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Inflammation

, Volume 16, Issue 5, pp 437–450 | Cite as

Time course of superoxide generation by leukocytes—The MCLA chemiluminescence system

  • László Prónai
  • Hiroe Nakazawa
  • Kohji Ichimori
  • Yoshinori Saigusa
  • Tomoichi Ohkubo
  • Kazuko Hiramatsu
  • Shigeru Arimori
  • János Fehér
Original Articles

Abstract

This study was performed to examine the pattern of Superoxide (O 2 ·) generation from leukocytes using the O 2 · specific chemiluminescence (CL) method.Cypridina luciferin analog, 2-methyl-6-(p-methoxyphenyl)-3,7-dihydroimidazo[1,2-alpha]pyrazin-3-one (MCLA) was used as a CL probe. The appropriate conditions of the MCLA method was first determined for the evaluation of the time course of O 2 · generation by leukocytes. The time course of O 2 · generation obtained by the MCLA-CL system was compared with that by the luminol-dependent CL, electron spin resonance (ESR)/spin trapping, and cytochromec systems. Following stimulation by three different stimulants (PMA, OZ, FMLP), leukocytes continuously generated O 2 · for up to 5 h in the MCLA-CL system, irrespective of the kind of stimulation. The curves obtained by generation ceased more rapidly in the luminol-CL, ESR/spin trapping, and cytochromec systems. A 50% activity of the initial value was observed at 70 min in the MCLA-CL system, but 30, 10 and 35 min in the other systems, respectively. The CL or O 2 · generation value decreased to less than 1% (possible termination) at 300, 90, 120 and 180 min, respectively. With the exception of ESR studies with OZ, the cell viability was not significantly affected in any of the trials. These results indicate that leukocytes can generate O 2 · much longer than previously estimated and that the MCLA-CL-system is the most suitable system for the measurement of the O 2 · generation by leukocytes.

Keywords

Public Health Internal Medicine Cell Viability Superoxide Electron Spin Resonance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Plenum Publishing Corporation 1992

Authors and Affiliations

  • László Prónai
    • 1
  • Hiroe Nakazawa
    • 2
  • Kohji Ichimori
    • 2
  • Yoshinori Saigusa
    • 2
  • Tomoichi Ohkubo
    • 3
  • Kazuko Hiramatsu
    • 4
  • Shigeru Arimori
    • 4
  • János Fehér
    • 1
  1. 1.Department of MedicineSemmelweis University Medical SchoolBudapestHungary
  2. 2.Department of PhysiologyTokai University School of MedicineIseharaJapan
  3. 3.Department of BiochemistryTokai University School of MedicineIseharaJapan
  4. 4.Department of MedicineTokai University School of MedicineIseharaJapan

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