physics and Biology, Rockefeller University, New York, NY, USA
| | - Julia A Urban
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Myrna Serrano
- Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA
| | - Bin Zhu
- Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA
| | - Gregory A Buck
- Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA
- Department of Computer Science, School of Engineering, Virginia Commonwealth University, Richmond, VA, USA
| | - Tal Korem
- Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY, USA.
- CIFAR Azrieli Global Scholars program, CIFAR, Toronto, ON, Canada.
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Cheng H, Chi P, Zhuang Y, Alifu X, Zhou H, Qiu Y, Huang Y, Zhang L, Ainiwan D, Peng Z, Si S, Liu H, Yu Y. Association of 25-Hydroxyvitamin D with Preterm Birth and Premature Rupture of Membranes: A Mendelian Randomization Study. Nutrients 2023; 15:3593. [PMID: 37630783 PMCID: PMC10459690 DOI: 10.3390/nu15163593] [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: 07/25/2023] [Revised: 08/04/2023] [Accepted: 08/09/2023] [Indexed: 08/27/2023] Open
Abstract
Low vitamin D (VitD) level is a risk factor for preterm birth (PTB), but the results of previous studies remained inconsistent, which may be influenced by the confounding factors and different types of PTB. We performed Mendelian randomization (MR) to uncover the association of 25-hydroxyvitamin D (25(OH)D) with PTB, premature rupture of membranes (PROM), and preterm premature rupture of membranes (PPROM). This study was conducted in Zhoushan Maternal and Child Health Hospital, Zhejiang, from August 2011 to March 2022. Plasma 25(OH)D levels in three trimesters of pregnancy were measured. We conducted an MR analysis utilizing a genetic risk score (GRS) approach, which was based on VitD-associated single-nucleotide polymorphisms. The prospective cohort study included 3923 pregnant women. The prevalence of PTB, PROM, and PPROM were 6.09%, 13.18%, and 1.33%, respectively. Compared to those without vitamin D deficiency (VDD), only vaginally delivering pregnant women with VDD had a 2.69 (1.08-6.68) times risk of PTB. However, MR analysis did not support the association. One-unit higher GRS was not associated with an increased risk of PTB, regardless of the trimesters (OR [95% CI]: 1.01 [0.93-1.10], 1.06 [0.96-1.18], and 0.95 [0.82-1.10], respectively). When further taking PROM and PPROM as the outcomes, the MR analysis also showed no consistent evidence of a causal effect of VitD levels on the risk of them. Our MR analyses did not support a causal effect of 25(OH)D concentrations in the three trimesters on PTB, PROM, and PPROM.
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Affiliation(s)
- Haoyue Cheng
- Department of Public Health and Department of Anesthesiology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China; (H.C.)
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - Peihan Chi
- Department of Public Health and Department of Anesthesiology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China; (H.C.)
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - Yan Zhuang
- Department of Public Health and Department of Anesthesiology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China; (H.C.)
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - Xialidan Alifu
- Department of Public Health and Department of Anesthesiology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China; (H.C.)
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - Haibo Zhou
- Department of Public Health and Department of Anesthesiology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China; (H.C.)
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - Yiwen Qiu
- Department of Public Health and Department of Anesthesiology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China; (H.C.)
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - Ye Huang
- Department of Public Health and Department of Anesthesiology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China; (H.C.)
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - Libi Zhang
- Department of Public Health and Department of Anesthesiology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China; (H.C.)
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - Diliyaer Ainiwan
- Department of Public Health and Department of Anesthesiology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China; (H.C.)
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - Zhicheng Peng
- Department of Public Health and Department of Anesthesiology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China; (H.C.)
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - Shuting Si
- Yiwu Maternity and Children Hospital, Yiwu 322000, China
| | - Hui Liu
- Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310000, China
| | - Yunxian Yu
- Department of Public Health and Department of Anesthesiology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China; (H.C.)
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China
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Abstract
Prenatal screening using sequencing of circulating cell-free DNA has transformed obstetric care over the past decade and significantly reduced the number of invasive diagnostic procedures like amniocentesis for genetic disorders. Nonetheless, emergency care remains the only option for complications like preeclampsia and preterm birth, two of the most prevalent obstetrical syndromes. Advances in noninvasive prenatal testing expand the scope of precision medicine in obstetric care. In this review, we discuss advances, challenges, and possibilities toward the goal of providing proactive, personalized prenatal care. The highlighted advances focus mainly on cell-free nucleic acids; however, we also review research that uses signals from metabolomics, proteomics, intact cells, and the microbiome. We discuss ethical challenges in providing care. Finally, we look to future possibilities, including redefining disease taxonomy and moving from biomarker correlation to biological causation.
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Affiliation(s)
| | - Diana W Bianchi
- Eunice Kennedy Shriver National Institute of Child Health and Human Development and Section on Prenatal Genomics and Fetal Therapy, Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Gary M Shaw
- Department of Pediatrics and March of Dimes Prematurity Research Center at Stanford University, Stanford University School of Medicine, Stanford, California, USA
| | - David K Stevenson
- Department of Pediatrics and March of Dimes Prematurity Research Center at Stanford University, Stanford University School of Medicine, Stanford, California, USA
| | - Stephen R Quake
- Department of Bioengineering and Department of Applied Physics, Stanford University, Stanford, California, USA
- Chan Zuckerberg Initiative, Redwood City, California, USA
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32
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Wang L, Rossi RM, Chen X, Chen J, Runyon J, Chawla M, Miller D, Forney C, Lynch A, Zhang X, Kong F, Jacobsson B, Kottyan LC, Weirauch MT, Zhang G, Muglia LJ. A functional mechanism for a non-coding variant near AGTR2 associated with risk for preterm birth. BMC Med 2023; 21:258. [PMID: 37455310 PMCID: PMC10351137 DOI: 10.1186/s12916-023-02973-w] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 07/05/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND Preterm birth (PTB), defined as delivery before 37 gestational weeks, imposes significant public health burdens. A recent maternal genome-wide association study of spontaneous PTB identified a noncoding locus near the angiotensin II receptor type 2 (AGTR2) gene. Genotype-Tissue Expression data revealed that alleles associated with decreased AGTR2 expression in the uterus were linked to an increased risk of PTB and shortened gestational duration. We hypothesized that a causative variant in this locus modifies AGTR2 expression by altering transcription factor (TF) binding. METHODS To investigate this hypothesis, we performed bioinformatics analyses and functional characterizations at the implicated locus. Potential causal single nucleotide polymorphisms (SNPs) were prioritized, and allele-dependent binding of TFs was predicted. Reporter assays were employed to assess the enhancer activity of the top PTB-associated non-coding variant, rs7889204, and its impact on TF binding. RESULTS Our analyses revealed that rs7889204, a top PTB-associated non-coding genetic variant is one of the strongest eQTLs for the AGTR2 gene in uterine tissue samples. We observed differential binding of CEBPB (CCAAT enhancer binding protein beta) and HOXA10 (homeobox A10) to the alleles of rs7889204. Reporter assays demonstrated decreased enhancer activity for the rs7889204 risk "C" allele. CONCLUSION Collectively, these results demonstrate that decreased AGTR2 expression caused by reduced transcription factor binding increases the risk for PTB and suggest that enhancing AGTR2 activity may be a preventative measure in reducing PTB risk.
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Affiliation(s)
- Li Wang
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
- March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, OH, USA.
- Present Address: Department of Biology, Xavier University, OH, Cincinnati, USA.
| | - Robert M Rossi
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, OH, USA
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Xiaoting Chen
- March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, OH, USA
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Jing Chen
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Divisions of Biomedical Informatics and Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Jilian Runyon
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Mehak Chawla
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Daniel Miller
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Carmy Forney
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Arthur Lynch
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Xuzhe Zhang
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, OH, USA
| | - Fansheng Kong
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, OH, USA
| | - Bo Jacobsson
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Obstetrics and Gynecology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Genetics and Bioinformatics, Domain of Health Data and Digitalisation, Institute of Public Health, Oslo, Norway
| | - Leah C Kottyan
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Matthew T Weirauch
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Divisions of Biomedical Informatics and Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Ge Zhang
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, OH, USA
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Louis J Muglia
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
- March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, OH, USA.
