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Xie N, Wang F, Chen D, Zhou J, Xu J, Qu F. Immune dysfunction mediated by the competitive endogenous RNA network in fetal side placental tissue of polycystic ovary syndrome. PLoS One 2024; 19:e0300461. [PMID: 38512862 PMCID: PMC10956758 DOI: 10.1371/journal.pone.0300461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 02/27/2024] [Indexed: 03/23/2024] Open
Abstract
Polycystic ovary syndrome (PCOS), a common endocrine and metabolic disorder affecting women in their reproductive years. Emerging evidence suggests that the maternal-fetal immune system is crucial for proper pregnancy. However, whether immune function is altered at the end of pregnancy in PCOS women and the underlying molecular mechanisms is currently unexplored. Herein, the basic maternal immune system was investigated (n = 136 in the control group; n = 103 in the PCOS group), and whole-transcriptome sequencing was carried out to quantify the mRNAs, miRNAs, and lncRNAs expression levels in fetal side placental tissue of women with PCOS. GO, KEGG, and GSEA analysis were employed for functional enrichment analysis. The process of identifying hub genes was conducted utilizing the protein-protein interaction network. CIBERSORT and Connectivity Map were deployed to determine immune cell infiltration and predict potential drugs, respectively. A network of mRNA-miRNA-lncRNA was constructed and then validated by qRT-PCR. First, red blood cell count, neutrophil count, lymphocyte count, hypersensitive C-reactive protein, and procalcitonin were significantly elevated, while placental growth factor was hindered in PCOS women. We identified 308 DEmRNAs, 77 DEmiRNAs, and 332 DElncRNAs in PCOS samples. Functional enrichment analysis revealed that there were significant changes observed in terms of the immune system, especially the chemokine pathway. Eight genes, including FOS, JUN, EGR1, CXCL10, CXCR1, CXCR2, CXCL11, and CXCL8, were considered as hub genes. Furthermore, the degree of infiltration of neutrophils was dramatically decreased in PCOS tissues. In total, 57 ceRNA events were finally obtained, and immune-related ceRNA networks were validated. Some potential drug candidates, such as enalapril and RS-100329, could have a function in PCOS therapy. This study represents the inaugural attempt to evaluate the immune system at the end of pregnancy and placental ceRNA networks in PCOS, indicating alterations in the chemokine pathway, which may impact fetal and placental growth, and provides new therapy targets.
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Affiliation(s)
- Ningning Xie
- Department of Obstetrics and Gynecology, International Institutes of Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China
| | - Fangfang Wang
- Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Danqing Chen
- Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jue Zhou
- College of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, Zhejiang, China
| | - Jian Xu
- Department of Obstetrics and Gynecology, International Institutes of Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China
| | - Fan Qu
- Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
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Mu F, Wang M, Zeng X, Wang F. Predicting risk of subsequent pregnancy loss among women with recurrent pregnancy loss: An immunological factor-based multivariable model. Am J Reprod Immunol 2024; 91:e13837. [PMID: 38514448 DOI: 10.1111/aji.13837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 02/18/2024] [Accepted: 02/28/2024] [Indexed: 03/23/2024] Open
Abstract
PROBLEM Studies on subsequent pregnancy loss prediction models specific for recurrent pregnancy loss (RPL) patients are very limited. This study aims to develop a risk predictive model based on the immunological parameters for the subsequent pregnancy loss risk in northwest Chinese RPL patients. METHOD OF STUDY Totally of 357 RPL patients recruited from Lanzhou University Second Hospital were included in this retrospective study. Univariate analysis was performed on RPL patients with outcomes of live birth or pregnancy loss. Subsequently, the least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression were utilized to select variables among baseline and clinical characteristics and to develop a pregnancy loss risk prediction model with all 357 RPL patients. The area under the curve (AUC), calibration curve and decision curve analyses were used to evaluate the performance of the prediction model; moreover, 10-fold cross-validation was used for internal validation. RESULTS Ten factors of maternal age, age of menarche, previous pregnancy loss, IL-10, complement 4, IgA, antiprothrombin antibody IgG/IgM, rheumatoid factor IgA, and lupus anticoagulant (LA) 1/LA2 ratio were finally selected as variables for the prediction model of pregnancy loss risk. The AUC value and Hosmer-Lemeshow test p-value of the model were .707 and .599, respectively, indicating a satisfactory discrimination and calibration performance. Moreover, the clinical decision curve suggested this prediction model have a good positive net benefit. CONCLUSIONS This is the first prediction model for the risk of subsequent pregnancy loss in northwest Chinese women with RPL, providing a user-friendly tool to clinicians for the early prediction and timely management of RPL patients.
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Affiliation(s)
- Fangxiang Mu
- Department of Reproductive Medicine, Lanzhou University Second Hospital, Lanzhou, China
| | - Mei Wang
- Department of Reproductive Medicine, Lanzhou University Second Hospital, Lanzhou, China
| | - Xianghui Zeng
- Department of Reproductive Medicine, Lanzhou University Second Hospital, Lanzhou, China
| | - Fang Wang
- Department of Reproductive Medicine, Lanzhou University Second Hospital, Lanzhou, China
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Zhang X, Hu Y, Zhang Z, Zhang X, Liang L, Cui X, Wu Y, Hu F, Wu X. Inhibition of TMUB1 blocks apoptosis and NF-κB pathway-mediated inflammation in recurrent spontaneous abortion. Immun Inflamm Dis 2023; 11:e879. [PMID: 37249279 DOI: 10.1002/iid3.879] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 03/20/2023] [Accepted: 05/13/2023] [Indexed: 05/31/2023] Open
Abstract
INTRODUCTION Approximately 50% of cases with recurrent spontaneous abortion (RSA) have unexplained etiology. Aberrant expression of transmembrane and ubiquitin-like domain containing 1 (TMUB1) is closely related to a series of diseases, including RSA. However, the function and underlying mechanism of TMUB1 in the occurrence of RSA has not been described. METHODS TMUB1 expression was detected in the placental villous tissues of 30 women with normal miscarriages and 12 women with RSA. The pregnant mice were injected intraperitoneally with lipopolysaccharide (LPS) to induce abortion. Human chorionic trophoblast cells were treated with LPS. Pathological analysis of placental tissues was performed by hematoxylin and eosin staining. RESULTS TMUB1 was highly expressed in the placental villous tissues of RSA patients compared to the patients who underwent induced abortions. After LPS administration, the mice exhibited high embryo absorption and pathological alterations, as well as presented an increase in inflammation and apoptosis (the etiology of RSA induction) in placental tissues. Moreover, the upregulated expression of TMUB1 was also found in placental tissues of LPS-induced mice, and further investigation showed that TMUB1 deficiency blocked embryo loss as well as inhibited apoptotic rate and inflammation after LPS activation. Furthermore, we found that the loss of TMUB1 suppressed the phosphorylation of IkappaB kinase (IKK) α/β and attenuated cytoplasmic-nuclear translocation of nuclear factor-κB (NF-κB) p65 in LPS-induced cells. CONCLUSION Our results indicate that TMUB1 may involve in the modulation of apoptosis and NF-κB pathway-mediated inflammation in RSA. Therefore, TMUB1 may develop as a potential biomarker for RSA treatment.
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Affiliation(s)
- Xiuping Zhang
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, Shanxi, China
| | - Yuanjing Hu
- Department of Gynecologic Oncology, Tianjin Central Hospital of Gynecology Obstetrics, Tianjin, China
| | - Zhiping Zhang
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, Shanxi, China
| | - Xueluo Zhang
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, Shanxi, China
| | - Lixia Liang
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, Shanxi, China
| | - Xiangrong Cui
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, Shanxi, China
| | - Yuanxia Wu
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, Shanxi, China
| | - Fen Hu
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, Shanxi, China
| | - Xueqing Wu
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women Health Center of Shanxi, Taiyuan, Shanxi, China
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Designing Effective Multi-Target Drugs and Identifying Biomarkers in Recurrent Pregnancy Loss (RPL) Using In Vivo, In Vitro, and In Silico Approaches. Biomedicines 2023; 11:biomedicines11030879. [PMID: 36979858 PMCID: PMC10045586 DOI: 10.3390/biomedicines11030879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 02/24/2023] [Accepted: 03/08/2023] [Indexed: 03/17/2023] Open
Abstract
Recurrent pregnancy loss (RPL) occurs in approximately 5% of women. Despite an abundance of evidence, the molecular mechanism of RPL’s pathology remains unclear. Here, we report the protective role of polo-like kinase 1 (PLK1) during RPL. We aimed to construct an RPL network utilizing GEO datasets and identified hub high-traffic genes. We also investigated whether the expressions of PLK1 were altered in the chorionic villi collected from women with RPL compared to those from healthy early pregnant women. Gene expression differences were evaluated using both pathway and gene ontology (GO) analyses. The identified genes were validated using in vivo and in vitro models. Mice with PLK1-overexpression and PLK1-knockdown in vitro models were produced by transfecting certain plasmids and si-RNA, respectively. The apoptosis in the chorionic villi, mitochondrial function, and NF-κB signaling activity was evaluated. To suppress the activation of PLK1, the PLK1 inhibitor BI2536 was administered. The HTR-8/SVneo and JEG-3 cell lines were chosen to establish an RPL model in vitro. The NF-κB signaling, Foxo signaling, PI3K/AKT, and endometrial cancer signaling pathways were identified via the RPL regulatory network. The following genes were identified: PLK1 as hub high-traffic gene and MMP2, MMP9, BAX, MFN1, MFN2, FOXO1, OPA1, COX15, BCL2, DRP1, FIS1, TRAF2, and TOP2A. Clinical samples were examined, and the results demonstrated that RPL patients had tissues with decreased PLK1 expression in comparison to women with normal pregnancies (p < 0.01). In vitro, PLK1 knockdown induced the NF-κB signaling pathway and apoptosis activation while decreasing cell invasion, migration, and proliferation (p < 0.05). Furthermore, the in vivo model proved that cell mitochondrial function and chorionic villi development are both hampered by PLK1 suppression. Our findings revealed that the PLK1/TRAF2/NF-κB axis plays a crucial role in RPL-induced chorionic villi dysfunction by regulating mitochondrial dynamics and apoptosis and might be a potential therapeutic target in the clinic.
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Irani D, Balasinor N, Bansal V, Tandon D, Patil A, Singh D. Whole genome bisulfite sequencing of sperm reveals differentially methylated regions in male partners of idiopathic recurrent pregnancy loss cases. Fertil Steril 2023; 119:420-432. [PMID: 36528109 DOI: 10.1016/j.fertnstert.2022.12.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 12/04/2022] [Accepted: 12/07/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To study the genome wide alterations in sperm DNA methylation in male partners of idiopathic recurrent pregnancy loss (iRPL) cases and note regions as potential diagnostic markers. DESIGN Case-control study and methylome analysis of human sperm. SETTING Obstetrics and Gynaecology clinics. PATIENT(S) Control group consists of apparently healthy fertile men having fathered a child within the last 2 years (n = 39); and case group consists of male partners of iRPL cases having ≥2 consecutive 1st trimester pregnancy losses (n = 47). INTERVENTION(S) None. MAIN OUTCOME MEASURE(S) Sperm DNA samples of controls and cases were selected for whole genome bisulfite sequencing analysis based on the previously set thresholds of global methylation levels and methylation levels of imprinted genes (KvDMR and ZAC). Whole genome bisulfite sequencing of selected sperm genomic DNA was performed to identify differentially methylated CpG sites of iRPL cases compared with fertile controls. Pathway analysis of all the differentially methylated genes was done by Database for Annotation, Visualization, and Integrated Discovery annotation tool and Kyoto Encyclopedia of Genes and Genomes tool. Differentially methylated CpGs within genes relevant to embryo and placenta development were selected to further validate their methylation levels in study population by pyrosequencing. RESULT(S) A total of 9497 differentially methylated CpGs with highest enrichment in intronic regions were obtained. In addition, 5352 differentially methylated regions and 2087 differentially methylated genes were noted. Signaling pathways involved in development were enriched on pathway analysis. Select CpGs within genes PPARG, KCNQ1, SETD2, and MAP3K4 showed distinct hypomethylated subpopulations within iRPL study population. CONCLUSION(S) Our study highlights the altered methylation landscape of iRPL sperm, and their possible implications in pathways of embryo and placental development. The CpG sites that are hypomethylated specifically in sperm of iRPL subpopulation can be further assessed as predictive biomarkers.
