Title |
Cerebrospinal Fluid Matrix Metalloproteinases Are Elevated in Cerebral Adrenoleukodystrophy and Correlate with MRI Severity and Neurologic Dysfunction
|
---|---|
Published in |
PLOS ONE, November 2012
|
DOI | 10.1371/journal.pone.0050430 |
Pubmed ID | |
Authors |
Kathryn A. Thibert, Gerald V. Raymond, David R. Nascene, Weston P. Miller, Jakub Tolar, Paul J. Orchard, Troy C. Lund |
Abstract |
X-linked adrenoleukodystrophy results from mutations in the ABCD1 gene disrupting the metabolism of very-long-chain fatty acids. The most serious form of ALD, cerebral adrenoleukodystrophy (cALD), causes neuroinflammation and demyelination. Neuroimaging in cALD shows inflammatory changes and indicates blood-brain-barrier (BBB) disruption. We hypothesize that disruption may occur through the degradation of the extracellular matrix defining the BBB by matrix metalloproteinases (MMPs). MMPs have not been evaluated in the setting of cALD. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 2% |
Spain | 1 | 2% |
United States | 1 | 2% |
Portugal | 1 | 2% |
Unknown | 40 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 16% |
Other | 6 | 14% |
Student > Master | 6 | 14% |
Researcher | 5 | 11% |
Student > Bachelor | 3 | 7% |
Other | 7 | 16% |
Unknown | 10 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 25% |
Neuroscience | 7 | 16% |
Nursing and Health Professions | 2 | 5% |
Agricultural and Biological Sciences | 2 | 5% |
Computer Science | 2 | 5% |
Other | 8 | 18% |
Unknown | 12 | 27% |