Transcriptomic profile of premature ovarian insufficiency with RNA-sequencing

Jiaman Wu; Shiyu Feng; Yan Luo; Yan Ning; Pingping Qiu; Yanting Lin; Fei Ma; Yuanyuan Zhuo

doi:10.3389/fcell.2024.1370772

Transcriptomic profile of premature ovarian insufficiency with RNA-sequencing

Front Cell Dev Biol. 2024 Apr 9:12:1370772. doi: 10.3389/fcell.2024.1370772. eCollection 2024.

Authors

Jiaman Wu^{1

2}, Shiyu Feng², Yan Luo², Yan Ning^{1

2}, Pingping Qiu¹, Yanting Lin¹, Fei Ma^{1

2}, Yuanyuan Zhuo³

Affiliations

¹ Department of Chinese Medicine, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, China.
² Guangzhou University of Chinese Medicine, Guangzhou, China.
³ Department of Acupuncture and Moxibustion, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.

Abstract

Introduction: This study aimed to explore the transcriptomic profile of premature ovarian insufficiency (POI) by investigating alterations in gene expression.

Methods: A total of sixty-one women, comprising 31 individuals with POI in the POI group and 30 healthy women in the control group (HC group), aged between 24 and 40 years, were recruited for this study. The transcriptomic profiles of peripheral blood samples from all study subjects were analyzed using RNA-sequencing.

Results: The results revealed 39 differentially expressed genes in individuals with POI compared to healthy controls, with 10 upregulated and 29 downregulated genes. Correlation analysis highlighted the relationship between the expression of SLC25A39, CNIH3, and PDZK1IP1 and hormone levels. Additionally, an effective classification model was developed using SLC25A39, CNIH3, PDZK1IP1, SHISA4, and LOC389834. Functional enrichment analysis demonstrated the involvement of these differentially expressed genes in the "haptoglobin-hemoglobin complex," while KEGG pathway analysis indicated their participation in the "Proteoglycans in cancer" pathway.

Conclusion: The identified genes could play a crucial role in characterizing the genetic foundation of POI, potentially serving as valuable biomarkers for enhancing disease classification accuracy.

Keywords: RNA-sequencing; biomarker classification; genes; premature ovarian insufficiency; transcriptomic.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Shenzhen Science, Technology and Innovation Committee (Natural Science Foundation) (No. JCYJ20210324130001004). This work was supported by Sanming Project of Medicine in Shenzhen (SZZYSM202311002) and Sanming Project of Medicine in Shenzhen (SZZYSM202311010).