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
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33
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Juodakis J, Ytterberg K, Flatley C, Sole-Navais P, Jacobsson B. Time-varying effects are common in genetic control of gestational duration. Hum Mol Genet 2023; 32:2399-2407. [PMID: 37195282 PMCID: PMC10321382 DOI: 10.1093/hmg/ddad086] [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: 02/21/2023] [Revised: 05/10/2023] [Accepted: 05/15/2023] [Indexed: 05/18/2023] Open
Abstract
Preterm birth is a major burden to neonatal health worldwide, determined in part by genetics. Recently, studies discovered several genes associated with this trait or its continuous equivalent-gestational duration. However, their effect timing, and thus clinical importance, is still unclear. Here, we use genotyping data of 31 000 births from the Norwegian Mother, Father and Child cohort (MoBa) to investigate different models of the genetic pregnancy 'clock'. We conduct genome-wide association studies using gestational duration or preterm birth, replicating known maternal associations and finding one new fetal variant. We illustrate how the interpretation of these results is complicated by the loss of power when dichotomizing. Using flexible survival models, we resolve this complexity and find that many of the known loci have time-varying effects, often stronger early in pregnancy. The overall polygenic control of birth timing appears to be shared in the term and preterm, but not very preterm, periods and exploratory results suggest involvement of the major histocompatibility complex genes in the latter. These findings show that the known gestational duration loci are clinically relevant and should help design further experimental studies.
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Affiliation(s)
- Julius Juodakis
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, University of Gothenburg, Gothenburg 416 50, Sweden
| | - Karin Ytterberg
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, University of Gothenburg, Gothenburg 416 50, Sweden
| | - Christopher Flatley
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, University of Gothenburg, Gothenburg 416 50, Sweden
| | - Pol Sole-Navais
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, University of Gothenburg, Gothenburg 416 50, Sweden
| | - Bo Jacobsson
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, University of Gothenburg, Gothenburg 416 50, Sweden
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo 0456, Norway
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34
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Conole ELS, Vaher K, Cabez MB, Sullivan G, Stevenson AJ, Hall J, Murphy L, Thrippleton MJ, Quigley AJ, Bastin ME, Miron VE, Whalley HC, Marioni RE, Boardman JP, Cox SR. Immuno-epigenetic signature derived in saliva associates with the encephalopathy of prematurity and perinatal inflammatory disorders. Brain Behav Immun 2023; 110:322-338. [PMID: 36948324 DOI: 10.1016/j.bbi.2023.03.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 02/12/2023] [Accepted: 03/16/2023] [Indexed: 03/24/2023] Open
Abstract
BACKGROUND Preterm birth is closely associated with a phenotype that includes brain dysmaturation and neurocognitive impairment, commonly termed Encephalopathy of Prematurity (EoP), of which systemic inflammation is considered a key driver. DNA methylation (DNAm) signatures of inflammation from peripheral blood associate with poor brain imaging outcomes in adult cohorts. However, the robustness of DNAm inflammatory scores in infancy, their relation to comorbidities of preterm birth characterised by inflammation, neonatal neuroimaging metrics of EoP, and saliva cross-tissue applicability are unknown. METHODS Using salivary DNAm from 258 neonates (n = 155 preterm, gestational age at birth 23.28 - 34.84 weeks, n = 103 term, gestational age at birth 37.00 - 42.14 weeks), we investigated the impact of a DNAm surrogate for C-reactive protein (DNAm CRP) on brain structure and other clinically defined inflammatory exposures. We assessed i) if DNAm CRP estimates varied between preterm infants at term equivalent age and term infants, ii) how DNAm CRP related to different types of inflammatory exposure (maternal, fetal and postnatal) and iii) whether elevated DNAm CRP associated with poorer measures of neonatal brain volume and white matter connectivity. RESULTS Higher DNAm CRP was linked to preterm status (-0.0107 ± 0.0008, compared with -0.0118 ± 0.0006 among term infants; p < 0.001), as well as perinatal inflammatory diseases, including histologic chorioamnionitis, sepsis, bronchopulmonary dysplasia, and necrotising enterocolitis (OR range |2.00 | to |4.71|, p < 0.01). Preterm infants with higher DNAm CRP scores had lower brain volume in deep grey matter, white matter, and hippocampi and amygdalae (β range |0.185| to |0.218|). No such associations were observed for term infants. Association magnitudes were largest for measures of white matter microstructure among preterms, where elevated epigenetic inflammation associated with poorer global measures of white matter integrity (β range |0.206| to |0.371|), independent of other confounding exposures. CONCLUSIONS Inflammatory-related DNAm captures the allostatic load of inflammatory burden in preterm infants. Such DNAm measures complement biological and clinical metrics when investigating the determinants of neurodevelopmental differences.
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Affiliation(s)
- Eleanor L S Conole
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK.
| | - Kadi Vaher
- MRC Centre for Reproductive Health, Queen's Medical Research Institute, Edinburgh BioQuarter, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Manuel Blesa Cabez
- MRC Centre for Reproductive Health, Queen's Medical Research Institute, Edinburgh BioQuarter, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Gemma Sullivan
- MRC Centre for Reproductive Health, Queen's Medical Research Institute, Edinburgh BioQuarter, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Anna J Stevenson
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Jill Hall
- MRC Centre for Reproductive Health, Queen's Medical Research Institute, Edinburgh BioQuarter, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Lee Murphy
- Edinburgh Clinical Research Facility, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Michael J Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK; Edinburgh Clinical Research Facility, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Alan J Quigley
- Imaging Department, Royal Hospital for Children and Young People, Edinburgh, EH16 4TJ, UK
| | - Mark E Bastin
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK
| | - Veronique E Miron
- MRC Centre for Reproductive Health, Queen's Medical Research Institute, Edinburgh BioQuarter, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Heather C Whalley
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - James P Boardman
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK; MRC Centre for Reproductive Health, Queen's Medical Research Institute, Edinburgh BioQuarter, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Simon R Cox
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK.
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35
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Carter KA, Fodor AA, Balkus JE, Zhang A, Serrano MG, Buck GA, Engel SM, Wu MC, Sun S. Vaginal Microbiome Metagenome Inference Accuracy: Differential Measurement Error according to Community Composition. mSystems 2023; 8:e0100322. [PMID: 36975801 PMCID: PMC10134888 DOI: 10.1128/msystems.01003-22] [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: 10/21/2022] [Accepted: 02/21/2023] [Indexed: 03/29/2023] Open
Abstract
Several studies have compared metagenome inference performance in different human body sites; however, none specifically reported on the vaginal microbiome. Findings from other body sites cannot easily be generalized to the vaginal microbiome due to unique features of vaginal microbial ecology, and investigators seeking to use metagenome inference in vaginal microbiome research are "flying blind" with respect to potential bias these methods may introduce into analyses. We compared the performance of PICRUSt2 and Tax4Fun2 using paired 16S rRNA gene amplicon sequencing and whole-metagenome sequencing data from vaginal samples from 72 pregnant individuals enrolled in the Pregnancy, Infection, and Nutrition (PIN) cohort. Participants were selected from those with known birth outcomes and adequate 16S rRNA gene amplicon sequencing data in a case-control design. Cases experienced early preterm birth (<32 weeks of gestation), and controls experienced term birth (37 to 41 weeks of gestation). PICRUSt2 and Tax4Fun2 performed modestly overall (median Spearman correlation coefficients between observed and predicted KEGG ortholog [KO] relative abundances of 0.20 and 0.22, respectively). Both methods performed best among Lactobacillus crispatus-dominated vaginal microbiotas (median Spearman correlation coefficients of 0.24 and 0.25, respectively) and worst among Lactobacillus iners-dominated microbiotas (median Spearman correlation coefficients of 0.06 and 0.11, respectively). The same pattern was observed when evaluating correlations between univariable hypothesis test P values generated with observed and predicted metagenome data. Differential metagenome inference performance across vaginal microbiota community types can be considered differential measurement error, which often causes differential misclassification. As such, metagenome inference will introduce hard-to-predict bias (toward or away from the null) in vaginal microbiome research. IMPORTANCE Compared to taxonomic composition, the functional potential within a bacterial community is more relevant to establishing mechanistic understandings and causal relationships between the microbiome and health outcomes. Metagenome inference attempts to bridge the gap between 16S rRNA gene amplicon sequencing and whole-metagenome sequencing by predicting a microbiome's gene content based on its taxonomic composition and annotated genome sequences of its members. Metagenome inference methods have been evaluated primarily among gut samples, where they appear to perform fairly well. Here, we show that metagenome inference performance is markedly worse for the vaginal microbiome and that performance varies across common vaginal microbiome community types. Because these community types are associated with sexual and reproductive outcomes, differential metagenome inference performance will bias vaginal microbiome studies, obscuring relationships of interest. Results from such studies should be interpreted with substantial caution and the understanding that they may over- or underestimate associations with metagenome content.
