Identification of key ubiquitination‐related genes in gestational diabetes mellitus: A bioinformatics‐driven study

In conclusion, this study contributes to our understanding of the molecular landscape of GDM by uncovering key ubiquitination-related genes. These findings may serve as a foundation for further investigations, offering potential biomarkers and therapeutic targets for clinical applications in GDM management.

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Publication Details

Journal
Health Science Reports
Published
2024-10-01
DOI
https://doi.org/10.1002/hsr2.70115
Citations
4
Primary Topic
Gestational Diabetes Research and Management
Type
article
Field-Weighted Citation Impact
2.33

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article

Identification of key ubiquitination‐related genes in gestational diabetes mellitus: A bioinformatics‐driven study

Wensheng Hu, Yuheng Dai, Sha Lu
4 citations
Health Science Reports
Gestational Diabetes Research and Management
2.33
article

Identification of key ubiquitination‐related genes in gestational diabetes mellitus: A bioinformatics‐driven study

Wensheng Hu, Yuheng Dai, Sha Lu
article en
4 citations

Abstract

In conclusion, this study contributes to our understanding of the molecular landscape of GDM by uncovering key ubiquitination-related genes. These findings may serve as a foundation for further investigations, offering potential biomarkers and therapeutic targets for clinical applications in GDM management.

Health Science ReportsVol. 7(10)
Affiliated Hospital of Hangzhou Normal University (CN), Hangzhou Women’s Hospital (CN), Women's Hospital, School of Medicine, Zhejiang University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 11%
Gestational Diabetes Research and Management
2.33
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