of new diabetes drugs? Filip Krag Knop, MD Copenhagen, Denmark - - PowerPoint PPT Presentation

of new diabetes drugs
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of new diabetes drugs? Filip Krag Knop, MD Copenhagen, Denmark - - PowerPoint PPT Presentation

Session: Game changing clinical trials in T2DM & CVD: Novel insights & implications Translating mechanisms to benefits: How can we explain the cardiovascular benefits of new diabetes drugs? Filip Krag Knop, MD Copenhagen, Denmark


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SLIDE 1

Translating mechanisms to benefits: How can we explain the cardiovascular benefits

  • f new diabetes drugs?

Filip Krag Knop, MD

Copenhagen, Denmark

Session: Game changing clinical trials in T2DM & CVD: Novel insights & implications

Cardio Diabetes Master Class

February 22-23, 2019 - Barcelona, Spain

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SLIDE 2

Translating mechanisms to benefits: How can we explain the cardiovascular benefits of new diabetes drugs?

Filip K. Knop, MD PhD

Professor, Consultant Endocrinologist, Head of Clinical Metabolic Physiology Steno Diabetes Center Copenhagen, Gentofte Hospital University of Copenhagen Copenhagen, Denmark

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SLIDE 3
  • Filip K. Knop has served on scientific advisory panels and/or been part of

speaker’s bureaus for, served as a consultant to and/or received research support from:

Disclosures

  • Amgen
  • AstraZeneca
  • Boehringer Ingelheim
  • Carmot Therapeutics
  • Eli Lilly
  • Gubra
  • MedImmune
  • MSD/Merck
  • Munidpharma
  • Norgine
  • Novo Nordisk
  • Sanofi
  • Zealand Pharma
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SLIDE 4

Pre-treatment HbA1c decreased substantially over time (2000-2012)

  • more patients attain HbA1c goal

Thomsen R et al., Diabetes, Obesity and Metabolism 2015

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SLIDE 5

Glycaemic control reduces the risk of microvascular complications

2 4 6 8 10 12 14 16 18 20 6 7 8 9 10 11 12 Relative Risk Retinopathy Nephropathy Neuropathy Microalbuminuria A1C (%) 43 53 63 73 83 93 103

(blindness) (dialysis) (amputations) Nephropathy Neuropathy Retinopathy

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SLIDE 6
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SLIDE 7

Number and rate* of adults who began treatment for end-stage renal disease attributed to diabetes, 2000–2014

*Rate per 100,000 persons with diabetes and age-standardized to the 2000 U.S. standard population, excluding Alaska, Vermont, and Wyoming because of the small annual number (<50) of new ESRD-D cases during the study period. Burrows et al. Morbidity and Mortality Weekly Report 2017

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SLIDE 8

Life expectancy is reduced by 12 years in diabetes patients with previous CVD*

In this case, CVD is represented by MI or stroke *Male, 60 years of age with history of MI or stroke CVD, cardiovascular disease; MI, myocardial infarction Emerging Risk Factors Collaboration et al. JAMA 2015;314:52–60

60

End of life

years

–6

yrs

–12

yrs No diabetes

Diabetes Diabetes + MI

slide-9
SLIDE 9

CVD is the leading cause of death in people with T2D

  • 1. Seshasai et al. N Engl J Med 2011;364:829-41; 2. Centers for Disease Control and Prevention National Diabetes Fact Sheet 2011. http://www.cdc.gov/diabetes/pubs/pdf/ndfs_2011.pdf; 3. International Diabetes
  • Federation. IDF Diabetes Atlas, 7th edition. Brussels, Belgium: International Diabetes Federation, 2015. http://www.diabetesatlas.org

Presented at the American Diabetes Association 76th Scientific Sessions, Session 3-CT-SY24. June 13 2016, New Orleans, LA, USA.

