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Discovery of immune-related diagnostic biomarkers and construction of diagnostic model in varies polycystic ovary syndrome

  • General Gynecology
  • Published:
Archives of Gynecology and Obstetrics Aims and scope Submit manuscript

Abstract

Aims

The various diagnostic criteria for polycystic ovary syndrome (PCOS) raised problem for PCOS research worldwide. PCOS has been demonstrated to be significantly associated with immune response. We aimed to identify several immune-related biomarkers and construct a nomogram model for diagnosis in PCOS.

Methods

The mRNA expression data were downloaded from Gene Expression Omnibus (GEO) database. Significant immune-related genes were identified to be the biomarkers for the diagnosis of PCOS using random forest model (RF), support vector machine model (SVM) and generalized linear model (GLM). The key biomarkers were selected from the optimal model and were utilized to construct a diagnostic nomogram. Receiver operating characteristic (ROC) curves was used to evaluate diagnostic ability of nomogram. Moreover, the relative proportion of 22 immune cell types was calculated by CIBERSORT algorithm.

Results

Four immune-related biomarkers (cAMP, S100A9, TLR8 and IL6R) were demonstrated to be highly expressed in PCOS. The nomogram constructed on the ground of the four key biomarkers showed perfect performance in diagnosis of PCOS, whose AUC were greater than 0.7. Higher infiltrating abundance of neutrophils, resting NK cells and activated dendritic cells were observed in PCOS and were tightly associated with the four key biomarkers.

Conclusions

This study identified several immune-related diagnostic biomarkers for PCOS patients. The diagnostic nomogram constructed based the biomarkers provide a theory foundation for clinical application. Multiple immune cells were associated with the expression of these four biomarkers and might played a vital role in the procession of PCOS.

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Data availability

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Funding

This work was supported by National Natural Science Foundation of China (Program No. 82172714), Natural Science Foundation of Shanghai (Program No. 20ZR1443900).

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Author notes

  1. Junjie Qu and Bilan Li are contributed equally to this work

Authors and Affiliations

  1. Department of Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, No. 536 Changle Road, Jing’an District, Shanghai, 200040, China

    Junjie Qu, Meiting Qiu, Jingyun Wang, Zhiqin Chen, Kunming Li & Xiaoming Teng

  2. Department of Gynecology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, 200040, China

    Bilan Li

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  1. Junjie Qu
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Contributions

JQ carried out the Conception and design of the research, XT and MQ participated in the Acquisition of data. XT and JW carried out the Analysis and interpretation of data. ZC and KL participated in the design of the study and performed the statistical analysis. JQ and BL conceived of the study, and participated in its design and coordination and helped to draft the manuscript and revision of manuscript for important intellectual content. All authors read and approved the final manuscript.

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Correspondence to Xiaoming Teng.

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Qu, J., Li, B., Qiu, M. et al. Discovery of immune-related diagnostic biomarkers and construction of diagnostic model in varies polycystic ovary syndrome. Arch Gynecol Obstet 306, 1607–1615 (2022). https://doi.org/10.1007/s00404-022-06686-y

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