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Methods in Pharmacology II - Lecture Notes

Slide 2: First-Order Kinetics

Key Points:

  • In first-order kinetics, the rate of drug elimination is proportional to the drug concentration.

  • This means that:

    • A constant fraction (not a constant amount) of the drug is eliminated per unit time.

  • The mathematical formula for this process is:

    C_{t}=C_0\cdot exp^{-\frac{CL_{\text{tot}}}{V_d}\cdot t}

    • C₀ = initial concentration

    • CL_{tot} = total clearance

    • V_d = volume of distribution

    • t = time

Explanation of Visuals:

  • Left: Diagram of a single dose entering the central compartment and being cleared over time.

  • Right (Graph A): Plasma concentration declines exponentially for drugs with different elimination rates (e.g., k_el = 0.05 vs 0.2/h).

  • Right (Graph B): Even with different initial doses, if elimination rate is the same, the curves are parallel (e.g., B and B').

Glossary:

  • Clearance (CL): The volume of plasma cleared of drug per time unit.

  • Volume of distribution (V_d): Theoretical space in the body where the drug distributes.

Key Takeaway:
In first-order kinetics, the drug is eliminated at a rate that depends on its current concentration — resulting in an exponential decay.


Slide 3: Rate of Drug Absorption

Key Points:

  • The absorption rate affects how quickly a drug reaches effective levels in the bloodstream.

  • Faster absorption → earlier and higher peak concentrations.

  • Slower absorption → delayed onset and possibly lower peak.

Explanation of Visuals:

  • Graph A: Simulated plasma levels with varying absorption half-times (0–6h).

    • IV injection (0 h) results in immediate peak (→ 0h means immediate absorption).

    • Oral forms show increasing delay and lower peaks with slower absorption.

  • Graph B: Real-world example with aminophylline:

    • Oral route has delayed onset.

    • IV route reaches peak much faster.

How could one achieve a perfectly stable absorption??

  • WIth being on a drip through an injection (like in the hospital)

Glossary:

  • Absorption half-time: Time required for 50% of the drug to be absorbed.

  • Minimum effective concentration: Lowest level at which the drug has therapeutic effects.

Key Takeaway:
The route and speed of drug absorption determine how quickly therapeutic levels are reached and how long the effect lasts.


Slide 4: First-Order vs. Zero-Order (Saturation) Kinetics

Key Points:

  • First-order kinetics:

    • Elimination rate depends on concentration.

    • Most drugs follow this pattern (e.g., theophylline, ethanol at low doses).

  • Zero-order kinetics:

    • Elimination rate is constant, regardless of concentration.

    • Happens when enzymes are saturated.

    • Seen in drugs like phenytoin and ethanol at high doses.

Explanation of Visuals:

  • Left Graph: First-order → predictable exponential decline.

  • Right Graph: Zero-order → linear decline due to enzyme saturation.

  • Right Graph: Zero-order kinetics → linear decline in concentration over time due to enzyme saturation.

    • This occurs when the metabolizing enzyme is fully saturated, meaning it is working at maximum capacity and cannot increase its rate further, even if more substrate is present.

    • As a result, the substance is eliminated at a constant amount per unit time (e.g., 10 mg/hour), rather than a constant percentage (as in first-order kinetics).

    🍺 Example: Ethanol

    • Ethanol (alcohol) metabolism follows zero-order kinetics at typical physiological concentrations.

    • The liver enzyme alcohol dehydrogenase becomes saturated, so ethanol is eliminated at a constant rate, regardless of the blood concentration — about 7–10 g/hour in an average adult.

    Important Distinction:

    • Zero-order = linear decline, fixed amount removed per time (e.g., ethanol).

    • First-order = exponential decline, fixed fraction removed per time (e.g., most drugs like caffeine, aspirin at low doses).

  • The blue and red lines show how increasing dose in zero-order kinetics makes predicting plasma levels very difficult.

Explanation of Visuals (Slide 4 Recap)

  • Left graph: First-order elimination curve – typical for most drugs and ethanol at low levels. The curve slopes downward more steeply at first and flattens as concentration drops.

  • Right graph: Zero-order elimination – straight line. Elimination happens at a fixed rate, no matter the starting concentration.

  • Blue and red lines show that in zero-order, increasing the dose leads to much more unpredictable plasma levels, making safe dosing difficult.

Glossary

  • Saturation: Enzymes are working at full capacity and can’t handle more drug.

  • Zero-order kinetics: A fixed amount is removed per unit time (e.g., 10 mg/hour).

  • First-order kinetics: A constant fraction is removed per unit time (e.g., 10%/hour).

