| Title |
PDGF Modulates Synaptic Excitability and Short-Latency Afferent Inhibition in Multiple Sclerosis
|
|---|---|
| Published in |
Neurochemical Research, February 2018
|
| DOI | 10.1007/s11064-018-2484-0 |
| Pubmed ID | |
| Authors |
Dalila Mango, Robert Nisticò, Roberto Furlan, Annamaria Finardi, Diego Centonze, Francesco Mori |
| Abstract |
Maintenance of synaptic plasticity reserve is crucial to contrast clinical deterioration in MS and PDGF plays a key role in this phenomenon. Indeed, higher cerebrospinal fluid PDGF concentration correlates with improved clinical recovery after a relapse, and the amplitude of LTP-like cortical plasticity in relapsing-remitting MS patients. However, LTP-like cortical plasticity varies depending on the individual level of inhibitory cortical circuits. Aim of this study was to explore whether PDGF-CSF concentration correlates with inhibitory cortical circuits explored by means of transcranial magnetic stimulation in patients affected by relapsing-remitting MS. We further performed electrophysiological experiments evaluating GABAergic transmission in the experimental autoimmune encephalomyelitis (EAE) hippocampus. Our results reveal that increased CSF PDGF concentration correlates with decreased short afferent inhibition in the motor cortex in MS patients and decreased GABAergic activity in EAE. These findings show that PDGF affects GABAergic activity both in MS patients and in EAE hippocampus. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 26% |
| Professor > Associate Professor | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Student > Bachelor | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 8 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 3 | 16% |
| Medicine and Dentistry | 2 | 11% |
| Energy | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Sports and Recreations | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 03 February 2018.
All research outputs
#20,462,806
of 23,020,670 outputs
Outputs from Neurochemical Research
#1,700
of 2,107 outputs
Outputs of similar age
#377,640
of 440,103 outputs
Outputs of similar age from Neurochemical Research
#30
of 39 outputs
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