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SLIDE 10

Summary of glycaemic intervention studies

Study Micro CVD Mortality DCCT UKPDS ACCORD ADVANCE VADT

ACCORD, Action to Control Cardiovascular Risk in Diabetes; ADVANCE, Action in Diabetes and Vascular Disease Preterax and Diamicron MR; CVD, cardiovascular disease; DCCT, Diabetes Control and Complications Trial; UKPDS, UK Prospective Diabetes Study; VADT, Veterans Affairs Diabetes Trial

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SLIDE 11
  • In December 2008, the US FDA

issued guidance to industry for evaluating CV safety in diabetes drugs

  • Industry should demonstrate that

new therapy will not result in an unacceptable increase in CV risk

  • The upper bound of the two-sided

95% CI of the risk ratio should be <1.8

FDA guidance for industry

CI, confidence interval; CV, cardiovascular; FDA, Food and Drug Administration.

  • FDA. Guidance for Industry: Diabetes Mellitus — Evaluating Cardiovascular Risk in New Antidiabetic Therapies to Treat Type 2 Diabetes. 2008. Available at:

www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/ucm071627.pdf.

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SLIDE 12

Contemporary CVOTs in diabetes

*Estimated enrolment; †Stopped early after a median follow-up of 57.4 months following futility analysis. Trials with filled boxes are completed. Trials with a white background are ongoing. ClinicalTrials.gov (August 2018) 2019 2015 2020 2013 2014 2016 2017 2018 2021 Insulin

DEVOTE (Insulin degludec, insulin) n=7637; duration ~2 yrs Q2 2017 – RESULTS

SGLT-2i

EMPA-REG OUTCOME (Empagliflozin, SGLT-2i) n=7000; duration up to 5 yrs Q3 2015 – RESULTS CANVAS (Canagliflozin, SGLT-2i) n=4418; duration 4+ yrs Q2 2017 – RESULTS DECLARE-TIMI 58 (Dapagliflozin, SGLT-2i) n=17,276; duration ~6 yrs Q3 2018 – RESULTS CANVAS-R (Canagliflozin, SGLT-2i) n=5826; duration ~3 yrs Q2 2017 – RESULTS CREDENCE (cardio-renal) (Canagliflozin, SGLT-2i) n=4401; duration 4.5 yrs Q3 2018 – TERMINATED (+ve efficacy) VERTIS CV (Ertugliflozin, SGLT-2i) n=8000*; duration ~6.3 yrs Completion Q3 2019

GLP-1RA

ELIXA (Lixisenatide, GLP-1RA) n=6068; follow-up ~2 yrs Q1 2015 – RESULTS FREEDOM (ITCA 650, GLP-1RA in DUROS) n=4000; duration ~2 yrs Q2 2016 – TOPLINE RESULTS REWIND (Dulaglutide, QW GLP-1RA) n=10,010; duration ~6.5 yrs Q3 2018 – TOPLINE RESULTS SUSTAIN 6 (Semaglutide, QW GLP-1RA) n=3297; duration ~2.8 yrs Q3 2016 – RESULTS LEADER (Liraglutide, GLP-1RA) n=9340; duration 3.5–5 yrs Q2 2016 – RESULTS EXSCEL (Exenatide ER, QW GLP-1RA) n=14,752; follow-up ~3 yrs Q3 2017 – RESULTS HARMONY OUTCOMES (Albiglutide, QW GLP-1RA) n=9574; duration ~4 yrs Q2 2018 - RESULTS PIONEER 6 (Oral semaglutide, GLP-1RA) n=3176*; duration ~1.5 yrs Q4 2018 - TOPLINE RESULTS

DPP-4i

TECOS (Sitagliptin, DPP-4i) n=14,671; duration ~3 yrs Q1 2015 – RESULTS SAVOR-TIMI 53 (Saxagliptin, DPP-4i) n=16,492; follow-up ~2 yrs Q2 2013 – RESULTS EXAMINE (Alogliptin, DPP-4i) n=5380; follow-up ~1.5 yrs Q3 2013 – RESULTS CAROLINA (Linagliptin, DPP-4i vs SU) n=6072; duration ~8 yrs Q3 2018 - RESULTS CARMELINA (Linagliptin, DPP-4i) n=7003; duration 4.5 yrs Q1 2018 - RESULTS ALECARDIO (Aleglitazar, PPAR-αγ ) n=7226; follow-up 2 yrs

  • Termin. Q3 2013 – RESULTS

PPAR-αγ 2022

SCORED (Sotagliflozin, SGLT-1i & SGLT-2i) n=10,500*; duration ~4.5 yrs Completion Q1 2022