Key Takeaway:

Ethanol is eliminated via zero-order kinetics at higher doses because its primary metabolic enzyme becomes saturated. This makes ethanol a classic and important example in pharmacology of how drug elimination can switch from predictable to risky, especially with overdose.

Key Takeaway:
While most drugs are eliminated by first-order kinetics, some switch to zero-order at high doses — making dosing and monitoring more challenging.


Slide 5: More Complex Models (Two-Compartment Model)

Key Points:

  • In two-compartment models, the drug distributes between:

    • Central compartment: Blood and highly perfused organs.

    • Peripheral compartment: Tissues like fat and muscle.

  • Drug is absorbed, moves between compartments, and is eventually eliminated.

Model Details:

  • Drug may accumulate in the peripheral compartment, creating a delay between plasma concentration and actual drug effect.

  • These models are needed for:

    • Drugs with slow tissue distribution.

    • Drugs with prolonged effects despite declining plasma levels.

Explanation of Visuals:

  • Diagram shows:

    • Drug entering central compartment.

    • Distribution to peripheral.

    • Elimination from the central compartment.

Glossary:

  • Two-compartment model: A pharmacokinetic model dividing the body into central and peripheral spaces.

  • Distribution phase: Initial period when drug spreads from blood to tissues.

Key Takeaway:
Two-compartment models are more accurate for drugs that distribute unevenly in the body — helping predict effects and plasma levels more reliably.

Slide 6: Proteresis (Clockwise) and Hysteresis (Counterclockwise)

Key Points:

  • These concepts describe nonlinear relationships between drug concentration and effect over time:

A. Proteresis (Clockwise Hysteresis)
  • Effect is stronger at earlier time points even when drug concentration is the same later.

  • May occur due to:

    • Tolerance or desensitization,

    • Antagonist formation,

    • Receptor downregulation.

B. Hysteresis (Counterclockwise Hysteresis)
  • Effect is stronger at later time points for the same concentration.

  • Often due to:

    • Delayed distribution of drug to the site of action,

    • Active metabolites,

    • Sensitization or upregulation.

Explanation of Visuals:

  • Two graphs showing effect vs. concentration over time.

  • Arrows point to how effect curves loop differently based on drug behavior.

Glossary:

  • Hysteresis: Lag between concentration and effect.

  • Proteresis: Clockwise hysteresis; diminishing effect.

  • Desensitization: Reduced receptor response over time.

Key Takeaway:
These time-dependent effects show that drug action cannot always be predicted by plasma concentration alone, especially for drugs with delayed distribution or receptor adaptation.


Slide 7: Antipyretic Analgesics (Overview)

Key Points:

  • Antipyretic analgesics are drugs that reduce fever (antipyretic) and pain (analgesic).

  • One of the earliest and most famous is:

    • Acetylsalicylic acid (ASA, Aspirin®) introduced in 1899 by Bayer AG.

Examples of Antipyretic Analgesics:
  • Metamizole (Novalgin®)

  • Ibuprofen (Brufen®)

  • Diclofenac (Voltaren®)

  • Naproxen (Proxen®)

  • Paracetamol (Panadol®)

Explanation of Visuals:

  • Top: Historical photo of early aspirin tablets.

  • Middle: Modern antipyretic drugs in blister packaging.

Glossary:

  • Analgesic: Pain reliever.

  • Antipyretic: Fever reducer.

Key Takeaway:
Antipyretic analgesics are widely used to treat fever and pain, with aspirin being the historical milestone in this class.


Slide 8: Antipyretic Analgesics – Effects & Side Effects

Key Points:

Therapeutic Effects:
  • Analgesic: Pain relief

  • Antipyretic: Fever reduction

  • Anti-inflammatory: Reduces swelling

Common Side Effects and Risks:
  • Upper gastrointestinal (GI) irritation: Nausea, ulcers

  • Bleeding: Especially due to platelet inhibition

  • Kidney impairment

  • Hyperuricemia: Elevated uric acid, risk of gout

Explanation of Visuals:

  • Background image evokes natural plant sources of some analgesics (e.g., willow bark for aspirin).

Glossary:

  • GI tract: Gastrointestinal system (stomach, intestines).

  • Hyperuricemia: Too much uric acid in blood, can cause gout.

Key Takeaway:
While antipyretic analgesics are effective for fever, pain, and inflammation, they come with notable risks — especially to the stomach and kidneys.


Slide 9: Acetylsalicylic Acid (Aspirin®)

Key Points:

  • 1897: Synthesized by Felix Hoffmann and Arthur Eichengrün at Bayer.