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Affiliation(s)
- Delna Irani
- Department of Neuroendocrinology, ICMR - National Institute for Research in Reproductive and Child Health, Mumbai, India
| | - Nafisa Balasinor
- Department of Neuroendocrinology, ICMR - National Institute for Research in Reproductive and Child Health, Mumbai, India
| | - Vandana Bansal
- Department of Obstetrics and Gynaecology, Nowrosjee Wadia Maternity Hospital, Mumbai, India
| | - Deepti Tandon
- Department of Clinical Research, ICMR - National Institute for Research in Reproductive and Child Health, Mumbai, India
| | - Anushree Patil
- Department of Clinical Research, ICMR - National Institute for Research in Reproductive and Child Health, Mumbai, India
| | - Dipty Singh
- Department of Neuroendocrinology, ICMR - National Institute for Research in Reproductive and Child Health, Mumbai, India.
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Dysregulation in Multiple Transcriptomic Endometrial Pathways Is Associated with Recurrent Implantation Failure and Recurrent Early Pregnancy Loss. Int J Mol Sci 2022; 23:ijms232416051. [PMID: 36555686 PMCID: PMC9782216 DOI: 10.3390/ijms232416051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 11/08/2022] [Accepted: 12/05/2022] [Indexed: 12/23/2022] Open
Abstract
Overlapping disease aetiologies associated with multiple altered biological processes have been identified that change the endometrial function leading to recurrent implantation failure (RIF) and recurrent early pregnancy loss (REPL). We aimed to provide a detailed insight into the nature of the biological malfunction and related pathways of differentially expressed genes in RIF and REPL. Endometrial biopsies were obtained from 9 women experiencing RIF, REPL and control groups. Affymetrix microarray analysis was performed to measure the gene expression level of the endometrial biopsies. Unsupervised clustering of endometrial samples shows scattered distribution of gene expression between the RIF, REPL and control groups. 2556 and 1174 genes (p value < 0.05, Fold change > 1.2) were significantly altered in the endometria of RIF and REPL patients’ group, respectively compared to the control group. Downregulation in Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of the differentially expressed genes (DEGs) in RIF and REPL including ribosome and oxidative phosphorylation pathways. Gene Ontology (GO) analysis revealed ribosomes and mitochondria inner membrane as the most significantly downregulated cellular component (CC) affected in RIF and REPL. Determination of the dysregulated genes and related biological pathways in RIF and REPL will be key in understanding their molecular pathology and of major importance in addressing diagnosis, prognosis, and treatment issues
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Zhang X, Chen Y, Wang X, Zhang Z, Wang J, Shen Y, Hu Y, Wu X. NINJ1 triggers extravillous trophoblast cell dysfunction through blocking the STAT3 signaling pathway. Genes Genomics 2022; 44:1385-1397. [PMID: 36166142 DOI: 10.1007/s13258-022-01313-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 09/01/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Trophoblasts are the most important parts of the placenta in early pregnancy. Trophoblast cell dysfunction can induce embryo implantation insufficiency, thereby resulting in multiple diseases, including recurrent spontaneous abortion (RSA). A previous study indicates higher nerve injury-induced protein 1 (NINJ1) RNA levels in the villi tissues of RSA patients. OBJECTIVE This study aimed to investigate the effect of NINJ1 on trophoblast behaviors and pregnancy loss. METHODS Fresh villi tissues were obtained from with RSA patients and patients with artificial selective abortion for personal reasons, and NINJ1 expression in these tissues was detected. Extravillous trophoblast cell line HTR-8/SVneo was transfected with small-interfering RNA targeting NINJ1 or NINJ1 overexpression vector to perform loss-/gain-of-function experiments. Spontaneous abortion (SA) was induced by mating CBA/J females with DBA/2 males and the pregnant females were intraperitoneally injected with adenovirus vector carrying NINJ1 short hairpin RNA. RESULTS NINJ1 mRNA and protein levels were higher in the villi tissues of RSA patients than those of artificial selective abortion patients. NINJ1 knockdown promoted trophoblast cell proliferation, migration and invasion but inhibited cell apoptosis. Moreover, conditioned medium from NINJ1-depleted trophoblasts promoted the angiogenesis of human umbilical vein endothelial cells. NINJ1 knockdown also promoted activation of the signal transducer and activator of transcription 3 (STAT3) signaling pathway in trophoblasts, and STAT3 inhibitor reversed NINJ1 knockdown-induced effects on trophoblast behaviors. Furthermore, pregnancy loss was attenuated by NINJ1 inhibition. CONCLUSION NINJ1 contributes to the development of SA and triggers trophoblast cell dysfunction through inhibiting the STAT3 pathway.
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Affiliation(s)
- Xueluo Zhang
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women's Health Center of Shanxi, 13 Xinmin North Street, Xinghualing District, Taiyuan, 030001, Shanxi, China
- Department of Gynecologic Oncology, Clinical School of Obstetrics and Gynecology Center, Tianjin Medical University, Tianjin, China
| | - Yanhua Chen
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women's Health Center of Shanxi, 13 Xinmin North Street, Xinghualing District, Taiyuan, 030001, Shanxi, China
| | - Xianping Wang
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women's Health Center of Shanxi, 13 Xinmin North Street, Xinghualing District, Taiyuan, 030001, Shanxi, China
| | - Zhiping Zhang
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women's Health Center of Shanxi, 13 Xinmin North Street, Xinghualing District, Taiyuan, 030001, Shanxi, China
| | - Jun Wang
- Department of Orthopedics, General Hospital of Tisco (Sixth Hospital of Shanxi Medical University), Taiyuan, China
| | - Yan Shen
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women's Health Center of Shanxi, 13 Xinmin North Street, Xinghualing District, Taiyuan, 030001, Shanxi, China
| | - Yuanjing Hu
- Department of Gynecologic Oncology, Clinical School of Obstetrics and Gynecology Center, Tianjin Medical University, Tianjin, China
| | - Xueqing Wu
- Reproductive Medicine Center, Children's Hospital of Shanxi and Women's Health Center of Shanxi, 13 Xinmin North Street, Xinghualing District, Taiyuan, 030001, Shanxi, China.
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Wang Y, Tang Y, Yang X, Xu J, Chen Y, Xu J, Hu S, Yi P. Immune Dysfunction Mediated by the ceRNA Regulatory Network in Human Placenta Tissue of Intrahepatic Cholestasis Pregnancy. Front Immunol 2022; 13:883971. [PMID: 35812382 PMCID: PMC9263217 DOI: 10.3389/fimmu.2022.883971] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 05/23/2022] [Indexed: 11/22/2022] Open
Abstract
Pregnancy-related intrahepatic cholestasis (ICP) is a serious complication with adverse perinatal outcomes of preterm labor, fetal distress, or stillbirth. As a result, it is important to investigate and identify the potential critical pathogenic mechanisms of ICP. First, we collected the placental tissues from the ICP with placental weight and fetal birth weight loss for the whole transcriptome sequencing. Then we analyzed the differentially expressed (DE) circRNAs (DEcircRNAs) by SRPBM, DElncRNAs by FRKM, DEmiRNAs by TPM, and DEmRNAs by TPM and RSEM. Based on differential expression of term pregnancy placental tissues from pregnancies impacted by ICP (n=7) as compared to gestational aged matched control tissues (n=5), the circ/lncRNA-miRNA-mRNA competitive endogenous RNA (ceRNA) regulatory networks were constructed. The ceRNA regulatory networks covered 3,714 events, including 21 DEmiRNAs, 36 DEcircRNAs, 146 DElncRNAs, and 169 DEmRNAs. According to the functional analysis, ICP complications were linked to the immune system, signal transduction, endocrine system, cell growth and death, and transport and catabolism. Further evidence suggested that the expression of immune-related genes KLRD1, BRAF, and NFATC4 might have a potential ceRNA mechanism by individual lncRNA sponging miR372-3p, miR-371a-3p, miR-7851-3p, and miR-449a to control downstream the level of TNF-α, IFN-γ, and IL-10, thereby regulating the pathophysiology of ICP. Furthermore, our results were validated by the qRT-PCR, western blotting and ELISA assays. In conclusion, this study is the first to evaluate placental ceRNA networks in pregnancies affected by ICP, showing alterations in immune regulatory networks which may impact fetal and placental growth. Overall our these data suggest that the ceRNA regulatory network may refine biomarker predictions for developing novel therapeutic approaches in ICP.
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Affiliation(s)
| | | | | | | | | | - Jing Xu
- *Correspondence: Ping Yi, ; Shan Hu, ; Jing Xu,
| | - Shan Hu
- *Correspondence: Ping Yi, ; Shan Hu, ; Jing Xu,
| | - Ping Yi
- *Correspondence: Ping Yi, ; Shan Hu, ; Jing Xu,
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Li J, Wang L, Ding J, Cheng Y, Diao L, Li L, Zhang Y, Yin T. Multiomics Studies Investigating Recurrent Pregnancy Loss: An Effective Tool for Mechanism Exploration. Front Immunol 2022; 13:826198. [PMID: 35572542 PMCID: PMC9094436 DOI: 10.3389/fimmu.2022.826198] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 03/31/2022] [Indexed: 12/18/2022] Open
Abstract
Patients with recurrent pregnancy loss (RPL) account for approximately 1%-5% of women aiming to achieve childbirth. Although studies have shown that RPL is associated with failure of endometrial decidualization, placental dysfunction, and immune microenvironment disorder at the maternal-fetal interface, the exact pathogenesis remains unknown. With the development of high-throughput technology, more studies have focused on the genomics, transcriptomics, proteomics and metabolomics of RPL, and new gene mutations and new biomarkers of RPL have been discovered, providing an opportunity to explore the pathogenesis of RPL from different biological processes. Bioinformatics analyses of these differentially expressed genes, proteins and metabolites also reflect the biological pathways involved in RPL, laying a foundation for further research. In this review, we summarize the findings of omics studies investigating decidual tissue, villous tissue and blood from patients with RPL and identify some possible limitations of current studies.
