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Perirenal Fat Thickness Contributes to the Estimated 10-year Risk of Cardiovascular Disease and Atherosclerotic Cardiovascular Disease in Type 2 Diabetes Mellitus

Overview

Overview

Journal Front Endocrinol (Lausanne)

Specialty Endocrinology

Date 2024 Jul 23

PMID 39040678

Authors

Authors

Wei Wang

Feng Yan Lv

Mei Tu

Xiu Li Guo

Affiliations

Affiliations

Soon will be listed here.

Abstract

Objective: Perirenal adipose tissue (PAT) has emerged as a potential therapeutic target for cardiovascular disease (CVD). However, the relationship between increased perirenal fat thickness (PrFT) and CVD risks in individuals with type 2 diabetes mellitus (T2DM) remains uncertain. This study aimed to evaluate the association between PrFT and the estimated 10-year risk of CVD and atherosclerotic cardiovascular disease (ASCVD) in T2DM.

Method: The final analysis included 704 participants. PrFT was quantified using non-enhanced computed tomography scans, while the estimated 10-year CVD and ASCVD risk assessments were based on the Framingham and China-PAR equation risk scores, respectively. Multiple regression analysis was employed to analyze the correlation between PrFT and these risk scores.

Results: Higher quartiles of PrFT displayed elevated Framingham and China-PAR equation risk scores (<0.001). After adjusting for cardiometabolic risk factors and visceral fat area, PrFT remained significantly correlated with Framingham equation risk scores in men (=0.098, =0.036) and women (=0.099, =0.032). Similar correlations were observed between PrFT and China-PAR equation risk scores in men (=0.106, =0.009) and women (=0.108, =0.007). Moreover, PrFT emerged as an independent variable associated with a high estimated 10-year risk of CVD and ASCVD, with odds ratios (ORs) of 1.14 (95% CI: 1.04-1.25, =0.016) in men and 1.20 (95% CI: 1.11-1.31, <0.001) in women for high estimated CVD risk, and ORs of 1.22 (95% CI: 1.08-1.41, =0.009) in men and 1.34 (95% CI: 1.12-1.60, <0.001) in women for high estimated 10-year ASCVD risk. Furthermore, restricted cubic spline analyses confirmed a nonlinear relationship between PrFT and high estimated CVD and ASCVD risk in both genders ( for nonlinearity and overall < 0.05).

Conclusions: PrFT contributed as an independent variable to the estimated 10-year risk of CVD and ASCVD in T2DM.

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References

1.

. 10. Cardiovascular Disease and Risk Management: Standards of Care in Diabetes-2024. Diabetes Care. 2023; 47(Suppl 1):S179-S218. PMC: 10725811. DOI: 10.2337/dc24-S010. View

2.

Ke J, Wang Y, Liu S, Li K, Xu Y, Yang L . Relationship of Para and Perirenal Fat and High-Density Lipoprotein and Its Function in Patients with Type 2 Diabetes Mellitus. Int J Endocrinol. 2022; 2021:9286492. PMC: 8716211. DOI: 10.1155/2021/9286492. View

3.

Okeahialam B, Sirisena A, Ike E, Chagok N . Ultrasound assessed peri-renal fat: an index of sub-clinical atherosclerosis. Am J Cardiovasc Dis. 2021; 10(5):564-568. PMC: 7811913. View

4.

Kim J, Han E, Jin Z, Lee H, Fujimiya M, Murakami G . Fetal topographical anatomy of the upper abdominal lymphatics: its specific features in comparison with other abdominopelvic regions. Anat Rec (Hoboken). 2011; 295(1):91-104. DOI: 10.1002/ar.21527. View

5.

Yang X, Li J, Hu D, Chen J, Li Y, Huang J . Predicting the 10-Year Risks of Atherosclerotic Cardiovascular Disease in Chinese Population: The China-PAR Project (Prediction for ASCVD Risk in China). Circulation. 2016; 134(19):1430-1440. DOI: 10.1161/CIRCULATIONAHA.116.022367. View

6.

Ricci M, Scavizzi M, Ministrini S, De Vuono S, Pucci G, Lupattelli G . Morbid obesity and hypertension: The role of perirenal fat. J Clin Hypertens (Greenwich). 2018; 20(10):1430-1437. PMC: 8030925. DOI: 10.1111/jch.13370. View

7.

