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Assessing Insulin Resistance
1. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Assessing Insulin Resistance
Karthik Balachandran
Department of Endocrinology,JIPMER
Oct 2014
Karthik Balachandran Assessing Insulin Resistance
2. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Background
IR is sine qua non of type 2 Diabetes
Reduced ability of insulin to exert its action on target tissues-liver,
skeletal muscle and adipose tissue
Karthik Balachandran Assessing Insulin Resistance
3. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Background
IR is sine qua non of type 2 Diabetes
Reduced ability of insulin to exert its action on target tissues-liver,
skeletal muscle and adipose tissue
Continuum not a binary
Karthik Balachandran Assessing Insulin Resistance
4. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Figure: Causes of Insulin Resistance
1
1Anwar Borai et al. âSelection of the appropriate method for the assessment
of insulin resistance.â BMC medical research methodology 11.1 (Jan. 2011),
p. 158. issn: 1471-2288.
Karthik Balachandran Assessing Insulin Resistance
5. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Responsiveness and Sensivitity
Responsiveness Maximal effect of insulin
Sensitivity Half maximal effect of insulin2
2Ranganath Muniyappa et al. âCurrent approaches for assessing insulin
sensitivity and resistance in vivo: advantages, limitations, and appropriate
usage.â American journal of physiology. Endocrinology and metabolism 294.1
(Jan. 2008), E15â26. issn: 0193-1849.
Karthik Balachandran Assessing Insulin Resistance
6. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Basis of IR
Genetic and environmental components
Fetal origins
Genes in the insulin action pathway
Karthik Balachandran Assessing Insulin Resistance
7. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Dynamic tests
Hyperinsulinemic euglycemic clamp
Hyperglycemic clamp
Insulin tolerance test
Frequently Sampled Intravenous GTT(FSIVGTT)
Modified FSIVGTT
OGTT
Continuous infusion of glucose with model
assessment(CIGMA)
Karthik Balachandran Assessing Insulin Resistance
8. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Hyperinsulinemic Euglycemic Clamp
Hyperinsulinemic Supraphysiological Insulin
Euglycemic Normal glucose levels
Karthik Balachandran Assessing Insulin Resistance
9. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Hyperinsulinemic Euglycemic Clamp
Hyperinsulinemic Supraphysiological Insulin
Euglycemic Normal glucose levels
Clamp Hepatic glucose output clamped
Karthik Balachandran Assessing Insulin Resistance
10. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Hyperinsulinemic Euglycemic Clamp
Described by DeFronzo et al-1979
Infuse exogenous insulin at 6mIU/kg/min and 20% glucose
Check RBS at 5 min intervals
Infused insulin suppresses HGO
Karthik Balachandran Assessing Insulin Resistance
11. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Hyperinsulinemic Euglycemic Clamp
Once steady state is reached3
rate of infusion of glucose= rate of peripheral glucose disposal
3usally during the last 30-60 min of the test
Karthik Balachandran Assessing Insulin Resistance
12. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Hyperinsulinemic Euglycemic Clamp
Once steady state is reached3
rate of infusion of glucose= rate of peripheral glucose disposal
Insulin sensitive people require more exogenous glucose,
insulin resistant people require less
Insulin mediated glucose disposal rate denoted as M
3usally during the last 30-60 min of the test
Karthik Balachandran Assessing Insulin Resistance
13. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Hyperinsulinemic Euglycemic Clamp
Sensitive M > 7.5mg/kg/min
Resistant M < 4mg/kg/min
Intermediate M 4to7.5mg/kg/min
Karthik Balachandran Assessing Insulin Resistance
14. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Hyperinsulinemic Euglycemic Clamp
M can be normalized to fat free mass or resting energy
expenditure
