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MODO ( “Models Of Diabetes and Obesity”) Consortium Toni Vidal-Puig & Tony Coll

MODO ( “ M odels O f D iabetes and O besity”) Consortium

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MODO ( “ M odels O f D iabetes and O besity”) Consortium. Toni Vidal- Puig & Tony Coll. Obesity, diabetes and related metabolic diseases are major and increasing threats to public health.

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Page 1: MODO ( “ M odels  O f  D iabetes and  O besity”) Consortium

MODO ( “Models Of Diabetes and Obesity”) Consortium

Toni Vidal-Puig & Tony Coll

Page 2: MODO ( “ M odels  O f  D iabetes and  O besity”) Consortium

<10%

10%–14% 15%–19%

20%–24% 25%–29%

≥30%

Obesity 2007 Diabetes 2007

Obesity, diabetes and related metabolic diseases are major and increasing threats to public health

Page 3: MODO ( “ M odels  O f  D iabetes and  O besity”) Consortium

<10%

10%–14% 15%–19%

20%–24% 25%–29%

≥30%

Obesity 2007 Obesity 2010

Obesity, diabetes and related metabolic diseases are major and increasing threats to public health

Page 4: MODO ( “ M odels  O f  D iabetes and  O besity”) Consortium

Obesity, diabetes and related metabolic diseases are major and increasing threats to public health

There remains a major unmet need for therapy and prevention

Page 6: MODO ( “ M odels  O f  D iabetes and  O besity”) Consortium

OCDEMMark McCarthy

Anna GloynPatrick RorsmanFrederick KarpeCecilia Lindgren

University of OxfordFrances Ashcroft

MRC HarwellRoger Cox

DundeeMike Ashford Calum SutherlandRory McCrimmon Ewan Pearson

MRC CORDToni Vidal Puig Tony Coll

+ colleagues

MRC EpidemiologyNick Wareham Ruth Loos

MRC HNRJules Griffin

ImperialGuy Rutter

MRC-CSCDominic Withers

University College, LondonRachel BatterhamThe MODO Consortium

Page 7: MODO ( “ M odels  O f  D iabetes and  O besity”) Consortium

Specific aims

To identify and develop specific therapeutic interventions.

physiology

pathology

therapeutics

To understand the molecular determinants of nutrient sensing and

energy balance.

To advance our understanding of

B cell function and insulin action.

To understand how alterations in theses pathways lead to metabolic disease

Page 8: MODO ( “ M odels  O f  D iabetes and  O besity”) Consortium

IMPC programme

Page 9: MODO ( “ M odels  O f  D iabetes and  O besity”) Consortium

data from existingmodels

transcriptionalprofiling

geneticassociation studies

whole exomesequencing

IMPC programme

Page 10: MODO ( “ M odels  O f  D iabetes and  O besity”) Consortium

data from existingmodels

transcriptionalprofiling

geneticassociation studies

whole exomesequencing

Secondary phenotyping

Page 11: MODO ( “ M odels  O f  D iabetes and  O besity”) Consortium

Murine phenotypingCambridge London Dundee

“Fine grained” , bespoke metabolic phenotypingEnergy balance

and body composition

Whole body glucose homeostasis

Histology

Environmental influencesDiet Activity Temperature

Obesity associated metabolic complications

Page 12: MODO ( “ M odels  O f  D iabetes and  O besity”) Consortium

Metabolic disease- a disorder of whole organisms, not simply one system.

Page 13: MODO ( “ M odels  O f  D iabetes and  O besity”) Consortium

adipocyte biology

pancreas

Metabolic disease- a disorder of whole organisms, not simply one system.

neuroendocrinology brown adipose

muscle

behaviour

liver

gut

Page 15: MODO ( “ M odels  O f  D iabetes and  O besity”) Consortium

Molecular phenotyping

Expression profiling

Pearson, Sutherland. McCarthy& colleagues

Down in fasting

Up in fasting

10 100 1000 1e4

10

100

1000

1e4

Normalized signal intensity (FED)

Nor

mal

ized

sig

nal in

tens

ity (F

AST

)

10 100 1000 1e4

10

100

1000

1e4

Normalized signal intensity (FED)

Nor

mal

ized

sig

nal in

tens

ity (L

EPT

IN)

Pharmocogenomics

Withers, Yeo

Page 16: MODO ( “ M odels  O f  D iabetes and  O besity”) Consortium

Detailed human phenotypingEnergy balance Functional imaging

Fatty acid metabolism

Body composition

Batterham Karpe Farooqi Savage Semple

Page 17: MODO ( “ M odels  O f  D iabetes and  O besity”) Consortium

For discussion

•Metabolic phenotypes are not necessarily acute or extreme – implications for primary screen

•Linking in with other programmes involving areas of expertise not historically allied to metabolic disease

•Data integration- within the consortium, within the whole IMPC

•Quality control during protocols and data acquisition

•Funding

Page 18: MODO ( “ M odels  O f  D iabetes and  O besity”) Consortium

OCDEMMark McCarthy

Anna GloynPatrick RorsmanFrederick KarpeCecilia Lindgren

University of OxfordFrances Ashcroft

MRC HarwellRoger Cox

DundeeMike Ashford Calum SutherlandRory McCrimmon Ewan Pearson

MRC CORDToni Vidal Puig Tony Coll

+ colleagues

MRC EpidemiologyNick Wareham Ruth Loos

MRC HNRJules Griffin

ImperialGuy Rutter

MRC-CSCDominic Withers

University College, LondonRachel BatterhamThe MODO Consortium