Kidney and liver fat accumulation: from imaging to clinical consequences

• Published in: Journal of nephrology Vol. 37; no. 2; pp. 483 - 490
• Main Authors: Yıldız, Abdullah B., Vehbi, Sezan, Copur, Sidar, Gurses, Bengi, Siriopol, Dimitrie, Karakaya, Bahar Afak Durur, Hasbal, Nuri B., Tekin, Bahar, Akyıldız, Murat, van Raalte, Daniel H., Cozzolino, Mario, Kanbay, Mehmet
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01-03-2024
• Subjects: Medicine; Medicine & Public Health; Nephrology; Original Article; Urology; Metabolic syndrome; Urine albumin-to-creatinine ratio; Kidney fat; MRI-PDFF; Liver steatosis
• ISSN: 1724-6059; 1724-6059
• DOI: 10.1007/s40620-023-01824-4

Background
Recent studies indicate that accumulation of adipose tissue in various organs such as liver and kidney may contribute to the pathophysiology of metabolic syndrome. We aim to investigate the association between kidney and liver adipose tissue accumulation, assessed by the magnetic resonance imaging (MRI) proton density fat fraction technique, along with its relation to clinical and biochemical parameters.
Methods
We included 51 volunteers with phenotypical features of metabolic syndrome (mean age = 34 years, mean body-mass index = 26.4 kg/m
2
) in our study in which liver and kidney adipose tissue accumulation was assessed via MRI-proton density fat fraction along with multiple other clinical and biochemical parameters such as estimated glomerular filtration rate (eGFR), urine albumin-to-creatinine ratio, serum lipid profile, liver function tests and body-mass index (BMI).
Results
Our results from the univariate linear regression analysis indicate that both the kidney and liver scores were positively correlated with markers such as BMI, urine albumin-to-creatinine ratio, triglycerides (
p
 < 0.001) and negatively correlated with eGFR (
p
 < 0.05). In multivariate analysis, urine albumin-to-creatinine ratio (
p
 < 0.05), triglycerides (
p
 < 0.01), eGFR (
p
 < 0.05) and BMI (
p
 < 0.001) were found to be independently associated with kidney and liver fat accumulation, respectively (
R
2
 = 0.64;
R
2
 = 0.89). There was also a positive correlation between kidney and liver fat accumulation.
Conclusion
We have found a significant association between adipose tissue accumulation in liver and kidney and the parameters of metabolic syndrome. Moreover, the presence of a strong association between kidney and liver fat accumulation and kidney function parameters such as urine albumin-to-creatinine ratio and eGFR may be an indicator of the clinical significance of parenchymal fat accumulation.
Graphical abstract