AUTHOR=Li Wenjun , Zhou Dan , Ji Yanmei , Tian Haitao , Meng Ni , Li Jisheng , Guo Ni , He Xianyu , Dao Mengyao , Jin Xingfang 

TITLE=Exploring the molecular intersection for hypertension, hyperlipidemia and their comorbid conditions through multi-omics approaches

JOURNAL=Frontiers in Cardiovascular Medicine

VOLUME=Volume 12 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2025.1593688

DOI=10.3389/fcvm.2025.1593688

ISSN=2297-055X

ABSTRACT=BackgroundHypertension 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.MethodsMetabolomic 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.ResultsMetabolomics 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.ConclusionsThis multi-omics landscape of comorbid disease pathways and biomarkers lays the foundation for precision diagnosis and treatment of prevalent cardiovascular conditions.