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Ordulj I, Tandara M, Jerković K, Šarić F, Beneš M, Lovrić Kojundžić S, Marinović Guić M, Budimir Mršić D. Does the Location of Fat Accumulation Affect the Degree of Aortic and Renal Arterial Calcification? Biomedicines 2024; 12:860. [PMID: 38672214 PMCID: PMC11048273 DOI: 10.3390/biomedicines12040860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 03/31/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
The vascular risk associated with obesity is particularly associated with visceral adiposity, but recent studies suggest that ectopic fat might contribute to the increased risk of atherosclerotic cardiovascular disease. Our study aimed to explore the connection between arterial calcification of the aorta and renal arteries with visceral and ectopic fat deposits, including liver, pancreatic, and renal sinus fat. Retrospective analysis of thoracoabdominal multi-slice computed tomography (MSCT) scans of 302 patients included measurements of calcification volumes of thoracic and abdominal aorta, and of both renal arteries. On the same scans, the visceral fat volume, liver-to-spleen ratio, pancreatic-to-spleen ratio, and both renal sinus fat areas were retrieved. Logistic regression showed the left kidney sinus fat area to be the most strongly associated with calcifications in the aorta and both renal arteries (coef. from 0.578 to 0.913, p < 0.05). The visceral fat positively predicted aortic calcification (coef. = 0.462, p = 0.008), and on the contrary, the pancreatic fat accumulation even showed protective effects on thoracic and abdominal aorta calcification (coef. = -0.611 and -0.761, p < 0.001, respectively). The results suggest that ectopic fat locations differently impact the calcification of arteries, which should be further explored.
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Affiliation(s)
- Ivan Ordulj
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, Spinčićeva 1, 21000 Split, Croatia; (I.O.); (M.T.); (K.J.); (F.Š.); (S.L.K.); (M.M.G.)
| | - Mirko Tandara
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, Spinčićeva 1, 21000 Split, Croatia; (I.O.); (M.T.); (K.J.); (F.Š.); (S.L.K.); (M.M.G.)
| | - Kristian Jerković
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, Spinčićeva 1, 21000 Split, Croatia; (I.O.); (M.T.); (K.J.); (F.Š.); (S.L.K.); (M.M.G.)
| | - Frano Šarić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, Spinčićeva 1, 21000 Split, Croatia; (I.O.); (M.T.); (K.J.); (F.Š.); (S.L.K.); (M.M.G.)
| | - Miodrag Beneš
- Institute of Public Health Sveti Rok Virovitica, Podravina County, 33000 Virovitica, Croatia;
| | - Sanja Lovrić Kojundžić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, Spinčićeva 1, 21000 Split, Croatia; (I.O.); (M.T.); (K.J.); (F.Š.); (S.L.K.); (M.M.G.)
- School of Medicine, University of Split, Šoltanska 2, 21000 Split, Croatia
- University Department of Health Studies, University of Split, Ruđera Boškovića 35, 21000 Split, Croatia
| | - Maja Marinović Guić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, Spinčićeva 1, 21000 Split, Croatia; (I.O.); (M.T.); (K.J.); (F.Š.); (S.L.K.); (M.M.G.)
- School of Medicine, University of Split, Šoltanska 2, 21000 Split, Croatia
- University Department of Health Studies, University of Split, Ruđera Boškovića 35, 21000 Split, Croatia
| | - Danijela Budimir Mršić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, Spinčićeva 1, 21000 Split, Croatia; (I.O.); (M.T.); (K.J.); (F.Š.); (S.L.K.); (M.M.G.)
