Longitudinal and cross-sectional analyses show that lower SUA/Cr correlates with depressive symptoms, suggesting its utility as a biomarker.
Objective Emerging evidence suggests that serum uric acid (SUA) can modulate depressive symptoms, potentially via mechanisms involving oxidative stress. However, whether the serum uric acid/creatinine ratio (SUA/Cr)—a biomarker reflecting net uric acid production—is linked to depressive symptoms in middle-to-late life populations remains unknown. Methods Longitudinal and cross-sectional analyses were conducted utilizing nationally representative samples from two countries: the China Health and Retirement Longitudinal Study (CHARLS) for longitudinal assessment and the U.S. National Health and Nutrition Examination Survey (NHANES) for cross-sectional evaluation. Multivariable Cox and logistic regression analyses were employed to examine the relationship between the SUA/Cr and depressive symptoms. Dose-response relationships were modeled using restricted cubic splines (RCS), while sensitivity analyses assessed the stability of results. Results From CHARLS (N = 4317), multivariable Cox regression revealed an inverse relationship between SUA/Cr and depressive symptoms (P-linearity<0.05), with each 1-unit increase linked to a 3% lower risk (HR = 0.97, 95% CI = 0.94-0.99). Q4 showed reduced risk vs Q1 (HR = 0.87, 95% CI = 0.77-0.97). NHANES analysis of cross-sectional data (N = 18 677) confirmed this inverse association (P- linearity<0.05), with a 6% lower odds of significant depression per 1-unit SUA/Cr increase (OR = 0.94, 95% CI = 0.87-1.03). Q3 and Q4 had significantly lower odds vs Q1 (OR = 0.78, 95% CI = 0.64-0.95, and OR = 0.79, 95% CI = 0.65-0.98, respectively). RCS curves confirmed dose-response relationships in both cohorts. Findings remained consistent in sensitivity analyses. Conclusion Depressive symptoms in middle-to-late adulthood were found to be negatively correlated with SUA/Cr levels in longitudinal and cross-sectional analyses. These findings suggest that SUA/Cr levels may function as a biological indicator to facilitate early detection and proactive intervention for depressive disorders.
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Tu et al. (2025) studied this question.
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