| Literature DB >> 23462988 |
R E Frye1, R DeLatorre, H B Taylor, J Slattery, S Melnyk, N Chowdhury, S J James.
Abstract
Sapropterin, a synthetic form of tetrahydrobiopterin (BH4), has been reported to improve symptoms in children with autism spectrum disorder (ASD). However, as BH4 is involved in multiple metabolic pathway that have been found to be dysregulated in ASD, including redox, pterin, monoamine neurotransmitter, nitric oxide (NO) and immune metabolism, the metabolic pathway by which sapropterin exerts its therapeutic effect in ASD effect remains unclear. This study investigated which metabolic pathways were associated with symptomatic improvement during sapropterin treatment. Ten participants (ages 2-6 years old) with current social and/or language delays, ASD and a central BH4 concentration 30 nM l(-1) were treated with a daily morning 20 mg kg(-1) dose of sapropterin for 16 weeks in an open-label fashion. At baseline, 8 weeks and 16 weeks after starting the treatment, measures of language, social function and behavior and biomarkers of redox, pterin, monoamine neurotransmitter, NO and immune metabolism were obtained. Two participants discontinued the study, one from mild adverse effects and another due to noncompliance. Overall, improvements in subscales of the Preschool Language Scale (PLS), Vineland Adaptive Behavior Scale (VABS), Aberrant Behavior Checklist (ABC) and autism symptoms questionnaire (ASQ) were seen. Significant changes in biomarkers of pterin, redox and NO were found. Improvement on several subscales of the PLS, VABS, ABC and ASQ were moderated by baseline and changes in biomarkers of NO and pterin metabolism, particularly baseline NO metabolism. These data suggest that behavioral improvement associated with daily 20 mg kg(-1) sapropterin treatment may involve NO metabolism, particularly the status of pretreatment NO metabolism.Entities:
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Year: 2013 PMID: 23462988 PMCID: PMC3625913 DOI: 10.1038/tp.2013.14
Source DB: PubMed Journal: Transl Psychiatry ISSN: 2158-3188 Impact factor: 6.222
Figure 1Pterin metabolism. Metabolites are connected with black arrows while enzymes (with Enzyme Commission number, Gene symbol and chromosomal location) are presented in gray boxes with thick gray arrows pointing to the reaction they catalyze. Dashed lines represent inhibitory effects of metabolites on enzymes. (a) GTP cyclohydrolase I is the committing step in tetrahydrobiopterin (BH4) synthesis. 7,8-dihydroneopterin triphosphate, has one of two fates, (1) metabolism by 6-pyruvoyl tetrahydropterin synthase, the rate limiting step in BH4 production, to produce 6-pyruvoyl tetrahydropterin, or (2) shunting to produce neopterin. Sepiapterin reductase is the final step in BH4 production. Alternatively, 6-pyruvoyl tetrahydropterin can also be converted to sepiapterin which can then be metabolized to 7,8,-dihydrobiopterin (BH2). BH4 can be produced from BH2 by dihydrofolate reductase, a folate-dependent enzyme. This is one of the BH4-recycling pathways that is important in the context of oxidative stress as the interaction of BH4 with reactive species results in the production of BH2. If BH2 is not recycled, it may be nonenzymatically metabolized into biopterin. (b) BH4 is used as a cofactor for several hydroxylases that are essential for production of monoamine neurotransmitter precursors and phenylalanine degradation. These reactions result in the production of tetrahydrobiopterin-4a-carbinolamine, which can be recycled to produce BH4. In a second recycling pathway, pterin-4a-carbinolamine dehydratase metabolizes tetrahydrobiopterin-4a-carbinolamine into q-dihydrobiopterin (qBH2), which can be utilized to produce BH4 using dihydropteridine reductase. If qBH2 is not recycled, it may be nonenzymatically metabolized to BH2, which can be further metabolized into biopterin (B). (c) Under normal conditions, BH4 is not consumed during NO production but, rather, stabilizes and assists NO synthase (NOS). Initially, during L-arginine oxidation, BH4 donates electrons to the ferrous-dioxygen complex in the oxygenase domain of the enzyme, resulting in a protonated trihydrobiopterin cation radical (BH3+). BH3+ is subsequently reduced by electron transfer from NOS flavins in order to reproduce the original BH4. When BH4 availability is reduced or the reduced-to-oxidized pterin ratio is unfavorable, electron transfer from NOS flavins to BH3+ becomes uncoupled from L-arginine oxidation. This results in the generation of peroxynitrite, a reactive nitrogen species that has been linked to cell toxicity, and the production of BH2 from the unstable BH3+ radical. BH2 can further be metabolized into B and inhibits NOS activity. Thus, in the presence of low BH4 or a low reduced-to-oxidized pterin ratio, NOS activity can result in a downward spiral in which BH4 is destroyed and a peroxynitrite is produced instead of NO, BH4 availability and the reduced-to-oxidized pterin ratio is progressively lowered, and NOS if further uncoupling, resulting in the further destruction of BH4.
