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Updated: Aug 15, 2026

In Vitro Modeling of Fat Deposition in Metabolic Dysfunction-Associated Steatotic Liver Disease
Published on: July 19, 2024
Metabolic Burden and Hyperuricemia Are Associated With CKD-Related Outcomes in Individuals With and Without Steatotic
Michihiro Iwaki1, Hideki Fujii2, Yoshihiro Kamada3
1Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Insights
Cardiometabolic abnormalities, not just steatotic liver disease (SLD), are key drivers of chronic kidney disease (CKD) outcomes. Hyperuricemia is a valuable marker for assessing kidney risk in individuals with metabolic concerns.
Area of Science:
- Nephrology
- Hepatology
- Metabolic Syndrome
Background:
- Steatotic liver disease (SLD) is linked to chronic kidney disease (CKD).
- The independent contribution of hepatic steatosis versus cardiometabolic factors to CKD is unclear.
- This study investigates the drivers of CKD outcomes in a large Japanese cohort.
Purpose of the Study:
- To determine the relative impact of hepatic steatosis and cardiometabolic risk factors on CKD-related outcomes.
- To assess the role of hyperuricemia in renal risk stratification.
Main Methods:
- Analysis of 30,648 SLD and 76,182 non-SLD participants from the MIRACLE-J cohort (Japan, 2014-2018).
- CKD outcomes defined as reduced estimated glomerular filtration rate (eGFR < 60 mL/min/1.73 m²) and proteinuria.
- Multivariable logistic regression and trend analyses were employed.
Main Results:
- SLD participants had a higher burden of cardiometabolic abnormalities.
- Cardiometabolic factors (diabetes, obesity, hyperuricemia) were associated with proteinuria and reduced eGFR.
- SLD itself showed an inverse association with CKD outcomes after adjustment.
- CKD prevalence increased with the number of cardiometabolic risk factors in both SLD and non-SLD groups.
- Hyperuricemia significantly improved risk prediction models for reduced eGFR and proteinuria.
Conclusions:
- Cardiometabolic abnormalities are more strongly associated with CKD outcomes than SLD alone.
- These associations are consistent across individuals with and without SLD.
- Hyperuricemia offers incremental value for renal risk stratification within a cardiometabolic framework.
Aim:
Although steatotic liver disease (SLD) has been associated with chronic kidney disease (CKD), it remains unclear whether CKD-related outcomes are driven by hepatic steatosis itself or by accompanying cardiometabolic abnormalities. We investigated the relative contribution of hepatic steatosis and cardiometabolic risk factors to CKD-related outcomes using a large Japanese health screening cohort.
Methods:
In total, 30,648 SLD and 76,182 non-SLD participants enrolled in the MIRACLE-J cohort across 13 centers in Japan between 2014 and 2018 were analyzed. CKD-related outcomes were defined as reduced estimated glomerular filtration rate (eGFR< 60 mL/min/1.73 m2) and proteinuria. Multivariable logistic regression and trend analyses were performed to identify factors associated with these outcomes.
Results:
Compared with non-SLD participants, those with SLD exhibited a higher burden of cardiometabolic abnormalities. Type 2 diabetes mellitus, obesity, and hyperuricemia were independently associated with proteinuria, whereas advanced age (≥ 65 years), low alcohol intake, and hyperuricemia were strongly associated with reduced eGFR. After multivariable adjustment, SLD showed an inverse association with CKD-related outcomes. In both SLD and non-SLD populations, the prevalence of CKD-related outcomes increased stepwise with a higher number of cardiometabolic risk factors. Incorporation of hyperuricemia significantly improved model fit for reduced eGFR (Δ-2 log likelihood = 119.4, p < 0.001) and modestly improved model fit for proteinuria (p = 0.002).
Conclusions:
CKD-related outcomes were more strongly associated with the burden of cardiometabolic abnormalities than with hepatic steatosis itself, and these associations were consistent in individuals with and without SLD. Hyperuricemia provided incremental value for renal risk stratification within this cardiometabolic framework, underscoring the importance of comprehensive metabolic risk assessment beyond liver fat status.
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