Novel imaging technologies for genetic diagnoses in the inborn errors of metabolism.
Genetics
MRI
Magnetic Resonance Spectroscopy
diffusion tensor imaging
functional MRI
functional near infrared spectroscopy
inborn error of metabolism
neuroimaging
Journal
Journal of translational genetics and genomics
ISSN: 2578-5281
Titre abrégé: J Transl Genet Genom
Pays: United States
ID NLM: 101754424
Informations de publication
Date de publication:
2020
2020
Historique:
entrez:
9
5
2022
pubmed:
1
1
2020
medline:
1
1
2020
Statut:
ppublish
Résumé
Many inborn errors of metabolism and genetic disorders affect the brain. The brain biochemistry may differ from that in the periphery and is not accessible by simple blood and urine sampling. Therefore, neuroimaging has proven to be a valuable tool to not only evaluate the brain structure, but also biochemistry, blood flow and function. Neuroimaging in patients with inborn errors of metabolism can include additional sequences in addition to T1 and T2-weighted imaging because in early stages, there may be no significant findings on the routine sequnces due to the lack of sensitivity or the evolution of abnormalities lags behind the ability of the imaging to detect it. In addition, findings on T1 and T2-weighted imaging of several inborn errors of metabolism may be non-specific and be seen in other non-genetic conditions. Therefore, additional neuroimaging modalities that have been employed including diffusion tensor imaging (DTI), magnetic resonance spectroscopy, functional MRI (fMRI), functional near infrared spectroscopy (fNIRS), or positron emission tomography (PET) imaging may further inform underlying changes in myelination, biochemistry, and functional connectivity. The use of Magnetic Resonance Spectroscopy in certain disorders may add a level of specificity depending upon the metabolite levels that are abnormal, as well as provide information about the process of brain injury (i.e., white matter, gray matter, energy deficiency, toxic buildup or depletion of key metabolites). It is even more challenging to understand how genetic or metabolic disorders contribute to short and/or long term changes in cognition which represent the downstream effects of IEMs. In order to image "cognition" or the downstream effects of a metabolic disorder on domains of brain function, more advanced techniques are required to analyze underlying fiber tracts or alternatively, methods such as fMRI enable generation of brain activation maps after both task based and resting state conditions. DTI can be used to look at changes in white matter tracks. Each imaging modality can explore an important aspect of the anatomy, physiology or biochemisty of the central nervous system. Their properties, pros and cons are discussed in this article. These imaging modalities will be discussed in the context of several inborn errors of metabolism including Galactosemia, Phenylketonruia, Maple syrup urine disease, Methylmalonic acidemia, Niemann-Pick Disease, type C1, Krabbe Disease, Ornithine transcarbamylase deficiency, Sjogren Larsson syndrome, Pelizeaus-Merzbacher disease, Pyruvate dehydrogenase deficiency, Nonketotic Hyperglycinemia and Fabry disease. Space constraints do not allow mention of all the disorders in which one of these modalities has been investigated, or where it would add value to diagnosis or disease progression.
Identifiants
pubmed: 35529470
doi: 10.20517/jtgg.2020.09
pmc: PMC9075742
mid: NIHMS1649044
doi:
Types de publication
Journal Article
Langues
eng
Pagination
429-445Subventions
Organisme : NCRR NIH HHS
ID : M01 RR023942
Pays : United States
Organisme : NICHD NIH HHS
ID : U54 HD061221
Pays : United States
Déclaration de conflit d'intérêts
DECLARATIONS Authors’ contributions Design of the manuscript, writing and editing the manuscript: Gropman AL, Anderson A Conflicts of interest Both authors declared that there are no conflicts of interest.
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