Moritz E, Dadson P, Saukko E, Honka M, Koskensalo K, Seppala K . Renal Sinus Fat Is Expanded in Patients with Obesity and/or Hypertension and Reduced by Bariatric Surgery Associated with Hypertension Remission. Metabolites. 2022; 12(7). PMC: 9320187. DOI: 10.3390/metabo12070617. View

8.

Abdul-Ghani M, Jayyousi A, DeFronzo R, Asaad N, Al-Suwaidi J . Insulin Resistance the Link between T2DM and CVD: Basic Mechanisms and Clinical Implications. Curr Vasc Pharmacol. 2017; 17(2):153-163. DOI: 10.2174/1570161115666171010115119. View

9.

Guo X, Wang J, Tu M, Wang W . Perirenal fat thickness as a superior obesity-related marker of subclinical carotid atherosclerosis in type 2 diabetes mellitus. Front Endocrinol (Lausanne). 2023; 14:1276789. PMC: 10641744. DOI: 10.3389/fendo.2023.1276789. View

10.

Koliaki C, Liatis S, Kokkinos A . Obesity and cardiovascular disease: revisiting an old relationship. Metabolism. 2018; 92:98-107. DOI: 10.1016/j.metabol.2018.10.011. View

11.

Yang J, Li C, Zhang J, Qiu H, Guo X, Wang W . Perirenal Fat Thickness is Associated with Metabolic Dysfunction-Associated Fatty Liver Disease in Type 2 Diabetes Mellitus. Diabetes Metab Syndr Obes. 2023; 16:1953-1965. PMC: 10315154. DOI: 10.2147/DMSO.S415477. View

12.

Mahabadi A, Massaro J, Rosito G, Levy D, Murabito J, Wolf P . Association of pericardial fat, intrathoracic fat, and visceral abdominal fat with cardiovascular disease burden: the Framingham Heart Study. Eur Heart J. 2009; 30(7):850-6. PMC: 3693564. DOI: 10.1093/eurheartj/ehn573. View

13.

Bonora E, Targher G, Alberiche M, Bonadonna R, Saggiani F, Zenere M . Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: studies in subjects with various degrees of glucose tolerance and insulin sensitivity. Diabetes Care. 2000; 23(1):57-63. DOI: 10.2337/diacare.23.1.57. View

14.

Couch C, Fowler L, Goss A, Gower B . Associations of renal sinus fat with blood pressure and ectopic fat in a diverse cohort of adults. Int J Cardiol Cardiovasc Risk Prev. 2023; 16:200165. PMC: 9975207. DOI: 10.1016/j.ijcrp.2022.200165. View

15.

Koo B, Denenberg J, Wright C, Criqui M, Allison M . Associations of Perirenal Fat Thickness with Renal and Systemic Calcified Atherosclerosis. Endocrinol Metab (Seoul). 2020; 35(1):122-131. PMC: 7090296. DOI: 10.3803/EnM.2020.35.1.122. View

16.

Davidiuk A, Parker A, Thomas C, Leibovich B, Castle E, Heckman M . Mayo adhesive probability score: an accurate image-based scoring system to predict adherent perinephric fat in partial nephrectomy. Eur Urol. 2014; 66(6):1165-71. DOI: 10.1016/j.eururo.2014.08.054. View

17.

DAgostino Sr R, Vasan R, Pencina M, Wolf P, Cobain M, Massaro J . General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation. 2008; 117(6):743-53. DOI: 10.1161/CIRCULATIONAHA.107.699579. View

18.

Liang J, Li Q, Fu Z, Liu X, Shen P, Sun Y . Validation and comparison of cardiovascular risk prediction equations in Chinese patients with Type 2 diabetes. Eur J Prev Cardiol. 2023; 30(12):1293-1303. DOI: 10.1093/eurjpc/zwad198. View

19.

Pai J, Pischon T, Ma J, Manson J, Hankinson S, Joshipura K . Inflammatory markers and the risk of coronary heart disease in men and women. N Engl J Med. 2004; 351(25):2599-610. DOI: 10.1056/NEJMoa040967. View

20.

Bragg F, Holmes M, Iona A, Guo Y, Du H, Chen Y . Association Between Diabetes and Cause-Specific Mortality in Rural and Urban Areas of China. JAMA. 2017; 317(3):280-289. PMC: 6520233. DOI: 10.1001/jama.2016.19720. View