leukotriene receptor antagonist attenuated airway inflammation and hyperresponsiveness in a double-stranded rna-induced asthma exacerbation model
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2017
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Abstract
Background: Viral infections are the most common triggers of asthma exacerbation, but the key molecules involved in this process have not been fully identified. Although cysteinyl leukotrienes (cysLTs) have been postulated as the key mediators, their precise roles remain largely unclear. To investigate the roles of cysLTs in virus-induced asthma exacerbation, we developed a murine model using a viral double-stranded RNA analog, polyinosinic–polycytidylic acid (poly I:C), and analyzed the effect of leukotriene receptor antagonist (LTRA) administration.
Methods: A/J mice were immunized with ovalbumin (OVA) + alum (days 0, 28, 42, and 49), followed by intranasal challenge with OVA (phase 1: days 50–52) and poly I:C (phase 2: days 53–55). Montelukast was administered during poly I:C challenge (phase 2) in the reliever model or throughout the OVA and poly I:C challenges (phases 1 and 2) in the controller model. Airway responsiveness to acetylcholine chloride was assessed, and bronchoalveolar lavage (BAL) was performed on day 56.
Results: Administration of poly I:C to OVA-sensitized and -challenged mice increased the number of eosinophils and levels of IL-13, IL-9, CCL3, and CXCL1 in BAL fluid (BALF) and tended to increase airway responsiveness. Montelukast significantly attenuated the poly I:C-induced increase in the number of eosinophils and levels of IL-13, IL-9, and CCL3 in BALF and airway hyperresponsiveness in both the reliever and controller models.
Conclusions: This is the first report showing that LTRA functionally suppressed the pathophysiology of a virus-induced asthma exacerbation model, suggesting the importance of cysLTs as a potential treatment target.
| Reference Key |
ujino2017allergologyleukotriene
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| Authors | ;Mariko Ujino;Naoya Sugimoto;Yuta Koizumi;Shoki Ro;Yasuhiro Kojima;Kamiyama-Hara Asae;Naomi Yamashita;Ken Ohta;Hiroyuki Nagase |
| Journal | current drug discovery technologies |
| Year | 2017 |
| DOI |
10.1016/j.alit.2017.05.004
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| URL | |
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