Human Disease Phenotypes Associated with Mutations in ZP۱

سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 92

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شناسه ملی سند علمی:

WMCONF13_043

تاریخ نمایه سازی: 10 دی 1403

چکیده مقاله:

Introduction: The zona pellucida (ZP) is a highly organized glycoprotein matrix that surroundsmammalian oocytes and embryos, playing a crucial role in reproduction. It is essential for oocytegrowth, follicle development, sperm-oocyte interactions during fertilization, and the protection ofearly embryos prior to implantation. The human zona pellucida ZP consists of four glycoproteins(ZP۱ to ZP۴) secreted during oocyte growth. ZP۲, ZP۳, and ZP۴ are organized into filaments, withZP۱ homodimers linking these filaments through a common ZP-N structural unit. The aim of thisstudy was to investigate the relationship between ZP۱ mutations and associated human infertilityphenotypes.Methods: This review utilized keywords such as ZP۱, mutation, and human diseases to search thePubMed, Google Scholar, and Elsevier Science databases for relevant literature.Results: The literature indicates that mutations in the ZP۱ gene, which typically occur ashomozygous or compound heterozygous variants, have been linked to abnormal oocytephenotypes, including zona pellucida deficiency, empty follicle syndrome (EFS), and oocytematuration defect (OMD). For instance, a homozygous c.۱۲۲۸C>T (p.Arg۴۱۰Trp) mutation hasbeen reported, which leads to oocyte degeneration due to the absence of a surrounding zonapellucida, underscoring the critical role of ZP۱ in oocyte development. These mutations disruptthe structural and functional integrity of the zona pellucida, leading to female infertility andhighlighting the pivotal role of ZP۱ in oocyte development and reproductive success. To date, approximately ۳۵ variants of ZP۱ have been identified, including ۱۹ nonsense and missensemutations, six splicing variants, nine small deletions, and one small insertion-deletion variant.Conclusion: This review summarizes human diseases associated with ZP۱ mutations and theirclinical implications. Developing predictive models that integrate ZP۱ mutation profiles withclinical characteristics could improve the assessment of pregnancy potential and guidepersonalized treatment strategies, offering valuable insights for reproductive medicine

نویسندگان

P Kouhi

Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for ReproductiveBiomedicine, ACECR, Tehran, Iran.

SZ Mousavi

Department of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran,Iran.

Z Rokhsattalab

Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for ReproductiveBiomedicine, ACECR, Tehran, Iran

M Totonchi

Medical Genetics and Molecular Biology Research Hub, Royan TuCAGene Ltd., Tehran, Iran.