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Preliminary lipidomics and transcriptomics reveals stage-specific dynamic metabolic patterns from menopause
Qun Zhan1, Miao-Miao Li1, Xia Chen1
1Department of Gynecology, Nanjing Hospital of Chinese Medicine affiliated to Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Menopause transition significantly alters lipid metabolism and gene expression, with potential biomarkers identified for early intervention in women's metabolic health.
Area of Science:
- Reproductive Endocrinology
- Metabolomics
- Genomics
Background:
- Menopause involves significant hormonal shifts, impacting women's health.
- Understanding metabolic and gene expression changes during menopausal stages is crucial.
Purpose of the Study:
- To systematically analyze clinical indicators, lipid metabolism, and leukocyte transcriptomic profiles across premenopausal, menopause transition, and postmenopausal stages.
- To explore stage-specific characteristics and associations with clinical indicators.
Main Methods:
- Collected clinical indicators and performed untargeted lipidomics and leukocyte transcriptomic sequencing.
- Utilized multivariate statistical analyses, trend clustering, volcano plots, and Venn diagrams.
- Conducted Gene Ontology (GO) and KEGG pathway enrichment analyses.
Main Results:
- Hormonal changes (decreased E2, increased FSH/LH) correlated with lipid alterations (increased CHOL, LDLC) and gene expression.
- Menopause transition showed higher BMI and significant lipid metabolic reorganization.
- Stage-specific genes enriched in inflammation and lipid metabolism pathways were identified.
Conclusions:
- Menopausal stages exhibit distinct lipid metabolism and gene expression profiles, with menopause transition being a critical phase.
- Specific lipids and genes may serve as biomarkers for menopause-associated metabolic differences.
- Findings support early warning and intervention strategies for menopause-related health issues.
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