Multi-locus high-risk alleles association from interleukin's genes with female infertility and certain comorbidities.

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES BMC Research Notes Pub Date : 2024-11-23 DOI:10.1186/s13104-024-06988-1
Khalil Khashei Varnamkhasti, Samire Khashei Varnamkhasti, Najmeh Bahraini, Mohaddeseh Davoodi, Mahsa Sadeghian, Massomeh Khavanin, Raana Naeimi, Sirous Naeimi
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Abstract

Objective There is evidence that cytokine genes' single nucleotide polymorphisms could be the reasons behind female infertility. This study aimed to identify the role for Interleukin33 rs1048274 (G > A) and rs16924243 (T > C), Interleukin22 rs1397852121 (C > T), rs1295978671 (C > T) and rs2227483 (A > T), Interleukin17A rs2275913 (G > A,C) and Interleukin17F rs763780 (T > C), Interleukin13 1512 (A > C) and IL13 2044 (G > A), and Interleukin4 rs2243250 (C > T) and rs2070874 (C > T) gene polymorphisms in female infertility to gain a richly more detailed understanding of its genetic predisposition. Five distinct groups, each comprising 200 infertile women and 200 age-matched fertile controls, were recruited to each Interleukins (33, 22, 17, 13 and 4) in this case-control study and were genotyped by using an amplification refractory mutation system. Statistical analysis is conducted by SPSS software V. 22 and using Chi-square (χ2) and logistic regression tests. Strength of association was estimated by multiple-comparison correction, population structure test and Haplotype analysis. The study was approved by the Academic Ethics Committee and each enrolled patient signed an informed consent.Results Our statistical results revealed risk alleles in all of the substitution lines for women infertility. Current findings provided evidence that in the presence of Interleukin33 Ap-value rs1048274 = 0.002 and Cp-value rs16924243 < 0.0001, Interleukin 22Tp-value rs1397852121 < 0.0001 and Tp-value rs2227483 = 0.000, Interleukin17A Ap-value rs2275913 = 0.003 and Interleukin17F Cp-value rs763780 = 0.000 and Interleukin13 Cp-value 1512 = 0.000 and Ap-value 2044 = 0.003, Interleukin4 Tp-value rs2243250 = 0.001 and Tp-value rs2070874 = 0.009 risk alleles, risk genotype also were significantly associated with increased chances of developing infertility. The relationship between risk genotypes and several well-established infertility risk factors including, polycystic ovary syndrome, premature ovarian failure, oophorectomy, diminished ovarian reserve, endometriosis, uterine fibroids, ovarian cysts, uterine polyps, fallopian tube blockage and thyroid dysfunction, also exhibited. This study suggests the significant role of interleukin gene polymorphisms in human reproductive success.

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白细胞介素基因中的多焦点高风险等位基因与女性不孕症和某些合并症的关系。
目的 有证据表明,细胞因子基因的单核苷酸多态性可能是导致女性不孕的原因。本研究旨在确定白细胞介素 33 rs1048274 (G > A) 和 rs16924243 (T > C)、白细胞介素 22 rs1397852121 (C > T)、rs1295978671 (C > T) 和 rs2227483 (A > T)、白细胞介素 17A rs2275913 (G > A,C) 和白细胞介素 17F rs763780 (T > C)的作用、白细胞介素 13 1512 (A > C) 和 IL13 2044 (G > A) 以及白细胞介素 4 rs2243250 (C > T) 和 rs2070874 (C > T) 基因多态性与女性不孕症的关系,从而更详细地了解女性不孕症的遗传倾向。在这项病例对照研究中,共招募了五个不同的组别,每个组别包括 200 名不孕妇女和 200 名年龄匹配的可育对照组,每个组别的白细胞介素(33、22、17、13 和 4)均采用扩增难治性突变系统进行基因分型。统计分析采用 SPSS 软件 V.22 进行,并使用卡方检验(χ2)和逻辑回归检验。关联强度通过多重比较校正、群体结构检验和单倍型分析进行估计。该研究获得了学术伦理委员会的批准,每位入选患者都签署了知情同意书。目前的研究结果证明,在白细胞介素 33 Ap-value rs1048274 = 0.002 和 Cp-value rs16924243 0.0001、白细胞介素 22Tp-value rs1397852121 和 Tp-value rs2227483 = 0.000、白细胞介素 17A Ap-value rs2275913 = 0.003 和白细胞介素 17F Cp-value rs763780 = 0.000和白细胞介素13 Cp值1512 = 0.000和Ap值2044 = 0.003,白细胞介素4 Tp值rs2243250 = 0.001和Tp值rs2070874 = 0.009风险等位基因,风险基因型也与不孕症发病几率增加显著相关。风险基因型与多囊卵巢综合征、卵巢早衰、输卵管切除术、卵巢储备功能减退、子宫内膜异位症、子宫肌瘤、卵巢囊肿、子宫息肉、输卵管堵塞和甲状腺功能障碍等几种已确定的不孕症风险因素之间也存在关系。这项研究表明,白细胞介素基因多态性在人类生殖成功中起着重要作用。
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BMC Research Notes
BMC Research Notes Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.60
自引率
0.00%
发文量
363
审稿时长
15 weeks
期刊介绍: BMC Research Notes publishes scientifically valid research outputs that cannot be considered as full research or methodology articles. We support the research community across all scientific and clinical disciplines by providing an open access forum for sharing data and useful information; this includes, but is not limited to, updates to previous work, additions to established methods, short publications, null results, research proposals and data management plans.
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