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Sohlh1 and Lhx8 are prominent biomarkers to estimate the primordial follicle pool in mice.

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.

SUBMITTER: Liu L 

PROVIDER: S-EPMC10186293 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature

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Sohlh1 and Lhx8 are prominent biomarkers to estimate the primordial follicle pool in mice.

Liu Li L   Liu Biting B   Wang Lian L   Li Caixia C   Zhou Yang Y   Zhu Jihui J   Ding Jinye J   Liu Shupeng S   Cheng Zhongping Z  

Reproductive biology and endocrinology : RB&E 20230516 1

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 rel  ...[more]

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