Dissecting causal networks of inflammatory factors and metabolites in heart failure: A mediation Mendelian randomization study

Heart failure (HF) represents a major global health burden, with complex pathophysiology involving inflammatory and metabolic pathways. However, the causal relationships among inflammatory factors, metabolites, and HF risk remain unclear. This study aims to identify inflammatory factors causally associated with HF risk, characterize metabolic alterations causally linked to HF development, and explore potential mediating roles of metabolites in inflammation-related HF pathogenesis. We conducted a comprehensive Mendelian randomization study using genetic data from FinnGen biobank (29,218 HF cases and 381,838 controls), combined with genome-wide association studies data for 91 inflammatory factors and 1400 metabolites. We performed bidirectional and mediational Mendelian randomization analyses to investigate causal relationships and potential mediating effects of metabolites in inflammation-related HF pathogenesis. We identified 9 inflammatory factors (out of 91) causally associated with HF risk, including 3 risk-promoting factors (interferon gamma: OR = 1.080, matrix metalloproteinase-1: OR = 1.081, tumor necrosis factor-beta: OR = 1.064) and 6 protective factors (CD40L receptor: OR = 0.954, DNER: OR = 0.943, IL-10: OR = 0.950, LIFR: OR = 0.911, TNFSF12: OR = 0.933, uPA: OR = 0.927). More than 13 metabolites (out of 1400) showed robust associations with HF risk, with N-methyl-2-pyridone-5-carboxamide demonstrating the strongest evidence (OR = 1.058). Further analysis revealed 23 significant inflammatory factor-metabolite pairs (out of 1000s of possible combinations), suggesting potential mechanistic pathways through which inflammatory factors influence HF development. This study establishes a comprehensive causal framework linking inflammation to HF through specific metabolic alterations, identifying novel biomarkers and potential therapeutic targets. The findings suggest that combined interventions targeting both inflammatory and metabolic pathways might offer improved strategies for HF prevention and treatment.

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Journal
Medicine
Published
2025-08-08
DOI
https://doi.org/10.1097/md.0000000000043801
Primary Topic
Bioinformatics and Genomic Networks
Type
article
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article

Dissecting causal networks of inflammatory factors and metabolites in heart failure: A mediation Mendelian randomization study

Xin Guan, Yanping Wang
1 links
Medicine
Bioinformatics and Genomic Networks
article

Dissecting causal networks of inflammatory factors and metabolites in heart failure: A mediation Mendelian randomization study

Xin Guan, Yanping Wang
article en

Abstract

Heart failure (HF) represents a major global health burden, with complex pathophysiology involving inflammatory and metabolic pathways. However, the causal relationships among inflammatory factors, metabolites, and HF risk remain unclear. This study aims to identify inflammatory factors causally associated with HF risk, characterize metabolic alterations causally linked to HF development, and explore potential mediating roles of metabolites in inflammation-related HF pathogenesis. We conducted a comprehensive Mendelian randomization study using genetic data from FinnGen biobank (29,218 HF cases and 381,838 controls), combined with genome-wide association studies data for 91 inflammatory factors and 1400 metabolites. We performed bidirectional and mediational Mendelian randomization analyses to investigate causal relationships and potential mediating effects of metabolites in inflammation-related HF pathogenesis. We identified 9 inflammatory factors (out of 91) causally associated with HF risk, including 3 risk-promoting factors (interferon gamma: OR = 1.080, matrix metalloproteinase-1: OR = 1.081, tumor necrosis factor-beta: OR = 1.064) and 6 protective factors (CD40L receptor: OR = 0.954, DNER: OR = 0.943, IL-10: OR = 0.950, LIFR: OR = 0.911, TNFSF12: OR = 0.933, uPA: OR = 0.927). More than 13 metabolites (out of 1400) showed robust associations with HF risk, with N-methyl-2-pyridone-5-carboxamide demonstrating the strongest evidence (OR = 1.058). Further analysis revealed 23 significant inflammatory factor-metabolite pairs (out of 1000s of possible combinations), suggesting potential mechanistic pathways through which inflammatory factors influence HF development. This study establishes a comprehensive causal framework linking inflammation to HF through specific metabolic alterations, identifying novel biomarkers and potential therapeutic targets. The findings suggest that combined interventions targeting both inflammatory and metabolic pathways might offer improved strategies for HF prevention and treatment.

MedicineVol. 104(32)
First Hospital of China Medical University (CN), China Medical University (CN)
Good health and well-being
Openalex Percentile: Top 82%
Bioinformatics and Genomic Networks
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