Drug Distribution Based on pH-pKa Relationships
Acidic drugs do NOT preferentially move toward alkaline environments in the body; instead, they become MORE IONIZED and TRAPPED in alkaline compartments due to the Henderson-Hasselbalch relationship, while their unionized (lipophilic) forms preferentially exist in and cross membranes from acidic environments. 1
Fundamental Principle: Ion Trapping
The distribution of acidic drugs follows the pH-partition hypothesis, where:
- Acidic drugs exist primarily in their unionized (lipophilic) form in acidic environments and can readily cross lipid membranes 1
- Once in alkaline compartments, acidic drugs become ionized (charged) and become trapped because ionized molecules cannot easily cross lipid membranes back 2, 1
- This creates a concentration gradient where acidic drugs accumulate in alkaline body compartments despite not being "attracted" there 3
Clinical Implications by Body Compartment
Gastrointestinal Absorption
- Acidic drugs are better absorbed in the acidic stomach environment (pH ~2-3) where they remain unionized and lipophilic 4
- Absorption is delayed or reduced in more alkaline intestinal environments (pH ~6-8) where ionization increases 4
- Women may have decreased oral bioavailability of acidic drugs like captopril due to decreased gastric acid secretion compared to men 4
Renal Excretion
- Acidic drugs become ionized and trapped in alkaline urine (pH >7), enhancing their excretion 4, 5
- This principle is exploited therapeutically: alkalinization of urine with sodium bicarbonate historically was used to increase uric acid excretion (though this practice has limitations) 4
- The solubility of uric acid increases from ~15 mg/dL at pH 5.0 to ~200 mg/dL at pH 7.0, demonstrating enhanced trapping in alkaline environments 4
Intracellular Distribution
- Acidic vesicles (pH 4.5-6.0) can trap basic drugs but allow acidic drugs to remain unionized and membrane-permeable 3
- During systemic acidosis, there is altered drug distribution as pH gradients across membranes change 4, 5
Important Caveats
The Henderson-Hasselbalch Equation Has Limitations
- Traditional calculations using the Henderson-Hasselbalch equation are inadequate for predicting actual transmembrane drug diffusion 2
- In vivo buccal absorption studies (pH 4-9) show that calculated unionized/ionized ratios do not correlate well with actual drug absorption 2
- Physiologically-based pharmacokinetic (PBPK) modeling provides more accurate predictions by incorporating dynamic pH changes and multiple transport mechanisms 1
pH-Dependent Factors Beyond Simple Ionization
- Drug transporters (P-glycoprotein, MRPs) can be more important than passive diffusion for some acidic drugs 4
- P-glycoprotein efficiently transports uncharged or weakly basic molecules, but acidic compounds can also be substrates 4
- Exercise-induced metabolic acidosis alters the biological chemistry of reactive species and drug behavior beyond simple pH-pKa relationships 4
Therapeutic Alkalinization Risks
- Alkalinization to enhance acidic drug excretion can cause metabolic alkalosis and calcium phosphate precipitation 4
- Xanthine (a metabolite when using allopurinol) has low solubility even at alkaline pH (13 mg/dL at pH 7.0), potentially causing xanthine-obstructive uropathy 4
- Current guidelines do not recommend routine sodium bicarbonate use for tumor lysis syndrome due to these complications 4
Practical Algorithm for Predicting Acidic Drug Behavior
- Identify the drug's pKa and compare to physiological pH of relevant compartments 1
- For acidic drugs with pKa 3-5: Expect significant ionization in plasma (pH 7.4), leading to trapping in blood and alkaline tissues 4, 1
- For weak acids with pKa 6-8: Distribution is more pH-sensitive and varies significantly between acidic (stomach, acidotic tissues) and alkaline (intestine, alkaline urine) environments 4, 6
- Consider active transport mechanisms that may override passive pH-partition effects, especially at blood-brain barrier and renal tubules 4, 1
- Account for pathophysiological pH changes (acidosis, alkalosis) that alter drug distribution beyond baseline predictions 4, 5, 7