Several gene programs are induced in ciprofloxacin-treated human lymphocytes as revealed by microarray analysis

Emily Eriksson1, Arne Forsgren, Kristian Riesbeck

  • 1Department of Medical Microbiology, Lund University, Malmö University Hospital, Sweden.

Insights

The antibiotic ciprofloxacin, at high concentrations, alters gene expression in human immune cells, impacting key biological pathways. This suggests a potential stress response and highlights differences in gene expression analysis methods.

Area of Science:

  • Immunology
  • Molecular Biology
  • Pharmacology

Background:

  • Fluoroquinolones possess immunomodulatory effects.
  • These antibiotics can interfere with cytokine production.
  • Understanding ciprofloxacin's impact on gene expression is crucial.

Purpose of the Study:

  • To investigate the impact of ciprofloxacin on mRNA levels in activated human lymphocytes.
  • To characterize gene expression changes using cytokine gene expression microarrays.
  • To compare microarray data with quantitative reverse transcriptase-polymerase chain reaction (RT-PCR).

Main Methods:

  • Activated human lymphocytes were incubated with ciprofloxacin (5 and 80 µg/ml).
  • Gene expression profiling was performed using cytokine gene expression microarrays (R and D Systems, Clontech).
  • Quantitative RT-PCR was employed to validate microarray findings for specific cytokine mRNAs.

Main Results:

  • Ciprofloxacin at 80 µg/ml significantly altered mRNA levels, up-regulating 104 and down-regulating 98 transcripts.
  • Affected gene programs included interleukins, signal-transduction molecules, adhesion molecules, and apoptosis-related genes.
  • Quantitative RT-PCR confirmed up-regulation for 11 out of 12 tested cytokine mRNAs, showing higher sensitivity than one microarray.

Conclusions:

  • High concentrations of ciprofloxacin interfere with multiple gene programs in human lymphocytes.
  • These alterations are consistent with a mammalian stress response.
  • Discrepancies between different microarray platforms and RT-PCR highlight the importance of method selection for accurate gene expression analysis.

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