  • 1899: Launched commercially as Aspirin.

  • First used as a painkiller, fever reducer, and anti-inflammatory.

  • Later used for:

    • Cardiovascular protection (anti-platelet effect),

    • Pandemic treatment (e.g., flu in early 20th century).

Explanation of Visuals:

  • Top: Timeline of key dates in aspirin’s development.

  • Bottom: Historical photos of its inventors and the chemical structure of acetylsalicylic acid.

Glossary:

  • Acetylsalicylic acid (ASA): Active ingredient in aspirin.

  • Platelet inhibition: Prevents blood clotting.

Key Takeaway:
Aspirin is one of the most significant and versatile drugs in history, originally introduced for pain and fever but later found to have life-saving cardiovascular uses.

Slide 10: Other Antipyretic Analgesics – NSAIDs

Key Points:

  • NSAIDs = Non-Steroidal Anti-Inflammatory Drugs.

  • These drugs reduce:

    • Pain (analgesic effect)

    • Fever (antipyretic effect)

    • Inflammation (anti-inflammatory effect)

Common NSAIDs with chemical structures shown:
  • Indomethacin (MSD, 1963)

  • Ibuprofen (Boots, 1960/1969)

  • Diclofenac (Geigy, 1985)

  • Naproxen

  • Flurbiprofen

Glossary:

  • NSAIDs: Drugs that reduce inflammation without being steroids.

Key Takeaway:
NSAIDs form a chemically diverse group of drugs that share a common therapeutic profile: pain relief, fever reduction, and inflammation control.


Slide 11: Discovery of the Mechanism of NSAIDs

Key Points:

  • NSAIDs work by blocking prostaglandin synthesis, a key mediator of pain and inflammation.

  • Prostaglandins are produced from arachidonic acid via the COX enzyme (cyclooxygenase).

  • Discovery timeline:

    • 1971: John Vane shows aspirin inhibits prostaglandin synthesis.

    • He was awarded the Nobel Prize in 1982 alongside Sune Bergström and Bengt Samuelsson.

Explanation of Visuals:

  • Left: Biochemical pathway showing prostaglandin production.

  • Right: Photos of the three scientists and molecular diagrams.

Glossary:

  • Prostaglandins: Lipid compounds that cause pain, fever, and inflammation.

  • Cyclooxygenase (COX): Enzyme converting arachidonic acid into prostaglandins.

Key Takeaway:
The anti-inflammatory effect of NSAIDs is due to their ability to block the enzyme COX, which stops prostaglandin production.


Slide 12: Mechanism of NSAIDs (Pathway Diagram)

Key Points:

  • NSAIDs inhibit COX enzymes, specifically:

    • COX-1: Constitutive enzyme → involved in protection of stomach lining and kidney function.

    • COX-2: Inducible enzyme → upregulated during inflammation.

Drug Selectivity:
  • Non-selective NSAIDs: Inhibit both COX-1 and COX-2 (e.g., ibuprofen, naproxen).

  • COX-2 selective inhibitors (coxibs): Aim to reduce inflammation with fewer gastric side effects (e.g., celecoxib).

Explanation of Visuals:

  • Central diagram shows the arachidonic acid cascade leading to prostaglandins and thromboxanes.

  • NSAIDs block COX, reducing pro-inflammatory prostaglandins.

Glossary:

  • Thromboxanes (TxA₂): Promote blood clotting and vasoconstriction.

  • Coxibs: COX-2-specific NSAIDs.

  • NSAIDs (nonsteroidal anti-inflammatory drugs)

Key Takeaway:
NSAIDs block prostaglandin production by inhibiting COX enzymes; COX-2 inhibitors aim to minimize inflammation while avoiding COX-1-related side effects.


Slide 13: Mechanism of NSAIDs (Text Summary)

Key Points:

1. Enzyme Inhibition:
  • NSAIDs inhibit COX enzymes in inflammatory cells.

  • This reduces prostaglandins, which mediate:

    • Pain

    • Fever

    • Inflammation

2. Undesired Side Effects (mostly from COX-1 inhibition):
  • Gastric mucosa irritation → ulcers, GI bleeding

  • Impaired kidney function

  • Increased bleeding tendency (via thromboxane inhibition)

3. Desired Effects:
  • Anti-inflammatory: Less swelling, redness, and heat

  • Analgesic: Pain relief

  • Antipyretic: Fever reduction

  • Antithrombotic (e.g., low-dose aspirin)

Glossary:

  • Thromboxane: Promotes blood clotting; inhibited by aspirin.

