Hopefully this will prove to the doubters that there are genetic ...

Hopefully this will prove to the doubters that there are genetic reasons for the variation of efficacy and adverse side effective when taking Montelukast. I have several areas of concern (concerned citizen is concerned). One of the main areas is the reliability of Montelukast due to differences in genetics among populations. The cysLT1 (Singulair) receptor is a GENE. As I said before, it would be possible to predict those patients for which Montelukast would and would not be effective and those patients whose gene expression profile would cause them to have unwanted side effectives. I have been looking for a way to give reasonable proof of that which could be used to convince your doctors that Montelukast is not for everybody. I happened to locate a researcher who had invented and patented methods for predicting drug sensitivity and efficacy in inflammatory disease. I have quoted below from his patent application. He intended to provide a method for determining efficacy and drug sensitivity for pharmaceuticals which include leukotriene antagonists - Montelukast. Quoted from: Methods for predicting drug sensitivity in patients afflicted with an inflammatory disease US Patent Issued on December 12, 2006 Methods are disclosed for predicting the efficacy of a drug for treating an inflammatory disease in a human patient, including: obtaining a sample of cells from the patient; obtaining a gene expression profile of the sample in the absence and presence of in vitro modulation of the cells with specific cytokines and/or mediators; and comparing the gene expression profile of the sample with a reference gene expression profile, wherein similarities between the sample expression profile and the reference expression profile predicts the efficacy of the drug for treating the inflammatory disease in the patient. ----------------------------------------------------------- The field of pharmacogenomics measures differences in the effect of medications that are caused by genetic variations. Such differences are manifested by differences in the therapeutic effects or adverse events of drugs. For most drugs, the genetic variations that potentially characterize drug-responsive patients from non-responders remain unknown. --------------------------------------------------------- In another embodiment, the invention is directed to a method for predicting the efficacy in a human asthma patient of leukotriene antagonists including, but not limited to, montelukast (a.k.a., SINGULAIR™; Merck, Whitehouse Station, N.J.), zafirlukast (a.k.a., ACCOLATE™, AstraZeneca, Wilmington, Del.), and zileuton (a.k.a., ZYFLO™; Abbott Laboratories, Chicago, Ill.), comprising: obtaining a sample of cells from the patient; obtaining a gene expression profile from the sample in the absence and presence of in vitro modulation of the cells with specific mediators; and comparing the gene expression profile of the sample with a reference gene expression profile, wherein similarity in expression profiles between the sample and reference profiles predicts the efficacy in the human asthmatic patient of leukotriene antagonists. Many of the cells involved in causing airway inflammation are known to produce signaling molecules within the body called "leukotrienes." Leukotrienes are responsible for causing the contraction of the airway smooth muscle, increasing leakage of fluid from blood vessels in the lung, and further promoting inflammation by attracting other inflammatory cells into the airways. Oral anti-leukotriene medications have been introduced to fight the inflammatory response typical of allergic disease. These drugs are used in the treatment of chronic asthma. Recent data demonstrates that prescribed anti-leukotriene medications can be beneficial for many patients with asthma, however, a significant number of patients do not respond to anti-leukotriene drugs. -------------------------------------------------- The genes selected are those that have been determined to be differentially expressed in either a disease, drug-responsiveness, or drug-sensitive cell relative to a normal cell and confer power to predict the response to the drug. By comparing tissue samples from patients with these reference expression profiles, the patient's susceptibility to a particular disease, drug-responsiveness, or drug-resistance can be determined. http://www.patentstorm.us/patents/7148008-description.html The inventor's website: Hakon Hakonarson M.D. The Children's Hospital of Philadelphia http://stokes.chop.edu/research/profiles/?ID=251