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Diffusion kurtosis imaging detects subclinical white matter abnormalities in Phenylketonuria

OBJECTIVE: Phenylketonuria (PKU) is an autosomal recessive disorder whereby deficiencies in phenylalanine metabolism cause progressive neurological dysfunction. Managing PKU is challenging, with disease monitoring focussed on short-term phenylalanine control rather than measures of neuronal damage....

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Autores principales: Hellewell, Sarah C., Welton, Thomas, Eisenhuth, Kate, Tchan, Michel C., Grieve, Stuart M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814191/
https://www.ncbi.nlm.nih.gov/pubmed/33461111
http://dx.doi.org/10.1016/j.nicl.2020.102555
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author Hellewell, Sarah C.
Welton, Thomas
Eisenhuth, Kate
Tchan, Michel C.
Grieve, Stuart M.
author_facet Hellewell, Sarah C.
Welton, Thomas
Eisenhuth, Kate
Tchan, Michel C.
Grieve, Stuart M.
author_sort Hellewell, Sarah C.
collection PubMed
description OBJECTIVE: Phenylketonuria (PKU) is an autosomal recessive disorder whereby deficiencies in phenylalanine metabolism cause progressive neurological dysfunction. Managing PKU is challenging, with disease monitoring focussed on short-term phenylalanine control rather than measures of neuronal damage. Conventional imaging lacks sensitivity, however diffusion kurtosis imaging (DKI), a new MRI method may reveal subclinical white matter structural changes in PKU. METHODS: This cohort study involved adults with PKU recruited during routine clinical care. MRI, neurocognitive assessment and historical phenylalanine (Phe) levels were collected. A hypothesis-generating case study comparing diet-compliant and non-compliant siblings confirmed that DKI metrics are sensitive to dietary adherence and prompted a candidate metric (K(rad)/K(FA) ratio). We then tested this metric in a Replication cohort (PKU = 20; controls = 43). RESULTS: Both siblings scored outside the range of controls for all DKI-based metrics, with severe changes in the periventricular white matter and a gradient of severity toward the cortex. K(rad)/K(FA) provided clear separation by diagnosis in the Replication cohort (p < 0.001 in periventricular, deep and pericortical compartments). The ratio also correlated negatively with attention (r = −0.51 & −0.50, p < 0.05) and positively with 3-year mean Phe (r = 0.45 & 0.58, p < 0.01). CONCLUSION: DKI reveals regionally-specific, progressive abnormalities of brain diffusion characteristics in PKU, even in the absence of conspicuous clinical signs or abnormalities on conventional MRI. A DKI-based marker derived from these scores (K(rad)/K(FA) ratio) was sensitive to cognitive impairment and PKU control over the medium term and may provide a meaningful subclinical biomarker of end-organ damage.
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spelling pubmed-78141912021-01-26 Diffusion kurtosis imaging detects subclinical white matter abnormalities in Phenylketonuria Hellewell, Sarah C. Welton, Thomas Eisenhuth, Kate Tchan, Michel C. Grieve, Stuart M. Neuroimage Clin Regular Article OBJECTIVE: Phenylketonuria (PKU) is an autosomal recessive disorder whereby deficiencies in phenylalanine metabolism cause progressive neurological dysfunction. Managing PKU is challenging, with disease monitoring focussed on short-term phenylalanine control rather than measures of neuronal damage. Conventional imaging lacks sensitivity, however diffusion kurtosis imaging (DKI), a new MRI method may reveal subclinical white matter structural changes in PKU. METHODS: This cohort study involved adults with PKU recruited during routine clinical care. MRI, neurocognitive assessment and historical phenylalanine (Phe) levels were collected. A hypothesis-generating case study comparing diet-compliant and non-compliant siblings confirmed that DKI metrics are sensitive to dietary adherence and prompted a candidate metric (K(rad)/K(FA) ratio). We then tested this metric in a Replication cohort (PKU = 20; controls = 43). RESULTS: Both siblings scored outside the range of controls for all DKI-based metrics, with severe changes in the periventricular white matter and a gradient of severity toward the cortex. K(rad)/K(FA) provided clear separation by diagnosis in the Replication cohort (p < 0.001 in periventricular, deep and pericortical compartments). The ratio also correlated negatively with attention (r = −0.51 & −0.50, p < 0.05) and positively with 3-year mean Phe (r = 0.45 & 0.58, p < 0.01). CONCLUSION: DKI reveals regionally-specific, progressive abnormalities of brain diffusion characteristics in PKU, even in the absence of conspicuous clinical signs or abnormalities on conventional MRI. A DKI-based marker derived from these scores (K(rad)/K(FA) ratio) was sensitive to cognitive impairment and PKU control over the medium term and may provide a meaningful subclinical biomarker of end-organ damage. Elsevier 2021-01-09 /pmc/articles/PMC7814191/ /pubmed/33461111 http://dx.doi.org/10.1016/j.nicl.2020.102555 Text en © 2021 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Hellewell, Sarah C.
Welton, Thomas
Eisenhuth, Kate
Tchan, Michel C.
Grieve, Stuart M.
Diffusion kurtosis imaging detects subclinical white matter abnormalities in Phenylketonuria
title Diffusion kurtosis imaging detects subclinical white matter abnormalities in Phenylketonuria
title_full Diffusion kurtosis imaging detects subclinical white matter abnormalities in Phenylketonuria
title_fullStr Diffusion kurtosis imaging detects subclinical white matter abnormalities in Phenylketonuria
title_full_unstemmed Diffusion kurtosis imaging detects subclinical white matter abnormalities in Phenylketonuria
title_short Diffusion kurtosis imaging detects subclinical white matter abnormalities in Phenylketonuria
title_sort diffusion kurtosis imaging detects subclinical white matter abnormalities in phenylketonuria
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814191/
https://www.ncbi.nlm.nih.gov/pubmed/33461111
http://dx.doi.org/10.1016/j.nicl.2020.102555
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