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Affiliation(s)
- Kayla A. Carter
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Anthony A. Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
| | - Jennifer E. Balkus
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Angela Zhang
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Myrna G. Serrano
- Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Gregory A. Buck
- Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Computer Science, College of Engineering, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Stephanie M. Engel
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Michael C. Wu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Shan Sun
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
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36
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Jin H, Zhang Y, Fan Z, Wang X, Rui C, Xing S, Dong H, Wang Q, Tao F, Zhu Y. Identification of novel cell-free RNAs in maternal plasma as preterm biomarkers in combination with placental RNA profiles. J Transl Med 2023; 21:256. [PMID: 37046301 PMCID: PMC10100253 DOI: 10.1186/s12967-023-04083-w] [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: 01/07/2023] [Accepted: 03/25/2023] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND Preterm birth (PTB) is the main driver of newborn deaths. The identification of pregnancies at risk of PTB remains challenging, as the incomplete understanding of molecular mechanisms associated with PTB. Although several transcriptome studies have been done on the placenta and plasma from PTB women, a comprehensive description of the RNA profiles from plasma and placenta associated with PTB remains lacking. METHODS Candidate markers with consistent trends in the placenta and plasma were identified by implementing differential expression analysis using placental tissue and maternal plasma RNA-seq datasets, and then validated by RT-qPCR in an independent cohort. In combination with bioinformatics analysis tools, we set up two protein-protein interaction networks of the significant PTB-related modules. The support vector machine (SVM) model was used to verify the prediction potential of cell free RNAs (cfRNAs) in plasma for PTB and late PTB. RESULTS We identified 15 genes with consistent regulatory trends in placenta and plasma of PTB while the full term birth (FTB) acts as a control. Subsequently, we verified seven cfRNAs in an independent cohort by RT-qPCR in maternal plasma. The cfRNA ARHGEF28 showed consistence in the experimental validation and performed excellently in prediction of PTB in the model. The AUC achieved 0.990 for whole PTB and 0.986 for late PTB. CONCLUSIONS In a comparison of PTB versus FTB, the combined investigation of placental and plasma RNA profiles has shown a further understanding of the mechanism of PTB. Then, the cfRNA identified has the capacity of predicting whole PTB and late PTB.
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Affiliation(s)
- Heyue Jin
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, Anhui, China
| | - Yimin Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, Anhui, China
| | - Zhigang Fan
- Department of Neonatology, Ma'anshan Maternal and Child Health Hospital, Ma'anshan, Anhui, China
| | - Xianyan Wang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei, Anhui, China
| | - Chen Rui
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei, Anhui, China
| | - Shaozhen Xing
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing, China
| | - Hongmei Dong
- Department of Obstetrics, Ma'anshan Maternal and Child Health Hospital, Ma'anshan, Anhui, China
| | - Qunan Wang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
- Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Hefei, Anhui, China.
| | - Fangbiao Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, Anhui, China.
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, Anhui, China.
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, Anhui, China.
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, Anhui, China.
| | - Yumin Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, Anhui, China.
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, Anhui, China.
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, Anhui, China.
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, Anhui, China.
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Solé-Navais P, Flatley C, Steinthorsdottir V, Vaudel M, Juodakis J, Chen J, Laisk T, LaBella AL, Westergaard D, Bacelis J, Brumpton B, Skotte L, Borges MC, Helgeland Ø, Mahajan A, Wielscher M, Lin F, Briggs C, Wang CA, Moen GH, Beaumont RN, Bradfield JP, Abraham A, Thorleifsson G, Gabrielsen ME, Ostrowski SR, Modzelewska D, Nohr EA, Hypponen E, Srivastava A, Talbot O, Allard C, Williams SM, Menon R, Shields BM, Sveinbjornsson G, Xu H, Melbye M, Lowe W, Bouchard L, Oken E, Pedersen OB, Gudbjartsson DF, Erikstrup C, Sørensen E, Lie RT, Teramo K, Hallman M, Juliusdottir T, Hakonarson H, Ullum H, Hattersley AT, Sletner L, Merialdi M, Rifas-Shiman SL, Steingrimsdottir T, Scholtens D, Power C, West J, Nyegaard M, Capra JA, Skogholt AH, Magnus P, Andreassen OA, Thorsteinsdottir U, Grant SFA, Qvigstad E, Pennell CE, Hivert MF, Hayes GM, Jarvelin MR, McCarthy MI, Lawlor DA, Nielsen HS, Mägi R, Rokas A, Hveem K, Stefansson K, Feenstra B, Njolstad P, Muglia LJ, Freathy RM, Johansson S, Zhang G, Jacobsson B. Genetic effects on the timing of parturition and links to fetal birth weight. Nat Genet 2023; 55:559-567. [PMID: 37012456 PMCID: PMC10101852 DOI: 10.1038/s41588-023-01343-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [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: 05/04/2022] [Accepted: 02/22/2023] [Indexed: 04/05/2023]
Abstract
The timing of parturition is crucial for neonatal survival and infant health. Yet, its genetic basis remains largely unresolved. We present a maternal genome-wide meta-analysis of gestational duration (n = 195,555), identifying 22 associated loci (24 independent variants) and an enrichment in genes differentially expressed during labor. A meta-analysis of preterm delivery (18,797 cases, 260,246 controls) revealed six associated loci and large genetic similarities with gestational duration. Analysis of the parental transmitted and nontransmitted alleles (n = 136,833) shows that 15 of the gestational duration genetic variants act through the maternal genome, whereas 7 act both through the maternal and fetal genomes and 2 act only via the fetal genome. Finally, the maternal effects on gestational duration show signs of antagonistic pleiotropy with the fetal effects on birth weight: maternal alleles that increase gestational duration have negative fetal effects on birth weight. The present study provides insights into the genetic effects on the timing of parturition and the complex maternal-fetal relationship between gestational duration and birth weight.
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Affiliation(s)
- Pol Solé-Navais
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden.
| | - Christopher Flatley
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden
| | | | - Marc Vaudel
- Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Julius Juodakis
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden
| | - Jing Chen
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Triin Laisk
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Abigail L LaBella
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - David Westergaard
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
- Department of Obstetrics and Gynaecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
- Methods and Analysis, Statistics Denmark, Copenhagen, Denmark
| | - Jonas Bacelis
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden
| | - Ben Brumpton
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Line Skotte
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Maria C Borges
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Øyvind Helgeland
- Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Genetics and Bioinformatics, Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Matthias Wielscher
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Department of Dermatology, Medical University of Vienna, Vienna, Austria
| | - Frederick Lin
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Catherine Briggs
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Carol A Wang
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Gunn-Helen Moen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- University of Queensland Diamantina Institute, University of Queensland, Woolloongabba, Australia
| | - Robin N Beaumont
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK
| | | | - Abin Abraham
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Maiken E Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Sisse R Ostrowski
- Department of Clinical Immunology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Dominika Modzelewska
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden
| | - Ellen A Nohr
- Research Unit of Gynecology and Obstetrics, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Elina Hypponen
- Australian Centre for Precision Health, Uni Clinical & Health Sciences, University of South Australia, Adelaide, Australia
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Amit Srivastava
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Human Genetics, Center for the Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Octavious Talbot
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Catherine Allard
- Centre de recherche du Centre hospitalier universitaire de Sherbrooke (CHUS), Sherbrooke, Québec, Canada
| | - Scott M Williams
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Ramkumar Menon
- Department of Obstetrics and Gynaecology, University of Texas Medical Branch, Galveston, TX, USA
| | - Beverley M Shields
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK
| | | | - Huan Xu
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Human Genetics, Center for the Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Mads Melbye
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - William Lowe
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Luigi Bouchard
- Department of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada
- Clinical Department of Laboratory Medicine, Centre intégré universitaire de santé et de services sociaux (CIUSSS) du Saguenay-Lac-St-Jean - Hôpital Universitaire de Chicoutimi, Saguenay, Québec, Canada
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Ole B Pedersen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark
| | - Daniel F Gudbjartsson
- deCODE genetics/Amgen, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health, University of Aarhus, Aarhus, Denmark
| | - Erik Sørensen
- Department of Clinical Immunology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Rolv T Lie
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Kari Teramo
- Department of Obstetrics and Gynecology, Helsinki University Central Hospital, Helsinki, Finland
- University of Helsinki, Helsinki, Finland
| | - Mikko Hallman
- PEDEGO Research Unit and Medical Research Center Oulu, University of Oulu, Oulu, Finland
- Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | | | - Hakon Hakonarson
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Pulmonary Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK
| | - Line Sletner
- Department of Pediatric and Adolescents Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Mario Merialdi
- Maternal Newborn Health Innovations, PBC, Geneva, Switzerland
| | - Sheryl L Rifas-Shiman
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Thora Steingrimsdottir
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Department of Obstetrics and Gynecology, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | - Denise Scholtens
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Christine Power
- Population, Policy, Practice. Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Jane West
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Mette Nyegaard
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - John A Capra
- Bakar Computational Health Sciences Institute and Department of Epidemiology and Statistics, University of California San Francisco, San Francisco, CA, USA
| | - Anne H Skogholt
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Ole A Andreassen
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- NORMENT Centre, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Unnur Thorsteinsdottir
- deCODE genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Struan F A Grant
- Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Spatial and Functional Genomics Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Divisions of Human Genetics and Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Genetics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elisabeth Qvigstad
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Craig E Pennell
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Geoffrey M Hayes
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter of Oulu, University of Oulu, Linnanmaa, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, UK
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, Bristol, UK
| | - Henriette S Nielsen
- Department of Obstetrics and Gynaecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- The Recurrent Pregnancy Loss Unit, The Capital Region, Copenhagen University Hospitals Rigshospitalet & Hvidovre Hospital, Hvidovre, Denmark
| | - Reedik Mägi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
- Department of Medicine, Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Kari Stefansson
- deCODE genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Pål Njolstad
- Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Louis J Muglia
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Human Genetics, Center for the Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Rachel M Freathy
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK
| | - Stefan Johansson
- Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Ge Zhang
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Human Genetics, Center for the Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Bo Jacobsson
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden.
