Treatment of type 2 diabetes: •Are we on the road? By Abbas Orabi 1 A lot of guidelines!! DDG (Germany)9 HbA1c < 6.5% IDF (Western Pacific Region)7 HbA1c ≤ 6.5% CDA (Canada)4 HbA1c ≤ 7% ADA (US)1 HbA1c < 7% AACE (US)2 HbA1c ≤ 6.5% (UK)5 NICE HbA1c 6.5–7.5% EASD HbA1c < 6.5% Australia8 HbA1c ≤ 7% IDF (Global)3 HbA1c < 6.5% ALAD (Latin America)6 HbA1c < 6–7% Guidelines recommend target HbA1c as near to normal as safely possible 1ADA. Diabetes Care 2007; 30 (Suppl. 1):S4–S41. Diabetes Road Map Task Force, 2005. Available at: www.aace.com/meetings/consensus/odimplementation/roadmap.pdf 3IDF Clinical Guidelines Taskforce, 2005. Available at: www.idf.org/webdata/docs/IDF%20GGT2D.pdf. 4CDA. 2 Can J Diabetes 2003; 27 (Suppl. 2):S1–S152. 5NICE, 2002. Available at: www.nice.org.uk. 6ALAD. Rev Asoc Lat Diab 2000; 8 (Suppl. 1):101–167. 7Asian-Pacific Type 2 Diabetes Policy Group, 2005. Available at: www.idf.org/webdata/docs/T2D_practical_tt.pdf. 8NSW Health Department, 1996 9www.deutsche-diabetes-gesellschaft.de 2ACE/AACE Current management often fails to achieve glycaemic targets CHINA (CODIC-2)1 HbA1c <7.5% Latin America (DEAL)3 HbA1c <7% EUROPE (CODE-2)5 HbA1c <6.5% 43% 32% 68% 31% 57% CANADA 69% (DICE)2 HbA1c ≤7% 49% US (NHANES)4 HbA1c <7% 69% 37% 51% 63% 3 1Xingbao C. Chinese Health Economics 2003; Ling T. China Diabetic Journal 2003. 2Harris SB, et al. Diabetes Res Clin Pract 2005;70:90–97. 3Lopez Stewart G, et al. Rev Panam Salud Publica 2007;22:12–20. 4Saydah SH, et al. JAMA 2004;291:335–342. 5Liebl A, et al. Diabetologia 2002;45:S23–S28. Most Patients with T2DM Do Not Achieve HbA1c Goals Percentages of Adults with HbA1c <7.0% in NHANES III (1988–1994) and NHANES 1999–2000 60 NHANES III (n=1218) 44.3% US Adults (%) 50 NHANES 1999–2000 (n=404) 37.0% 40 30 20 10 0 HbA1c Level <7.0% HbA1c=hemoglobin A1c Adapted from Saydah SH, et al. JAMA. 2004; 291: 335–342. 4 Progression of Hyperglycemia in T2DM (Retrospective Analysis) 8.0 Sulfonylurea Metformin Thiazolidinedione 7.8 HbA1c (%) 7.6 7.4 7.2 7.0 6.8 6.6 6.4 3 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48 Time (months) Riedel AA, et al. Diabetes. 2006; 55 (Suppl 1): A132. 5 Abnormal Pancreatic Islet Function Determines the Development of IGT and T2DM in the Setting of Insulin Resistance Age, lifestyle, environmental factors Insulin resistance Normal islet function NGT Abnormal islet function IGT / T2DM IGT=impaired glucose tolerance; NGT=normal glucose tolerance; T2DM=type 2 diabetes mellitus Adapted from Ahrén B, et al. Diabetes Obes Metab. 2005; 7: 2–8. 6 Traditional Current Oral Therapies Do Not Address Islet Cell Dysfunction Pancreatic Islet Dysfunction Insulin Resistance (Impaired insulin action) Inadequate glucagon suppression (-cell dysfunction) Metformin TZDs Insufficient Insulin secretion (β-cell dysfunction) Progressive decline of β-cell function Sulfonylureas Glinides TZD=thiazolidinedione; T2DM=type 2 diabetes mellitus Adapted from DeFronzo RA. Br J Diabetes Vasc Dis. 2003; 3 (Suppl 1): S24–S40. 7 Why do beta cells fail? 8 The need for new therapies! 9 10 11 In 1902, Bayliss and Starling proposed that intestinal mucosa contains a hormone that stimulates the exocrine secretion of the pancreas ("Secretin"). However, oral administration of extracts of intestinal mucosa failed to help several patients with type 1 diabetes. 12 In 1939–1940, based on their studies, Leow et al. concluded that the existence of incretins was “questionable.” No further research in this area was performed for about thirty years. 13 In 1939–1940, based on their studies, Leow et al. concluded that the existence of incretins was “questionable.” No further research in this area was performed for about thirty years. 14 In 1970, GIP was isolated and sequenced from intestinal mucosa (JC Brown). Originally named gastric inhibitory peptide, GIP was renamed glucose-dependent insulinotropic peptide in 1973 after Brown and Dupre showed that GIP stimulates insulin secretion. 15 However, initial research could not establish its utility as a treatment for diabetes. The anglerfish proglucagon peptide was sequenced in 1982 by Lund and co-workers. The human Proglucagon gene was cloned in 1983 by G. Bell, et al., and the human proglucagon sequence was subsequently deduced. 16 However, the entire GLP-1 molecule had no effect on insulin levels. It was found that only one specific sequence of GLP-1 has insulinotropic effect: GLP-1 amide. It is rapidly inactivated to GLP-1by DPP-4 with a plasma half-life of only 1–2 minutes. 17 18 Incretins 19 The two main candidate molecules that fulfill criteria for an incretin are glucagon-like peptide-1 (GLP-1) and Gastric inhibitory peptide (aka glucose-dependent insulinotropic peptide or GIP). Both GLP-1 and GIP are rapidly inactivated by the enzyme dipeptidyl peptidase-4 (DPP-4) 20 The Incretins GLP-1: Glucagon-like Peptide-1 H A E G T F T S D V S S Y L E G Q A A K A K F L R I V E W G G GIP: Glucose-dependent Insulinotropic Peptide A E G T F I S D Y S I A M D K I H Q K K G K A L L W N V F D Q D N W Q K T Q I N H Y Amino acids shown in orange are homologous with the structure of glucagon. 