2. efectos castelao...improved(diabetes(care(has(notyetsucceeded(in(reducing(renal(complicaons(0 50...

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Efectos vasculares y renales de los Inhibidores de DPP4 Alberto Mar+nezCastelao Consultor emérito Hospital Universitari Bellvitge, IDIBELL Hospitalet. Barcelona. REDinREN , InsDtuto Salud Carlos III.

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Page 1: 2. efectos castelao...Improved(diabetes(care(has(notyetsucceeded(in(reducing(renal(complicaons(0 50 100 150 1990 2000 2010 t MI Stroke ESRD MI,(myocardial(infarcDon

Efectos  vasculares  y  renales  de  los  Inhibidores  de  DPP4  

Alberto  Mar+nez-­‐Castelao  Consultor  emérito  Hospital  Universitari  Bellvitge,  IDIBELL  Hospitalet.  Barcelona.  REDinREN  ,  InsDtuto  Salud  Carlos  III.    

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DISCLOSURE  

•  Honoraria  from  Amgen,  Bayer,  Boëhringer-­‐Ingelheim,  Fresenius,  Gambro,  Janssen-­‐Cilag,  NovarDs,  Roche,  Shire.  

•  Advisory  boards  for  Abbvie,  Amgen,  Boëhringer-­‐Ingelheim,  MSD.Roche.  

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Improved  diabetes  care  has  not  yet  succeeded  in  reducing  renal  complicaDons  

0

50

100

150

1990 2000 2010

Even

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MI Stroke ESRD

MI,  myocardial  infarcDon  Adapted  from  Gregg  EW  et  al.  N  Engl  J  Med  2014;370:1514  

3  

Year  

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Albuminuria: early marker for poor outcome in complex pathology of vascular disease

Adapted  from  Chade  A,  et  al.  Hypertension.  2005;45:1042–1049.  

CV risk factors* *e.g., diabetes, hypertension, dyslipidaemia

Atherosclerosis Albuminuria

CV and renal disease

Inflammation Oxidative stress

Endothelial dysfunction

Vascular damage

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Major  previous  placebo-­‐controlled  trials  with  renal  outcomes  in  paDents    with  Type  2  Diabetes  and  CKD  

ACEi,  angiotensin-­‐converDng  enzyme  inhibitor;  ARB,  angiotensin  receptor  blocker;  CKD,  chronic  kidney  disease;    Cr,  creaDnine;  CV,  cardiovascular;  eGFR,  esDmated  glomerular  filtraDon  rate;  ESRD,  end-­‐stage  renal  disease;  

na,  not  applicable;  Nrf2,  transcripDon  factor  called  nuclear  factor  (erythroid-­‐derived  2)-­‐like  2;  RAAS,  renin-­‐angiotensin-­‐aldosterone  system;  UACR,  urinary  albumin-­‐to-­‐creaDnine  raDo.  

1.  Lewis  EJ,  et  al.  N  Engl  J  Med.  2001;345:851–860;  2.  Brenner  BM,  et  al.  N  Engl  J  Med.  2001;345:861–869;  3.  Fried  LF,  et  al.  N  Engl  J  Med.  2013;369:1892–1903;  4.  Parving  HH,  et  al.  N  Engl  J  Med.  2012;367:2204–2213;  5.  de  Leeuw  PW.  Ann  Intern  Med.  2013;158:JC7;  6.  Mann  JF,  et  al.  J  Am  Soc  Nephrol.  2010;21:527–535;  7.  de  Zeeuw  D,  et  al.  N  Engl  J  

Med.  2013;369:2492–2503;  8.  Pfeffer  MA,  et  al.  N  Engl  J  Med.  2009;361:2019–2032.  Source:  Groop  P-­‐H,  et  al.  Diab  Vasc  Dis  Res.2015;  pii:  1479164115579002  

Trial Study drug Concept Mean study

duration Reason for early

termination Key results

IDNT1 Irbesartan Single RAAS

blockade (ARB) 2.6 years na •  20% reduction in risk of doubling serum

Cr, ESRD and death

RENAAL2 Losartan Singe RAAS

blockade (ARB) 3.4 years na •  16% reduction in risk of doubling serum

Cr, ESRD and death

VA NEPHRON-D3

Losartan + Lisinopril

Dual RAAS blockade (ARB +

ACEi) 2.2 years

Excess risk of hyperkalaemia

and acute kidney injury

•  No benefit in eGFR decline, ESRD or death

ALTITUDE4, 5 Aliskiren

Dual RAAS blockade (renin inhibitor + ARB

or ACEi)

2.7 years

Excess risk of hyperkalaemia

and hypotension

•  No significant differences in renal composite outcome (ESRD, renal death and doubling of serum Cr)

•  14% reduction in UACR

ASCEND6 Avosentan Endothelin antagonist 4 months

Excess risk of CV events •  45–50% reduction in UACR

BEACON7 Bardoxolone methyl

Antioxidant (Nrf2 activator) 9 months

Excess risk of CV events

•  No reduction in the risk of ESRD or CV death

TREAT8 Darbepoetin Erythropoiesis-

stimulating agent

2.4 years na •  No reduction in the risk of ESRD or death •  Excess risk of stroke, thromboembolic

complications and cancer deaths

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Major  ongoing,  Phase  3,  randomised,  placebo-­‐controlled  clinical  trials  with  renal  outcomes  in  paDents  with  Type  2  Diabetes  and  CKD  

CKD,  chronic  kidney  disease;  Cr,  creaDnine;  CV,  cardiovascular;  DPP4,  dipepDdyl  pepDdase  4  inhibitor;  eGFR,  esDmated  glomerular  filtraDon  rate;  ESRD,  end-­‐stage  renal  disease;  SGLT2,  sodium  glucose  cotransporter  2.  

Source:  Groop  P-­‐H,  et  al.  Diab  Vasc  Dis  Res.2015;  pii:  1479164115579002  

Trial Drug Target Estimated enrollment

Estimated treatment duration (months)

Predefined renal outcomes

Estimated completion date

CARMELINA®™ NCT01897532 Linagliptin

DPP4 inhibition 8300 48

ESRD, sustained decrease of eGFR ≥ 50%, renal death

January 2018

CREDENCE NCT02065791 Canagliflozin

SGLT2 inhibition 3627 66

ESRD, doubling of serum Cr,

renal or CV death February 2019

SONAR NCT01858532 Atrasentan

Endothelin receptor

antagonist 4148 48

ESRD, doubling of serum Cr March 2017

PIONEER NCT02156843 Pyridorin

Vitamin B6 600 42

ESRD, doubling of serum Cr March 2018

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DPP-­‐4  inhibitors  and  albuminuria  

•  The  following  slides  report  findings  from  studies  that  evaluated  changes  in  albuminuria  for  the  following  DPP-­‐4  inhibitors:  –  SitaglipDn  –  AloglipDn  

•  SitaglipDn/aloglipDn  crossover  –  VildaglipDn  –  SaxaglipDn  –  LinaglipDn  –  TeneliglipDn  (Japón,  Corea  y  ArgenDna)  

•  Comparisons  of  paDent  populaDons,  background  medicaDons  and  changes  in  eGFR  and  HbA1c  are  noted  between  trials    

7  

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Diabetes,  Metabolic  Syndrome  and  Obesity:  Targets  and  Therapy  2015:8  ;  339-­‐345.  

   An:-­‐atherosclero:c  effects  of  sitaglip:n  in  pa:ents  with  type  2  diabetes  mellitus    Omoto  S,  Taniura  T,  Nishizawa  T,  Tamaki  T,  Shouzu  A,    Nomura  S                  

               Conclusion:    SitaglipDn  shows  an  adiponecDn-­‐dependent  an:-­‐atherothrombo:c  effect,  which  may  be  beneficial  for  primary  prevenDon  of  atherothrombosis,  in  paDents  with  type  2  diabetes.  

   DiabeDc  paDents  eligible  for  sitaglipDn  monotherapy  or  combinaDon  therapy  (eg,  sitaglipDn  plus  a  sulfonylurea)  were  administered  sitaglipDn  (50  mg/day)  for  6  months.  Levels  of  soluble  P-­‐selecDn  (sP-­‐selecDn),  soluble  E-­‐selecDn  (sE-­‐selecDn),  soluble  vascular  cell  adhesion  molecule-­‐1  (sVCAM-­‐1),  MCP-­‐1,  sRAGEs,  and  adiponecDn  were  measured  by  ELISA  at  baseline  and  aler  3  and  6  months  of  treatment.    

RESULTS:    reducDons  in  sP-­‐selecDn,  sE-­‐selecDn,  sVCAM-­‐1,  and  MCP-­‐1  during  sitaglipDn  therapy  were  significantly  greater  in  responders,  defined  as  paDents  with  a  significant  increase  in  adiponecDn  levels,  than  in  nonresponders.    

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                 Renal  Effects  of  DPP-­‐4  Inhibitors:  A  Focus  on  Microalbuminuria.  Haluzik  M;  Rychlik  I  InternaDonal  Journal  of  Endocrinology  2013  (7085):895102  ·∙  September  2013  DOI:  10.1155/2013/895102  ·∙      One  of  the  recently  emerged  interesDng  features  of  dipepDdyl  pepDdase-­‐4  (DPP-­‐4)  inhibitors  is  its  possible  protecDve  effect  on  the  diabeDc  kidney  disease.    Here,  we  review  the  renal  effects  of  DPP-­‐4  inhibitors  with  special  focus  on  its  influence  on  the  onset  and  progression  of  microalbuminuria,  as  presence  of  microalbuminuria  represents  an  important  early  sign  of  kidney  damage  and  is  also  associated  with  increased  risk  of  hypoglycemia  and  cardiovascular  complicaDons.      Mechanisms  underlying  possible  nephroprotec:ve  proper:es  of  DPP-­‐4  inhibitors  include:  

   reducDon  of  oxida&ve  stress  and  inflamma&on        improvement  of  endothelial  dysfunc&on.        Effects  of  DPP-­‐4  inhibitors  may  be  both  glucagon-­‐like  pep&de-­‐1  (GLP-­‐1)        dependent  and  independen  

Numerous  ongoing  long-­‐term  cardiovascular  trials  with  DPP-­‐4  inhibitors  can  bring  novel  crucial  informaDon  about  relaDonships  among  glucose  control  and  macrovascular  and  microvascular  complicaDons  and  further  elucidate  the  role  of  albuminuria  in  these  processes    

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Systema:c  Literature  Review  of  DPP-­‐4  Inhibitors  in  Pa:ents  with  Type  2  Diabetes  Mellitus  and  Renal  Impairment.  

