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440 results for “neuroprotection”
Data from: Drug repurposing: a systematic approach to evaluate candidate oral neuroprotective interventions for secondary progressive multiple sclerosis
Objective: To develop and implement an evidence based framework to select, from drugs already licenced, candidate oral neuroprotective drugs to be tested in secondary progressive multiple sclerosis. Design: Systematic review of clinical studies of oral putative neuroprotective therapies in MS and four other neurodegenerative diseases with shared pathological features, followed by systematic review and meta-analyses of the in vivo experimental data for those interventions. We presented summary data to an international multi-disciplinary committee, which assessed each drug in turn using pre-specified criteria including consideration of mechanism of action. Results: We identified a short list of fifty-two candidate interventions. After review of all clinical and pre-clinical evidence we identified ibudilast, riluzole, amiloride, pirfenidone, fluoxetine, oxcarbazepine, and the polyunsaturated fatty-acid class (Linoleic Acid, Lipoic acid; Omega-3 fatty acid, Max EPA oil) as lead candidates for clinical evaluation. Conclusions: We demonstrate a standardised and systematic approach to candidate identification for drug rescue and repurposing trials that can be applied widely to neurodegenerative disorders.
Figure 2 from: Kokanova-Nedialkova Z, Aluani D, Tzankova V, Nedialkov P (2021) Simultaneous quantification of the major flavonoids from wild spinach by UHPLC-HRMS and their neuroprotective effects in a model of H2O2-induced oxidative stress on SH-SY5Y cells. Pharmacia 68(3): 657-664. https://doi.org/10.3897/pharmacia.68.e71030
Figure 2 Effect of flavonoids and silibinin on the viability of neuroblastoma SH-SY5Y cells. Data are presented as means from three independent experiments ± SD (n = 8). *P < 0.05, ***P < 0.001, vs. untreated control (one-way analysis of variance with Dunnet's post hoc test).
Figure 3 from: Kokanova-Nedialkova Z, Aluani D, Tzankova V, Nedialkov P (2021) Simultaneous quantification of the major flavonoids from wild spinach by UHPLC-HRMS and their neuroprotective effects in a model of H2O2-induced oxidative stress on SH-SY5Y cells. Pharmacia 68(3): 657-664. https://doi.org/10.3897/pharmacia.68.e71030
Figure 3 Effect of flavonoids and silibinin on the viability of SH-SY5Y cells in a model of H2O2-induced toxicity. Data are presented as means from three independent experiments ± SD (n = 8). ***P < 0.001, vs. untreated control; +++P < 0.001, vs. H2O2 group. (one-way analysis of variance with Dunnet's post hoc test).
Fig. 7 in Insight into tetrahydrofuran lignans from Isatis indigotica fortune with neuroprotective and acetylcholinesterase inhibitor activity
Fig. 7. Molecular docking of 1b within AChE (PDB ID:1EVE) binding pocket.
Fig. 3 in Insight into tetrahydrofuran lignans from Isatis indigotica fortune with neuroprotective and acetylcholinesterase inhibitor activity
Fig. 3. The key NOESY correlations of compounds 1 and 2.
Fig. 4 in Insight into tetrahydrofuran lignans from Isatis indigotica fortune with neuroprotective and acetylcholinesterase inhibitor activity
Fig. 4. MAEΔΔδ parameters of 1 and 2 based on calculated and experimental NMR chemical shifts.
Fig. 2. Key HMBC correlations for compounds 1 and 2 in Insight into tetrahydrofuran lignans from Isatis indigotica fortune with neuroprotective and acetylcholinesterase inhibitor activity
Fig. 2. Key HMBC correlations for compounds 1 and 2.
Fig. 5. Experimental and calculated ECD spectra for compounds 1a in Insight into tetrahydrofuran lignans from Isatis indigotica fortune with neuroprotective and acetylcholinesterase inhibitor activity
Fig. 5. Experimental and calculated ECD spectra for compounds 1a/1b and 2 in MeOH.
Fig. 1 in Insight into tetrahydrofuran lignans from Isatis indigotica fortune with neuroprotective and acetylcholinesterase inhibitor activity
Fig. 1. Tetrahydrofuran type spiro-lignans isolated from the leaves of I. indigotica.
Fig. 2 in Phenolic compounds from the flowers of Rosa hugonis Hemsl. and their neuroprotective effects
Fig. 2. Key HMBC correlations of compound 1–5.
Fig. 1 in Phenolic compounds from the flowers of Rosa hugonis Hemsl. and their neuroprotective effects
Fig. 1. Representative structures of phenolics from R. hugonis (* Undescribed compounds).
Fig. 5 in Diversity of sesquiterpenoids from Stellera chamaejasme with neuroprotective effects
Fig. 5. ORTEP diagrams of compounds 12 and 13.
Fig. 3 in Diversity of sesquiterpenoids from Stellera chamaejasme with neuroprotective effects
Fig. 3. Key NOE correlations of compounds 1–6.
Fig. 2. Key 1H–1H in Diversity of sesquiterpenoids from Stellera chamaejasme with neuroprotective effects
Fig. 2. Key 1H–1H COSY and HMBC correlations of compounds 1–6.
Fig. 1 in Diversity of sesquiterpenoids from Stellera chamaejasme with neuroprotective effects
Fig. 1. Structures of sesquiterpenoids (1–20) from the roots of S. chamaejasme.
Fig. 2 in Astragalus species: Phytochemistry, biological actions and molecular mechanisms underlying their potential neuroprotective effects on neurological diseases
Fig. 2. Chemical structure of Astragalus polysaccharide (Liu et al., 2020).
Fig. 4 in Astragalus species: Phytochemistry, biological actions and molecular mechanisms underlying their potential neuroprotective effects on neurological diseases
Fig. 4. Astragalus spinosus (Alsirhan, 2002).
Fig. 2. The key 2D in Chemical constituents from the fruits of Illicium simonsii and their antiviral activity and neuroprotective effect
Fig. 2. The key 2D NMR correlations of compounds 1–6.
Fig. 4 in Chemical constituents from the fruits of Illicium simonsii and their antiviral activity and neuroprotective effect
Fig. 4. The experimental and calculated ECD spectra of 2a and 2b.
Fig. 3 in Chemical constituents from the fruits of Illicium simonsii and their antiviral activity and neuroprotective effect
Fig. 3. The ORTEP drawing of illisimonone A (1).
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.