Insulin sensitivity index Si(clamp) derived from data for
comparing clamp with minimal model
Karthik Balachandran Assessing Insulin Resistance
15. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Hyperinsulinemic Euglycemic Clamp
M can be normalized to fat free mass or resting energy
expenditure
Insulin sensitivity index Si(clamp) derived from data for
comparing clamp with minimal model
Hyperinsulinemic euglycemic clamp-gold standard for
measuring IR
Karthik Balachandran Assessing Insulin Resistance
16. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Infusion rates-importance
Figure: Insulin vs Glucose disposal Figure: Insulin infusion vs GIR
Karthik Balachandran Assessing Insulin Resistance
17. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Clamp-considerations
M should be obtained at single infusion rate
Multiple stepwise infusion rates-ideal but difficult
Difference b/w arterial and venous blood-âarterialisedâ venous
blood
Cannulate in retrograde fashion
Warm hand with pad to open AV anastomoses
Karthik Balachandran Assessing Insulin Resistance
18. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Clamp-improvements
Use of radiolabeled tracers to study hepatic and peripheral
insulin sensitivity
Glycerol and aminoacids to study fat and protein metabolism
w.r.t. insulin sensitivity
P31 magnetic resonance spectroscopy - assess rates of
insulin-stimulated muscle mitochondrial ATP synthase flux
and insulin-stimulated increases in concentrations of
intramyocellular inorganic phosphate
Karthik Balachandran Assessing Insulin Resistance
19. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Hyperglycemic Clamp
Quantitative measure of
20. -cell insulin secretion in response to
glucose
Plasma glucose levels raised to plateau at 7mmol/L above
basal and kept for 2 hours
Karthik Balachandran Assessing Insulin Resistance
21. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Hyperglycemic Clamp
Quantitative measure of
22. -cell insulin secretion in response to
glucose
Plasma glucose levels raised to plateau at 7mmol/L above
basal and kept for 2 hours
Glucose infused at 5 min intervals
Karthik Balachandran Assessing Insulin Resistance
23. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Hyperglycemic Clamp
Quantitative measure of
24. -cell insulin secretion in response to
glucose
Plasma glucose levels raised to plateau at 7mmol/L above
basal and kept for 2 hours
Glucose infused at 5 min intervals
Hyperglycemia stimuates insulin secretion
Karthik Balachandran Assessing Insulin Resistance
25. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Hyperglycemic Clamp
Quantitative measure of
26. -cell insulin secretion in response to
glucose
Plasma glucose levels raised to plateau at 7mmol/L above
basal and kept for 2 hours
Glucose infused at 5 min intervals
Hyperglycemia stimuates insulin secretion
Volume of glucose maintenance doses needed to maintain
hyperglycemia-a measure of insulin secretion
Karthik Balachandran Assessing Insulin Resistance
27. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Hyperglycemic Clamp
M can be calculated as in euglycemic clamp
M/I ratio provides a measure of sensitivity to endogenously
secreted insulin
Karthik Balachandran Assessing Insulin Resistance
28. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Clamp studies
Cons
Difficult
Suppresses HGO
Risk of hypoglycemia
Not physiological
Pros
Gold standard
Karthik Balachandran Assessing Insulin Resistance
29. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Insulin Tolerance Test
Oldest measure of insulin sensitivy- 1929
Net effect of insulin on liver and peripheral tissues
IV bolus of 0.1 mU/kg given
Blood samples are collected 15 and 5 min prior to injection
and at 3, 6, 9, 12, 15, 20 and 30 min thereafter
At 30 min glucose is injected to stop a continuing fall in blood
glucose4
4Anwar Borai, Callum Livingstone, and Gordon a a Ferns. âThe biochemical
assessment of insulin resistance.â Annals of clinical biochemistry 44.Pt 4 (July
2007), pp. 324â42. issn: 0004-5632.
