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Assessment of Translocator Protein Density, as Marker of Neuroinflammation, in Major Depressive Disorder: A Pilot, Multicenter, Comparative, Controlled, Brain PET Study (INFLADEP Study)

Overview of attention for article published in Frontiers in Psychiatry, July 2018
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Title
Assessment of Translocator Protein Density, as Marker of Neuroinflammation, in Major Depressive Disorder: A Pilot, Multicenter, Comparative, Controlled, Brain PET Study (INFLADEP Study)
Published in
Frontiers in Psychiatry, July 2018
DOI 10.3389/fpsyt.2018.00326
Pubmed ID
Authors

Antoine Yrondi, Bruno Aouizerate, Wissam El-Hage, Fanny Moliere, Claire Thalamas, Nicolas Delcourt, Marie Sporer, Simon Taib, Laurent Schmitt, Nicolas Arlicot, Deborah Meligne, Agnes Sommet, Anne S. Salabert, Sebastien Guillaume, Philippe Courtet, Florence Galtier, Denis Mariano-Goulart, Nicolas Menjot De Champfleur, Emmanuelle Le Bars, Thomas Desmidt, Mathieu Lemaire, Vincent Camus, Maria J. Santiago-Ribeiro, Jean P. Cottier, Philippe Fernandez, Marie Meyer, Vincent Dousset, Olivier Doumy, Didier Delhaye, Lucile Capuron, Marion Leboyer, Emmanuel Haffen, Patrice Péran, Pierre Payoux, Christophe Arbus

Abstract

Background: Major depressive disorder (MDD) is a serious public health problem with high lifetime prevalence (4.4-20%) in the general population. The monoamine hypothesis is the most widespread etiological theory of MDD. Also, recent scientific data has emphasized the importance of immuno-inflammatory pathways in the pathophysiology of MDD. The lack of data on the magnitude of brain neuroinflammation in MDD is the main limitation of this inflammatory hypothesis. Our team has previously demonstrated the relevance of [18F] DPA-714 as a neuroinflammation biomarker in humans. We formulated the following hypotheses for the current study: (i) Neuroinflammation in MDD can be measured by [18F] DPA-714; (ii) its levels are associated with clinical severity; (iii) it is accompanied by anatomical and functional alterations within the frontal-subcortical circuits; (iv) it is a marker of treatment resistance. Methods: Depressed patients will be recruited throughout 4 centers (Bordeaux, Montpellier, Tours, and Toulouse) of the French network from 13 expert centers for resistant depression. The patient population will be divided into 3 groups: (i) experimental group-patients with current MDD (n = 20), (ii) remitted depressed group-patients in remission but still being treated (n = 20); and, (iii) control group without any history of MDD (n = 20). The primary objective will be to compare PET data (i.e., distribution pattern of neuroinflammation) between the currently depressed group and the control group. Secondary objectives will be to: (i) compare neuroinflammation across groups (currently depressed group vs. remitted depressed group vs. control group); (ii) correlate neuroinflammation with clinical severity across groups; (iii) correlate neuroinflammation with MRI parameters for structural and functional integrity across groups; (iv) correlate neuroinflammation and peripheral markers of inflammation across groups. Discussion: This study will assess the effects of antidepressants on neuroinflammation as well as its role in the treatment response. It will contribute to clarify the putative relationships between neuroinflammation quantified by brain neuroimaging techniques and peripheral markers of inflammation. Lastly, it is expected to open innovative and promising therapeutic perspectives based on anti-inflammatory strategies for the management of treatment-resistant forms of MDD commonly seen in clinical practice. Clinical trial registration (reference: NCT03314155): https://www.clinicaltrials.gov/ct2/show/NCT03314155?term=neuroinflammation&cond=depression&cntry=FR&rank=1.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 16%
Student > Ph. D. Student 9 13%
Student > Master 9 13%
Student > Bachelor 8 12%
Student > Doctoral Student 3 4%
Other 8 12%
Unknown 21 30%
Readers by discipline Count As %
Medicine and Dentistry 13 19%
Psychology 12 17%
Neuroscience 7 10%
Agricultural and Biological Sciences 5 7%
Social Sciences 2 3%
Other 7 10%
Unknown 23 33%
Attention Score in Context

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 24 July 2018.
All research outputs
#18,643,992
of 23,096,849 outputs
Outputs from Frontiers in Psychiatry
#7,003
of 10,221 outputs
Outputs of similar age
#253,793
of 329,806 outputs
Outputs of similar age from Frontiers in Psychiatry
#152
of 175 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,221 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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