Deciphering cross-cohort metabolic signatures of immune responses and their implications for disease pathogenesis.

Deciphering cross-cohort metabolic signatures of immune responses and their implications for disease pathogenesis.

Publication date: Sep 10, 2025

The complex interplay between circulating metabolites and immune responses, which is pivotal to disease pathophysiology, remains poorly understood and understudied in systematic research. Here, we performed a comprehensive analysis of the immune response and circulating metabolome in two Western European cohorts (534 and 324 healthy individuals) and one from sub-Saharan Africa (323 healthy donors). At the metabolic level, our analysis revealed sex-specific differences in the correlation between phosphatidylcholine and cytokine responses following ex vivo stimulation. Notably, sphingomyelin exhibited a significant negative correlation with monocyte-derived cytokine production in response to Staphylococcus aureus stimulation, a finding that was validated through functional experiments. Subsequently, using Mendelian randomization analysis, we established a link between sphingomyelin and COVID-19 severity, providing compelling evidence for its modulatory role in immune responses during human infection. Collectively, our results represent a unique resource ( https://lab-li. ciim-hannover. de/apps/imetabomap/ ) for exploring metabolic signatures associated with immune function in different populations, highlighting sphingomyelin metabolism as a potential target in treating inflammatory and infectious diseases.

Concepts Keywords
Africa Immune Response
Covid Mendelian Randomization
Pathophysiology Metabolomics
Staphylococcus Multi-cohort
Understudied Multi-omics

Original Article

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