Thomas  MC1,  PaldániusPM2,  AyyagariR3,  Ong  SH2,4,  Groop  PH5,6,7.  RESULTS:  Seven  trials  of  ≤52-­‐54  weeks  duraDon  were  retrieved,  which  included  one  study  each  on  vildaglip:n,  saxaglip:n,  and  sitaglip:n,  two  on  linaglip:n,  and  the  remaining  two  were  extension  studies  of  vildaglipDn  and  saxaglipDn.  Majority  of  paDents  were  on  insulin  at  baseline  (53-­‐86%),  except  in  the  sitaglipDn  study,  where  approximately  11%  received  insulin  during  the  placebo-­‐controlled  phase.    Aler  52  weeks,  vildaglipDn  and  saxaglipDn  reduced  HbA1c  levels  by  0.6-­‐0.7%  (baseline  7.8-­‐8.4%)  versus  placebo  in  the  overall  populaDon.  HbA1c  reducDons  were  similar  at  weeks  12  and  52.  In  the  12-­‐week,  placebo-­‐controlled  phase,  sitaglipDn  and  linaglipDn  reduced  mean  HbA1c  by  approximately  0.4%  (baseline  7.7-­‐8.1%)  versus  placebo.  Rates  of  HEs  with  DPP-­‐4  inhibitors  were  not  significantly  different  versus  placebo  in  any  study.    Rates  of  adverse  events  (AEs)  and  changes  involving  renal  funcDon  were  similar  in  the  acDve-­‐  and  placebo-­‐treated  groups.  CONCLUSION:  These  results  suggest  that  DPP-­‐4  inhibitors  have  the  poten&al  to  improve  glycemic  control  in  pa&ents  with  RI  without  increasing  the  risk  of  HEs  or  overall  AEs.  

   

Diabetes  Ther.  2016  Sep;7(3):439-­‐54.  doi:  10.1007/s13300-­‐016-­‐0189-­‐4.  Epub  2016  Aug  8.  

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   TFGb  

Groop  P-­‐H,  et  al.  Diab  Vasc  Dis  Res.2015;  pii:  1479164115579002  

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DPP-­‐4  inhibitors  and  renal  outcomes:  overview  of  completed  and  ongoing  trials    

Please  note  that  each  flag  is  hyperlinked  to  the  corresponding  study  slide  *No  compleDon  dates  available  Dates  indicate  study  compleDon  or,  when  available,  primary  compleDon  

13  

2010   2016   2017  

Company-­‐sponsored   InvesDgator-­‐sponsored   Has  published  results  

2011  

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SitaglipDn  

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Study  populaDons  

*e.g.  mesormin,  glinide  or  α-­‐glucosidase  inhibitor;  †Data  available  for  per  protocol  populaDon  (N=277)  OAD,  oral  anD-­‐diabeDc  1.  Green  JB  et  al.  N  Engl  J  Med  2015;373:232;  2.  Hawori  S  et  al.  Endocr  J  2011;58:69;  3.  Katsuno  T  et  al.  Endocr  J  2013;60:733;  4.  Mori  H  et  al.  J  Diabetes  Invest  2014;5:313;  5.  Arjona  Ferreira  JC  et  al.  Diabetes  Care  2013;36:3460067;    6.  Harashima  SI  et  al.  Int  J  Clin  Pract  2012;66:465  

15  

Sitaglip:n  

Study   N   Comparator  

TECOS1   14,671   Placebo  

Hawori  et  al2   36   None  

Katsuno  et  al3   71   None  

Mori  et  al4   85   OADs*  

Arjona  Ferreira  et  al5   423   Glipizide  

Harashima  et  al6   82   None  

67,9  

22,3  

9,8  

TECOS  Caucasian   Asian   Other  

100  (Japan)  

HaZori  

100  (Japan)  

Mori  

100  (Japan)  

Katsuno  

100  (Japan)  

Harashima  

29,6  

53,3  

17,1  

Arjona  Ferreira†  

Trial  Evaluate  Outcomes  Sitag    

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Study   Popula:on   Baseline   At  endpoint   Significance  TECOS1  UACR,  median  mg/gCr  (range)    

Mixed   10.3  (3.5,  34.6)  Month  48:  Change:  

–1.06  (–1.94,  –0.09)2  p=0.0342  

Hawori  et  al3  UACR,  mean  mg/gCr  ±  SD  

Japanese  

 Normo  (n=13):  11.6±8.4    Micro  (n=11):  98.4±79    Macro  (n=6):  1263±492  

 

Month  6:  4.5±5.0  24.9±20  561±89  

Overall:  –20.6±24.6    

 p=0.0012  p=0.0152  p=0.0211  p=0.0014  

Katsuno  et  al4  Glycoalbumin,  mean  %  ±  SE  

Japanese   p<0.001  

Albuminuria  (1/2)  

*p<0.01  vs  Week  0  N/A,  not  applicable;  NR,  not  reported;  SD,  standard  deviaDon;  SE,  standard  error  1.  Green  JB  et  al.  N  Engl  J  Med  2015;373:232;  2.  Penno  G  et  al.  Nutr  Metab  Cardiovasc  Dis  2016;26:361;  3.  Hawori  S  et  al.  Endocr  J  2011;58:69;  4.  Katsuno  T  et  al.  Endocr  J  2013;60:733  

16  

Sitaglip:n  

18  18,5  19  

19,5  20  

20,5  21  

21,5  22  

22,5  23  

0   4   8   12  

Glycoalbu

min,  m

ean  %  ±  SE  

Week    

p<0.001  for  whole  curve  

*  *  *  

X

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eGFR  (mL/min/1.73  m2)  (1/2)  

NS,  not  significant  *MDRD  formula  1.  Green  JB  et  al.  N  Engl  J  Med  2015;373:232;  2.  Hawori  S  et  al.  Endocr  J  2011;58:69;    3.  Katsuno  T  et  al.  Endocr  J  2013;60:733  

17  

Sitaglip:n  

Study   Popula:on   Baseline   At  endpoint   Significance  

TECOS1  Mean  ±  SD*   Mixed   74.9±21.3   Month  48:  

Change:  −4.0±18.4     NR  

Hawori  et  al2  Mean  ±  SD   Japanese   73.3±16.3   Month  6:  

77.0±19.4    NS  

Katsuno  et  al3   Japanese   NR  

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Diabetes  Care  2016  Nov;  39(11):  2042-­‐2050.  hwps://doi.org/10.2337/dc16-­‐1371  

To  invesDgate  the  effects  of  sitaglipDn  or  liragluDde  on  renal  hemodynamics,  tubular  func:ons,  and  markers  of  renal  damage  in  overweight  paDents  with  type  2  diabetes  without  chronic  kidney  disease  (CKD).            

CONCLUSIONS  Twelve-­‐week  treatment  with  sitaglipDn  or  liragluDde  does  not  affect  measured  renal  hemodynamics.  No  sustained  changes  in  tubular  func:ons  or  altera:on  in  renal  damage  markers  were  observed.  The  validity  and  clinical  relevance  of  the  slight  sitaglipDn-­‐induced  PGLO  reducDon  remains  speculaDve.  

 RESULTS  At  week  12,  GFR  was  not  affected  by  sitaglipDn  (−6  mL/min/1.73  m2  [95%  CI  −14  to  3],  P  =  0.17)  or  liragluDde  (+3  mL/min/1.73  m2  [−5  to  11],  P  =  0.46),  compared  with  placebo.    SitaglipDn  modestly  reduced  esDmated  glomerular  hydraulic  pressure  (PGLO;  P  =  0.043).  ERPF,  other  intrarenal    hemodynamic  variables,  renal  damage  markers,  and  PRC  did  not  change  for  both  treatments.  Both  agents  reduced  HbA1c.  Only  at  week  2,  sitaglipDn  increased  FENa  and  FEU  (P  =  0.005).  

Renal  Effects  of  DPP-­‐4  Inhibitor  Sitaglip:n  or  GLP-­‐1  Receptor  Agonist  Liraglu:de  in  Overweight  Pa:ents  With  Type  2  Diabetes:  A  12-­‐Week,  Randomized,  Double-­‐

Blind,  Placebo-­‐Controlled  Trial.  LTonneijck,  MM  Smits,  MHA.Muskiet  Hoekstra,  MHH.Kramer,  AH  Jan  Danser,  P  M.  ter  

Wee,  MDiamant  JA.Joles  and  DH.  van  Raalte      

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AloglipDn  

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Study  populaDons  

1.  White  WB  et  al.  New  Engl  J  Med  2013;369:1327;  2.  Sakata  K  et  al.  Diabetes  Metab  Res  Rev  2013;29:624  

20  

Aloglip:n  

Study   N   Comparator  

EXAMINE1   5380   Placebo  

Sakata  et  al2   61   None  72,7  

20,2  

7,1  

EXAMINE  

Caucasian   Asian   Other  

100  (Japan)  

Sakata  

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Albuminuria  

1.  White  WB  et  al.  New  Engl  J  Med  2013;369:1327;  2.  Sakata  K  et  al.  Diabetes  Metab  Res  Rev  2013;29:624  

21  

Aloglip:n  

Study   Popula:on   Baseline   At  endpoint   Significance  

EXAMINE1   Mixed   NR  

Sakata  et  al2  Median  mg/gCr  (range)  

Japanese  

 31.6  (6.8–145.7)  

 26.5  (5.6–125.1)  

 p=0.04  

 26.7  (6.1–116.1)  

