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Abstract：
Efficient evaluation of the primordial follicle pool (PFP) of mammalian models is an essential subject in biomedical research relating to ovarian physiology and pathogenesis. Our recent study has identified a gene signature including Sohlh1, Nobox, Lhx8, Tbpl2, Stk31, Padi6, and Vrtn strongly correlated with ovarian reserve by using bioinformatics analysis. Aimed to investigate the validity of these candidate biomarkers for evaluating the PFP, we utilized an OR comparison model to decode the relationship between the numbers of PFP and candidate biomarkers in the present study. Our results suggest that these biomarkers Sohlh1, Nobox, Lhx8, Tbpl2, Stk31, Padi6, and Vrtn possess independent potential to evaluate the number of the PFP. And the combination of Sohlh1 and Lhx8 can be used as the optimal biomarkers for rapid assessment of the PFP in the murine ovary. Our findings provide a new perspective for evaluating the PFP of the ovary in animal studies and the clinic.
摘要：
哺乳动物模型的原始卵泡池（PFP）的有效评估是与卵巢生理学和发病机理相关的生物医学研究中的重要主题。我们最近的研究已经确定了一个基因签名，包括Sohlh1，Nobox，通过生物信息学分析，Lhx8，Tbpl2，Stk31，Padi6和Vrtn与卵巢储备密切相关。旨在研究这些候选生物标志物用于评估PFP的有效性，在本研究中,我们利用OR比较模型来解码PFP数量与候选生物标志物之间的关系.我们的结果表明，这些生物标志物Sohlh1，Nobox，Lhx8，Tbpl2，Stk31，Padi6和Vrtn具有评估PFP数量的独立潜力。Sohlh1和Lhx8的组合可作为小鼠卵巢中PFP快速评估的最佳生物标志物。我们的发现为在动物研究和临床中评估卵巢的PFP提供了新的视角。
