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<p>This article aims to examine current epidemiological evidence on the nonlinear association between serum uric acid (SUA) and cardiovascular diseases (CVDs), starting from the metabolism of SUA. Furthermore, it seeks to explore potential biological mechanisms and highlight their relevance to risk prediction and intervention strategies. Increasing evidence suggests that SUA may play a role in the development of various CVDs. These findings imply that the relationship between SUA and CVDs is unlikely to follow a simple linear pattern. Recent studies applying nonlinear statistical models have even revealed potential U-shaped associations, offering new perspectives on this topic. Nevertheless, a comprehensive narrative review that evaluates the nonlinear dose-response relationship between SUA and CVDs risk, along with the underlying biological mechanisms and clinical implications, is still lacking. The findings of this study provide important implications for both clinical practice and future research. For clinical practice, they call for a shift toward precision management. For future research, a key priority is to conduct large-scale prospective studies to identify universal risk thresholds, clarify the nature of the association and investigate potential causal pathways.</p>

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The Nonlinear Relationship Between Serum Uric Acid and Cardiovascular Disease Risk: Mechanistic Insights and Clinical Implications

  • 期刊论文

  • 发表日期：

    2026年3月16日

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  • Chunyan Hou,
  • Zhiwei Zheng,
  • Xiaoqian Zheng,
  • Menghua Liu,
  • Shuling Xu,
  • Rumeng Chen,
  • Meihua Bao,
  • Chunxia Huang,
  • Sen Li

摘要

This article aims to examine current epidemiological evidence on the nonlinear association between serum uric acid (SUA) and cardiovascular diseases (CVDs), starting from the metabolism of SUA. Furthermore, it seeks to explore potential biological mechanisms and highlight their relevance to risk prediction and intervention strategies. Increasing evidence suggests that SUA may play a role in the development of various CVDs. These findings imply that the relationship between SUA and CVDs is unlikely to follow a simple linear pattern. Recent studies applying nonlinear statistical models have even revealed potential U-shaped associations, offering new perspectives on this topic. Nevertheless, a comprehensive narrative review that evaluates the nonlinear dose-response relationship between SUA and CVDs risk, along with the underlying biological mechanisms and clinical implications, is still lacking. The findings of this study provide important implications for both clinical practice and future research. For clinical practice, they call for a shift toward precision management. For future research, a key priority is to conduct large-scale prospective studies to identify universal risk thresholds, clarify the nature of the association and investigate potential causal pathways.