Karthik Balachandran Assessing Insulin Resistance
30. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Insulin Tolerance Test
The rate of glucose disappearance constant is then calculated as
the slope of the decline in blood glucose plotted logarithmically
KITT =
0.693
t1/2
x100 (1)
Karthik Balachandran Assessing Insulin Resistance
31. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Insulin Tolerance Test
The rate of glucose disappearance constant is then calculated as
the slope of the decline in blood glucose plotted logarithmically
KITT =
0.693
t1/2
x100 (1)
I Normal KITT is > 2%
I Values < 1.5% are abnormal
Karthik Balachandran Assessing Insulin Resistance
32. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
ITT
Limitations
Risk of hypoglycemia
Canât localize the site of
resistance
Antagonism by
counter-regulatory hormones
Karthik Balachandran Assessing Insulin Resistance
33. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
ITT
Limitations
Risk of hypoglycemia
Canât localize the site of
resistance
Antagonism by
counter-regulatory hormones
Advantage
Cheaper than Clamp studies
Karthik Balachandran Assessing Insulin Resistance
34. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Frequently Sampled Intravenous GTT
Baseline blood samples for insulin and glucose are taken at 15,
20, 25, 30 min following placement of an intravenous cannula
Karthik Balachandran Assessing Insulin Resistance
35. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Frequently Sampled Intravenous GTT
Baseline blood samples for insulin and glucose are taken at 15,
20, 25, 30 min following placement of an intravenous cannula
Glucose (0.3 g/kg of 50%) is then manually injected as a
bolus over 1min
Karthik Balachandran Assessing Insulin Resistance
36. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Frequently Sampled Intravenous GTT
Baseline blood samples for insulin and glucose are taken at 15,
20, 25, 30 min following placement of an intravenous cannula
Glucose (0.3 g/kg of 50%) is then manually injected as a
bolus over 1min
Blood samples for glucose and insulin measurement are drawn
2, 3, 4, 5, 6, 8,10,12,14,16,19, 22, 25, 30, 40, 50, 60,70, 80,
90,100,120,140, 160 and 180 min after the start of the
glucose injection
Karthik Balachandran Assessing Insulin Resistance
37. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Frequently Sampled Intravenous GTT
Modified- exogenous insulin also used over 5 min beginning 20
min after the iv glucose bolus
Some studies use tolbutamide
Data analyzed using miminal model analysis
Karthik Balachandran Assessing Insulin Resistance
38. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Figure: FSIVGTT and Minimal model analysis
Karthik Balachandran Assessing Insulin Resistance
39. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Minimal Model Equations
One compartment
dG(t)
dt = â[p1 + X(t)G(t) + p1Gb (2)
Two compartments
dX(t)
dt = p2X(t) + p3[I(t) â ib] (3)
Karthik Balachandran Assessing Insulin Resistance
40. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Minimal model- assumptions
1 Instantaneous glucose distribution in monocompartmental
space
Karthik Balachandran Assessing Insulin Resistance
41. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Minimal model- assumptions
1 Instantaneous glucose distribution in monocompartmental
space
2 Glucose disappearance at monoexponential rate
Karthik Balachandran Assessing Insulin Resistance
42. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Minimal model- assumptions
1 Instantaneous glucose distribution in monocompartmental
space
2 Glucose disappearance at monoexponential rate
3 Glucose concentration at beginning and end -same
Karthik Balachandran Assessing Insulin Resistance
43. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Minimal model- assumptions
1 Instantaneous glucose distribution in monocompartmental
space
2 Glucose disappearance at monoexponential rate
3 Glucose concentration at beginning and end -same
4 Insulin acts from a remote compartment
Karthik Balachandran Assessing Insulin Resistance
44. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Minimal model- assumptions
1 Instantaneous glucose distribution in monocompartmental
space
2 Glucose disappearance at monoexponential rate
3 Glucose concentration at beginning and end -same
4 Insulin acts from a remote compartment
5 Glucose disposal in skeletal muscle and HGO-lumped together
Karthik Balachandran Assessing Insulin Resistance
45. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Minimal model- assumptions
1 Instantaneous glucose distribution in monocompartmental
space
2 Glucose disappearance at monoexponential rate
3 Glucose concentration at beginning and end -same
4 Insulin acts from a remote compartment
5 Glucose disposal in skeletal muscle and HGO-lumped together
6 Total insulin secretion is above a certain threshold
Karthik Balachandran Assessing Insulin Resistance
46. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Glucose effectiveness and FSIVGTT
Glucose effectiveness
Ability of glucose per se to promote its own disposal and inhibit
HGP in the absence of an incremental insulin effect
Karthik Balachandran Assessing Insulin Resistance
47. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
FSIVGTT-Advantages
Insulin sensitivity, glucose effectiveness, and
48. -cell function
can be derived from a single dynamic test
Simpler than clamp studies
Karthik Balachandran Assessing Insulin Resistance
49. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Oral glucose tolerance test
After an overnight fast, blood samples for deter- minations of
glucose and insulin concentrations are taken at 0, 30,60, and
120 min following a standard oral glucose load (75 g).
