| Title |
Striatal hypometabolism in premanifest and manifest Huntington’s disease patients
|
|---|---|
| Published in |
European Journal of Nuclear Medicine and Molecular Imaging, June 2016
|
| DOI | 10.1007/s00259-016-3445-y |
| Pubmed ID | |
| Authors |
Diego Alfonso López-Mora, Valle Camacho, Jesús Pérez-Pérez, Saül Martínez-Horta, Alejandro Fernández, Frederic Sampedro, Alberto Montes, Gloria Andrea Lozano-Martínez, Beatriz Gómez-Anson, Jaime Kulisevsky, Ignasi Carrió |
| Abstract |
To assess metabolic changes in cerebral (18)F-FDG PET/CT in premanifest and manifest Huntington's disease (HD) subjects compared to a control group and to correlate (18)F-FDG uptake patterns with different disease stages. Thirty-three gene-expanded carriers (Eight males; mean age: 43 y/o; CAG > 39) were prospectively included. Based on the Unified Huntington's Disease Rating Scale Total Motor Score and the Total Functional Capacity, subjects were classified as premanifest (preHD = 15) and manifest (mHD = 18). Estimated time disease-onset was calculated using the Langbehn formula, which allowed classifying preHD as far-to (preHD-A) and close-to (PreHD-B) disease-onset. Eighteen properly matched participants were included as a control group (CG). All subjects underwent brain (18)F-FDG PET/CT and MRI. (18)F-FDG PET/CT were initially assessed by two nuclear medicine physicians identifying qualitative metabolic changes in the striatum. Quantitative analysis was performed using SPM8 with gray matter atrophy correction using the BPM toolbox. Visual analysis showed a marked striatal hypometabolism in mHD. A normal striatal distribution of (18)F-FDG uptake was observed for most of the preHD subjects. Quantitative analysis showed a significant striatal hypometabolism in mHD subjects compared to CG (p < 0.001 uncorrected, k = 50 voxels). In both preHD groups we observed a significant striatal hypometabolism with respect to CG (p < 0.001 uncorrected, k = 50 voxels). In mHD subjects we observed a significant striatal hypometabolism with respect to both preHD groups (p < 0.001 uncorrected, k = 50 voxels). (18)F-FDG PET/CT might be a helpful tool to identify patterns of glucose metabolism in the striatum across the stages of HD and might be relevant in assessing the clinical status of gene-expanded HD carriers due to the fact that dysfunctional glucose metabolism begins at early preHD stages of the disease. (18)F-FDG PET/CT appears as a promising method to monitor the response to disease-modifying therapies even if applied in premanifest subjects. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Unknown | 53 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 19% |
| Student > Ph. D. Student | 9 | 17% |
| Student > Master | 7 | 13% |
| Student > Doctoral Student | 4 | 7% |
| Student > Bachelor | 3 | 6% |
| Other | 9 | 17% |
| Unknown | 12 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 24% |
| Neuroscience | 9 | 17% |
| Psychology | 5 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 17 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 July 2016.
All research outputs
#13,524,909
of 23,806,312 outputs
Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#1,632
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Outputs of similar age
#181,656
of 354,917 outputs
Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#18
of 50 outputs
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