  • GI bleeding: Common NSAID-related side effect due to stomach lining irritation.

Key Takeaway:
While NSAIDs are effective against pain and inflammation, they also carry risks—especially to the GI tract and kidneys—due to their action on COX-1.

Slide 14: Biologically Active Prostaglandins (Pathway Overview)

Key Points:

  • Arachidonic acid, a fatty acid in cell membranes, is the precursor for prostaglandins, prostacyclin, and thromboxane.

  • These molecules are made via the cyclooxygenase (COX) pathway.

  • The products are bioactive lipids that regulate various physiological and pathological processes.

Explanation of Visuals:

  • Central molecule: Arachidonic acid

  • Arrows point to different derivatives:

    • PGD₂, PGE₂, PGF₂α (various prostaglandins)

    • PGI₂ (prostacyclin)

    • TXA₂ (thromboxane A₂)

Glossary:

  • Prostaglandins: Lipid mediators involved in inflammation, fever, and more.

  • Cyclooxygenase (COX): Enzyme that converts arachidonic acid into prostaglandins.

  • Bioactive lipids: Molecules that signal or regulate biological functions.

Key Takeaway:
Arachidonic acid is converted by COX enzymes into several biologically active molecules, which play key roles in inflammation, blood flow, and clotting.


Slide 15: Biologically Active Prostaglandins (Functions)

Key Points:

This slide categorizes the main types of arachidonic acid-derived molecules and their major biological roles:

Prostaglandins (PGs):
  • Promote inflammation, vasodilation, and pain

  • Regulate fever and gastric protection

  • Support kidney function

Prostacyclin (PGI₂):
  • Vasodilation

  • Inhibits platelet aggregation (prevents clotting)

Thromboxane (TXA₂):
  • Promotes vasoconstriction

  • Stimulates platelet aggregation (encourages clotting)

Explanation of Visuals:

  • Table format showing:

    • Each compound

    • Their physiological effects

    • Often opposing roles (e.g., prostacyclin vs. thromboxane)

Glossary:

  • Vasodilation: Widening of blood vessels.

  • Vasoconstriction: Narrowing of blood vessels.

  • Platelet aggregation: Clumping of platelets to form blood clots.

Key Takeaway:
Prostaglandins, prostacyclins, and thromboxanes have diverse — and sometimes opposing — roles in inflammation, blood pressure regulation, and clotting.


Slide 16: Two Cyclooxygenases (COX-1 vs. COX-2)

Key Points:

COX-1:
  • Always active in most tissues.

  • Supports normal functions ("housekeeping enzyme"):

    • Gastric protection

    • Platelet function

    • Kidney blood flow

COX-2:
  • Induced only during inflammation (by cytokines or tissue injury).

  • Responsible for:

    • Pain

    • Swelling

    • Fever

Clinical Implications:

  • Non-selective NSAIDs inhibit both COX-1 and COX-2, causing both anti-inflammatory effects and GI side effects.

  • COX-2 inhibitors (e.g. celecoxib) aim to avoid GI issues while still reducing inflammation.

Explanation of Visuals:

  • Split-box comparing COX-1 and COX-2 roles.

  • Highlighting therapeutic vs. side effect profiles.

Glossary:

  • Constitutively expressed: Always active.

  • Inducible enzyme: Only activated when needed (e.g., during inflammation).

  • Cytokines: Inflammatory signaling proteins.

Key Takeaway:
COX-1 supports tissue health and homeostasis, while COX-2 drives inflammation — making selective inhibition a therapeutic goal.


Slide 17: Two Cyclooxygenases and Their Binding Sites

Key Points:

  • COX-1 and COX-2 have similar structures, but their active sites differ:

    • COX-2 has a larger and more flexible binding pocket.

    • Makes it accessible for different drugs

  • This difference enables:

    • Selective inhibition of COX-2 by certain drugs (coxibs),

    • While sparing COX-1 to reduce gastric side effects.

Explanation of Visuals:

  • Top: 3D models comparing COX-1 and COX-2 enzyme binding sites.

  • Bottom: Structural diagram showing drug binding to each isoform.

Glossary:

  • Binding pocket: Part of an enzyme where a drug or molecule fits and interacts.

  • Selective inhibitor: A drug that targets one form of an enzyme but not another.

Key Takeaway:
The structural difference in COX enzymes allows for selective COX-2 inhibitors, offering anti-inflammatory effects with fewer gastrointestinal side effects.

