insights into diabetes susceptibility and resilience

41
Host Institution Insights into diabetes susceptibility and resilience: outcomes of the TOFI_Asia Study Dr Ivana Sequeira on behalf of the PANaMAH program 1 Science Symposium_25th September 2017

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Page 1: Insights into diabetes susceptibility and resilience

Host Institution

Insights into diabetes susceptibility and resilience: outcomes of the TOFI_Asia Study

Dr Ivana Sequeira on behalf of the PANaMAH program

1

Science Symposium_25th September 2017

Page 2: Insights into diabetes susceptibility and resilience

2Cross sectional phenotypying to determine markers of diabetes risk

TOFI_Asia study: Conducted in Auckland

Multi-ethnic city hosting a wider Asian population

Page 3: Insights into diabetes susceptibility and resilience

3

Asian Chinese

European Caucasian

TOFI_Asia study: Conducted in Auckland

Pre-screened: N = 383 individuals

Eligible: N = 365

And enrolled into the study

Page 4: Insights into diabetes susceptibility and resilience

4

Both parents

TOFI_Asia cohort: Eligibility criteria

Asian Chinese

European Caucasian

Page 5: Insights into diabetes susceptibility and resilience

5

Dr Louise Lu

Wilson Yip (PhD)

ASIAN CHINESE MALE N = 94 (26%)

ASIAN CHINESE FEMALE N = 112

(30%)

CAUCASIAN FEMALE N = 94 (26%)

CAUCASIAN MALE N = 65 (18%)

Mandarin speaking

TOFI_Asia cohort: Successful recruitment!

Cantonesespeaking

159 Caucasian, 206 Asian Chinese

N = 365

Page 6: Insights into diabetes susceptibility and resilience

6

TOFI_Asia study protocol: Phenotyping the cohort

Anthropometry

Height Weight Waist Hip

Page 7: Insights into diabetes susceptibility and resilience

7

Established markersFasting plasma glucoseHbA1cInsulinGI Peptides Amylin, AdiponectinFull lipid profileLiver function testsCytokines

Fasting blood samples

TOFI_Asia study protocol: Phenotyping the cohort

Page 8: Insights into diabetes susceptibility and resilience

8

Fasting blood samples

Dr Karl Fraser

Dr John-Charles Martin

Emily Wu (PhD)

Prof Garth Cooper

International collaborators

TOFI_Asia study protocol: Phenotyping the cohort

Novel (metabolomic) markers Untargeted LC-MS

Page 9: Insights into diabetes susceptibility and resilience

9

Total body fat and abdominal fat DeXA Scan

A/Prof Lindsay Plank

TOFI_Asia study protocol: Phenotyping the cohort

Page 10: Insights into diabetes susceptibility and resilience

10

Lipid ‘Overspill’ into the organsPancreas fat, Liver fat

Magnetic Resonance Imaging and Spectroscopy (MRI/S)

TOFI_Asia study protocol: Phenotyping the cohort

Page 11: Insights into diabetes susceptibility and resilience

11

TOFI_Asia study protocol: Phenotyping the cohort

A/Prof Jun Lu

MRI/S

Dr Rinki Murphy

Lipid ‘Overspill’ into the organsPancreas fat, Liver fat

Page 12: Insights into diabetes susceptibility and resilience

12

Dr. Keiren Hollingsworth

TOFI_Asia study protocol: Phenotyping the cohort

MRI/S Lipid ‘Overspill’ into the organs

Pancreas fat, Liver fatInternational collaborators renowned for MR imaging

Page 13: Insights into diabetes susceptibility and resilience

13

Cardiorespiratory fitnessYMCA submaximal bike test test Dr. Nick Gant

TOFI_Asia study protocol: Phenotyping the cohort

HVN Poster presentation, Wilson Yip (PhD)

Page 14: Insights into diabetes susceptibility and resilience

14

Pancreatic β-cell function as a measurement of insulin secretionIntravenous glucose tolerance test (ivGTT)