Use of glucose tracer and insulin/C peptide at specific time
points - allows calculation of glucose clearance
Karthik Balachandran Assessing Insulin Resistance
50. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
OGTT problems
Poor reproducibility
Variable gastric emptying
Variable glucose absorption
Variable incretin effect
No adequate information about glucose and insulin dynamics
Less physiological
Does not distinguish insulin sensitivity from secretion5
5Rita S PatarrËao, Wilford Wayne, and Maria Paula. âRevista Portuguesa de
Endocrinologia , Diabetes e Metabolismo Assessment of methods and indexes of
insulin sensitivityâ. 9.1 (2014), pp. 65â73.
Karthik Balachandran Assessing Insulin Resistance
51. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Meal Tolerance Test
Physiologic variant of OGTT
Karthik Balachandran Assessing Insulin Resistance
52. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Meal Tolerance Test
Physiologic variant of OGTT
No artifactual post load hypoglycemia
Karthik Balachandran Assessing Insulin Resistance
53. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Meal Tolerance Test
Physiologic variant of OGTT
No artifactual post load hypoglycemia
Triggers cephalic phase of gastric emptying
Karthik Balachandran Assessing Insulin Resistance
54. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Meal Tolerance Test
Physiologic variant of OGTT
No artifactual post load hypoglycemia
Triggers cephalic phase of gastric emptying
Potential to evaluate the physiological effects of incretins
Karthik Balachandran Assessing Insulin Resistance
55. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Meal Tolerance Test
Physiologic variant of OGTT
No artifactual post load hypoglycemia
Triggers cephalic phase of gastric emptying
Potential to evaluate the physiological effects of incretins
Can measure insulin sensitivity with a modified algorithm
based on the minimal model
Karthik Balachandran Assessing Insulin Resistance
56. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
Continuous infusion of glucose with model assessment
Assesses insulin sensitivity through the evaluation of the near
steady-state glucose and insulin con- centrations after a
continuous infusion of glucose
Mimics postprandial glucose and insulin concentrations
The glucose and insulin values used for CIGMA are obtained
during the last 15 min of the 60 min continuous glucose
infusion (5 mg glucose/kg bw/min)
Karthik Balachandran Assessing Insulin Resistance
57. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Direct Assessment
CIGMA
Samples are collected at 5 min intervals and the average is
then compared with predicted values from the com- puter
model
The median value for normal subjects is 1.35, and for diabetic
patients with mild hyperglycemia is 4.0
Karthik Balachandran Assessing Insulin Resistance
58. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
HOMA
QUICKI
Homeostasis Model Assessment
Model of interactions between glucose and insulin dynamics,
that is then used to predict fasting steady-state glucose and
insulin concentrations
Karthik Balachandran Assessing Insulin Resistance
59. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
HOMA
QUICKI
Homeostasis Model Assessment
Model of interactions between glucose and insulin dynamics,
that is then used to predict fasting steady-state glucose and
insulin concentrations
The model assumes a feedback loop b/w liver and
61. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
HOMA
QUICKI
Homeostasis Model Assessment
Model of interactions between glucose and insulin dynamics,
that is then used to predict fasting steady-state glucose and
insulin concentrations
The model assumes a feedback loop b/w liver and
62. cell
Glucose concentrations are regulated by insulin-dependent
hepatic glucose production, while insulin levels depend on the
pancreatic
64. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
HOMA
QUICKI
HOMA
Describes Glucose insulin homeostasis by a set of non linear
equations
The model predicts fasting steady-state levels of plasma
glucose and insulin for any given combination of pancreatic
65. -cell function (HOMA%B) and insulin sensitivity
(HOMA%S).
Karthik Balachandran Assessing Insulin Resistance
66. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
HOMA
QUICKI
HOMA
HOMA =
Fasting glucosexFasting insulin
22.5
6
6The denominator of 22.5 is a normalizing factor, i.e., the product of normal
fasting plasma insulin of 5 ÎŒIU/ml and normal fasting plasma glucose of 4.5
mmol/l obtained from an âideal and normalâ individual
Karthik Balachandran Assessing Insulin Resistance
67. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
HOMA
QUICKI
HOMA in type 2 DM
Short acting insulin and sulfonylureas can be used
Stop NPH the night before7
7Kohei Okita et al. âHomeostasis model assessment of insulin resistance for
evaluating insulin sensitivity in patients with type 2 diabetes on insulin
therapyâ. Endocrine Journal 60.3 (2013), pp. 283â290. issn: 0918-8959.