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Affiliation(s)
- Jianan Li
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Linlin Wang
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, China.,Shenzhen Key Laboratory of Reproductive Immunology for Peri-implantation, Shenzhen Zhongshan Institute for Reproduction and Genetics, Shenzhen Zhongshan Urology Hospital, Shenzhen, China
| | - Jinli Ding
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yanxiang Cheng
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Lianghui Diao
- Shenzhen Key Laboratory of Reproductive Immunology for Peri-implantation, Shenzhen Zhongshan Institute for Reproduction and Genetics, Shenzhen Zhongshan Urology Hospital, Shenzhen, China
| | - Longfei Li
- Shenzhen Key Laboratory of Reproductive Immunology for Peri-implantation, Shenzhen Zhongshan Institute for Reproduction and Genetics, Shenzhen Zhongshan Urology Hospital, Shenzhen, China
| | - Yan Zhang
- Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, China
| | - Tailang Yin
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, China
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Carey AZ, Blue NR, Varner MW, Page JM, Chaiyakunapruk N, Quinlan AR, Branch DW, Silver RM, Workalemahu T. A Systematic Review to Guide Future Efforts in the Determination of Genetic Causes of Pregnancy Loss. FRONTIERS IN REPRODUCTIVE HEALTH 2021; 3. [PMID: 35462723 PMCID: PMC9031276 DOI: 10.3389/frph.2021.770517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background: Pregnancy loss is the most common obstetric complication occurring in almost 30% of conceptions overall and in 12–14% of clinically recognized pregnancies. Pregnancy loss has strong genetic underpinnings, and despite this consensus, our understanding of its genetic causes remains limited. We conducted a systematic review of genetic factors in pregnancy loss to identify strategies to guide future research.Methods: To synthesize data from population-based association studies on genetics of pregnancy loss, we searched PubMed for relevant articles published between 01/01/2000-01/01/2020. We excluded review articles, case studies, studies with limited sample sizes to detect associations (N < 4), descriptive studies, commentaries, and studies with non-genetic etiologies. Studies were classified based on developmental periods in gestation to synthesize data across various developmental epochs.Results: Our search yielded 580 potential titles with 107 (18%) eligible after title/abstract review. Of these, 54 (50%) were selected for systematic review after full-text review. These studies examined either early pregnancy loss (n = 9 [17%]), pregnancy loss >20 weeks' gestation (n = 10 [18%]), recurrent pregnancy loss (n = 32 [59%]), unclassified pregnancy loss (n = 3 [4%]) as their primary outcomes. Multiple genetic pathways that are essential for embryonic/fetal survival as well as human development were identified.Conclusion: Several genetic pathways may play a role in pregnancy loss across developmental periods in gestation. Systematic evaluation of pregnancy loss across developmental epochs, utilizing whole genome sequencing in families may further elucidate causal genetic mechanisms and identify other pathways critical for embryonic/fetal survival.
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Affiliation(s)
- Andrew Z. Carey
- Department of Obstetrics & Gynecology, University of Utah Health, Salt Lake City, UT, United States
| | - Nathan R. Blue
- Department of Obstetrics & Gynecology, University of Utah Health, Salt Lake City, UT, United States
- Department of Obstetrics and Gynecology, Intermountain Healthcare, Salt Lake City, UT, United States
| | - Michael W. Varner
- Department of Obstetrics & Gynecology, University of Utah Health, Salt Lake City, UT, United States
- Department of Obstetrics and Gynecology, Intermountain Healthcare, Salt Lake City, UT, United States
| | - Jessica M. Page
- Department of Obstetrics & Gynecology, University of Utah Health, Salt Lake City, UT, United States
- Department of Obstetrics and Gynecology, Intermountain Healthcare, Salt Lake City, UT, United States
| | - Nathorn Chaiyakunapruk
- Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, UT, United States
- School of Pharmacy, Monash University Malaysia, Subang Jaya, Malaysia
| | - Aaron R. Quinlan
- Department of Human Genetics, University of Utah, Salt Lake City, UT, United States
- Utah Center for Genetic Discovery, University of Utah, Salt Lake City, UT, United States
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
| | - D. Ware Branch
- Department of Obstetrics & Gynecology, University of Utah Health, Salt Lake City, UT, United States
- Department of Obstetrics and Gynecology, Intermountain Healthcare, Salt Lake City, UT, United States
| | - Robert M. Silver
- Department of Obstetrics & Gynecology, University of Utah Health, Salt Lake City, UT, United States
- Department of Obstetrics and Gynecology, Intermountain Healthcare, Salt Lake City, UT, United States
| | - Tsegaselassie Workalemahu
- Department of Obstetrics & Gynecology, University of Utah Health, Salt Lake City, UT, United States
- *Correspondence: Tsegaselassie Workalemahu
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Flowers AE, Gonzalez TL, Joshi NV, Eisman LE, Clark EL, Buttle RA, Sauro E, DiPentino R, Lin Y, Wu D, Wang Y, Santiskulvong C, Tang J, Lee B, Sun T, Chan JL, Wang ET, Jefferies C, Lawrenson K, Zhu Y, Afshar Y, Tseng HR, Williams J, Pisarska MD. Sex differences in microRNA expression in first and third trimester human placenta†. Biol Reprod 2021; 106:551-567. [PMID: 35040930 DOI: 10.1093/biolre/ioab221] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 11/09/2021] [Accepted: 12/04/2021] [Indexed: 12/13/2022] Open
Abstract
Maternal and fetal pregnancy outcomes related to placental function vary based on fetal sex, which may be due to sexually dimorphic epigenetic regulation of RNA expression. We identified sexually dimorphic miRNA expression throughout gestation in human placentae. Next-generation sequencing identified miRNA expression profiles in first and third trimester uncomplicated pregnancies using tissue obtained at chorionic villous sampling (n = 113) and parturition (n = 47). Sequencing analysis identified 986 expressed mature miRNAs from female and male placentae at first and third trimester (baseMean>10). Of these, 11 sexually dimorphic (FDR < 0.05) miRNAs were identified in the first and 4 in the third trimester, all upregulated in females, including miR-361-5p, significant in both trimesters. Sex-specific analyses across gestation identified 677 differentially expressed (DE) miRNAs at FDR < 0.05 and baseMean>10, with 508 DE miRNAs in common between female-specific and male-specific analysis (269 upregulated in first trimester, 239 upregulated in third trimester). Of those, miR-4483 had the highest fold changes across gestation. There were 62.5% more female exclusive differences with fold change>2 across gestation than male exclusive (52 miRNAs vs 32 miRNAs), indicating miRNA expression across human gestation is sexually dimorphic. Pathway enrichment analysis identified significant pathways that were differentially regulated in first and third trimester as well as across gestation. This work provides the normative sex dimorphic miRNA atlas in first and third trimester, as well as the sex-independent and sex-specific placenta miRNA atlas across gestation, which may be used to identify biomarkers of placental function and direct functional studies investigating placental sex differences.
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Affiliation(s)
- Amy E Flowers
- Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Tania L Gonzalez
- Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Nikhil V Joshi
- Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Laura E Eisman
- Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ekaterina L Clark
- Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Rae A Buttle
- Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Erica Sauro
- Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Rosemarie DiPentino
- Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Yayu Lin
- Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Di Wu
- Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Yizhou Wang
- Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Chintda Santiskulvong
- CS Cancer Applied Genomics Shared Resource, CS Cancer, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jie Tang
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Bora Lee
- Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Tianyanxin Sun
- Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jessica L Chan
- Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Erica T Wang
- Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Caroline Jefferies
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Kate Lawrenson
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Yazhen Zhu
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yalda Afshar
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Hsian-Rong Tseng
- California NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA
| | - John Williams
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Margareta D Pisarska
- Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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12
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Inno R, Kikas T, Lillepea K, Laan M. Coordinated Expressional Landscape of the Human Placental miRNome and Transcriptome. Front Cell Dev Biol 2021; 9:697947. [PMID: 34368147 PMCID: PMC8334369 DOI: 10.3389/fcell.2021.697947] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 06/28/2021] [Indexed: 12/12/2022] Open
Abstract
Placenta is a unique organ that serves its own function, and contributes to maternal gestational adaptation and fetal development. Coordination of its transcriptome to satisfy all the maternal-fetal needs across gestation is not fully understood. MicroRNAs are powerful transcriptome modulators capable to adjust rapidly the expression level and dynamics of large gene sets. This MiR-Seq based study presents a multi-omics investigation of the human placental miRNome and its synergy with the transcriptome. The analysis included 52 placentas representing three trimesters of normal pregnancy, and term cases of late-onset preeclampsia (LO-PE), gestational diabetes and affected fetal growth. Gestational-age dependent differential expression (FDR < 0.05) was detected for 319 of 417 tested miRNAs (76.5%). A shared list of target genes of dynamic miRNAs suggested their coordinated action. The most abundant miR-143-3p revealed as a marker for pregnancy progression. The data suggested critical, but distinct roles of placenta-specific imprinted C19MC and C14MC miRNA clusters. Paternally encoded primate-specific C19MC was highly transcribed during first trimester, potentially fine-tuning the early placental transcriptome in dosage-sensitive manner. Maternally encoded eutherian C14MC showed high expression until term, underlining its key contribution across gestation. A major shift in placental miRNome (16% miRNAs) was observed in LO-PE, but not in other term pregnancy complications. Notably, 13/38 upregulated miRNAs were transcribed from C19MC and only one from C14MC, whereas 11/28 downregulated miRNAs represented C14MC and none C19MC. miR-210-3p, miR-512-5p, miR-32-5p, miR-19a-3p, miR-590-3p, miR-379-5p were differentially expressed in LO-PE and cases of small-for-gestational-age newborns, supporting a shared etiology. Expression correlation analysis with the RNA-Seq data (16,567 genes) of the same samples clustered PE-linked miRNAs into five groups. Large notable clusters of miRNA–gene pairs showing directly and inversely correlated expression dynamics suggested potential functional relationships in both scenarios. The first genome-wide study of placental miR-eQTLs identified 66 placental SNVs associated with the expression of neighboring miRNAs, including PE-linked miRNAs miR-30a-5p, miR-210-3p, miR-490-3p and miR-518-5p. This study provided a rich catalog of miRNAs for further in-depth investigations of their individual and joint effect on placental transcriptome. Several highlighted miRNAs may serve as potential biomarkers for pregnancy monitoring and targets to prevent or treat gestational disorders.