 22.3  (5.7–86.9)  

 p=0.23  

All  pa:ents  

Aloglip:n  monotherapy  (n=26)  

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eGFR  (ml/min/1.73  m2)  

*MDRD  formula  1.  White  WB  et  al.  New  Engl  J  Med  2013;369:1327  (Suppl);  2.  Sakata  K  et  al.  Diabetes  Metab  Res  Rev  2013;29:624  

22  

Aloglip:n  

Study   Popula:on   Baseline   At  endpoint   Significance  

EXAMINE1  Mean  change  from  baseline*  

Mixed  

≥90:  60–89:  31–59:  

<30:  

104.8  74.6  48.5  22.6  

≥90:  60–89:  31–59:  

<30:  

–6.7  0.6  1.1  0.2  

NR  

Sakata  et  al2  Mean  ±  SD   Japanese  

 75.6±19.2  

 72.7±18.2  

 p=0.01  

 71.2±14.5  

 69.0±13.2  

 p=0.21  

All  pa:ents  

Aloglip:n  monotherapy  (n=26)  

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SitaglipDn/aloglipDn  crossover  

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Study  populaDon  

Fujita  H  et  al.  Clin  J  Am  Soc  Nephrol  2014;9:64   24  

Sitaglip:n/Aloglip:n  crossover  

Study   N   Comparator  

Fujita  et  al   12   Crossover  study   100  (Japan)  

Asian  

SitaglipDn  Week  –4   AloglipDn  Week  

0   SitaglipDn  Week  4    

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Albuminuria,  eGFR,  HbA1c  

Fujita  H  et  al.  Clin  J  Am  Soc  Nephrol  2014;9:64   25  

Sitaglip:n/Aloglip:n  crossover  

Fujita  et  al  

Baseline   At  endpoint   Significance  

UACR  mg/gCr    

Microalbuminuria  (30–300  mg/g)  

Sita→Alo:  p<0.01  Alo→Sita:  NS  

eGFR  ml/min/1.73  m2  

Mean  ±  SD  66.2±9.3   NS  

HbA1c,  %  Mean  ±  SD   7.0±0.4   NS  

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VildaglipDn  

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Study  populaDon  

1.  Tani  S  et  al.  Am  J  Cardiovasc  Drugs  2013;13:443;  2.  Hong  AR  et  al.  Diabetes  Res  Clin  Pract  2015;109:141  

27  

Vildaglip:n  

Study   N   Comparator  

Tani  et  al1   47   None  

VISUAL2   344   SU    (dose  increasing)  

100  (Japan)  

Tani  

Asian  

100  (Korea)  

VISUAL  

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Albuminuria  

*Not  significant  vs  comparator  (SU  dose-­‐increasing)  1.  Tani  S  et  al.  Am  J  Cardiovasc  Drugs  2013;13:443;  2.  Hong  AR  et  al.  Diabetes  Res  Clin  Pract  2015;109:141  

28  

Vildaglip:n  

Study   Popula:on   Baseline   At  endpoint   Significance  

Tani  et  al1  UACR,  median  mg/gCr  (range)    

Japanese   27.0  (17.3,  67.8)   Week  8:  15.0  (9.1,  60.0)   p<0.0001  

VISUAL2  Log  UACR,  mg/gCr  Mean  ±  SE  

Korean   2.8±1.5   Week  24:  2.9±1.5   NR*  

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eGFR  (mL/min/1.73  m2)  

*MDRD  formula  1.  Tani  S  et  al.  Am  J  Cardiovasc  Drugs  2013;13:443;  2.  Hong  AR  et  al.  Diabetes  Res  Clin  Pract  2015;109:141  

29  

Vildaglip:n  

Study   Popula:on   Baseline   At  endpoint   Significance  

Tani  et  al1  Mean  ±  SD*   Japanese   69.0±12.5   Week  8:  

69.3±13.2   p=0.748  

VISUAL2   Korean   NR  

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SaxaglipDn  

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Study  populaDon  

Mosenzon  O  et  al.  Diabet  Met  Res  Rev  2013;29:417   31  

Saxaglip:n  

Study   N   Comparator  

*SAVOR-­‐TIMI  53   16,496   Placebo   74,8  

10,7  

14,5  Caucasian  

Asian  

Other  

*SaxaglipDn  Assessment  Vascular  Outcomes  Recorded  Thrombolysis  In  Myoc.  InfacDon  

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Albuminuria,  eGFR,  HbA1c  

*Significant  vs  placebo  (p<0.001);  †MDRD  formula  Scirica  BM  et  al.  New  Engl  J  Med  2013;369:1317  

32  

Saxaglip:n  

SAVOR-­‐TIMI  53  

Baseline   At  Year  1   Significance  

UACR  mg/mmol  Cr  

Median  (range)  1.8  (0.7–7.5)   NR*  

eGFR  ml/min/1.73  m2  

Mean  ±  SD†  72.5±22.6   NR   N/A  

HbA1c,  %  Mean  ±  SD   8.0±1.4   7.6±1.4   NR*  

X

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Summary  

•  In  SAVOR-­‐TIMI  53,  a  large  cardiovascular  outcomes  trial,  albuminuria  levels  remained  unchanged  in  the  majority  of  the  populaDon  (78.8%),  with  reducDons  and  elevaDons  reported  in  11.8%  and  9.4%  of  paDents,  respecDvely  –  eGFR  remained  generally  unchanged  

33  

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 Effect  of  Saxaglip:n  on  Renal  Outcomes  in  the  SAVOR-­‐TIMI  53  Trial.  

Mosenzon  O1,  Leibowitz  G2,  Bhaw  DL3,  et  al.    

Diabetes  Care.  2017  Jan;40(1):69-­‐76.  doi:  10.2337/dc16-­‐0621.  Epub  2016  Oct  17.      •  N=  16,492  paDents  with  DM-­‐2  followed  for  a  median  of  2.1  years    

•  RESULTS:    At  baseline    normoAlbª    9,696  (58.8%)        

                                                           micro  Albª                  4,426  (26.8%)            macroAlbª    1,638  (9.9%)  

•  Treatment  with  saxaglipDn  was  associated  with  improvement  in  and/or  less  deterioraDon  in  ACR  categories  from  baseline  to  end  of  trial  (P  =  0.021  normo,  P  <  0.001  micro    and  P  =  0.049  macroalbuminuria.  

•   At  2  years  mean  ACR  change  between  saxaglipDn  and  placebo  arms  was        -­‐  19.3  mg/g  (P  =  0.033)  for  eGFR  >50  mL/min/1.73  m2,  

   -­‐105  mg/g  (P  =  0.011)  for  50  ≥  eGFR  ≥  30  mL/min/BSA,      -­‐245.2  mg/g  (P  =  0.086)  for  eGFR  <30  mL/min/BSA.      ACR    reducDon    with  saxaglipDn    1  year,      P  <  0.0001                  2  years,  P  =  0.0143  

 The  change  in  eGFR  was  similar  in  the  saxaglipDn  and  placebo    Safety  renal  outcomes,  including  doubling  of  serum  creaDnine,  iniDaDon  of  chronic  dialysis,  renal  

transplantaDon,  or  serum  creaDnine  >6.0  mg/dL,  were  similar  as  well.  

 

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 Effect  of  Saxaglip:n  on  Renal  Outcomes  in  the  SAVOR-­‐TIMI  53  Trial.  

Mosenzon  O1,  Leibowitz  G2,  Bhaw  DL3,  et  al.    

Diabetes  Care.  2017  Jan;40(1):69-­‐76.  doi:  10.2337/dc16-­‐0621.  Epub  2016  Oct  17.      CONCLUSIONS:  

•  Treatment  with  saxaglipDn  improved  ACR,  even  in  the  normoalbuminuric  range,  without  affecDng  eGFR.    

•  The  beneficial  effect  of  saxaglipDn  on  albuminuria  could  not  be  explained  by  its  effect  on  glycemic  control.  

   

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LinaglipDn  

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Effect  of  linaglip:n  on  albuminuria:  pooled  analysis  

Groop  PH,  et  al.  Diabetes  Care.  2013;36:1–9.      

Effect of linagliptin on albuminuria on top of recommended standard treatment in patients with Type 2 Diabetes and

renal dysfunction

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Study  populaDons  

1.  Groop  P-­‐H  et  al.  Diabetes  Care  2013;36:3460;  2.  Cooper  ME  et  al.  Am  J  Kidney  Dis  2015;66:441  

39  

Linaglip:n  –  pooled  analyses  

Study   N  (Lina)   Comparator  

Groop  et  al1  (T2M  paDents  with  renal  dysfuncDon  at  BL)  

162   Placebo  

Cooper  et  al2  (Pooled  analysis  of  renal  endpoints)  

3505   Placebo  69,8  

25,9  

4,3  Groop  

64,2  

33,6  

2,2  Cooper  

Caucasian  Asian  Other  

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Phase  III  clinical  trials  included  in  the  pooled  analysis  

ClinicalTrials.gov registration number

Background treatment

Treatment groups Pooled analysis set Linagliptin Placebo n = 162 n = 55

NCT006211401 None Linagliptin: placebo 16 (9.9%) 10 (18.2%)

NCT007981612 None Linagliptin: placebo 10 (6.2%) 4 (7.3%)

NCT006012503 Metformin Linagliptin: placebo 47 (29.0%) 14 (25.5%)

NCT006024724 Metformin + sulphonylurea

Linagliptin: placebo 89 (54.9%) 27 (49.1%)

1.  Del  Prato  S,  et  al.  Diabetes  Obes  Metab.  2011;13:258–267;  2.  Haak T, et al. Diabetes Obes Metab. 2012;14:565–574. data from other treatment groups (metformin, linagliptin + metformin) were not included in this analysis; 3.  Taskinen  MR,  et  al.  Diabetes  Obes  Metab.  2011;13:65–74;  4.  Owens  DR,  et  al.  Diabet  Med.  2011;28:1352–1361.  

 Source:  Groop  PH,  et  al.  Diabetes  Care.  2013;36:1–9.    

