GPD1L‐Mediated Glycerophospholipid Metabolism Dysfunction in Women With Diminished Ovarian Reserve: Insights From Pseudotargeted Metabolomic Analysis of Follicular Fluid

Cell Proliferation, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

ABSTRACT Diminished ovarian reserve (DOR) is a pathological condition characterised by reduced function, which refers to the decreased quality and quantity of oocytes, potentially causing female infertility various health issues. Follicular fluid (FF) serves as microenvironment for follicular development oocyte maturation, gaining an in‐depth understanding metabolic state FF will help us uncover key biological processes involved in aging, while specific underlying pathogenic mechanisms are not fully understood. In this study, we utilised pseudotargeted metabolomic analysis reveal glycerophospholipid metabolism dysfunction mediated GPD1L DOR patients. We also found that was downregulated granulosa cells (GCs) patients, resulting increased cell apoptosis mitochondrial dysfunction. Moreover, our results demonstrated expression could induce atresia impair mouse ovaries. Altogether, research suggested GCs metabolites pathway act novel biomarkers diagnosis, paving way new theoretical basis pathogenesis DOR.

Language: Английский

Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: April 2, 2025

Chronic noncommunicable diseases (NCDS) are often characterized by gradual onset and slow progression, but the difficulty in early prediction remains a substantial health challenge worldwide. This study aims to explore interconnectedness of disease occurrence through multi-omics studies validate it large-scale electronic records. In response, research examined data from 160 sub-healthy individuals at high altitude then deep learning model called Omicsformer is developed for detailed analysis classification routine blood samples. adeptly identified potential risks nine including cancer, cardiovascular conditions, psychiatric conditions. Analysis risk trajectories 20 years large clinical patients confirmed validity group preclinical assessment, revealing trends increased time onset. Additionally, straightforward NCDs system developed, utilizing basic test results. work highlights role multiomics chronic risk, development validation predictive models based on results can help advance personalized medicine reduce cost screening community.

Language: Английский

Identification of serum metabolite biomarkers and metabolic reprogramming mechanisms to predict recurrence in cholangiocarcinoma

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 14, 2025

Language: Английский