- Department of Genetics and Bioinformatics, Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway.
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Ramos BRA, Tronco JA, Carvalho M, Felix TF, Reis PP, Silveira JC, Silva MG. Circulating Extracellular Vesicles microRNAs Are Altered in Women Undergoing Preterm Birth. Int J Mol Sci 2023; 24:ijms24065527. [PMID: 36982598 PMCID: PMC10058006 DOI: 10.3390/ijms24065527] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 03/16/2023] Open
Abstract
Preterm labor (PTL) and preterm premature rupture of membranes (PPROM) lead to high perinatal morbidity/mortality rates worldwide. Small extracellular vesicles (sEV) act in cell communication and contain microRNAs that may contribute to the pathogenesis of these complications. We aimed to compare the expression, in sEV from peripheral blood, of miRNAs between term and preterm pregnancies. This cross-sectional study included women who underwent PTL, PPROM, and term pregnancies, examined at the Botucatu Medical School Hospital, SP, Brazil. sEV were isolated from plasma. Western blot used to detect exosomal protein CD63 and nanoparticle tracking analysis were performed. The expression of 800 miRNAs was assessed by the nCounter Humanv3 miRNA Assay (NanoString). The miRNA expression and relative risk were determined. Samples from 31 women—15 preterm and 16 term—were included. miR-612 expression was increased in the preterm groups. miR-612 has been shown to increase apoptosis in tumor cells and to regulate the nuclear factor κB inflammatory pathway, processes involved in PTL/PPROM pathogenesis. miR-1253, miR-1283, miR378e, and miR-579-3p, all associated with cellular senescence, were downregulated in PPROM compared with term pregnancies. We conclude that miRNAs from circulating sEV are differentially expressed between term and preterm pregnancies and modulate genes in pathways that are relevant to PTL/PPROM pathogenesis.
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Affiliation(s)
- Bruna Ribeiro Andrade Ramos
- Department of Pathology, Botucatu Medical School, São Paulo State University (UNESP), Botucatu 17213-700, SP, Brazil
- Faculty of Medicine—Jaú Campus, University of Western São Paulo (UNOESTE), Jaú 17213-700, SP, Brazil
- Correspondence: ; Tel.: +55-(14)-3624-1109
| | - Júlia Abbade Tronco
- Department of Pathology, Botucatu Medical School, São Paulo State University (UNESP), Botucatu 17213-700, SP, Brazil
| | - Márcio Carvalho
- Faculty of Veterinary Medicine and Animal Science, São Paulo State University (UNESP), Botucatu 17213-700, SP, Brazil
| | - Tainara Francini Felix
- Experimental Research Unity (UNIPEX), Botucatu Medical School, São Paulo State University (UNESP), Botucatu 17213-700, SP, Brazil
| | - Patrícia Pintor Reis
- Department of Surgery and Orthopedics, Botucatu Medical School, São Paulo State University (UNESP), Botucatu 17213-700, SP, Brazil
| | - Juliano Coelho Silveira
- Department of Veterinary Medicine, Faculty of Animal Science and Food Engineering, São Paulo University (USP), Pirassununga 13635-900, SP, Brazil
| | - Márcia Guimarães Silva
- Department of Pathology, Botucatu Medical School, São Paulo State University (UNESP), Botucatu 17213-700, SP, Brazil
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Guo X, Tang P, Hou C, Liu Y, Li R. Impaired pulmonary function mediates the impact of preterm birth on later-life stroke: a 2-step, multivariable Mendelian randomization study. Epidemiol Health 2023; 45:e2023031. [PMID: 36915271 PMCID: PMC10586927 DOI: 10.4178/epih.e2023031] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 02/22/2023] [Indexed: 03/16/2023] Open
Abstract
OBJECTIVES Observational studies have suggested an association between preterm birth and stroke in late adulthood, but it remains unclear whether the association is causal. The purpose of this study was to evaluate the causal effects of gestational age on stroke and to determine the pathophysiological mechanisms underlying the causal associations. METHODS Two-sample Mendelian randomization (MR) was performed to assess the causal effects of fetal gestational duration, early preterm birth (EPB), preterm birth, or postterm birth on stroke and its subtypes. Two-step Mendelian randomization (TSMR) and multivariable Mendelian randomization (MVMR) were additionally used to determine the role of common stroke risk factors, including cardiovascular diseases, hypertension, pulmonary impairment, inflammation, and metabolic diseases, in mediating the causal associations between gestational age and stroke and its subtypes. RESULTS Genetically predicted EPB increased the risk of cardioembolic stroke (CES; odds ratio [OR], 1.115; 95% confidence interval [CI], 1.036 to 1.200; p=0.004) and large artery stroke (LAS; OR, 1.131; 95% CI, 1.031 to 1.241; p=0.009). The TSMR results showed that EPB was associated with a lower forced expiratory volume in the first second and forced vital capacity ratio (FEV1/FVC) (β=-0.020; 95% CI, -0.035 to -0.005; p=0.009), which increased the risk of CES and LAS. Further MVMR analysis showed that the associations between EPB and stroke disappeared after adjustment for FEV1/FVC. CONCLUSIONS Our data demonstrate that EPB is causally associated with an elevated risk of CES and LAS, and that pulmonary dysfunction mediates the causal impact of EPB on CES and LAS.
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Affiliation(s)
- Xingzhi Guo
- Department of Geriatric Neurology, Shaanxi Provincial People’s Hospital, Xi’an, China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi’an, China
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
| | - Peng Tang
- Department of Geriatric Neurology, Shaanxi Provincial People’s Hospital, Xi’an, China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi’an, China
| | - Chen Hou
- Department of Geriatric Neurology, Shaanxi Provincial People’s Hospital, Xi’an, China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi’an, China
| | - Yue Liu
- Department of Geriatric Neurology, Shaanxi Provincial People’s Hospital, Xi’an, China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi’an, China
| | - Rui Li
- Department of Geriatric Neurology, Shaanxi Provincial People’s Hospital, Xi’an, China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi’an, China
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
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Azmi MB, Khan W, Azim MK, Nisar MI, Jehan F. Identification of potential therapeutic intervening targets by in-silico analysis of nsSNPs in preterm birth-related genes. PLoS One 2023; 18:e0280305. [PMID: 36881567 PMCID: PMC9990928 DOI: 10.1371/journal.pone.0280305] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 12/27/2022] [Indexed: 03/08/2023] Open
Abstract
Prematurity is the foremost cause of death in children under 5 years of age. Genetics contributes to 25-40% of all preterm births (PTB) yet we still need to identify specific targets for intervention based on genetic pathways. This study involved the effect of region-specific non-synonymous variations and their transcript level mutational impact on protein functioning and stability by various in-silico tools. This investigation identifies potential therapeutic targets to manage the challenge of PTB, corresponding protein cavities and explores their binding interactions with intervening compounds. We searched 20 genes coding 55 PTB proteins from NCBI. Single Nucleotide Polymorphisms (SNPs) of concerned genes were extracted from ENSEMBL, and filtration of exonic variants (non-synonymous) was performed. Several in-silico downstream protein functional effect prediction tools were used to identify damaging variants. Rare coding variants were selected with an allele frequency of ≤1% in 1KGD, further supported by South Asian ALFA frequencies and GTEx gene/tissue expression database. CNN1, COL24A1, IQGAP2 and SLIT2 were identified with 7 rare pathogenic variants found in 17 transcript sequences. The functional impact analyses of rs532147352 (R>H) of CNN1 computed through PhD-SNP, PROVEAN, SNP&GO, PMut and MutPred2 algorithms showed impending deleterious effects, and the presence of this pathogenic mutation in CNN1 resulted in large decrease in protein structural stability (ΔΔG (kcal/mol). After structural protein identification, homology modelling of CNN1, which has been previously reported as a biomarker for the prediction of PTB, was performed, followed by the stereochemical quality checks of the 3D model. Blind docking approach were used to search the binding cavities and molecular interactions with progesterone, ranked with energetic estimations. Molecular interactions of CNN1 with progesterone were investigated through LigPlot 2D. Further, molecular docking experimentation of CNN1 showed the significant interactions at S102, L105, A106, K123, Y124 with five selected PTB-drugs, Allylestrenol (-7.56 kcal/mol), Hydroxyprogesterone caproate (-8.19 kcal/mol), Retosiban (-9.43 kcal/mol), Ritodrine (-7.39 kcal/mol) and Terbutaline (-6.87 kcal/mol). Calponin-1 gene and its molecular interaction analysis could serve as an intervention target for the prevention of PTB.