21 21 GLP-1 and GIP are Synthesized and Secreted from the Gut in Response to Food Intake L-cell (ileum) ProGIP Proglucagon GLP-1 [7–37] GLP-1 [7–36 NH2] GIP=glucose-dependent insulinotropic peptide; GLP-1=glucagon-like peptide-1 Adapted from Drucker DJ. Diabetes Care. 2003; 26: 2929–2940. GIP [1–42] K-cell (jejunum) 22 22 DPP-4 Enzymatic cleavage of GLP-1 by DPP-4 inactivates GLP-1 GLP-1 30 1 2 3 Des-HA-GLP-1 (inactive) 1 2 3 30 Two possible solutions to utilize GLP-1 action therapeutically: 1) Long-acting DPP-4 resistant GLP-1 analogues / incretin mimetics 2) DPP-4 inhibitors / incretin enhancers Mentlein et al. Eur J Biochem. 1993; Gallwitz et al. Eur J Biochem. 1994 23 1. Glucose-dependent stimulation of insulin secretion 2. Postprandial suppression of glucagon secretion 3. Slowing of gastric emptying 4. Decrease of appetite, increase of satiety Drucker DJ. Diabetes Care. 2003;26:2929-2940.; Perley MJ, Kipnis DM. J Clin Invest. 1967;46:1954-1962.;Nauck M, et al. Diabetologia. 1986;29:46-52. 24 Mechanisms of GLP-1 action: Role of incretins in plasma glucose regulation Meal-induced secretion of GLP-1 ↓ ß-cell stress Increased satiety Decreased appetite ↑ ß-cell response ß-cells: Stimulation of glucose dependent insulin secretion 25 α-cells: ↓ postprandial glucagon secretion Liver: ↓ glucagon decreases hepatic glucose production Stomach: slowing of gastric emptying Modified from Flint A, et al. J Clin Invest. 1998;101:515-520.; Larsson H, et al. Acta Physiol Scand. 1997;160:413-422.; Nauck MA, et al. Diabetologia. 1996;39:1546-1553.; Drucker DJ. Diabetes. 1998;47:159-169. Insulin release : It involves 3 main steps : 1. Translocation of insulin granules. 2. Docking of insulin granules. 3. Fusion of insulin granules. 26 The motive force to propel granules along the microtubules is provided by the interaction between : Filamentous actin ATP Phosphorylated myosin + Ca+ Granule transport It gives the force but not the way 27 Ca+ is essential for almost all steps involved in insulin release, thus factors increasing intracellular Ca+ will augment insulin release. Mechanisms involved in increasing intracytoplasmic Ca+ : Ca-influx from outside. Inhibition of Ca-reuptake by intracellulas stores. Ca++ Store x Increased Ca-sensitivity. 28 Increased intracellular Ca+ is essential for granules translocation and fusion hence release of insulin. ATP-sensitive K+ channel Glucose GLUT2 Voltage-gate Ca channel 6 X Fusion Glucose 2 Glucokinase K retention 4 3 Depolarization 5 1 G-6-P Ca+ ATP Translocation Each B-cell contains up to 500 Ca channels 29 The potentiating effect of GLP-1 is mediated through activation of adenyl cyclase : GLP-1 Adenyl cyclase ATP C-AMP Ca2+ uptake into stores PKA Cyclosolic Ca2+ Ca2+ sensitivity Insulin Release 30 Insulin Secretion Increases Dramatically in Response to Oral Glucose Ingestion Oral Glucose Tolerance Test 150 400 50 g glucose 300 Insulin (pmol/L) Glucose (mg/dL) 200 100 50 100 0 0 -30 0 30 60 90 120 150 180 210 Time (min) Adapted from Nauck MA, et al. J Clin Endocrinol Metab. 1986;63:492-8. 31 200 -30 0 30 60 90 120 150 180 210 Time (min) Proof of a Gastrointestinal ‘Incretin Effect’: Different Responses to Oral vs. IV Glucose 200 400 150 300 Insulin (pmol/L) Glucose (mg/dL) OGTT and Matched IV Infusion 100 50 100 0 0 -30 0 30 60 90 120 150 180 210 Time (min) Oral Adapted from Nauck MA, et al. J Clin Endocrinol Metab. 1986;63:492-8. 32 200 -30 IV 0 30 60 90 120 150 180 210 Time (min) The Role of Incretins in T2DM 33 The Incretin Effect is Impaired in T2DM Leading to Reduced Insulin Production Plasma Glucose (mg/dL) 240 180 90 0 0 C-Peptide (nmol/L) T2DM (n=8) 60 120 30 IV Glucose Oral Glucose 20 10 * * * * * * * * 0 180 90 0 0 60 120 180 0 60 120 Time (min) 180 30 20 10 0 0 60 120 Time (min) 180 *P <.05 Adapted from Nauck M, et al. Diabetologia. 1986;29:46-52. 34 (n=14) 240 180 C-Peptide (nmol/L) Plasma Glucose (mg/dL) NGT Meal 20 * * * * * * GLP-1 (pmol/l) 15 * NGT IGT 10 * T2DM 5 0 0 60 *P<0.05 T2DM vs NGT Toft-Nielsen et al. J Clin Endocrinol Metab. 2001 35 120 Time (min) 180 240 IGT=impaired glucose tolerance; NGT=normal glucose tolerance 16 Glucose (mmol/l) T2DM 12 T2DM + GLP1 8 Controls 4 Breakfast Lunch Snack 0 2200 Rachman et al. Diabetologia. 1997 36 0200 0600 1000 1400 Clock time (hours) 1600 Control + GLP-1 Day 1 Day 3 Day 5 Farilla et al. Endocrinology. 2003 37 β-Cell mass β-Cell proliferation 30 12 8 4 Proliferating β-cells (%) P<0.01 P<0.05 2.0 1.5 1.0 0.5 Control GLP-1 treated Farilla et al. Endocrinology. 2002 38 20 P<0.001 10 0 0 0 Apoptotic β-cells (%) 2.5 16 β-Cell mass (mg) β-Cell apoptosis Control GLP-1 treated Control GLP-1 treated 39 Galvus Vildagliptin 40 Galvus : A Potent and Selective DPP-4 Inhibitor H HO N O N N Highly selective DPP-4 inhibitor that acts like a substrate Has a high affinity for the human enzyme Reversible inhibition X-ray crystallographic structure of vildagliptin (green) bound to the active site (yellow) of human DPP-4 DPP-4=dipeptidyl peptidase-4 41 Galvus : what do we know so far? Chemical structures of DPP-4 inhibitors Competitive inhibitors F Noncovalent F Substrates acting as inhibitors NH2 O N N F N N CF3 Sitagliptin1 O H3 C Noncovalent O N CN Covalent (cyanopyrr olidine) N NC N O HHO Vildagliptin N N NH 3+ PhCO 2- Alogliptin3 1Januvia Prescribing Information. http://www.merck.com/product/usa/pi_circulars/j/januvia/januvia_pi.pdf. Accessed January 2010. BF, et al. Poster 0788 presented at EASD 2006. 