Department of Biological Sciences, National Sun Yat-Sen University, Kaohsiung, 804, Taiwan.
Department of Obstetrics and Gynaecology, Kaohsiung Veterans General Hospital, Kaohsiung, 813, Taiwan.
Reprod Sci. 2023 Dec;30(12):3529-3536. doi: 10.1007/s43032-023-01310-z. Epub 2023 Jul 27.
Ferroptosis, a recently discovered form of cell death, has been implicated in various diseases. However, the genetic relationship between ferroptosis and ovarian aging has not been thoroughly investigated through informatics analysis. In this study, we conducted bioinformatics analysis using ovarian aging and ferroptosis datasets to identify potential ferroptosis-related genes using R software. The expression levels of these genes at different ages were analyzed using the GTEx public database. To validate these findings at the genetic level, we performed clinical infertility biopsies. Bioinformatics analysis of a mouse ovary dataset revealed significantly higher expression of Tfrc, Ncoa4, and Slc3a2 in the aging group compared to the young group, while Gpx4 showed the opposite pattern. Consistent results were observed in biopsies from clinically aged infertile patients. This study is the first to identify a ferroptosis-related gene associated with ovarian aging, highlighting its potential as a diagnostic biomarker.
铁死亡是一种新近发现的细胞死亡形式，与多种疾病相关。然而，通过信息学分析，铁死亡与卵巢衰老之间的遗传关系尚未得到充分研究。本研究采用卵巢衰老和铁死亡数据集，利用 R 软件进行生物信息学分析，鉴定潜在的铁死亡相关基因。使用 GTEx 公共数据库分析这些基因在不同年龄的表达水平。为了在遗传水平上验证这些发现，我们进行了临床不孕活检。对小鼠卵巢数据集的生物信息学分析显示，衰老组中 Tfrc、Ncoa4 和 Slc3a2 的表达显著高于年轻组，而 Gpx4 则呈现相反的模式。在临床年龄较大的不孕患者的活检中也观察到了一致的结果。这项研究首次鉴定出与卵巢衰老相关的铁死亡相关基因，提示其作为诊断生物标志物的潜力。
