Advances in the development of biomarkers for epilepsy
Over 50 million people worldwide have epilepsy. In nearly 30% of these cases, epilepsy remains unsatisfactorily controlled despite the availability of over 20 antiepileptic drugs. Moreover, no treatments exist to prevent the development of epilepsy in those at risk, despite an increasing understandi...
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| Published in | Lancet neurology Vol. 15; no. 8; pp. 843 - 856 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
Elsevier Ltd
01.07.2016
Elsevier Limited |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1474-4422 1474-4465 1474-4465 |
| DOI | 10.1016/S1474-4422(16)00112-5 |
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| Abstract | Over 50 million people worldwide have epilepsy. In nearly 30% of these cases, epilepsy remains unsatisfactorily controlled despite the availability of over 20 antiepileptic drugs. Moreover, no treatments exist to prevent the development of epilepsy in those at risk, despite an increasing understanding of the underlying molecular and cellular pathways. One of the major factors that have impeded rapid progress in these areas is the complex and multifactorial nature of epilepsy, and its heterogeneity. Therefore, the vision of developing targeted treatments for epilepsy relies upon the development of biomarkers that allow individually tailored treatment. Biomarkers for epilepsy typically fall into two broad categories: diagnostic biomarkers, which provide information on the clinical status of, and potentially the sensitivity to, specific treatments, and prognostic biomarkers, which allow prediction of future clinical features, such as the speed of progression, severity of epilepsy, development of comorbidities, or prediction of remission or cure. Prognostic biomarkers are of particular importance because they could be used to identify which patients will develop epilepsy and which might benefit from preventive treatments. Biomarker research faces several challenges; however, biomarkers could substantially improve the management of people with epilepsy and could lead to prevention in the right person at the right time, rather than just symptomatic treatment. |
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| AbstractList | Summary Over 50 million people worldwide have epilepsy. In nearly 30% of these cases, epilepsy remains unsatisfactorily controlled despite the availability of over 20 antiepileptic drugs. Moreover, no treatments exist to prevent the development of epilepsy in those at risk, despite an increasing understanding of the underlying molecular and cellular pathways. One of the major factors that have impeded rapid progress in these areas is the complex and multifactorial nature of epilepsy, and its heterogeneity. Therefore, the vision of developing targeted treatments for epilepsy relies upon the development of biomarkers that allow individually tailored treatment. Biomarkers for epilepsy typically fall into two broad categories: diagnostic biomarkers, which provide information on the clinical status of, and potentially the sensitivity to, specific treatments, and prognostic biomarkers, which allow prediction of future clinical features, such as the speed of progression, severity of epilepsy, development of comorbidities, or prediction of remission or cure. Prognostic biomarkers are of particular importance because they could be used to identify which patients will develop epilepsy and which might benefit from preventive treatments. Biomarker research faces several challenges; however, biomarkers could substantially improve the management of people with epilepsy and could lead to prevention in the right person at the right time, rather than just symptomatic treatment. Over 50 million people worldwide have epilepsy. In nearly 30% of these cases, epilepsy remains unsatisfactorily controlled despite the availability of over 20 antiepileptic drugs. Moreover, no treatments exist to prevent the development of epilepsy in those at risk, despite an increasing understanding of the underlying molecular and cellular pathways. One of the major factors that have impeded rapid progress in these areas is the complex and multifactorial nature of epilepsy, and its heterogeneity. Therefore, the vision of developing targeted treatments for epilepsy relies upon the development of biomarkers that allow individually tailored treatment. Biomarkers for epilepsy typically fall into two broad categories: diagnostic biomarkers, which provide information on the clinical status of, and potentially the sensitivity to, specific treatments, and prognostic biomarkers, which allow prediction of future clinical features, such as the speed of progression, severity of epilepsy, development of comorbidities, or prediction of remission or cure. Prognostic biomarkers are of particular importance because they could be used to identify which patients will develop epilepsy and which might benefit from preventive treatments. Biomarker research faces several challenges; however, biomarkers could substantially improve the management of people with epilepsy and could lead to prevention in the right person at the right time, rather than just symptomatic treatment. Over 50 million people worldwide have epilepsy. In nearly 30% of these cases, epilepsy remains unsatisfactorily controlled despite the availability of over 20 antiepileptic drugs. Moreover, no treatments exist to prevent the development of epilepsy in those at risk, despite an increasing understanding of the underlying molecular and cellular pathways. One of the major factors that have impeded rapid progress in these areas is the complex and multifactorial nature of epilepsy, and its heterogeneity. Therefore, the vision of developing targeted treatments for epilepsy relies upon the development of biomarkers that allow individually tailored treatment. Biomarkers for epilepsy typically fall into two broad categories: diagnostic biomarkers, which provide information on the clinical status of, and potentially the sensitivity to, specific treatments, and prognostic biomarkers, which allow prediction of future clinical features, such as the speed of progression, severity of epilepsy, development of comorbidities, or prediction of remission or