Evidence map›Paper›PMID 41852473›Full record

ArticleFrontiers in endocrinology2026

Preliminary lipidomics and transcriptomics reveals stage-specific dynamic metabolic patterns from menopause transition to postmenopause.

Qun Zhan, Miao-Miao Li, Xia Chen, Run-Ze Feng, Qing-Ling Ren, Qiu Du

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qun Zhan *Department of Gynecology, Nanjing Hospital of Chinese Medicine affiliated to Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Miao-Miao Li *Department of Gynecology, Nanjing Hospital of Chinese Medicine affiliated to Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Xia ChenDepartment of Gynecology, Nanjing Hospital of Chinese Medicine affiliated to Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Run-Ze FengSchool of Graduate, Nanjing University of Chinese Medicine, Nanjing, China.
Qing-Ling RenDepartment of Gynecology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Qiu DuDepartment of Pharmacy, Nanjing Hospital of Chinese Medicine, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to systematically analyze the clinical indicators, lipid metabolism, and leukocyte transcriptomic profiles of premenopausal, menopause transition, and postmenopausal women. It sought to explore stage-specific characteristics of lipid metabolism and gene expression and their potential associations with key clinical indicators. Methods: Clinical indicators were collected, and untargeted lipidomics and leukocyte transcriptomic sequencing were performed. Multivariate statistical analyses were used to assess intergroup differences. Significant patterns in lipid and gene expression changes were identified through trend clustering, volcano plots, and Venn diagram analyses. GO and KEGG enrichment analyses were conducted to investigate the biological functions and pathway enrichment of differentially expressed genes. Results: With advancing menopausal stages, E2 levels were lower, while FSH and LH levels were higher. BMI was higher during the menopause transition and subsequently declined, whereas CHOL and LDLC levels were higher in both the menopause transition and postmenopause stages.Specific lipid classes showed partial return to baseline or further regulation in postmenopause. Transcriptomic analysis identified stage-specific differentially expressed genes enriched in inflammation- and lipid metabolism-related pathways. E2 was positively correlated with lipid molecules and marker genes, but negatively correlated with CHOL. Conclusion: This preliminary study indicates that menopausal stages are associated with significant stage-specific differences in lipid metabolism and gene expression, with the menopause transition identified as a critical phase of lipid metabolic reorganization. Certain lipids and genes may serve as potential biomarkers for menopause-associated metabolic differences. These findings provide important insights for early warning and intervention strategies targeting menopause-related health issues.

Indexed as

Lipid MetabolismLipidomicsMenopausePostmenopauseTranscriptomeAdultBiomarkersFemaleGene Expression ProfilingHumansMiddle AgedBiomarkersleukocyte transcriptomicslipid moleculeslipidomicsmarker genesmenopausal stages

Identifiers

PMID41852473
PMCPMC12991988

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.