Dr. Carl Peters

TOFI_Asia study protocol: Phenotyping the cohort

Page 15: Insights into diabetes susceptibility and resilience

15

Summarise Early data from the TOFI cohort

Page 16: Insights into diabetes susceptibility and resilience

16

CAUCASIAN CHINESE ASIAN p value

Height (m) 1.72 ± 0.1 1.66 ± 0.1 <0.001

Weight (kg) 80.0 ± 15.7 75.9 ± 14.4 0.009

BMI (kg/m2) 26.8 ± 4.6 27.4 ± 3.9 ns

Age (yrs) 42.4 ± 16. 41.2 ± 13.3 ns

Total body fat (%) 33.8 ± 10.2 35.0 ± 7.2 ns

Abdominal fat (%) 36.9 ± 14.1 41.0 ± 9.0 <0.001

NOT AS TALL

TOFI cohort: Summary of early results

Mean ± SD

Page 17: Insights into diabetes susceptibility and resilience

17

CAUCASIAN CHINESE ASIAN p value

Height (m) 1.72 ± 0.1 1.66 ± 0.1 <0.001

Weight (kg) 80.0 ± 15.7 75.9 ± 14.4 0.009

BMI (kg/m2) 26.8 ± 4.6 27.4 ± 3.9 ns

Age (yrs) 42.4 ± 16. 41.2 ± 13.3 ns

Total body fat (%) 33.8 ± 10.2 35.0 ± 7.2 ns

Abdominal fat (%) 36.9 ± 14.1 41.0 ± 9.0 <0.001

TOFI cohort: Summary of early results

Mean ± SD

WEIGHED LESS

Page 18: Insights into diabetes susceptibility and resilience

18

CAUCASIAN CHINESE ASIAN p value

Height (m) 1.72 ± 0.1 1.66 ± 0.1 <0.001

Weight (kg) 80.0 ± 15.7 75.9 ± 14.4 0.009

BMI (kg/m2) 26.8 ± 4.6 27.4 ± 3.9 ns

Age (yrs) 42.4 ± 16. 41.2 ± 13.3 ns

Total body fat (%) 33.8 ± 10.2 35.0 ± 7.2 ns

Abdominal fat (%) 36.9 ± 14.1 41.0 ± 9.0 <0.001

TOFI cohort: Summary of early results

Mean ± SD

but SIMILAR BMI

Page 19: Insights into diabetes susceptibility and resilience

19

CAUCASIAN CHINESE ASIAN p value

Height (m) 1.72 ± 0.1 1.66 ± 0.1 <0.001

Weight (kg) 80.0 ± 15.7 75.9 ± 14.4 0.009

BMI (kg/m2) 26.8 ± 4.6 27.4 ± 3.9 ns

Age (yrs) 42.4 ± 16. 41.2 ± 13.3 ns

Total body fat (%) 33.8 ± 10.2 35.0 ± 7.2 ns

Abdominal fat (%) 36.9 ± 14.1 41.0 ± 9.0 <0.001

TOFI cohort: Summary of early results

Mean ± SD

SIMILAR AGE

Page 20: Insights into diabetes susceptibility and resilience

20

CAUCASIAN CHINESE ASIAN p value

Height (m) 1.72 ± 0.1 1.66 ± 0.1 <0.001

Weight (kg) 80.0 ± 15.7 75.9 ± 14.4 0.009

BMI (kg/m2) 26.8 ± 4.6 27.4 ± 3.9 ns

Age (yrs) 42.4 ± 16. 41.2 ± 13.3 ns

Total body fat (%) 33.8 ± 10.2 35.0 ± 7.2 ns

Abdominal fat (%) 36.9 ± 14.1 41.0 ± 9.0 <0.001DEXA

TOFI cohort: Summary of early results

Mean ± SD

GREATER ABDOMINAL FAT

Page 21: Insights into diabetes susceptibility and resilience

21

CAUCASIAN CHINESE ASIAN p value

Fasting plasma glucose(mmol/L) 5.1 ± 0.6 5.4 ± 0.7 <0.001

HbA1c (mmol/mol) 33.3 ± 3.6 35.9 ± 4.1 <0.001

Established BLOOD markersfor diabetes risk

TOFI cohort: Summary of early results

Mean ± SD

BOTH HIGHER in Asian Chinese

Page 22: Insights into diabetes susceptibility and resilience

R²=0.17,p<0.001

R²=0.10,p<0.001

3.0

4.0

5.0

6.0

7.0

8.0

9.0

15 20 25 30 35 40 45 50

Fast

ing

plas

ma

gluc

ose

(mm

ol/L

)

Body Mass Index (kg/m2)22

Established risk markers in the TOFI cohort

If anything Asian Chinese are slightly higher

Asian Chinese

Caucasian European

As expected, fasting glucose levels are significantly correlated with BMI in both Ethnicities

