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Shift to Fatty Substrate Utilization in Response to Sodium–Glucose Cotransporter 2 Inhibition in Subjects Without Diabetes and Patients With Type 2 Diabetes
Abstract
Pharmacologically induced glycosuria elicits adaptive responses in glucose homeostasis and hormone release. In type 2 diabetes (T2D), along with decrements in plasma glucose and insulin levels and increments in glucagon release, sodium–glucose cotransporter 2 (SGLT2) inhibitors induce stimulation of endogenous glucose production (EGP) and a suppression of tissue glucose disposal (TGD). We measured fasting and postmeal glucose fluxes in 25 subjects without diabetes using a double glucose tracer technique; in these subjects and in 66 previously reported patients with T2D, we also estimated lipolysis (from [2H5]glycerol turnover rate and circulating free fatty acids, glycerol, and triglycerides), lipid oxidation (LOx; by indirect calorimetry), and ketogenesis (from circulating β-hydroxybutyrate concentrations). In both groups, empagliflozin administration raised EGP, lowered TGD, and stimulated lipolysis, LOx, and ketogenesis. The pattern of glycosuria-induced changes was similar in subjects without diabetes and in those with T2D but quantitatively smaller in the former. With chronic (4 weeks) versus acute (first dose) drug administration, glucose flux responses were attenuated, whereas lipid responses were enhanced; in patients with T2D, fasting β-hydroxybutyrate levels rose from 246 ± 288 to 561 ± 596 µmol/L (P < 0.01). We conclude that by shunting substantial amounts of carbohydrate into urine, SGLT2-mediated glycosuria results in a progressive shift in fuel utilization toward fatty substrates. The associated hormonal milieu (lower insulin-to-glucagon ratio) favors glucose release and ketogenesis.
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Empagliflozin, Cardiovascular Outcomes, and Mortality in Type 2 Diabetes
Zinman, B., Wanner, C., Lachin, J. M., Fitchett, D., Bluhmki, E., Hantel, S., Mattheus, M., Devins, T., Johansen, O. E., Woerle, H. J., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504720 · Cited by 12,315
Metabolic response to sodium-glucose cotransporter 2 inhibition in type 2 diabetic patients
Ferrannini, E., Muscelli, E., Frascerra, S., Baldi, S., Mari, A., Heise, T., Broedl, U. C., & Woerle, H.-J. (2014) · Journal of Clinical Investigation · doi:10.1172/jci72227 · Cited by 1,134
Self-citationEffect of fatty acids on glucose production and utilization in man.
Ferrannini, E., Barrett, E. J., Bevilacqua, S., & DeFronzo, R. A. (1983) · Journal of Clinical Investigation · doi:10.1172/jci111133 · Cited by 1,050
Self-citationBonner, C., Kerr-Conte, J., Gmyr, V., Queniat, G., Moerman, E., Thévenet, J., Beaucamps, C., Delalleau, N., Popescu, I., Malaisse, W. J., et al. (2015) · Nature Medicine · doi:10.1038/nm.3828 · Cited by 670
Rosenstock, J., & Ferrannini, E. (2015) · Diabetes Care · doi:10.2337/dc15-1380 · Cited by 664
Self-citationInsulin within islets is a physiologic glucagon release inhibitor
Maruyama, H., Hisatomi, A., Orci, L., Grodsky, G. M., & Unger, R. H. (1984) · Journal of Clinical Investigation · doi:10.1172/jci111658 · Cited by 303
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CV Protection in the EMPA-REG OUTCOME Trial: A “Thrifty Substrate” Hypothesis
Ferrannini, E., Mark, M., & Mayoux, E. (2016) · Diabetes Care · doi:10.2337/dc16-0330 · Cited by 975
Self-citationInzucchi, S. E., Zinman, B., Fitchett, D., Wanner, C., Ferrannini, E., Schumacher, M., Schmoor, C., Ohneberg, K., Johansen, O. E., George, J. T., et al. (2018) · Diabetes Care · doi:10.2337/dc17-1096 · Cited by 740
Self-citationMudaliar, S., Alloju, S., & Henry, R. R. (2016) · Diabetes Care · doi:10.2337/dc16-0542 · Cited by 571
Canagliflozin and Heart Failure in Type 2 Diabetes Mellitus: Results From the CANVAS Program
Rådholm, K., Figtree, G., Perkovic, V., Solomon, S. D., Mahaffey, K. W., de Zeeuw, D., Fulcher, G., Barrett, T. D., Shaw, W., Desai, M., et al. (2018) · Circulation · doi:10.1161/circulationaha.118.034222 · Cited by 488
Dhatariya, K. K., Glaser, N. S., Codner, E., & Umpierrez, G. E. (2020) · Nature Reviews Disease Primers · doi:10.1038/s41572-020-0165-1 · Cited by 461
Tomita, I., Kume, S., Sugahara, S., Osawa, N., Yamahara, K., Yasuda-Yamahara, M., Takeda, N., Chin-Kanasaki, M., Kaneko, T., Mayoux, E., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.06.020 · Cited by 376
Emerging role of SGLT-2 inhibitors for the treatment of obesity
Pereira, M. J., & Eriksson, J. W. (2019) · Drugs · doi:10.1007/s40265-019-1057-0 · Cited by 342
Caprio, M., Infante, M., Moriconi, E., Armani, A., Fabbri, A., Mantovani, G., Mariani, S., Lubrano, C., Poggiogalle, E., Migliaccio, S., et al. (2019) · Journal of Endocrinological Investigation · doi:10.1007/s40618-019-01061-2 · Cited by 283
