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Maksiutenko EM, Barbitoff YA, Nasykhova YA, Pachuliia OV, Lazareva TE, Bespalova ON, Glotov AS. The Landscape of Point Mutations in Human Protein Coding Genes Leading to Pregnancy Loss. Int J Mol Sci 2023; 24:17572. [PMID: 38139401 PMCID: PMC10743817 DOI: 10.3390/ijms242417572] [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: 10/23/2023] [Revised: 12/01/2023] [Accepted: 12/06/2023] [Indexed: 12/24/2023] Open
Abstract
Pregnancy loss is the most frequent complication of a pregnancy which is devastating for affected families and poses a significant challenge for the health care system. Genetic factors are known to play an important role in the etiology of pregnancy loss; however, despite advances in diagnostics, the causes remain unexplained in more than 30% of cases. In this review, we aggregated the results of the decade-long studies into the genetic risk factors of pregnancy loss (including miscarriage, termination for fetal abnormality, and recurrent pregnancy loss) in euploid pregnancies, focusing on the spectrum of point mutations associated with these conditions. We reviewed the evolution of molecular genetics methods used for the genetic research into causes of pregnancy loss, and collected information about 270 individual genetic variants in 196 unique genes reported as genetic cause of pregnancy loss. Among these, variants in 18 genes have been reported by multiple studies, and two or more variants were reported as causing pregnancy loss for 57 genes. Further analysis of the properties of all known pregnancy loss genes showed that they correspond to broadly expressed, highly evolutionary conserved genes involved in crucial cell differentiation and developmental processes and related signaling pathways. Given the features of known genes, we made an effort to construct a list of candidate genes, variants in which may be expected to contribute to pregnancy loss. We believe that our results may be useful for prediction of pregnancy loss risk in couples, as well as for further investigation and revealing genetic etiology of pregnancy loss.
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Affiliation(s)
| | - Yury A. Barbitoff
- Department of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology and Reproductology, Mendeleevskaya Line 3, 199034 St. Petersburg, Russia; (E.M.M.); (Y.A.N.); (O.V.P.); (T.E.L.); (O.N.B.)
| | | | | | | | | | - Andrey S. Glotov
- Department of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology and Reproductology, Mendeleevskaya Line 3, 199034 St. Petersburg, Russia; (E.M.M.); (Y.A.N.); (O.V.P.); (T.E.L.); (O.N.B.)
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Anvar Z, Chakchouk I, Sharif M, Mahadevan S, Nasiotis ET, Su L, Liu Z, Wan YW, Van den Veyver IB. Loss of the Maternal Effect Gene Nlrp2 Alters the Transcriptome of Ovulated Mouse Oocytes and Impacts Expression of Histone Demethylase KDM1B. Reprod Sci 2023; 30:2780-2793. [PMID: 36976514 PMCID: PMC10524210 DOI: 10.1007/s43032-023-01218-8] [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: 11/22/2022] [Accepted: 03/09/2023] [Indexed: 03/29/2023]
Abstract
The subcortical maternal complex (SCMC) is a multiprotein complex in oocytes and preimplantation embryos that is encoded by maternal effect genes. The SCMC is essential for zygote-to-embryo transition, early embryogenesis, and critical zygotic cellular processes, including spindle positioning and symmetric division. Maternal deletion of Nlrp2, which encodes an SCMC protein, results in increased early embryonic loss and abnormal DNA methylation in embryos. We performed RNA sequencing on pools of meiosis II (MII) oocytes from wild-type and Nlrp2-null female mice that were isolated from cumulus-oocyte complexes (COCs) after ovarian stimulation. Using a mouse reference genome-based analysis, we found 231 differentially expressed genes (DEGs) in Nlrp2-null compared to WT oocytes (123 up- and 108 downregulated; adjusted p < 0.05). The upregulated genes include Kdm1b, a H3K4 histone demethylase required during oocyte development for the establishment of DNA methylation marks at CpG islands, including those at imprinted genes. The identified DEGs are enriched for processes involved in neurogenesis, gland morphogenesis, and protein metabolism and for post-translationally methylated proteins. When we compared our RNA sequencing data to an oocyte-specific reference transcriptome that contains many previously unannotated transcripts, we found 228 DEGs, including genes not identified with the first analysis. Interestingly, 68% and 56% of DEGs from the first and second analyses, respectively, overlap with oocyte-specific hyper- and hypomethylated domains. This study shows that there are substantial changes in the transcriptome of mouse MII oocytes from female mice with loss of function of Nlrp2, a maternal effect gene that encodes a member of the SCMC.