All four Phase III trials: •  Assessed safety and efficacy of linagliptin in patients with T2D •  Were randomized, double-blind, placebo-controlled •  Had identical study duration, primary endpoint definition and safety

assessments

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Study  design:  paDent  inclusion  and  analysis  endpoint  

*For  at  least  4  weeks  prior  to  study  conduct  and  from  baseline  to  date  of  last    UACR  on-­‐treatment  measurement  within  the  24-­‐week  treatment  period.  

Groop  PH,  et  al.  Diabetes  Care.  2013;36:1–9.    

Placebo n = 55

Linagliptin n = 162

Baseline: •  30 <UACR ≤3,000 mg/g Cr •  eGFR ≥30 mL/min per 1.73 m2

n = 564

Pooled analysis set with stable ACE inhibitor/ARB therapy*

n = 217

Pooled population n = 2,472

Excluded (n = 1,908) •  Baseline UACR ≤30 mg/g Cr •  Baseline UACR >3,000 mg/g Cr •  Baseline eGFR <30 •  Missing UACR value

Excluded (n = 347) •  No ACE inhibitor/ARB therapy at baseline •  Unstable ACE inhibitor/ARB therapy

Primary endpoint: Percentage change in geometric mean UACR from baseline to Week 24

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Percentage  change  in  UACR  

 *p  <  0.05  versus  baseline.  

†Adjusted  for  baseline  UACR  and  trial  effect;  ‡Median  UACR  at  baseline  were:  linaglipDn  73.8  (30.1–2534.4)  mg/g  Cr;  placebo  80.5  (30.9–1538.2)  mg/g  Cr.  Groop  PH,  et  al.  Diabetes  Care.  2013;36:1–9.    

-6 -6 -29* -32* -60

-40

-20

0

20

40 Placebo Linagliptin

Week 12 Week 24‡

Percentage change in UACR from baseline to 12 and 24 weeks Adjusted† geometric mean (95% CI)

55 n 170 56 162

Linagliptin placebo-corrected: -25% (95% CI -46 to 3), p = 0.0750

Linagliptin placebo-corrected: -28% (95% CI -47 to -2), p = 0.0357

•  After 24 weeks, the percentage change in UACR from baseline was significantly higher with linagliptin compared with placebo; change in UACR was independent of glucose lowering effects

•  The magnitude of the albuminuria-lowering effect of linagliptin was seen after 12 weeks of treatment

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Change  in  UACR  by  HbA1c  reducDon  

 *Adjusted  for  baseline  UACR  and  trial  effect.  Groop  PH,  et  al.  Diabetes  Care.  2013;36:1–9.    

-32 -36

-26 -33

-60

-50

-40

-30

-20

-10

0

Adjusted* geometric mean percentage change in UACR by quartiles of HbA1c reduction in the linagliptin group

Perc

enta

ge c

hang

e in

UA

CR

fr

om b

asel

ine

to W

eek

24

(mea

n, 9

5% C

I)

Quartiles of HbA1c reduction from baseline to Week 24 (%) <0.10 n = 37

0.10–0.59 n = 41

0.60–0.99 n = 37

≥1.0 n = 47

Percentage changes in UACR for linagliptin across quartiles of HbA1c reduction were not statistically significantly different

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Change  in  UACR  by  SBP  change  

 *Adjusted  for  baseline  UACR  and  trial  effect.  Groop  PH,  et  al.  Diabetes  Care.  2013;36:1–9.    

-35 -13

-35 -60 -50 -40 -30 -20 -10

0 10 20 30 40

Adjusted* geometric mean percentage change in UACR by categories of SBP change in the linagliptin group

Perc

enta

ge c

hang

e in

UA

CR

fr

om b

asel

ine

to W

eek

24

(mea

n, 9

5% C

I)

SBP change from baseline to last value on treatment (mmHg) Increase >1 mmHg

n = 66

Stable ± 1 mmHg

n = 25

Decrease >1 mmHg

n = 71

Percentage changes in UACR for linagliptin across categories of SBP change were not statistically significantly different

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Albuminuria  

1.  Groop  P-­‐H  et  al.  Diabetes  Care  2013;36:3460;  2.  Cooper  ME  et  al.  Am  J  Kidney  Dis  2015;66:441  

45  

Linaglip:n  –  pooled  analyses  

Study   Popula:on   Baseline   At  endpoint  (W  24)   Significance  

Groop  et  al1  UACR,  median  mg/gCr  (range)    

Mixed   73.8  (30.1–2534.4)   NR  

Cooper  et  al2  UACR,  mean  mg/gCr  ±  SE  

Mixed   311.7±26.2   Change:  –17.0  mg/g  ±21.3  

-­‐60   -­‐40   -­‐20   0   20   40  Reduc:on  in  UACR   Increase  in  UACR  

Linaglip:n  beZer   Placebo  beZer  p-­‐value  

Change  in  UACR  from  baseline   0.0357  

Placebo  corrected  change  in  UACR  

White  paDents  

Asian  paDents  

Mean  baseline  HbA1c  <8.25%  

Mean  baseline  HbA1c    ≥8.25%  

X

0,1   1   10  Favours  linaglip:n   Favours  placebo  

p-­‐value   N  of  pa:ents  with  events    

Overall  popula:on   0.02   754  Age  <65     0.003   510  ≥65   0.9   244  

Race  White   0.04   487  Asian   0.5   251  Black   0.4   16  

Without  ACEi/ARB   0.06   373  With  ACEi/ARB   0.1   381  

X

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Conclusion  

§  LinaglipDn  significantly  reduced  albuminuria  from  baseline  by  28%  compared  with  placebo  aler  24  weeks  of  treatment  –  The  magnitude  of  effect  was  seen  aler  12  weeks  of  treatment    

§  Albuminuria-­‐lowering  effect  of  linaglipDn  was  consistently  found  in  relevant  paDent  subgroups  (e.g.,  categorized  by  race,  baseline  HbA1c  and  baseline  SBP)  

§  Neither  changes  in  blood  pressure  nor  in  HbA1c  influenced  the  albuminuria-­‐lowering    effect  of  linaglipDn  

§  This  analysis  suggests  that  linaglipDn  may  have  direct  effects  on  the  kidney  in  T2D,  warranDng  prospecDve  trials  to  test  this  hypothesis  

Groop  PH,  et  al.  Diabetes  Care.  2013;36:1–9.    

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LinaglipDn  and  albuminuria  effect  beyond  glycaemic  control  

Source:  Groop  P-­‐H,  et  al.  Diab  Vasc  Dis  Res.2015;  pii:  1479164115579002  

Dipeptidyl peptidase-4 inhibition with linagliptin and effects on hyperglycemia and albuminuria in patients

with Type 2 Diabetes and renal dysfunction: Rationale and design of the MARLINA–T2D™ trial

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Study  populaDon  

Groop  P-­‐H  et  al.  ADA  76th  ScienDfic  Sessions  2016.  Poster  17-­‐LB      

48  

Linaglip:n:  MARLINA-­‐T2D™  

Study   N   Comparator  

MARLINA-­‐T2D™   360   Placebo  

30,3  

66,4  

3,3  

Caucasian  

Asian  

Other  

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Study  design    

BMI,  body  mass  index;  Cr,  creaDnine;  EOT,  end  of  treatment;  HbA1c,  glycosylated  haemoglobin;  OAD,  oral  anD-­‐diabetes    drug;  RAAS,  renin-­‐angiotensin-­‐aldosterone  system;  SGLT2,  sodium  glucose  cotransporter  2  ;  T2D,  Type  2  Diabetes;    

UACR,  urinary  albumin-­‐to-­‐creaDnine  raDo.  *RandomisaDon  straDfied  by  HbA1c  level  (<  8.5%  vs  ≥  8.5%)  at  screening  and  UACR  level  (<  300  mg/g  Cr  vs  ≥  300  mg/g  Cr)  

at  start  of  run-­‐in  period.  †Based  on  ModificaDon  of  Diet  in  Renal  Disease  formula  at  screening  (Day  –14).  Source:  Groop  P-­‐H,  et  al.  Diab  Vasc  Dis  Res.2015;  pii:  1479164115579002  

Screening Placebo run-in period

Linagliptin 5 mg once daily Plus background therapy

Placebo once daily Plus background therapy

Study week -3

Day -14

Follo

w-u

p

EOT+4

Exclusion criteria •  Non-diabetic renal disease •  Mealtime insulin use •  Dual/triple RAAS blockade •  Previous exposure to DPP4 inhibitors,

GLP1 receptor agonists or SGLT2 inhibitors

Visit 1 Visit 2 Visit 3

-2 Day -1

Visit 8

0

Visit 3.1 1:1 Randomisation*

24

Visit 7 EOT

6

Visit 4

12

Visit 5

18

Visit 6

The MARLINA–T2D™ study  

Inclusion criteria •  HbA1c 6.5–10.0% •  Renal dysfunction •  Age 18–80 years •  BMI ≤ 40 kg/m2 •  Treatment-naïve or treated with 1–2 OADs and/or basal insulin

NOT EXHAUSTIVE

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Albuminuria,  eGFR,  HbA1c  

*CKD-­‐EPI  formula  gCV,  geometric  coefficients  of  variaDon;  gMean,  geometric  mean  Groop  P-­‐H  et  al.  ADA  76th  ScienDfic  Sessions  2016.  Poster  17-­‐LB      

50  

Linaglip:n:  MARLINA-­‐T2D™  

MARLINA-­‐T2D™  

Baseline   At  Week  24   Significance  

UACR  mg/gCr  

gMean  (gCV)  126.1  (159.4)   p=0.1954  

eGFR  (cysta:n  C)  ml/min/1.73  m2  

Mean  ±  SD*  98.7  ±  46.8   N/A  

HbA1c,  %  Mean  ±  SE   7.84  ±  0.88   p<0.0001  

0,6  

0,7  

0,8  

0,9  

1,0  

1,1  

0   6   12   18   24  

Adjusted

 gMean  Ra

Do  (9

5%  CI)  

 

Week  

Placebo  (n=173)  (gMean  baseline  UACR:  132.2  mg/gCr)    

X

-­‐10,0  

-­‐5,0  

0,0  

5,0  

0   6   12   18   24  

Adjusted

 mean  (SE)  change  from

 baseline  in  eGF

R  (CKD

-­‐EPI,  cystaDn

 C)  

(mL/min/1.73  m

2 )    

 

Week  

Placebo  (n=173)  (mean  baseline  eGFR:  93.8  mL/min/1.73  m  )    

2  

2  

X

-­‐0,8  

-­‐0,6  

-­‐0,4  

-­‐0,2  

0  

0,2  

Adjusted

 mean  (SE)  cha

nge  from

 ba

selin

e  in  HbA

1c  (%

)  

Mean  baseline   7.79   7.87  

p<0.0001  

n   172   171  

-­‐0.03  

-­‐0.63   -­‐0.60  

LinaglipDn  

Placebo  

Placebo-­‐adjusted  

X

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 Linaglip:n  and  its  effects  on  hyperglycaemia  and  albuminuria  in  pa:ents  with  type  2  diabetes  and  renal  dysfunc:on:  the  randomized  MARLINA-­‐T2D  trial.  