Ketoacidosis associated with SGLT2 inhibitor treatment: analysis of FAERS data
Blau, J. E., Tella, S. H., Taylor, S. I., & Rother, K. I. (2017) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2924 · Cited by 271
SGLT2 inhibitors and diabetic ketoacidosis: data from the FDA Adverse Event Reporting System
Fadini, G. P., Bonora, B. M., & Avogaro, A. (2017) · Diabetologia · doi:10.1007/s00125-017-4301-8 · Cited by 242
Herrington, W. G., Preiss, D., Haynes, R., von Eynatten, M., Staplin, N., Hauske, S. J., George, J. T., Green, J. B., Landray, M. J., Baigent, C., et al. (2018) · Clinical Kidney Journal · doi:10.1093/ckj/sfy090 · Cited by 237
Cardiac and Renal Effects of Sodium-Glucose Co-Transporter 2 Inhibitors in Diabetes
Zelniker, T. A., & Braunwald, E. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.06.040 · Cited by 236
Lee, P. C., Ganguly, S., & Goh, S. ‐. (2018) · Obesity Reviews · doi:10.1111/obr.12755 · Cited by 189
Liu, Z., Ma, X., Ilyas, I., Zheng, X., Luo, S., Little, P. J., Kamato, D., Sahebkar, A., Wu, W., Weng, J., et al. (2021) · Theranostics · doi:10.7150/thno.54498 · Cited by 155
Xu, L., & Ota, T. (2017) · Adipocyte · doi:10.1080/21623945.2017.1413516 · Cited by 134
SGLT2 inhibitors as adjunctive therapy for type 1 diabetes: Balancing benefits and risks
Taylor, S. I., Blau, J. E., Rother, K. I., & Beitelshees, A. L. (2019) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(19)30154-8 · Cited by 124
Bonora, B. M., Avogaro, A., & Fadini, G. P. (2018) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.13012 · Cited by 118
Design, recruitment, and baseline characteristics of the EMPA-KIDNEY trial
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SGLT2-inhibitors; more than just glycosuria and diuresis
Fathi, A., Vickneson, K., & Singh, J. S. (2021) · Heart Failure Reviews · doi:10.1007/s10741-020-10038-w · Cited by 109
Packer, M. (2021) · Cardiovascular Research · doi:10.1093/cvr/cvaa064 · Cited by 86
AMPK is associated with the beneficial effects of antidiabetic agents on cardiovascular diseases
Lu, Q., Li, X., Liu, J., Sun, X., Rousselle, T., Ren, D., Tong, N., & Li, J. (2019) · Bioscience Reports · doi:10.1042/bsr20181995 · Cited by 69
Coelho, F. D. S., Borges‐Canha, M., von Hafe, M., Neves, J. S., Vale, C., Leite, A. R., Carvalho, D., & Leite‐Moreira, A. (2021) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3413 · Cited by 61
Tsai, W.-C., Hsu, S.-P., Chiu, Y.-L., Yang, J.-Y., Pai, M.-F., Ko, M.-J., Tu, Y.-K., Hung, K.-Y., Chien, K.-L., Peng, Y.-S., et al. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-060655 · Cited by 53
Newman, A. A., Grimm, N. C., Wilburn, J. R., Schoenberg, H. M., Trikha, S. R. J., Luckasen, G. J., Biela, L. M., Melby, C. L., & Bell, C. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-01741 · Cited by 50
Bertoccini, L., & Baroni, M. G. (2020) · Advances in Experimental Medicine and Biology · doi:10.1007/5584_2020_494 · Cited by 49
Stanciu, G. D., Rusu, R. N., Bild, V., Filipiuc, L. E., Tamba, B.-I., & Ababei, D. C. (2021) · Biomedicines · doi:10.3390/biomedicines9050576 · Cited by 47
Trujillo, J. M., & Nuffer, W. A. (2017) · Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy · doi:10.1002/phar.1903 · Cited by 42
“However, the majority of the observed weight loss arises from a reduction in body fat mass, 18 which might be explained by a shift in substrate utilization from carbohydrates to lipids.(26) Clinical trials investigating SGLT2 inhibitors (as monotherapy and combination therapy) reported small increases in low-density l…”
BackgroundGrubelnik, V., Markovič, R., Lipovšek, S., Leitinger, G., Gosak, M., Dolenšek, J., Valladolid-Acebes, I., Berggren, P.-O., Stožer, A., Perc, M., et al. (2020) · Royal Society Open Science · doi:10.1098/rsos.191171 · Cited by 32
Girardi, A. C. C., Polidoro, J. Z., Castro, P. C., Pio-Abreu, A., Noronha, I. L., & Drager, L. F. (2024) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00143.2024 · Cited by 32
Ruste, M., Schweizer, R., Groisne, L., Fellahi, J.-L., & Jacquet-Lagrèze, M. (2024) · British Journal of Anaesthesia · doi:10.1016/j.bja.2023.11.015 · Cited by 15
Kugathasan, L., Aronson, Y., Sridhar, V. S., Ni, H., Ouimet, J.-P., Limonte, C. P., Sarma, S., & Cherney, D. Z. I. (2025) · Expert Review of Clinical Immunology · doi:10.1080/1744666x.2025.2537446 · Cited by 9
Metadata
- Authors
- Ferrannini, E., Baldi, S., Frascerra, S., Astiarraga, B., Heise, T., Bizzotto, R., Mari, A., Pieber, T. R., & Muscelli, E.
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2016-02-09
- Volume
- 65
- Issue
- 5
- Pages
- 1190-1195
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2341611738
- Cited by
- 712
- References
- 6
- FWCI
- 45.03
- Type
- journal article
- Language
- en
- Open access
- closed
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