In vitro cytotoxicity of tetracyclines and aminoglycosides in LLC-PK(1), MDCK and Chang continuous cell lines

J A Bacon1, D A Linseman, T J Raczniak

  • 1Investigative Toxicology, The Upjohn Company, 301 Henrietta Street, Kalamazoo, MI 49001, USA.

Insights

This study found that continuous cell lines can predict xenobiotic toxicity. Kidney cells showed low sensitivity to tetracyclines, while liver cells were more sensitive, aligning with in vivo observations.

Area of Science:

  • Pharmacology
  • Toxicology
  • Cell Biology

Background:

  • Assessing xenobiotic toxicity in vitro is crucial for drug development.
  • Understanding organ-specific cell line sensitivity to toxicants aids predictive toxicology.

Purpose of the Study:

  • To investigate whether organ-specific cell lines retain in vitro sensitivity to xenobiotic toxicity.
  • To compare the cytotoxicity of tetracyclines and aminoglycosides in kidney and liver cell lines.

Main Methods:

  • Utilized LLC-PK(1) (proximal kidney), MDCK (distal kidney), and Chang (human liver) cell lines.
  • Assessed cytotoxicity by measuring cytoplasmic lactate dehydrogenase (LDH) leakage.
  • Examined toxicity of chlortetracycline, demeclocycline, tetracycline, amikacin, gentamicin, and neomycin.

Main Results:

  • Kidney cell lines (LLC-PK(1), MDCK) showed minimal response to tetracyclines.
  • Chang liver cells exhibited higher sensitivity to tetracyclines, with toxicity ranked: demeclocycline > chlortetracycline > tetracycline.
  • Aminoglycoside toxicity in kidney cells followed specific rankings: LLC-PK(1) (amikacin > neomycin > gentamicin) and MDCK (neomycin > amikacin > gentamicin).
  • Results align with in vivo data, suggesting hormonal mediation for tetracycline nephrotoxicity and direct hepatotoxicity, and proximal tubule sensitivity to aminoglycosides.

Conclusions:

  • Continuous cell lines can effectively predict xenobiotic cytotoxicity.
  • Organ-specific cell lines provide valuable insights into differential toxic responses.
  • In vitro cytotoxicity assessments using cell lines can inform in vivo toxicity predictions.

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