| Literature DB >> 25773662 |
Heinz Wiendl1, Christian Elger, Hans Förstl, Hans-Peter Hartung, Wolfgang Oertel, Heinz Reichmann, Stefan Schwab.
Abstract
The term "neuroprotection" is often misused, overused, or misunderstood. A reasonable definition of neuroprotection refers to the preservation of "neuronal structure and/or function." Although our knowledge about the cellular and molecular mechanisms of neurodegeneration has expanded, experimental systems and animal models that mimic the process or allow translation into clinical success remain limited. This editorial discusses reasons for this gap and strategies to close it. Experimental models can only mirror certain aspects of disease mechanisms in humans. Therefore, findings in these models need to be linked with patient data to improve real-life relevance. Successful neuroprotection depends on finding the right "window of opportunity" which varies from very short (stroke) to very long (Alzheimer's disease), necessitating the need to focus on strategies for very early disease recognition. This need challenges the strategies to be chosen, trial approaches and methodologies, and the allocation of resources. Additionally, outcome measures are often not well suited to assess neuroprotection. To this end, surrogate measures, including biomarkers, are useful endpoints to demonstrate evidence of target directed therapeutic utility. Finally, studies have shown that neuroprotection is not likely to succeed when targeting only one pathway. These obstacles have reduced the level of enthusiasm for neuroprotection in certain disease areas (e.g., stroke). Academia, industry, regulatory authorities, funding agencies and patient organizations have to cooperate to a greater extent in order to overcome these impediments and to encourage nonclassical concepts. These concepts will be interdisciplinary in order to achieve meaningful disease modification.Entities:
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Year: 2015 PMID: 25773662 PMCID: PMC4404462 DOI: 10.1007/s13311-015-0348-8
Source DB: PubMed Journal: Neurotherapeutics ISSN: 1878-7479 Impact factor: 7.620
Established and promising end points for measuring neuroprotection in multiple sclerosis trials
| Promising and potential end points | |
|---|---|
| Clinical end points | |
| Disability progression on Expanded Disability Status Scale (EDSS) | |
| Multiple Sclerosis Functional Composite (MFSC) | |
| Paced Auditory Serial Addition Test (PASAT) component of MSFC | |
| Symbol digit Modalities Test (SDMT) | |
| Quality of life 36-item Short Form (SF36) Healthy Survey, Multiple Sclerosis Quality of Life Inventory (MSQLI) and NeuroQual | |
|
| |
| T1-hypointense lesion volume | |
| Time to evolution of T1 gadolinium-enhancing lesions + lesions to T1-hypointense lesions | |
| % Brain volume change (PBVC) | |
| % Change in brain parenchymal fraction (BPF) | |
| % Change in normalized cortical volume (NCVCH) | |
| Change in gray matter volume | |
| Change in magnetization transfer ratios in normal-appearing white (NAWM) and gray matter (NAGM) | |
| Spinal cord atrophy | |
| Change in brain spectroscopy [ | |
| Nerve fiber changes on diffusion tensor imaging (DfMRI) and diffusion functional magnetic resonance imaging | |
| Cortical lesions, double inversion recovery (DIR) and phase-sensitive inversion recovery (PSIR) | |
| Ocular end points | |
| Peripapillary retinal nerve fiber layer (RNFL) thickness on optical coherence tomography | |
| Total macular volume (TMV) | |
| Ganglion cell-inner plexiform layer (GCIPL) thickness on OCT | |
| Multifocal visual evoked potentials (mfVEP) | |
| Additional biomarker assessments | |
| Neurofilament biomarker in cerebrospinal fluid (CSF) | |
Adapted from [1]