Figure 2(a) Recruitment and discontinuation of participants in the study; (b) Biomarkers to measures various aspects of tetrahydrobiopterin (BH4) metabolism. Biomarkers are divided into five different categories: Monoamine neurotransmitter, oxidative stress, pterin availability, immune activation and nitric oxide metabolism. Many of the biomarkers overlap into several categories.
Figure 3Change in the Preschool Language Scale 4th Edition (PLS) and Vineland Adaptive Behavior Scales (VABS), 2nd Edition, Interview Edition, Survey Form raw scores across the 16-week treatment period. P-values represent the significant of the change in the specific score over the treatment period.
Descriptive statistics for questionnaires and parent–child interaction scales
| N | N | N | |
|---|---|---|---|
| Irritability | 16.3 (10.6) | 12.0 (8.4) | 11.3 (6.7) |
| Social withdrawal/lethargy | 15.3 (10.7) | 11.4 (10.2) | 8.8 (6.6) |
| Stereotypy | 7.8 (7.5) | 7.3 (6.5) | 4.9 (3.1) |
| Hyperactivity | 24.8 (11.2) | 18.5 (12.3) | 14.8 (6.7) |
| Inappropriate speech | 3.6 (3.5) | 1.9 (2.7) | 2.8 (2.3) |
| Irritability | 14.6 (11.3) | 12.6 (10.3) | 12.7 (11.7) |
| Social withdrawal/lethargy | 10.6 (8.3) | 12.9 (10.4) | 7.7 (6.5) |
| Stereotypy | 5.3 (6.4) | 5.9 (6.4) | 4.1 (3.4) |
| Hyperactivity | 16.5 (12.2) | 18.0 (11.9) | 13.9 (7.6) |
| Inappropriate speech | 1.8 (2.4) | 3.8 (4.1) | 2.6 (2.7) |
| Awareness | 14.6 (6.3) | 13.6 (4.5) | 11.9 (3.8) |
| Cognition | 17.4 (8.5) | 17.8 (8.1) | 16.5 (5.9) |
| Communication | 33.1 (17.0) | 32.9 (13.6) | 28.0 (7.9) |
| Motivation | 13.6 (7.6) | 13.6 (7.9) | 11.8 (4.3) |
| Mannerisms | 15.4 (9.7) | 15.0 (7.3) | 13.3 (4.2) |
| Awareness | 12.3 (4.1) | 11.5 (4.8) | 9.2 (5.3) |
| Cognition | 17.1 (6.6) | 17.3 (5.3) | 14.2 (6.4) |
| Communication | 28.7 (14.8) | 31.7 (17.3) | 21.8 (14.3) |
| Motivation | 14.1 (7.2) | 14.7 (7.3) | 12.8 (8.0) |
| Mannerisms | 14.0 (9.0) | 15.2 (10.5) | 11.0 (10.0) |
| Social | 3.0 (1.6) | 2.6 (1.4) | 1.9 (1.7) |
| Communication | 4.1 (1.5) | 3.9 (1.6) | 2.9 (2.2) |
| Stereotypy | 2.8 (1.4) | 3.1 (2.1) | 2.5 (1.4) |
| Total | 9.9 (2.2) | 9.6 (1.4) | 7.3 (3.7) |
| Social engagement | 3.3 (1.7) | 3.1 (1.5) | 3.7 (1.4) |
| Social smile | 2.8 (2.0) | 2.6 (1.9) | 2.6 (2.0) |
| Eye contact | 3.8 (2.2) | 3.7 (2.4) | 3.3 (2.5) |
| Cooperation | 3.6 (1.6) | 3.3 (1.4) | 4.2 (1.2) |
| Communication: words | 3.2 (1.6) | 3.2 (1.6) | 3.8 (1.6) |
| Communication: gestures | 4.0 (1.7) | 3.7 (1.2) | 4.0 (1.8) |
| Communication: gestures | 2.9 (1.7) | 2.6 (1.7) | 2.9 (1.7) |
| Redirection | 5.3 (0.7) | 5.4 (0.5) | 5.4 (0.5) |
| Approach | 3.6 (1.6) | 3.6 (1.5) | 4.0 (1.1) |
| Stereotypical behavior | 4.1 (1.9) | 4.0 (1.4) | 4.3 (0.9) |
| Functional play | 3.9 (2.3) | 3.6 (1.8) | 4.4 (2.1) |
Figure 4Significant relationships between outcome variables and biomarkers. Many of the relationships found included relationships between biomarkers of nitric oxide metabolism and primary and secondary outcome variables. The relationships presented were identified using linear regression models. Pearson correlations were used to investigate the identified relationships between the outcome variable and the biomarker. P-values represent one-tailed statistical test as the direction of the relationships were predicted. Change values were calculated in change in value per week of treatment. (a–h) Relationships between outcome variables and baseline biomarker values. (i, j) Relationships between outcome variables and changes in biomarkers over the treatment period. (k) Changes in two nitric oxide metabolism biomarkers over the treatment period for four responders and four nonresponders. From these graphs it is clear that responders and nonresponders demonstrated different profiles of changes in nitric oxide metabolism.