OBJECTIVE— To investigate the usefulness of the homeostasis model assessment as an index of insulin resistance (HOMA-IR) for evaluating the clinical course of patients with type 2 diabetes.

RESEARCH DESIGN AND METHODS— The usefulness of HOMA-IR and its relationship with insulin resistance assessed by the hyperinsulinemic-euglycemic clamp study (clamp IR) were evaluated in 55 Japanese patients with type 2 diabetes before and after treatment. The patients were subjected to diet (∼1,440-1,720 kcal/day) and exercise therapy (walking 10,000 steps daily) for 6 weeks during their hospitalization.

RESULTS— Univariate regression analysis disclosed a significant correlation between log-transformed HOMA-IR and log-transformed clamp IR before (r = -0.613, P < 0.0001) and after(r = -0.734, P < 0.0001) treatment. Neither the slopes(-0.71 ± 0.12 vs. -0.79 ± 0.09, F = 0.25, P =0.61) nor the intercepts (y-intercept = 1.67 vs. 1.70, x-intercept = 2.36 vs. 2.15, F = 0.02, P = 0.88) of the regression lines between HOMA-IR and clamp IR were significantly different before and after treatment. There was a significant correlation between the decrease in log-transformed HOMA-IR and the increase in clamp IR during treatment (r = -0.617, P < 0.0001).

CONCLUSIONS— HOMA-IR may constitute a useful method not only for diagnosing insulin resistance, but also for follow-up during the treatment of patients with type 2 diabetes.

Insulin resistance is currently being measured by using the glucose clamp technique (1). Although this method is highly sensitive and shows high reproducibility, it is time-consuming and very expensive. A rapid, accurate, and low-cost method for assessing insulin resistance would be very useful in clinical practice.

To date, several methods for evaluating insulin resistance have been proposed, including homeostasis model assessment (HOMA-IR), continuous infusion of glucose with model assessment, calculations of sensitivity indexes using insulin and glucose in the post—oral glucose load state, fasting insulin levels, and serum levels of sex hormone—binding globulin (SHBG)(2,3,4,5,6,7,8,9,10). Recently, the usefulness of HOMAIR as an indicator of insulin resistance in diabetic patients has been the focus of much attention(11,12,13). A significant correlation has been reported between the insulin resistance index calculated by HOMA and the hyperinsulinemic-euglycemic clamp (clamp IR)(11,12).

We previously reported that the serum levels of SHBG may be an index of insulin resistance only in the hyperinsulinemic state (before treatment)(7). The usefulness of HOMA as an index of insulin resistance during therapy of diabetes has not been as yet evaluated. To evaluate this, in the present study, we investigated whether HOMAIR is correlated with clamp IR before and after treatment.

A total of 55 patients with type 2 diabetes treated with diet alone and with sulfonylureas were enrolled in the present study (Table 1). BMI was estimated by dividing the body weight (in kilograms) by the square of the height (in meters).

Diabetes was diagnosed according to the criteria of the American Diabetes Association (14). Subjects with fasting plasma glucose levels ≥7.0 mmol/l were provisionally diagnosed as having diabetes. Thereafter, the subjects underwent a 75-g oral glucose tolerance test (OGTT) (Trelan G 75; Shimizu, Shizuoka, Japan), and those with fasting plasma glucose levels ≥7.0 mmol/l or 2-h plasma glucose levels≥11.1 mmol/l were diagnosed as having diabetes. Type 2 diabetes was defined according to the grade of insulin secretion, the age, the pattern of onset,and the existence of family history of diabetes.

On admission, 50 patients were treated with diet alone and 5 with sulfonylureas (glibenclamide 2.5-5.0 mg/day). None of the patients was being treated with insulin or insulin-sensitizing agents. Fifteen patients had peripheral neuropathy and simple diabetic retinopathy and 10 had microalbuminuria. Macrovascular complications were not detected.

Informed consent was obtained from all subjects before the beginning of the study.

Study design

After admission, the patients were subjected to diet and exercise therapy for 6 weeks. The dietary treatment was as follows: 1,440-1,720 kcal/day with a diet consisting of 20% (energy) protein, 25% fat, and 55% carbohydrates. The compliance of dietary therapy was checked by a dietitian twice a week. During the exercise therapy, the patients walked about 10,000 steps daily; the number of steps per day was counted using a pedometer, and the count was checked by a nurse on each day. Diet and exercise therapies were not modified during the course of the treatment.