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Affiliation(s)
- Rain Inno
- Human Genetics Research Group, Institute of Biomedicine and Translational Medicine, Faculty of Medicine, University of Tartu, Tartu, Estonia
| | - Triin Kikas
- Human Genetics Research Group, Institute of Biomedicine and Translational Medicine, Faculty of Medicine, University of Tartu, Tartu, Estonia
| | - Kristiina Lillepea
- Human Genetics Research Group, Institute of Biomedicine and Translational Medicine, Faculty of Medicine, University of Tartu, Tartu, Estonia
| | - Maris Laan
- Human Genetics Research Group, Institute of Biomedicine and Translational Medicine, Faculty of Medicine, University of Tartu, Tartu, Estonia
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13
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Yong HEJ, Chan SY. Current approaches and developments in transcript profiling of the human placenta. Hum Reprod Update 2021; 26:799-840. [PMID: 33043357 PMCID: PMC7600289 DOI: 10.1093/humupd/dmaa028] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 06/05/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The placenta is the active interface between mother and foetus, bearing the molecular marks of rapid development and exposures in utero. The placenta is routinely discarded at delivery, providing a valuable resource to explore maternal-offspring health and disease in pregnancy. Genome-wide profiling of the human placental transcriptome provides an unbiased approach to study normal maternal–placental–foetal physiology and pathologies. OBJECTIVE AND RATIONALE To date, many studies have examined the human placental transcriptome, but often within a narrow focus. This review aims to provide a comprehensive overview of human placental transcriptome studies, encompassing those from the cellular to tissue levels and contextualize current findings from a broader perspective. We have consolidated studies into overarching themes, summarized key research findings and addressed important considerations in study design, as a means to promote wider data sharing and support larger meta-analysis of already available data and greater collaboration between researchers in order to fully capitalize on the potential of transcript profiling in future studies. SEARCH METHODS The PubMed database, National Center for Biotechnology Information and European Bioinformatics Institute dataset repositories were searched, to identify all relevant human studies using ‘placenta’, ‘decidua’, ‘trophoblast’, ‘transcriptome’, ‘microarray’ and ‘RNA sequencing’ as search terms until May 2019. Additional studies were found from bibliographies of identified studies. OUTCOMES The 179 identified studies were classifiable into four broad themes: healthy placental development, pregnancy complications, exposures during pregnancy and in vitro placental cultures. The median sample size was 13 (interquartile range 8–29). Transcriptome studies prior to 2015 were predominantly performed using microarrays, while RNA sequencing became the preferred choice in more recent studies. Development of fluidics technology, combined with RNA sequencing, has enabled transcript profiles to be generated of single cells throughout pregnancy, in contrast to previous studies relying on isolated cells. There are several key study aspects, such as sample selection criteria, sample processing and data analysis methods that may represent pitfalls and limitations, which need to be carefully considered as they influence interpretation of findings and conclusions. Furthermore, several areas of growing importance, such as maternal mental health and maternal obesity are understudied and the profiling of placentas from these conditions should be prioritized. WIDER IMPLICATIONS Integrative analysis of placental transcriptomics with other ‘omics’ (methylome, proteome and metabolome) and linkage with future outcomes from longitudinal studies is crucial in enhancing knowledge of healthy placental development and function, and in enabling the underlying causal mechanisms of pregnancy complications to be identified. Such understanding could help in predicting risk of future adversity and in designing interventions that can improve the health outcomes of both mothers and their offspring. Wider collaboration and sharing of placental transcriptome data, overcoming the challenges in obtaining sufficient numbers of quality samples with well-defined clinical characteristics, and dedication of resources to understudied areas of pregnancy will undoubtedly help drive the field forward.
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Affiliation(s)
- Hannah E J Yong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore.,Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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14
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Balan P, Chong YS, Qingsong L, Lim TK, Wong ML, Lopez V, He HG, Seneviratne CJ. Quantitative proteomics analysis identifies salivary biomarkers for early detection of pregnancy loss in a Singaporean cohort-A pilot study. Proteomics Clin Appl 2021; 15:e2000068. [PMID: 33979484 DOI: 10.1002/prca.202000068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 01/19/2021] [Accepted: 05/10/2021] [Indexed: 11/07/2022]
Abstract
PURPOSE Early pregnancy loss (EPL) is one of the most common complications encountered in clinical practice. As most of EPLs occur relatively early on during pregnancy, they are often misunderstood as an expected menstrual cycle. Thus, it is essential to investigate the diagnostic biomarkers for monitoring pregnancy loss for continuous non-invasive monitoring of EPL. EXPERIMENTAL DESIGN Unstimulated saliva was collected from 10 subjects with EPL and a matched cohort of healthy pregnant women as controls. Samples were analyzed using iTRAQ analysis, and ELISA was performed to validate results. RESULTS Enrichment analysis of the 38 differentially abundant proteins identified that regulation of nucleobase, nucleoside, nucleotide, and nucleic acid metabolism was significantly affected in EPL. The nucleosome assembly pathway was significantly underrepresented in EPL and was associated with depletion of histone proteins (H2B, H3, and H4). These results were validated with ELISA experiments. A depletion of histones can impair nucleosome assembly and cause the nuclear machinery to fail. CONCLUSION Regulation of nucleosome is critical for the maintenance of genome stability and epigenetic information, lack of which may lead to pregnancy loss. Thus, assessing and monitoring salivary histone levels in patients with threatened miscarriage can be a quick and easy method of obtaining periodic diagnostic information that can speed up treatment decisions. CLINICAL RELEVANCE There is considerable uncertainty regarding the prognosis of threatened pregnancy, making it stressful for expecting mothers and healthcare professionals. Most EPLs are often misunderstood or ignored as an expected menstrual cycle. Thus it is essential to develop screenings and rapid detection devices using a medium that can be non-invasive and self-performed for continuous monitoring. Using saliva, we have identified that the nucleosome assembly gets affected in EPL with depletion of histone proteins (H2B, H3, and H4). With further verification, these findings can help saliva be utilized as a medium to determine which patients will/will not progress to miscarriage and at what point of their pregnancy. Assessing and monitoring EPL using salivary diagnostics can be a quick and easy method of obtaining periodic diagnostic information that can speed up treatment decisions. Hence, these findings need to be investigated further to improve the prediction of outcomes in women with threatened pregnancy.
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Affiliation(s)
- Preethi Balan
- Singapore Oral Microbiomics Initiative, National Dental Research Institute Singapore, National Dental Center Singapore, Oral Health Academic Clinical Program, Duke NUS Medical School, Singapore
| | - Yap Seng Chong
- Department of Obstetrics and Gynecology, National University Hospital, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Lin Qingsong
- Department of Biological Sciences, Faculty of Science, National University of Singapore, Singapore
| | - Teck Kwang Lim
- Department of Biological Sciences, Faculty of Science, National University of Singapore, Singapore
| | - Mun Loke Wong
- Faculty of Dentistry, National University of Singapore, Singapore
| | | | - Hong-Gu He
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Chaminda Jayampath Seneviratne
- Singapore Oral Microbiomics Initiative, National Dental Research Institute Singapore, National Dental Center Singapore, Oral Health Academic Clinical Program, Duke NUS Medical School, Singapore
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15
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Giri N, Alter BP, Savage SA, Stratton P. Gynaecological and reproductive health of women with telomere biology disorders. Br J Haematol 2021; 193:1238-1246. [PMID: 34019708 DOI: 10.1111/bjh.17545] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 04/18/2021] [Indexed: 12/19/2022]
Abstract
Reproductive health may be adversely impacted in women with dyskeratosis congenita (DC) and related telomere biology disorders (TBD). We evaluated gynaecological problems, fertility, and pregnancy outcomes in 39 females aged 10-81 years who were followed longitudinally in our DC/TBD cohort. Twenty-six had bone marrow failure and 12 underwent haematopoietic cell transplantation. All attained menarche at a normal age. Thirteen women reported menorrhagia; ten used hormonal contraception to reduce bleeding. Nine experienced natural normal-aged menopause. Gynaecological problems (endometriosis = 3, pelvic varicosities = 1, cervical intraepithelial neoplasia = 1, and uterine prolapse = 2) resulted in surgical menopause in seven. Twenty-five of 26 women attempting fertility carried 80 pregnancies with 49 (61%) resulting in livebirths. Ten (38%) women experienced 28 (35%) miscarriages, notably recurrent pregnancy loss in five (19%). Preeclampsia (n = 6, 24%) and progressive cytopenias (n = 10, 40%) resulted in maternal-fetal compromise, including preterm (n = 5) and caesarean deliveries (n = 18, 37%). Gynaecological/reproductive problems were noted mainly in women with autosomal-dominant inheritance; others were still young or died early. Although women with TBDs had normal menarche, fertility, and menopause, gynaecological problems and pregnancy complications leading to caesarean section, preterm delivery, or transfusion support were frequent. Women with TBDs will benefit from multidisciplinary, coordinated care by haematology, gynaecology and maternal-fetal medicine.
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Affiliation(s)
- Neelam Giri
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Blanche P Alter
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Pamela Stratton
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA.,Program in Reproductive and Adult Endocrinology, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
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16
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Ruano CSM, Apicella C, Jacques S, Gascoin G, Gaspar C, Miralles F, Méhats C, Vaiman D. Alternative splicing in normal and pathological human placentas is correlated to genetic variants. Hum Genet 2021; 140:827-848. [PMID: 33433680 PMCID: PMC8052246 DOI: 10.1007/s00439-020-02248-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 12/14/2020] [Indexed: 12/11/2022]
Abstract
Two major obstetric diseases, preeclampsia (PE), a pregnancy-induced endothelial dysfunction leading to hypertension and proteinuria, and intra-uterine growth-restriction (IUGR), a failure of the fetus to acquire its normal growth, are generally triggered by placental dysfunction. Many studies have evaluated gene expression deregulations in these diseases, but none has tackled systematically the role of alternative splicing. In the present study, we show that alternative splicing is an essential feature of placental diseases, affecting 1060 and 1409 genes in PE vs controls and IUGR vs controls, respectively, many of those involved in placental function. While in IUGR placentas, alternative splicing affects genes specifically related to pregnancy, in preeclamptic placentas, it impacts a mix of genes related to pregnancy and brain diseases. Also, alternative splicing variations can be detected at the individual level as sharp splicing differences between different placentas. We correlate these variations with genetic variants to define splicing Quantitative Trait Loci (sQTL) in the subset of the 48 genes the most strongly alternatively spliced in placental diseases. We show that alternative splicing is at least partly piloted by genetic variants located either in cis (52 QTL identified) or in trans (52 QTL identified). In particular, we found four chromosomal regions that impact the splicing of genes in the placenta. The present work provides a new vision of placental gene expression regulation that warrants further studies.
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Affiliation(s)
- Camino S M Ruano
- Université de Paris, Institut Cochin, Inserm U1016, CNRS, 24 rue du Faubourg St Jacques, 75014, Paris, France
| | - Clara Apicella
- Université de Paris, Institut Cochin, Inserm U1016, CNRS, 24 rue du Faubourg St Jacques, 75014, Paris, France
| | - Sébastien Jacques
- Université de Paris, Institut Cochin, Inserm U1016, CNRS, 24 rue du Faubourg St Jacques, 75014, Paris, France
| | - Géraldine Gascoin
- Unité Mixte de Recherche MITOVASC, Équipe Mitolab, CNRS 6015, INSERM U1083, Université d'Angers, Angers, France
- Réanimation et Médecine Néonatales, Centre Hospitalier Universitaire, Angers, France
| | - Cassandra Gaspar
- Sorbonne Université, Inserm, UMS Production et Analyse des Données en Sciences de la vie et en Santé, PASS, Plateforme Post-génomique de la Pitié-Salpêtrière, P3S, 75013, Paris, France
| | - Francisco Miralles
- Université de Paris, Institut Cochin, Inserm U1016, CNRS, 24 rue du Faubourg St Jacques, 75014, Paris, France
| | - Céline Méhats
- Université de Paris, Institut Cochin, Inserm U1016, CNRS, 24 rue du Faubourg St Jacques, 75014, Paris, France
| | - Daniel Vaiman
- Université de Paris, Institut Cochin, Inserm U1016, CNRS, 24 rue du Faubourg St Jacques, 75014, Paris, France.