Slide 18: Two Cyclooxygenases – Specific COX-2 Inhibition

Key Points:

  • Selective COX-2 inhibitors (coxibs) were developed to:

    • Retain anti-inflammatory and analgesic effects,

    • Avoid COX-1-associated side effects, especially GI irritation.

Examples of COX-2 Inhibitors (Look at the marked endings of the names → indicate drugs that inhibit COX2):
  • Rofecoxib (Vioxx®)

  • Celecoxib (Celebrex®)

  • Etoricoxib (Arcoxia®)

Benefits of COX-2 Selectivity:
  • Reduced risk of:

    • Stomach ulcers

    • Gastrointestinal bleeding

  • Maintains anti-inflammatory action

Glossary:

  • Coxibs: A class of NSAIDs that selectively inhibit COX-2.

  • Side effects: Unintended effects of a drug, e.g., GI irritation with traditional NSAIDs.

Key Takeaway:
Selective COX-2 inhibitors were designed to minimize gastrointestinal side effects while preserving the therapeutic actions of NSAIDs.


Slide 19: Aspirin – A Special Case (Historical Context)

Key Points:

  • Aspirin (acetylsalicylic acid) was one of the first NSAIDs, widely used since its commercial launch by Bayer.

  • It’s well known for its:

    • Anti-inflammatory

    • Pain-relieving

    • Fever-reducing properties

  • Also effective as an anti-thrombotic agent (blood thinner).

Explanation of Visuals:

  • Image: Vintage Aspirin® packaging from Bayer.

Key Takeaway:
Aspirin is a historically and pharmacologically significant NSAID, unique in its long-lasting effect on platelet function.


Slide 20: Aspirin – A Special Case (Mechanism and Duration)

Key Points:

  • Aspirin irreversibly inhibits COX enzymes, especially COX-1 in platelets.

  • Platelets cannot make new COX enzymes (they lack nuclei), so the effect lasts for their entire lifespan (~10 days).

  • This makes aspirin especially effective for:

    • Preventing blood clots

    • Reducing risk of heart attacks and strokes

Clinical Relevance:

  • Even low doses (75–100 mg/day) are enough to inhibit platelet COX-1.

  • This prolonged action makes aspirin unique among NSAIDs.

  • Since a proportion of platelets is replaced each day from the bone marrow, this inhibition gradually abates but a small daily dose of aspirin (e.g. 75mg/day) is all that is required to suppress platelet function to levels which benefit patients at risk for myocardial infarction and other cardiovascular problems.

Glossary:

  • Irreversible inhibition: Enzyme activity is permanently blocked.

  • Platelets: Blood cells that help with clotting; aspirin inhibits their aggregation.

Key Takeaway:
Aspirin’s irreversible inhibition of platelet COX-1 gives it a lasting anti-thrombotic effect, making it a cornerstone for cardiovascular disease prevention.


Slide 21: Aspirin – Mechanism Illustrated

Key Points:

  • Aspirin inhibits both COX-1 and COX-2, but its effect on platelets (COX-1) is the most clinically significant.

  • This leads to reduced production of thromboxane A₂ (TxA₂), a molecule that promotes:

    • Vasoconstriction

    • Platelet aggregation

Therapeutic Actions:
  • Low-dose aspirin (75–100 mg/day):

    • Reduces risk of heart attack, stroke

    • Used as cardiovascular prophylaxis

  • Higher doses (500 mg+):

    • Needed for analgesic and anti-inflammatory effects

Explanation of Visuals:

  • Left: Diagram showing aspirin blocking COX in platelets.

  • Right: Summary box listing the dual effects depending on dose.

Glossary:

  • Thromboxane (TxA₂): Promotes blood clotting and vessel constriction.

  • Prophylaxis: Preventive treatment.

Key Takeaway:
Aspirin's dose-dependent actions make it unique — small doses protect the heart, while higher doses fight inflammation and pain.

Slide 22: Aspirin – A Special Case (Mechanism Recap)

Key Points:

  • Low-dose aspirin (e.g. 75–100 mg) selectively inhibits platelet COX-1 in the portal circulation (gut-liver system) before it enters systemic circulation.

  • This results in:

    • Reduced thromboxane A₂ synthesis → decreased platelet aggregation.

    • Long-lasting inhibition (up to 7–10 days) of platelet function.

Clinical Significance:
  • Used for secondary prevention of:

    • Heart attacks

    • Strokes

Explanation of Visuals:

  • Diagram showing how low-dose aspirin acts before liver metabolism, blocking platelet COX-1 early and systemically.

Glossary:

  • Portal circulation: Blood flow from the gut to the liver.

  • Secondary prevention: Preventing a second occurrence of a disease (e.g., a second heart attack).