3Neumiller JJ. J Am Pharm Assoc. 2009; 49: S16–S29. 4Onglyza Prescribing Information. http://packageinserts.bms.com/pi/pi_onglyza.pdf. Accessed January 2010. Ahren B et al, Diab Obes Metab 2011 "Accepted Article"; doi: 10.1111/j.1463-1326.2010.01321.x 2Burkey Vildagliptin: Pharmacokinetics Rapid absorption after oral administration (tmax 0.5–1.5 hours)1 Dose-dependent, highly selective, rapid, and reversible DPP-4 inhibition1 Bioavailability >80%, no food effect2 Very low protein binding (9%) Metabolism2,3 – hydrolysis – major metabolite is pharmacologically inactive – does not inhibit / induce or utilize P450 (CYP) Excretion:85% excreted in urine (mostly as inactive metabolite), 15% in feces3 No drug-drug interaction with commonly prescribed agents4-7 DPP-4=dipeptidyl peptidase-4; tmax=time of maximum concentration. 1He Y-L, et al. J Clin Pharmacol. 2007; 47: 633–641; 2Ristic S, Bates PC. Drugs Today (Barc). 2006; 42: 519–531; 3Henness S, Keam SJ. Drugs. 2006; 66: 1989–2001; 4He Y-L, et al. J Clin Pharmacol. 2008; 48: 89–95; 5He Y-L, et al. J Clin Pharmacol. 2007; 47: 998–1004; 6He Y-L, et al. Curr Med Res Opin. 2007; 23: 1131–1138; 7Ayalasomayajula SP, et al. Curr Med Res Opin. 2007; 23: 2913–2920. Galvus Enhances GLP-1 Levels in Patients with T2DM Meal Active GLP-1 (pmol/L) 16.0 Placebo (n=16) * Vildagliptin 100 mg (n=16) * * 12.0 * * * * * ** 8.0 * * * 4.0 0.0 17:00 20:00 GLP-1=glucagon-like peptide-1 *P <0.05 Balas B, et al. J Clin Endocrinol Metab. 2007; Epub ahead of print. 23:00 02:00 Time 05:00 08:00 Galvus: Enhances Insulin Sensitivity Duration: 6 weeks Vildagliptin vs placebo Hyperinsulinemic Euglycemic Clamp 7.0 Glucose Rd (mg/kg/min) 6.0 5.0 4.0 3.0 2.0 1.0 0.0 Rd=rate of disappearance *P <0.05 Azuma K, et al. Diabetes. 2007 (submitted). * 6.1 Vildagliptin 100 mg daily (n=8) 5.4 Placebo (n=8) Galvus : Suppresses Glucagon Secretion 20 Meal Placebo (n=16) Delta Glucagon (ng/L) 10 Vildagliptin 100 mg (n=16) 0 −10 −20 * −30 * −40 −50 * * * −60 17:00 * * * 20:00 23:00 *P <0.05 vs placebo Balas B, et al. J Clin Endocrinol Metab. 2007; Epub ahead of print. 02:00 Time * 05:00 08:00 Galvus Comprehensive Clinical Development Program Initial combo SU add-on with TZD Insulin add-on TZD add-on Metformin add-on vs SU Initial combo with metformin Metformin add-on vs TZD Metformin add-on vs placebo OAD combo Prediabetes Diet and exercise Insulin mono OAD mono In IFG Insulin combo Mono vs placebo Mono head to head vs metformin Mono head to head vs acarbose In IGT 22,000 patients enrolled in completed clinical trails on Galvus. 60,000 patients (ongoing trails) Mono head to head vs rosiglitazone IFG=impaired fasting glucose; IGT=impaired glucose tolerance; 47 OAD=oral antidiabetic drug; SU=sulfonylurea; TZD=thiazolidinedione Galvus as Monotherapy 48 Vildagliptin Dose-ranging Study: Design and Objective Design: a 24-week, double-blind, randomized, placebo-controlled, parallel-group study Objective: to demonstrate superior HbA1c reduction of vildagliptin versus placebo Target population: drug-naïve patients with T2DM; HbA1c 7.5–10% n=88: Vildagliptin 50 mg once daily n=83: Vildagliptin 50 mg twice daily N=354 n=91: Vildagliptin 100 mg once daily Drug-naïve n=92: Placebo 2 weeks HbA1c=hemoglobin A1c; T2DM=type 2 diabetes mellitus Pi-Sunyer FX, et al. Diabetes Res Clin Pract 2007; 76: 132-138. 24 weeks 49 Vildagliptin Monotherapy: Reductions in HbA1c over 24 Weeks Mean HbA1c (%) 9.0 Vilda 50 mg once daily (n=84) Vilda 50 mg twice daily (n=79) Vilda 100 mg once daily (n=89) PBO (n=88) 8.6 8.2 7.8 * ** ** 7.4 7.0 -4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24 Time (weeks) HbA1c=hemoglobin A1c; PBO=placebo; vilda=vildagliptin Primary intention-to-treat population. *P=0.01; **P <0.001 vs placebo. Pi-Sunyer F, et al. Diabetes Res Clin Pract 2007; 76: 132-138. 50 Galvus as an Add-on to Metformin 51 Vildagliptin Add-on to Metformin: Study Design and Objective Objective: to demonstrate superior HbA1c reduction with vildagliptin + metformin vs metformin monotherapy Target population: T2DM on maximal dose of metformin; HbA1c 7.5–11% n=143: Vildagliptin 50 mg once daily + metformin N=416* Metformin >1500 mg (monotherapy, stable dose) n=143: Vildagliptin 50 mg twice daily + metformin n=130: Placebo + metformin 4 weeks HbA1c=hemoglobin A1c; T2DM=type 2 diabetes mellitus. *Patient number refers to primary intention-to-treat population. Bosi E, et al. Diabetes Care. 2007; 30: 890–895. 