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17
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RNA Sequencing of Decidua Reveals Differentially Expressed Genes in Recurrent Pregnancy Loss. Reprod Sci 2021; 28:2261-2269. [DOI: 10.1007/s43032-021-00482-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 01/31/2021] [Indexed: 12/20/2022]
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18
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Current knowledge on genetic variants shaping placental transcriptome and their link to gestational and postnatal health. Placenta 2021; 116:2-11. [PMID: 33663810 DOI: 10.1016/j.placenta.2021.02.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Revised: 01/15/2021] [Accepted: 02/16/2021] [Indexed: 12/12/2022]
Abstract
Despite the indispensable role of the placenta in the successful course of pregnancy, regulation of its dynamic transcriptome is still underexplored. The purpose of this literature review was to give an overview and draw attention to the contribution of genetic variation in shaping the human placental gene expression. Studies of placental transcriptome shaped by chromosomal variants are limited and may be confounded by cellular mosaicism and somatic genomic rearrangements. Even in relatively simple cases, such as aneuploidies, the placental transcriptome appears to differ from the assumed systematically increased transcript levels of the involved chromosomes. Single nucleotide variants modulating placental gene expression referred to as expression quantitative trait loci (eQTLs) have been analyzed only in ten candidate gene and three genome-wide association studies (GWAS). The latter identified 417 confident placental eGenes, supported by at least two independent studies. Functional profiling of eGenes highlighted biological pathways important in pregnancy, such as immune response or transmembrane transport activity. A fraction of placental eQTLs (1-3%) co-localize with GWAS loci for adult disorders (metabolic, immunological, neurological), suggesting a co-contributory role of the placenta in the developmental programming of health. Some placental eQTLs have been identified as risk factors for adverse pregnancy outcomes, such as rs4769613 (C > T), located near the FLT1 gene and confidently associated with preeclampsia. More studies are needed to map genetic variants shaping gene expression in different placental cell types across three trimesters in normal and complicated gestations and to clarify to what extent these heritable factors contribute to maternal and offspring disease risks.
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19
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Devesa-Peiro A, Sebastian-Leon P, Garcia-Garcia F, Arnau V, Aleman A, Pellicer A, Diaz-Gimeno P. Uterine disorders affecting female fertility: what are the molecular functions altered in endometrium? Fertil Steril 2021; 113:1261-1274. [PMID: 32482256 DOI: 10.1016/j.fertnstert.2020.01.025] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 12/26/2019] [Accepted: 01/17/2020] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To determine the molecular functions of genes exhibiting altered expression in the endometrium of women with uterine disorders affecting fertility. DESIGN Retrospective analysis integrating case and control data from multiple cohorts with endometrium gene expression in women with uterine disorders. SETTING Infertility research department affiliated with a university hospital. PATIENT(S) Two hundred and forty women, 121 of whom were controls, 119 of whom had endometrial adenocarcinoma (ADC), recurrent implantation failure (RIF), recurrent pregnancy loss (RPL), or stage II-IV endometriosis. INTERVENTION(S) None. MAIN OUTCOME MEASURE(S) Genomewide gene expression and altered molecular functions in the endometrium of each uterine disorder. RESULT(S) Using robust analysis methods, we identified statistically significantly altered endometrial functions in all the uterine disorders. Cell cycle alterations were shared among all the pathologies investigated. Endometriosis was characterized by the down-regulation of ciliary processes. Among the endometriosis, ADC, and RIF samples, mitochondrial dysfunction and protein degradation were shared dysregulated processes. In addition, RPL had the most distinct functional profile, and 95% of affected functions were down-regulated. CONCLUSION(S) The most robust functions dysregulated in the endometrium of patients with uterine disorders across sample cohorts implicated an endometrial factor at the gene expression level. This shared endometrial factor affects endometrial receptivity processes.
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Affiliation(s)
- Almudena Devesa-Peiro
- Department of Genomic and Systems Reproductive Medicine, IVI-RMA (Instituto Valenciano de Infertilidad, Reproductive Medicine Associates) IVI Foundation, Valencia, Spain; Department of Pediatrics, Obstetrics and Gynaecology, University of Valencia, Valencia, Spain
| | - Patricia Sebastian-Leon
- Department of Genomic and Systems Reproductive Medicine, IVI-RMA (Instituto Valenciano de Infertilidad, Reproductive Medicine Associates) IVI Foundation, Valencia, Spain; Instituto de Investigación Sanitaria INCLIVA, University of Valencia, Valencia, Spain
| | - Francisco Garcia-Garcia
- Unit of Bioinformatics and Biostatistics, Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain
| | - Vicente Arnau
- Department of Computer Science, Escuela Técnica Superior de Ingenierías, University of Valencia, Burjassot, Spain, Institute for Integrative Systems Biology (I2SysBio), University of Valencia-CSIC, Paterna, Spain
| | - Alejandro Aleman
- Department of Genomic and Systems Reproductive Medicine, IVI-RMA (Instituto Valenciano de Infertilidad, Reproductive Medicine Associates) IVI Foundation, Valencia, Spain
| | - Antonio Pellicer
- Department of Pediatrics, Obstetrics and Gynaecology, University of Valencia, Valencia, Spain; IVI-RMA IVI Rome, Rome, Italy
| | - Patricia Diaz-Gimeno
- Department of Genomic and Systems Reproductive Medicine, IVI-RMA (Instituto Valenciano de Infertilidad, Reproductive Medicine Associates) IVI Foundation, Valencia, Spain; Instituto de Investigación Sanitaria INCLIVA, University of Valencia, Valencia, Spain.
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20
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Manipulating the Epigenome in Nuclear Transfer Cloning: Where, When and How. Int J Mol Sci 2020; 22:ijms22010236. [PMID: 33379395 PMCID: PMC7794987 DOI: 10.3390/ijms22010236] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 12/24/2020] [Accepted: 12/25/2020] [Indexed: 12/20/2022] Open
Abstract
The nucleus of a differentiated cell can be reprogrammed to a totipotent state by exposure to the cytoplasm of an enucleated oocyte, and the reconstructed nuclear transfer embryo can give rise to an entire organism. Somatic cell nuclear transfer (SCNT) has important implications in animal biotechnology and provides a unique model for studying epigenetic barriers to successful nuclear reprogramming and for testing novel concepts to overcome them. While initial strategies aimed at modulating the global DNA methylation level and states of various histone protein modifications, recent studies use evidence-based approaches to influence specific epigenetic mechanisms in a targeted manner. In this review, we describe-based on the growing number of reports published during recent decades-in detail where, when, and how manipulations of the epigenome of donor cells and reconstructed SCNT embryos can be performed to optimize the process of molecular reprogramming and the outcome of nuclear transfer cloning.
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Laisk T, Soares ALG, Ferreira T, Painter JN, Censin JC, Laber S, Bacelis J, Chen CY, Lepamets M, Lin K, Liu S, Millwood IY, Ramu A, Southcombe J, Andersen MS, Yang L, Becker CM, Børglum AD, Gordon SD, Bybjerg-Grauholm J, Helgeland Ø, Hougaard DM, Jin X, Johansson S, Juodakis J, Kartsonaki C, Kukushkina V, Lind PA, Metspalu A, Montgomery GW, Morris AP, Mors O, Mortensen PB, Njølstad PR, Nordentoft M, Nyholt DR, Lippincott M, Seminara S, Salumets A, Snieder H, Zondervan K, Werge T, Chen Z, Conrad DF, Jacobsson B, Li L, Martin NG, Neale BM, Nielsen R, Walters RG, Granne I, Medland SE, Mägi R, Lawlor DA, Lindgren CM. The genetic architecture of sporadic and multiple consecutive miscarriage. Nat Commun 2020; 11:5980. [PMID: 33239672 PMCID: PMC7689465 DOI: 10.1038/s41467-020-19742-5] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 10/23/2020] [Indexed: 12/17/2022] Open
Abstract
Miscarriage is a common, complex trait affecting ~15% of clinically confirmed pregnancies. Here we present the results of large-scale genetic association analyses with 69,054 cases from five different ancestries for sporadic miscarriage, 750 cases of European ancestry for multiple (≥3) consecutive miscarriage, and up to 359,469 female controls. We identify one genome-wide significant association (rs146350366, minor allele frequency (MAF) 1.2%, P = 3.2 × 10-8, odds ratio (OR) = 1.4) for sporadic miscarriage in our European ancestry meta-analysis and three genome-wide significant associations for multiple consecutive miscarriage (rs7859844, MAF = 6.4%, P = 1.3 × 10-8, OR = 1.7; rs143445068, MAF = 0.8%, P = 5.2 × 10-9, OR = 3.4; rs183453668, MAF = 0.5%, P = 2.8 × 10-8, OR = 3.8). We further investigate the genetic architecture of miscarriage with biobank-scale Mendelian randomization, heritability, and genetic correlation analyses. Our results show that miscarriage etiopathogenesis is partly driven by genetic variation potentially related to placental biology, and illustrate the utility of large-scale biobank data for understanding this pregnancy complication.
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Affiliation(s)
- Triin Laisk
- Department of Obstetrics and Gynecology, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.
- Competence Centre on Health Technologies, Tartu, Estonia.
| | - Ana Luiza G Soares
- MRC Integrated Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Teresa Ferreira
- Big Data Institute, Li Ka Shing Center for Health for Health Information and Discovery, Oxford University, Oxford, UK
| | - Jodie N Painter
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - Jenny C Censin
- Big Data Institute, Li Ka Shing Center for Health for Health Information and Discovery, Oxford University, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Samantha Laber
- Big Data Institute, Li Ka Shing Center for Health for Health Information and Discovery, Oxford University, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Jonas Bacelis
- Department of Obstetrics and Gynecology, Sahlgrenska University Hospital Östra, Gothenburg, Sweden
| | - Chia-Yen Chen
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Maarja Lepamets
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Kuang Lin
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Siyang Liu
- BGI-Shenzhen, Shenzhen, 518083, Guangdong, China
- Bioinformatics Centre, Department of Biology, University of Copenhagen, 2200, Copenhagen, Denmark
| | - Iona Y Millwood
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (PHRU), University of Oxford, Oxford, UK
| | - Avinash Ramu
- Department of Genetics, Washington University in St. Louis, Saint Louis, MO, USA
| | - Jennifer Southcombe
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
| | | | - Ling Yang
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (PHRU), University of Oxford, Oxford, UK
| | - Christian M Becker
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
| | - Anders D Børglum
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Department of Biomedicine and Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus University and University Hospital, Aarhus, Denmark
| | - Scott D Gordon
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - Jonas Bybjerg-Grauholm
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Øyvind Helgeland
- Department of Genetics and Bioinformatics, Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, N-5020, Bergen, Norway
| | - David M Hougaard
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Xin Jin
- BGI-Shenzhen, Shenzhen, 518083, Guangdong, China
- School of Medicine, South China University of Technology, Guangzhou, 510006, Guangdong, China
| | - Stefan Johansson
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, N-5020, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, N-5021, Bergen, Norway
| | - Julius Juodakis
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Christiana Kartsonaki
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (PHRU), University of Oxford, Oxford, UK
| | - Viktorija Kukushkina
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Penelope A Lind
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - Andres Metspalu
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | | | - Andrew P Morris
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Department of Biostatistics, University of Liverpool, Liverpool, UK
| | - Ole Mors
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Aarhus, Denmark
| | - Preben B Mortensen
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Pål R Njølstad
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, N-5020, Bergen, Norway
- Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
| | - Merete Nordentoft
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Copenhagen University Hospital, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| | - Dale R Nyholt
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Margaret Lippincott
- Reproductive Endocrine Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Stephanie Seminara
- Reproductive Endocrine Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Andres Salumets
- Department of Obstetrics and Gynecology, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
- Competence Centre on Health Technologies, Tartu, Estonia
- Institute of Bio- and Translational Medicine, University of Tartu, Tartu, Estonia
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Krina Zondervan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
| | - Thomas Werge
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Institute of Biological Psychiatry, MHC Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Donald F Conrad
- Department of Genetics, Washington University in St. Louis, Saint Louis, MO, USA
| | - Bo Jacobsson
- Department of Obstetrics and Gynecology, Sahlgrenska University Hospital Östra, Gothenburg, Sweden
- Department of Genetics and Bioinformatics, Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | - Liming Li
- Department of Epidemiology & Biostatistics, Peking University Health Science Centre, Peking University, Beijing, China
| | | | - Benjamin M Neale
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Rasmus Nielsen
- Department of Integrative Biology, University of California Berkeley, Berkeley, CA, USA
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Robin G Walters
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (PHRU), University of Oxford, Oxford, UK
| | - Ingrid Granne
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Deborah A Lawlor
- MRC Integrated Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Bristol National Institute of Health Research Biomedical Research Centre, Bristol, UK
| | - Cecilia M Lindgren
- Big Data Institute, Li Ka Shing Center for Health for Health Information and Discovery, Oxford University, Oxford, UK.
