Recent studies have revealed an association between history of suicide attempt and inflammatory markers in both the cerebrospinal fluid and the plasma. Post mortem studies have shown an increase in microglial activation in the brain tissue of suicide victims. However the relationship between peripheral and central inflammation in suicide is probably mediated by complex biological processes that are yet elucidated. An increase of blood S100B levels (biomarker of neurovascular damage; PMID 14530574) has been reported in adolescents with suicidal ideation vs. controls and independently of psychiatric disorder. The investigators hypothesize that peripheral inflammation may alter the blood brain barrier, which normally acts as a filter to ensure proper neuronal functioning, in suicidal patients. They propose to investigate peripheral inflammation, neurovascular permeability and miRNAs in suicidal behavior pathophysiology as biomarkers of suicidal behavior in depression
150 participants will be enrolled, divided into 3 groups: * 50 Suicide attempters, i.e. currently depressed patients with a suicide attempt within the 8 last days (with a maximal lifetime number of 3 previous suicide attempts, including the most recent); * 50 Affective controls, i.e. currently depressed patients without any lifetime history of suicide attempt; * 50 Healthy controls (age- and gender-matched to patients' groups) with no lifetime history of psychiatric disorders. The protocol includes two visits for patients (suicide attempters and affective controls) and only one visit (inclusion) for healthy controls. The first visit is the inclusion visit (Day 0-Day 8). Day 0 is the date of the last suicide attempt for the suicide attempters group and the date of signature of the consent for the affective control and healthy control groups. All the visit exams will be performed within 8 days after Day 0. The second visit takes place one month +/- one week after inclusion. At each visit, a clinical assessment will be performed to characterise psychopathology and suicidal characteristics. Blood samples will be obtained in order to measure inflammatory markers. An MRI will be performed on order to study white matter microstructure and brain functional connectivity networks.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
OTHER
Masking
NONE
Enrollment
150
Blood samples will be collected at both visit between 8:30 a.m. and 10 a.m. and fasting from midnight.
Questionnaires will be administrated at both visits to assess the suicide spectrum, the depression level and some personality traits. Heteroquestionnaires will be administrated during a clinical interview (1h) conducted by a psychiatrist or psychologist. Autoquestionnaires (45 min) will be completed by the participant himself.
MRI will be processed (at both visits for patients and at inclusion visit for healthy controls) to study between groups white matter microstructure and brain functional connectivity networks
University hospital
Montpellier, France
RECRUITINGLevel of blood S100B assayed in the 3 groups, a marker of cerebral and vascular lesions.
Time frame: At inclusion
Level of blood S100B assayed in the 3 groups, a marker of cerebral and vascular lesions.
Time frame: At 1 month follow-up
Cytokines' concentration by multiplex ELISA (pg/ml)
C-C motif chemokine ligand (CCL)2, CCL3, CCL4, CCL11, CCL13, CCL17, CCL20, CCL22, CCL26, C-X-C motif chemokine ligand (CXCL)10, Interleukin (IL)-1α, IL 1ß, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8, IL-10, IL-12/IL-23 p40, IL-12p70, IL-13, IL-15, IL-16, IL-17A, IL- 27, IL-31, interferon (IFN)-γ, Tumor Necrosis Factor ðTNFÞ α, TNF ß and Granulocyte-Macrophage Colony-Stimulating Factor (GM-CSF)
Time frame: At inclusion
Cytokines' concentration by multiplex ELISA (pg/ml)
C-C motif chemokine ligand (CCL)2, CCL3, CCL4, CCL11, CCL13, CCL17, CCL20, CCL22, CCL26, C-X-C motif chemokine ligand (CXCL)10, Interleukin (IL)-1α, IL 1ß, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8, IL-10, IL-12/IL-23 p40, IL-12p70, IL-13, IL-15, IL-16, IL-17A, IL- 27, IL-31, interferon (IFN)-γ, Tumor Necrosis Factor ðTNFÞ α, TNF ß and Granulocyte-Macrophage Colony-Stimulating Factor (GM-CSF)
Time frame: At 1 month follow-up
Specific proteins measurement (pg/ml)
Specific proteins measurement (i.e. GFAP, NFL, UHC-L1, sGPR56, S100B, MBP and related proteins) using digital or classical ELISA or western blot
Time frame: At inclusion
Specific proteins measurement (pg/ml)
Specific proteins measurement (i.e. GFAP, NFL, UHC-L1, sGPR56, S100B, MBP and related proteins) using digital or classical ELISA or western blot
Time frame: At 1 month follow-up
FACS analysis on fresh blood
Determination of the number of white cells
Time frame: At inclusion
FACS analysis on fresh blood
Determination of the number of white cells
Time frame: At 1 month follow-up
FACS analysis on fresh blood
Description of the phenotype of white cells
Time frame: At inclusion
FACS analysis on fresh blood
Description of the phenotype of white cells
Time frame: At 1 month follow-up
FACS analysis on fresh blood
Percentage of cellular inflammatory marker
Time frame: At inclusion
FACS analysis on fresh blood
Percentage of cellular inflammatory marker
Time frame: At 1 month follow-up
Extraction of small and long RNA
Use of RNA-seq, RT-qPCR and digital PCR to quantify RNA
Time frame: At inclusion
Extraction of small and long RNA
Use of RNA-seq, RT-qPCR and digital PCR to quantify RNA
Time frame: At 1 month follow-up
Test of the capacity of leukocytes isolated from patients to provoke vascular inflammation and BBB permeabilization
These experiments will be performed using an in vitro model of vascular cell co-culture. The reactivity of leukocytes to pro-inflammatory challenges and cytokines will be tested.