24 weeks 52 Vildagliptin Add-on to Metformin: Effective HbA1c Reduction at 24 Weeks Duration: 24 weeks Vilda add-on to met Add-on Treatment to Metformin (2.1 g Mean Daily) Change in HbA1c (%) Mean Difference vs PBO BL ~8.4% BL=baseline; HbA1c=hemoglobin A1c; met=metformin; PBO=placebo; vilda=vildagliptin. Primary intention-to-treat population. *P <0.001 difference vs PBO. Bosi E, et al. Diabetes Care. 2007; 30: 890–895. -0.7 * * Vilda 50 mg once daily + met (n=143) Vilda 50 mg twice daily + met (n=143) 53 Vildagliptin Add-on to Metformin: Effect on Blood Pressure in Hypertensive Patients (SBP >140 mmHg and DBP >90 mmHg) Duration: 24 weeks Vilda add-on to met Add-on Treatment to Metformin (2.1 g Mean Daily) DBP Change from BL (mmHg) n= 57 SBP 59 57 59 * * Vilda 50 mg twice daily + met PBO + met * BL=baseline; DBP=diastolic blood pressure; met=metformin; PBO=placebo; SBP=systolic blood pressure; vilda=vildagliptin. *P <0.05 vs BL. Bosi E, et al. Presented at ADA Annual Meeting; June 22–26, 2007; Chicago, IL. 2165-PO. 54 Vildagliptin Add-on to Metformin: Significantly Lowers HbA1c over 52 Weeks Duration: 52 weeks Vilda add-on to met Vilda 50 mg daily + met (extension, ITT n=42) PBO + met (extension, ITT n=29) Vilda 50 mg daily + met (core, ITT n=56) 8.4 PBO + met (core, ITT n=51) HbA1c (%) 8.0 P <0.0001 –1.1 ± 0.2% 7.6 P <0.0001 7.2 6.8 −4 0 4 8 12 16 20 24 28 32 36 40 44 48 52 Week n refers to ITT population. HbA1c=hemoglobin A1c; ITT=intention-to-treat; met=metformin; PBO=placebo; vilda=vildagliptin. Adapted from Ahrén B, et al. Diabetes Care. 2004; 27: 2874–2880. 55 Head-to-head Study: Vildagliptin vs glimepiride in Add-on to Metformin – results from a 2-year study Study purpose: To show that vildagliptin added to metformin is non-inferior to glimepiride in reducing HbA1c levels from baseline over 2 years inT2DM inadequately controlled with metformin monotherapy in a randomized, double-blind, multicenter study Interim analysis: to demonstrate non-inferiority of vildagliptin vs glimepiride at 2 year Target population: patients with T2DM inadequately controlled on a stable metformin monotherapy (metformin minimum dose 1500 mg/day; baseline HbA1c 6.5–8.5%) n=1562: Vildagliptin 50 mg twice daily + metformin N=3118 Metformin n=1566: Glimepiride up to 6 mg once daily + metformin 2-year interim analysis 4 weeks *. Diabetes, Obesity and Metabolism 12: 780–789, 2010. Volume 12 No. 9 September 2010 104weeks 56 Vildagliptin produced similar glucose control Compared with Glimepiride Add-on to Metformin – results from a 2-year study Mean change in HbA1c (%) (BL ~7.3%) Both treatments showed similar efficacy in HbA1c reduction from baseline to week 104. *. Diabetes, Obesity and Metabolism 12: 780–789, 2010. Volume 12 No. 9 September 2010 57 Vildagliptin Vs Glimepiride: Hypoglycemic Events in Add-on to Metformin Treatment Duration: 104weeks Add-on to met: vilda vs glim n= Patients with >1 Hypos (%) 1562 1566 *. Diabetes, Obesity and Metabolism 12: 780–789, 2010. Volume 12 No. 9 September 2010 Number of Hypoglycemic Events 1562 Study discontinuation 1566 1562 1566 Vildagliptin 50 mg twice daily + metformin Glimepiride up to 6 mg once daily + metformin (p < 0.001). 58 Changes in body weight •Mean change inbody weight (kg) (p < 0.001). Body weight decreased slightly with Vildagliptin −0.3 kg. With a modest effect in lipid parameters. *. Diabetes, Obesity and Metabolism 12: 780–789, 2010. Volume 12 No. 9 September 2010 59 Galvus Is a Unique Molecule 60 Compared to other DPP-4 inhibitors, Galvus offered The greatest reduction in HbA1c1 Meta-analysis summarizing the current evidence on therapies affecting the GLP-1 pathway including 63 randomized controlled clinical trials from 12 to 52 weeks duration, with the primary endpoint of change from baseline HbA1c, published between January 1 1990 and 31 December 2009. References: 1. Aorda V. et al. Meta-Analysis of the efficacy of GLP-1R Agonists and DPP-4 inhibitors for treatment of Type 2 Diabetes Mellitus. European Association for the Study of Diabetes 48th Annual Meeting. Stockholm, Sweden, September 10-24, 2010. 61 Compared to other DPP-4 inhibitors, Galvus offered The greatest reduction in fasting glucose1 Meta-analysis summarizing the current evidence on therapies affecting the GLP-1 pathway including 63 randomized controlled clinical trial from 12 to 52 weeks duration, with the primary endpoint of change from baseline HbA1c, published between January 1 1990 and 31 December 2009. References: 1. Aorda V. et al. Meta-Analysis of the efficacy of GLP-1R Agonists and DPP-4 inhibitors for treatment of Type 2 Diabetes Mellitus. European Association for the Study of Diabetes 48th Annual Meeting. Stockholm, Sweden, September 10-24, 2010. 62 63 Study Objective: To evaluate the efficacy of sitagliptin vs. vildagliptin 50 mg twice daily on daily blood glucose fluctuations in patients with type 2 diabetes that was inadequately controlled by metformin. R. Marfella et al. / Journal of Diabetes and Its Complications 21 Jan (2009) 64 Procedure: • Forty-eight-hour continuous subcutaneous glucose monitoring (CSGM) was performed in patients treated with metformin plus vildagliptin (n=18) or sitagliptin (n=20) over a period of 3 months. • The mean amplitude of glycemic excursions (MAGE) was used for assessing glucose fluctuations during the day. • During a standardized meal, glucagon-like peptide-1 (GLP1), glucagon, and insulin were measured. R. Marfella et al. / Journal of Diabetes and Its Complications 21 Jan (2009) 65 Comparison of plasma GLP-1 levels following 3 Months’ treatment with vildagliptin or sitagliptin Retrospective analysis of patients on sitagliptin (N=20) or vildagliptin (N=18) Vildagliptin 50 mg twice daily + metformin (N=18) Sitagliptin 100 mg once daily + metformin 30 Intact GLP-1 (pmol/L) (N=20) 25 20 15 10 5 0 -20 0 15 30 60 90 120 180 Breakfast 240 300 0 15 30 60 90 120 Lunch 180 240 300 0 15 30 60 90 120 180 240 300 min Dinner GLP-1=glucagon-like peptide-1. *P <0.05 vs vildagliptin group, Plasma levels during 24-h sampling comprising three standardized meals after 3 months of treatment in type 2 diabetic patients. Marfella R, et al. J Diabetes Complications. 