Startseite Bioinformatics analysis explores key pathways and hub genes in central precocious puberty
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Bioinformatics analysis explores key pathways and hub genes in central precocious puberty

  • Na Guo , Hongyun Li , Jinhong He , Linlin Yang EMAIL logo und Huijuan Ma EMAIL logo
Veröffentlicht/Copyright: 21. März 2025

Abstract

Objectives

Central precocious puberty (CPP) is one of the common endocrine diseases in pediatrics. However, the molecular mechanisms regulating development of CPP have remained unclear. The purpose of this study was to discover the key pathways and hub genes related to CPP.

Methods

We analyzed two public datasets (GSE7142 and GSE8310) to identify differentially expressed genes in the progression of CPP. Then, we screened out overlapping differential genes from these two datasets and performed a series of bioinformatics analyses to explore promising targets and molecule mechanism of CPP.

Results

We identified 30 down-regulated overlapping DEGs between GSE7142 (CPP/no CPP) and GSE8130 (EP/JUV) datasets and 17 down-regulated overlapping DEGs between GSE7142 (CPP/no CPP) and GSE8130 (LP/JUV) datasets. KEGG signaling pathway shows that calcium signaling pathway is suppressed continuously in early and late pubertal of CPP patients. MAPK signaling pathway also plays an important role in the occurrence and development of CPP. Eventually, we screened out 2 hub genes (FGFR2 and FLT1) highly related to CPP, which may provide a new directions for the diagnosis and treatment of CPP.

Conclusions

While further validation is needed, we provide useful and novel information to explore potential signaling pathways and candidate genes for CPP diagnosis and treatment options.


Corresponding authors: Linlin Yang, Data Center, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050031, China, E-mail: ; and Huijuan Ma, Department of Internal Medicine, Hebei Medical University, Shijiazhuang, Hebei, 050017, China; and Department of Endocrinology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050031, China, E-mail:

Funding source: National Natural Science Foundation of Hebei

Award Identifier / Grant number: H2022307076

Funding source: Hebei Province 2023 medical scientific research project

Award Identifier / Grant number: 20230016

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: This research was supported by grants from the National Natural Science Foundation of Hebei, China (H2022307076) and Hebei Province 2023 medical scientific research project (20230016).

  7. Data availability: Not applicable.

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Received: 2024-12-23
Accepted: 2025-02-22
Published Online: 2025-03-21
Published in Print: 2025-06-26

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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