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Published on: September 20, 2024
Exploring the molecular intersection for hypertension, hyperlipidemia and their comorbid conditions through
Wenjun Li1, Dan Zhou2, Yanmei Ji1
1Department of Cardiovascular Surgery ICU, Yan'an Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Insights
This study integrated multi-omics data to map molecular signatures of hypertension and hyperlipidemia. Key metabolites and microbial changes were identified as potential biomarkers for these cardiovascular conditions.
Area of Science:
- Cardiovascular Research
- Metabolomics
- Metagenomics
- Multi-omics
Background:
- Hypertension and hyperlipidemia significantly increase cardiovascular risk.
- The molecular mechanisms underlying these interconnected conditions require further elucidation.
- Integrated multi-omics approaches are needed to map complex disease signatures.
Purpose of the Study:
- To conduct an integrated multi-omics investigation of hypertension and hyperlipidemia.
- To unravel key molecular pathways and biomarkers associated with these conditions.
- To identify potential diagnostic markers for comorbid hypertension and hyperlipidemia.
Main Methods:
- Serum metabolomic and fecal metagenomic analyses were performed.
- Samples were collected from individuals with hypertension, hyperlipidemia, both, and healthy controls.
- Statistical and pathway analyses were employed to identify significant alterations.
Main Results:
- Metabolomics revealed altered sphingolipids, phosphatidylcholines, and nucleic acid metabolites.
- Metagenomics indicated depletion of Fibrobacteres and altered abundances of specific bacteria.
- Sphingomyelin variants were identified as key diagnostic biomarkers; pathway analysis highlighted alterations in sphingolipid and amino acid metabolism.
Conclusions:
- The study provides a comprehensive multi-omics landscape of comorbid hypertension and hyperlipidemia.
- Identified pathways and biomarkers offer potential for precision diagnosis and treatment.
- This research lays the groundwork for targeted cardiovascular disease management.
Background:
Hypertension and hyperlipidemia are interconnected conditions that heighten cardiovascular risk, yet their intricate multi-scale molecular signatures remain inadequately mapped. This study aimed to conduct an integrated multi-omics investigation to unravel the key pathways and biomarkers underlying hypertension, hyperlipidemia, and both conditions.
Methods:
Metabolomic analysis was performed on serum samples and metagenomic analysis on fecal samples collected from individuals with hypertension (n = 16), hyperlipidemia (n = 19), or both conditions concurrently (n = 20). In addition, 20 healthy individuals were recruited as controls.
Results:
Metabolomics uncovered altered levels of sphingolipids, phosphatidylcholines, glycylprolines, and nucleic acid metabolites, which may be associated with changes in vascular tone, lipid and protein homeostasis, and thyroid signaling. Metagenomics showed depletion in the abundance of the Fibrobacteres phylum. Altered abundances of Escherichia coli and Bacteroides vulgatus were also observed, which were correlated with deviations in lipid and carbohydrate metabolism. Sphingomyelin d18:1/16:0 and sphingomyelin d18:1/24:1(15Z) were the key metabolites that were identified as potential diagnostic biomarkers across conditions. Microbial taxa such as Enterococcus cecorum, Lachnospiraceae bacterium, Prevotella histicola, and Flavobacterium discriminated these diseases. Pathway analysis revealed glycoxylate, amino acid, purine, and sphingolipid metabolism alterations intersecting hypertension and hyperlipidemia.
Conclusions:
This multi-omics landscape of comorbid disease pathways and biomarkers lays the foundation for precision diagnosis and treatment of prevalent cardiovascular conditions.
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