Response evaluation of SGLT2 inhibitor therapy in patients with type 2 diabetes mellitus using 18F-FDG PET/MRI

Sazan Rasul, Barbara Katharina Geist, Helmut Brath, Pascal Baltzer, Lalith Kumar Shiyam Sundar, Verena Pichler, Markus Mitterhauser, Alexandra Kautzky-Willer, Marcus Hacker, Sazan Rasul, Barbara Katharina Geist, Helmut Brath, Pascal Baltzer, Lalith Kumar Shiyam Sundar, Verena Pichler, Markus Mitterhauser, Alexandra Kautzky-Willer, Marcus Hacker

Abstract

Introduction: Inhibitors of sodium-glucose linked transporter-2 (SGLT2i) are enhancing glucose excretion in the proximal renal tubules, and thus are increasingly used to lower blood glucose levels in patients with type 2 diabetes mellitus (T2DM). The glucose analog 2-deoxy-2-(18F) fluoro-D-glucose (FDG) can be used to quantify renal function in vivo, and due to an affinity for SGLT2 could also provide information about SGLT2 transporter function. Our objectives in this study were, therefore, to assess the impact of SGLT2i on renal function parameters in patients with T2DM and identify predictive parameters of long-term response to SGLT2i using dynamic FDG positron emission tomography (PET)/MRI.

Methods: PET FDG renal function measures such as mean transit time (MTT) and general renal performance (GRP) together with glomerular filtration rate (GFR) were determined in 20 patients with T2DM before (T2DMbaseline) and 2 weeks after initiation of therapy with SGLT2i (T2DMSGLT2i). Additionally, dynamic FDG PET data of 24 healthy subjects were used as controls.

Results: MTT in T2DMbaseline was significantly higher than in healthy controls (5.7 min vs 4.3 min, p=0.012) and significantly decreased to 4.4 min in T2DMSGLT2i (p=0.004). GRP of T2DMSGLT2i was higher than of T2DMbaseline (5.2 vs 4.7, p=0.02) and higher but not significantly than of healthy individuals (5.2 vs 5.1, p=0.34). Expectedly, GFR of healthy participants was significantly higher than of T2DMbaseline and T2DMSGLT2i (122 vs 92 and 86 mL/min/1.73 m², respectively; p<0.001). The higher the GRP value in kidneys of T2DMSGLT2i, the lower was the glycated hemoglobin level 3 months after therapy initiation.

Conclusion: MTT and GRP values of patients with T2DM shifted significantly toward values of healthy control 2 weeks after therapy with SGLT2i begins. GRP in T2DMSGLT2i was associated with better long-term glycemic response 3 months after initiation of therapy.

Trial registration number: NCT03557138.

Keywords: PET (positive emission tomography); renal function; sodium glucose cotransporter; type 2 diabetes.

Conflict of interest statement

Competing interests: None declared.

© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
(A) Mean transit times of T2DMbaseline and T2DMSGLT2i versus healthy controls. Mean transit times at baseline were significantly higher than in healthy controls (5.7 min vs 4.3 min, p=0.012) and significantly higher than in 2 weeks after initiation of therapy (5.7 min vs 4.4 min, p=0.004). (B) GRP in T2DMbaseline and T2DMSGLT2i versus healthy controls. In comparison with healthy controls, T2DMbaseline revealed lower levels of GRP (5.1 min vs 4.7 min, p=0.06). Two weeks after SGLT2i treatment, GRP increased from 4.7 to 5.2 (p=0.02) and was almost equal to healthy volunteers. (C) GRP in T2DMbaseline and T2DMSGLT2i in relation to response to SGLT2i therapy. In case of responders to SGLT2i therapy, significant increase in GRP (p<0.01) was observed from baseline to 2 weeks after initiation of therapy (circles). No relevant changes (p=0.46) in GRP values among non-responder patients before and after initiation of to SGLT2i therapy were found (squares). GRP, general renal performance; SGLT2i, sodium-glucose linked transporter-2 inhibitor; T2DM, type 2 diabetes mellitus.