The blood levels of glucose, HbAlc, and insulin; the values of clamp-IR, HOMA-IR, and the simple indexes of insulin sensitivity (the 30-min and 2-h glucose, 30-min and 2-h insulin, and 30-min and 2-h insulin sensitivity index [104/(insulin ± glucose)] obtained during a 75-g OGTT)(9,10);and body fat area and blood pressure were measured in all subjects within 1 week after admission and 1 week before discharge. Sulfonylureas were withdrawn 1 day before the clamp study; none of the patients received any drug after the first clamp study during treatment.

The plasma glucose level was measured by an automated enzymatic method. The HbAlc (normal value 4.3-5.8%) was measured by high-performance liquid chromatography. Serum insulin was measured using an immunoradiometric assay kit (Insulin Riabead II kit; Dainabot, Tokyo). This kit included 125I-labeled and unlabeled anti—human insulin mouse monoclonal antibodies. The intra- and interassay coefficients of variation of the assay were 1.9 and 2.0%, respectively.

Clamp IR was evaluated by the hyperinsulinemic-euglycemic clamp technique using the artificial pancreas (STG-22; Nikkiso, Tokyo)(1,7,15,16,17,18). In brief, at 8:00 A.M., two Teflon-coated cannulae were inserted; one was inserted into the left antecubital vein for infusion of insulin (Humulin R;Eli Lilly, Indianapolis, IN) and 10% glucose, and the other was inserted into the right contralateral heated hand vein for arterialized blood sampling. After baseline blood collections for glucose and insulin determinations, a priming dose of insulin was administered during the initial 10 min in a logarithmically decreasing manner to raise serum insulin rapidly to the desired level (1,200 pmol/l); this level of insulin was then maintained by a continuous insulin infusion at a rate of 13.44 pmol · kg-1· min-1 for 120 min. The mean insulin level reached a stable level between 90 and 120 min after starting the clamp study (before treatment 1,224.0 ± 208.8 pmol/l; after treatment 1,177.2 ± 232.8 pmol/l). Blood glucose was monitored continuously and maintained at the desired level(5.24 mmol/l) by infusing 10% glucose. The mean amount of glucose given during the last 30 min was considered as the glucose infusion rate, which was taken as the value of the clamp IR.

HOMA was used to evaluate insulin resistance before and after treatment(2). Assuming that normal subjects aged <35 years with normal weight have an IR of 1, the values for a patient can be calculated from the fasting concentrations of insulin and glucose using the following formula: fasting serum insulin (μU/ml) ×fasting plasma glucose (mmol/l)/22.5. Blood samples for HOMA-IR measurements were drawn from each subject from 8:00 A.M. after an overnight bed rest. We examined three separate insulin samples taken 15 min apart, and the averaged insulin level was used for the HOMA-IR calculation. To estimate the reproducibility of HOMA-IR, we analyzed a second HOMA-IR in all patients on another occasion within 5 days of the first HOMA-IR before and after treatment. The coefficient of variation for HOMA-IR before treatment was 10.2%and 9.8% after treatment.

The 75-g OGTT was started from 8:00 A.M. after an overnight bed rest(hunger for 11:00 h). Blood was taken at 0, 30, and 120 min, and plasma glucose and serum insulin levels were evaluated.

The body fat area was evaluated as previously described(19). The total cross-sectional area, the intra-abdominal visceral fat area, and the subcutaneous fat area were measured by abdominal computed tomography taken at the umbilical level. Any intraperitoneal region having the same density as the subcutaneous fat layer was defined as a visceral fat area.

Blood pressure was determined three times in the supine position after a 5-min rest.

Statistical analyses

Data are expressed as means ± SD. Student's t test was performed to compare the means of variables measured before and after treatment. The relationship of clamp IR with several clinical indexes of insulin sensitivity was evaluated by univariate regression analysis. Comparison of the regression lines, with respect to slopes and intercepts,between HOMA-IR and clamp IR before and after treatment was conducted by analysis of covariance; in this analysis, the F test was used to evaluate the difference between two regression coefficients. To approach normal distribution, the values of HOMA-IR and clamp IR were all transformed logarithmically before regression and covariance analysis. Student's t test and correlations were carried out using the StatView 4.0 software program (Abacus Concepts, Berkeley, CA) for the Macintosh. Analysis of covariance and regression analysis were performed using the PRISM 2.0 software program (Graph-Pad software, San Diego, CA) for the Macintosh. A probability value of P < 0.05 on two-sided tests was considered statistically significant.

