Dataset of Metabolites and Potential Mechanisms of Chemotherapy-Induced Premature Ovarian Failure Based on Non-Targeted Metabolomics

Multiple statistical analyses and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed for data mining and mechanistic exploration. A total of 41 differential metabolites associated with POF were identified and screened in the dataset, among which lipids and lipid analogs accounted for 54%. The results confirmed significant alterations in the serum metabolic profile of CTX-induced POF model mice.

Further analysis indicated that disorders of choline metabolism and glycerophospholipid metabolism serve as the core regulatory links in CTX-induced POF, and the synergistic dysregulation of multiple metabolic pathways is involved in the progression of POF.This dataset systematically contains raw serum metabolomic data, identified differential metabolites, and results of metabolic pathway enrichment analyses from normal mice and POF model mice, with reliable and reproducible data quality.

It provides fundamental experimental data and scientific evidence for further elucidating the pathogenesis of POF, screening early diagnostic metabolic biomarkers, and developing targeted metabolic intervention strategies for POF.