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Affiliation(s)
- Muhammad Bilal Azmi
- Department of Biochemistry, Dow Medical College, Dow University of Health Sciences, Karachi, Pakistan
- Department of Biosciences, Faculty of Life Sciences, Mohammad Ali Jinnah University, Karachi, Pakistan
| | - Waqasuddin Khan
- Biorepositroy and Omics Research Group, Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan
- Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan
- CITRIC Center for Bioinformatics and Computational Biology, Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan
- * E-mail:
| | - M. Kamran Azim
- Department of Biosciences, Faculty of Life Sciences, Mohammad Ali Jinnah University, Karachi, Pakistan
| | - Muhammad Imran Nisar
- Biorepositroy and Omics Research Group, Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan
- Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan
- CITRIC Center for Bioinformatics and Computational Biology, Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan
| | - Fyezah Jehan
- Biorepositroy and Omics Research Group, Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan
- Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan
- CITRIC Center for Bioinformatics and Computational Biology, Department of Pediatrics and Child Health, Faculty of Health Sciences, Medical College, The Aga Khan University, Karachi, Pakistan
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Paquette AG, MacDonald J, Bammler T, Day DB, Loftus CT, Buth E, Mason WA, Bush NR, Lewinn KZ, Marsit C, Litch JA, Gravett M, Enquobahrie DA, Sathyanarayana S. Placental transcriptomic signatures of spontaneous preterm birth. Am J Obstet Gynecol 2023; 228:73.e1-73.e18. [PMID: 35868418 PMCID: PMC9790028 DOI: 10.1016/j.ajog.2022.07.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [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: 03/19/2022] [Revised: 07/01/2022] [Accepted: 07/09/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND Spontaneous preterm birth accounts for most preterm births and leads to significant morbidity in the newborn and childhood period. This subtype of preterm birth represents an increasing proportion of all preterm births when compared with medically indicated preterm birth, yet it is understudied in omics analyses. The placenta is a key regulator of fetal and newborn health, and the placental transcriptome can provide insight into pathologic changes that lead to spontaneous preterm birth. OBJECTIVE This analysis aimed to identify genes for which placental expression was associated with spontaneous preterm birth (including early preterm and late preterm birth). STUDY DESIGN The ECHO PATHWAYS consortium extracted RNA from placental samples collected from the Conditions Affecting Neurocognitive Development and Learning in Early Childhood and the Global Alliance to Prevent Prematurity and Stillbirth studies. Placental transcriptomic data were obtained by RNA sequencing. Linear models were fit to estimate differences in placental gene expression between term birth and spontaneous preterm birth (including gestational age subgroups defined by the American College of Obstetricians and Gynecologists). Models were adjusted for numerous confounding variables, including labor status, cohort, and RNA sequencing batch. This analysis excluded patients with induced labor, chorioamnionitis, multifetal gestations, or medical indications for preterm birth. Our combined cohort contained gene expression data for 14,023 genes in 48 preterm and 540 term samples. Genes and pathways were considered statistically significantly different at false discovery rate-adjusted P value of <.05. RESULTS In total, we identified 1728 genes for which placental expression was associated with spontaneous preterm birth with more differences in expression in early preterm samples than late preterm samples when compared with full-term samples. Of those, 9 genes were significantly decreased in both early and late spontaneous preterm birth, and the strongest associations involved placental expression of IL1B, ALPL, and CRLF1. In early and late preterm samples, we observed decreased expression of genes involved in immune signaling, signal transduction, and endocrine function. CONCLUSION This study provides a comprehensive assessment of the differences in the placental transcriptome associated with spontaneous preterm birth with robust adjustment for confounding. Results of this study are in alignment with the known etiology of spontaneous preterm birth, because we identified multiple genes and pathways for which the placental and chorioamniotic membrane expression was previously associated with prematurity, including IL1B. We identified decreased expression in key signaling pathways that are essential for placental growth and function, which may be related to the etiology of spontaneous preterm birth. We identified increased expression of genes within metabolic pathways associated exclusively with early preterm birth. These signaling and metabolic pathways may provide clinically targetable pathways and biomarkers. The findings presented here can be used to understand underlying pathologic changes in premature placentas, which can inform and improve clinical obstetrics practice.
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Affiliation(s)
- Alison G Paquette
- Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, WA; Department of Pediatrics, University of Washington, Seattle, WA.
| | - James MacDonald
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA
| | - Theo Bammler
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA
| | - Drew B Day
- Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, WA
| | - Christine T Loftus
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA
| | - Erin Buth
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA
| | - W Alex Mason
- Department of Preventative Medicine, University of Tennessee Health Science Center, Memphis, TN
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences, University of San Francisco, San Francisco, CA; Department of Pediatrics, University of San Francisco, San Francisco, CA
| | - Kaja Z Lewinn
- Department of Psychiatry and Behavioral Sciences, University of San Francisco, San Francisco, CA
| | - Carmen Marsit
- Gangarosa Department of Environmental Health, Emory University, Atlanta, GA
| | - James A Litch
- Global Alliance to Prevent Preterm Birth and Stillbirth (GAPPS), Lynnwood, WA
| | - Michael Gravett
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA
| | | | - Sheela Sathyanarayana
- Department of Pediatrics, University of Washington, Seattle, WA; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA; Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, WA; Department of Epidemiology, University of Washington, Seattle, WA
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Mavreli D, Theodora M, Avgeris M, Papantoniou N, Antsaklis P, Daskalakis G, Kolialexi A. First Trimester Maternal Plasma Aberrant miRNA Expression Associated with Spontaneous Preterm Birth. Int J Mol Sci 2022; 23:ijms232314972. [PMID: 36499299 PMCID: PMC9735892 DOI: 10.3390/ijms232314972] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/17/2022] [Accepted: 11/23/2022] [Indexed: 12/05/2022] Open
Abstract
Spontaneous Preterm Delivery (sPTD) is one of the leading causes of perinatal mortality and morbidity worldwide. The present case−control study aims to detect miRNAs differentially expressed in the first trimester maternal plasma with the view to identify predictive biomarkers for sPTD, between 320/7 and 366/7 weeks, that will allow for timely interventions for this serious pregnancy complication. Small RNA sequencing (small RNA-seq) of five samples from women with a subsequent sPTD and their matched controls revealed significant down-regulation of miR-23b-5p and miR-125a-3p in sPTD cases compared to controls, whereas miR-4732-5p was significantly overexpressed. Results were confirmed by qRT-PCR in an independent cohort of 29 sPTD cases and 29 controls. Statistical analysis demonstrated that miR-125a is a promising early predictor for sPTL (AUC: 0.895; 95% CI: 0.814-0.972; p < 0.001), independent of the confounding factors tested, providing a useful basis for the development of a novel non-invasive predictive test to assist clinicians in estimating patient-specific risk.
