Resting Membrane Potentials

Overview of Neurons and Electrical Signals

  • Introduction to the discussion of how neurons fire electrical signals.

  • Focus on concepts related to membrane potentials.

  • Specific focus on resting membrane potential.

  • Learning outcome: Describe the ionic basis of the resting membrane potential.

Types of Membrane Potentials

  • Action Potentials

    • Responsible for sending signals over long distances in axons.

  • Graded Potentials

    • Used for short-distance communication.

    • Determine whether a neuron will fire an action potential.

  • Resting Membrane Potential

    • Keeps neurons ready to respond like a charged battery.

    • Essential for neuronal function.

Measuring Resting Membrane Potential

  • The resting membrane potential can be measured experimentally:

    • Use a microelectrode inserted inside a neuron.

    • An electrode is placed in the extracellular fluid to measure voltage difference.

    • Important to measure potential difference rather than absolute voltages.

    • Typical resting membrane potential for neurons is about -70 millivolts.

Mechanisms of Establishing Membrane Potentials

Basic Cell Model

  • Mammalian cells possess a phospholipid bilayer membrane impermeable to water and ions.

  • Both sodium and potassium ions initially present in equal concentrations inside and outside of the cell:

    • Results in no membrane potential initially.

Sodium-Potassium Pump (ATPase)

  • The sodium-potassium pump operates by:

    • Actively transporting sodium ions out of the cell and potassium ions into the cell using ATP.

    • For this model, it is assumed that one sodium ion is pumped out for every one potassium ion pumped in.

  • If this transport functioned perfectly:

    • All potassium ions would be inside the cell and all sodium ions outside, but this does not occur.

    • Charges remain balanced initially, thus retaining no membrane potential.

Leaky Potassium Channels

  • Introduction of leaky potassium channels:

    • Always open, allowing potassium ions to leak out along their concentration gradient.

    • Higher concentration of potassium inside the cell leading to a negatively charged interior as positive charges leave.

  • Electrochemical Equilibrium:

    • Equilibrium is reached when the electrical gradient balances out the concentration gradient for potassium ions.

    • Represents the resting membrane potential.

    • Analogized to a tug-of-war where both sides exert equal force, maintaining position.

Concentration Gradients and Membrane Potential

Relation Between Potassium Concentration and Membrane Potential

  • The size of the initial concentration gradient of potassium ions shapes the resting membrane potential:

    • Small Concentration Gradient:

    • Smaller resting membrane potential is generated.

    • Large Concentration Gradient:

    • Larger resting membrane potential is generated due to the higher number of potassium ions that leak out until equilibrium is met.

Nernst Equation

  • The equilibrium potential is defined mathematically by the Nernst equation, modified for ion concentration:

    • Nernst Equation components:

    • R: Gas constant

    • F: Faraday constant

    • T: Temperature in Kelvin

    • Z: Valence of the ion (charge)

    • [ ext{Ion}]: Concentration of the ion inside and outside the membrane.

    • For potassium at physiological temperature (37°C), the equilibrium potential calculates to approximately -90 millivolts.

Dominance of Potassium's Equilibrium Potential

  • The resting membrane potential is close to -70 millivolts, reflecting the influence of potassium ions, which establish much of the membrane potential's value.

  • Other ions such as sodium and chloride also contribute via leaky channels but are minor in comparison to potassium's effect.

Ion Concentrations Across Neuronal Membranes

  • Potassium ions: 150 millimolar (inside) vs. 5 millimolar (outside).

  • Sodium ions: 15 millimolar (inside) vs. 150 millimolar (outside).

  • Chloride ions: 10 millimolar (inside) vs. 110 millimolar (outside).

  • Important to remember these relative concentrations, focusing on potassium's predominance inside the cell.

Goldman Hodgkin Katz Equation

  • The Goldman equation predicts membrane potential based on multiple ions:

    • Factors in permeabilities of ions and allows predictions considering multiple species rather than just potassium.

Role of the Sodium-Potassium Pump in Membrane Potential

  • The sodium-potassium pump is electrogenic, creating a net negative charge within the cell.

    • However, this contributes minimally (about 5 millivolts) to the resting membrane potential.

  • Main role: Establishes concentration gradients that influence membrane potential rather than directly producing the resting potential.

Summary of Resting Membrane Potential

  • Dominated by potassium ion permeability and established by the sodium-potassium pump.

  • The resting potential is shaped closely by the equilibrium potential for potassium and can deviate due to affects from sodium and chloride channels.

  • Final understanding of the ionic basis of the resting membrane potential underscores the importance of potassium permeability.

Practical Implications of Potassium Levels

  • Example scenario presented regarding dietary potassium intake (specific focus on bananas):

    • Hypothetical ingestion of more than six bananas discussed.

  • Increased extracellular potassium concentration would disrupt normal gradients:

    • Decrease potassium concentration gradient would lead to reduced resting membrane potential (e.g. reaching around -60 millivolts).

  • Potential physiological consequences include elevated neuron excitability, possibly leading to seizure risks and action potential firing.

Blood-Brain Barrier Protection

  • Importance of the blood-brain barrier in maintaining neuronal homeostasis, selectively regulating ion entry, particularly potassium.

  • Contrasted with cardiac cells lacking such barriers, vulnerable to potassium fluctuations leading to arrhythmias.

Conclusion and Outlook

  • Final remarks on the interconnectedness of neuronal dynamics and diet.

  • Preview of next lecture's focus on graded potentials.