TZD

TOSCA IT (Pioglitazone, TZD) n=3028; duration ~10 yrs Q4 2017†– RESULTS

AGI

ACE (Acarbose, AGI) n=6522; duration ~8 yrs Q2 2017 – RESULTS AMPLITUDE-O (Efpeglenatide, GLP-1RA) n=4000*; duration ~3 yrs Completion Q2 2021 SOLOIST-WHF

(Sotagliflozin, SGLT-1i & SGLT-2i) n=4000*; duration ~2.7 yrs Completion Q1 2021

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SLIDE 13

EXAMINE Alo vs. Pbo EMPA-REG Outcome Empa vs. Pbo ELIXA* Lixi vs. Pbo ORIGIN Glargine U100 vs. SOC SAVOR TIMI-53 Saxa vs. Pbo CANVAS Program Cana vs. Pbo FREEDOM-CVO ITCA 650 vs. Pbo DEVOTE Degludec vs. Glargine U100 TECOS* Sita vs. Pbo DECLARE-TIMI 58 Dapa vs. Pbo LEADER Lira vs. Pbo CARMELINA Lina vs. Pbo SUSTAIN-6 Sema vs. Pbo EXSCEL Exe OW vs. Pbo HARMONY Alb vs. Pbo REWIND Dul vs. Pbo

0,1 0,4 0,7 1,0 1,3 HR [95% CI]

Insulin

?

0,1 0,4 0,7 1,0 1,3 1,6 HR [95% CI]

GLP-1 RA ?

0,1 0,4 0,7 1,0 1,3 HR [95% CI]

DPP-4i

0,1 0,4 0,7 1,0 1,3 HR [95% CI]

SGLT2i

Recent CVOTs with antidiabetic agents

Primary composite endpoint: MACE

*MACE+ White et al. N Engl J Med 2013; 369:1327–35; Scirica et al. N Engl J Med 2013;369:1317–26; Green et al. N Engl J Med 2015;373:232–42; McGuire et al. Presented at EASD 2018, Berlin (https://www.easd.org/myeasd/home.html#!res

  • urces/cardiovascular-outcomes-748e1b14-

d08e-441d-b7d2-40b36cccea67) Zinman et al. N Engl J Med 2015; 373:2117- 28; Neal et al. N Engl J Med 2017;377:644– 57; Wiviott et al. N Engl J Med 2018; doi:10.1056/NEJMoa1812389 *MACE+ Pffefer et al. N Engl J Med 2015;373:2247–57; Intarcia press release 06 May 2016; Marso et al. N Engl J Med 2016;375:311–22; Marso et al. N Engl J Med 2016;375:1834–44; Holman et al. N Engl J Med 2017;377:1228–39; Hernandez et al. Lancet 2018;doi:10.1016/S0140-6736(18)32261-X; Eli Lilly press release, November 2018 (https://investor.lilly.com/news-releases/news- release-details/trulicityr-dulaglutide-demonstrates-superiority- reduction) Gerstein et al. N Engl J Med 2012;367: 319–28; Marso et al. N Engl J Med 2017;377:723– 32

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SLIDE 14

GLP-1: beyond glucose metabolism

DPP-4, dipeptidyl peptidase-4; GI, gastrointestinal; GLP-1, glucagon-like peptide-1 Adapted from Meier et al. Nat Rev Endocrinol 2012;8:728–42

Brain

Neuroprotection Neurogenesis Memory

Heart

Myocardial contractility Heart rate Myocardial glucose uptake Ischaemia-induced myocardial damage

Kidney

Natriuresis GLP-1

His Ala Thr Thr Ser Phe Glu Gly Asp Val Ser Ser Tyr Leu Glu Gly Ala Ala Gln Lys Phe Glu Ile Ala Trp Leu Gly Val Gly Arg Lys

