Literature DB >> 32430708

Genetic Variants Contributing to Early Recurrent Pregnancy Loss Etiology Identified by Sequencing Approaches.

Paula Quintero-Ronderos1, Paul Laissue2.   

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.

Entities:  

Keywords:  miscarriage; molecular implantation; next generation sequencing; recurrent pregnancy loss

Mesh:

Year:  2020        PMID: 32430708     DOI: 10.1007/s43032-020-00187-6

Source DB:  PubMed          Journal:  Reprod Sci        ISSN: 1933-7191            Impact factor:   3.060


  7 in total

Review 1.  Stem Cell-Based Trophoblast Models to Unravel the Genetic Causes of Human Miscarriages.

Authors:  Tatiana V Nikitina; Igor N Lebedev
Journal:  Cells       Date:  2022-06-14       Impact factor: 7.666

2.  Key Gene and Functional Pathways Identified in Unexplained Recurrent Spontaneous Abortion Using Targeted RNA Sequencing and Clinical Analysis.

Authors:  Heng Gu; Longyu Li; Mengxuan Du; Hang Xu; Mengge Gao; Xiaohua Liu; Xiangcai Wei; Xingming Zhong
Journal:  Front Immunol       Date:  2021-08-05       Impact factor: 7.561

3.  Immunogenetic aspects of idiopathic recurrent miscarriage in the Kazakh population.

Authors:  Gulnara Svyatova; Dinara Mirzakhmetova; Galina Berezina; Alexandra Murtazaliyeva
Journal:  J Med Life       Date:  2021 Sep-Oct

4.  Factors associated with fetal karyotype in spontaneous abortion: a case-case study.

Authors:  Qinghua Xu; Ying Chan; Yun Feng; Baosheng Zhu; Bicheng Yang; Shu Zhu; Lingyun Su; Li Zou; Na Feng; Yan Li
Journal:  BMC Pregnancy Childbirth       Date:  2022-04-14       Impact factor: 3.105

5.  Research on the Mechanism of Asperosaponin VI for Treating Recurrent Spontaneous Abortion by Bioinformatics Analysis and Experimental Validation.

Authors:  Bo Xia; Peng Zhang; Yuling Lai; Shichao Cui; Zhenyue Chen; Qingying Yu; Haiwang Wu; Lihua Zeng; Baozhen Xie; Jingwei Li; Huimin Zhang; Songping Luo; Jie Gao
Journal:  Evid Based Complement Alternat Med       Date:  2022-06-23       Impact factor: 2.650

6.  TMT-Based Proteomic Analysis of Human Spermatozoa from Unexplained Recurrent Miscarriage Patients before and after Oral Antioxidant Treatment.

Authors:  Alba Fernandez-Encinas; Jordi Ribas-Maynou; Agustín García-Peiró; Sergio Garcia-Segura; Olga Martinez-Pasarell; Joaquima Navarro; Maria Oliver-Bonet; Jordi Benet
Journal:  Biomedicines       Date:  2022-08-19

7.  S100P promotes trophoblast syncytialization during early placenta development by regulating YAP1.

Authors:  Hanjing Zhou; Yibin Pan; Weijie Yang; Chenqiong Zhao; Xiaohe Sun; Binbin Hong; Xiaoying Jin; Tai Zhang; Yinli Zhang; Na Liu; Songying Zhang; Haiyan Zhu
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-14       Impact factor: 6.055

  7 in total

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