- School of Medicine, University of Split, Šoltanska 2, 21000 Split, Croatia
- University Department of Health Studies, University of Split, Ruđera Boškovića 35, 21000 Split, Croatia
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Inokuchi Y, Takashina T, Hayashi Y, Sakihara J, Uematsu M, Kurosaki H. An Evaluation of Renal Sinus Fat Accumulation Using the Anteroposterior Diameter of the Renal Sinus on a Computed Tomography Axial Image. Cureus 2024; 16:e58006. [PMID: 38738023 PMCID: PMC11087672 DOI: 10.7759/cureus.58006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/10/2024] [Indexed: 05/14/2024] Open
Abstract
Backgrounds and objectives Renal sinus fat (RSF) is an indicator of obesity-related complications. However, the measurement and imaging process are complicated. For a simple measurement of RSF, we focused on the kidney's shape change caused by RSF accumulation. Thus, this study aimed to investigate whether the anteroposterior diameter of the renal sinus (APDRS) on a computed tomography (CT) axial image is useful for evaluating RSF accumulation. Materials and methods The correlation between APDRS and RSF was investigated in 98 outpatients who underwent abdominal CT. In addition, the correlation between APDRS or RSF and obesity indicators (estimated glomerular filtration rate from serum creatinine levels (eGFRcreat), body mass index (BMI), and visceral adipose tissue (VAT)) was also investigated. We classified patients based on the presence or absence of at least one underlying disease (chronic kidney disease (CKD), cardiovascular diseases (CVD), hypertension, and type 2 diabetes (T2D)) and investigated significant differences between the two groups at APDRS and RSF. The intraclass correlation coefficient (ICC) was also calculated for APDRS. Results There was a strong positive correlation between RSF and APDRS (r = 0.802, P < 0.01). The obesity indicators (eGFRcreat, BMI, and VAT) were correlated with RSF and APDRS (P < 0.01). Out of 98 outpatients, 48 had at least one underlying disease. There were statistically significant differences in APDRS and RSF between the patients with and without at least one of the underlying diseases caused by obesity (P < 0.01). The inter-reader ICC for the measurement of the APDRS was 0.98. Conclusions APDRS on a CT axial image may be useful for the evaluation of RSF accumulation.
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Affiliation(s)
| | | | | | - Jo Sakihara
- Department of Radiology, Edogawa Hospital, Tokyo, JPN
| | - Masahiro Uematsu
- Department of Radiology and Radiation Oncology, Edogawa Hospital, Tokyo, JPN
| | - Hiromasa Kurosaki
- Department of Radiology and Radiation Oncology, Edogawa Hospital, Tokyo, JPN
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An Q, Zhang QH, Wang Y, Zhang HY, Liu YH, Zhang ZT, Zhang ML, Lin LJ, He H, Yang YF, Sun P, Zhou ZY, Song QW, Liu AL. Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping. Front Public Health 2024; 12:1332346. [PMID: 38322122 PMCID: PMC10846073 DOI: 10.3389/fpubh.2024.1332346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 01/02/2024] [Indexed: 02/08/2024] Open
Abstract
Purpose To explore the association between type 2 diabetes mellitus (T2DM) and body composition based on magnetic resonance fat fraction (FF) mapping. Methods A total of 341 subjects, who underwent abdominal MRI examination with FF mapping were enrolled in this study, including 68 T2DM patients and 273 non-T2DM patients. The FFs and areas of visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and abdominal muscle (AM) were measured at the level of the L1-L2 vertebral. The FF of bone marrow adipose tissue (BMAT) was determined by the averaged FF values measured at the level of T12 and L1 vertebral, respectively. The whole hepatic fat fraction (HFF) and pancreatic fat fraction (PFF) were measured based on 3D semi-automatic segmentation on the FF mapping. All data were analyzed by GraphPad Prism and MedCalc. Results VAT area, VAT FF, HFF, PFF of T2DM group were higher than those of non-T2DM group after adjusting for age and sex (P < 0.05). However, there was no differences in SAT area, SAT FF, BMAT FF, AM area and AM FF between the two groups (P > 0.05). VAT area and PFF were independent risk factors of T2DM (all P < 0.05). The area under the curve (AUC) of the receiver operating characteristic (ROC) for VAT area and PFF in differentiating between T2DM and non-T2DM were 0.685 and 0.787, respectively, and the AUC of PFF was higher than VAT area (P < 0.05). Additionally, in seemingly healthy individuals, the SAT area, VAT area, and AM area were found to be significantly associated with being overweight and/or obese (BMI ≥ 25) (all P < 0.05). Conclusions In this study, it was found that there were significant associations between T2DM and VAT area, VAT FF, HFF and PFF. In addition, VAT area and PFF were the independent risk factors of T2DM. Especially, PFF showed a high diagnostic performance in discrimination between T2DM and non-T2DM. These findings may highlight the crucial role of PFF in the pathophysiology of T2DM, and it might be served as a potential imaging biomarker of the prevention and treatment of T2DM. Additionally, in individuals without diabetes, focusing on SAT area, VAT area and AM area may help identify potential health risks and provide a basis for targeted weight management and prevention measures.