Fat cells

Glucose uptake Lipolysis

Liver

Glycogen storage

Skeletal muscle

Glucose uptake

Blood vessel

Endothelium-dependent vasodilation

Pancreas

New β-cell formation β-cell apoptosis Insulin biosynthesis

DPP-4

GI tract

Motility

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SLIDE 15

In the rodent and monkey brain, GLP-1R is abundantly expressed in many regions

ARH, arcuate nucleus; AP, area postrema; GLP-1R, glucagon-like peptide-1 receptor; LS, septal nucleus; ME, median eminence; NTS, nucleus tractus solitarus Heppner et al. Endocrinology 2015;156:255–67

LS LS AP+NTS ARH LS SFO NTS LS ARH ME AP

Mouse

NTS AP

Monkey

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SLIDE 16

Change in body weight (%)

Baseline to week 52: J2R-MI data (phase 2)

J2R-MI, jump-to-reference – multiple imputation; s.c., subcutaneous All randomised, effectiveness estimand. Graph is estimated mean data ± min/max O’Neil et al. Presented at: ENDO 2018: The Endocrine Society Annual Meeting; Chicago, IL; March 17-20, 2018. Abstract OR12-5

Change in weight (%)

  • 15
  • 10
  • 5

2 4 6 8 10 12 14 16 18 20 24 28 32 36 40 44 48 52

Semaglutide s.c. 0.05 mg Semaglutide s.c. 0.1 mg Semaglutide s.c. 0.2 mg Semaglutide s.c. 0.3 mg Semaglutide s.c. 0.4 mg Placebo pool

Week

Liraglutide 3.0 mg

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SLIDE 17

GLP-1: beyond glucose metabolism

DPP-4, dipeptidyl peptidase-4; GI, gastrointestinal; GLP-1, glucagon-like peptide-1. Adapted from Meier et al. Nat Rev Endocrinol 2012;8:728–42

Brain

Neuroprotection Neurogenesis Memory

Heart

Myocardial contractility Heart rate Myocardial glucose uptake Ischaemia-induced myocardial damage

Kidney

Natriuresis

GLP-1

His Ala Thr Thr Ser Phe Glu Gly Asp Val Ser Ser Tyr Leu Glu Gly Ala Ala Gln Lys Phe Glu Ile Ala Trp Leu Gly Val Gly Arg Lys

Fat cells

Glucose uptake Lipolysis

Liver

Glycogen storage

Skeletal muscle

Glucose uptake

Blood vessel

Endothelium-dependent vasodilation

Pancreas

New β-cell formation β-cell apoptosis Insulin biosynthesis

DPP-4

GI tract

Motility

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SLIDE 18

Liraglutide inhibits progression of early, low-burden atherosclerotic lesion development in apolipoprotein E-/- mice

*p<0.05 vs vehicle by one-way ANOVA; data are mean ± SEM; performed in ApoE–/– mice with early, low-burden atherosclerotic lesions ApoE–/–, apolipoprotein E knockout; ANOVA, analysis of variance; Ex-9, exendin-9; IMR, intima:media ratio; Lira, liraglutide; SEM, standard error of the mean Gaspari et al. Diab Vasc Dis Res 2013;10:353‒60

IMR

0.4 0.3 0.2 0.1 0.0

Vehicle Lira Lira + Ex-9

*

IMR analysis performed in the aortic arch

Intima:media ratio (IMR)

N=6‒10

% lesion area

15 10 5

Vehicle Lira Lira + Ex-9

Oil red O staining performed in the aorta

Lipid deposition

N=13‒16

Vehicle Lira Lira + Ex-9

M M I M I

Lesion development

Haemotoxylin and eosin staining in the aortic arch

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SLIDE 19

Semaglutide significantly attenuates aortic plaque lesions in LDLr-/- mice in a dose-independent manner

*p<0.05; **p<0.001, vs vehicle. LDLr, low-density lipoprotein receptor; TG, triglyceride Rakipovski et al. Abstract 244-OR presented at the American Diabetes Association 77th Scientific Sessions; Jun 9–13, 2017; San Diego, USA

Body weight (g)

7 14 21 28 35 42 49 56 63 70 77 84 91 98 105 112 119

15 20 25 30 35 40

Time (experiment day)

Western diet (high fat, sugar + 0.2% cholesterol)

Plasma triglyceride

10 15 20 TG (mmol/L)

*

5

Vehicle, chow Vehicle, western diet Semaglutide (1 nmol/kg) Semaglutide (3 nmol/kg) Semaglutide (15 nmol/kg)

