| Title |
The relationship between CSF biomarkers and cerebral metabolism in early-onset Alzheimer’s disease
|
|---|---|
| Published in |
European Journal of Nuclear Medicine and Molecular Imaging, August 2018
|
| DOI | 10.1007/s00259-018-4113-1 |
| Pubmed ID | |
| Authors |
Alice Jaillard, Matthieu Vanhoutte, Aurélien Maureille, Susanna Schraen, Emilie Skrobala, Xavier Delbeuck, Adeline Rollin-Sillaire, Florence Pasquier, Stéphanie Bombois, Franck Semah |
| Abstract |
One can reasonably suppose that cerebrospinal spinal fluid (CSF) biomarkers can identify distinct subgroups of Alzheimer's disease (AD) patients. In order to better understand differences in CSF biomarker patterns, we used FDG PET to assess cerebral metabolism in CSF-based subgroups of AD patients. Eighty-five patients fulfilling the criteria for probable early-onset AD (EOAD) underwent lumbar puncture, brain 18F-FDG PET and MRI. A cluster analysis was performed, with the CSF biomarkers for AD as variables. Vertex-wise, partial-volume-corrected metabolic maps were computed for the patients and compared between the clusters of patients. Linear correlations between each CSF biomarker and the metabolic maps were assessed. Three clusters emerged. The "Aβ42" cluster contained 32 patients with low levels of Aβ42, while tau and p-tau remained within the normal range. The "Aβ42 + tau" cluster contained 41 patients with low levels of Aβ42 and high levels of tau and p-tau. Lastly, the "tau" cluster contained 12 patients with very high levels of tau and p-tau and low-normal levels of Aβ42. There were no inter-cluster differences in age, sex ratio, educational level, APOE genotype, disease duration or disease severity. The "Aβ42 + tau" and "tau" clusters displayed more marked frontal hypometabolism than the "Aβ42" cluster did, and frontal metabolism was significantly negatively correlated with the CSF tau level. The "Aβ42" and "Aβ42 + tau" clusters displayed more marked hypometabolism in the left occipitotemporal region than the "tau" cluster did, and metabolism in this region was significantly and positively correlated with the CSF Aβ42 level. The CSF biomarkers can be used to identify metabolically distinct subgroups of patients with EOAD. Future research should seek to establish whether these biochemical differences have clinical consequences. |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 23% |
| Researcher | 9 | 23% |
| Student > Master | 8 | 20% |
| Other | 2 | 5% |
| Student > Ph. D. Student | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 40% |
| Nursing and Health Professions | 4 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Neuroscience | 2 | 5% |
| Psychology | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 10 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 31 August 2018.
All research outputs
#4,412,365
of 23,806,312 outputs
Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#476
of 3,083 outputs
Outputs of similar age
#83,716
of 336,129 outputs
Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#8
of 58 outputs
Altmetric has tracked 23,806,312 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,083 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 336,129 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.