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Biomarker

HOMA-IR

Homeostatic Model Assessment for Insulin Resistance

A calculated index from fasting glucose and insulin that estimates insulin resistance, the metabolic driver behind type 2 diabetes and a core aging-related biomarker.

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Summary What does HOMA-IR tell you about insulin resistance? Show / hide ↓

HOMA-IR is a calculation using fasting blood sugar and insulin to estimate insulin resistance, meaning how poorly the body responds to insulin. Higher values usually suggest greater insulin resistance, which is linked with type 2 diabetes, fatty liver, and heart disease. It is widely used because it needs only one fasting blood test, but it estimates insulin resistance rather than measuring it directly. Values above about 2.0 to 2.5 are sometimes used as a rough warning level in Western adults, but results depend on the laboratory, population, age, and body composition. HOMA-IR is less reliable in people who already have diabetes and cannot show whether the problem is mainly in the liver or elsewhere.

What this means for you: HOMA-IR is a useful, affordable estimate for tracking insulin resistance, especially before diabetes is established. Its cutoffs are not universal, so it should not be interpreted on its own.

solid evidence
Evidence tierTier 2, Strong human evidence, hard endpoints or biomarkers
Categoryinsulin resistance marker
Last verified2026-08-16

HOMA-IR (Homeostatic Model Assessment for Insulin Resistance) is a calculated index estimating insulin resistance from a single fasting blood draw. The original model, described by Matthews and colleagues in 1985, uses the product of fasting plasma insulin and fasting plasma glucose, divided by a constant; a higher value indicates greater insulin resistance. It is the most widely used surrogate of insulin resistance in epidemiological research because it requires only routine fasting labs rather than the gold-standard but laborious euglycemic-hyperinsulinemic clamp.

Why it matters for aging: insulin resistance is central to metabolic syndrome, type 2 diabetes, non-alcoholic fatty liver disease, and cardiovascular disease, and it tracks with several aging-related outcomes. Population studies use HOMA-IR to stratify cardiometabolic risk and to monitor response to diet, exercise, and weight-loss interventions; values tend to fall with improved fitness, fat loss, and reduced refined-carbohydrate intake.

Interpretation is population-dependent. There is no single universal cutoff, because insulin and glucose assay methods differ between laboratories and HOMA-IR distributions differ by ethnicity, age, and body composition. Rough working thresholds commonly cite values above roughly 2.0-2.5 as suggesting insulin resistance in many Western adult populations, but the appropriate reference range should be drawn from the specific assay and cohort. HOMA-IR is also less reliable in people with established diabetes, where beta-cell failure means the model's assumptions break down, and it does not distinguish hepatic from peripheral insulin resistance.

The model's strengths are simplicity, cost, and large accumulated evidence base; its weaknesses are assay-dependence, poorer performance in frank diabetes, and the fact that it estimates rather than directly measures insulin sensitivity. For high-stakes individual decisions, direct measures or dynamic tests (OGTT-derived indices, the clamp) remain preferable.

Plain takeaway: HOMA-IR is a cheap, well-validated estimate of insulin resistance from fasting glucose and insulin, useful for population stratification and tracking lifestyle response, but its cutoffs are assay- and population-specific and it is less reliable once diabetes is established.

Further reading

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Follow HOMA-IR through the chain: the mechanism that moves it, the molecule that targets it, the products that dose it, and the trials that tested it.

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