Insulin Resistance Explained: The Metabolic Thread Behind Many Chronic Conditions

Level 1, Fundamentals

In brief

Insulin resistance is a reduced response of muscle, liver and fat tissue to insulin, compensated for years by higher insulin secretion. It usually develops long before glucose rises into the diabetic range and links type 2 diabetes, fatty liver disease, hypertension, dyslipidaemia, polycystic ovary syndrome and cardiovascular disease. It is identified from a combination of clinical features and laboratory patterns, and is highly responsive to changes in diet, activity, sleep and weight.

Type 2 diabetes is usually diagnosed on the day a blood test crosses a threshold. Biologically, that day is late in the story. For years, often more than a decade, the body has been working harder to keep glucose in check, secreting more insulin to overcome tissues that respond to it less well. During that time, the same underlying process has been affecting the liver, blood vessels, blood pressure, lipids and, in women, reproductive hormones. Insulin resistance is the thread that runs through these conditions, and recognising it early is one of the most valuable skills in preventive and functional practice.

What insulin does

Insulin is often described simply as the hormone that lowers blood sugar. Its actions are broader, and understanding them explains why resistance to insulin has such wide effects.

  • In muscle, insulin promotes glucose uptake and storage as glycogen. Muscle is the largest site of glucose disposal after a meal.
  • In the liver, insulin suppresses glucose production and promotes storage, and influences fat synthesis.
  • In fat tissue, insulin inhibits the release of fatty acids and promotes storage.
  • In the kidneys, it promotes sodium retention.
  • In the ovaries, it acts with other hormones to influence androgen production.
  • In the brain, it contributes to appetite regulation.

Crucially, insulin resistance is selective. Tissues can become resistant to some of insulin’s actions, such as suppressing liver glucose output, while remaining sensitive to others, such as stimulating fat synthesis in the liver or sodium retention in the kidney. High insulin levels therefore continue to drive some effects even as others fail. This helps explain why insulin resistance is associated with fatty liver, raised triglycerides and hypertension.

How insulin resistance develops

The development of insulin resistance involves several interacting processes, which is why it responds to several kinds of intervention.

Fat in the wrong places

When energy intake exceeds the capacity of healthy subcutaneous fat to store it, fat accumulates in the abdomen and in organs such as the liver, pancreas and muscle. Fat in these tissues interferes with insulin signalling. One influential model of type 2 diabetes proposes a twin cycle: fat accumulation in the liver causes hepatic insulin resistance and raised glucose output, while fat in the pancreas impairs insulin secretion. Removing that fat through weight loss can reverse both, which is thought to explain diabetes remission after substantial weight loss.

Inflammation

Expanding visceral fat releases inflammatory signals that impair insulin action, linking insulin resistance to chronic low grade inflammation.

Inactivity

Muscle contraction takes up glucose through pathways that do not require insulin, and regular activity improves insulin sensitivity for hours to days. Inactivity removes this effect and reduces muscle mass.

Sleep and circadian disruption

Short sleep and misaligned sleep timing reduce insulin sensitivity in experimental studies within days. Shift workers have higher rates of type 2 diabetes.

Stress hormones and medicines

Cortisol opposes insulin’s actions, and chronic stress and glucocorticoid treatment both impair glucose regulation. Several other medicines, including some antipsychotics, have similar effects.

Genetics, ethnicity and life course

Family history is a strong risk factor. People of South Asian ancestry, among others, tend to develop insulin resistance and type 2 diabetes at lower levels of body weight than people of European ancestry, which is why some countries use lower BMI thresholds for risk assessment in these groups. Low birth weight and early life nutrition also influence later risk.

The long road to diabetes

A study following civil servants in the Whitehall II cohort traced glucose, insulin sensitivity and insulin secretion over many years before diabetes was diagnosed. Insulin sensitivity was already declining more than a decade beforehand, while glucose remained within the normal range for much of that time, compensated by rising insulin secretion. Glucose then rose sharply in the few years before diagnosis, as compensation failed.

The clinical implication is clear. A normal fasting glucose does not exclude insulin resistance, and waiting for glucose to rise misses years of opportunity to intervene.

Recognising insulin resistance

There is no single routine test for insulin resistance, so it is usually recognised from a combination of clinical features and laboratory patterns.

Clinical clues

  • Central weight gain and increasing waist circumference
  • Family history of type 2 diabetes
  • Acanthosis nigricans, dark velvety skin in folds such as the neck and armpits
  • Skin tags
  • Polycystic ovary syndrome, or a history of gestational diabetes
  • Fatty liver on imaging
  • Hypertension, gout
  • Energy dips and hunger a few hours after carbohydrate rich meals, which are suggestive but not specific

Laboratory patterns

MeasureWhat it suggestsLimitations
Fasting glucose and HbA1cValues in the upper part of the normal range, or rising over time, suggest increasing strainMay remain normal for years while insulin resistance progresses
Triglycerides and HDL cholesterolHigh triglycerides with low HDL is a typical pattern; the ratio is a useful markerAffected by alcohol, recent meals and genetics
Fasting insulinElevated values suggest compensatory hypersecretionAssays are poorly standardised; values vary between laboratories
HOMA IRAn estimate of insulin resistance from fasting glucose and insulinUseful in research and for trends; no universal clinical cut off
ALT and liver imagingFatty liver often accompanies hepatic insulin resistanceALT can be normal in fatty liver
Oral glucose tolerance test with insulinShows the dynamic response to a glucose loadTime consuming; interpretation of insulin values not standardised

The reference method in research, the hyperinsulinaemic euglycaemic clamp, is impractical in clinical settings. In practice, a combination of clinical features and a consistent laboratory pattern is usually enough to identify insulin resistance with reasonable confidence.