Time frame: At inclusion
Test of the capacity of leukocytes isolated from patients to provoke vascular inflammation and BBB permeabilization
These experiments will be performed using an in vitro model of vascular cell co-culture. The reactivity of leukocytes to pro-inflammatory challenges and cytokines will be tested.
Time frame: At 1 month follow-up
White matter microstructure analysis
The ihMT (ihMTR) and MT (MTR) ratios will be performed in the apparently normal white and gray matter regions from regional white matter and gray matter atlases
Time frame: At inclusion
White matter microstructure analysis
The ihMT (ihMTR) and MT (MTR) ratios will be performed in the apparently normal white and gray matter regions from regional white matter and gray matter atlases
Time frame: At 1 month follow-up
White matter microstructure analysis
Value of the fraction of anisotropy (FA) along the skeleton of the Tract-based spatial statistics TBSS
Time frame: At inclusion
White matter microstructure analysis
Value of the fraction of anisotropy (FA) along the skeleton of the Tract-based spatial statistics TBSS
Time frame: At 1 month follow-up
White matter microstructure analysis
Extraction by anatomical region of FA, mean, axial and radial diffusivity \[FSL software)
Time frame: At inclusion
White matter microstructure analysis
Extraction by anatomical region of FA, mean, axial and radial diffusivity \[FSL software)
Time frame: At 1 month follow-up
White matter microstructure analysis
Value of diffusion of blood water D\* (pseudocoefficient =perfusive composante) from different region based on regional atlases
Time frame: At inclusion
White matter microstructure analysis
Value of diffusion of blood water D\* (pseudocoefficient =perfusive composante) from different region based on regional atlases
Time frame: At 1 month follow-up
White matter microstructure analysis
Value of diffusion of the tissue (ADC) from different region based on regional atlases
Time frame: At inclusion
White matter microstructure analysis
Value of diffusion of the tissue (ADC) from different region based on regional atlases
Time frame: At 1 month follow-up
White matter microstructure analysis
Value of fraction of perfusion fD\* ( incoherent blood signal divided by total incoherent signal) from different region based on regional atlases
Time frame: At inclusion
White matter microstructure analysis
Value of fraction of perfusion fD\* ( incoherent blood signal divided by total incoherent signal) from different region based on regional atlases
Time frame: At 1 month follow-up
Brain functional connectivity networks analysis : extraction of resting state functional connectivity metrics from functional atlas or by voxel
Regional homogeneity
Time frame: At inclusion
Brain functional connectivity networks analysis : extraction of resting state functional connectivity metrics from functional atlas or by voxel
Regional homogeneity
Time frame: At 1 month follow-up
Brain functional connectivity networks analysis : extraction of resting state functional connectivity metrics from functional atlas or by voxel
Amplitude of low frequency fluctuations
Time frame: At inclusion
Brain functional connectivity networks analysis : extraction of resting state functional connectivity metrics from functional atlas or by voxel
Amplitude of low frequency fluctuations
Time frame: At 1 month follow-up
Brain functional connectivity networks analysis : extraction of resting state functional connectivity metrics from functional atlas or by voxel
Functional homotopy
Time frame: At inclusion
Brain functional connectivity networks analysis : extraction of resting state functional connectivity metrics from functional atlas or by voxel
Functional homotopy
Time frame: At 1 month follow-up
Brain functional connectivity networks analysis : extraction of resting state functional connectivity metrics from functional atlas or by voxel
Graph theory metrics
Time frame: At inclusion
Brain functional connectivity networks analysis : extraction of resting state functional connectivity metrics from functional atlas or by voxel
Graph theory metrics
Time frame: At 1 month follow-up
Cerebral morphometric extraction (3DT1): automatic segmentation
Evaluation of the volume from cerebral anatomical atlas
Time frame: At inclusion
Cerebral morphometric extraction (3DT1): automatic segmentation
Evaluation of the volume from cerebral anatomical atlas
Time frame: At 1 month follow-up
Cerebral morphometric extraction (3DT1): automatic segmentation
Evaluation of the surface from cerebral anatomical atlas
Time frame: At inclusion
Cerebral morphometric extraction (3DT1): automatic segmentation
Evaluation of the surface from cerebral anatomical atlas
Time frame: At 1 month follow-up
Cerebral morphometric extraction (3DT1): automatic segmentation
Evaluation of the cortical thickness from cerebral anatomical atlas
Time frame: At inclusion
Cerebral morphometric extraction (3DT1): automatic segmentation
Evaluation of the cortical thickness from cerebral anatomical atlas
Time frame: At 1 month follow-up
Cerebral blood analysis
Extraction of blood flow values from 3D PCASL acquisition from vascular atlas
Time frame: At inclusion
Cerebral blood analysis
Extraction of blood flow values from 3D PCASL acquisition from vascular atlas
Time frame: At 1 month follow-up
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