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Affiliation(s)
- Danai Mavreli
- Laboratory of Medical Genetics, School of Medicine, National and Kapodistrian University of Athens, 106 79 Athens, Greece
| | - Mariana Theodora
- 1st Department of Obstetrics and Gynecology, School of Medicine, National and Kapodistrian University of Athens, 106 79 Athens, Greece
| | - Margaritis Avgeris
- Laboratory of Clinical Biochemistry–Molecular Diagnostics, Second Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, “P. & A. Kyriakou” Children’s Hospital, 106 79 Athens, Greece
| | - Nikolas Papantoniou
- 1st Department of Obstetrics and Gynecology, School of Medicine, National and Kapodistrian University of Athens, 106 79 Athens, Greece
| | - Panagiotis Antsaklis
- 1st Department of Obstetrics and Gynecology, School of Medicine, National and Kapodistrian University of Athens, 106 79 Athens, Greece
| | - George Daskalakis
- 1st Department of Obstetrics and Gynecology, School of Medicine, National and Kapodistrian University of Athens, 106 79 Athens, Greece
| | - Aggeliki Kolialexi
- Department of Genetics, Institute of Child Health, 106 79 Athens, Greece
- Correspondence: ; Tel.: +30-210-7467462; Fax: +210-7795553
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Illarionov RA, Pachuliia OV, Vashukova ES, Tkachenko AA, Maltseva AR, Postnikova TB, Nasykhova YA, Bespalova ON, Glotov AS. Plasma miRNA Profile in High Risk of Preterm Birth during Early and Mid-Pregnancy. Genes (Basel) 2022; 13:genes13112018. [PMID: 36360255 PMCID: PMC9690526 DOI: 10.3390/genes13112018] [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] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 10/31/2022] [Accepted: 10/31/2022] [Indexed: 11/06/2022] Open
Abstract
In recent years evidence has been accumulated showing that miRNAs can act as potential biomarkers or targets for therapy of preterm birth, one of the most important problems in modern obstetrics. We have performed a prospective study of the miRNA profile in the plasma during the first and second trimesters in pregnant women with high risk of preterm birth (n = 13 cases and n = 11 controls). For the study group plasma blood samples at 9–13 weeks before diagnosis and at 22–24 weeks after start of therapy were selected. Using high-throughput sequencing technology we detected differences in the levels of 15 miRNAs (3 upregulated—hsa-miR-122-5p, hsa-miR-34a-5p, hsa-miR-34c-5p; 12 downregulated—hsa-miR-487b-3p, hsa-miR-493-3p, hsa-miR-432-5p, hsa-miR-323b-3p, hsa-miR-369-3p, hsa-miR-134-5p, hsa-miR-431-5p, hsa-miR-485-5p, hsa-miR-382-5p, hsa-miR-369-5p, hsa-miR-485-3p, hsa-miR-127-3p) (log2(FC) ≥ 1.5; FDR ≤ 0.05) during the first trimester compared with the control (non-high-risk of preterm birth pregnant women). All downregulated miRNAs in the first trimester from the placenta-specific C14MC cluster. During the second trimester no differentially expressed miRNAs were found. Our results suggest that the miRNA profile in plasma during early pregnancy may predict a high risk of preterm birth, which is important in preventing gestational problems as early as possible.
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Affiliation(s)
- Roman A. Illarionov
- Department of Genomic Medicine, D.O. Ott Research Institute for Obstetrics, Gynecology, and Reproduction, St. Petersburg 199034, Russia
- Resource Center “Biobank”, St. Petersburg State University, St. Petersburg 199034, Russia
| | - Olga V. Pachuliia
- Department of Genomic Medicine, D.O. Ott Research Institute for Obstetrics, Gynecology, and Reproduction, St. Petersburg 199034, Russia
| | - Elena S. Vashukova
- Department of Genomic Medicine, D.O. Ott Research Institute for Obstetrics, Gynecology, and Reproduction, St. Petersburg 199034, Russia
| | - Alexander A. Tkachenko
- Department of Genomic Medicine, D.O. Ott Research Institute for Obstetrics, Gynecology, and Reproduction, St. Petersburg 199034, Russia
- Institute of Applied Computer Sciences, ITMO University, St. Petersburg 197101, Russia
| | - Anastasia R. Maltseva
- Department of Genomic Medicine, D.O. Ott Research Institute for Obstetrics, Gynecology, and Reproduction, St. Petersburg 199034, Russia
| | - Tatyana B. Postnikova
- Department of Genomic Medicine, D.O. Ott Research Institute for Obstetrics, Gynecology, and Reproduction, St. Petersburg 199034, Russia
| | - Yulia A. Nasykhova
- Department of Genomic Medicine, D.O. Ott Research Institute for Obstetrics, Gynecology, and Reproduction, St. Petersburg 199034, Russia
| | - Olesya N. Bespalova
- Department of Genomic Medicine, D.O. Ott Research Institute for Obstetrics, Gynecology, and Reproduction, St. Petersburg 199034, Russia
| | - Andrey S. Glotov
- Department of Genomic Medicine, D.O. Ott Research Institute for Obstetrics, Gynecology, and Reproduction, St. Petersburg 199034, Russia
- Correspondence:
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Spinillo SL, Farina A, Sotiriadis A, Pozzoni M, Giglio S, Papale M, Candiani M, Cavoretto PI. Pregnancy outcome of confined placental mosaicism: meta-analysis of cohort studies. Am J Obstet Gynecol 2022; 227:714-727.e1. [PMID: 35934121 DOI: 10.1016/j.ajog.2022.07.034] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 07/13/2022] [Accepted: 07/20/2022] [Indexed: 11/01/2022]
Abstract
OBJECTIVE This study aimed to assess the rate of adverse obstetrical and neonatal outcomes in pregnancies diagnosed with confined placental mosaicism relative to that of unaffected controls. DATA SOURCES Web-based databases were searched using relevant key words, and articles published from 1980 to February 2022 were retrieved. STUDY ELIGIBILITY CRITERIA Observational studies in English language including ≥10 cases of singleton pregnancies with diagnosis of confined placental mosaicism were included. The diagnosis was established after detection of any chromosomal abnormality at chorionic villus sampling for any indication, followed by normal karyotype from amniotic fluid or neonatal leukocyte culture. METHODS Two authors independently screened the references for eligibility, data extraction, and assessment of methodological quality using the Newcastle-Ottawa scale. All available obstetrical and neonatal outcomes were recorded. Random-effect meta-analysis was performed to estimate pooled odds ratios and 95% confidence intervals of available outcomes in pregnancies with and without confined placental mosaicism. Statistical heterogeneity was evaluated with I2 statistics (International Prospective Register of Systematic Reviews registration number: CRD42021260319). RESULTS Of the 80 articles reviewed, 8 retrospective matched-cohort studies (708 cases of confined placental mosaicism and 11,599 unaffected controls) compared cases with and without confined placental mosaicism and were included in the meta-analysis. The risk of delivering small-for-gestational-age neonates was significantly increased in confined placental mosaicism pregnancies according to crude analysis (odds ratio, 2.45; 95% confidence interval, 1.23-4.89; I2=72%) and to sensitivity analysis of high-quality studies (odds ratio, 3.65; 95% confidence interval, 2.43-5.57; I2=0%). Similarly, confined placental mosaicism resulted in an increased risk of birthweight below the third centile (odds ratio, 5.33; 95% confidence interval, 1.19-24.19; I2= 83%). Subgroup analysis revealed that the risk of delivering small-for-gestational-age neonates was 3-fold higher for confined placental mosaicism excluding trisomy 16, and 11-fold higher for cases including trisomy 16 only vs unaffected controls, respectively. No difference was found in the risk of low birthweight and preterm birth (at <37 weeks' gestation). Other outcomes were insufficiently reported, therefore they were not analyzed. CONCLUSION Pregnant women prenatally diagnosed with confined placental mosaicism have an increased risk of impaired fetal growth, suggesting the need for intensified antenatal surveillance.
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Affiliation(s)
- Silvia L Spinillo
- Department of Gynecology and Obstetrics, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Hospital, Vita-Salute San Raffaele University, Milan, Italy
| | - Antonio Farina
- Division of Obstetrics and Prenatal Medicine, Department of Medicine and Surgery, (DIMEC) IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Alexandros Sotiriadis
- Faculty of Medicine, Second Department of Obstetrics and Gynecology, Aristotle University of Thessaloniki, Ippokrateio Hospital of Thessaloniki, Thessaloniki, Greece
| | - Mirko Pozzoni
- Department of Gynecology and Obstetrics, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Hospital, Vita-Salute San Raffaele University, Milan, Italy
| | - Sabrina Giglio
- Departments of Medical Science and Public Health and Medical Genetics, Binaghi Hospital, Cagliari, Italy
| | - Margherita Papale
- Department of Gynecology and Obstetrics, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Hospital, Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Candiani
- Department of Gynecology and Obstetrics, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Hospital, Vita-Salute San Raffaele University, Milan, Italy
| | - Paolo I Cavoretto
- Department of Gynecology and Obstetrics, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Hospital, Vita-Salute San Raffaele University, Milan, Italy.