References

    1. Sala-Rabanal M, Hirayama BA, Ghezzi C, et al. . Revisiting the physiological roles of SGLTs and GLUTs using positron emission tomography in mice. J Physiol 2016;594:4425–38.10.1113/JP271904
    1. Wright EM, Loo DDF, Hirayama BA. Biology of human sodium glucose transporters. Physiol Rev 2011;91:733–94.10.1152/physrev.00055.2009
    1. Rahmoune H, Thompson PW, Ward JM, et al. . Glucose transporters in human renal proximal tubular cells isolated from the urine of patients with non-insulin-dependent diabetes. Diabetes 2005;54:3427–34.10.2337/diabetes.54.12.3427
    1. Thomas L, Grempler R, Eckhardt M, et al. . Long-Term treatment with empagliflozin, a novel, potent and selective SGLT-2 inhibitor, improves glycaemic control and features of metabolic syndrome in diabetic rats. Diabetes Obes Metab 2012;14:94–6.10.1111/j.1463-1326.2011.01518.x
    1. Cefalu WT, Leiter LA, Yoon K-H, et al. . Efficacy and safety of canagliflozin versus glimepiride in patients with type 2 diabetes inadequately controlled with metformin (CANTATA-SU): 52 week results from a randomised, double-blind, phase 3 non-inferiority trial. Lancet 2013;382:941–50.10.1016/S0140-6736(13)60683-2
    1. Ferrannini E, Ramos SJ, Salsali A, et al. . Dapagliflozin monotherapy in type 2 diabetic patients with inadequate glycemic control by diet and exercise: a randomized, double-blind, placebo-controlled, phase 3 trial. Diabetes Care 2010;33:2217–24.10.2337/dc10-0612
    1. Devineni D, Morrow L, Hompesch M, et al. . Canagliflozin improves glycaemic control over 28 days in subjects with type 2 diabetes not optimally controlled on insulin. Diabetes Obes Metab 2012;14:539–45.10.1111/j.1463-1326.2012.01558.x
    1. Rosenstock J, Vico M, Wei L, et al. . Effects of dapagliflozin, an SGLT2 inhibitor, on HbA(1c), body weight, and hypoglycemia risk in patients with type 2 diabetes inadequately controlled on pioglitazone monotherapy. Diabetes Care 2012;35:1473–8.10.2337/dc11-1693
    1. Barnett AH, Mithal A, Manassie J, et al. . Efficacy and safety of empagliflozin added to existing antidiabetes treatment in patients with type 2 diabetes and chronic kidney disease: a randomised, double-blind, placebo-controlled trial. Lancet Diabetes Endocrinol 2014;2:369–84.10.1016/S2213-8587(13)70208-0
    1. Yale J-F, Bakris G, Cariou B, et al. . Efficacy and safety of canagliflozin in subjects with type 2 diabetes and chronic kidney disease. Diabetes Obes Metab 2013;15:463–73.10.1111/dom.12090
    1. Perkovic V, Jardine MJ, Neal B, et al. . Canagliflozin and renal outcomes in type 2 diabetes and nephropathy. N Engl J Med Overseas Ed 2019;380:2295–306.10.1056/NEJMoa1811744
    1. Qiao H, Bai J, Chen Y, et al. . Kidney modelling for FDG excretion with PET. Int J Biomed Imaging 2007;2007:6323410.1155/2007/63234
    1. Szabo Z, Xia J, Mathews WB, et al. . Future direction of renal positron emission tomography. Semin Nucl Med 2006;36:36–50.10.1053/j.semnuclmed.2005.08.003
    1. Kobayashi M, Shikano N, Nishii R, et al. . Comparison of the transcellular transport of FDG and D-glucose by the kidney epithelial cell line, LLC-PK1. Nucl Med Commun 2010;31:141–6.10.1097/MNM.0b013e328333bcf5
