⚡ Quick Summary

This study investigates the association between urinary phthalate metabolites and stroke risk among US adults, utilizing data from the National Health and Nutrition Examination Survey (NHANES). The findings reveal that higher levels of specific phthalates are linked to increased stroke prevalence, while moderate coffee consumption may offer a protective effect. ☕

🔍 Key Details

• 📊 Dataset: 10,771 adult participants from NHANES (2003-2018)
• 🧩 Features used: Urinary phthalate metabolites, stroke status, clinical covariates
• ⚙️ Technology: Multivariable logistic regression, restricted cubic spline models, machine learning algorithms
• 🏆 Performance: Random Forest achieved an AUC of 0.833

🔑 Key Takeaways

• 📊 Higher levels of MECPP, MCPP, MNBP, and MEOHP are significantly associated with increased stroke prevalence.
• 💡 SRC was identified as a key target in the molecular pathways linked to stroke risk.
• 🤖 Random Forest demonstrated the highest predictive performance among machine learning methods.
• ☕ Moderate coffee consumption (≤ 170 g/day) is associated with a reduced risk of stroke (OR = 0.63).
• 🌍 Study highlights the potential dietary mitigation against phthalate-related stroke risk.
• 🔬 Molecular docking confirmed strong binding affinity between MBZP and SRC.
• 📈 Machine learning approaches can enhance our understanding of environmental health risks.

📚 Background

Stroke is a leading cause of morbidity and mortality worldwide, with a complex etiology that includes genetic, lifestyle, and environmental factors. Among these, phthalates—ubiquitous environmental chemicals used in various consumer products—have emerged as potential contributors to cerebrovascular health. Understanding their role in stroke risk is crucial for public health and preventive strategies.

🗒️ Study

This cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) spanning from 2003 to 2018. Researchers analyzed the urinary phthalate metabolites of 10,771 adult participants, assessing their stroke status and various clinical covariates. The study employed advanced methodologies, including network toxicology, molecular docking, and machine learning techniques, to explore the associations between phthalate exposure and stroke risk.

📈 Results

The analysis revealed that higher concentrations of specific phthalates, namely MECPP, MCPP, MNBP, and MEOHP, were significantly correlated with an increased prevalence of stroke. The study also identified SRC as a critical target in the molecular pathways associated with stroke risk. Among the machine learning models tested, Random Forest achieved the highest predictive performance, with an AUC of 0.833. Additionally, moderate coffee consumption was linked to a reduced risk of stroke, suggesting a potential dietary intervention.

🌍 Impact and Implications

The findings of this study underscore the importance of considering environmental chemicals like phthalates in stroke risk assessments. By identifying specific phthalates that may contribute to cerebrovascular health issues, public health initiatives can focus on reducing exposure. Furthermore, the potential protective effect of moderate coffee consumption opens avenues for dietary recommendations aimed at mitigating stroke risk. This research highlights the need for continued exploration of environmental factors in health outcomes.

🔮 Conclusion

This study provides valuable insights into the association between environmental chemicals and stroke risk, emphasizing the role of phthalates in cerebrovascular health. The identification of SRC as a key molecular target and the protective effect of moderate coffee consumption are significant findings that warrant further investigation. As we advance our understanding of these relationships, we can better inform public health strategies and individual choices to promote cardiovascular health.

💬 Your comments

What are your thoughts on the impact of environmental chemicals on stroke risk? Do you believe dietary interventions like coffee consumption can play a role in mitigating these risks? Let’s engage in a discussion! 💬 Share your insights in the comments below or connect with us on social media:

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