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Affiliation(s)
- Qi An
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Qin-He Zhang
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yue Wang
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Han-Yue Zhang
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yu-Hui Liu
- Department of Medical Imaging, Dalian Medical University, Dalian, China
| | - Zi-Ting Zhang
- Department of Medical Imaging, Dalian Medical University, Dalian, China
| | - Mei-Ling Zhang
- Department of Medical Imaging, Dalian Medical University, Dalian, China
| | | | - Hui He
- Department of Thyroid, Metabolic Diseases and Hernia Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yi-Fan Yang
- Department of Thyroid, Metabolic Diseases and Hernia Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Peng Sun
- Philips Healthcare, Beijing, China
| | | | - Qing-Wei Song
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Ai-Lian Liu
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
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Mitsuno R, Kaneko K, Nakamura T, Kojima D, Mizutani Y, Azegami T, Yamaguchi S, Yamada Y, Jinzaki M, Kinouchi K, Yoshino J, Hayashi K. Association Between Renal Sinus Fat and Cardiometabolic and Renin-Angiotensin System Parameters in Primary Aldosteronism. J Endocr Soc 2023; 8:bvad154. [PMID: 38116128 PMCID: PMC10729860 DOI: 10.1210/jendso/bvad154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Indexed: 12/21/2023] Open
Abstract
Context Renal sinus fat (RSF) accumulation is associated with cardiometabolic diseases, such as obesity, diabetes, hypertension, and chronic kidney disease. However, clinical implications of RSF in primary aldosteronism (PA) remain unclear. Objective We aimed to investigate relationships between RSF volume and key cardiometabolic and renin-angiotensin system (RAS) parameters in PA patients and clarify the differences in these relationships between unilateral and bilateral subtypes. Methods We analyzed data obtained from well-characterized PA patients that involved 45 unilateral (median age: 52 years; 42.2% men) and 92 bilateral patients (51 years; 42.4% men). Results RSF volume normalized by renal volume (RSF%) was greater in the unilateral group than in the bilateral group (P < .05). RSF% was greater in men than in women (P < .05). RSF% positively correlated with parameters related to cardiometabolic risk, including age, body mass index, visceral fat volume, creatinine, triglycerides/high-density lipoprotein cholesterol ratio, uric acid, fasting glucose, and C-reactive protein regardless of PA subtypes (all P < .05). Intriguingly, RSF% positively correlated with plasma aldosterone concentration (PAC), aldosterone-to-renin ratio, and intact parathyroid hormone (iPTH) (all P < .05) in bilateral patients but did not correlate with RAS parameters and even showed an opposite trend in unilateral patients. In subgroup analyses by sex, these distinctions became more evident in women. After adjustment for potential confounders, RSF% remained positively correlated with PAC and iPTH in bilateral patients. Conclusion Our results indicate that RSF accumulation is involved in cardiometabolic dysfunction associated with PA. However, there were distinct correlations between RSF volume and RAS parameters according to sex and PA subtypes.
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Affiliation(s)
- Ryunosuke Mitsuno
- Division of Endocrinology, Metabolism and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Kenji Kaneko
- Division of Endocrinology, Metabolism and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Toshifumi Nakamura
- Division of Endocrinology, Metabolism and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Daiki Kojima
- Division of Endocrinology, Metabolism and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Yosuke Mizutani
- Division of Endocrinology, Metabolism and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Tatsuhiko Azegami
- Division of Endocrinology, Metabolism and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Shintaro Yamaguchi
- Division of Endocrinology, Metabolism and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Yoshitake Yamada
- Department of Radiology, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Masahiro Jinzaki
- Department of Radiology, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Kenichiro Kinouchi
- Division of Endocrinology, Metabolism and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Jun Yoshino
- Division of Endocrinology, Metabolism and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Kaori Hayashi
- Division of Endocrinology, Metabolism and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
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