Groop  PH1,2,3,  Cooper  ME3,  Perkovic  V4,  Hocher  B5,6,7,  Kanasaki  K8,9,  Haneda  M10,  et  

al.  .  Diabetes  Obes  Metab.  2017  Nov;19(11):1610-­‐1619.  doi:  10.1111/dom.13041.  Epub  2017  Jul  31.      Baseline      x  HbA1c  and  7.8% ± 0.9%  (62.2 ± 9.6 mmol/mol)    

     x  geometric  UACR  126 mg/g    73.7%    of  parDcipants  had  microAlbª  20.3%    of  parDcipants  had  macroAlbª    Aler  24 weeks,  the  placebo-­‐adjusted  x  change  in  HbA1c  from  baseline  was    P < .0001).    

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Efectos  de  la  linaglipDna  sobre  el  control  glucémico  y  la  albuminuria  en  la  DM2  (  estudio  MARLINA)  

Cambios  en  albuminuria  

DM  Dpo  2,  HbA1c:  6-­‐10%,  IMC  <  40,  FG  >  30,  ACR;  30-­‐3000  mg/g  24  semanas  de  duración  End  point  1º:  cambios  en  HbA1c,  End  point  2º:  cambios  en  albuminuria  

 Groop  PH1,2,3  et  al.  .  Diabetes  Obes  Metab.  2017  Nov;19(11):1610-­‐1619.  doi:  10.1111/dom.13041.  Epub  2017  Jul  31.    

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Estudio  MARLINA:      Cambios  desde  la  base  en  la  albuminuria  en  los  disDntos  grupos  a  las  24  semanas  

Groop PH1,2,3 et al. . Diabetes Obes Metab. 2017 Nov;19(11):1610-1619. doi: 10.1111/dom.13041. Epub 2017 Jul 31.

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Summary  •  Pooled  analyses  of  phase  III  studies  show  that  linaglipDn  

significantly  reduces  new  onset  of  moderately  elevated  albuminuria  by  18%  

•  In  MARLINA-­‐T2D™  (N=360),  linaglipDn  significantly  improved  glycaemic  control  but  did  not  significantly  lower  albuminuria.  There  was  no  significant  change    in  placebo-­‐adjusted  eGFR.  

•  DetecDon  of  clinically  relevant  renal  effects  of  linaglipDn  may  require  longer  treatment,  as  its  main  experimental  effects  in  animal  studies  have  been  to  reduce  intersDDal  fibrosis  rather  than  alter  glomerular  haemodynamics..  

•  The  ongoing  CARMELINA®  trial  is  invesDgaDng  cardiovascular  and  renal  outcomes  with  linaglipDn  in  paDents  with  T2D  and  advanced  CKD  

54  

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Summary  of  albuminuria  changes  with  DPP-­‐4  inhibitors    

55  

Sitaglip:n  TECOS  (N=14,671,  mixed  popula:on):  Marginally  improved  UACR  values  with  sitaglipDn  

compared  with  placebo  (-­‐1.0  mg/g  creaDnine)  in  the  subset  of  3669  paDents  with  data  available  

Aloglip:n  No  effect  as  monotherapy  (Japanese  paDents).  Data  are  limited,  but  consistent  

Vildaglip:n  No  effect  in  the  study  examined  (Korean  paDents).  Data  are  limited,  but  consistent  

Saxaglip:n  SAVOR-­‐TIMI  (N=16,492,  mixed  popula:on;    2-­‐years  data  based  on  N=6,553):    

Reduced  UACR  in  11.1%    and  unchanged  UACR  in  76.0%  of  paDents.  Exploratory  analysis  

Linaglip:n  Reduced  in  two  pooled  analyses  with  mixed  populaDons  

No  significant  changes  in  the  dedicated  MARLINA-­‐T2D™  trial  (2/3  of  paDents  of  Asian  descent)  

DPP-­‐4i,  dipepDdyl  pepDdase-­‐4  inhibitor  Penno  G  et  al.  Nutr  Metab  Cardiovasc  Dis  2016;26:361  

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N=213  ≥30  years  of  age  with  T2D  and  moderate  or  severe  chronic  renal  insufficiency/ESRD;    HbA1c:  7–10%  (no  glucose-­‐lowering  therapy);  6.5–9%  (1  glucose-­‐lowering  agent);    7.5–10%  (+  FPG  >130  mg/dl  with  insulin)  

Randomised,  double  blind,  parallel  assignment,  safety/efficacy  

Global  

Merck  Sharp  &  Dohme  

Prior  treatment:  single  oral  glucose-­‐lowering    agents  or  low-­‐dose  dual  oral  combinaDon    Comparator:  placebo  

Primary:  change  from  BL  in  HbA1c  at  Week  24;  proporDon  of  paDents  who  experienced  ≥1  AE;  proporDon  of  paDents  who  disconDnued  the  study  due  to  an  AE  Secondary:  change  from  BL  in  FPG  (Week  24  and  54)  and  HbA1c  (Week  54);  eGFR  (Week  24  and  54)  

FPG,  fasDng  plasma  glucose  Study  NCT01698775.  hwps://clinicaltrials.gov/ct2/show/NCT01698775  (Accessed  April  2016)  

Omariglip:n:  phase  III  study  in  paDents  with  CKD  or  kidney  failure  on  dialysis    

Oct  2012   Jan  2016  NCT01698775  

56  

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N=88  20–70  years  of  age  with  T2D;  HbA1c  7–9%;  24  h  UAE  30–300mg  

Randomised,  open  label,  parallel  assignment,  efficacy  

China  

The  Second  Hospital  of  Nanjing  Medical  University  

Prior  treatment:  stable  mesormin  (1000–2550  mg/day)  or  acarbose  (100–300  mg/day)  for  ≥  60  days  Comparator:  glimepiride  

Primary:  microalbuminuria  improvement  at  Week  52  Secondary:  incidence  of  hypoglycaemia  at  Week  52  

Study  NCT02462369.  hwps://clinicaltrials.gov/ct2/show/NCT02462369  (Accessed  April  2016)  

Saxaglip:n:  phase  IV  study  on  microalbuminuria  improvements  

Jun  2015   Oct  2017  Apr  2017  NCT02462369  

57  

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N=129  ≥30  years  of  age  with  T2D  and  on  dialysis;  HbA1c  7–9%  

Randomised,  double  blind,  parallel  assignment,  safety/efficacy  

Global  

Merck  Sharp  &  Dohme  

Prior  treatment:  N/A  Comparator:  glipizide  

Primary:  change  from  BL  in  HbA1c  at  Week  54;  number  of  paDents  with  clinical  AEs  Secondary:  number  of  paDents  with  symptomaDc  hypoglycaemic  AEs  (Week  54  +  28  days);  change  from  BL  in  FPG;  change  from  BL  in  HbA1c  

Study  NCT00509236.  hwps://clinicaltrials.gov/ct2/show/NCT00509236  (Accessed  April  2016);    Arjona-­‐Ferreira  JC  et  al.  Am  J  Kidney  Dis  2013;61:579  

Sitaglip:n:  phase  III  study  in  paDents  with  end-­‐stage  renal  disease  

NCT00509236   Oct  2007   Mar  2011   ü  

58  

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N=556  ≥25  years  of  age  with  T2D,  mild  renal  impairment,  and  inadequate  glycaemic  control  on  mesormin  

Randomised,  double  blind,  parallel  assignment,  safety/efficacy  

Global  (excluding  Japan)  

Merck  Sharp  &  Dohme  

Prior  treatment:  mesormin  monotherapy  ≥1500  mg/day  for  ≥8  weeks  Comparator:  dapagliflozin  

Primary:  change  from  BL  in  HbA1c  at  Week  24;  number  of  paDents  who  experienced  ≥1  AE;    number  of  paDents  who  disconDnued  the  study  due  to  an  AE  Secondary:  change  in  incremental  2-­‐hour  PPGE;  change  in  2-­‐hour  PPG;  change  in  post-­‐prandial  glucagon  AUC;  change  in  post-­‐prandial  insulin  AUC;  change  in  post-­‐prandial  insulin  AUC  to  glucagon  AUC  raDo,  proporDon  of  paDents  with  HbA1c  <7%;  change  in  FPG;  all  endpoints  at  Week  24  

AUC,  area  under  the  curve;  PPG,  post-­‐prandial  glucose;  PPGE,  post-­‐prandial  glucose  excursion  Study  NCT02532855.  hwps://clinicaltrials.gov/ct2/show/NCT02532855  (Accessed  April  2016)  

Sitaglip:n:  phase  III  study  in  paDents  with  mild  renal  impairment  

Oct  2015   May  2017  NCT02532855  

59  

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N=32  18–70  years  of  age  with  T2D;  HbA1c  6.5–9%;  SBP  120–160  mmHg  

