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First-in-class neuroprotective therapy in acute ischemic stroke, poststroke cognitive impairment and mechanistically related diseases by network pharmacology of common signalling targets

Subject Area Molecular and Cellular Neurology and Neuropathology
Experimental Models for the Understanding of Nervous System Diseases
Pharmacology
Term from 2020 to 2022
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 449729893
 
Final Report Year 2022

Final Report Abstract

Translational stroke research has yielded only one thrombolytic and no neuroprotective therapy over the last decades. Indeed, there is no specific therapy for approximately 45% of patients who suffer from post-stroke disabilities. Interestingly, only single-drug targets were hitherto pursued, whilst we now know that complex diseases are precisely defined by multitarget modules. In addition, preclinical stroke models frequently ignore real-world clinical comorbidities. Here, I propose an in silico-based multitarget approach based on human disease genes linked to ischaemic stroke to identify potential targets subsequently validated in a preclinical model. Specifically, I followed a network pharmacology therapeutic approach where several components of a disease module were simultaneously targeted, combining mechanistically related and thus synergistic drugs. Moreover, to maximally speed-up market entry, we followed a drug repurposing strategy which ensures therapeutic safety and quick access to the pharmaceutic market. This program resulted in a triple network pharmacology therapy (Objective 1) currently been translated to the clinics (Phase II trial), later extended to a long-term ischaemic therapeutic approach (Objective 2). Additionally, we identified a potential stroke biomarker, determining the best therapeutic frame for acute therapy (Objective 4). Finally, I am currently working on extending our findings to a vascular dementia animal model for later validation of a mechanism-based network pharmacology therapy (Objective 3).

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