24: 79-83, 2010.. 66 Comparison of plasma glucagon levels following 3 Months’ treatment with vildagliptin or sitagliptin Retrospective analysis of patients on sitagliptin (N=20) or vildagliptin (N=18) Vildagliptin 50 mg twice daily + metformin (N=18) Plasma Glucagon (mg/dL) 90 Sitagliptin 100 mg once daily + metformin (N=20) 80 70 60 50 40 30 20 -20 0 15 30 60 90 120 180 Breakfast 240 300 0 15 30 60 90 120 180 Lunch *P <0.05 vs vildagliptin group; Plasma levels during 24-h sampling comprising three standardized meals after 3 months of treatment in type 2 diabetic patients. Marfella R, et al. J Diabetes Complications. 24: 79-83, 2009. 240 300 0 15 30 60 90 120 180 240 300 min Dinner 67 Results over a 3-month study period; nevertheless, the effects on glucose fluctuations over a day, as estimated from MAGE: indexes that: reflect that the reduction in daily execration of blood glucose level was more pronounced in the Galvus than in the sitagliptin group • This result from a significantly better daily GLP-1 inhibition profile for Galvus, which could be responsible for a MAGE within a shorter range. R. Marfella et al. / Journal of Diabetes and Its Complications 21 Jan (2009) 68 Conclusion This may be a potential mechanism for the different effects on glucose fluctuations over a daily period observed in bid Galvustreated diabetic patients. Since glucose variations over time, linked to daily fluctuations of glucose, are associated with an activation of oxidative stress, the main mechanisms that lead to chronic diabetic complications. The present data suggest that the DPP-4 inhibition therapy should target: not only reducing HbA1c, PPG, and mean hyperglycemia but also flattening acute glucose fluctuations over a daily period R. Marfella et al. / Journal of Diabetes and Its Complications 21 Jan (2009) 69 SUMMARY Galvus is a Potent and highly Selective DPP-4 Inhibitor. Galvus is effective across all hyperglycemia spectrum. Galvus monotherapy reduce HbA1c over 24 Weeks 1.1% as a result of reduction of FPG Galvus Effective up to 2 years in controlled monotherapy studies. 70 SUMMARY • Galvus added to Metformin is as effective as Glimepiride in reducing HbA1c levels from baseline over 2 years • Galvus has a dual benefits of reduced hypoglycaemia risk, without weight gain. • Galvus reduces prandial glucagon levels, and increase insulin secretion • Galvus had improved β-cell function and insulin resistance. Ahren B, Foley JE, Ferrannini E et al Diabetes, Obesity and Metabolism 12: 780–789, 2010. Volume 12 No. 9 September 2010 71 Thanks Backup slides Safety Profile of Vildagliptin Large Database Allows for Robust Safety Assessments Highest exposure on vildagliptin 50 mg twice daily Vildagliptin 50 mg qd Total PBO Total comp 50 mg bid All-study safety (excluding open-label) population Patients (N) 2049 6116 1470 6210 Mean duration (weeks) 31.9 62.4 26.0 54.7 Exposure (SYE) 1254 7314 734 6513 All-study safety (including open-label) population Patients (N) 2206 6159 1470 7082 Mean duration (weeks) 32.8 62.3 26.0 49.4 Exposure (SYE) 1385 7351 734 6705 bid=twice daily; comp=all comparators; PBO=placebo; qd=once daily; SYE=subject-year exposure. Data on file, Novartis Pharmaceuticals. Incidence of Reported Common AEs (>5%) in any Pooled Group by Preferred Term Vildagliptin Preferred term 50 mg qd 50 mg bid Total PBO Total comp 2049 6116 1470 6210 1253 (61.2) 4225 (69.1) 923 (62.8) 4288 (69.0) Nasopharyngitis 6.6 9.4 7.3 8.5 Headache 5.0 7.0 3.6 6.0 Dizziness 4.9 6.4 4.8 7.4 Back pain 4.0 5.8 2.7 5.2 Upper respiratory tract infection 4.1 5.2 4.4 4.1 Diarrhea 2.4 5.6 3.3 6.7 Hypertension 2.7 4.9 2.2 5.1 Tremor 3.5 3.0 4.2 7.6 Hyperhidrosis 2.7 2.8 3.5 6.8 Hypoglycemia 2.0 1.7 3.5 5.8 N Any AE, n (%) AEs=adverse events; bid=twice daily; comp=all comparators; PBO=placebo; qd=once daily. All-study safety (excluding open-label) population. Data on file, Novartis Pharmaceuticals. Low Risk of Hypoglycemic Events in Add-on to Metformin Vildagliptin 50 mg qd + met Hypoglycemia Incidence in Add-on Metformin Vildagliptin 50 mg bid + met Placebo + met Glimepiride + met 14 Pioglitazone* + met Incidence (%) 12 9.2 10 8 6 4 2 0.6 0.8 2 340 23 3021 0.3 0 0 n= N= 1 354 bid=twice daily; glim=glimepiride; met=metformin; pio=pioglitazone; qd=once daily. Up to 24-week add-on to metformin population. *Pioglitazone 30 mg once daily. Data on file, Novartis Pharmaceuticals. 