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Küpers LK, Fernández-Barrés S, Nounu A, Friedman C, Fore R, Mancano G, Dabelea D, Rifas-Shiman SL, Mulder RH, Oken E, Johnson L, Bustamante M, Jaddoe VW, Hivert MF, Starling AP, de Vries JH, Sharp GC, Vrijheid M, Felix JF. Maternal Mediterranean diet in pregnancy and newborn DNA methylation: a meta-analysis in the PACE Consortium. Epigenetics 2022; 17:1419-1431. [PMID: 35236238 PMCID: PMC9586614 DOI: 10.1080/15592294.2022.2038412] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 01/20/2022] [Accepted: 02/01/2022] [Indexed: 11/29/2022] Open
Abstract
Higher adherence to the Mediterranean diet during pregnancy is related to a lower risk of preterm birth and to better offspring cardiometabolic health. DNA methylation may be an underlying biological mechanism. We evaluated whether maternal adherence to the Mediterranean diet was associated with offspring cord blood DNA methylation.We meta-analysed epigenome-wide association studies (EWAS) of maternal adherence to the Mediterranean diet during pregnancy and offspring cord blood DNA methylation in 2802 mother-child pairs from five cohorts. We calculated the relative Mediterranean diet (rMED) score with range 0-18 and an adjusted rMED excluding alcohol (rMEDp, range 0-16). DNA methylation was measured using Illumina 450K arrays. We used robust linear regression modelling adjusted for child sex, maternal education, age, smoking, body mass index, energy intake, batch, and cell types. We performed several functional analyses and examined the persistence of differential DNA methylation into childhood (4.5-7.8 y).rMEDp was associated with cord blood DNA methylation at cg23757341 (0.064% increase in DNA methylation per 1-point increase in the rMEDp score, SE = 0.011, P = 2.41 × 10-8). This cytosine-phosphate-guanine (CpG) site maps to WNT5B, associated with adipogenesis and glycaemic phenotypes. We did not identify associations with childhood gene expression, nor did we find enriched biological pathways. The association did not persist into childhood.In this meta-analysis, maternal adherence to the Mediterranean diet (excluding alcohol) during pregnancy was associated with cord blood DNA methylation level at cg23757341. Potential mediation of DNA methylation in associations with offspring health requires further study.
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Affiliation(s)
- Leanne K. Küpers
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Sílvia Fernández-Barrés
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Ciber Epidemiología Y Salud Pública (Ciberesp), Spain
| | - Aayah Nounu
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Bristol Medical School Population Health Sciences, University of Bristol, Bristol, UK
| | - Chloe Friedman
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (Lead) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Ruby Fore
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Giulia Mancano
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Bristol Medical School Population Health Sciences, University of Bristol, Bristol, UK
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (Lead) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sheryl L. Rifas-Shiman
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Rosa H. Mulder
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Laura Johnson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Centre for Exercise, Nutrition and Health Sciences, University of Bristol, Bristol, UK
| | - Mariona Bustamante
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Ciber Epidemiología Y Salud Pública (Ciberesp), Spain
| | - Vincent W.V. Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Anne P. Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (Lead) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jeanne H.M. de Vries
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Gemma C. Sharp
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Bristol Medical School Population Health Sciences, University of Bristol, Bristol, UK
| | - Martine Vrijheid
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Ciber Epidemiología Y Salud Pública (Ciberesp), Spain
| | - Janine F. Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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Jain VG, Monangi N, Zhang G, Muglia LJ. Genetics, epigenetics, and transcriptomics of preterm birth. Am J Reprod Immunol 2022; 88:e13600. [PMID: 35818963 PMCID: PMC9509423 DOI: 10.1111/aji.13600] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [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: 03/25/2022] [Revised: 06/13/2022] [Accepted: 07/06/2022] [Indexed: 11/29/2022] Open
Abstract
Preterm birth contributes significantly to neonatal mortality and morbidity. Despite its global significance, there has only been limited progress in preventing preterm birth. Spontaneous preterm birth (sPTB) results from a wide variety of pathological processes. Although many non-genetic risk factors influence the timing of gestation and labor, compelling evidence supports the role of substantial genetic and epigenetic influences and their interactions with the environment contributing to sPTB. To investigate a common and complex disease such as sPTB, various approaches such as genome-wide association studies, whole-exome sequencing, transcriptomics, and integrative approaches combining these with other 'omics studies have been used. However, many of these studies were typically small or focused on a single ethnicity or geographic region with limited data, particularly in populations at high risk for sPTB, or lacked a robust replication. These studies found many genes involved in the inflammation and immunity-related pathways that may affect sPTB. Recent studies also suggest the role of epigenetic modifications of gene expression by the environmental signals as a potential contributor to the risk of sPTB. Future genetic studies of sPTB should continue to consider the contributions of both maternal and fetal genomes as well as their interaction with the environment.
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Affiliation(s)
- Viral G. Jain
- Division of Neonatology, Department of Pediatrics, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Nagendra Monangi
- Division of Neonatology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children’s Hospital Medical Center and March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Ge Zhang
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children’s Hospital Medical Center and March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Division of Human Genetics, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America
| | - Louis J. Muglia
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children’s Hospital Medical Center and March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, Ohio, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Division of Human Genetics, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America
- Burroughs Wellcome Fund, Research Triangle Park, North Carolina, USA
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Boelig RC, Cahanap TJ, Ma L, Zhan T, Berghella V, Chan JSY, Kraft WK, Mckenzie SE. Platelet protease activated receptor 4 (PAR 4) receptor genotype is associated with an increased risk of preterm birth. J Thromb Haemost 2022; 20:2419-2428. [PMID: 35815338 DOI: 10.1111/jth.15814] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 02/10/2022] [Revised: 05/16/2022] [Accepted: 07/05/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Platelet protease activated receptor-4 (PAR4) Thr120 is a common genetic variant associated with increased platelet activity. Increased platelet activity is implicated in the pathogenesis of preeclampsia and preterm birth. OBJECTIVE Compare the rate of preeclampsia and preterm birth in pregnant individuals homozygous for PAR4 Thr120 variant vs not. STUDY DESIGN This is a prospective cohort study of patients who delivered November 2020-July 2021. Maternal blood collected on admission for PAR4 genotyping. The primary outcome was the rate of preeclampsia/gestational hypertension in those with Thr/Thr genotype compared with Ala/Thr or Ala/Ala. Secondary outcomes included rates of preterm birth and placental pathology. RESULTS Three hundred and twenty singletons were included and 52 (16.3%) were PAR4 Thr/Thr. Those PAR4 Thr/Thr were more likely to be Black (67.3% vs 29.5%, p < .001), younger (28 ± 6 vs 31 ± 6, p = .004), and have higher body mass index (35.2 ± 6.8 vs 33.1 ± 7.4, p = .047). There was no difference in preeclampsia/gestational hypertension (19.2% vs 22.8%, p = .705). Those Thr/Thr had a significantly higher rate of preterm birth (15.4% vs 3.7%, adjusted odds ratio [aOR] 4.04 [1.47-11.10], p = .007), indicated preterm birth because of fetal growth restriction or preeclampsia (5.8% vs 0.4%, aOR 10.03 [1.48-67.87], p = .02), spontaneous preterm birth (7.7% vs 2.2%, aOR 4.81 [1.27-18.27], p = .02), and placental intervillous thrombosis (18.5% vs 7.9%, aOR 4.12 [1.14-14.92], p = .03). CONCLUSION Platelet receptor PAR4 Thr120 is a common variant associated with an increased risk of placental vascular pathology and preterm birth in homozygous individuals. Although a cohort study cannot establish causation, this strong association warrants further exploration.
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Affiliation(s)
- Rupsa C Boelig
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
- Department of Pharmacology and Experimental Therapeutics, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Tara J Cahanap
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Lin Ma
- Cardeza Foundation for Hematologic Research, Department of Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Tingting Zhan
- Division of Biostatistics, Department of Pharmacology and Experimental Therapeutics, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Vincenzo Berghella
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Joanna S Y Chan
- Department of Pathology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Walter K Kraft
- Department of Pharmacology and Experimental Therapeutics, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Steven E Mckenzie
- Cardeza Foundation for Hematologic Research, Department of Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
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48
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Yang Q, Magnus MC, Kilpi F, Santorelli G, Soares AG, West J, Magnus P, Wright J, Håberg SE, Sanderson E, Lawlor DA, Tilling K, Borges MC. Investigating causal relations between sleep duration and risks of adverse pregnancy and perinatal outcomes: linear and nonlinear Mendelian randomization analyses. BMC Med 2022; 20:295. [PMID: 36089592 PMCID: PMC9465870 DOI: 10.1186/s12916-022-02494-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 07/25/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Observational studies have reported maternal short/long sleep duration to be associated with adverse pregnancy and perinatal outcomes. However, it remains unclear whether there are nonlinear causal effects. Our aim was to use Mendelian randomization (MR) and multivariable regression to examine nonlinear effects of sleep duration on stillbirth (MR only), miscarriage (MR only), gestational diabetes, hypertensive disorders of pregnancy, perinatal depression, preterm birth and low/high offspring birthweight. METHODS We used data from European women in UK Biobank (N=176,897), FinnGen (N=~123,579), Avon Longitudinal Study of Parents and Children (N=6826), Born in Bradford (N=2940) and Norwegian Mother, Father and Child Cohort Study (MoBa, N=14,584). We used 78 previously identified genetic variants as instruments for sleep duration and investigated its effects using two-sample, and one-sample nonlinear (UK Biobank only), MR. We compared MR findings with multivariable regression in MoBa (N=76,669), where maternal sleep duration was measured at 30 weeks. RESULTS In UK Biobank, MR provided evidence of nonlinear effects of sleep duration on stillbirth, perinatal depression and low offspring birthweight. Shorter and longer duration increased stillbirth and low offspring birthweight; shorter duration increased perinatal depression. For example, longer sleep duration was related to lower risk of low offspring birthweight (odds ratio 0.79 per 1 h/day (95% confidence interval: 0.67, 0.93)) in the shortest duration group and higher risk (odds ratio 1.40 (95% confidence interval: 1.06, 1.84)) in the longest duration group, suggesting shorter and longer duration increased the risk. These were supported by the lack of evidence of a linear effect of sleep duration on any outcome using two-sample MR. In multivariable regression, risks of all outcomes were higher in the women reporting <5 and ≥10 h/day sleep compared with the reference category of 8-9 h/day, despite some wide confidence intervals. Nonlinear models fitted the data better than linear models for most outcomes (likelihood ratio P-value=0.02 to 3.2×10-52), except for gestational diabetes. CONCLUSIONS Our results show shorter and longer sleep duration potentially causing higher risks of stillbirth, perinatal depression and low offspring birthweight. Larger studies with more cases are needed to detect potential nonlinear effects on hypertensive disorders of pregnancy, preterm birth and high offspring birthweight.