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Affiliation(s)
- Zahra Anvar
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX, USA
- Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Imen Chakchouk
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX, USA
- Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Momal Sharif
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX, USA
- Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Sangeetha Mahadevan
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX, USA
- Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Eleni Theodora Nasiotis
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX, USA
- Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Li Su
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX, USA
- Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Zhandong Liu
- Department of Pediatrics - Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Ying-Wooi Wan
- Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA.
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
| | - Ignatia B Van den Veyver
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX, USA.
- Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA.
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
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Latham KE. Preimplantation embryo gene expression: 56 years of discovery, and counting. Mol Reprod Dev 2023; 90:169-200. [PMID: 36812478 DOI: 10.1002/mrd.23676] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 01/23/2023] [Accepted: 02/08/2023] [Indexed: 02/24/2023]
Abstract
The biology of preimplantation embryo gene expression began 56 years ago with studies of the effects of protein synthesis inhibition and discovery of changes in embryo metabolism and related enzyme activities. The field accelerated rapidly with the emergence of embryo culture systems and progressively evolving methodologies that have allowed early questions to be re-addressed in new ways and in greater detail, leading to deeper understanding and progressively more targeted studies to discover ever more fine details. The advent of technologies for assisted reproduction, preimplantation genetic testing, stem cell manipulations, artificial gametes, and genetic manipulation, particularly in experimental animal models and livestock species, has further elevated the desire to understand preimplantation development in greater detail. The questions that drove enquiry from the earliest years of the field remain drivers of enquiry today. Our understanding of the crucial roles of oocyte-expressed RNA and proteins in early embryos, temporal patterns of embryonic gene expression, and mechanisms controlling embryonic gene expression has increased exponentially over the past five and a half decades as new analytical methods emerged. This review combines early and recent discoveries on gene regulation and expression in mature oocytes and preimplantation stage embryos to provide a comprehensive understanding of preimplantation embryo biology and to anticipate exciting future advances that will build upon and extend what has been discovered so far.
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Affiliation(s)
- Keith E Latham
- Department of Animal Science, Michigan State University, East Lansing, Michigan, USA.,Department of Obstetrics, Gynecology, and Reproductive Biology, Michigan State University, East Lansing, Michigan, USA.,Reproductive and Developmental Sciences Program, Michigan State University, East Lansing, Michigan, USA
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Eggermann T, Yapici E, Bliek J, Pereda A, Begemann M, Russo S, Tannorella P, Calzari L, de Nanclares GP, Lombardi P, Temple IK, Mackay D, Riccio A, Kagami M, Ogata T, Lapunzina P, Monk D, Maher ER, Tümer Z. Trans-acting genetic variants causing multilocus imprinting disturbance (MLID): common mechanisms and consequences. Clin Epigenetics 2022; 14:41. [PMID: 35296332 PMCID: PMC8928698 DOI: 10.1186/s13148-022-01259-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 02/28/2022] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Imprinting disorders are a group of congenital diseases which are characterized by molecular alterations affecting differentially methylated regions (DMRs). To date, at least twelve imprinting disorders have been defined with overlapping but variable clinical features including growth and metabolic disturbances, cognitive dysfunction, abdominal wall defects and asymmetry. In general, a single specific DMR is affected in an individual with a given imprinting disorder, but there are a growing number of reports on individuals with so-called multilocus imprinting disturbances (MLID), where aberrant imprinting marks (most commonly loss of methylation) occur at multiple DMRs. However, as the literature is fragmented, we reviewed the molecular and clinical data of 55 previously reported or newly identified MLID families with putative pathogenic variants in maternal effect genes (NLRP2, NLRP5, NLRP7, KHDC3L, OOEP, PADI6) and in other candidate genes (ZFP57, ARID4A, ZAR1, UHRF1, ZNF445). RESULTS In 55 families, a total of 68 different candidate pathogenic variants were identified (7 in NLRP2, 16 in NLRP5, 7 in NLRP7, 17 in PADI6, 15 in ZFP57, and a single variant in each of the genes ARID4A, ZAR1, OOEP, UHRF1, KHDC3L and ZNF445). Clinical diagnoses of affected offspring included Beckwith-Wiedemann syndrome spectrum, Silver-Russell syndrome spectrum, transient neonatal diabetes mellitus, or they were suspected for an imprinting disorder (undiagnosed). Some families had recurrent pregnancy loss. CONCLUSIONS Genomic maternal effect and foetal variants causing MLID allow insights into the mechanisms behind the imprinting cycle of life, and the spatial and temporal function of the different factors involved in oocyte maturation and early development. Further basic research together with identification of new MLID families will enable a better understanding of the link between the different reproductive issues such as recurrent miscarriages and preeclampsia in maternal effect variant carriers/families and aneuploidy and the MLID observed in the offsprings. The current knowledge can already be employed in reproductive and genetic counselling in specific situations.