Key Takeaway:
Low-dose aspirin irreversibly inhibits platelet COX-1 in the portal system, giving it a lasting anti-thrombotic effect ideal for cardiovascular protection.


Slide 23: Classical Drug Discovery – General Stages

Key Points:

Drug discovery is a stepwise process involving several key phases:

  1. Target Identification: Find a biological molecule involved in a disease.

  2. Target Validation: Confirm that influencing the target improves disease outcomes.

  3. Lead Identification: Find chemicals that affect the target.

  4. Candidate Optimization: Improve chemical properties (efficacy, safety).

  5. Pre-Clinical Testing: In vitro and animal testing to evaluate safety and mechanism.

  6. Clinical Trials (Phases I–III): Human studies.

  7. Approval: Regulatory review (e.g. FDA).

  8. Post-Marketing (Phase IV): Monitor long-term effects and rare side effects.

Glossary:

  • Lead compound: A promising chemical with desired biological activity.

  • Pre-clinical: Before human testing begins.

Key Takeaway:
Classical drug discovery is a multi-stage process that moves from molecular research to clinical application over many years.


Slide 24: Classical Drug Development – Timeline & Phases

Key Points:

This slide illustrates a timeline and resource overview for drug development:

  • Drug Discovery: 3–6 years

    • 5,000–10,000 compounds tested

    • ~250 selected for further testing

  • Preclinical: 1–2 years

    • 5–10 compounds enter

  • Clinical Development:

    • Phase I: Safety in 20–100 healthy volunteers

      • About half of the preclinically developed compounds get here.

    • Phase II: Efficacy and dose range in 100–500 patients

      • About another half gets cut out.

    • Phase III: Large-scale testing in 1,000–5,000 patients

      • About every fifteenth compound getts to this phase.

  • Regulatory Approval: ~1–2 years

    • Drug submitted for approval (e.g. to FDA or EMA)

  • Phase IV: Post-market monitoring

Explanation of Visuals:

  • Long horizontal bar shows duration and narrowing of candidates.

  • Emphasizes cost, time, and attrition rate.

Glossary:

  • Attrition: Loss of drug candidates along the development pipeline.

Key Takeaway:
Drug development is lengthy, expensive, and selective — only a few compounds from thousands make it to market.


Slide 25: Classical Drug Discovery – Success Rate & Volunteer Scale

Key Points:

  • Only 1 out of ~10,000 compounds screened makes it to market.

  • The process takes 10–15 years on average.

  • Clinical phases require increasing numbers of human participants:

    • Phase I: ~100

    • Phase II: ~500

    • Phase III: ~5,000

Financial and Logistical Impact:
  • Each phase gets more expensive and complex.

  • FDA review alone takes ~0.5–2 years.

Explanation of Visuals:

  • A funnel-like diagram shows number of compounds and volunteers decreasing/increasing per phase.

Glossary:

  • FDA: U.S. Food and Drug Administration — a key regulatory body.

  • Clinical trials: Studies on humans to evaluate drug safety and efficacy.

Key Takeaway:
Classical drug discovery is resource-intensive, with a high failure rate — but necessary to ensure safe, effective medications reach patients.

Slide 26: Re-Profiling / Re-Purposing

Key Points:

  • Re-purposing (also called re-profiling) refers to finding new therapeutic uses for existing drugs.

  • Instead of starting from scratch, this approach shortens development time and reduces risk and cost.

  • It still follows parts of the classical drug development pipeline but skips early discovery steps.

Advantages:
  • Faster transition to clinical testing (from ~6.5 years instead of ~12+).

  • Uses data mining to identify potential matches between known drugs and new indications.

Glossary:

  • Data mining: Analyzing large datasets to find patterns (e.g., drug-disease associations).

  • Re-profiling: Using an old drug for a new disease.

Key Takeaway:
Re-purposing offers a faster and cost-effective route to bring therapies to patients by reusing known drugs for new indications.


Slide 27: Re-Profiling / Re-Purposing – Examples

Key Points:

  • This slide presents a list of successfully re-purposed drugs, such as:

    • Thalidomide (from sedative to cancer treatment)

    • Sildenafil (Viagra) (from hypertension to erectile dysfunction)

    • Methotrexate (from cancer to autoimmune diseases)

    • Hydroxychloroquine (anti-malarial re-used in autoimmune diseases)

  • These examples show how a drug’s known mechanism or off-target effects can be beneficial in unrelated diseases.

Glossary:

  • Off-target effects: Unexpected drug actions on systems other than the intended target.