Randomised,  double  blind,  parallel  assignment  

Canada  

Merck  Sharp  &  Dohme  and  University  Health  Network,  Toronto    

Prior  treatment:  N/A  Comparator:  placebo  

Primary:  fracDonal  sodium  excreDon  3  hours  aler  single  dose  and  at  Day  28  Secondary:  eGFR,  ERPF,  FF,  RBF,  RVR,  plasma  volume,  plasma  neurohormones,  urinary  vasoacDve  mediators,  markers  of  free  radical  stress,  site  of  tubular  sodium  excreDon.  All  3  hours  aler  single  dose  and  at  Day  28  Other:  glycaemic  control;  blood  cholesterol;  albumin:creaDnine  raDo    

SBP,  systolic  blood  pressure    Study  NCT02406443.  hwps://clinicaltrials.gov/ct2/show/NCT02406443  (Accessed  April  2016)  

Sitaglip:n:  phase  IV  study  on  outcomes  on  renal  sodium  excreDon  (INDORSE)  

Mar  2015   Dec  2016  Jun  2016  NCT02406443  

60  

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N=110  18–75  years  of  age  with  T2D;  HbA1c  7–9%,  BP  <145/90  mmHg  on  treatment  with  ACEi  or  ARB  for  >3  months;  UACR  30–299  mg/dl;  eGFR  ≥60  ml/min/1.73  m2  

Randomised,  double  blind,  parallel  assignment,  efficacy  

US  

Merck  Sharp  &  Dohme  and  University  of  Missouri-­‐Columbia    

Prior  treatment:  ACEi  or  ARB  Comparator:  placebo  

Primary:  decrease  in  microalbuminuria  levels  at  Month  6  Secondary:  none  

*Recruitment  status  of  this  study  is  unknown  because  the  informaDon  has  not  been  verified  recently  (last  Jan  2014)  Study  NCT02048904.  hwps://clinicaltrials.gov/ct2/show/NCT02048904  (Accessed  April  2016)  

Sitaglip:n:  phase  IV  study  on  UACR  in  paDents  with  overt  kidney  disease  

Jan  2014   ???*  Jan  2016  NCT02048904  

61  

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N=70  Caucasian,  35–75  years  of  age  with  T2D;  HbA1c  6.5–9%;  BMI  25–40  kg/m2  

Randomised,  double  blind,  parallel  assignment,  safety  

The  Netherlands    

VU  University  Medical  Center  &  EU  FP7:  SAFEGUARD  consorDum  

Prior  treatment:  stable  dose  of  oral  glucose-­‐lowering  agents  (either  mesormin  alone,  SU  alone  or  a  combinaDon  of  mesormin  and  SU)  for  ≥3  months    Comparator:  placebo*  

Primary:  changes  from  BL  with  GLP-­‐1RA  (acute  effects  and  at  Week  12)  or  sitaglipDn  (Week  12)  in  pancreaDc  exocrine  funcDon  Secondary:  effect  of  GLP-­‐1RA  (acute)  and  GLP-­‐1RA  or  DPP-­‐4i  (Week  12)  on:  CV  parameters;†    renal  parameters  (i.e.  ERPF,  renal  tubular  funcDon,  renal  damage);  and  gastrointesDnal  parameters†  

*The  agents  tested  are  not  compared  with  each  other;  †See  notes  for  detailed  list  of  CV  and  gastrointesDnal  outcomes  BMI,  body  mass  index;  GLP-­‐1RA,  glucagon-­‐like  pepDde-­‐1  receptor  agonist  Study  NCT01744236.  hwps://clinicaltrials.gov/ct2/show/NCT01744236  (Accessed  April  2016);  Smits  MM  et  al.  BMJ  Open  2015;5:e009579  

Sitaglip:n,  exenaDde,  or  liragluDde:    phase  IV  SAFEGUARD  study  

NCT01744236   Apr  2013   Aug  2015   ü  

62  

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N=148  18–85  years  of  age  with  T2D  and  severe  renal  impairment,  not  undergoing  dialysis;    glucose  ≤270  mg/dl  (≤15  mmol/l)  

Randomised,  double  blind,  parallel  assignment,  safety  

US  

NovarDs  

Prior  treatment:  N/A  Comparator:  sitaglipDn  

Primary:  safety  and  tolerability  in  paDents  with  T2D  and  severe  renal  impairment  (Week  24)  Secondary:  relaDonship  between  renal  funcDon  and  concentraDon  levels  of  vildaglipDn  and  its  metabolites  aler  repeated  administraDon  (Week  24)  Other:  HbA1c  and  FPG  reducDon  from  baseline  (Week  24)  

Study  NCT00616811.  hwps://clinicaltrials.gov/ct2/show/NCT00616811  (Accessed  April  2016);  Kothny  W  et  al.  Diabetologia  2015;58:2020  

Vildaglip:n:  phase  III  study  in  paDents  with  severe  renal  impairment  

NCT00616811   Jan  2008   Oct  2010   ü  

63  

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N=525  18–85  years  of  age  with  T2D  and  moderate  or  severe  renal  impairment;    glucose  ≤270  mg/dl  (≤15  mmol/l)  

Randomised,  double  blind,  parallel  assignment,  safety  

Global  (excluding  US,  China  and  Japan)  

NovarDs  

Prior  treatment:  N/A  Comparator:  placebo  

Primary:  safety  and  tolerability  in  paDents  with  T2D  and  moderate  or  severe  renal  impairment  (Week  24)  Secondary:  concentraDon  levels  of  vildaglipDn  and  its  metabolites  and  efficacy  of  vildaglipDn  in  the  invesDgated  populaDon;  both  at  Week  24  

Study  NCT00646542.  hwps://clinicaltrials.gov/ct2/show/NCT00646542  (Accessed  April  2016)  Kothny  W  et  al.  Diabetes  Obes  Metab  2012;14:1032  

Vildaglip:n:  phase  III  study  in  paDents  with  moderate  or  severe  renal  impairment  

NCT00646542   Mar  2005   Oct  2010   ü  

64  

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CARDIOVASCULAR  OUTCOME  TRIALS  

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CARMELINA®  Trial  Baseline  CharacterisDcs:  A  Cardiovascular  and  Renal  Outcome  Trial  With  LinaglipDn  in  PaDents  With  Type  2  Diabetes  at  High  Vascular  Risk    

PublicaDon  Summary  Slides:  ADA  2017  poster  

Source:  Rosenstock  J.,  et  al.  ADA  2017,  Poster  1284-­‐P  

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CARMELINA®  trial  design  

67  

LinaglipDn  5  mg/day  (in  addiDon  to  standard  of  care)  

Placebo  (in  addiDon  to  standard  of  care)  

RScreening  Visit  1  

R RandomizaDon  (1:1)  at  visit  2  (week  0)  

Week  −2  

Week  0  

Trial  conDnues  unDl  611    primary  outcome  events  accrue  

End  of    Treatment*  

+30  days  

Follow-­‐up  

§  The  protocol  also  encourages  the  invesDgators  and  paDents’  HCPs  to  treat  all  CV  risk  factors  (e.g.  lipid  levels,  blood  pressure,  albuminuria,  hyperglycaemia,  smoking)  according  to  an  opDmal  level  of  local/regional  standard  of  care    

CV,  cardiovascular;  HCP,  healthcare  provider.  *PaDents  who  stop  treatment  early  are  observed  unDl  study  end  (not  just  unDl  their  treatment  stop  +  30  days).  Source:  Rosenstock  J.,  et  al.  ADA  2017,  Poster  1284-­‐P  

§  MulD-­‐naDonal,  randomized,  double-­‐blind,  placebo-­‐controlled  clinical  trial  (ClinicalTrials.gov:  NCT01897532)  

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Key  inclusion  criteria  

68  

Patients wirisk of CV events defined asth documented diagnosis of T2DM at high :

Age ≥18 years HbA1c of ≥6.5% and ≤10.0%

BMI ≤45 kg/m2

and/or

Impaired  kidney  func:on  with  or  without  albuminuria  

•  eGFR:15−<45  mL/min/1.73  m2  

•  eGFR  ≥45−75  mL/min/1.73  m2  with  UACR  >200  mg/g  creaDnine  or  >200  mg/L  or  >200  μg/min  or  >200  mg/24  h  

Albuminuria  (UACR  >30  mg/g*)  and    previous  macrovascular  disease,    defined  as  ≥1  of  the  following:

•  Confirmed  history  of  MI  •  Advanced  CAD†  

•  High-­‐risk  single-­‐vessel  CAD  •  History  of  ischaemic  or  haemorrhagic  

stroke  •  Presence  of  caroDd  artery  disease  •  Presence  of  peripheral  artery  disease BMI,  body-­‐mass  index;  CAD,  coronary  artery  disease;  CT,  computed  tomography;  CV,  cardiovascular;  eGFR,  esDmated  glomerular  filtraDon  rate;  HbA1c,  glycated  haemoglobin  A1c;  MI,  myocardial  infarcDon;  MRI,  

magneDc  resonance  imaging;  T2DM,  type  2  diabetes;  UACR,  urinary  albumin-­‐to-­‐creaDnine  raDo.  *Albuminuria  was  also  defined  as  ≥30  μg  albumin/min  or  ≥30  mg  albumin/24  h.  †Any  1  of  the  following:  ≥50%  narrowing  of  the  luminal  diameter  in  ≥2  major  coronary  arteries  by  coronary  angiography,  MRI  

angiography  or  CT  angiography;  lel  main  stem  coronary  artery  with  ≥50%  narrowing  of  the  luminal  diameter  by  coronary  angiography,  MRI  angiography  or  CT  angiography;  prior  percutaneous  or  surgical  

revascularizaDon  of  ≥2  major  coronary  arteries  ≥2  months  prior  to  Visit  1  (screening);  the  combinaDon  of  prior  percutaneous  or  surgical  revascularizaDon  of  1  major  coronary  artery  ≥2  months  prior  to  Visit  1,  and  

≥50%  narrowing  of  the  luminal  diameter  by  coronary  angiography,  MRI  angiography  or  CT  angiography  of  ≥1  addiDonal  major  coronary  artery.  Source:  Rosenstock  J.,  et  al.  ADA  2017,  Poster  1284-­‐P  