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Affiliation(s)
- Thomas Eggermann
- Institute of Human Genetics, Medical Faculty, RWTH Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany.
| | - Elzem Yapici
- grid.1957.a0000 0001 0728 696XInstitute of Human Genetics, Medical Faculty, RWTH Aachen University, Pauwelsstr. 30, 52074 Aachen, Germany
| | - Jet Bliek
- grid.509540.d0000 0004 6880 3010Department of Human Genetics, Laboratory for Genome Diagnostics, Amsterdam UMC, Amsterdam, Netherlands
| | - Arrate Pereda
- grid.468902.10000 0004 1773 0974Molecular (Epi)Genetics Laboratory, Bioaraba Health Research Institute, Hospital Universitario Araba-Txagorritxu, Vitoria-Gasteiz, Alava Spain
| | - Matthias Begemann
- grid.1957.a0000 0001 0728 696XInstitute of Human Genetics, Medical Faculty, RWTH Aachen University, Pauwelsstr. 30, 52074 Aachen, Germany
| | - Silvia Russo
- grid.418224.90000 0004 1757 9530Research Laboratory of Medical Cytogenetics and Molecular Genetics, Istituto Auxologico Italiano, IRCCS, Milan, Italy
| | - Pierpaola Tannorella
- grid.418224.90000 0004 1757 9530Research Laboratory of Medical Cytogenetics and Molecular Genetics, Istituto Auxologico Italiano, IRCCS, Milan, Italy
| | - Luciano Calzari
- grid.418224.90000 0004 1757 9530Research Laboratory of Medical Cytogenetics and Molecular Genetics, Istituto Auxologico Italiano, IRCCS, Milan, Italy
| | - Guiomar Perez de Nanclares
- grid.468902.10000 0004 1773 0974Molecular (Epi)Genetics Laboratory, Bioaraba Health Research Institute, Hospital Universitario Araba-Txagorritxu, Vitoria-Gasteiz, Alava Spain
| | - Paola Lombardi
- grid.509540.d0000 0004 6880 3010Department of Human Genetics, Laboratory for Genome Diagnostics, Amsterdam UMC, Amsterdam, Netherlands
| | - I. Karen Temple
- grid.123047.30000000103590315Wessex Clinical Genetics Service, University Hospital Southampton, Southampton, UK ,grid.430506.40000 0004 0465 4079Wessex Clinical Genetics Service, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Deborah Mackay
- grid.430506.40000 0004 0465 4079Wessex Clinical Genetics Service, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Andrea Riccio
- grid.9841.40000 0001 2200 8888Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania ‘Luigi Vanvitelli’, Caserta, Italy ,grid.419869.b0000 0004 1758 2860Institute of Genetics and Biophysics ‘Adriano Buzzati–Traverso’ CNR, Naples, Italy
| | - Masayo Kagami
- grid.63906.3a0000 0004 0377 2305Department of Molecular Endocrinology, National Research Institute for Child Health and Development, Ohkura, Setagayaku, Tokyo, Japan
| | - Tsutomu Ogata
- grid.413553.50000 0004 1772 534XDepartment of Pediatrics, Hamamatsu Medical Center, Hamamatsu, Japan ,grid.505613.40000 0000 8937 6696Department of Biochemistry, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Pablo Lapunzina
- grid.81821.320000 0000 8970 9163CIBERER-ISCIII and INGEMM, Institute of Medical and Molecular Genetics, Hospital Universitario La Paz, Madrid, Spain ,ERN-Ithaca, European Reference Networks, Madrid, Spain
| | - David Monk
- grid.8273.e0000 0001 1092 7967School of Biological Sciences, University of East Anglia, Norwich, UK
| | - Eamonn R. Maher
- grid.24029.3d0000 0004 0383 8386Department of Medical Genetics, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust, Cambridge, CB2 0QQ UK ,grid.24029.3d0000 0004 0383 8386Cambridge University Hospitals NHS Foundation Trust, Cambridge, CB2 0QQ UK
| | - Zeynep Tümer
- grid.475435.4Department of Clinical Genetics, Kennedy Center, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark ,grid.5254.60000 0001 0674 042XDepartment of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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