Changing Paradigm in Prediabetes and CVD: Potential for New Concepts and Tools
Monday 31 August 2020 Professor John Deanfield, UCL
Deanfield UCL
Potential for New Concepts and Tools Monday 31 August 2020 - - PowerPoint PPT Presentation
Changing Paradigm in Prediabetes and CVD: Potential for New Concepts and Tools Monday 31 August 2020 Professor John Deanfield, UCL Deanfield UCL Disclosures Received CME honoraria and/or consulting fees from Amgen, Boehringer Ingelheim,
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Deanfield UCL
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Source: Diabetes Atlas Third Edition, International Diabetes Federation (IDF)
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A 50-year old with T2DM but no CVD Is ~6 years younger at time of death
Men with T2DM
7 6 5 4 3 2 1 40 50 60 70 80 90 Age (years) Years of life lost Vascular deaths
Non-vascular deaths
Source: (L) Seshasai et al, N Engl J Med 2011; 364:829-41; (R): Sabatine MS, et al. Lancet Diab Endocrinol.
10.1016/S2213-8587(17)30313-3
T2DM doubles the risk of CV events
T2DM No T2DM
FOURIER Trial
Deanfield UCL Source: Hu et al, Diabetes Care 2002; 25: 1129-1134
20 yr F/U of 117,629 women: n=1,508 diabetes at B/L; n=5,894 developed diabetes; n=110,227 free from diabetes
0.0 Relative risk of MI or stroke Non-diabetic throughout the study Risk of event prior to DM diagnosis Risk of event after DM diagnosis Diabetic at B/L 6.0 5.0 4.0 3.0 2.0 1.0 5.02 3.71 2.82 1.0
Calorie-dense food
Adipocyte
Lean adipose tissue Obesity adipose tissue
M1 ATM M2 ATM Hypertrophic adipocyte
↑IL 6, ↑ TNFα, ↑ IL-1β CCL2, CCL5, CXCL5
M2 ATM
↑Endothelial permeability, plaque development, atherosclerosis
CVD Systemic inflammation
↓Cholesterol metabolism, ↑glucose production, insulin resistance ↓Insulin secretion
T2DM
↓Glucose uptake, insulin resistance
Source: Yao L, et al. J Immunol Res 2014;2014:181450. CCL, chemokine (C-C motif) ligand; CXCL5, chemokine (C-X-C motif) ligand 5; IL, interleukin; TNFα, tumour necrosis factor alpha; M1 ATM, classically activated adipose tissue macrophages; M2 ATM, alternatively activated adipose tissue macrophages.
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Deanfield UCL
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Source: Lean, M et al, Lancet Diabetes Endocrinol 2019; S2213-8587(19)30068-3
Deanfield UCL Source: Reges et al. JAMA. 2018;319:279–90
Laparoscopic banding
1 2 3 4 5 6 7 8 % cumulative mortality 1 2 3 4 5 6 7 8 9 10 11 Years Nonsurgical Laparoscopic banding
Roux-en-Y gastric bypass
1 2 3 4 5 6 7 8 % cumulative mortality 1 2 3 4 5 6 7 8 9 10 11 Years Nonsurgical Roux-en-Y gastric bypass
8,385 pts (65.5% women, BMI 40.6, median age 46 yrs) / 25,155 pts controls
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66% of people on AM833 + semaglutide 2.4 mg achieved >15% weight loss in 20 weeks
STEP 4 trial semaglutide sc AM833 & semaglutide phase I trial
Sources: Kushner et al. Obesity 2020;28:1050–61; Novo Nordisk. Investor Presentation. June 2020. Available here
Randomisation
% change in body weight Time since initiation (weeks)
Placebo: -5.2% Semaglutide: -18.2% 10.5%
0 4 8 12 16 20 24 28 36 44 52 60 68 % change in body weight
Mean baseline: 95.1 kg
Weeks
4 8 12 16 20
AM833 0.16 mg sema 2.4 mg AM833 0.3 mg sema 2.4 mg AM833 0.6 mg sema 2.4 mg AM833 1.2 mg sema 2.4 mg AM833 2.4 mg sema 2.4 mg sema 2.4 mg
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Semaglutide s.c. 2.4 mg once-weekly Placebo s.c. once-weekly Event driven
1,225 first MACEs
Randomisation (1:1) N=17,500 patients Male or female ≥45 years of age BMI ≥27
Prior MI Prior stroke PAD
Primary endpoint: Time from randomisation to first occurrence of a composite endpoint consisting of either:
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Deanfield UCL Source: Ward et al, N Engl J Med 2017;377:2145-53
Deanfield UCL Source: Twig G et al, NEJM 2016;374:2430-40
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0.72 0.70 0.68
NW OW-2009 OW-1999 OW-1989 OW-1982
11% 27% 67%
childhood 36 years 64 years
Linear beta: 0.01 (0.004, 0.015) p<0.001 cIMT (mm)
Exposure to adiposity and cIMT
0.71 0.69 0.67
Never lost weight N=682 Lost & gained N=152 Always NW N=311
cIMT (mm)
Weight loss and cIMT
P<0.001 P=0.002
Source: Charakida, Lancet Diabetes 2014;8:648-654
Exposure to adiposity and cIMT Weight loss and cIMT
cIMT (mm)
cIMT (mm)
MRC Unit for Lifelong Health and Aging – National Survey of Health and Development (NSHD)
The NSHD, the oldest of British birth cohort studies, is unique in having data from birth to age 65 years on the health and social circumstances of a representative sample (N=5362)
Deanfield UCL Source: Li et al. Lancet Diabetes Endocrinol 2014;2:474–80
25 5 10 15 20 2 4 6 8 10 12 14 16 18 20 22 23
CV disease mortality: HR 0.59 (95% CI: 0.36; 0.96), p=0.033 Control Intervention
Years CVD mortality in proportion
Source: INTERHEART Lancet 2004
Age (yrs) 20 40 60 Foetus
9 RFs accounted for 90% of MI in men and 94% in women Clinical Events
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30 50 10 £632 pm £821 pm £1,142 pm £1,923 pm £500,000 pension pot Savings Strategy
2 4 6 8 10 12 14 16 18 20 Quintile 1 Quintile 2 Quintile 3 Quintile 4 Quintile 5 Diabetes (%) BMI Quintiles
Comparison of effect of BMI on risk of diabetes
Mendelian randomization BMI 21.8 BMI 24.6 BMI 26.7 BMI 29.2 BMI 24.7
Observational analysis
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Lowering of CV risk in established T2DM or CVD is possible but not enough Substantial weight loss can be achieved by diet, surgery and new drugs (GLP1-RA) Ongoing trials are testing impact on CV outcome in obese patients with CV RFs/CVD Early, intervention can personalise strategies for prevention of T2DM and lifetime reduction of CVD