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The  primary  endpoint  is  3P-­‐MACE:  i.e.,  the  Dme  to  first  occurrence  of  CV  death,  non-­‐fatal  MI  or  non-­‐fatal  stroke    

 The  key  secondary  endpoint  is  the  Dme  to  first  occurrence  of  kidney  death,  sustained  end-­‐stage  kidney  disease  or  sustained  decrease  of  ≥40%  in  eGFR          

 

Endpoints  

3P-­‐MACE,  3-­‐component  composite  endpoint  of  major  adverse  CV  events;  CV,  cardiovascular;  eGFR,  esDmated  glomerular  filtraDon  rate;  

HbA1c,  glycated  haemoglobin  A1c;  MI,  myocardial  infarcDon.  Source:  Rosenstock  J.,  et  al.  ADA  2017,  Poster  1284-­‐P   69  

§  All  CV  and  renal  events  are  adjudicated  by  an  independent  and  blinded  Clinical  Event  Commiwee  §  HospitalisaDon  for  heart  failure  is  an  adjudicated,  pre-­‐specified  endpoint  §  Glycaemia-­‐related  endpoints  include  change  from  baseline  in  levels  of  HbA1c  and  fasDng  plasma  glucose    

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H0(MACE)   H0(Kidney)  

TesDng  Hierarchy  3P-­‐MACE    

non  inferiority  

3P-­‐MACE       Kidney  Composite  

α=2.5%  one-­‐sided  

0.2α=0.5%  

0.8α=2.5%  

superiority  superiority  

3P-­‐MACE,  3-­‐component  composite  endpoint  of  major  adverse  CV  events  (cardiovascular  death,  nonfatal  myocardial  infarcDon  or  non-­‐fatal  stroke).  Source:  Rosenstock  J.,  et  al.  ADA  2017,  Poster  1284-­‐P  

Sequen:ally  rejec:ve  mul:ple  test  procedure:  §  First  is  a  non-­‐inferiority  test  of  linaglipDn  versus  placebo  for  3P-­‐MACE:  

§  if  non-­‐inferiority  is  demonstrated,  the  second  step  will  test  separately  for  superiority    of  3P-­‐MACE  and  for  superiority  of  the  kidney  composite  endpoint  

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Baseline  characterisDcs,  overall  and  by  renal  and  CV  risk  categories  at  baseline  (1)  

PaDents  with  no  kidney  risk  and  no  CV  risk:  n=59.  PaDents  with  missing  kidney  risk  and  missing  CV  risk:  n=5.  CV,  cardiovascular  disease;  eGFR,  esDmated  glomerular  

filtraDon  rate;  HbA1c,  glycated  haemoglobin  A1c;  MDRD,  ModificaDon  of  Diet  in  Renal  Disease  study  equaDon;  SD,  

standard  deviaDon;  UACR,  urinary  albumin-­‐to-­‐creaDnine  raDo.  *eGFR  15  to  <45  mL/min/1.73  m2  or  eGFR  ≥45  to  75  mL/min/

1.73  m2  with  UACR  >200  mg/g;  †albuminuria  and  previous  macrovascular  disease  without  evidence  of  impaired  renal  

funcDon;  ‡albuminuria  and  previous  macrovascular  disease  plus  eGFR  15  to  <45  mL/min/1.73  m2  or  eGFR  ≥45  to  75  mL/

min/1.73  m2  with  UACR  >200  mg/g.  Source:  Rosenstock  J.,  et  al.  ADA  2017,  Poster  1284-­‐

P  

71  

Total  (n=6980)  

Kidney*  only  (n=2927)  

CV  only†    (n=2728)  

Kidney  +  CV‡  

 (n=1261)  

Age,  years,  mean  (SD)   65.8  (9.1)   67.2  (9.2)   63.8  (8.7)   66.9  (8.6)  

Male,  n  (%)   4390  (62.9)   1604  (54.6)   1863  (68.0)   889  (70.3)  

Race,  n  (%)  

White   5595  (80.2)   2230  (75.9)   2297  (83.8)   1015  (80.2)  

Asian   641  (9.2)   303  (10.3)   205  (7.5)   129  (10.2)  

Black/African  American   411  (5.9)   244  (8.3)   86  (3.1)   77  (6.1)  

Region  

Europe   2833  (40.6)   1104  (37.6)   1260  (46.0)   453  (35.8)  

South  America   2310  (33.1)   933  (31.8)   950  (34.7)   412  (32.6)  

North  America   1180  (16.9)   606  (20.6)   293  (10.7)   252  (19.9)  

Asia   657  (9.4)   284  (9.7)   225  (8.2)   144  (11.4)  

eGFR  (MDRD),  mL/min/1.73  m2,  mean  (SD)   54.6  (25.0)   38.3  (13.6)   75.7  (21.6)   46.1  (18.3)  

eGFR  (MDRD),  n  (%)  

≥90  mL/min/1.73  m2   728  (10.4)   5  (0.2)   684  (25.0)   30  (2.4)  

≥60−<90  mL/min/1.73  m2   1903  (27.3)   235  (8.0)   1391  (50.7)   248  (19.6)  

≥45−<60  mL/min/1.73  m2   1349  (19.3)   543  (18.5)   490  (17.9)   299  (23.6)  

≥30−<45  mL/min/1.73  m2   1937  (27.8)   1331  (45.3)   134  (4.9)   464  (36.7)  

<30  mL/min/1.73  m2   1063  (15.2)   813  (27.7)   29  (1.1)   220  (17.4)  

HbA1c,  %,  mean  (SD)   7.9  (1.0)   7.9  (1.0)   8.0  (1.0)   8.0  (1.0)  

Diabetes  duraDon,  mean  (SD)   14.7  (9.5)   16.0  (9.6)   12.6  (9.0)   16.5  (9.4)  

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Prognosis  of  CKD  in  CARMELINA®  populaDon  by  eGFR  and  albuminuria  categories*  

72  CKD,  chronic  kidney  disease;  eGFR,  esDmated  glomerular  filtraDon  rate;  KDIGO,  Kidney  Disease:  Improving  Global  Outcomes  organisaDon;  UACR,  urinary  albumin-­‐to-­‐creaDnine  raDo.  Source:  Rosenstock  J.,  et  al.  ADA  

2017,  Poster  1284-­‐P  

*Based  on  KDIGO  categories.  Reprinted  from  Kidney  Int,  80,  Levey  et  al,  The  definiDon,  classificaDon,  and  prognosis  of  chronic  kidney  disease:  a  KDIGO  Controversies  Conference  report,  17–28,  Copyright  2011,  with  permission  from  Elsevier  

Prognosis  of  CKD   Low  risk   Moderate  risk   High  risk   Very  high  

risk  

CARMELINA®  populaDon  at  baseline;  n  (%)   484  (6.9)   1561  (22.4)   1902  (27.2)   3033  (43.5)    

UACR  (mg/g)  

eGFR  (mL/min/1.73  m2)   <30   30−300   >300  

>60  

45−59  

30−44  

<30  

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CARMELINA®  (LinaglipDn)  N=6980  

SAVOR-­‐TIMI  581  (SaxaglipDn)  N=16,492  

EXAMINE2  (AloglipDn)  N=5380  

TECOS3  (SitaglipDn)  N=14,671  

EMPA-­‐REG  OUTCOME®4  

(Empagliflozin)  N=7020  

ELIXA5  (LixisenaDde)  

N=6068  

LEADER6  (LiragluDde)  N=9340  

SUSTAIN-­‐67  (SemagluDde)  

N=3297  

62,3  

15.6*  29,1  

9.3*  

25,9   23,2   23,1   28,5  

0  10  20  30  40  50  60  70  80  90  

100  

Prop

or:o

n  of  pa:

ents  with

   kidn

ey  disease  (%

)  

•  In  CARMELINA®,  62.3%  of  paDents  had  an  eGFR  <60  mL/min/1.73  m2,  compared  with  9.3%  to  29.1%  of  paDents  in  other  CVOTs1-­‐7    

ProporDon  of  CVOT  populaDons  with  kidney  disease  (eGFR  <60  mL/min/1.73  m2)  

CVOT,  cardiovascular  outcomes  trial;  eGFR,  esDmated  glomerular  filtraDon  rate.  1.  Scirica  BM,  et  al.  N  Engl  J  Med.  2013;369:1317–1326;  2.  White  WB,  et  al.  N  Engl  J  Med.  2013;369:1327–1335;  3.  Green  JB,  et  al.  N  Engl  J  Med.  2015;373:232–242;  4.  Zinman  B,  et  al.  N  Engl  J  Med.  2015;373:2117–2128;  5.  Pfeffer  MA,  et  al.  N  Engl  J  Med.  2015;373:2247–2257;  6.  Marso  SP,  et  al.  N  Engl  J  Med.  

2016;375:311–322;  7.  Marso  SP,  et  al.  N  Engl  J  Med.  2016;375:1834–1844.  *Kidney  disease  defined  as  eGFR  <50  mL/min/1.73  m2.  

Source:  Rosenstock  J.,  et  al.  ADA  2017,  Poster  1284-­‐P  

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•  CARMELINA®  is  designed  to  assess  the  addiDon  of  the  DPP-­‐4  inhibitor  linaglipDn  versus  placebo  to  standard  care  in  paDents  with  T2DM  

•  In  comparison  to  other  recent  outcome  trials  in  T2DM,  CARMELINA®  includes  the  highest  number  of  paDents  with  reduced  kidney  funcDon  (n=4190),  including  those  with  very  low  eGFR  (<30  mL/min/1.73  m2,  n=1063).  These  paDents:  –  are  at  a  high  cardio-­‐renal  risk  –  face  limited  glucose-­‐lowering  treatment  opDons  –  mark  an  under-­‐represented  populaDon  in  CVOTs  in  T2DM  

•  CARMELINA®  will  add  evidence  to  the  long-­‐term  clinical  safety  profile  of  linaglipDn  by  including  paDents  at  advanced  stages  of  kidney  disease    

Summary  at  Baseline    

CVOT,  cardiovascular  outcomes  trial;  DPP-­‐4,  dipepDdyl  pepDdase-­‐4;  eGFR,  

esDmated  glomerular  filtraDon  rate;  T2DM,  type  2  diabetes  mellitus.  Source:  

Rosenstock  J.,  et  al.  ADA  2017,  Poster  1284-­‐P  

74  

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iDPP-­‐4.  MENSAJES  PARA  CASA.  •  Perfil  de  seguridad  y  tolerabilidad  en  pacientes  con  DM-­‐2  y  ERC,    los  iDPP4  requieren  ajuste  de  dosis  según  FGe,  excepto  para  lina/teneliglipDna.  