189 2045 0 280 No Increased Risk for Adjudicated CV Events, Relative to All Comparators* Incidences and Odds Ratios for Adjudicated CV Events by Treatment Risk Ratio Vildagliptin n / N (%) Reference n / N (%) M-H RR (95% CI) Vilda 50 mg qd# 10 / 1393 (0.72) 14 / 1555 (0.90) 0.88 (0.37–2.11) Vilda 50 mg bid# 81 / 6116 (1.32) 80 / 4872 (1.64) 0.84 (0.62–1.14) 0.1 1 Vildagliptin better 10 Vildagliptin worse #Meta-analysis of vildagliptin 50 mg bid data vs all comparators according to the methodology set by the US Food and Drug Administration‡ [50 mg bid odds ratio = 0.84 (95% CI 0.62–1.14)]. AEs=adverse events; bid=twice daily; CI=confidence interval; CV=cardiovascular; M-H RR=Mantel-Haenszel risk ratio; qd=once daily; vilda=vildagliptin. #Vs comparators (all non-vildagliptin treatment groups). All-study safety population. ‡Guidance for Industry: Diabetes Mellitus - Evaluating Cardiovascular Risk in New Antidiabetic Therapies to Treat Type 2 Diabetes, U.S. Department of Health and Human Services Food and Drug Administration Center for Drug Evaluation and Research (CDER), December 2008. Schweizer A, et al. DOM 2010 in press. Vildagliptin Not Associated with Increased Risk for Infections Odds Ratio Vildagliptin All comparators Peto odds ratio n / N (%) n / N (%) (95% CI) Infections / infestations Vilda 50 mg qd* 356 / 1502 (23.07) 432 / 1662 (26.0) 0.88 (0.75–1.04) Vilda 50 mg bid* 2099 / 6116 (34.3) 1697 / 4872 (34.8) 1.04 (0.96–1.13) 0.1 1 Vildagliptin better 10 Vildagliptin worse bid=twice daily; CI=confidence interval; qd=once daily; vilda=vildagliptin. *Vs comparators (all non-vildagliptin treatment groups). All-study safety (excluding open-label) population. Ligueros-Saylan M, et al. DOM 2010 in press 79 No Increased Risk for Pancreatitis-related AEs Odds Ratio Vildagliptin All comparators Peto odds ratio n / N (%) n / N (%) (95% CI) Pancreatitis events Vilda 50 mg qd* 2 / 1502 (0.13) 4 / 1662 (0.24) 0.76 (0.15–3.89) Vilda 50 mg bid* 7 / 6116 (0.11) 9 / 4872 (0.18) 0.70 (0.26–1.88) 0.01 0.1 1 Vildagliptin better 10 100 Vildagliptin worse AEs=adverse events; bid=twice daily; CI=confidence interval; qd=once daily; vilda=vildagliptin. *Vs comparators (all non-vildagliptin treatment groups). All-study safety (excluding open-label) population. Ligueros-Saylan M, et al. DOM 2010 in press 80 No Increased Risk for Hepatic AEs and SAEs vs Comparators Vildagliptin Reference Peto odds ratio n / N (%) n / N (%) (95% CI) Odds Ratio Hepatic AEs Vilda 50 mg qd* 15 / 1502 (1.00) 14 / 1662 (0.84) 1.29 (0.61–2.70) Vilda 50 mg bid* 83 / 6116 (1.36) 84 / 4872 (1.72) 0.87 (0.64–1.19) Hepatic SAEs Vilda 50 mg qd* 2 / 1502 (0.13) 2 / 1662 (0.12) 1.08 (0.15–7.76) Vilda 50 mg bid* 6 / 6116 (0.10) 5 / 4872 (0.10) 1.13 (0.35–3.67) 0.01 0.1 1 10 100 AEs=adverse events; bid=twice daily; CI=confidence interval; qd=once daily; SAEs=serious adverse events; vilda=vildagliptin. *Vs comparators Vildagliptin better Vildagliptin worse (all non-vildagliptin treatment groups). All-study safety (excluding open-label) population. According to the Prescribing information, vildagliptin should not be used in patients with hepatic impairment, including patients with pre-treatment alanine aminotransferase (ALT) or aspartate aminotransferase (AST) >3x the upper limit of normal (ULN). Liver function tests should be performed prior to the initiation of treatment with vildagliptin in order to know the patient’s baseline value. Liver function should be monitored during treatment with vildagliptin at 3-month intervals during the first year and periodically thereafter. Ligueros-Saylan M, et al. DOM 2010 in press 81 DPP-8/-9 Selectivity and Galvus Vildagliptin is Not Associated with Previously Reported Toxicities in Rodents • In a 13-week, preclinical study vildagliptin plasma levels were high enough to inhibit DPP-8 and -9 Burkey et al 2008 Vildagliptin dose: Mice: up to 1500 mg/kg/day Rats: up to 900 mg/kg/day • Previously DPP-8 and -9 inhibition had been associated with toxicity in rats and mice Lankas et al 2005 Lankas et al 2005 Selective Dual DPP-8/-9 Inhibitor Burkey et al 2008 Vildagliptin 2-week toxicity* findings in rats and mice 13-week toxicity*** findings in rats and mice In rats: In mice: Alopecia Thrombocytopenia Reticulocytopenia Enlarged spleen Mortality NO toxicities described by Lankas et al observed with vildagliptin Mortality** Even at very high doses of vildagliptin (that exceed concentrations needed to inhibit DPP-8/-9), the toxicities ascribed to selective DPP-8/-9 inhibition were NOT observed *Toxicities in rats at 10–100 mg/kg/day; **Mortality in mice observed at 100 mg/kg/day (incidence 1/12) and at 300 mg/kg/day (100% incidence, 24/24); ***Doses of vildagliptin used: up to 900 mg/kg/day in rats and 1500 mg/kg/day in mice. Burkey BF, et al. Diabetes Obes Metab. 2008; 10: 1057–1061. Lankas GR, et al. Diabetes. 2005. 54: 2988–2994. Incidence of Drug Discontinuation in Mild Renal Impairment is Lower in Vildagliptin- vs Comparator-treated Patients Normal Renal Function Mild Renal Impairment Vildagliptin 50 mg qd Vildagliptin 50 mg bid 7.6 Total comparators 6.5 5.9 Total placebo 5.7 5.0 4.0 3.6 Incidence (%) 2.9 Events= N= 54 1338 212 4232 33 927 248 4217 38 665 118 1802 15 511 145 1918 bid=twice daily; qd=once daily. Number of patients with severe renal impairment was too small to be equally represented on this graph. All-study safety (excluding open-label) population. Data on file, Novartis Pharmaceuticals. Drucker DJ, et al. Diabetes Care. 2003;26:2929-2940 84 GLP-1 secretion is impaired in Type 2 diabetes Natural GLP-1 has extremely short half-life GLP-1 analogues e.g.: • Exenatide (Byetta®) • Liraglutide (Victoza®) Injectables Drucker. Curr Pharm Des. 2001; Drucker. Mol Endocrinol. 