Bioinformatics-based Identification of Ferroptosis-related Genes and their Diagnostic Value in Gestational Diabetes Mellitus.

Background: Gestational diabetes mellitus (GDM) is considered a risk factor for heart metabolic disorder in future mothers and offspring. Ferroptosis is a new type of programmed cell death, which may participate in the occurrence and development of GDM.

Objective: This study aims to identify ferroptosis-related genes in GDM by bioinformatics methods and to explore their clinical diagnostic value.

Investigating the Potential Mechanisms of Ferroptosis and Autophagy in the Pathogenesis of Gestational Diabetes.

Ferroptosis and autophagy are two different cellular processes that have recently been highlighted for their potential roles in the pathogenesis and progression of gestational diabetes (GD). This research sought to uncover the crucial genes tied to ferroptosis and autophagy in GD, further investigating their mechanisms. Differentially expressed genes (DEGs) linked to ferroptosis and autophagy in GD were identified using publicly available data.

Integrating genome-wide association and eQTLs studies identifies the genes associated with age at menarche and age at natural menopause.

Objective: An early onset of menarche and, later, menopause are well-established risk factors for the development of breast cancer and endometrial cancer. Although the largest GWASs have identified 389 independent signals for age at menarche (AAM) and 44 regions for age at menopause (ANM), GWAS can only identify the associations between variants and traits. The aim of this study was to identify genes whose expression levels were associated with AAM or ANM due to pleiotropy or causality by integrating GWAS data with genome-wide expression quantitative trait loci (eQTLs) data.

CYP17A1 T-34C polymorphism is not associated with endometrial cancer risk.

The association between CYP17A1 T-34C polymorphism and endometrial cancer risk has been inconsistent and underpowered. To clarify the effect of CYP17A1 T-34C polymorphism on the risk of endometrial cancer, a meta-analysis of all available studies relating CYP17A1 T-34C polymorphism to the risk of endometrial cancer was conducted. The authors searched PubMed, EMBASE, Scopus, and VisionCite databases updated on March 2013.