Page 23: Insights into diabetes susceptibility and resilience

R²=0.18, p< 0.001

R²=0.03, p=0.002

3.0

4.0

5.0

6.0

7.0

8.0

9.0

0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0

Fast

ing

plas

ma

gluc

ose

(mm

ol/L

)

Abdominal fat (%) 23

DeXA - fat around the abdomen

Established risk markers in the TOFI cohort

Asian Chinese

Caucasian EuropeanAgain Asian Chinese are slightly higher

Not surprising, fasting glucose levels are also significantly correlated with abdominal fat in both Ethnicities

Page 24: Insights into diabetes susceptibility and resilience

TOFI_HILIC_MegaPosNeg_redefine3.M33 (PLS-DA), EthnicityColored according to classes in M33

24Partial least squares discriminatory analyses

Plot shows novel blood metabolites Caucasians (blue) and Asian Chinese (green)

Very interesting findings!

Novel (metabolomic) markers in the TOFI cohort

Asian Chinese

Caucasian European

Page 25: Insights into diabetes susceptibility and resilience

TOFI_HILIC_MegaPosNeg_redefine3.M33 (PLS-DA), EthnicityColored according to classes in M33

25Partial least squares discriminatory analyses

Clear and robust separation between Ethnicities

Considerably different blood metabolite profiles between the two ethnic groups

Novel (metabolomic) markers in the TOFI cohort

Asian Chinese

Caucasian European

Page 26: Insights into diabetes susceptibility and resilience

Very important that these studies are focused on Asian Chinese consumers

In line with Chinese regulatory requirements for validating health claims

26

Asian Chinese

European Caucasian

Early findings from Established & Novel markers suggest…

Page 27: Insights into diabetes susceptibility and resilience

27

TOFI-MRI cohort: Summary of early results

Page 29: Insights into diabetes susceptibility and resilience

29

Caucasian ChineseETHNICITY

10

20

30

40

50

60

70

Age

(yea

rs)

Slig

htly

yo

unge

r

Caucasian Asian Caucasian ChineseETHNICITY

10

20

30

40

50

BM

I (kg

/m2)

Slig

htly

sl

imm

er

Caucasian Asian Caucasian ChineseETHNICITY

3

4

5

6

7

Fas

ting

plas

ma

gluc

ose

(mm

ol/L

)

Slig

htly

hig

her

Fast

ing

gluc

ose

Caucasian Asian

TOFI-MRI cohort: Summary of early results

Box plots showing median and interquartile range

Page 31: Insights into diabetes susceptibility and resilience

Caucasian female, 56 yBMI 35 kg/m2

• Asian female low BMI, TOFI profile

QL41227

FAT IMAGE (3 mm)

Pancreas

VAT

SAT

Liver

9.6%fat

MRI SCAN

FAT IMAGE (3 mm)

SAT 23%

SAT: subcut fat

Page 32: Insights into diabetes susceptibility and resilience

Caucasian female, 56 yBMI 35 kg/m2

• Asian female low BMI, TOFI profile

QL41227

FAT IMAGE (3 mm)

Pancreas

VAT

SAT

Liver

9.6%fat

MRI SCAN

FAT IMAGE (3 mm)

SAT 23%

SAT: subcut fat

Pancreas

Liver 3%

4% fat

Low RiskFasting glucose 4.96 mmol/L

Page 33: Insights into diabetes susceptibility and resilience

Caucasian female, 56 yBMI 35 kg/m2

• Asian female low BMI, TOFI profile

QL41227

FAT IMAGE (3 mm)

Pancreas

VAT

SAT

Liver

9.6%fat

MRI SCAN

FAT IMAGE (3 mm)

SAT 23%

SAT: subcut fat

Pancreas

Liver 3%

4% fat

Asian Chinese female, 45 yBMI 23 kg/m2

FAT IMAGE (3 mm)

Pancreas 10%SAT 13%

Liver 9%SAT: subcut fat

Page 34: Insights into diabetes susceptibility and resilience

Caucasian female, 56 yBMI 35 kg/m2

• Asian female low BMI, TOFI profile

QL41227

FAT IMAGE (3 mm)

Pancreas

VAT

SAT

Liver

9.6%fat

MRI SCAN

FAT IMAGE (3 mm)

SAT 23%

SAT: subcut fat

Pancreas

Liver 3%

4% fat

Asian Chinese female, 45 yBMI 23 kg/m2

FAT IMAGE (3 mm)

Pancreas 10%SAT 13%

Liver 9%SAT: subcut fat

High Risk, TOFIFasting glucose 5.63 mmol/L

Page 35: Insights into diabetes susceptibility and resilience

35

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34

No. of individuals

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36

No. of individuals

Individual women in the MRI cohort….