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
- Program in Medical and Population Genetics, Broad Institute, Boston, MA, USA.
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22
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Cunningham SJ, Feng L, Allen TK, Reddy TE. Functional Genomics of Healthy and Pathological Fetal Membranes. Front Physiol 2020; 11:687. [PMID: 32655414 PMCID: PMC7325962 DOI: 10.3389/fphys.2020.00687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 05/27/2020] [Indexed: 11/23/2022] Open
Abstract
Premature preterm rupture of membranes (PPROM), rupture of fetal membranes before 37 weeks of gestation, is the leading identifiable cause of spontaneous preterm births. Often there is no obvious cause that is identified in a patient who presents with PPROM. Identifying the upstream molecular events that lead to fetal membrane weakening presents potentially actionable mechanisms which could lead to the identification of at-risk patients and to the development of new therapeutic interventions. Functional genomic studies have transformed understanding of the role of gene regulation in diverse cells and tissues involved health and disease. Here, we review the results of those studies in the context of fetal membranes. We will highlight relevant results from major coordinated functional genomics efforts and from targeted studies focused on individual cell or tissue models. Studies comparing gene expression and DNA methylation between healthy and pathological fetal membranes have found differential regulation between labor and quiescent tissue as well as in preterm births, preeclampsia, and recurrent pregnancy loss. Whole genome and exome sequencing studies have identified common and rare fetal variants associated with preterm births. However, few fetal membrane tissue studies have modeled the response to stimuli relevant to pregnancy. Fetal membranes are readily adaptable to cell culture and relevant cellular phenotypes are readily observable. For these reasons, this is now an unrealized opportunity for genomic studies isolating the effect of cell signaling cascades and mapping the fetal membrane responses that lead to PPROM and other pregnancy complications.
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Affiliation(s)
- Sarah J Cunningham
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, United States.,University Program in Genetics and Genomics, Duke University, Durham, NC, United States.,Center for Genomic and Computational Biology, Duke University, Durham, NC, United States.,Center for Advanced Genomic Technologies, Duke University, Durham, NC, United States
| | - Liping Feng
- Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, United States
| | - Terrence K Allen
- Department of Anesthesiology, Duke University Hospital, Durham, NC, United States
| | - Timothy E Reddy
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, United States.,University Program in Genetics and Genomics, Duke University, Durham, NC, United States.,Center for Genomic and Computational Biology, Duke University, Durham, NC, United States.,Center for Advanced Genomic Technologies, Duke University, Durham, NC, United States
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23
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Association of miRNA-27a and leptin polymorphisms with recurrent pregnancy loss in Egyptian women. Meta Gene 2020. [DOI: 10.1016/j.mgene.2019.100617] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
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24
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Quintero-Ronderos P, Laissue P. Genetic Variants Contributing to Early Recurrent Pregnancy Loss Etiology Identified by Sequencing Approaches. Reprod Sci 2020; 27:1541-1552. [PMID: 32430708 DOI: 10.1007/s43032-020-00187-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Recurrent pregnancy loss (RPL) affects up to 5% of couples. It is believed that genetic factors contribute to the disease's etiology and pathophysiology. Hundreds of genes represent coherent RPL candidates due to mammalian implantation's inherent complexity. Sanger sequencing (direct sequencing) of candidate genes has identified potential RPL causative genes (and variants), including those regulating embryo implantation and pregnancy maintenance. Although this approach is a reliable technique, the simultaneous analysis of large genomic regions is challenging. Next-generation sequencing (NGS) technology has thus emerged as a useful alternative for determining genetic variants and transcriptomic disturbances contributing to monogenic and polygenic diseases pathogenesis. However, interpreting results remains challenging as NGS experiments provide an enormous amount of complex data. The molecular aspects of specific diseases must be fully understood for accurate interpretation of NGS data. This review was thus aimed at describing (for the first time) the most relevant studies involving Sanger and NGS sequencing, leading to the description of variants related to RPL pathogenesis. Successful RPL-related NGS initiatives (including RNAseq-based studies) and future challenges are discussed. We consider that the information given here should be useful for clinicians, scientists, and students to enable a better understanding of RPL etiology. It may also provide a basis for the development of diagnostic/prognostic approaches contributing toward translational medicine.
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Affiliation(s)
- Paula Quintero-Ronderos
- Center For Research in Genetics and Genomics (CIGGUR), GENIUROS Research Group, School of Medicine and Health Sciences, Universidad del Rosario, Carrera 24 N° 63C-69, Bogotá, 1100100, Colombia
| | - Paul Laissue
- Center For Research in Genetics and Genomics (CIGGUR), GENIUROS Research Group, School of Medicine and Health Sciences, Universidad del Rosario, Carrera 24 N° 63C-69, Bogotá, 1100100, Colombia.
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25
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Eltermaa M, Jakobson M, Utt M, Kõks S, Mägi R, Starkopf J. Genetic variants in humanin nuclear isoform gene regions show no association with coronary artery disease. BMC Res Notes 2019; 12:759. [PMID: 31753007 PMCID: PMC6873426 DOI: 10.1186/s13104-019-4807-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 11/14/2019] [Indexed: 12/11/2022] Open
Abstract
Objective Coronary artery disease contributes to noncommunicable disease deaths worldwide. In order to make preventive methods more accurate, we need to know more about the development and progress of this pathology, including the genetic aspects. Humanin is a small peptide known for its cytoprotective and anti-apoptotic properties. Our study looked for genomic associations between humanin-like nuclear isoform genes and coronary artery disease using CARDIoGRAMplusC4D Consortium data. Results Lookup from meta-analysis datasets gave single nucleotide polymorphisms in all 13 humanin-like nuclear isoform genes with the lowest P value for rs6151662 from the MTRNR2L2 gene including the 50 kb flanking region in both directions (P-value = 0.0037). Within the gene region alone the top variant was rs78083998 from the MTRNR2L13 region (meta-analysis P-value = 0.042). None of the found associations were statistically significant after correction for multiple testing. Lookup for expression trait loci in these gene regions gave no statistically significant variants.
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Affiliation(s)
- Mall Eltermaa
- Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.
| | - Maili Jakobson
- Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia
| | - Meeme Utt
- Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.,Institute of Pharmacy, University of Tartu, Tartu, Estonia
| | - Sulev Kõks
- Murdoch University, Murdoch, WA, Australia.,Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia
| | - Reedik Mägi
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Joel Starkopf
- Department of Anaesthesiology and Intensive Care, Tartu University Hospital, Tartu, Estonia
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26
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Kashevarova AA, Skryabin NA, Nikitina TV, Lopatkina ME, Sazhenova EA, Zhigalina DI, Savchenko RR, Lebedev IN. Ontogenetic Pleiotropy of Genes Involved in CNVs in Human Spontaneous Abortions. RUSS J GENET+ 2019. [DOI: 10.1134/s1022795419100065] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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27
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Guo B, Zheng Q. Using Naïve Bayes Algorithm to Estimate the Response to Drug in Lung Cancer Patients. Comb Chem High Throughput Screen 2019; 21:734-748. [PMID: 30686250 DOI: 10.2174/1386207322666190125151624] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Revised: 09/11/2018] [Accepted: 11/02/2018] [Indexed: 11/22/2022]
Abstract
AIM AND OBJECTIVE Lung cancer is a highly heterogeneous cancer, due to the significant differences in molecular levels, resulting in different clinical manifestations of lung cancer patients there is a big difference. Including disease characterization, drug response, the risk of recurrence, survival, etc. Method Clinical patients with lung cancer do not have yet particularly effective treatment options, while patients with lung cancer resistance not only delayed the treatment cycle but also caused strong side effects. Therefore, if we can sum up the abnormalities of functional level from the molecular level, we can scientifically and effectively evaluate the patients' sensitivity to treatment and make the personalized treatment strategies to avoid the side effects caused by over-treatment and improve the prognosis. RESULT & CONCLUSION According to the different sensitivities of lung cancer patients to drug response, this study screened out genes that were significantly associated with drug resistance. The bayes model was used to assess patient resistance.
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Affiliation(s)
- Baoling Guo
- Department of Oncology, Longyan First Hospital, Affiliated to Fujian Medical University, Longyan, China
| | - Qiuxiang Zheng
- Department of Oncology, Longyan First Hospital, Affiliated to Fujian Medical University, Longyan, China
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28
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Pilvar D, Reiman M, Pilvar A, Laan M. Parent-of-origin-specific allelic expression in the human placenta is limited to established imprinted loci and it is stably maintained across pregnancy. Clin Epigenetics 2019; 11:94. [PMID: 31242935 PMCID: PMC6595585 DOI: 10.1186/s13148-019-0692-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 06/06/2019] [Indexed: 12/22/2022] Open
Abstract
Background Genomic imprinting, mediated by parent-of-origin-specific epigenetic silencing, adjusts the gene expression dosage in mammals. We aimed to clarify parental allelic expression in the human placenta for 396 claimed candidate imprinted genes and to assess the evidence for the proposed enrichment of imprinted expression in the placenta. The study utilized RNA-Seq-based transcriptome and genotyping data from 54 parental-placental samples representing the three trimesters of gestation, and term cases of preeclampsia, gestational diabetes, and fetal growth disturbances. Results Almost half of the targeted genes (n = 179; 45%) were either not transcribed or showed limited expression in the human placenta. After filtering for the presence of common exonic SNPs, adequacy of sequencing reads and informative families, 91 genes were retained (43 loci form Geneimprint database; 48 recently proposed genes). Only 11/91 genes (12.1%) showed confident signals of imprinting (binomial test, Bonferroni corrected P < 0.05; > 90% transcripts originating from one parental allele). The confirmed imprinted genes exhibit enriched placental expression (PHLDA2, H19, IGF2, MEST, ZFAT, PLAGL1, AIM1) or are transcribed additionally only in the adrenal gland (MEG3, RTL1, PEG10, DLK1). Parental monoallelic expression showed extreme stability across gestation and in term pregnancy complications. A distinct group of additional 14 genes exhibited a statistically significant bias in parental allelic proportions defined as having 65–90% of reads from one parental allele (e.g., KLHDC10, NLRP2, RHOBTB3, DNMT1). Molecular mechanisms behind biased parental expression are still to be clarified. However, 66 of 91 (72.5%) analyzed candidate imprinted genes showed no signals of deviation from biallelic expression. Conclusions As placental tissue is not included in The Genotype-Tissue Expression (GTEx) project, the study contributed to fill the gap in the knowledge concerning parental allelic expression. A catalog of parental allelic proportions and gene expression of analyzed loci across human gestation and in term pregnancy complications is provided as additional files. The study outcome suggested that true imprinting in the human placenta is restricted to well-characterized loci. High expression of imprinted genes during mid-pregnancy supports their critical role in developmental programming. Consistent with the data on other GTEx tissues, the number of human imprinted genes appears to be overestimated. Electronic supplementary material The online version of this article (10.1186/s13148-019-0692-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Diana Pilvar
- Institute of Biomedicine and Translational Medicine, University of Tartu, Ravila Str, 19 50411, Tartu, Estonia
| | - Mario Reiman
- Institute of Biomedicine and Translational Medicine, University of Tartu, Ravila Str, 19 50411, Tartu, Estonia
| | - Arno Pilvar
- Veeuss OÜ, Jaama tn 185-49, 50705, Tartu, Tartu, Estonia
| | - Maris Laan
- Institute of Biomedicine and Translational Medicine, University of Tartu, Ravila Str, 19 50411, Tartu, Estonia.