Karthik Balachandran Assessing Insulin Resistance
68. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
HOMA
QUICKI
HOMA in type 2 DM
Figure: HOMA in type 2 DM8
8Kohei Okita et al. âHomeostasis model assessment of insulin resistance for
evaluating insulin sensitivity in patients with type 2 diabetes on insulin
therapyâ. Endocrine Journal 60.3 (2013), pp. 283â290. issn: 0918-8959.
Karthik Balachandran Assessing Insulin Resistance
69. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
HOMA
QUICKI
HOMA-2
Assessment of HOMA%S and HOMA%B in subjects with
glucose levels 25 mM
Accounts for renal glucose losses
Assumes reduced suppression of HGP and increased insulin
secretion in response to glucose levels 10 mM
Allows for the use of total or specific insulin assays
Karthik Balachandran Assessing Insulin Resistance
70. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
HOMA
QUICKI
Quantitative insulin sensitivity check index
Mathematical transformation that uses fasting glucose and
fasting insulin
Transformation is done as these variables have skewed
distribution
This makes better correlation with clamp studies -Si(clamp)
Karthik Balachandran Assessing Insulin Resistance
71. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
HOMA
QUICKI
QUICKI =
1
log(fasting insulin(ÎŒIU/ml)) + log(fasting glucose(mg/dl))
Karthik Balachandran Assessing Insulin Resistance
72. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
HOMA
QUICKI
QUICKI
Pros
Simple
Inexpensive
Single blood draw
More reproducible than HOMA-IR
Karthik Balachandran Assessing Insulin Resistance
73. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
HOMA
QUICKI
QUICKI
Pros
Simple
Inexpensive
Single blood draw
More reproducible than HOMA-IR
Cons
No information on stimulated glucose and insulin systems
Mainly tells hepatic IR- less important than peripheral IR
Karthik Balachandran Assessing Insulin Resistance
74. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Cederholm and Wibell index
Gutt index
Avignon Index
Matsuda Index
Cederholm and Wibell index
Measures peripheral insulin sensitivity and muscular glucose
uptake
Values found in normal non-obese individuals were reported to
be about 79 ± 14 mg l2 /mmol/mIU/min, lower in obese
individuals
Karthik Balachandran Assessing Insulin Resistance
75. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Cederholm and Wibell index
Gutt index
Avignon Index
Matsuda Index
Cederholm and Wibell index
Cederholm and Wibell index
ISICederholm =
75000 + (G0 â G120)x1.15x180x0.19xm
120xGmeanxlog(Imean)
9
9where m is body weight and Gmean is mean glucose during OGTT and Imean
is mean insulin during OGTT
Karthik Balachandran Assessing Insulin Resistance
76. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Cederholm and Wibell index
Gutt index
Avignon Index
Matsuda Index
Gutt Index
Derived from Cederholm by omitting constant terms
The reference range for lean controls was 89± 39,
for obese 58 ±23 and for diabetic patients 23 ±19 mg l2
/mmol/mIU/min
Karthik Balachandran Assessing Insulin Resistance
77. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Cederholm and Wibell index
Gutt index
Avignon Index
Matsuda Index
Gutt Index
Gutt Index
ISI0,120 =
75000 + (G0 â G120)x0.19xm
120xGmeanxlog(Imean)
Karthik Balachandran Assessing Insulin Resistance
78. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Cederholm and Wibell index
Gutt index
Avignon Index
Matsuda Index
Avignon Index
Avignon proposed 3 insulin sensitivity indices:
Sib (derivedfrom fasting plasma insulin and glucose concentrations)
Si2h (derived from plasma insulin and glucose concentrations in
the120th min of OGTT) and
SiM (derived by averaging Sib and Si2h after balancing Sib by a
coefficient of 0.137 to give the same weight to both indices10
10Rita S PatarrËao, Wilford Wayne, and Maria Paula. âRevista Portuguesa de
Endocrinologia , Diabetes e Metabolismo Assessment of methods and indexes of
insulin sensitivityâ. 9.1 (2014), pp. 65â73, p. 4.
