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Jianxin Qiang1†Jia Yang2†Yanwu Liu1†Ji Zhang3†Hao Sun4†Lijuan Li1†Duo Wang3†
Yanping Liu5*
Panpan Hao1,6*- 1Department of Cardiology, Wuzhong People’s Hospital Affiliated to Ningxia Medical University, Wuzhong, Ningxia, China
- 2120 First-aid Call Center, Wuzhong People’s Hospital Affiliated to Ningxia Medical University, Wuzhong, Ningxia, China
- 3Department of Neurology, Wuzhong People’s Hospital Affiliated to Ningxia Medical University, Wuzhong, Ningxia, China
- 4Department of Teaching and Research, Wuzhong People’s Hospital Affiliated to Ningxia Medical University, Wuzhong, Ningxia, China
- 5Department of Radiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
- 6Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
Editorial on the Research Topic
Mendelian randomization and cardiovascular remodeling
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.
Author contributions
JQ: Validation, Visualization, Writing–original draft. JY: Validation, Writing–original draft, Data curation, Visualization. YwL: Writing–review and editing, Data curation, Validation, Visualization. JZ: Validation, Writing–review and editing, Data curation, Visualization. HS: Validation, Writing–review and editing, Visualization, Data curation. LL: Data curation, Visualization, Validation, Writing–review and editing. DW: Validation, Writing–review and editing, Data curation, Visualization. YpL: Validation, Conceptualization, Supervision, Writing–review and editing, Project administration. PH: Project administration, Data curation, Visualization, Writing–review and editing, Validation, Supervision.
Funding
The author(s) declare that no financial support was received for the research and/or publication of this article.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
Heusch, G., Libby, P., Gersh, B., Yellon, D., Böhm, M., Lopaschuk, G., et al. (2014). Cardiovascular remodelling in coronary artery disease and heart failure. Lancet. 383, 1933–1943. doi:10.1016/S0140-6736(14)60107-0
Keywords: mendelian randomization, cardiovascular remodeling, heart failure, diabetes, atheroclerosis
Citation: Qiang J, Yang J, Liu Y, Zhang J, Sun H, Li L, Wang D, Liu Y and Hao P (2025) Editorial: Mendelian randomization and cardiovascular remodeling. Front. Pharmacol. 16:1593325. doi: 10.3389/fphar.2025.1593325
Received: 13 March 2025; Accepted: 17 March 2025;
Published: 25 March 2025.
Edited and reviewed by:
Eliot Ohlstein, Drexel University School of Medicine, United StatesCopyright © 2025 Qiang, Yang, Liu, Zhang, Sun, Li, Wang, Liu and Hao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Panpan Hao, cGFuZGEuaG93QHNkdS5lZHUuY24=; Yanping Liu, bGl1eWFucGluZ0BzZHUuZWR1LmNu
†These authors have contributed equally to this work