2003 85 DPP- 4 inhibitors e.g.: • • Sitagliptin (Januvia®) Vildagliptin (Galvus®) Oral agents 86 Sitagliptin - Januvia® (MSD) Vildagliptin - Galvus ® (Novartis) Saxagliptin - Onglyza® (BMS/AZ) 87 Alogliptin (Takeda/OSI) Carmegliptin (Roche) Linagliptin (BI) Gosagliptin (Pfizer) Dutogliptin (Phenomix/Forest) Melogliptin (Glenmark) AMG-222 (Amgen/Servier/ Alantos) LC15-0444 (LG Life Sciences) ABT-279 (Abbott) Opportunities in the DPP-4 class exist in the following areas Side Effects: well-tolerated, no weight gain Safety: low risk of hypoglycaemia DPP-4 inhibitors Sitagliptin Vildagliptin Saxagliptin 88 Combination therapy Metformin / DPP-4 Inhibitors: Addressing the 3 Core Defects of Type 2 Diabetes DPP-4 inhibitors improve markers of β-cell function and increases insulin synthesis and release β-Cell Dysfunction Insulin Resistance Metformin acts as an insulin sensitiser (liver>muscle/fat) DPP-4 inhibitors indirectly reduces HGO through suppression of glucagon from α cells Metformin significantly decreases HGO by directly targeting the liver to decrease gluconeogenesis and glycogenolysis Hepatic Glucose Overproduction HGO=hepatic glucose overproduction. 89 P et al. Diabetes Care. 2006;29:2632–2637; Abbasi F et al. Diabetes Care. 1998;21:1301–1305; Inzucchi SE. JAMA 2002;287:360–372; Aschner Kirpichnikov D et al. Ann Intern Med. 2002;137:25–33; Zhou G et al. J Clin Invest. 2001;108:1167–1174. Vildagliptin: A Potent and Selective DPP-4 Inhibitor H HO N O N N Highly selective DPP-4 inhibitor that acts like a substrate Has a high affinity for the human enzyme Reversible inhibition X-ray crystallographic structure of vildagliptin (green) bound to the active site (yellow) of human DPP-4 DPP-4=dipeptidyl peptidase-4 90 Vildagliptin Enhances Islet Cell Function by Increasing Insulin and Decreasing Glucagon Secretion OGTT 30 Min after Single Oral Dose of Vildagliptin (100 mg) 75 g Glucose 120 Insulin (pmol/L) Placebo (n=16) Vildagliptin 100 mg (n=15) 100 Dose 80 60 40 20 0 −90 −60 −30 0 30 60 90 120 150 180 210 240 270 300 −90 −60 −30 0 30 60 90 120 150 180 210 240 270 300 −90 −60 −30 0 30 60 90 120 150 180 210 240 270 300 22.5 Glucose (mmol/L) 17.5 12.5 7.5 140 Glucagon (ng/L) 120 100 80 60 OGTT=oral glucose tolerance test *P <0.01. He YL, et al. In press. Time 91 Vildagliptin Enhances GLP-1 Levels in Patients with T2DM Meal Active GLP-1 (pmol/L) 16.0 Placebo (n=16) * Vildagliptin 100 mg (n=16) * * 12.0 * * * * * ** 8.0 * * * 4.0 0.0 17:00 20:00 GLP-1=glucagon-like peptide-1 *P <0.05 Balas B, et al. J Clin Endocrinol Metab. 2007; Epub ahead of print. 23:00 02:00 05:00 08:00 Time 92 Vildagliptin Suppresses Glucagon Secretion 20 Meal Placebo (n=16) Delta Glucagon (ng/L) 10 Vildagliptin 100 mg (n=16) 0 −10 −20 * −30 * −40 −50 * * * −60 17:00 * * * 20:00 23:00 *P <0.05 vs placebo Balas B, et al. J Clin Endocrinol Metab. 2007; Epub ahead of print. 02:00 * 05:00 08:00 Time 93 Vildagliptin: Enhances Insulin Sensitivity Duration: 6 weeks Vildagliptin vs placebo Hyperinsulinemic Euglycemic Clamp 7.0 Glucose Rd (mg/kg/min) 6.0 * 6.1 Vildagliptin 100 mg daily (n=8) 5.4 Placebo (n=8) 5.0 4.0 3.0 2.0 1.0 0.0 Rd=rate of disappearance *P <0.05 Azuma K, et al. Diabetes. 2007 (submitted). 94 GLP-1 Restores Insulin and Glucagon Responses in a Glucose-Sensitive Manner in Patients with T2DM N=10 Glucose (mg/dL) C-Peptide (nmol/L) 300 30 3.0 GLP-1 infusion GLP-1 infusion 250 2.5 200 2.0 150 1.5 GLP-1 infusion 25 * * * * 20 * * 15 * * * * 100 Glucagon (pmol/L) 10 1.0 * * * 0 –30 0 * * 50 * 5 0.5 * * * 30 60 90 120 150 180 210 240 0.0 –30 0 30 60 90 120 150 180 210 240 Time (Min) GLP-1=glucagon-like peptide-1; T2DM=type 2 diabetes mellitus *P <0.05 †GLP-1(7–36 amide) infused at 1.2 pmol/kg/min for 240 minutes. Adapted from Nauck MA, et al. Diabetologia. 1993; 36: 741–744. 0 –30 0 30 60 90 120 150 180 210 240 Time (Min) Time (Min) GLP-1† Placebo 95 Synergy between Vildagliptin and Metformin on Prandial GLP-1 Vildagliptin increases active GLP-1 levels by 2–4x through inhibition of the DPP-4 enzyme1-4 Metformin raises GLP-1 levels, presumably through increasing GLP-1 synthesis and not through DPP-4 inhibition5-7 Vildagliptin and metformin are known to have synergy to maximise levels of intact GLP-18,9 30 Active GLP-1 AUC0-2hr (pmol/L) Effect of vildagliptin on prandial active GLP-1 levels in drug-naïve versus metformin-treated patients * 25 20 15 10 5 0 Vildagliptin in drug-naïve patients (n=5) Vildagliptin in patients on metformin (n=12) *P <0.05. 1Ahrén B, et al. J Clin Endocrinol Metab. 2004; 89: 2078–2084; 2Balas B, et al. J Clin Endocrinol Metab. 2007; 92: 1249–1255; 3Matikainen N, et al. Diabetologia. 2006; 49: 2049–2057; 4Rosenstock J, et al. Diabetes Care. 2008; 31: 30–35; 5Yasuda N, et al. Biochem Biophys Ref Commun. 2002; 298: 779–784; 6Hinke S, et al. Biochem Biophys Ref Commun. 