Karthik Balachandran Assessing Insulin Resistance
79. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Cederholm and Wibell index
Gutt index
Avignon Index
Matsuda Index
Avignon Index
Sib
Sib =
108
I0xG0xVD
Si2h
Si2h =
108
I120xG120xVD
SiM
SiM =
(0.137xSib) + Si2h
2
Karthik Balachandran Assessing Insulin Resistance
80. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Cederholm and Wibell index
Gutt index
Avignon Index
Matsuda Index
Matsuda Index
Composite measure of peripheral and hepatic insulin sensitivity
Calculated during fasting and OGTT
Along with disposition index, has excellent power for
prediction of type 2 diabetes
Karthik Balachandran Assessing Insulin Resistance
81. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Cederholm and Wibell index
Gutt index
Avignon Index
Matsuda Index
Matsuda Index
Matsuda Index
ISIMatsuda =
10, 000
pG0xI0xGmeanxImean
Disposition index
I0â30
G0â30
Karthik Balachandran Assessing Insulin Resistance
82. Belfiore Index
Compares insulin and glucose values measured (fasting, 0â1â2
h areas or 0â2 h areas) with the defined normal reference
values
83. Belfiore Index
Compares insulin and glucose values measured (fasting, 0â1â2
h areas or 0â2 h areas) with the defined normal reference
values
Values between 0 and 2
Normal - around 1
Overweight,obese,diabetes 1
85. Stumvoll index
Series of indices calculated using insulin and glucose values
during OGTT
Uses muliple linear regression
86. Stumvoll index
Stumvoll index
ISIStumvoll = 0.222 â 0.00333x BMI - 0.0000779 x I120-0.00541 x
age
ISIStumvoll = 0.156 â 0.0000459x I120-0.000321 xI0-0.0541 x G120
88. McAuley Index
Predicts insulin sensitivity in normal individuals
Regression analysis used to estimate the cut-off points and
the importance of various data for insulin resistance (fasting
concentrations of insulin, triglycerides, aspartate
aminotransferase, BMI, waist circumference)
89. McAuley Index
Predicts insulin sensitivity in normal individuals
Regression analysis used to estimate the cut-off points and
the importance of various data for insulin resistance (fasting
concentrations of insulin, triglycerides, aspartate
aminotransferase, BMI, waist circumference)
Bootstrap procedure used to find an index most strongly
correlating with insulin sensitivity index, corrected for fat-free
mass
90. McAuley Index
Predicts insulin sensitivity in normal individuals
Regression analysis used to estimate the cut-off points and
the importance of various data for insulin resistance (fasting
concentrations of insulin, triglycerides, aspartate
aminotransferase, BMI, waist circumference)
Bootstrap procedure used to find an index most strongly
correlating with insulin sensitivity index, corrected for fat-free
mass
Combination of fasting insulin and triglycerides predicted IR
best
91. Oral glucose insulin sensitivity
Uses data from OGTT
Correlates with HIEC
OGIS= f (G0, G90, G120, I0, I90, I120,D0)
92. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Cederholm and Wibell index
Gutt index
Avignon Index
Matsuda Index
1 Background
2 Assessment of IR
Direct Assessment
3 Surrogate Markers
HOMA
QUICKI
4 Insulin Sensitiviy Indices
Cederholm and Wibell index
Gutt index
Avignon Index
Matsuda Index
Karthik Balachandran Assessing Insulin Resistance
93. Biochemical markers
Figure: Biochemical markers11
11Bhawna Singh and Alpana Saxena. âSurrogate markers of insulin resistance:
A review.â World journal of diabetes 1.2 (May 2010), pp. 36â47. issn:
1948-9358.
94. Background
Assessment of IR
Surrogate Markers
Insulin Sensitiviy Indices
Cederholm and Wibell index
Gutt index
Avignon Index
Matsuda Index
Conclusion
Measurement of insulin sensitivity - mainly experimental
Available resources and expertise dictate choice of marker
For resource limited setting, HOMA or QUICKI
If IR is main part of study- clamp or FSIVGTT
Karthik Balachandran Assessing Insulin Resistance