Why it matters beyond diabetes

Insulin resistance is associated with a cluster of conditions that share its mechanisms: metabolic dysfunction associated fatty liver disease, hypertension, atherogenic dyslipidaemia, polycystic ovary syndrome, gout, some forms of cognitive decline and cardiovascular disease. For practitioners, this means that recognising insulin resistance in one context should prompt attention to the others. A woman with polycystic ovary syndrome needs her metabolic risk assessed; a man with fatty liver needs his glucose and blood pressure checked.

Levers for improvement

Insulin resistance is among the most modifiable conditions in medicine.

  • Weight loss, particularly loss of visceral and liver fat, improves insulin sensitivity substantially.
  • Physical activity, both aerobic and resistance exercise, improves insulin sensitivity independently of weight loss. Short walks after meals reduce the glucose rise from those meals.
  • Dietary pattern: reducing refined carbohydrates and sugar sweetened drinks, increasing fibre and protein, and adopting patterns such as the Mediterranean diet all have supporting evidence. Several dietary approaches can work; adherence matters more than the specific label.
  • Sleep: improving duration and regularity, and treating sleep apnoea.
  • Stress management, particularly where cortisol related effects are likely.
  • Medication, where indicated and prescribed by a doctor, such as metformin in people at high risk.

An illustrative case

A 44 year old engineer of South Asian ancestry has a BMI of 25, which would not usually trigger concern, but a waist circumference that has increased by 8 cm in 5 years. His father and uncle developed type 2 diabetes in their fifties. His fasting glucose and HbA1c are within range but have risen slightly each year; his triglycerides are high and HDL low; his ALT is mildly raised and an ultrasound shows fatty liver. He sleeps 6 hours and rarely exercises.

Together these point strongly to insulin resistance despite his normal glucose. His plan focuses on reducing refined carbohydrates at dinner, a daily walk after meals, 2 sessions of resistance exercise a week and an earlier bedtime. At 6 months his waist has fallen by 5 cm, triglycerides and ALT have improved, and his HbA1c has stabilised. The trajectory, rather than any single number, is the measure of success.

The thread worth following

Insulin resistance rarely announces itself. It is inferred from patterns, trends and context, and it rewards practitioners who look beyond single values and diagnostic thresholds. Few conditions offer as much preventive leverage, or respond as reliably to changes patients can make.

Questions clinicians ask

What is insulin resistance?
A reduced response of muscle, liver and fat tissue to insulin, compensated for years by higher insulin secretion before glucose rises.
Can you have insulin resistance with normal blood sugar?
Yes. Glucose often stays normal for many years while insulin sensitivity declines.
How is insulin resistance identified?
Usually from clinical features such as central weight gain and family history, combined with laboratory patterns such as high triglycerides, low HDL and rising glucose markers.

Sources

  1. Tabák AG, Jokela M, Akbaraly TN, et al. Trajectories of glycaemia, insulin sensitivity, and insulin secretion before diagnosis of type 2 diabetes: an analysis from the Whitehall II study. The Lancet. 2009;373(9682).
  2. Taylor R. Type 2 diabetes: etiology and reversibility. Diabetes Care. 2013;36(4).
  3. Matthews DR, Hosker JP, Rudenski AS, et al. Homeostasis model assessment: insulin resistance and beta cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7).
  4. DeFronzo RA, Tobin JD, Andres R. Glucose clamp technique: a method for quantifying insulin secretion and resistance. American Journal of Physiology. 1979;237(3).
  5. Spiegel K, Leproult R, Van Cauter E. Impact of sleep debt on metabolic and endocrine function. The Lancet. 1999;354(9188).
  6. Lean MEJ, Leslie WS, Barnes AC, et al. Primary care led weight management for remission of type 2 diabetes (DiRECT): an open label, cluster randomised trial. The Lancet. 2018;391(10120).

Continue your learning

Assessing insulin resistance beyond a single value

Assessing insulin resistance accurately, beyond a single fasting value, is the focus of the Blood Sugar Dysfunction module in IIFM’s 6 month Functional Medicine and Clinical Nutrition program, followed by the Cardiometabolic Diet Therapy module that teaches how to address it.

This article is for the education of healthcare professionals. It is not a substitute for individual medical advice, diagnosis or treatment, and does not change any practitioner’s scope of practice. Regulation and guidelines differ between countries.