2002; 291: 1302–1308; 7Migoya E, et al. Presented at EASD 2007; abstract 0111; 8Dunning B, et al. Presented at EASD 2006; abstract 0174; 9D’Alessio DA, et al. J Clin Endocrinol Metab. 2008; Epub ahead of print. 96 Synergy between Vildagliptin and Metformin on Fasting GLP-1 Fasting levels of intact GLP-1 in vildagliptin subgroups at 3 months Fasting levels of intact GLP-1 at baseline and at 3 months Vilda group 20 20 19 Vilda only 19 7 14 14 12 12 10 Intact GLP-1 (pM) Intact GLP-1 (pM) n= Placebo * 8 6 4 6 4 0 0 BL ** 8 2 3 months 13 10 2 BL Vilda + met 3 months *P <0.05 vildagliptin 3 months vs baseline; **P <0.05 vildagliptin add-on metformin significantly improved at 3 months vs baseline. BL=baseline; GLP-1=glucagon-like peptide-1; met=metformin; PBO=placebo; vilda=vildagliptin D’Alessio DA, et al. J Clin Endocrinol Metab. 2008; Epub ahead of print. 97 Vildagliptin Monotherapy: Reductions in HbA1c over 24 Weeks Mean HbA1c (%) 9.0 Vilda 50 mg once daily (n=84) Vilda 50 mg twice daily (n=79) Vilda 100 mg once daily (n=89) PBO (n=88) 8.6 8.2 7.8 * ** ** 7.4 7.0 -4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24 Time (weeks) HbA1c=hemoglobin A1c; PBO=placebo; vilda=vildagliptin Primary intention-to-treat population. *P=0.01; **P <0.001 vs placebo. Pi-Sunyer F, et al. Diabetes Res Clin Pract 2007; 76: 132-138. 98 Vildagliptin: Effective FPG Reduction Duration: 24 weeks Change in FPG from BL vs placebo Mean BL ~10.5 mmol/L 0.4 Change in FPG 0.0 -0.4 -0.8 -0.6 -1.2 -1.3 -1.6 BL=baseline; FPG=fasting plasma glucose; vilda=vildagliptin Primary intention-to-treat population. *P <0.001 vs placebo. Pi-Sunyer F, et al. Diabetes Res Clin Pract 2007; 76: 132-138. * -1.3 * Vilda 50 mg once daily (n=84) Vilda 50 mg twice daily (n=79) Vilda 100 mg once daily (n=89) 99 Vildagliptin: No Weight Gain Overall Duration: 52 weeks Vilda vs met 100 Mean body weight (kg) Vilda 50 mg twice daily (n=511) Met 1000 mg twice daily (n=249) 95 90 85 80 −4 0 4 8 12 16 20 24 28 32 36 40 44 48 52 Time (weeks) Met=metformin; vilda=vildagliptin. Intention-to-treat population. Schweizer A, et al. Diabet Med 2007; 24: 955-961. 100 Vildagliptin Clinical Highlights (1) By inhibiting the enzyme DPP-4, Vildagliptin has been shown to enhance the physiological effects of incretin hormones such as GLP-1 and GIP, thereby increasing alpha and beta cell responsiveness to glucose By enhancing the effects of GLP-1 and GIP, Vildagliptin has shown Equivalent efficacy as a TZD in head-to-head trial in monotherapy following 24 weeks of treatment, with up to 1.9% HbA1c reductions in high baseline patients (efficacy was inferior to rosiglitazone following 104 weeks treatment) Powerful additional HbA1c reductions of 1.1% vs metformin alone when given to patients inadequately treated with full-dose metformin (mean dose 2.1g) No weight gain as monotherapy; up to 2.8kg relative weight difference vs TZDs in obese patients (following 24 weeks of treatment) Neutral to favorable lipid profile Modest, but consistent blood pressure lowering effect Effective up to 2 years in controlled monotherapy studies DPP-4 = dipeptidyl peptidase-4; GLP-1 = glucagon-like peptide; GIP = glucose-dependent insulinotropic peptide 101 Vildagliptin Clinical Highlights (2) Vildagliptin has shown good tolerability profile • Very low incidence of hypoglycaemia and edema in monotherapy studies, comparable to placebo • Superior GI tolerability vs. metformin Vildagliptin is convenient to use • No dose titration • No dose adjustment in mild renal impairment (BPI) • No dose adjustment required by age, gender, body mass index, or ethnicity • Should not be used in patients with hepatic impairment or elevated liver enzymes (>2.5 times upper limit of normal) (BPI) BPI= Basic Prescribing Information (Novartis Core Data Sheet) 102 103 • Exenatide (Byetta®) Lilly/Amylin • Liraglutide (Victoza®) Novo Nordisk • Exen LAR (Byetta® LAR) Lilly/Amylin • Taspoglutide® Roche/Ipsen • Lixisenatide sanofi aventis • Syncria® (albiglutide) GSK/HGS • Other (GLP-1 intranasal & oral) 104 105 106 107 What do we know, don’t know and need to know? • What we don’t know ─ What is the optimal drug after metformin? ─ What is the optimal combination of insulin and/or oral drugs on glycemic durability and clinical outcomes? ─ What are the confounding effects of risk factors and comorbidites on the impact of these treatments on clinical outcomes? • What do we need to know ─ Better phenotyping and more evidence to support various treatment guidelines 108 What do we know, don’t know and need to know? What do we know • Beta cell insufficiency and progressive beta cell failure are hallmarks of T2D Insulin and oral blood glucose lowering drugs are efficacious Improving glycemic control early improves clinical outcomes in the long term Restoring euglycemia and providing ‘beta cell rest’ may improve beta cell function in patients with short duration of disease Short term study suggests superior effect of insulin over SU in preserving beta cell function Benefits of blood glucose lowering with insulin need to be balanced against risk of hypoglycemia and weight 109 gain – – – – – – 110