| Literature DB >> 24558637 |
Vahri Beaumont1, Larry Park1, Arash Rassoulpour2, Ulrike Dijkman2, Taneli Heikkinen3, Kimmo Lehtimaki3, Outi Kontkanen3, Rand Al Nackkash4, Gillian P Bates4, Melanie Gleyzes5, Esther Steidl5, Sylvie Ramboz6, Carol Murphy6, Maria G Beconi1, Celia Dominguez1, Ignacio Munoz-Sanjuan1.
Abstract
Huntington's disease is a neurodegenerative disorder caused by mutations in the CAG tract of huntingtin. Several studies in HD cellular and rodent systems have identified disturbances in cyclic nucleotide signaling, which might be relevant to pathogenesis and therapeutic intervention. To investigate whether selective phosphodiesterase (PDE) inhibitors can improve some aspects of disease pathogenesis in HD models, we have systematically evaluated the effects of a variety of cAMP and cGMP selective PDE inhibitors in various HD models. Here we present the lack of effect in a variety of endpoints of the PDE subtype selective inhibitor SCH-51866, a PDE1/5 inhibitor, in the R6/2 mouse model of HD, after chronic oral dosing.Entities:
Year: 2014 PMID: 24558637 PMCID: PMC3923778 DOI: 10.1371/currents.hd.3304e87e460b4bb0dc519a29f4deccca
Source DB: PubMed Journal: PLoS Curr ISSN: 2157-3999
NI, no inhibition noted at concentrations tested (up to 10 µM at Cerep and up to 100 µM at Scottish Biomedical)
* Extrapolated value
| Enzyme | SCH-51866 |
|---|---|
| PDE1A3 (cAMP) | 0.07 |
| PDE2A3 | 1.32 |
| PDE3 Cat | 17.27* |
| PDE4 Cat | >100 |
| PDE5 Cat | 2.84 |
| PDE6AB | NI |
| PDE7A1 | >100 |
| PDE8A1 | NI |
| PDE9A2 | 51.35* |
| PDE10A1 (cAMP) | 16.03* |
| PDE11A1 (cAMP) | 21.89* |
| Genotype | N (F/M) | Compound | Dose (mg/kg) | Regimen | Route | Dose volume (ml/kg) |
| Wild-type | 6/6 | 30% Propylene Glycol, 20% Solutol HS15, 50% 50mM Citrate | BID | p.o. | 10 | |
| R6/2 | 10/10 | 30% Propylene Glycol, 20% Solutol HS15, 50% 50mM Citrate | BID | p.o. | 10 | |
| R6/2 | 10/10 | SCH-51866 | 10 | BID | p.o. | 10 |
| R6/2 | 10/10 | SCH-51866 | 30 | BID | p.o. | 10 |
1 Values were not calculated since there were not enough points in the elimination phase.
NA: Not applicable PK parameters due to route and/or matrix.
NC: Not calculated due to insufficient data points to define the corresponding PK parameter.
| PK Parameters | Units | Plasma | Brain | ||
|---|---|---|---|---|---|
| IV | IV | IV | PO | ||
| AUC(0-last) | nM eq.·hr | 7310 | 8960 | 8180 | 2200 |
| AUC(0-inf) | nM eq.·hr | 7350 | 8970 | 8230 | NC |
| Bioavailability (F) | % | NA | 61.0 | NA | NA |
| Observed Cmax | nM eq. | NA | 2420 | 3560 | 475 |
| Observed Tmax | hr | NA | 1 | 0.5 | 2 |
| Plasma Clearance (CLp) | L/hr/kg | 1.75 | NA | NA | NA |
| Volume of Distribution at Steady State (Vdss) | L/kg | 4.48 | NA | NA | NA |
| Mean Residence Time (MRT) | hr | 2.57 | NA | NA | NA |
| Half-life (t1/2) | hr | 3.87 | 2.49 | 1.08 | NC1 |
| Half-life Regression Time Points | hr | 4, 8, 24 | 4, 8, 24 | 0.5, 2, 8 | NA |
▲ = significant enhancement compared to Vehicle-treated R6/2 mice (One-way ANOVA, Dunnett’s post-hoc); ▼ = significant impairment compared to Vehicle-treated R6/2 mice (One-way ANOVA, Dunnett’s post-hoc); p>0.05 = no significant differences compared to Vehicle-treated R6/2 mice (One-way ANOVA).
