Magnetic resonance imaging and spectroscopy in late-onset GM2-gangliosidosis.
Magnetic resonance imaging and spectroscopy in late-onset GM2-gangliosidosis.
复制标题
DOI:
10.1016/j.ymgme.2021.06.008
复制
发表时间:
2021-08
影响因子:
3.8
通讯作者:
Ratai EM
中科院分区:
文献类型:
--
作者:
Rowe OE;Rangaprakash D;Weerasekera A;Godbole N;Haxton E;James PF;Stephen CD;Barry RL;Eichler FS;Ratai EM
Our study aimed to quantify structural changes in relation to metabolic abnormalities in the cerebellum, thalamus, and parietal cortex of patients with late-onset GM2-Gangliosidosis (LOGG), which encompasses late-onset Tay-Sachs disease (LOTS) and Sandhoff disease (LOSD). We enrolled 10 patients with LOGG (7 LOTS, 3 LOSD) who underwent a neurological assessment battery and 7 age-matched controls. Structural MRI and MRS were performed on a 3T scanner. Structural volumes were obtained from FreeSurfer and normalized by total intracranial volume. Quantified metabolites included N-acetylaspartate (NAA), choline (Cho), myo-inositol (mI), creatine (Cr) and combined glutamate-glutamine (Glx). Metabolic concentrations were corrected for partial volume effects. Structural analyses revealed significant cerebellar atrophy in the LOGG cohort, which was primarily driven by LOTS patients. NAA was lower and mI higher in LOGG, but this was also significantly driven by the LOTS patients. Clinical ataxia deficits (via the Scale for the Assessment and Rating of Ataxia) were associated with neuronal injury (via NAA), neuroinflammation (via mI), and volumetric atrophy in the cerebellum. The decrease in NAA in the cerebellum suggests that, in addition to cerebellar atrophy, there is ongoing impaired neuronal function and/or loss, while an increase in mI indicates possible neuroinflammation in LOGG (more so within the LOTS subvariant). Quantifying cerebellar atrophy in relation to neurometabolic differences in LOGG may lead to improvements in assessing disease severity, progression, and pharmacological efficacy. Lastly, future neuroimaging studies in LOGG are required to contrast LOTS and LOSD more accurately.
登录
查看更多内容
影响因子:
--
作者:
Kalra, Sanjay;Hanstock, Christopher C.;Johnston, Wendy S.
通讯作者:
Johnston, Wendy S.
影响因子:
11
作者:
Delnooz, C. C. S.;Lefeber, D. J.;van de Warrenburg, B. P. C.
通讯作者:
van de Warrenburg, B. P. C.
影响因子:
3.4
作者:
Deik, Andres;Saunders-Pullman, Rachel
通讯作者:
Saunders-Pullman, Rachel
影响因子:
4.2
作者:
Elstein, D.;Doniger, G. M.;Zimran, A.
通讯作者:
Zimran, A.
影响因子:
4.4
作者:
Hund, E;Grau, A;Meinck, HM
通讯作者:
Meinck, HM