10 20 30

Aortic plaque lesions

**

Plaque area (%)

** **

Vehicle, chow Vehicle, western diet

Semaglutide

1 nmol/kg 3 nmol/kg 15 nmol/kg

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SLIDE 20

Semaglutide affects several genes related to the process of atherosclerosis in LDLr-/- mice

Rakipovski et al. JACC Basic to Translational Science 2018, DOI: 10.1016/j.jacbts.2018.09.004 A B C A 1 P T G IS C C L 2 IL 1 R N IL 6 S E L E V C A M 1 O P N M M P 3 M M P 1 3

  • 2

2 4 6 8

R e la tiv e E x p re s s io n (L o g 2 ) L D L -R -/- W D L D L -R -/- 4 µ g /k g S e m a g lu t id e , W D L D L -R -/- 1 2 µ /k g S e m a g lu t id e , W D L D L -R -/- 6 0 µ g /k g S e m a g lu t id e , W D

C h o le s te ro l M e ta b o lis m L e u k o c y te r e c r u itm e n t L e u k o c y te a d h e s io n & e x tr a v a s a tio n E x tra c e llu la r m a trix p r o te in tu r n o v e r

ABCA1: ATP-binding cassette transporter PTGIS: Prostaglandin I2 synthase CCL2: Chemokine ligand 2 IL1RN: Interleukin-1 receptor antagonist IL6: Interleukin-6 SELE: Selectin E VCAM1: Vascular cell adhesion molecule 1 MMP3: Matrix metalloproteinase-3 MMP13: Matrix metalloproteinase-13 OPN: Osteopontin

  • 87 genes related to inflammation were significantly regulated

23 April 2019 21

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SLIDE 21
  • Analysis of macrophages for MΦ1 (pro-atherogenic) and MΦ2 (pro-resolving) macrophage markers,

showed that liraglutide modulates macrophage cell fate towards MΦ2 pro-resolving macrophages

  • This coincided with decreased atherosclerotic

lesion formation

Liraglutide reduces atherosclerotic lesion formation via modulation of macrophage cell fate in ApoE-/- mice

Bruen et al. Cardiovasc Diabetol 2017;16:143

MΦ MΦ1 MΦ2

Macrophage Pro-atherogenic Pro-resolving Atherosclerotic lesion

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SLIDE 22

Semaglutide reduces CRP

Estimated mean by week and ratio to baseline at week 56 (SUSTAIN 3)

CRP ETR* 95% CI p value

Semaglutide 1.0 mg: Exenatide ER 2.0 mg 0.80† (0.71 ; 0.90) P=0.0001 Overall mean at baseline: 2.8 mg/L 1.8 mg/L 2.2 mg/L

1,5 2,0 2,5 3,0 56 Semaglutide 1.0 mg Exenatide ER

CRP (mg/L) Time since randomisation (week)

*p<0.0001. Data are estimated means (± standard errors) from a mixed model for repeated measurements analysis using ‘on-treatment without rescue medication’ data from patients in the full analysis set. Dashed line indicates the overall mean value at baseline. CI, confidence interval; CRP, C-reactive protein; exenatide ER, exenatide extended release; ETR, estimated treatment ratio. Novo Nordisk data on file

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SLIDE 23

GLP-1: beyond glucose metabolism

DPP-4, dipeptidyl peptidase-4; GI, gastrointestinal; GLP-1, glucagon-like peptide-1. Adapted from Meier et al. Nat Rev Endocrinol 2012;8:728–42

Brain

Neuroprotection Neurogenesis Memory

Heart

Myocardial contractility Heart rate Myocardial glucose uptake Ischaemia-induced myocardial damage

Kidney

Natriuresis

GLP-1

His Ala Thr Thr Ser Phe Glu Gly Asp Val Ser Ser Tyr Leu Glu Gly Ala Ala Gln Lys Phe Glu Ile Ala Trp Leu Gly Val Gly Arg Lys

Fat cells

Glucose uptake Lipolysis

Liver

Glycogen storage

Skeletal muscle

Glucose uptake

Blood vessel

Endothelium-dependent vasodilation

Pancreas

New β-cell formation β-cell apoptosis Insulin biosynthesis

DPP-4

GI tract

Motility

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SLIDE 24

SGLT-2 inhibition

Proposed modes of action:

  • Fluid reduction
  • Haemodynamic effects
  • Heart metabolism
  • Renal effects
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SLIDE 25

Potential mechanisms for the beneficial effect of SGLT2 inhibitors on cardiovascular outcomes

DeFronzo et al. Nat Rev Nephrol 2017;13:11–26. Ang, angiotensin; CV, cardiovascular; SNS, sympathetic nervous system

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SLIDE 26

Effects of SGLT2is on body weight vs placebo in patients with T2D

Data are reported as mean difference [95% confidence interval] vs placebo (dashed line) from a network meta-analysis. SGLT2i, sodium–glucose co-transporter 2 inhibitor. Zaccardi F et al. Diabetes Obes Metab 2016;18:783–94.

Canagliflozin Empagliflozin Dapagliflozin DPP-4 inhibitor Metformin Sulphonylurea –3 –2 –1 1 kg

Body weight

2

0.0

  • 0.5
  • 1.0
  • 1.5
  • 2.0
  • 2.5
  • 3.0
  • 3.5
  • 4.0
  • 4.5
  • 5.0
  • 0.65
  • 0.40
  • 2.16
  • 1.00
  • 1.46
  • 0.90
  • 2.80
  • 1.30

24 weeks PLA + MET (n=86) DAPA 10 mg + MET (n=83) PLA + MET (n=71) DAPA 10 mg + MET (n=66) 102 weeks Total lean tissue mass Total fat tissue mass Change in body composition (kg)*

DAPA, dapagliflozin; MET, metformin; PBO, placebo. Bollinder et al Diabetes, Obesity and Metabolism 2014;16;159–169

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SLIDE 27

Potential mechanisms for the beneficial effect of SGLT2 inhibitors on cardiovascular outcomes

DeFronzo et al. Nat Rev Nephrol 2017;13:11–26. Ang, angiotensin; CV, cardiovascular; SNS, sympathetic nervous system

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SLIDE 28

Empagliflozin increases circulating β-hydroxybutyrate and stimulates ketogenesis

Ferrannini et al. Diabetes 2016;65:1190-1195

SGLT2-mediated glycosuria results in a shift in fuel utilisation towards fatty substrates. The associated hormonal changes (lower insulin-to-glucagon ratio) favours ketogenesis

Baseline Acute dosing Chronic dosing

Patient with type 2 diabetes (n=66) No diabetes (n=25)

Meal ingestion Meal ingestion -hydeoxybutyrate (µmol/L) 300 240 180 120 60 –60 –120 –180 300 600 900 300 240 180 120 60 –60 –120 –180 300 600 900 -hydroxbutyrate (µmol/L) Baseline Acute dosing Chronic dosing

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SLIDE 29

Possible changes in myocardial fuel metabolism before and after SGLT2 inhibitor therapy

Mudaliar et al. Diabetes Care 2016

  • In the failing diabetic heart, a

metabolic advantage exists in using ketone bodies as a fuel

  • The failing myocardium is able

to effectively use ketone bodies as an alternative fuel

Type 2 diabetes heart ↑ Fat oxidation ↓ Glucose oxidation ↓ P/O ratio ↓ Cardiac work efficiency ↓ Fat oxidation ↑ Glucose oxidation ↑↑ BHOB Ox ↑ P/O ratio ↑ Cardiac work efficiency

↓Myocardial contractility ↑ Incidence/progression

  • f heart failure

↓ Incidence/progression

  • f heart failure

↑Myocardial contractility

P/O, number of molecules of ATP produced per atom of oxygen reduced by the mitochondrial electron transport chain; BHOB, β-hydroxybutyrate; SGLT2, sodium-glucose co-transporter 2

SGLT2 treatment

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SLIDE 30

Potential mechanisms for the beneficial effect of SGLT2 inhibitors on cardiovascular outcomes

DeFronzo et al. Nat Rev Nephrol 2017;13:11–26. Ang, angiotensin; CV, cardiovascular; SNS, sympathetic nervous system

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SLIDE 31

Effects of SGLT2is on systolic blood pressure vs placebo in patients with T2D

Data are reported as mean difference [95% confidence interval] vs placebo (dashed line) from a network meta-analysis. Cana, canagliflozin; CV, cardiovascular; Dapa, dapagliflozin; DPP-4, dipeptidyl peptidase-4; Empa, empagliflozin; SGLT2i, sodium–glucose co-transporter 2 inhibitor. Zaccardi F et al. Diabetes Obes Metab 2016;18:783–94.