    1. Geist BK, Baltzer P, Fueger B, et al. . Assessing the kidney function parameters glomerular filtration rate and effective renal plasma flow with dynamic FDG-PET/MRI in healthy subjects. EJNMMI Res 2018;8:3710.1186/s13550-018-0389-1
    1. Fleming JS, Kemp PM. A comparison of deconvolution and the Patlak-Rutland plot in renography analysis. J Nucl Med 1999;40:469–7.10.1097/00006231-199905000-00055
    1. Gates GF. Split renal function testing using Tc-99m DTPA. A rapid technique for determining differential glomerular filtration. Clin Nucl Med 1983;8:400–7.10.1097/00003072-198309000-00003
    1. American Diabetes Association 9. Pharmacologic Approaches to Glycemic Treatment: Standards of Medical Care in Diabetes-2019. Diabetes Care 2019;42:S90–102.10.2337/dc19-S009
    1. Wesolowski MJ, Conrad GR, Šámal M, et al. . A simple method for determining split renal function from dynamic (99m)Tc-MAG3 scintigraphic data. Eur J Nucl Med Mol Imaging 2016;43:550–8.10.1007/s00259-015-3216-1
    1. Ortapamuk H, Naldoken S, Tekdogan UY, et al. . Differential renal function in the prediction of recovery in adult obstructed kidneys after pyeloplasty. Ann Nucl Med 2003;17:663–8.10.1007/BF02984972
    1. Gates GF. Glomerular filtration rate: estimation from fractional renal accumulation of 99mTc-DTPA (stannous). AJR Am J Roentgenol 1982;138:565–70.10.2214/ajr.138.3.565
    1. Durand E, Blaufox MD, Britton KE, et al. . International scientific Committee of radionuclides in Nephrourology (ISCORN) consensus on renal transit time measurements. Semin Nucl Med 2008;38:82–102.10.1053/j.semnuclmed.2007.09.009
    1. Kempi V. A FORTRAN program for deconvolution analysis using the matrix algorithm method with special reference to renography. Comput Methods Programs Biomed 1987;24:107–16.10.1016/0169-2607(87)90021-6
    1. Savitzky A, Golay MJE. Smoothing and differentiation of data by simplified least squares procedures. Anal Chem 1964;36:1627–39.10.1021/ac60214a047
    1. Fleming JS. Functional radionuclide imaging of renal mean transit time and glomerular filtration rate. Nucl Med Commun 1988;9:85–96.10.1097/00006231-198802000-00004
    1. Andrianesis V, Glykofridi S, Doupis J. The renal effects of SGLT2 inhibitors and a mini-review of the literature. Ther Adv Endocrinol Metab 2016;7:212–28.10.1177/2042018816676239
    1. American Diabetes Association Standards of medical care in diabetes--2014. Diabetes Care 2014;37 Suppl 1:S14–80.10.2337/dc14-S014
    1. Vallon V, Gerasimova M, Rose MA, et al. . Sglt2 inhibitor empagliflozin reduces renal growth and albuminuria in proportion to hyperglycemia and prevents glomerular hyperfiltration in diabetic Akita mice. Am J Physiol Renal Physiol 2014;306:F194–204.10.1152/ajprenal.00520.2013
    1. Panchapakesan U, Pegg K, Gross S, et al. . Effects of SGLT2 inhibition in human kidney proximal tubular cells--renoprotection in diabetic nephropathy? PLoS One 2013;8:e5444210.1371/journal.pone.0054442
    1. Kelly MS, Lewis J, Huntsberry AM, et al. . Efficacy and renal outcomes of SGLT2 inhibitors in patients with type 2 diabetes and chronic kidney disease. Postgrad Med 2019;131:31–42.10.1080/00325481.2019.1549459

Source: PubMed

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