The univariate regression analysis showed that HOMA-IR is significantly correlated with clamp IR (r = -0.625, P < 0.0001). Log-transformed HOMA-IR also significantly correlated with log-transformed clamp IR (r = -0.613, P < 0.0001)(Fig. 1).

Figure 1

Correlation between log-transformed HOMA-IR and log-transformed clamp IR before (○) and after (•) treatment. Log-transformed HOMA-IR was significantly correlated with log-transformed clamp IR before (r = -0.613, P < 0.0001) and after(r = -0.0001) treatment. Neither the slopes (-0.71< ± 0.12 vs. -0.79 ± 0.09, F = 0.25, P = 0.61) nor the intercepts (y-intercept = 1.67 vs. 1.70,x-inercept = 2.36 vs. 2.15, F = 0.02, P = 0.88) of the regression lines before and after treatment were significantly different.

Figure 1

Correlation between log-transformed HOMA-IR and log-transformed clamp IR before (○) and after (•) treatment. Log-transformed HOMA-IR was significantly correlated with log-transformed clamp IR before (r = -0.613, P < 0.0001) and after(r = -0.0001) treatment. Neither the slopes (-0.71< ± 0.12 vs. -0.79 ± 0.09, F = 0.25, P = 0.61) nor the intercepts (y-intercept = 1.67 vs. 1.70,x-inercept = 2.36 vs. 2.15, F = 0.02, P = 0.88) of the regression lines before and after treatment were significantly different.

Close modal

Concomitant to the improvement in the blood concentrations of glucose and HbAlc and to the decrease in BMI and visceral fat areas, a significant increase in clamp IR and a decrease in HOMA-IR were observed(Table 1). Patients walked a mean of 10,200 ± 1,200 steps/day during the whole treatment.

After therapy, HOMA-IR was inversely and significantly correlated with the clamp IR (r = -0.726, P < 0.0001). Similarly, there was also a significant correlation between log-transformed HOMA-IR and log-transformed clamp IR after treatment (r = -0.734, P <0.0001) (Fig. 1). The analysis of covariance showed that neither the slopes (-0.71 ± 0.12 vs. -0.79± 0.09, CI = -0.96 ± -0.45, F = 0.25, P =0.61) nor the intercepts (y-intercept = 1.67 vs. 1.70, x-intercept = 2.36 vs. 2.15, F = 0.02, P = 0.88) of the regression lines between log-transformed HOMA-IR and log-transformed clamp IR before and after treatment were statistically different in magnitude.

There was a significant correlation between the change in log-transformed HOMA-IR and that in clamp IR (r = -0.617, P <0.0001).

Significant correlations were observed between clamp IR and fasting serum insulin levels before (r = -0.444, P < 0.01) and after(r = -0.524, P < 0.0001) treatment. No significant correlations were observed between clamp IR and other simple indexes of insulin sensitivity during the oral glucose load before and after treatment.

The present study clearly demonstrated that HOMA-IR correlates significantly with clamp IR, not only before, but also after treatment in type 2 diabetic patients.

Oral insulin-sensitizing agents have been recently used in Japan for glycemic control in patients with type 2 diabetes. Although HOMA-IR is used as an index of insulin resistance in type 2 diabetic patients(20,21,22,23),its relation with clamp IR during the clinical course of type 2 diabetic patients has not been elucidated as of yet. In the present study, the slope and intercept of the regression lines between HOMA-IR and clamp IR did not significantly differ before and after treatment; this finding suggests that HOMA-IR is a reliable index of insulin resistance for the follow-up of type 2 diabetic patients. This is the first report that shows the usefulness of HOMA-IR as an index of insulin sensitivity during the clinical course of patients with type 2 diabetes.

Hanson et al. (9) reported that all indexes based on fasting insulin concentrations, especially HOMA-IR,show significant correlation with clamp IR in a large number of subjects with normal and impaired glucose tolerance(9). In the present study, we demonstrated similar findings in patients with type 2 diabetes. Overall, these observations illustrate the usefulness of HOMA-IR in subjects with various degrees of glucose tolerance(12).

