Suppression of sulfur mustard-increased IL-8 in human keratinocyte cell cultures by serine protease inhibitors: Implications for toxicity and medical countermeasures

2002 
The toxicity of the chemical warfare blistering agent sulfur mustard (2,2'-dichlorodiethyl sulfide; SM) has been investigated for nearly a century; however, the toxicological mechanisms of SM remain obscure and no antidote exists. The similarity of dermal-epidermal separation caused by SM exposure, proteolysis, and certain bullous diseases has fostered the hypothesis that SM vesication involves proteolysis and/or inflammation. Compound screening conducted by the US Army Medical Research Institute of Chemical Defense established that topical application of three tested serine protease inhibitors could reduce SM toxicity in the mouse ear vesicant model. Although most of the drugs with efficacy for SM toxicity in rodent models are anti-inflammatory compounds, no in vitro assay is in current use for screening of potential anti-inflammatory SM antidotes. IL-8 is a potent neutrophil chemotactic cytokine that is increased in human epidermal keratinocyte (HEK) cell cultures following exposure to SM and has been proposed as a marker for SM-induced inflammation. This study was conducted to establish in vitro screening of IL-8 in SM-exposed HEK as a possible model for evaluating candidate compounds prior to in vivo testing. We chose two protease inhibitors, one from those shown as successful in the MEVM (ethyl p-guanidinobenzoate hydrochloride, ICD 1579) and a prototypic inhibitor of trypsin, N-tosyl-L-lysine chloromethyl ketone (TLCK). TLCK (62.5 to 1000 μmol/L) or ICD 1579 (31.25 to 1000 μmol/L) was added to HEK cell cultures 1 h after SM exposure (200 μmol/L) and dose-dependently suppressed SM-increased IL-8. The suppression of SM-increased IL-8 by a class of drug candidate compounds such as protease inhibitors may provide a mechanistic marker that helps predict future medical countermeasures for SM toxicity and reduces the need for testing in animal models.
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