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PharmacologyCase series / Retrospective2 min read · distilled by Vetree AI

Population pharmacokinetic modeling of sulfamethoxazole, sulfadiazine and sulfadimethoxine combined with trimethoprim in calves.

Boulanger M, Roques BB, Lacroix MZ, Claustre L, Devreese M, De Baere S, Viel A, Ferran AA · Veterinary Journal · 20 August 2026

Clinical bottom line

The standard 1:5 TMP:sulfonamide dose ratio rarely achieves synergistic plasma concentrations in calves.

Summary

This study characterized the parenteral pharmacokinetics (PK) of three trimethoprim/sulfonamide (TMP/S) combinations — TMP/sulfamethoxazole (SMX), TMP/sulfadiazine (SDZ), and TMP/sulfadimethoxine (SDMX) — in calves using population PK modeling. The current veterinary dosing ratio of TMP:S (1:5) is derived from human medicine and targets an in vivo free-concentration ratio of 1:19 for synergistic antibacterial activity. This study questioned whether this ratio is pharmacokinetically appropriate across different sulfonamides used in food-producing animals. Two-compartment models best described SMX, SDZ, and TMP data, while SDMX required a three-compartment model. TMP exhibited the highest clearance (1.41 L/h/kg) and shortest elimination half-life (1.39 h), contrasting sharply with SDMX, which had the lowest clearance (0.02 L/h/kg) and longest half-life (19.67 h). Monte Carlo simulations (n = 50,000 calves) revealed that at marketed doses, only 0.2% (TMP/SDZ), 11.6% (TMP/SMX), and 21% (TMP/SDMX) of simulated animals achieved target synergistic free-concentration ratios (1:10–1:50). These findings suggest that the conventional 1:5 dose ratio is inadequate for achieving the intended synergistic plasma ratios in calves, particularly for TMP/SDZ combinations. The authors emphasize the need for pharmacodynamic (PD) and PK/PD investigations to optimize dosing regimens and improve antimicrobial efficacy while supporting responsible antibiotic use in food-producing animals.

PharmacologyLarge AnimalInternal Medicine

This summary was distilled by AI and may occasionally misinterpret data. Confirm critical details with the primary literature before clinical application.