Physiological Role
HOMA-IR (Homeostatic Model Assessment for Insulin Resistance) is an index calculated from two fasting measurements: insulin and blood glucose. The formula multiplies insulin concentration (in µIU/mL) by glucose concentration (in mg/dL), then divides by 405. The result reflects the balance between insulin production by the pancreas and cellular response to this hormone.
Insulin is a hormone secreted by the beta cells of the pancreas. Its primary role is to facilitate glucose entry into muscle, liver and fat cells. When tissues respond efficiently to insulin signaling, a small amount is sufficient to regulate blood glucose. HOMA-IR translates this efficiency into a single number.
A low HOMA-IR indicates that tissues absorb glucose with minimal insulin. A high HOMA-IR signals that the pancreas must produce more insulin to achieve the same result. This state, called insulin resistance, can remain invisible in a standard panel: blood glucose stays normal as long as the pancreas compensates. HOMA-IR makes this silent compensation visible.
Reference Ranges
These reference ranges are derived from scientific literature and may differ from your laboratory's reference values.
Source : MDCalc / BMC Endocrine Disorders, HOMA-IR Reference Intervals and Clinical Significance (2024)
Biological Significance
A HOMA-IR in the optimal zone reflects normal tissue sensitivity to insulin. This is the most favorable scenario for long-term metabolic health.
When HOMA-IR falls in the elevated zone, the pancreas produces more insulin than necessary to maintain blood glucose. This compensatory hyperinsulinemia is an early signal. It often precedes any detectable abnormality in fasting glucose or HbA1c by several years.
A very high HOMA-IR indicates marked tissue resistance to insulin. The pancreas operates under increased load to maintain glucose homeostasis. Cohort studies associate this state with increased cardiovascular and hepatic risk.
The value of HOMA-IR lies in its ability to reveal a drift before conventional markers. By combining insulin and glucose, it reveals an imbalance that neither shows alone. Longitudinal monitoring of this index provides a nuanced reading of metabolic health evolution.
Influencing Factors
Diet. The quality and quantity of carbohydrates directly influence HOMA-IR. A diet high in refined sugars and high-glycemic-index carbohydrates increases insulin demand. Fiber, protein and unsaturated fats slow glucose absorption and help maintain a favorable HOMA-IR.
Physical activity. Regular exercise improves tissue sensitivity to insulin. Muscle contraction stimulates glucose uptake independently of insulin via GLUT4 transporters. Both endurance and resistance training produce a favorable effect on HOMA-IR.
Body composition. Excess visceral adipose tissue is closely linked to insulin resistance. Visceral adipocytes release free fatty acids and cytokines that disrupt insulin signaling in peripheral tissues.
Sleep. Insufficient or poor-quality sleep impairs insulin sensitivity. Studies show that restricting sleep to five hours per night for one week is enough to measurably increase HOMA-IR.
Chronic stress. Cortisol promotes hepatic gluconeogenesis and reduces glucose uptake by muscle cells. Prolonged stress maintains cortisol levels that oppose insulin action.
Age. Insulin sensitivity naturally declines with age. This makes HOMA-IR monitoring particularly relevant after forty.
Berberine. This bioactive derived from barberry has extensive scientific literature on glucose metabolism. The Singular formulation engine integrates it when glycemic markers fall in elevated zones.
In the Singular Formula
HOMA-IR is part of the metabolic panel analyzed by Singular. Calculated from fasting insulin and fasting glucose, it provides an integrated reading of insulin sensitivity. These two markers taken separately cannot offer this cross-referenced view.
When HOMA-IR falls in the elevated or very elevated zones, the formulation engine activates a metabolic personalization rule. Berberine dosage is adjusted to a reinforced level to support glucose metabolism. This same rule also triggers in response to elevated fasting glucose, insulin or HbA1c, ensuring a coherent response across the entire glycemic profile.
Omega-3 EPA+DHA, magnesium and vitamin D3, whose influence on insulin sensitivity is documented in the literature, are part of the Singular formula. Their presence complements the targeted approach of berberine with broader metabolic support.
HOMA-IR is a derived index. Singular measures fasting insulin and fasting glucose in every panel, then automatically calculates HOMA-IR. This cross-referencing reveals compensated insulin resistance that neither insulin nor glucose reveals alone. HbA1c, also measured, completes this panel by reflecting glycemic exposure over three months.
Linked Bioactives
Scientific Studies
| Authors | Year | Type | Journal | |
|---|---|---|---|---|
| Matthews DR et al. | 1985 | Systematic Review | Diabetologia | View on PubMed |
Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man Foundational paper defining the HOMA model. From fasting glucose and insulin concentrations, the authors propose a simple index to estimate insulin resistance and beta-cell function. | ||||
| Wallace TM et al. | 2004 | Systematic Review | Diabetes Care | View on PubMed |
Use and abuse of HOMA modeling Critical review of HOMA usage in the literature. The authors clarify appropriate use contexts and the model's limitations. | ||||
| Bonora E et al. | 2000 | Clinical Trial | Diabetes Care | View on PubMed |
Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity Validation study showing that HOMA-IR closely mirrors the euglycemic hyperinsulinemic clamp, the gold standard for measuring insulin sensitivity. | ||||
| Gast KB et al. | 2012 | Meta-analysis | PLoS One | View on PubMed |
Insulin resistance and risk of incident cardiovascular events in adults without diabetes: meta-analysis Meta-analysis of 65 studies. The relative risk of coronary events is 1.64 for high HOMA-IR values in non-diabetic adults. | ||||
| Zhang X et al. | 2017 | Meta-analysis | Biosci Rep | View on PubMed |
Fasting insulin, insulin resistance, and risk of cardiovascular or all-cause mortality in non-diabetic adults: a meta-analysis Meta-analysis showing that high HOMA-IR is associated with increased risk of all-cause mortality (RR 1.34) and cardiovascular mortality (RR 2.11) in non-diabetic adults. | ||||
| Spiegel K et al. | 1999 | Clinical Trial | Lancet | View on PubMed |
Impact of sleep debt on metabolic and endocrine function Landmark study demonstrating that restricting sleep to four hours per night for six days significantly reduces glucose tolerance and insulin sensitivity. | ||||
| Guo J et al. | 2021 | Meta-analysis | Oxidative Medicine and Cellular Longevity | View on PubMed |
The Effect of Berberine on Metabolic Profiles in Type 2 Diabetic Patients: A Systematic Review and Meta-Analysis of Randomized Controlled Trials Meta-analysis of 46 randomized trials. Berberine significantly reduces HOMA-IR (mean difference: -0.71), fasting glucose and HbA1c. | ||||