том 61 издание 5

Relationship Between Genetic Polymorphisms in Cell Cycle Regulatory Gene TP53 and Polycystic Ovarian Syndrome: A Case–Control Study and In Silico Analyses

Ghazaleh Biglari-Zadeh 1
Saman Sargazi 2
Malihe Mohammadi 1
Marzieh Ghasemi 3, 4
Mahdi Majidpour 2, 5
Ramin Saravani 2, 5
Shekoufeh Mirinejad 2
Тип публикацииJournal Article
Дата публикации2023-03-01
scimago Q2
wos Q3
БС3
SJR0.515
CiteScore3.5
Impact factor1.6
ISSN00062928, 15734927
Biochemistry
Molecular Biology
General Medicine
Genetics
Ecology, Evolution, Behavior and Systematics
Краткое описание
Polycystic ovarian syndrome (PCOS) is a complex endocrine and metabolic condition with several potential causes. Insulin resistance is a hallmark of PCOS that often coexists with hirsutism, hyperandrogenism, being overweight, and hormonal imbalances. The functioning of multiple replication and transcription factors is regulated by tumor suppressor genes (TSGs), which play a crucial role in maintaining genomic integrity and controlling the cell cycle of granulosa cells. In the present study, we examined how three single nucleotide polymorphisms (SNPs) in TP53, a cell cycle regulatory gene, affect the risk of developing PCOS in a sample of an Iranian population. Genomic DNA was extracted from 200 PCOS patients and 200 healthy women to analyze TP53 rs17880604, rs1625895, and rs1042522 SNPs using the polymerase chain reaction-restriction fragment length polymorphism (PCR–RFLP) method. Our findings revealed that the majority of PCOS cases were overweight [25 < body mass index (BMI) < 30]. A positive association was observed between the TP53 rs1042522 SNP and the risk of PCOS under codominant heterozygous and overdominant genetic patterns (odds ratio > 1). Meanwhile, a negative association was observed between TP53 SNPs (rs1625895, rs17880604) and susceptibility to PCOS under codominant heterozygous and dominant models of inheritance (odds ratio < 1). Moreover, different genotype and haplotype combinations of rs17880604/rs1625895/rs1042522 conferred a decreased risk of PCOS in our population. We found no statistical difference in the frequency of TP53 genotypes between PCOS cases and/or controls in terms of BMI, waist circumference, prolactin level, and markers of lipid and carbohydrate profile (P > 0.05). Molecular dynamic prediction showed that the missense substitution in the 17p13.1 position (rs1042522) could change the properties and secondary structure of the p53 protein. As inherited risk factors, TP53 variations may play a  pivotal role in the pathogenesis of PCOS among Iranian women. Replicated population-based studies on other ethnicities are required to find the genetic contribution of variants of TP53, or SNPs located in other TSGs, to the etiology of this endocrine disease.
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Indian Journal of Clinical Biochemistry
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Biglari-Zadeh G. et al. Relationship Between Genetic Polymorphisms in Cell Cycle Regulatory Gene TP53 and Polycystic Ovarian Syndrome: A Case–Control Study and In Silico Analyses // Biochemical Genetics. 2023. Vol. 61. No. 5.
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Biglari-Zadeh G., Sargazi S., Mohammadi M., Ghasemi M., Majidpour M., Saravani R., Mirinejad S. Relationship Between Genetic Polymorphisms in Cell Cycle Regulatory Gene TP53 and Polycystic Ovarian Syndrome: A Case–Control Study and In Silico Analyses // Biochemical Genetics. 2023. Vol. 61. No. 5.
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TY - JOUR
DO - 10.1007/s10528-023-10349-1
UR - https://doi.org/10.1007/s10528-023-10349-1
TI - Relationship Between Genetic Polymorphisms in Cell Cycle Regulatory Gene TP53 and Polycystic Ovarian Syndrome: A Case–Control Study and In Silico Analyses
T2 - Biochemical Genetics
AU - Biglari-Zadeh, Ghazaleh
AU - Sargazi, Saman
AU - Mohammadi, Malihe
AU - Ghasemi, Marzieh
AU - Majidpour, Mahdi
AU - Saravani, Ramin
AU - Mirinejad, Shekoufeh
PY - 2023
DA - 2023/03/01
PB - Springer Nature
IS - 5
VL - 61
PMID - 36856940
SN - 0006-2928
SN - 1573-4927
ER -
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@article{2023_Biglari-Zadeh,
author = {Ghazaleh Biglari-Zadeh and Saman Sargazi and Malihe Mohammadi and Marzieh Ghasemi and Mahdi Majidpour and Ramin Saravani and Shekoufeh Mirinejad},
title = {Relationship Between Genetic Polymorphisms in Cell Cycle Regulatory Gene TP53 and Polycystic Ovarian Syndrome: A Case–Control Study and In Silico Analyses},
journal = {Biochemical Genetics},
year = {2023},
volume = {61},
publisher = {Springer Nature},
month = {mar},
url = {https://doi.org/10.1007/s10528-023-10349-1},
number = {5},
doi = {10.1007/s10528-023-10349-1}
}