Our present study showed improvement of clamp IR and HOMA-IR after treatment. Many studies demonstrated that daily walking in combination with diet therapy improved clamp IR in obese patients with type 2 diabetes(15,24). Although our diabetic patients were nonobese subjects based on the BMI values,they were metabolically obese with significant accumulation of visceral fat(25). Therefore, daily walking combined with diet therapy may be useful even in metabolically obese patients with type 2 diabetes (7). On the other hand, clamp IR mainly reflects peripheral insulin resistance,whereas HOMA-IR is thought to reflect essentially hepatic insulin resistance(12,26). It has been reported that exercise combined with diet therapy might improve fasting hyperglycemia caused by failure of insulin action in the liver itself(24). Thus, in our present study, improvement of HOMA-IR after treatment may be the result of improved hepatic insulin resistance. An additional finding in the present study was the significant correlation between changes in log-transformed HOMA-IR and clamp IR during treatment. The explanation for this association is not clear, but it may depend on the existence of a close relationship between the degree of lipolysis in adipose tissue and the flux of free fatty acids from adipocytes to the liver (27); however,further studies must be carried out to clarify this point.

In conclusion, our results suggest that HOMA-IR may constitute a useful method not only for diagnosing insulin resistance but also for follow-up during the treatment of patients with type 2 diabetes.

Abbreviations: clamp IR, insulin resistance assessed by the hyperinsulinemic-euglycemic clamp; HOMA-IR, homeostasis model assessment of insulin resistance; OGTT, oral glucose tolerance test; SHBG, sex hormone-binding globulin.

A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.