Asian ChineseN = 36

Caucasian EuropeanN = 34

Page 36: Insights into diabetes susceptibility and resilience

36

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34

No. of individuals

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36

No. of individuals

(i) Women with high pancreatic fat (early data)

N = 8 (24%)

N = 17 (47%)

Asian ChineseN = 36

Caucasian EuropeanN = 34

Page 37: Insights into diabetes susceptibility and resilience

37

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34

No. of individuals

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36

No. of individuals

(ii) Lean women with high pancreatic fat: who is TOFI?

N = 1(12%)

N = 5(42%) Greater no. of TOFI women

BMI < 25 kg/m2

BMI < 25 kg/m2 Asian ChineseN = 36

Caucasian EuropeanN = 34

Page 38: Insights into diabetes susceptibility and resilience

_redefine3_FemaleOnly_withMRI(reanalyse).M8 (OPLS), Chinese MRI Y=PanFat X=Clinical+DColored according to Obs ID (PanFat(4%))

41050

4105941084

41085

41093

4109441096

41097

41098

41099

41152

41162

41163

4118441185

4118641189

41191

41199

4120341211

4121541223

41227

41228

41244

41261

41285

41286

41287

41293

41318

41319

41324

41331

41378

P = 3.41e -4

38Orthogonal Partial least squares analyses

Are there Novel (metabolomics) risk markers for pancreatic fat?

High Pan FatLow Pan Fat

Yes, strong correlations between some blood metabolites with high (green) and low (blue) pancreatic fat

Caucasian European

Page 39: Insights into diabetes susceptibility and resilience

_redefine3_FemaleOnly_withMRI(reanalyse).M8 (OPLS), Chinese MRI Y=PanFat X=Clinical+DColored according to Obs ID (PanFat(4%))

41050

4105941084

41085

41093

4109441096

41097

41098

41099

41152

41162

41163

4118441185

4118641189

41191

41199

4120341211

4121541223

41227

41228

41244

41261

41285

41286

41287

41293

41318

41319

41324

41331

41378

P = 3.41e -4

39

Are there Novel (metabolomics) risk markers for pancreatic fat?

Importantly, novel markers identified differed between the Asian Chinese and Caucasian women

Caucasian Europeanedefine3_FemaleOnly_withMRI(reanalyse).M12 (OPLS), Caucasian MRI Y=PanFat X=Clinical+

Colored according to Obs ID (PanFat(4%))

41006

41036

41037 41038

41051

4106341103

41126

41127

41128

41146

41155

41157

41167

41169

41188 41243

41247

41252

4125341273

41274

41281

4129041315

4131741330

4136541370

4137641392

41394

41436

41437

P = 2.66 e -4

High Pan FatLow Pan Fat

Triglycerides, Phosphatidylcholines

Primarily sphingolipids

Orthogonal Partial least squares analyses

Page 40: Insights into diabetes susceptibility and resilience

_redefine3_FemaleOnly_withMRI(reanalyse).M8 (OPLS), Chinese MRI Y=PanFat X=Clinical+DColored according to Obs ID (PanFat(4%))

41050

4105941084

41085

41093

4109441096

41097

41098

41099

41152

41162

41163

4118441185

4118641189

41191

41199

4120341211

4121541223

41227

41228

41244

41261

41285

41286

41287

41293

41318

41319

41324

41331

41378

P = 3.41e -4

40

The early findings from Novel risk markers suggest…

There may be fundamental

differences between the two

ethnicities around

biomarkers that represent

high pancreatic fat

Caucasian Europeanedefine3_FemaleOnly_withMRI(reanalyse).M12 (OPLS), Caucasian MRI Y=PanFat X=Clinical+

Colored according to Obs ID (PanFat(4%))

41006

41036

41037 41038

41051

4106341103

41126

41127

41128

41146

41155

41157

41167

41169

41188 41243

41247

41252

4125341273

41274

41281

4129041315

4131741330

4136541370

4137641392

41394

41436

41437

P = 2.66 e -4

High Pan FatLow Pan Fat

Asian Chinese

Orthogonal Partial least squares analyses

Page 41: Insights into diabetes susceptibility and resilience

Asian Chinese

European Caucasian

41

PANaMAH Phase I: TOFI_Asia study

Phenotyping will continue

PANaMAH Phase II

Longer term F&B interventions

Collaboration with cluster

Where to from here……