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Biology HL · Chapter 7: Cell Control and Communication

7.3 Animal Hormones and Blood-Glucose Control

Compare hormone classes and nervous signalling, then model antagonistic insulin–glucagon feedback and diabetes.

Estimated time: 108 minutes

IB syllabus: D3.3 · SL and HL

HL extensionC2.1

Hormones Are Blood-Borne First Messengers

Endocrine glands secrete hormones into extracellular fluid and then blood rather than through ducts. Circulation distributes the hormone widely, but only target cells with appropriate receptors respond. Hormones are effective at low concentrations and can coordinate many tissues. Endocrine signalling is often slower and longer-lasting than nervous signalling, although the contrast is not absolute: some hormonal responses are rapid, and neural circuits can sustain long-term changes.

Hormone chemistry includes peptides or proteins such as insulin, steroids derived from cholesterol such as testosterone and progesterone, and amino-acid derivatives such as epinephrine and thyroxine. Chemistry affects transport and receptor location. Water-soluble hormones circulate freely but usually use surface receptors; lipid-soluble steroids may require carrier proteins in blood and can cross target-cell membranes.

Insulin and Glucagon Form an Antagonistic Control System

Blood glucose normally fluctuates within a regulated range as glucose enters from the intestine, is used in respiration, stored or released. Pancreatic β cells detect rising glucose and secrete insulin. Insulin promotes glucose uptake in responsive muscle and adipose tissue, glycogen synthesis in liver and muscle, and other storage pathways. These effects lower the deviation and reduce further insulin stimulation.

When glucose falls, pancreatic α cells secrete glucagon. In liver, glucagon promotes glycogen breakdown and formation of glucose from non-carbohydrate substrates, increasing glucose release into blood. Insulin and glucagon are antagonistic because their overall effects oppose one another. Negative feedback does not hold glucose at one unchanging number; it limits departures while demand, meals and activity continue to vary.

Blood-glucose feedback laboratory

Set blood glucose, β-cell function and insulin sensitivity to distinguish normal regulation, insulin deficiency and resistance.

Detect · transduce · integrate · respond

Cell communication laboratory

Antagonistic control of blood glucosepancreasliverinsulin9.2 mmol dm⁻³74% uptake responsenegative feedback opposes deviation

Diabetes Can Reflect Missing Signal or Reduced Response

Type 1 diabetes results from autoimmune destruction of pancreatic β cells, leading to severe insulin deficiency. Without treatment, glucose uptake and storage are impaired, blood glucose rises and glucose may appear in urine. Its osmotic effect increases urine production, producing dehydration and thirst. Cells also shift metabolism, and dangerous ketoacidosis can develop. Insulin replacement and glucose monitoring are essential.

Type 2 diabetes begins mainly with insulin resistance: target tissues respond inadequately even though insulin is produced, and β cells may initially compensate with greater secretion. Over time β-cell function can decline. Genetic predisposition, age, adipose-tissue biology, diet and physical activity influence risk. Calling it simply a lifestyle disease is biologically incomplete and can encourage stigma; modifiable risks interact with inherited and environmental factors.

Persistent high glucose damages blood vessels and tissues, increasing risks to retina, kidney, nerves and cardiovascular system. Management may include dietary pattern, exercise, weight management where appropriate, oral medicines, injected receptor agonists or insulin, depending on disease and individual needs. Continuous glucose monitors measure interstitial glucose and reveal trends, while insulin pumps can automate part of delivery; neither removes the need for feedback-informed decisions.

Correlation Alone Does Not Establish Hormonal Cause

A statistical association between a hormone concentration and disease could arise because the hormone affects disease, disease affects the hormone, or another factor affects both. Stronger causal inference can come from longitudinal data, interventions, mechanistic evidence and genetic variants that alter exposure. Large sample size narrows random uncertainty but does not automatically remove confounding or reverse causation.

Test Yourself

A patient has 10.8 mmol dm⁻³ blood glucose. Treatment and storage responses lower it by 35%. What concentration remains?

Test Yourself

Two patients have the same high fasting glucose. Patient X has almost no circulating insulin; patient Y has high insulin but weak target-cell signalling. Which interpretation is strongest?

Exam questions on this topic

Practice focused questions or see how IB combines this topic with ideas from elsewhere in the course.