Multi-Omics Causal Inference Identifies Phocaeicola vulgatus Mediated Methylthioadenosine Clearance Contributing to Mitochondrial Protection in Heart Failure
Gao, S.; Yang, M.; Lu, Y.; Sun, X.; Qian, Y.; Wang, H.; Chen, T.; Yang, Z.; Du, Z.; Ouyang, Y.; Wang, Y.; Wang, W.; Li, C.
Show abstract
BackgroundHeart failure (HF) is a multifactorial metabolic disorder. While gut microbial dysbiosis is increasingly implicated in HF, the specific causal microbes and their molecular mediators linking intestinal perturbations to cardiac dysfunction remain undefined. MethodsWe performed integrated fecal 16S rRNA and serum metabolomic profiling in a clinical HF cohort comprising 149 HF patients and 50 healthy controls. We systematically assessed the multidimensional alterations and diagnostic potential of the gut microbiome and serum metabolome. Key microbe-metabolite interactions were identified through causal inference and experimentally validated using in vitro bacterial cultures, in vivo mouse models of HF, and assays of mitochondrial function. ResultsHF patients exhibited significant alterations in the gut microbiome and serum metabolome related to energy homeostasis, vascular tone regulation, and inflammatory balance. These differential microbial and metabolic signatures demonstrated superior diagnostic potential for HF. A key finding was depletion of the commensal bacterium Phocaeicola vulgatus led to the accumulation of serum 5-methylthioadenosine (MTA), which in turn induced mitochondrial dysfunction and aggravated cardiac injury. Restoring P. vulgatus mitigated these effects by metabolizing MTA, whereas direct MTA administration recapitulated mitochondrial dysfunction and exacerbated HF pathology. ConclusionsThis study provides an integrative multi-omics perspective on the gut microbiome-serum metabolome interplay in HF, revealing both diagnostic biomarkers and mechanistic insights. Through a causal inference framework, we identify the P. vulgatus-MTA axis as a causal pathway through which gut microbes influence HF progression.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Genome-wide association analysis and Mendelian randomization proteomics identify novel protein biomarkers and drug targets for primary prevention of heart failure 94%
- Epigenetic modulators link mitochondrial redox homeostasis to cardiac function 94%
- Reproducing extracellular matrix adverse remodelling of non-ST myocardialinfarction in a large animal model 93%
Similar papers in this journal
- AARS2 ameliorates myocardial ischemia via fine-tuning PKM2-mediated metabolism 93%
- Single-Cell RNA-seq of Heart Reveals Intercellular Communication Drivers of Myocardial Fibrosis in Diabetic Mice 93%
- Microbiota from young mice counteracts susceptibility to age-related gout through modulating butyric acid levels in aged mice 92%
Similar papers in this journal
- Landscape of human gut antibiotic resistome and progression of diabetes 93%
- Distinct stress-dependent signatures of cellular and extracellular tRNA-derived small RNAs (tDRs) 92%
- Single-nucleus Multiomic Analyses Identifies Gene Regulatory Dynamics of Phenotypic Modulation in Human Aneurysmal Aortic Root 92%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.