Abstract:
The disclosure is directed to novel predictive methods and personalized therapies for treating dry eye disease (DED). Specifically, this disclosure relates to methods of treating a patient having DED by selectively administering a TNFα antagonist, e.g., a TNFα antibody, such as LME636, to the patient on the basis of that patient being genetically predisposed to have a favorable response to treatment with the TNFα antagonist. Also disclosed herein are transmittable forms of information, diagnostic methods, and kits useful in predicting the likelihood that a patient having DED will respond to treatment with a TNFα antagonist, e.g., a TNFα antibody, such as LME636.
Abstract:
The disclosure is directed to novel predictive methods and personalized therapies for treating dry eye disease (DED). Specifically, this disclosure relates to methods of treating a patient having DED by selectively administering a TNFα antagonist, e.g., a TNFα antibody, such as LME636, to the patient on the basis of that patient being genetically predisposed to have a favorable response to treatment with the TNFα antagonist. Also disclosed herein are transmittable forms of information, diagnostic methods, and kits useful in predicting the likelihood that a patient having DED will respond to treatment with a TNFα antagonist, e.g., a TNFα antibody, such as LME636.
Abstract:
The invention provides methods for predicting therapeutic responsiveness of a subject suffering from cognitive impairments or dysfunctions, psychotic and/or neurodegenerative disorders to an alpha 7 nicotinic acetylcholine receptor activator treatment.
Abstract:
The invention features methods of identifying patients as being likely to respond to anti-VEGF therapy. Furthermore, in those patients identified as failing to include one or more of the above ophthalmic response markers, the invention features treatment with an EPO antagonist (e.g., alone, or in combination with a VEGF antagonist).
Abstract:
The invention provides methods for predicting therapeutic responsiveness of a subject suffering from cognitive impairments or dysfunctions, psychotic and/or neurodegenerative disorders to an alpha 7 nicotinic acetylcholine receptor activator treatment.
Abstract:
The disclosure is directed to novel predictive methods and personalized therapies for treating dry eye disease (DED). Specifically, this disclosure relates to methods of treating a patient having DED by selectively administering a TNFα antagonist, e.g., a TNFα antibody, such as LME636, to the patient on the basis of that patient being genetically predisposed to have a favorable response to treatment with the TNFα antagonist. Also disclosed herein are transmittable forms of information, diagnostic methods, and kits useful in predicting the likelihood that a patient having DED will respond to treatment with a TNFα antagonist, e.g., a TNFα antibody, such as LME636.
Abstract:
The invention provides methods for predicting therapeutic responsiveness of a subject suffering from cognitive impairments or dysfunctions, psychotic and/or neurodegenerative disorders to an alpha 7 nicotinic acetylcholine receptor activator treatment.
Abstract:
The invention provides methods for predicting therapeutic responsiveness of a subject suffering from cognitive impairments or dysfunctions, psychotic and/or neurodegenerative disorders to an alpha 7 nicotinic acetylcholine receptor activator treatment.
Abstract:
The invention provides methods for predicting therapeutic responsiveness of a subject suffering from cognitive impairments or dysfunctions, psychotic and/or neurodegenerative disorders to an alpha 7 nicotinic acetylcholine receptor activator treatment.
Abstract:
The invention provides methods for predicting therapeutic responsiveness of a subject suffering from cognitive impairments or dysfunctions, psychotic and/or neurodegenerative disorders to an alpha 7 nicotinic acetylcholine receptor activator treatment.