cure. Prognostic biomarkers are of particular importance because they could be used to identify which patients will develop epilepsy and which might benefit from preventive treatments. Biomarker research faces several challenges; however, biomarkers could substantially improve the management of people with epilepsy and could lead to prevention in the right person at the right time, rather than just symptomatic treatment.Over 50 million people worldwide have epilepsy. In nearly 30% of these cases, epilepsy remains unsatisfactorily controlled despite the availability of over 20 antiepileptic drugs. Moreover, no treatments exist to prevent the development of epilepsy in those at risk, despite an increasing understanding of the underlying molecular and cellular pathways. One of the major factors that have impeded rapid progress in these areas is the complex and multifactorial nature of epilepsy, and its heterogeneity. Therefore, the vision of developing targeted treatments for epilepsy relies upon the development of biomarkers that allow individually tailored treatment. Biomarkers for epilepsy typically fall into two broad categories: diagnostic biomarkers, which provide information on the clinical status of, and potentially the sensitivity to, specific treatments, and prognostic biomarkers, which allow prediction of future clinical features, such as the speed of progression, severity of epilepsy, development of comorbidities, or prediction of remission or cure. Prognostic biomarkers are of particular importance because they could be used to identify which patients will develop epilepsy and which might benefit from preventive treatments. Biomarker research faces several challenges; however, biomarkers could substantially improve the management of people with epilepsy and could lead to prevention in the right person at the right time, rather than just symptomatic treatment. |
| Author | Gorter, Jan A Löscher, Wolfgang Friedman, Alon Kokaia, Merab Lukasiuk, Katarzyna Sisodiya, Sanjay M Aronica, Eleonora Bankstahl, Jens P Beck, Heinz Simonato, Michele Pitkänen, Asla Ravizza, Teresa Gröhn, Olli Vezzani, Annamaria Becker, Albert J |
| Author_xml | – sequence: 1 givenname: Asla surname: Pitkänen fullname: Pitkänen, Asla organization: Department of Neurobiology, A I Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland – sequence: 2 givenname: Wolfgang surname: Löscher fullname: Löscher, Wolfgang organization: Department of Pharmacology, Toxicology and Pharmacy, University of Veterinary Medicine, Hannover, Germany – sequence: 3 givenname: Annamaria surname: Vezzani fullname: Vezzani, Annamaria organization: Department of Neuroscience, Experimental Neurology, IRCCS-Istituto di Recerche Farmacologiche “Mario Negri”, Milan, Italy – sequence: 4 givenname: Albert J surname: Becker fullname: Becker, Albert J organization: Section for Translational Epilepsy Research, Department of Neuropathology, University of Bonn Medical Center, University of Bonn, Bonn, Germany – sequence: 5 givenname: Michele surname: Simonato fullname: Simonato, Michele organization: Department of Medical Sciences, Section of Pharmacology, University of Ferrara, Ferrara, Italy – sequence: 6 givenname: Katarzyna surname: Lukasiuk fullname: Lukasiuk, Katarzyna organization: The Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland – sequence: 7 givenname: Olli surname: Gröhn fullname: Gröhn, Olli organization: Department of Neurobiology, A I Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland – sequence: 8 givenname: Jens P surname: Bankstahl fullname: Bankstahl, Jens P organization: Preclinical Molecular Imaging, Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany – sequence: 9 givenname: Alon surname: Friedman fullname: Friedman, Alon organization: Department of Brain and Cognitive Sciences, Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Israel – sequence: 10 givenname: Eleonora surname: Aronica fullname: Aronica, Eleonora organization: Department of Neuropathology, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands – sequence: 11 givenname: Jan A surname: Gorter fullname: Gorter, Jan A organization: Swammerdam Institute for Life Sciences, Center for Neuroscience, University of Amsterdam, Amsterdam, Netherlands – sequence: 12 givenname: Teresa surname: Ravizza fullname: Ravizza, Teresa organization: Department of Neuroscience, Experimental Neurology, IRCCS-Istituto di Recerche Farmacologiche “Mario Negri”, Milan, Italy – sequence: 13 givenname: Sanjay M surname: Sisodiya fullname: Sisodiya, Sanjay M organization: Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK – sequence: 14 givenname: Merab surname: Kokaia fullname: Kokaia, Merab organization: Epilepsy Center, Experimental Epilepsy Group, Division of Neurology, Department of Clinical Sciences, Lund University Hospital, Lund, Sweden – sequence: 15 givenname: Heinz surname: Beck fullname: Beck, Heinz email: heinz.beck@ukb.uni-bonn.de organization: Laboratory for Experimental Epileptology and Cognition Research, Department of Epileptology, University of Bonn, Bonn, Germany |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27302363$$D View this record in MEDLINE/PubMed |
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| CODEN | LANCAO |
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| Snippet | Over 50 million people worldwide have epilepsy. In nearly 30% of these cases, epilepsy remains unsatisfactorily controlled despite the availability of over 20... Summary Over 50 million people worldwide have epilepsy. In nearly 30% of these cases, epilepsy remains unsatisfactorily controlled despite the availability of... |
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| SubjectTerms | Animals Biomarkers Biomarkers - metabolism Brain research Clinical Medicine Clinical trials Convulsions & seizures Diffusion Magnetic Resonance Imaging Disease Drugs Electroencephalography Epilepsy Epilepsy - diagnostic imaging Epilepsy - epidemiology Epilepsy - genetics Epilepsy - metabolism Humans Klinisk medicin Localization Medical and Health Sciences Medicin och hälsovetenskap MicroRNAs - genetics MicroRNAs - metabolism Neurologi Neurology Stroke Studies Traumatic brain injury |
| Title | Advances in the development of biomarkers for epilepsy |
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