  • Indication: A disease or condition for which a drug is used.

Key Takeaway:
Many well-known drugs have been successfully re-purposed for entirely different medical conditions — highlighting the value of pharmacological flexibility.


Slide 28: Only Small Molecules? (Molecular Size Comparison)

Key Points:

  • While small molecules are common in drug development (e.g., aspirin), biologicals are increasingly important:

    • Therapeutic antibodies

    • Recombinant proteins (e.g., hormones)

    • Immunosuppressants

  • These molecules are much larger:

    • Small molecule: ~0.3 kDa

    • TNF-alpha: ~25.6 kDa

    • TNF-alpha receptor: ~55 kDa

Explanation of Visuals:

  • Circles illustrate size differences between molecule types.

Glossary:

  • kDa (kilodalton): Unit of molecular weight (larger = heavier).

  • Biologicals: Protein-based drugs derived from living cells.

Key Takeaway:
Not all drugs are small molecules — modern therapies increasingly use large biological molecules like antibodies and receptors.


Slide 29: Only Small Molecules? (Antibodies Example)

Key Points:

  • This slide continues the size comparison, adding a real-world antibody drug example:

    • Infliximab (Remicade®), a monoclonal antibody used against TNF-alpha.

    • Molecular weight: ~144 kDa — significantly larger than typical small molecules.

Application:
  • Used in autoimmune diseases (e.g., Crohn’s, rheumatoid arthritis).

  • Binds TNF-alpha, a key inflammatory cytokine.

Explanation of Visuals:

  • 3D structure of infliximab shown for context.

  • Size circles again compare small molecule vs. antibody vs. receptor.

Glossary:

  • Infliximab: Antibody drug that neutralizes TNF-alpha.

  • Monoclonal antibody: Lab-made antibody targeting a specific molecule.

Key Takeaway:
Drugs like infliximab demonstrate how large biologicals can precisely target disease molecules, expanding treatment options beyond small molecules.

Slide 30: Only Small Molecules? (Growth of Biologicals)

Key Points:

  • Biological drugs (e.g., antibodies, recombinant proteins) have seen rapid growth over the last two decades.

  • The graph shows:

    • Steady increase in biological approvals and market share from ~2000 onward.

    • Clear trend: Biologics are becoming dominant in the pharmaceutical landscape.

Main Types:
  • Therapeutic antibodies

  • Hormonal proteins

  • Immunosuppressants

  • Antidiabetics

Glossary:

  • Biologics: Drugs derived from living organisms or their components.

  • Small molecules: Chemically synthesized drugs, typically <1 kDa in size.

Key Takeaway:
While small molecules still exist, biologics are increasingly important in modern medicine — offering precise, targeted therapies for complex diseases.


Slide 31: Pharmacoeconomics – Cost of Drug Therapies

Key Points:

  • Pharmacoeconomics evaluates the cost-effectiveness of medications, especially in public healthcare systems.

  • The table (from the 2017 German Arzneimittelreport) shows:

    • Per-patient costs of therapies for selected diseases.

    • Variation in price between drug types and treatment areas.

Key Findings:
  • Cancer drugs and biologics are often the most expensive.

  • Treatments for chronic diseases like rheumatoid arthritis can cost tens of thousands of euros per patient annually.

Glossary:

  • Per-patient cost: Average annual cost to treat one person with a drug.

  • Health insurance burden: Total cost paid by healthcare systems.

Key Takeaway:
Some life-saving drugs come with extremely high treatment costs, making pharmacoeconomic analysis essential for healthcare policy and budgeting.


Slide 32: Pharmacoeconomics – Insurance Costs

Key Points:

  • This table breaks down total reimbursement costs to health insurers per disease and medication group.

  • It highlights:

    • High-spending disease areas, like cancer, diabetes, and autoimmune diseases.

    • The growing financial burden of modern therapies (e.g., biologics).

Use in Decision-Making:
  • Helps insurers and governments:

    • Prioritize funding

    • Negotiate drug prices

    • Support cost-effective interventions

Glossary:

  • Reimbursement: Payment by insurance or government for drug costs.

  • Cost-effectiveness: Relationship between cost and therapeutic benefit.

Key Takeaway:
Pharmacoeconomics supports smart healthcare decisions by comparing therapeutic benefits to treatment costs at a population level.


Slide 33: Animal Models of Human Disease

Key Points:

  • Animal models are essential for:

    • Testing drug safety and efficacy

    • Understanding disease mechanisms

Types of Validity:
  • Face validity: Animal symptoms look like human disease.

  • Construct validity: Same biological cause as human disease.