2 –2 –4 –6 mmHg

Systolic blood pressure

Canagliflozin Empagliflozin Dapagliflozin DPP-4 inhibitor Metformin Sulphonylurea

In general, no effect on heart rate

slide-32
SLIDE 32

SGLT2 inhibition is associated with increased haematocrit

  • 1. Kohler S, Clin Ther 2016;38:1299–1313

Pooled data from 17 randomised trials in patients with type 2 diabetes1 Increased red blood cell mass (~6%) was observed with dapagliflozin, which may indicate stimulation of erythropoiesis2

CV, cardiovascular; EMPA, empagliflozin; SGLT2, sodium–glucose co-transporter 2

  • 2
  • 1

1 2 3 4 5

Placebo EMPA 10 mg EMPA 25 mg

Haematocrit, % Changes in haematocrit with empagliflozin n = 3695 n = 3806 n = 4782

30 20 –10 –20 –30 10 –40 Placebo Dapagliflozin Hydrochlorothiazide Red cell mass change from baseline (%) P: –1.2 (–3.2 to +1.3) D: +6.6 (+1.0 to +9.3) H: –6.5 (–16.1 to +3.8)

and red blood cell mass

  • 2. Lambers Heerspink HJ, et al. Diabetes Obes Metab 2013;15:853–862
slide-33
SLIDE 33

Univariate analysis of potential mediators of improved cardiovascular mortality following SGLT2 inhibition

Inzucchi et al. Diabetes Care 2018 Hazard ratio (95% CI) % contribution to CV benefit HR Empa vs placebo Unadjusted 0.25 0.50 1.00 2.00 4.00 Mechanism Covariate Glycaemia 3.0% 0.624 HbA1c 16.1% 0.665 FPG Vascular tone –7.5% 0.593 Systolic BP –0.3% 0.614 Diastolic BP 2.0% 0.621 Heart rate Lipids 6.9% 0.636 HDL-C –6.5% 0.596 LDL-C –3.4% 0.605 Triglycerides Renal factors 11.1% 0.649 Log UACR 5.3% 0.631 eGFR Adiposity –12.4% 0.579 Weight –12.8% 0.578 BMI –5.8% 0.598 Waist circumference Other 24.6% 0.693 Uric acid Volume 51.8% 0.791 Haematocrit 0.615

slide-34
SLIDE 34

Potential mechanisms for the beneficial effect of SGLT2 inhibitors on cardiovascular outcomes

DeFronzo et al. Nat Rev Nephrol 2017;13:11–26. Ang, angiotensin; CV, cardiovascular; SNS, sympathetic nervous system

slide-35
SLIDE 35

Empagliflozin does not increase muscle sympathetic nerve activity (MSNA) despite its diuretic effect

Jordan et al. J Am Soc Hypertension 2017;11: 604-612

Sympathetic nerve activity

The authors speculate: “Our findings suggest that an increase in MSNA through increased diuresis may be compensated for a hitherto unknown inhibitory effect of empagliflozin on the sympathetic nervous system”

Urine volume

slide-36
SLIDE 36

Potential mechanisms for the beneficial effect of SGLT2 inhibitors on cardiovascular outcomes

DeFronzo et al. Nat Rev Nephrol 2017;13:11–26. Ang, angiotensin; CV, cardiovascular; SNS, sympathetic nervous system

slide-37
SLIDE 37

GLP-1RAs and SGLT-2is work in glucose-dependent fashions… …and are therefore not associated with high risk of hyperglycaemia

Hypoglycaemia reported in LEADER Rate ratio (95% CI) P value Liraglutide Placebo N % N % Confirmed hypoglycaemia 0.80 (0.74 ; 0.88) <0.001 2039 43.7 2130 45.6 Severe hypoglycaemia 0.69 (0.51 ; 0.93) 0.016 114 2.4 153 3.3 Favours liraglutide Favours placebo

