Submitted:
29 January 2026
Posted:
30 January 2026
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Abstract
Keywords:
1. Introduction
1.1. Gut Microbiome Alterations in HFpEF:
1.2. Metabolomic Consequences:
2. Microbiome-Derived Metabolites: Key Players in HFpEF Pathogenesis
2.1. Short-Chain Fatty Acids: The Cardioprotective Deficit
2.2. Trimethylamine N-Oxide: The Inflammatory Culprit
2.3. Amino Acid Metabolites: The Tryptophan-Kynurenine Axis
2.4. Bile Acids: The Double-Edged Metabolites
3. Endothelial Dysfunction in the Gut-Heart Axis
- TMAO-Induced Endothelial Damage: Trimethylamine N-oxide directly impairs endothelial function through several mechanisms. It enhances endothelial cell apoptosis and inflammatory activation, promotes oxidative stress, and reduces nitric oxide bioavailability. Furthermore, TMAO facilitates foam cell formation, accelerates atherosclerosis, and impairs endothelium-dependent vasodilation, all contributing to endothelial dysfunction. [43,44].
- LPS-Mediated Endothelial Activation: Bacterial lipopolysaccharides, crossing the compromised gut barrier, activate endothelial cells via Toll-like receptor 4 signaling. This activation leads to the upregulation of adhesion molecules (ICAM-1, VCAM-1) and chemokines, increasing vascular permeability and inflammatory cell recruitment. This process ultimately contributes to a pro-thrombotic endothelial phenotype and activates complement and coagulation cascades. [45,46,47].
- SCFA Deficiency Effects: A reduction in beneficial short-chain fatty acid levels also contributes to endothelial dysfunction. This deficiency results in decreased G-protein coupled receptor-mediated protective signaling in endothelial cells, impairs endothelial barrier function leading to increased permeability, and reduces the production of anti-inflammatory mediators. Consequently, it compromises endothelial repair and regeneration mechanisms, exacerbating dysfunction. [48,49].
4. Clinical Implications of Endothelial Dysfunction and Therapeutic Targets
5. Therapeutic Interventions Targeting the Gut-Heart Axis in HFpEF
5.1. Probiotic Interventions: Targeted Microbial Supplementation
5.2. Metabolite-Based Therapies and Precision Medicine Approach

6. Future Directions and Research Opportunities:
6.1. Novel Therapeutic Targets
6.2. Advanced Diagnostic Approaches:
6.3. Therapeutic Innovation:
| Proposed Study (Acronym) | Objective | Proposed Design | Primary Endpoints | Secondary Endpoints | Key Innovation |
|---|---|---|---|---|---|
| Precision Microbiome Medicine for HFpEF | Develop and validate a precision medicine platform for personalized microbiome interventions in HFpEF patients | Multi-center RCT; personalized interventions vs. standard care; n=1,000 | Composite CV outcomes, QoL, exercise capacity | Microbiome restoration, metabolite profiles, inflammatory biomarkers | ML-guided real-time microbiome monitoring for treatment optimization |
| Gut–Heart Metabolite Intervention Trial | Assess efficacy/safety of combined SCFA + IPA replacement vs. placebo in metabolite-deficient HFpEF | Phase II/III double-blind RCT; n=500 | Peak VO2, NT-proBNP, diastolic function | Endothelial function, inflammation, gut barrier integrity | First precision metabolite replacement therapy trial in CVD |
| Early HFpEF Detection Through Microbiome Analysis | Develop microbiome biomarkers for early HFpEF detection in at-risk individuals | Prospective cohort; 5-year follow-up; n=2,000 | Time to HFpEF diagnosis, predictive accuracy | Intermediate phenotypes, cost-effectiveness | First large-scale microbiome-based CV prediction study |
| Microbiome-Targeted Combination Therapy | Evaluate synergy of FMT, probiotics, and metabolite supplementation in refractory HFpEF | Adaptive randomized trial; n=300 | Clinical improvement, HF hospitalization rates, QoL | Microbiome restoration, safety, biomarkers | First systematic combination microbiome therapy trial in HFpEF |
| Pediatric-to-Adult Microbiome Trajectory Study | Determine early-life microbiome influence on adult HFpEF risk | 20-year longitudinal cohort; n=1,000 | Adult CV risk profile, HFpEF incidence | Metabolic health, inflammatory profiles, intervention windows | First lifespan microbiome–cardiovascular link study |
| Environmental Modulation of Gut–Heart Axis | Investigate environmental factors affecting gut-heart axis and HFpEF risk | Multi-cohort; varied exposures; n=5,000 | Environmental associations with microbiome disruption and HFpEF | Mechanistic pathways, reversibility | First comprehensive study of environmental determinants of CV-relevant microbiome changes |
| Artificial Intelligence–Guided Microbiome Therapy | Develop AI algorithms for real-time microbiome therapy optimization | Single-arm pilot; wearable and microbiome monitoring; n=100 | Feasibility, clinical improvement | Algorithm performance, patient acceptability, cost-effectiveness | First AI-driven real-time microbiome therapy approach in CVD |
| Microbiome–Heart Device Integration Study | Test whether microbiome optimization enhances device-based HFpEF therapy efficacy | RCT: device therapy vs. device + microbiome optimization; n=200 | Device efficacy enhancement, clinical outcomes | Inflammatory profiles, device complications, mechanisms | First integration of microbiome therapy with device-based HFpEF treatment |
6.4. Population Health Implications:
7. Conclusion
- (a)
- establishing precision microbiome medicine platforms;
- (b)
- validating combination microbiome therapies;
- (c)
- developing microbiome-based systems for early disease detection;
- (d)
- integrating environmental determinants into treatment planning; and
- (e)
- leveraging artificial intelligence to optimize outcomes.
Funding
Acknowledgments
Conflicts of Interest
References
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