| 10 mg/kg | 30 mg/kg | |
|---|---|---|
|
| ||
| Age Week 4 | ANOVA: p=0.878 | ANOVA: p=0.878 |
| Age Week 5 | ANOVA: p=0.762 | ANOVA: p=0.762 |
| Age Week 6 | ANOVA: p=0.934 | ANOVA: p=0.934 |
| Age Week 7 | ANOVA: p=0.766 | ANOVA: p=0.766 |
| Age Week 8 | ANOVA: p=0.926 | ANOVA: p=0.926 |
| Age Week 9 | ANOVA: p=0.886 | ANOVA: p=0.886 |
| Age Week 10 | ANOVA: p=0.969 | ANOVA: p=0.969 |
| Age Week 11 | ANOVA: p=0.891 | ANOVA: p=0.891 |
| Age Week 12 | ANOVA: p=0.774 | ANOVA: p=0.774 |
| Age Week 13 | ANOVA: p=0.855 | ANOVA: p=0.855 |
| Age Week 14 | ANOVA: p=0.878 | ANOVA: p=0.878 |
| Age Week 15 | ANOVA: p=0.989 | ANOVA: p=0.989 |
| Age Week 16 | ANOVA: p=0.651 | ANOVA: p=0.651 |
| Age Week 17 | ANOVA: p=0.817 | ANOVA: p=0.817 |
| Age Week 18 | ANOVA: p=0.644 | ANOVA: p=0.644 |
| Age Week 19 | ANOVA: p=0.975 | ANOVA: p=0.975 |
| Age Week 20 | ANOVA: p=0.900 | ANOVA: p=0.900 |
| Age Week 21 | ANOVA: p=0.996 | ANOVA: p=0.996 |
|
| ||
| Age Week 4 | ANOVA: p=0.458 | ANOVA: p=0.458 |
| Age Week 6 | ANOVA: p=0.262 | ANOVA: p=0.262 |
| Age Week 8 | ANOVA: p=0.171 | ANOVA: p=0.171 |
|
| ||
| Age Week 4 | ANOVA: p=0.612 | ANOVA: p=0.612 |
| Age Week 12 | p=0.860 | ▲p=0.006 |
|
| ||
| Total Distance | ||
| - Age Week 4 | ANOVA: p=0.792 | ANOVA: p=0.792 |
| - Age Week 6 | ANOVA: p=0.101 | ANOVA: p=0.101 |
| - Age Week 8 | ANOVA: p=0.333 | ANOVA: p=0.333 |
| - Age Week 12 | p=0.454 | ▼p=0.016 |
| Center Distance | ||
| - Age Week 4 | ANOVA: p=0.701 | ANOVA: p=0.701 |
| - Age Week 6 | ANOVA: p=0.305 | ANOVA: p=0.305 |
| - Age Week 8 | ANOVA: p=0.693 | ANOVA: p=0.693 |
| - Age Week 12 | p=0.112 | ▼p=0.012 |
| Rearing Rate in Center | ||
| - Age Week 4 | ANOVA: p=0.341 | ANOVA: p=0.341 |
| - Age Week 6 | ANOVA: p=0.594 | ANOVA: p=0.594 |
| - Age Week 8 | ANOVA: p=0.519 | ANOVA: p=0.519 |
| - Age Week 12 | ANOVA: p=0.423 | ANOVA: p=0.423 |
| Total Rearing Frequency | ||
| - Age Week 4 | ANOVA: p=0.542 | ANOVA: p=0.542 |
| - Age Week 6 | ANOVA: p=0.639 | ANOVA: p=0.639 |
| - Age Week 8 | ANOVA: p=0.395 | ANOVA: p=0.395 |
| - Age Week 12 | ANOVA: p=0.703 | ANOVA: p=0.703 |
| Average Velocity | ||
| - Age Week 4 | ANOVA: p=0.461 | ANOVA: p=0.461 |
| - Age Week 6 | ANOVA: p=0.686 | ANOVA: p=0.686 |
| - Age Week 8 | ANOVA: p=0.138 | ANOVA: p=0.138 |
| - Age Week 12 | ANOVA: p=0.197 | ANOVA: p=0.197 |
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| ||
