A1 Refereed original research article in a scientific journal
Waist-to-height ratio as a non-invasive marker of renal sinus fat: a MRI-based cohort study
Authors: Moriconi, Diego; Honka, Miikka-Juhani; Saukko, Ekaterina; Moritz, Emilia; Latva-Rasku, Aino; Dadson, Prince; Tuomola, Nelli; Pekkarinen, Laura; Salminen, Paulina; Nuutila, Pirjo; Rebelos, Eleni
Publisher: Springer Nature
Publication year: 2025
Journal: International Journal of Obesity
ISSN: 0307-0565
eISSN: 1476-5497
DOI: https://doi.org/10.1038/s41366-025-01974-4
Publication's open availability at the time of reporting: Open Access
Publication channel's open availability : Partially Open Access publication channel
Web address : https://doi.org/10.1038/s41366-025-01974-4
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/506017916
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 resultsRenal 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.
ConclusionAdiposity 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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Funding information in the publication:
Part of these studies were funded by the Center of Excellence in Cardiovascular and Metabolic Diseases, supported by the Research Council of Finland (grant 307402 to PN), the University of Turku, Turku University Hospital, and Åbo Akademi University. PN also reports EFSD funding (grant number 96402) and funding from the Sigrid Jusélius Foundation. ER reports funding from the Emil Aaltonen Foundation, the Finnish Cultural Foundation, the Paulo Foundation, the Maud Kuistilan Muistosäätiö, the Finnish Diabetes Foundation, and the Finnish Medical Foundation. MJH reports funding from the Finnish Diabetes Research Foundation, the Academy of Finland (grant number 332151), and COMEGIR s.r.l. Open Access funding provided by University of Turku (including Turku University Central Hospital).