•  Efecto  anDproteinúrico  demostrado  en  “pooled  analysis”  con  linaglipDna  y  ocasionalmente    con    otros  iDPP4,  solo  parcialmente  pero  no  global    en  el  estudio  MARLINA  y  en  SAVOR-­‐TIMI  renal  outcomes.    

•  Mantenimiento  (  no  efecto  sobre)  del  FGe.  •  En  espera  confirmación  resultados  en  diversos  estudios  “ongoing”  y    efectos  CV/renales  del  estudio  CARMELINA  y  CAROLINA  (linaglipDna).  

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Efectos  vasculares  y  renales  de  los  Inhibidores  de  DPP4  

Alberto  Mar+nez-­‐Castelao  Consultor  emérito  Hospital  Universitari  Bellvitge,  IDIBELL  Hospitalet.  Barcelona.  REDinREN  ,  InsDtuto  Salud  Carlos  III.    

MUCHAS GRACIAS

POR VUESTRA ATENCION

 

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Study   Popula:on   Baseline   At  endpoint   Significance  Mori  et  al1  UACR,  mean    mg/g  ±  SD  

Japanese   61.4±154.3   Month  6:  42.2±126.4   p<0.05  

Arjona  Ferreira  et  al2  UACR,  mean    mg/g  ±  SE  

Mixed   NR  

Harashima  et  al3  UACR,  mean    mg/g  ±  SD  

Japanese   76.2±95.6   Week  52:  33.0±48.1   p<0.001  

Albuminuria  (2/2)  

BL,  baseline  1.  Mori  H  et  al.  J  Diabetes  Invest  2014;5:313;  2.  Arjona  Ferreira  JC  et  al.  Diabetes  Care  2013;36:3460067;    3.  Harashima  SI  et  al.  Int  J  Clin  Pract  2012;66:465  

78  

Sitaglip:n  

-­‐0,10  -­‐0,06  -­‐0,02  0,02  0,06  0,10  0,14  0,18  0,22  0,26  0,30  

Albu

min:crea:

nine

   Ch

ange  from

 baseline  (M

ean  ±  SE)  

BL   Week  6   Month  6   Year  1  Time  

SitaglipDn  Glipizide  

X

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Study   Popula:on   Baseline   At  endpoint   Significance  

Mori  et  al1  Mean  ±  SD   Japanese   77.1±18.9   Month  6:  

73.7±16.0   p<0.05  

Arjona  Ferreira  et  al2  Mean  ±  SD   Mixed   NR  

Harashima  et  al3   Japanese   NR  

eGFR  (mL/min/1.73  m2)  (2/2)  

1.  Mori  H  et  al.  J  Diabetes  Invest  2014;5:313;  2.  Arjona  Ferreira  JC  et  al.  Diabetes  Care  2013;36:3460067;    3.  Harashima  SI  et  al.  Int  J  Clin  Pract  2012;66:465  

79  

Sitaglip:n  

-­‐5  

-­‐4  

-­‐3  

-­‐2  

-­‐1  

0  

1  

eGFR

,  mean  chan

ge  ±  SE  

0   6   12   18   30   42   54  

SitaglipDn  Glipizide  

Week  

X

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Summary  

•  Albuminuria  outcomes  with  vildaglipDn  are  so  far  only  available  in  Asian  paDents    –  Marginal  UACR  reducDons  were  observed  in  Japanese  paDents  (N=47)  –  No  effect  on  UACR  levels  was  observed  in  a  larger  (N=344)  Korean  study  –  Data  are  limited,  but  consistent  

80  

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Time  points  of  key  biochemical  and  clinical  parameters  assessed  

ABPM,  ambulatory  blood  pressure  measurement;  BP,  blood  pressure;  eCrCl,  esDmated  creaDnine  clearance;  eGFR,  esDmated  glomerular  filtraDon  rate;  EOT,  end  of  treatment;  HbA1c,  glycosylated  haemoglobin;  KIM-­‐1,  kidney  injury  molecule-­‐1;  LFABP,  liver  fawy  acid  binding  protein;  NGAL,  neutrophil  

gelaDnase-­‐associated  lipocalin;  UACR,  urinary  albumin-­‐to-­‐creaDnine  raDo.  *EsDmated  using  Cockrol-­‐Gault  formula.  †EsDmated  using  either  the  MDRD  (ModificaDon  of  Diet  in  Renal  Disease)  or  

CKD-­‐EPI  (Chronic  Kidney  Disease  Epidemiology  CollaboraDon)  equaDon.  Source:  Groop  P-­‐H,  et  al.  Diab  Vasc  Dis  Res.2015;  pii:  1479164115579002  

Study week -3

Day -14 EOT+4

Visit 1 Visit 2 Visit 3

-2 Day -1

Visit 8

0

Visit 3.1 Randomisation

24

Visit 7 EOT

6

Visit 4

12

Visit 5

18

Visit 6

Screening

Placebo run-in period Treatment period

Follow-up

•  Albuminuria will be determined by the geometric mean UACR value from 3 urine samples taken on 3 consecutive days at each visit (first void morning spot urine samples). At least 2 out of the requested 3 samples have to be available at each time point.

HbA1c (%) ü ü ü ü ü UACR (mg/gCr) ü ü ü ü ü ü ü ü eCrCl (mL/min)* + eGFR (mL/min/1.73 m2)† ü ü ü ü ü ü ü BP (ABPM) (mmHg) ü ü Markers of tubular damage (KIM-1, LFABP, and NGAL) (ng/mL)

ü ü ü

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Baseline  characterisDcs,  overall  and  by  renal  and  CV  risk  categories  at  baseline  (2)  

PaDents  with  no  kidney  risk  and  no  CV  risk:  n=59.  PaDents  with  missing  kidney  risk  and  missing  CV  risk:  n=5.  ACE,  angiotensin-­‐converDng  enzyme;  ARB,  angiotensin-­‐receptor  blocker;  CV,  cardiovascular  disease;  DBP,  diastolic  blood  pressure;  HDL,  high-­‐density  lipoprotein;  LDL,  low-­‐density  lipoprotein;  SBP,  systolic  blood  

pressure;  SD,  standard  deviaDon;  UACR,  urinary  albumin-­‐to-­‐creaDnine  raDo.  *eGFR  15  to  <45  mL/min/1.73  m2  or  eGFR  ≥45  to  75  mL/min/1.73  m2  with  UACR  >200  mg/g;  †albuminuria  and  previous  macrovascular  

disease  without  evidence  of  impaired  renal  funcDon;  ‡albuminuria  and  previous  macrovascular  disease  plus  eGFR  15  to  <45  mL/min/1.73  m2  or  eGFR  ≥45  to  75  mL/min/1.73  m2  with  UACR  >200  mg/g;  §Includes  direct  

LDL.  Source:  Rosenstock  J.,  et  al.  ADA  2017,  Poster  1284-­‐P  

82  

Total  (n=6980)  

Kidney*  only  (n=2927)  

CV  only†    (n=2728)  

Kidney  +  CV‡  

 (n=1261)  

UACR,  mg/g,  median  (25th−75th  percenDle)   162.0  (44.0−727.0)   251.0  (34.0−1156.0)   98.0  (41.0−267.0)   353.0  (96.0−1120.4)  

UACR,  n  (%)  

<30  mg/g   1390  (19.9)   694  (23.6)   530  (19.3)   138  (10.9)  

30−300  mg/g   2896  (41.5)   866  (29.5)   1564  (57.1)   446  (35.3)  

>300  mg/g   2691  (38.6)   1365  (46.5)   633  (23.1)   677  (53.5)  

SBP,  mmHg,  mean  (SD)   140.5  (17.9)   142.3  (19.1)   138.2  (16.0)   141.6  (18.1)  

DBP,  mmHg,  mean  (SD)   77.8  (10.5)   77.4  (10.8)   78.9  (9.7)   76.6  (11.1)  

LDL  cholesterol§,  mg/dL,  mean  (SD)   91.1  (39.6)   93.6  (39.9)   90.2  (39.3)   87.6  (39.4)  

HDL  cholesterol,  mg/dL,  mean  (SD)   44.5  (12.9)   45.5  (13.8)   43.9  (12.0)   43.7  (12.6)  

Glucose-­‐lowering  therapy,  n  (%)   6802  (97.4)   2837  (96.6)   2668  (97.3)   1235  (97.6)  

Mesormin   3823  (54.8)   1121  (38.2)   2084  (76.0)   572  (45.2)  

Sulphonylurea   2434  (34.9)   923  (31.4)   1131  (41.3)   355  (28.1)  

Insulin   4039  (57.9)   1934  (65.8)   1216  (44.4)   860  (68.0)  

AnDhypertensives   6637  (95.1)   2815  (95.8)   2557  (93.3)   1206  (95.3)  

ACE  inhibitors  or  ARBs   5655  (81.0)   2396  (81.6)   2218  (80.9)   996  (78.7)  

β-­‐blockers   4144  (59.4)   1547  (52.7)   1701  (62.1)   861  (68.1)  

DiureDcs   3711  (53.2)   1837  (62.5)   1116  (40.7)   732  (57.9)  

Calcium  antagonists   2870  (41.1)   1393  (47.4)   882  (32.2)   571  (45.1)  

Aspirin   4764  (68.3)   1592  (54.2)   2132  (77.8)   1009  (79.8)