  • Predictive validity: Same response to treatment.

Challenges:
  • Some diseases are hard to model:

    • Diseases unique to humans (e.g., Alzheimer’s)

    • Diseases with unknown causes

    • Psychiatric disorders

Glossary:

  • Animal model: Use of animals to mimic human disease for research.

  • Pathophysiology: Biological mechanisms behind disease symptoms.

Key Takeaway:
While animal models are vital for preclinical research, they often struggle to replicate complex human diseases — especially psychiatric or idiopathic conditions.

Slide 34: Genetically Modified Mice in Pharmacology

Key Points:

Genetically modified mice help model human diseases and test drugs. There are three main types:

1. Knockout Mice:
  • A gene is inactivated ("knocked out").

  • Used to study:

    • Whether a gene is important for a disease.

    • If a gene is the target of a drug.

2. Knock-in / Point Mutated Mice:
  • A specific mutation is inserted (e.g., from a human disease).

  • Useful for modeling genetic disorders and drug binding to altered proteins.

3. Humanized Mice:
  • Contain human genes or proteins.

  • Helpful when a drug only works on the human version of a protein.

Glossary:

  • Knockout: Gene is completely removed.

  • Knock-in: A gene is modified, often to mimic a human mutation.

  • Humanized: Mouse expresses a human gene/protein.

Key Takeaway:
Genetically modified mice allow precise modeling of human diseases and help evaluate the effects of new drugs in a controlled, biologically relevant way.


Slide 35: Clinical Trials – Core Concepts

Key Points:

  • Controlled clinical trials compare a new treatment to:

    • A placebo

    • An active placebo

    • A standard treatment

Key Design Elements:
  • Randomization: Assigns participants to treatment groups randomly to reduce bias.

  • Pseudo-randomization: Less rigorous version; may introduce bias.

  • Double-blind: Neither the patient nor the doctor knows which treatment was given → eliminates placebo effect and observer bias.

Glossary:

  • Placebo: Inactive substance used as a control.

  • Double-blind: Ensures unbiased results by keeping treatment assignment hidden.

Key Takeaway:
Robust clinical trial design (randomized and double-blinded) ensures that the outcomes reflect true drug effects, not bias or expectation.


Slide 36: Clinical Trials – Statistical Considerations

Key Points:

Statistical Factors:
  • Power: Probability of detecting a true effect.

  • Effect size: Magnitude of drug impact.

  • Sample size: Number of participants.

  • Bias: Sources include design flaws, publication bias, and patient selection.

Meta-Analysis:
  • Combines data from multiple studies for a stronger overall conclusion.

  • Helps uncover hidden effects or reinforce findings.

Interim Analyses:
  • Ongoing evaluation during a trial to ensure safety and effectiveness.

Key Outcome Measures:
  • Subjective outcomes (e.g., pain ratings) must be interpreted carefully.

  • Objective outcomes (e.g., blood pressure) are more reliable.

  • NNT (Number Needed to Treat): Number of patients who must be treated to benefit one person.

  • NNH (Number Needed to Harm): Number needed to cause one adverse effect.

Glossary:

  • NNT / NNH: Help quantify drug benefits vs. risks in clinical terms.

  • Meta-analysis: A "study of studies."

Key Takeaway:
Good clinical trials rely on careful statistics and clear outcome measures to interpret whether a drug truly works—and whether it’s worth the risk.

Slide 37: Clinical Trials – The Four Phases

Key Points:

Clinical trials are conducted in four main phases, each with a specific purpose:

Phase 1:
  • Participants: Healthy volunteers (usually 20–100).

  • Focus:

    • Pharmacokinetics (how the drug moves through the body).

    • Tolerability (early safety and side effects).

Phase 2:
  • Participants: Small group of patients with the disease.

  • Focus:

    • Therapeutic efficacy (does it work?).

    • Optimal dose selection.

Phase 3:
  • Participants: Large number of patients in controlled trials.

  • Focus:

    • Efficacy under realistic conditions (how well it works in daily life).

    • Safety and side effects.

Phase 4:
  • Conducted after drug approval (post-marketing).

  • Focus:

    • Long-term safety and tolerability in a broader population.

Glossary:

  • Pharmacokinetics: How a drug is absorbed, distributed, metabolized, and excreted.

  • Tolerability: How well patients can handle the drug without major side effects.

  • Post-marketing: Surveillance of drug use after it's on the market.

Key Takeaway:
Clinical trials progress from testing in healthy volunteers to widespread patient use, ensuring a drug is safe, effective, and usable under real-life conditions before and after approval.