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Waist-to-height ratio as a non-invasive marker of renal sinus fat: a MRI-based cohort study

Moriconi, Diego; Honka, Miikka-Juhani; Saukko, Ekaterina; Moritz, Emilia; Latva-Rasku, Aino; Dadson, Prince; Tuomola, Nelli; Pekkarinen, Laura; Salminen, Paulina; Nuutila, Pirjo; Rebelos, Eleni

Waist-to-height ratio as a non-invasive marker of renal sinus fat: a MRI-based cohort study

Moriconi, Diego
Honka, Miikka-Juhani
Saukko, Ekaterina
Moritz, Emilia
Latva-Rasku, Aino
Dadson, Prince
Tuomola, Nelli
Pekkarinen, Laura
Salminen, Paulina
Nuutila, Pirjo
Rebelos, Eleni
Katso/Avaa
s41366-025-01974-4.pdf (1.192Mb)
Lataukset: 

Springer Nature
doi:10.1038/s41366-025-01974-4
URI
https://doi.org/10.1038/s41366-025-01974-4
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe202601216691
Tiivistelmä

Background and aims

Renal sinus fat (RSF) is an ectopic fat depot whose expansion has been linked to hypertension and chronic kidney disease. We assessed a range of adiposity indices to determine whether they offer more accurate predictions of RSF than BMI.

Methods and results

Renal sinus fat (RSF) and RSF relative to total kidney area (RSF%) were assessed via MRI in 74 individuals with severe obesity and 47 lean volunteers. 50 persons with obesity were re-evaluated 6 to 12 months after undergoing bariatric surgery. In multivariable regression analyses adjusted for age, sex, and BMI, the Body Roundness Index (BRI), waist-to-height ratio (WHtR), and waist circumference showed the strongest associations with RSF. Of these, only WHtR was significantly associated with RSF%. In univariate analyses, both RSF and RSF% were inversely correlated with estimated glomerular filtration rate (eGFR); however, in multivariate analysis, only RSF% remained independently associated with eGFR. Post-bariatric surgery, RSF change correlated with changes in WHtR and BRI.

Conclusion

Adiposity measures incorporating waist circumference are associated with RSF independent of BMI. While RSF exhibits a stronger relationship with adiposity measures, RSF% predicts eGFR. Both metrics offer complementary insights and should be considered in future studies.

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