1 0 .5 1 .5

Hazard ratio (95% CI)

Important for their beneficial CVD effects?

slide-38
SLIDE 38

Window (days) Hazard ratio [95% CI] With prior severe hypoglycaemia in window Without prior severe hypoglycaemia in window n R n R Any time 2.51 [1.79; 3.50] 38 7.32 385 2.64 365 days 2.78 [1.92; 4.04] 30 7.78 393 2.67 180 days 3.13 [1.99; 4.90] 20 8.56 403 2.71 90 days 3.28 [1.85; 5.83] 12 8.95 411 2.74 60 days 2.74 [1.30; 5.79] 7 7.40 416 2.77 30 days 3.66 [1.51; 8.84] 5 9.84 418 2.77 15 days 4.20 [1.35; 13.09] 3 11.23 420 2.78

0,25 0,5 1 2 4 8 16

Increased risk of all-cause death following a severe hypoglycaemic event

DEVOTE pooled data

Pieber et al. Diabetologia 2018;61:58–65

Hazard ratio [95% CI]

Higher risk of all-cause death any time following severe hypoglycaemia

slide-39
SLIDE 39

What are the possible mechanisms for this temporal relationship?

EU, euglycaemic; HYPO, hypoglycaemic Chow et al. Diabetes Care 2018;doi:10.2337/dc18-0050

Hyperinsulinaemic clamp visit 6 mmol/L (60 min) 6 mmol/L (60 min) 2.5 mmol/L (60 min) 2.5 mmol/L (60 min) Post clamp day 1 Post clamp day 7

AM PM EU arm HYPO arm

Sampling time points

Baseline End of clamp Recovery Day 1 Day 7

Fibrin clot dynamics Platelet assays Coagulation, inflammatory markers Catecholamines Cortisol Insulin Fibrin clot dynamics Platelet assays Coagulation, inflammatory markers Catecholamines Cortisol Insulin Fibrin clot dynamics Platelet assays Coagulation, inflammatory markers Catecholamines Cortisol Insulin

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SLIDE 40

What are the possible mechanisms for this temporal relationship?

Data are mean (SE). ††p <0.01 euglycaemia vs. hypoglycaemia at equivalent time points; *p <0.05, **p <0.01 vs. baseline Chow et al. Diabetes Care 2018;doi:10.2337/dc18-0050

Type 2 diabetes Controls

HYPO EU

Glycaemic arm p=0.001 Time x glycaemic arm p=0.19 Glycaemic arm p=0.002 Time x glycaemic arm p=0.02 Glycaemic arm p=0.99 Time x glycaemic arm p=0.36 Glycaemic arm p=0.02 Time x glycaemic arm p=0.80

100

  • 100
  • 200
  • 300

Δ Lysis time (s) †† †† †† * * 0.05 0.00

  • 0.05
  • 0.10

Δ Clot absorbance (AU) †† * * 0.10 0.05 0.00

  • 0.05
  • 0.10

Δ Clot absorbance (AU) * 0.10 100

  • 100
  • 200
  • 300

Δ Lysis time (s)

HYPO EU HYPO EU HYPO EU

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SLIDE 41
  • GLP-1RAs reduce body weight and systolic blood pressure (and blood lipids)
  • GLP-1RAs cause a small increase in heart rate
  • In mouse models of atherosclerosis, GLP-1 protected against atherosclerotic plaque development,

possibly via modulation of macrophage function

  • SGLT-2is reduce systolic blood pressure and body weight
  • Reduced plasma volume from osmotic diuresis and natriuresis (without compensatory sympathetic

nerve activity) may reduce vascular wall stress and myocardial stretch

  • Mediation analyses of EMPA-REG OUTCOME highlighted potential mediation of heart failure benefit

by markers of plasma volume changes (haematocrit)

  • SGLT-2is are hypothesised to cause a shift in heart fuel supply in T2D from fatty acids and glucose to

the more energy-efficient ketones, improving myocardial efficiency

Summary

GLP-1RA, glucagon-like peptide-1 receptor agonist.