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29
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Kikas T, Rull K, Beaumont RN, Freathy RM, Laan M. The Effect of Genetic Variation on the Placental Transcriptome in Humans. Front Genet 2019; 10:550. [PMID: 31244887 PMCID: PMC6581026 DOI: 10.3389/fgene.2019.00550] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Accepted: 05/24/2019] [Indexed: 12/22/2022] Open
Abstract
The knowledge of genetic variants shaping human placental transcriptome is limited and they are not cataloged in the Genotype-Tissue Expression project. So far, only one whole genome analysis of placental expression quantitative trait loci (eQTLs) has been published by Peng et al. (2017) with no external independent validation. We report the second study on the landscape of placental eQTLs. The study aimed to generate a high-confidence list of placental cis-eQTLs and to investigate their potential functional implications. Analysis of cis-eQTLs (±100 kbp from the gene) utilized 40 placental RNA sequencing and respective whole genome genotyping datasets. The identified 199 placental cis-eSNPs represented 88 independent eQTL signals (FDR < 5%). The most significant placental eQTLs (FDR < 10-5) modulated the expression of ribosomal protein RPL9, transcription factor ZSCAN9 and aminopeptidase ERAP2. The analysis confirmed 50 eSNP-eGenes pairs reported by Peng et al. (2017) and thus, can be claimed as robust placental eQTL signals. The study identified also 13 novel placental eGenes. Among these, ZSCAN9 is modulated by several eSNPs (experimentally validated: rs1150707) that have been also shown to affect the methylation level of genes variably escaping X-chromosomal inactivation. The identified 63 placental eGenes exhibited mostly mixed or ubiquitous expression. Functional enrichment analysis highlighted 35 Gene Ontology categories with the top ranking pathways "ruffle membrane" (FDR = 1.81 × 10-2) contributing to the formation of motile cell surface and "ATPase activity, coupled" (FDR = 2.88 × 10-2), critical for the membrane transport. Placental eGenes were also significantly enriched in pathways implicated in development, signaling and immune function. However, this study was not able to confirm a significant overrepresentation of genome-wide association studies top hits among the placental eSNP and eGenes, reported by Peng et al. (2017). The identified eSNPs were further analyzed in association with newborn and pregnancy traits. In the discovery step, a suggestive association was detected between the eQTL of ALPG (rs11678251) and reduced placental, newborn's and infant's weight. Meta-analysis across REPROMETA, HAPPY PREGNANCY, ALSPAC cohorts (n = 6830) did not replicate these findings. In summary, the study emphasizes the role of genetic variation in driving the transcriptome profile of the human placenta and the importance to explore further its functional implications.
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Affiliation(s)
- Triin Kikas
- Human Genetics Research Group, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia
| | - Kristiina Rull
- Human Genetics Research Group, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia
- Women’s Clinic, Tartu University Hospital, Tartu, Estonia
- Department of Obstetrics and Gynecology, University of Tartu, Tartu, Estonia
| | - Robin N. Beaumont
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter, United Kingdom
| | - Rachel M. Freathy
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter, United Kingdom
| | - Maris Laan
- Human Genetics Research Group, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia
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Next generation sequencing in recurrent pregnancy loss-approaches and outcomes. Eur J Med Genet 2019; 63:103644. [PMID: 30991114 DOI: 10.1016/j.ejmg.2019.04.001] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 02/26/2019] [Accepted: 04/02/2019] [Indexed: 12/16/2022]
Abstract
Next generation sequencing (NGS) has revolutionized the diagnosis of postnatal genetic diseases, but so far has been used less frequently to study reproductive disorders. Here we provide an overview of approaches and outcomes of genome sequencing for identifying causes of recurrent pregnancy loss (RPL). This includes exome sequencing to look for pathogenic sequence changes in the whole exome or in a preselected list of genes considered important for early embryonic development and pregnancy maintenance, as well as low coverage whole genome sequencing useful for identifying cryptic balanced chromosome rearrangements and copy number variants (CNVs) in couples with RPL and miscarriages. For the purpose of this review only studies with at least 2 pregnancy losses were included with NGS performed on complete families, or only on miscarriages, couples or females with RPL. Overall, mutations in candidate genes responsible for recurrent embryonic/fetal loss were found in up to 60% of cases, opening the door for possible identification of affected future pregnancies at the preimplantation stage. Recurrence of specific mutations or affected genes in different studies was rare (e.g.DYNC2H1, KIF14, RYR1 and GLE1) however genes involved in cell division, cilia function or fetal movement were frequently identified as candidates, the later possibly reflecting the fact that a large number of studied cases had features of fetal akinesia deformation sequence (FADS). Genome sequencing of the couple and miscarriages is most informative, as it allows analysis of the individual mutations as well as their collective burden on the genome and biological processes. However genome sequencing of the couple with RPL with follow up of candidate parental mutations in miscarriages appears to be a promising avenue when miscarriage DNA amounts or quality are suboptimal for whole genome studies. In the future, increasing the number of studied families, establishment of a database cataloguing CNVs and mutations found in early pregnancy loss as well as their functional assessment in miscarriage cells and parental reproductive tissues is needed for improved understanding of their role in adverse pregnancy outcome.
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The role of FAS, FAS-L, BAX, and BCL-2 gene polymorphisms in determining susceptibility to unexplained recurrent pregnancy loss. J Assist Reprod Genet 2019; 36:995-1002. [PMID: 30937706 DOI: 10.1007/s10815-019-01441-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 03/19/2019] [Indexed: 02/07/2023] Open
Abstract
PURPOSE Idiopathic recurrent pregnancy loss (RPL) is a multifactorial reproductive disorder where an impaired control of apoptosis is likely involved. Triggering the cell death mechanism occurs in a spatiotemporal manner and is strongly related to a healthy pregnancy. Single nucleotide polymorphisms (SNPs) at the regulatory regions of genes are known to influence the expression patterns of apoptosis-related molecules. METHODS A total of 296 unrelated female Brazilian patients were evaluated for clinical-demographic variables and genetic factors: 140 women who had experienced an unexplained RPL (with at least two consecutive abortions) and 156 healthy multiparous women. In all patients, six SNPs were evaluated in genes of apoptosis-related pathways: FAS (rs2234767, rs1800682), FAS-L (rs763110, rs5030772), BAX (rs4645878), and BCL-2 (rs2279115) by PCR followed by a restriction fragment length polymorphism (RFLP)-based analysis. RESULTS The BAX-248GA genotype is independently associated with idiopathic RPL [adjusted OR = 0.30, 95% CI 0.13-0.70, P = 0.005] susceptibility. In the same multivariate model, the variables ethnicity, smoking, and alcohol consumption were statistically associated with RPL susceptibility (P < 0.05). No association with RPL susceptibility was reported for the remaining SNPs. CONCLUSION Our study is the first to evaluate the role of the main SNPs from both the extrinsic and intrinsic apoptosis pathways in RPL susceptibility. The association of BAX-248G/A with RPL susceptibility suggests that maternal predisposition for RPL has an essential contribution from genes involved in the delicate balance of endometrium cell turnover (cell death/proliferation). Therefore, apoptotic genes may represent promising targets for future studies on healthy pregnancies and the spectrum of pregnancy disorders.
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Swieck K, Conta-Steencken A, Middleton FA, Siebert JR, Osterhout DJ, Stelzner DJ. Effect of lesion proximity on the regenerative response of long descending propriospinal neurons after spinal transection injury. BMC Neurosci 2019; 20:10. [PMID: 30885135 PMCID: PMC6421714 DOI: 10.1186/s12868-019-0491-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 03/05/2019] [Indexed: 02/07/2023] Open
Abstract
Background The spinal cord is limited in its capacity to repair after damage caused by injury or disease. However, propriospinal (PS) neurons in the spinal cord have demonstrated a propensity for axonal regeneration after spinal cord injury. They can regrow and extend axonal projections to re-establish connections across a spinal lesion. We have previously reported differential reactions of two distinct PS neuronal populations—short thoracic propriospinal (TPS) and long descending propriospinal tract (LDPT) neurons—following a low thoracic (T10) spinal cord injury in a rat model. Immediately after injury, TPS neurons undergo a strong initial regenerative response, defined by the upregulation of transcripts to several growth factor receptors, and growth associated proteins. Many also initiate a strong apoptotic response, leading to cell death. LDPT neurons, on the other hand, show neither a regenerative nor an apoptotic response. They show either a lowered expression or no change in genes for a variety of growth associated proteins, and these neurons survive for at least 2 months post-axotomy. There are several potential explanations for this lack of cellular response for LDPT neurons, one of which is the distance of the LDPT cell body from the T10 lesion. In this study, we examined the molecular response of LDPT neurons to axotomy caused by a proximal spinal cord lesion. Results Utilizing laser capture microdissection and RNA quantification with branched DNA technology, we analyzed the change in gene expression in LDPT neurons following axotomy near their cell body. Expression patterns of 34 genes selected for their robust responses in TPS neurons were analyzed 3 days following a T2 spinal lesion. Our results show that after axonal injury nearer their cell bodies, there was a differential response of the same set of genes evaluated previously in TPS neurons after proximal axotomy, and LDPT neurons after distal axotomy (T10 spinal transection). The genetic response was much less robust than for TPS neurons after proximal axotomy, included both increased and decreased expression of certain genes, and did not suggest either a major regenerative or apoptotic response within the population of genes examined. Conclusions The data collectively demonstrate that the location of axotomy in relation to the soma of a neuron has a major effect on its ability to mount a regenerative response. However, the data also suggest that there are endogenous differences in the LDPT and TPS neuronal populations that affect their response to axotomy. These phenotypic differences may indicate that different or multiple therapies may be needed following spinal cord injury to stimulate maximal regeneration of all PS axons.