| Rearing Frequency | ||
| - Age Week 4 | p=0.507 | p=0.186 |
| - Age Week 6 | ANOVA: p=0.203 | ANOVA: p=0.203 |
| - Age Week 8 | ANOVA: p=0.782 | ANOVA: p=0.782 |
| - Age Week 12 | ANOVA: p=0.122 | ANOVA: p=0.122 |
| Latency to Climb | ||
| - Age Week 4 | ANOVA: p=0.365 | ANOVA: p=0.365 |
| - Age Week 6 | ANOVA: p=0.257 | ANOVA: p=0.257 |
| - Age Week 8 | ANOVA: p=0.193 | ANOVA: p=0.193 |
| - Age Week 12 | ANOVA: p=0.846 | ANOVA: p=0.846 |
| Time Spent Climbing | ||
| - Age Week 4 | ANOVA: p=0.853 | ANOVA: p=0.853 |
| - Age Week 6 | ANOVA: p=0.291 | ANOVA: p=0.291 |
| - Age Week 8 | ANOVA: p=0.750 | ANOVA: p=0.750 |
| - Age Week 12 | ANOVA: p=0.724 | ANOVA: p=0.724 |
| Climbing Instances | ||
| - Age Week 4 | ANOVA: p=0.484 | ANOVA: p=0.484 |
| - Age Week 6 | ANOVA: p=0.120 | ANOVA: p=0.120 |
| - Age Week 8 | ANOVA: p=0.166 | ANOVA: p=0.166 |
| - Age Week 12 | ANOVA: p=0.671 | ANOVA: p=0.671 |
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| Acquisition: % of Mice Reaching Criterion | ||
| Fisher's exact test: | Fisher's exact test: | |
| - Test Day 2 | p>0.999 | p=0.487 |
| - Test Day 3 | p>0.999 | p>0.999 |
| - Test Day 4 | p>0.999 | p>0.999 |
| - Test Day 5 | p>0.999 | p>0.999 |
| - Test Day 6 | p=0.313 | p>0.999 |
| - Test Day 7 | p=0.508 | p=0.752 |
| - Test Day 8 | p=0.313 | p=0.751 |
| - Test Day 9 | p>0.999 | p>0.999 |
| - Test Day 10 | p>0.999 | p>0.999 |
| - Test Day 11 | p>0.999 | p=0.716 |
| - Test Day 12 | p>0.999 | p>0.999 |
| Reversal: Correct Choice | ||
| - Test Day 1 | ANOVA: p=0.117 | ANOVA: p=0.117 |
| - Test Day 2 | ANOVA: p=0.311 | ANOVA: p=0.311 |
| - Test Day 3 | ANOVA: p=0.573 | ANOVA: p=0.573 |
| - Test Day 4 | ANOVA: p=0.206 | ANOVA: p=0.206 |
| - Test Day 5 | ANOVA: p=0.057 | ANOVA: p=0.057 |
| - Test Day 6 | ANOVA: p=0.140 | ANOVA: p=0.140 |
| Vehicle (p.o., BID) | 10 mg/kg (p.o., BID) | 30 mg/kg (p.o., BID) | |
|---|---|---|---|
| Mean (±SEM) / Medial Survival Time (days) | 115 (±5) / 106 | 115 (±7) / 110 | 122 (±5) / 121 |
| Log-rank (Peto) Test | Chi-square for equiv. of death rates p=0.555 | Chi-square for equiv. of death rates p=0.555 | Chi-square for equiv. of death rates p=0.555 |
| Generalized Wilcoxon (Peto-Prentice) Test | Chi-square for equiv. of death rates p=0.543 | Chi-square for equiv. of death rates p=0.543 | Chi-square for equiv. of death rates p=0.543 |