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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:
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Suicide attempters | Experimental | Currently depressed patients with a suicide attempt within the 8 last days (with a maximal lifetime number of 3 previous suicide attempt including the most recent ); |
|
| Affective controls | Active Comparator | Currently depressed patients without any lifetime history of suicide attempt |
|
| Healthy controls | Active Comparator | Participants with no lifetime history of psychiatric disorders |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Blood samples | Biological | Blood samples will be collected at both visit between 8:30 a.m. and 10 a.m. and fasting from midnight. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Level of blood S100B assayed in the 3 groups, a marker of cerebral and vascular lesions. | At inclusion | |
| Level of blood S100B assayed in the 3 groups, a marker of cerebral and vascular lesions. | At 1 month follow-up |
| Measure | Description | Time Frame |
|---|---|---|
| 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) |
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Common inclusion criteria:
Specific inclusion criteria
Suicide attempters:
Affective controls:
Healthy controls:
- Subject who have no current or past personal history of psychiatric disorders according to DSM5 criteria.
Non inclusion criteria
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Philippe COURTET, MD PhD | Contact | +33 4 67 33 85 81 | p-courtet@chu-montpellier.fr | |
| Emilie OLIE, MD PhD | Contact | +33 4 67 33 85 81 | e-olie@chu-montpellier.fr |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University hospital | Recruiting | Montpellier | 34295 | France |
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| ID | Term |
|---|---|
| D013405 | Suicide |
| D003863 | Depression |
| ID | Term |
|---|---|
| D016728 | Self-Injurious Behavior |
| D001526 | Behavioral Symptoms |
| D001519 | Behavior |
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| ID | Term |
|---|---|
| D001800 | Blood Specimen Collection |
| D009682 | Magnetic Resonance Spectroscopy |
| ID | Term |
|---|---|
| D013048 | Specimen Handling |
| D019411 | Clinical Laboratory Techniques |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
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| Hetero-questionnaires and auto-questionnaires | Other | 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. |
|
| Magnetic Resonance Imaging (MRI) | Other | 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 |
|
| 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) | 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 | 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 | At 1 month follow-up |
| FACS analysis on fresh blood | Determination of the number of white cells | At inclusion |
| FACS analysis on fresh blood | Determination of the number of white cells | At 1 month follow-up |
| FACS analysis on fresh blood | Description of the phenotype of white cells | At inclusion |
| FACS analysis on fresh blood | Description of the phenotype of white cells | At 1 month follow-up |
| FACS analysis on fresh blood | Percentage of cellular inflammatory marker | At inclusion |
| FACS analysis on fresh blood | Percentage of cellular inflammatory marker | At 1 month follow-up |
| Extraction of small and long RNA | Use of RNA-seq, RT-qPCR and digital PCR to quantify RNA | At inclusion |
| Extraction of small and long RNA | Use of RNA-seq, RT-qPCR and digital PCR to quantify RNA | 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. | 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. | 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 | 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 | 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 | At inclusion |
| White matter microstructure analysis | Value of the fraction of anisotropy (FA) along the skeleton of the Tract-based spatial statistics TBSS | At 1 month follow-up |
| White matter microstructure analysis | Extraction by anatomical region of FA, mean, axial and radial diffusivity [FSL software)](streamdown:incomplete-link) | At inclusion |
| White matter microstructure analysis | Extraction by anatomical region of FA, mean, axial and radial diffusivity [FSL software)](streamdown:incomplete-link) | 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 | At inclusion |
| White matter microstructure analysis | Value of diffusion of blood water D* (pseudocoefficient =perfusive composante) from different region based on regional atlases | At 1 month follow-up |
| White matter microstructure analysis | Value of diffusion of the tissue (ADC) from different region based on regional atlases | At inclusion |
| White matter microstructure analysis | Value of diffusion of the tissue (ADC) from different region based on regional atlases | 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 | 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 | 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 | At inclusion |
| Brain functional connectivity networks analysis : extraction of resting state functional connectivity metrics from functional atlas or by voxel | Regional homogeneity | 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 | 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 | 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 | At inclusion |
| Brain functional connectivity networks analysis : extraction of resting state functional connectivity metrics from functional atlas or by voxel | Functional homotopy | 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 | At inclusion |
| Brain functional connectivity networks analysis : extraction of resting state functional connectivity metrics from functional atlas or by voxel | Graph theory metrics | At 1 month follow-up |
| Cerebral morphometric extraction (3DT1): automatic segmentation | Evaluation of the volume from cerebral anatomical atlas | At inclusion |
| Cerebral morphometric extraction (3DT1): automatic segmentation | Evaluation of the volume from cerebral anatomical atlas | At 1 month follow-up |
| Cerebral morphometric extraction (3DT1): automatic segmentation | Evaluation of the surface from cerebral anatomical atlas | At inclusion |
| Cerebral morphometric extraction (3DT1): automatic segmentation | Evaluation of the surface from cerebral anatomical atlas | At 1 month follow-up |
| Cerebral morphometric extraction (3DT1): automatic segmentation | Evaluation of the cortical thickness from cerebral anatomical atlas | At inclusion |
| Cerebral morphometric extraction (3DT1): automatic segmentation | Evaluation of the cortical thickness from cerebral anatomical atlas | At 1 month follow-up |
| Cerebral blood analysis | Extraction of blood flow values from 3D PCASL acquisition from vascular atlas | At inclusion |
| Cerebral blood analysis | Extraction of blood flow values from 3D PCASL acquisition from vascular atlas | At 1 month follow-up |
| D011677 | Punctures |
| D013514 | Surgical Procedures, Operative |
| D008919 | Investigative Techniques |
| D013057 | Spectrum Analysis |
| D002623 | Chemistry Techniques, Analytical |