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Affiliation(s)
- Kristen Swieck
- Department of Cell and Developmental Biology, SUNY Upstate Medical University, 750 East Adams Street, Syracuse, NY, 13210, USA
| | - Amanda Conta-Steencken
- Department of Cell and Developmental Biology, SUNY Upstate Medical University, 750 East Adams Street, Syracuse, NY, 13210, USA
| | - Frank A Middleton
- Department of Neuroscience and Physiology, SUNY Upstate Medical University, 750 East Adams Street, Syracuse, NY, 13210, USA
| | - Justin R Siebert
- Department of Biology, Slippery Rock University, 1 Morrow Way, Slippery Rock, PA, 16057, USA
| | - Donna J Osterhout
- Department of Cell and Developmental Biology, SUNY Upstate Medical University, 750 East Adams Street, Syracuse, NY, 13210, USA.
| | - Dennis J Stelzner
- Department of Cell and Developmental Biology, SUNY Upstate Medical University, 750 East Adams Street, Syracuse, NY, 13210, USA
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Quintero-Ronderos P, Laissue P. Genetic Variants Contributing to Early Recurrent Pregnancy Loss Etiology Identified by Sequencing Approaches. Reprod Sci 2019:1933719119831769. [PMID: 30879428 DOI: 10.1177/1933719119831769] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Recurrent pregnancy loss (RPL) affects up to 5% of couples. It is believed that genetic factors contribute to the disease's etiology and pathophysiology. Hundreds of genes represent coherent RPL candidates due to mammalian implantation's inherent complexity. Sanger sequencing (direct sequencing) of candidate genes has identified potential RPL causative genes (and variants), including those regulating embryo implantation and pregnancy maintenance. Although this approach is a reliable technique, the simultaneous analysis of large genomic regions is challenging. Next-generation sequencing (NGS) technology has thus emerged as a useful alternative for determining genetic variants and transcriptomic disturbances contributing to monogenic and polygenic diseases pathogenesis. However, interpreting results remains challenging as NGS experiments provide an enormous amount of complex data. The molecular aspects of specific diseases must be fully understood for accurate interpretation of NGS data. This review was thus aimed at describing (for the first time) the most relevant studies involving Sanger and NGS sequencing, leading to the description of variants related to RPL pathogenesis. Successful RPL-related NGS initiatives (including RNAseq-based studies) and future challenges are discussed. We consider that the information given here should be useful for clinicians, scientists, and students to enable a better understanding of RPL etiology. It may also provide a basis for the development of diagnostic/prognostic approaches contributing toward translational medicine.
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Affiliation(s)
- Paula Quintero-Ronderos
- 1 Center For Research in Genetics and Genomics (CIGGUR), GENIUROS Research Group, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia
| | - Paul Laissue
- 1 Center For Research in Genetics and Genomics (CIGGUR), GENIUROS Research Group, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia
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Zhong J, Chen JM, Chen SL, Yi YF. Constructing a Risk Prediction Model for Lung Cancer Recurrence by Using Gene Function Clustering and Machine Learning. Comb Chem High Throughput Screen 2019; 22:266-275. [PMID: 30698110 DOI: 10.2174/1386207322666190129111749] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 11/02/2018] [Accepted: 11/20/2018] [Indexed: 11/22/2022]
Abstract
OBJECTIVE A significant proportion of patients with early non-small cell lung cancer (NSCLC) can be cured by surgery. The distant metastasis of tumors is the most common cause of treatment failure. Precisely predicting the likelihood that a patient develops distant metastatic risk will help identify patients who can further intervene, such as conventional adjuvant chemotherapy or experimental drugs. METHODS Current molecular biology techniques enable the whole genome screening of differentially expressed genes, and rapid development of a large number of bioinformatics methods to improve prognosis. RESULTS The genes associated with metastasis do not necessarily play a role in the pathogenesis of the disease, but rather reflect the activation of specific signal transduction pathways associated with enhanced migration and invasiveness. CONCLUSION In this study, we discovered several genes related to lung cancer resistance and established a risk model to predict high-risk patients.
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Affiliation(s)
- Jing Zhong
- Department of Cardiothoracic Surgery, The Affiliated Dongnan hospital of Xiamen University, Zhangzhou 363000, China
| | - Jian-Ming Chen
- Department of Cardiothoracic Surgery, The Affiliated Dongnan hospital of Xiamen University, Zhangzhou 363000, China
| | - Song-Lin Chen
- Department of Cardiothoracic Surgery, The Affiliated Dongnan hospital of Xiamen University, Zhangzhou 363000, China
| | - Yun-Feng Yi
- Department of Cardiothoracic Surgery, The Affiliated Dongnan hospital of Xiamen University, Zhangzhou 363000, China
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Yu D, Wang J, Zou H, Feng T, Chen L, Li J, Qi X, Li Z, Duan X, Xu C, Zhang L, Long X, Lan J, Chen C, Wang C, Xu X, Ren J, Zhao Y, Hu X, Lian Z, Men H, Pan D, Li N, Capecchi MR, Du X, Zhao Y, Wu S. Silencing of retrotransposon-derived imprinted gene RTL1 is the main cause for postimplantational failures in mammalian cloning. Proc Natl Acad Sci U S A 2018; 115:E11071-E11080. [PMID: 30381455 PMCID: PMC6255163 DOI: 10.1073/pnas.1814514115] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Substantial rates of fetal loss plague all in vitro procedures involving embryo manipulations, including human-assisted reproduction, and are especially problematic for mammalian cloning where over 90% of reconstructed nuclear transfer embryos are typically lost during pregnancy. However, the epigenetic mechanism of these pregnancy failures has not been well described. Here we performed methylome and transcriptome analyses of pig induced pluripotent stem cells and associated cloned embryos, and revealed that aberrant silencing of imprinted genes, in particular the retrotransposon-derived RTL1 gene, is the principal epigenetic cause of pregnancy failure. Remarkably, restoration of RTL1 expression in pig induced pluripotent stem cells rescued fetal loss. Furthermore, in other mammals, including humans, low RTL1 levels appear to be the main epigenetic cause of pregnancy failure.
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Affiliation(s)
- Dawei Yu
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, 100193 Beijing, China
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China
| | - Jing Wang
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, 100193 Beijing, China
| | - Huiying Zou
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, 100193 Beijing, China
- Embryo Biotechnology and Reproduction Laboratory, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193 Beijing, China
| | - Tao Feng
- College of Veterinary Medicine, China Agricultural University, 100193 Beijing, China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, 100193 Beijing, China
| | - Lei Chen
- Chongqing Academy of Animal Science, 402460 Chongqing, China
| | - Jia Li
- Center for Epigenetics & Disease Prevention, Institute of Biosciences and Technology, College of Medicine, Texas A&M University, Houston, TX 77030
| | - Xiaolan Qi
- College of Veterinary Medicine, China Agricultural University, 100193 Beijing, China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, 100193 Beijing, China
| | - Zhifang Li
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, 100193 Beijing, China
| | - Xiaoyue Duan
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, 100193 Beijing, China
| | - Chunlong Xu
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, 100193 Beijing, China
| | - Liang Zhang
- Chongqing Academy of Animal Science, 402460 Chongqing, China
| | - Xi Long
- Chongqing Academy of Animal Science, 402460 Chongqing, China
| | - Jing Lan
- Chongqing Academy of Animal Science, 402460 Chongqing, China
| | - Chao Chen
- Tang Tang Biomedical Technology (Beijing) Co., 100101 Beijing, China
| | - Chao Wang
- Department of Computer and Technology, Tsinghua University, 100101 Beijing, China
| | - Xinyu Xu
- School of Life Sciences, Tsinghua University, 100101 Beijing, China
| | - Jilong Ren
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China
| | - Yiqiang Zhao
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, 100193 Beijing, China
| | - Xiaoxiang Hu
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, 100193 Beijing, China
| | - Zhengxing Lian
- College of Animal Science and Technology, China Agriculture University, 100193 Beijing, China
| | - Hongsheng Men
- Rat Resource and Research Center, University of Missouri, Columbia, MO 65201
- Department of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO 65201
| | - Dengke Pan
- Embryo Biotechnology and Reproduction Laboratory, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193 Beijing, China
| | - Ning Li
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, 100193 Beijing, China
| | - Mario R Capecchi
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112
| | - Xuguang Du
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, 100193 Beijing, China;
- College of Animal Science and Technology, China Agriculture University, 100193 Beijing, China
| | - Yaofeng Zhao
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, 100193 Beijing, China;
| | - Sen Wu
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, 100193 Beijing, China;
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A multi-step transcriptional cascade underlies vascular regeneration in vivo. Sci Rep 2018; 8:5430. [PMID: 29615716 PMCID: PMC5882937 DOI: 10.1038/s41598-018-23653-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Accepted: 03/13/2018] [Indexed: 01/22/2023] Open
Abstract
The molecular mechanisms underlying vascular regeneration and repair are largely unknown. To gain insight into this process, we developed a method of intima denudation, characterized the progression of endothelial healing, and performed transcriptome analysis over time. Next-generation RNA sequencing (RNAseq) provided a quantitative and unbiased gene expression profile during in vivo regeneration following denudation injury. Our data indicate that shortly after injury, cells immediately adjacent to the wound mount a robust and rapid response with upregulation of genes like Jun, Fos, Myc, as well as cell adhesion genes. This was quickly followed by a wave of proliferative genes. After completion of endothelial healing a vigorous array of extracellular matrix transcripts were upregulated. Gene ontology enrichment and protein network analysis were used to identify transcriptional profiles over time. Further data mining revealed four distinct stages of regeneration: shock, proliferation, acclimation, and maturation. The transcriptional signature of those stages provides insight into the regenerative machinery responsible for arterial repair under normal physiologic conditions.
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Kasak L, Rull K, Sõber S, Laan M. Copy number variation profile in the placental and parental genomes of recurrent pregnancy loss families. Sci Rep 2017; 7:45327. [PMID: 28345611 PMCID: PMC5366903 DOI: 10.1038/srep45327] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Accepted: 02/23/2017] [Indexed: 12/25/2022] Open
Abstract
We have previously shown an extensive load of somatic copy number variations (CNVs) in the human placental genome with the highest fraction detected in normal term pregnancies. Hereby, we hypothesized that insufficient promotion of CNVs may impair placental development and lead to recurrent pregnancy loss (RPL). RPL affects ~3% of couples aiming at childbirth and idiopathic RPL represents ~50% of cases. We analysed placental and parental CNV profiles of idiopathic RPL trios (mother-father-placenta) and duos (mother-placenta). Consistent with the hypothesis, the placental genomes of RPL cases exhibited 2-fold less CNVs compared to uncomplicated 1st trimester pregnancies (P = 0.02). This difference mainly arose from lower number of duplications. Overall, 1st trimester control placentas shared only 5.3% of identified CNV regions with RPL cases, whereas the respective fraction with term placentas was 35.1% (P = 1.1 × 10−9). Disruption of the genes NUP98 (embryonic stem cell development) and MTRR (folate metabolism) was detected exclusively in RPL placentas, potentially indicative to novel loci implicated in RPL. Interestingly, genes with higher overall expression were prone to deletions (>3-fold higher median expression compared to genes unaffected by CNVs, P = 6.69 × 10−20). Additionally, large pericentromeric and subtelomeric CNVs in parental genomes emerged as a risk factor for RPL.
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Affiliation(s)
- Laura Kasak
- Human Molecular Genetics Research Group, Institute of Molecular and Cell Biology, University of Tartu, Riia 23 St., Tartu 51010, Estonia
| | - Kristiina Rull
- Human Molecular Genetics Research Group, Institute of Molecular and Cell Biology, University of Tartu, Riia 23 St., Tartu 51010, Estonia.,Department of Obstetrics and Gynaecology, University of Tartu, Puusepa St. 8, Tartu 51014, Estonia.,Women's Clinic of Tartu University Hospital, Puusepa St. 8, Tartu 51014, Estonia
| | - Siim Sõber
- Human Molecular Genetics Research Group, Institute of Molecular and Cell Biology, University of Tartu, Riia 23 St., Tartu 51010, Estonia.,Institute of Biomedicine and Translational Medicine, University of Tartu, Ravila St. 19, Tartu 51014, Estonia
| | - Maris Laan
- Human Molecular Genetics Research Group, Institute of Molecular and Cell Biology, University of Tartu, Riia 23 St., Tartu 51010, Estonia.,Institute of Biomedicine and Translational Medicine, University of Tartu, Ravila St. 19, Tartu 51014, Estonia
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