Editorial: Mendelian randomization and cardiovascular remodeling
Jianxin Qiang, Jia Yang, Yanwu Liu, Ji Zhang, Hao Sun, Lijuan Li, Duo Wang, Yanping Liu, Panpan Hao

Abstract
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TopicsDiet and metabolism studies · Metabolomics and Mass Spectrometry Studies · Traditional Chinese Medicine Studies
1 Introduction
Cardiovascular remodeling—a dynamic process of structural and functional adaptation in the heart and vasculature—is a hallmark of diseases ranging from heart failure to atherosclerosis (Heusch et al., 2014). Despite advances in treatment, its multifactorial etiology, driven by genetic predisposition, metabolic dysregulation, and environmental influences, remains incompletely understood. Mendelian randomization (MR), a method leveraging genetic variants as instrumental variables, has emerged as a powerful tool to disentangle causal relationships in observational data, offering unparalleled insights into disease mechanisms and therapeutic opportunities (Larsson et al., 2023). This Research Topic, Mendelian Randomization and Cardiovascular Remodeling, unites six pioneering studies that exemplify MR’s transformative potential in cardiovascular research. Here, we contextualize their contributions, identify unifying themes, and chart a roadmap for future inquiry.
2 The Power of MR in cardiovascular research
MR’s ability to mitigate confounding and reverse causality has positioned it at the forefront of causal inference. By integrating genetic, metabolomic, and clinical data, the studies in this Research Topic illuminate novel pathways in cardiovascular remodeling.
2.1 Gut-heart axis and metabolic mediators
Guan et al. (2025) employed MR mediation analysis to delineate a causal chain linking gut microbiota dysbiosis (Prevotella copri and Alistipes putredinis) to heart failure via the metabolite Campesterol. This work not only validates the gut microbiome’s role in lipid metabolism but also pioneers a framework for identifying metabolite-mediated therapeutic targets. Their findings underscore the importance of large-scale genomic datasets in overcoming limitations of traditional observational studies.
2.2 Senescence as a driver of cardiac dysfunction
Bian et al. (2024) merged single-cell RNA sequencing with MR to implicate CDKN1A—a senescence-related gene—in cardiomyocyte aging and heart failure progression. By identifying methylation sites (e.g. cg03714916) as modifiable risk factors, this study bridges epigenetics and clinical outcomes, offering a blueprint for targeting cellular senescence in age-related cardiovascular diseases.
2.3 Hematological traits and metabolic disease across ancestries
The MR analysis by Soremekun et al. (2025) revealed ancestry-specific associations between erythrocyte indices (e.g. mean corpuscular hemoglobin) and type 2 diabetes in African populations. These findings challenge conventional paradigms of the pathogenesis of type 2 diabetes and emphasize the need for trans-ancestry studies to address healthcare disparities.
2.4 Metabolomic signatures in vascular pathology
Guo et al. (2024) identified 29 metabolites and ratios, including uridine-pseudouridine and glycochenodeoxycholate sulfate, as causal factors in abdominal aortic aneurysm. Their work expands the metabolomic Frontier in vascular biology, highlighting bile acid signaling and nucleotide metabolism as critical regulators of vascular integrity.
2.5 Pharmacological and lifestyle interventions
Yang et al. (2025) demonstrated butylphthalide’s dual efficacy in reducing carotid plaque burden (via anti-inflammatory and MMP suppression) and improving neurological outcomes, while another MR analysis from this research group linked raw vegetable intake to reduced risk of atherosclerotic cardiovascular disease (Xu et al., 2024). These studies exemplify how MR can guide both drug development and public health strategies.
3 Emerging paradigms and unanswered questions
The collective findings of this Research Topic reveal three transformative themes.
3.1 From correlation to mechanism
MR’s strength lies in its ability to infer causality, yet mechanistic validation remains critical. For instance, Campesterol’s role in heart failure warrants exploration in preclinical models to clarify its impact on myocardial lipid metabolism. Similarly, CDKN1A’s regulatory network in senescence demands single-cell epigenomic profiling to identify downstream targets.
3.2 Ancestry-informed precision medicine
The divergent diabetes-hematology associations between African and European cohorts underscore the limitations of Eurocentric genomic databases. Future MR studies must prioritize diverse populations to uncover ancestry-specific pathways and optimize therapeutic strategies.
3.3 Multi-omics integration
While individual studies focused on genomics or metabolomics, integrating proteomics, microbiomics, and clinical data could resolve complex interactions. For example, combining gut microbiome profiles with cardiac proteomic datasets might elucidate how microbial metabolites modulate CDKN1A-driven senescence.
4 Future directions: bridging discovery to therapy
To translate MR-derived insights into clinical impact, we propose.
4.1 Preclinical platforms for causal validation
Organoid models and CRISPR-based screens could test hypotheses generated by MR (e.g. Campesterol inhibition in heart failure) while minimizing ethical and logistical challenges of human trials.
4.2 Trans-ancestry consortia
Large-scale collaborations, such as the Global Cardiovascular MR Initiative, should harmonize genomic and metabolomic data across ancestries to identify universal versus population-specific therapeutic targets.
4.3 Precision nutrition and digital health
MR can personalize dietary recommendations (e.g. uridine-rich diets for aortic aneurysm prevention) and integrate with digital tools (e.g. wearable biomarkers) to monitor intervention efficacy in real time.
5 Conclusion
This Research Topic exemplifies MR’s pivotal role in advancing cardiovascular medicine—from uncovering causal pathways to guiding targeted interventions. As the field evolves, interdisciplinary collaboration will be essential to harness multi-omics data, address health inequities, and transform causal insights into therapies that halt or reverse cardiovascular remodeling. The journey from genetic variant to bedside innovation has begun, and MR is leading the way.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Heusch G.Libby P.Gersh B.Yellon D.Böhm M.Lopaschuk G. (2014). Cardiovascular remodelling in coronary artery disease and heart failure. Lancet . 383, 1933–1943. 10.1016/S 0140-6736(14)60107-0 24831770 PMC 4330973 · doi ↗ · pubmed ↗
- 2Larsson S. C.Butterworth A. S.Burgess S. (2023). Mendelian randomization for cardiovascular diseases: principles and applications. Eur. heart J. 44, 4913–4924. 10.1093/eurheartj/ehad 736 37935836 PMC 10719501 · doi ↗ · pubmed ↗
