2013
DOI: 10.1007/s10545-013-9650-y
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Tract‐based evaluation of white matter damage in individuals with early‐treated phenylketonuria

Abstract: Previous research has documented white matter abnormalities in the brains of individuals with early-treated phenylketonuria (ETPKU). The majority of these past studies have relied on a region-based approach which focused on a limited number of spatially-defined regions within the brain. In the present study, we used diffusion tensor imaging (DTI) in conjunction with tract-based spatial statistics (TBSS) to perform an extensive examination of white matter tracts in the brains of ten individuals with ETPKU (mean… Show more

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Cited by 37 publications
(47 citation statements)
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References 32 publications
(43 reference statements)
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“…In the lack of neuropathological data from early treated PKU patients, the information on the brains of these patients comes from MRI studies performed in the last 20 years [1], which showed that white matter changes: a) usually appear during the second decade of life in virtually all PKU patients [11]; b) are related to the increase of blood phenylalanine, as supported by the fact that they recede 3 to 6 months after the restoration of a strict metabolic control [18,19]; c) are not found in subjects with blood phenylalanine level lower than 500-600 μmol/l. [20][21][22][23][24]; c) are affected by the levels of blood phenylalanine and the duration of the exposure to high phenylalanine levels [10,[25][26][27][28][29].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In the lack of neuropathological data from early treated PKU patients, the information on the brains of these patients comes from MRI studies performed in the last 20 years [1], which showed that white matter changes: a) usually appear during the second decade of life in virtually all PKU patients [11]; b) are related to the increase of blood phenylalanine, as supported by the fact that they recede 3 to 6 months after the restoration of a strict metabolic control [18,19]; c) are not found in subjects with blood phenylalanine level lower than 500-600 μmol/l. [20][21][22][23][24]; c) are affected by the levels of blood phenylalanine and the duration of the exposure to high phenylalanine levels [10,[25][26][27][28][29].…”
Section: Discussionmentioning
confidence: 99%
“…Despite the numerous studies focusing on this topic, several aspects of the white matter alterations in PKU remain to be elucidated: a) the outcome of white matter alterations; b) the weak link between neuroimaging alterations and neurological/neuropsychological impairment [1,11,12] even when more sophisticated MRI DTI-based microstructural examination were performed [19,28,29] c) the factors causing the wide interindividual variability in white matter alterations [10]; d) the neuropathological background of white matter abnormalities.…”
Section: Discussionmentioning
confidence: 99%
“…Our knowledge of relationships between DTI findings and cognition is quite limited, but the three relevant studies to date point to associations between MD across a range of brain regions and IQ (Peng et al 2004(Peng et al , 2013Antenor-Dorsey et al 2013). There is, however, no research in which the interplay among white matter integrity, cognition, and Phe control has been modeled within a single study.…”
Section: Introductionmentioning
confidence: 99%
“…The SNPs3D (http:// www.snps3d.org) module assesses the effect of non-synonymous SNPs on protein stability and function based on sequence analysis, structural analysis (using wild-type protein structures as reference) and a Support Vector Machine (SVM). 16 A negative SVM Score classifies the substitution as destabilizing to the folded state, while positive scores indicate non-deleterious substitutions.…”
Section: Gene Variants Damage Prediction Toolsmentioning
confidence: 99%
“…Various algorithms analyzing mutant PAH protein folding, stability and function have been developed to predict metabolic and clinical phenotype. We tested FoldX, 13 PolyPhen-2, 14 SIFT Blink 15 and SNPs3D 16 algorithms as well as residual PAH activity (%PAH) for each variant as instruments for phenotype prediction.…”
Section: Introductionmentioning
confidence: 99%