1.
DeFronzo RA, Tobin JD, Andres R: The glucose clamp technique: a method for the quantification of beta cell sensitivity to glucose and of tissue sensitivity to insulin.
Am J Physiol
237
:
E214
-E223,
1979
2.
Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC: Home-ostasis model assessment: insulin resistance and β-cell function from fasting glucose and insulin concentrations in man.
Diabetologia
28
:
412
-419,
1985
3.
Levy JC, Matthews DR, Hermans MP: Correct homeostasis model assessment (HOMA) evaluation uses the computer program (Letter).
Diabetes Care
21
:
2191
-2192,
1998
4.
Hosker JP, Matthews DR, Rudenski AS, Burnett MA, Darling P, Bown EG, Terner RC: Continuous infusion of glucose with model assessment:measurement of insulin resistance and beta-cell function in men.
Diabetologia
28
:
401
-411,
1985
5.
Avignon A, Boegner C, Mariano-Goulart D, Monnier L: Assessment of insulin sensitivity from plasma insulin and glucose in the fasting or post oral glucose-load state.
Int Obes
23
:
512
-517,
1999
6.
Laakso M: How good a marker is insulin level for insulin resistance?
Am J Epidemiol
137
:
959
-965,
1993
7.
Katsuki A, Sumida Y, Murashima S, Fujii M, Ito K, Tsuchihashi K,Murata K, Yano Y, Shima T: Acute and chronic regulation of serum sex hormone-binding globulin levels by plasma insulin concentrations in male noninsulin-dependent diabetes mellitus patients.
J Clin Endocrinol Metab
83
:
2515
-2519,
1996
8.
Ferrannini E, Mari A: How to measure insulin sensitivity.
J Hypertension
7
:
895
-906,
1998
9.
Hanson RL, Pratley RE, Bogardus C, Narayan KMV, Roumain ML,Imperatore G, Fagot-Campagna A, Pettitt DJ, Bennett PH, Knowler WC: Evaluation of simple indices of insulin sensitivity and insulin secretion for use in epidemiologic studies.
Am J Epidemiol
151
:
190
-198,
2000
10.
Sluiter WJ, Erkelens DW, Terpstra P, Reisma WD, Doorenbos H:Glucose tolerance and insulin release, a mathematical approach. II. Approximation of the peripheral insulin resistance after oral glucose loading.
Diabetes
25
:
245
-249,
1976
11.
Emoto M, Nishizawa Y, Maekawa K, Hiura Y, Kanda H, Kawagishi T,Shoji T, Okuno Y, Morii H: Homeostasis model assessment as a clinical index of insulin resistance in type 2 diabetic patients treated with sulfonylureas.
Diabetes Care
22
:
818
-822,
1999
12.
Bonora E, Targher G, Alberiche M, Bonadonna RC, Saggiani F, Zenere MB, Monauni T, Muggeo M: Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity.
Diabetes Care
23
:
57
-63,
2000
13.
Fukushima M, Taniguchi A, Sakai M, Doi K, Nagasaka S, Tanaka H,Tokuyama K, Nakai Y: Homeostasis model assessment as a clinical index of insulin resistance: comparison with the minimal model analysis (Letter).
Diabetes Care
22
:
1911
,
1999
14.
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus: Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus.
Diabetes Care
10
:
1183
-1197,
1997
15.
Katsuki A, Sumida Y, Murashima S, Murata K, Takarada Y, Ito K,Fujii M, Tsuchihashi K, Goto H, Nakatani K, Yano Y: Serum levels of tumor necrosis factor-α (TNF-α) are increased in obese patients with noninsulin-dependent diabetes mellitus.
J Clin Endocrinol Metab
83
:
859
-862,
1998
16.
Katsuki A, Sumida Y, Murashima S, Furuta M, Ito K, Sasaki R,Tsuchihashi K, Hori Y, Nakatani K, Yano Y, Gabazza EC, Adachi Y: Reversible peripheral insulin resistance in non-obese patients with noninsulin-dependent diabetes mellitus.
Med Sci Res
27
:
517
-518,
1999
17.
Kawamori R, Matsuhisa M, Kinoshita J, Mochizuku K, Niwa M, Arisaka T, Ikeda M, Kubota M, Wada M, Kanda T, Ikebuchi M, Tohdo R, Yamasaki Y:Pioglitazone enhances splanchnic glucose uptake as well as peripheral glucose uptake in noninsulin-dependent diabetes mellitus: AD-4833 Clamp-OGL Study Group.
Diabetes Res Clin Pract
41
:
35
-43,
1998
18.
Kawamori R, Kubota M, Ikeda M, Matsuhisa M, Kubota M, Morishima T,Kamada T: Quantitative determination of hepatic glucose uptake using an innovative approach: effect of strict glycemic regulation and exercise in diabetic subjects.
J Nutr Sci Vitaminol (Tokyo)
37
(Suppl.):
S35
-S42,
1991
19.
Tokunaga K, Matsuzawa Y, Ishikawa K, Tarui S: A novel technique for the determination of body fat by computed tomography.
Int J Obes
7
:
437
-445,
1983
20.
Kumar S, Boulton AJ, Beck-Nielsen H, Berthezene F, Muggeo M,Persson B, Spinas GA, Donoghue S, Lettis S, Stewart-Long P: Troglitazone, an insulin action enhancer, improves metabolic control in NIDDM patients:Troglitazone Study Group.
Diabetologia
39
:
701
-709,
1996
21.
Nagasaka S, Iwamoto Y, Ishikawa S, Kuzuya T, Saito T: Efficacy of troglitazone measured by insulin resistance index (Letter).
Lancet
350
:
184
,
1997
22.
Shimizu H, Tsuchiya T, Sato N, Shimomura Y, Kobayashi I, Mori M:Troglitazone reduces plasma leptin concentration but increases hunger in NIDDM patients.
Diabetes Care
21
:
1470
-1474,
1998
23.
Mori Y, Murakawa Y, Okada K, Horikoshi H, Yokoyama J, Tajima N,Ikeda Y: Effect of troglitazone on body fat distribution in type 2 diabetic patients.
Diabetes Care
22
:
908
-912,
1999
24.
Yamanouchi K, Shinozaki T, Chikada K, Nishizawa T, Ito K, Shimizu S, Ozawa N, Suzuki Y, Maeno H, Kato K, Oshida Y, Sato Y: Daily walking combined with diet therapy is a useful means for obese NIDDM patients not only to reduce body weight but also to improve insulin sensitivity.
Diabetes Care
18
:
775
-778,
1995
25.
Matsuzawa Y: Pathophysiology and molecular mechanism of visceral fat syndrome: the Japanese experience.
Diabetes Metab Rev
13
:
1
-13,
1997
26.
DeFronzo RA: Pathogenesis of type 2 diabetes: implications for metformin.
Drugs
58
(Suppl. 1):
29
-30,
1999
27.
Rebrin K, Steil GM, Mittelman SD, Bergman RN: Causal linkage between insulin suppression of lipolysis and supression of liver glucose output in dogs.
J Clin Invest
98
:
741
-749,
1996