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Affiliation(s)
- Qian Yang
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Maria C Magnus
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Fanny Kilpi
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Gillian Santorelli
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Ana Gonçalves Soares
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jane West
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Siri Eldevik Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Eleanor Sanderson
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- National Institute for Health Research Bristol Biomedical Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
| | - Kate Tilling
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- National Institute for Health Research Bristol Biomedical Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
| | - Maria Carolina Borges
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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Wikström T, Abrahamsson S, Bengtsson‐Palme J, Ek J, Kuusela P, Rekabdar E, Lindgren P, Wennerholm U, Jacobsson B, Valentin L, Hagberg H. Microbial and human transcriptome in vaginal fluid at midgestation: Association with spontaneous preterm delivery. Clin Transl Med 2022; 12:e1023. [PMID: 36103557 PMCID: PMC9473488 DOI: 10.1002/ctm2.1023] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 07/03/2022] [Accepted: 08/08/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Intrauterine infection and inflammation caused by microbial transfer from the vagina are believed to be important factors causing spontaneous preterm delivery (PTD). Multiple studies have examined the relationship between the cervicovaginal microbiome and spontaneous PTD with divergent results. Most studies have applied a DNA-based assessment, providing information on the microbial composition but not transcriptional activity. A transcriptomic approach was applied to investigate differences in the active vaginal microbiome and human transcriptome at midgestation between women delivering spontaneously preterm versus those delivering at term. METHODS Vaginal swabs were collected in women with a singleton pregnancy at 18 + 0 to 20 + 6 gestational weeks. For each case of spontaneous PTD (delivery <37 + 0 weeks) two term controls were randomized (39 + 0 to 40 + 6 weeks). Vaginal specimens were subject to sequencing of both human and microbial RNA. Microbial reads were taxonomically classified using Kraken2 and RefSeq as a reference. Statistical analyses were performed using DESeq2. GSEA and HUMAnN3 were used for pathway analyses. RESULTS We found 17 human genes to be differentially expressed (false discovery rate, FDR < 0.05) in the preterm group (n = 48) compared to the term group (n = 96). Gene expression of kallikrein-2 (KLK2), KLK3 and four isoforms of metallothioneins 1 (MT1s) was higher in the preterm group (FDR < 0.05). We found 11 individual bacterial species to be differentially expressed (FDR < 0.05), most with a low occurrence. No statistically significant differences in bacterial load, diversity or microbial community state types were found between the groups. CONCLUSIONS In our mainly white population, primarily bacterial species of low occurrence were differentially expressed at midgestation in women who delivered preterm versus at term. However, the expression of specific human transcripts including KLK2, KLK3 and several isoforms of MT1s was higher in preterm cases. This is of interest, because these genes may be involved in critical inflammatory pathways associated with spontaneous PTD.
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Affiliation(s)
- Tove Wikström
- Centre of Perinatal Medicine and HealthDepartment of Obstetrics and GynecologyInstitute of Clinical SciencesSahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Department of ObstetricsRegion Västra GötalandSahlgrenska University HospitalGothenburgSweden
| | - Sanna Abrahamsson
- Bioinformatics Core FacilitySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Johan Bengtsson‐Palme
- Department of Infectious DiseasesInstitute of BiomedicineSahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Centre for Antibiotic Resistance Research (CARe) at University of GothenburgGothenburgSweden
- Division of Systems and Synthetic BiologyDepartment ofBiology and Biological EngineeringChalmers University of TechnologyGothenburgSweden
| | - Joakim Ek
- Institute of Neuroscience and PhysiologyDepartment of Physiology Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | | | - Elham Rekabdar
- Bioinformatics Core FacilitySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Peter Lindgren
- Department of Clinical ScienceIntervention and TechnologyKarolinska InstitutetStockholmSweden
- Centre for Fetal MedicineKarolinska University HospitalStockholmSweden
| | - Ulla‐Britt Wennerholm
- Centre of Perinatal Medicine and HealthDepartment of Obstetrics and GynecologyInstitute of Clinical SciencesSahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Department of ObstetricsRegion Västra GötalandSahlgrenska University HospitalGothenburgSweden
| | - Bo Jacobsson
- Centre of Perinatal Medicine and HealthDepartment of Obstetrics and GynecologyInstitute of Clinical SciencesSahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Department of ObstetricsRegion Västra GötalandSahlgrenska University HospitalGothenburgSweden
| | - Lil Valentin
- Department of Obstetrics and GynecologySkåne University HospitalMalmöSweden
- Department of Clinical Sciences MalmöLund UniversityLundSweden
| | - Henrik Hagberg
- Centre of Perinatal Medicine and HealthDepartment of Obstetrics and GynecologyInstitute of Clinical SciencesSahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Department of ObstetricsRegion Västra GötalandSahlgrenska University HospitalGothenburgSweden
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50
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Motomura K, Romero R, Galaz J, Tao L, Garcia-Flores V, Xu Y, Done B, Arenas-Hernandez M, Miller D, Gutierrez-Contreras P, Farias-Jofre M, Aras S, Grossman LI, Tarca AL, Gomez-Lopez N. Fetal and maternal NLRP3 signaling is required for preterm labor and birth. JCI Insight 2022; 7:158238. [PMID: 35993366 PMCID: PMC9462488 DOI: 10.1172/jci.insight.158238] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 07/18/2022] [Indexed: 11/17/2022] Open
Affiliation(s)
- Kenichiro Motomura
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, Michigan, USA, and Bethesda, Maryland, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Roberto Romero
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, Michigan, USA, and Bethesda, Maryland, USA
- Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan, USA
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan, USA
- Detroit Medical Center, Detroit, Michigan, USA
| | - Jose Galaz
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, Michigan, USA, and Bethesda, Maryland, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
- Division of Obstetrics and Gynecology, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Li Tao
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, Michigan, USA, and Bethesda, Maryland, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Valeria Garcia-Flores
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, Michigan, USA, and Bethesda, Maryland, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Yi Xu
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, Michigan, USA, and Bethesda, Maryland, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Bogdan Done
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, Michigan, USA, and Bethesda, Maryland, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Marcia Arenas-Hernandez
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, Michigan, USA, and Bethesda, Maryland, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Derek Miller
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, Michigan, USA, and Bethesda, Maryland, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Pedro Gutierrez-Contreras
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, Michigan, USA, and Bethesda, Maryland, USA
- Division of Obstetrics and Gynecology, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Marcelo Farias-Jofre
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, Michigan, USA, and Bethesda, Maryland, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
- Division of Obstetrics and Gynecology, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Siddhesh Aras
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, Michigan, USA, and Bethesda, Maryland, USA
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan, USA
| | - Lawrence I. Grossman
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, Michigan, USA, and Bethesda, Maryland, USA
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan, USA
| | - Adi L. Tarca
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, Michigan, USA, and Bethesda, Maryland, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
- Department of Computer Science, Wayne State University College of Engineering, Detroit, Michigan, USA
| | - Nardhy Gomez-Lopez
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, Michigan, USA, and Bethesda, Maryland, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
- Department of Biochemistry, Microbiology, and Immunology, Wayne State University School of Medicine, Detroit, Michigan, USA
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