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Change in PI and lack of personnel available to complete futher enrollment
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| Name | Class |
|---|---|
| University of Connecticut | OTHER |
| University of Texas | OTHER |
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The purpose of this project is to determine if specific gut microbiome or gut-derived metabolites are associated with depression in patients with Multiple Sclerosis (pwMS). Mechanistically, the investigators further hypothesize that depression in pwMS is related to decreased abundance of gut bacteria with GABA-producing activities and/or with anti-inflammatory properties. To determine if the presence of depression in pwMS is associated with specific gut microbiome, gut-derived metabolites or peripheral blood immune profiles. The investigators will perform a cross-sectional study in clinically stable pwMS recruited at the John L. Trotter MS Center. The investigators will evaluate the presence of depression using the Quality of Life in Neurological Disorders (Neuro-Qol) depression scale, one of the 13 scales in the Neuro-Qol recently developed by the NIH using modern psychometric techniques and validated in pwMS.
A total of 120 pwMS will be recruited: 60 with and 60 without depression based on the Neuro-Qol depression scale. At the study visit each participant will be asked to provide a stool sample for microbiome analyses and a blood sample for peripheral blood immunophenotyping. Potential confounders will be collected and treated as covariates in the analyses. These include: 1) degree of disability (EDSS); 2) treatment with anti-depressants and DMTs; 3) a 4-days food diary to evaluate diet composition; 4) weight and height to calculate the BMI; 5) fatigue; 6) level of physical activity; 7) sleep quality.
Our overall hypothesis is that specific gut microbiome or gut-derived metabolites are associated with depression in pwMS. Mechanistically, the investigators further hypothesize that depression in pwMS is related to decreased abundance of gut bacteria with GABA-producing activities and/or with anti-inflammatory properties.
AIM 1. To determine if the presence of depression in pwMS is associated with specific gut microbiome, gut-derived metabolites or peripheral blood immune profiles.
The investigators will perform a cross-sectional study in clinically stable pwMS recruited at the John L. Trotter MS Center. The investigators will evaluate the presence of depression using the Quality of Life in Neurological Disorders (Neuro-Qol) depression scale, one of the 13 scales in the Neuro-Qol recently developed by the NIH using modern psychometric techniques and validated in pwMS. A total of 120 pwMS will be recruited: 60 with and 60 without depression based on the Neuro-Qol depression scale. At the study visit each participant will be asked to provide a stool sample for microbiome analyses and a blood sample for peripheral blood immunophenotyping. Potential confounders will be collected and treated as covariates in the analyses. These include: 1) degree of disability (EDSS); 2) treatment with anti-depressants and DMTs; 3) a 4-days food diary to evaluate diet composition; 4) the investigatorsight and height to calculate the BMI; 5) fatigue; 6) level of physical activity; 7) sleep quality.
AIM 1A. To determine if depression will correlate with specific gut microbiome or gut-derived metabolites profiles in pwMS.
Stool samples will be processed for microbiome sequencing and metabolome characterization.
AIM 1B. To determine if depression will correlate with a specific peripheral blood immune-inflammatory profile in pwMS.
A peripheral blood sample will be obtained from each participant to perform: 1) peripheral blood immune cell phenotyping to characterize the main immune cell subsets and their activation; 2) intracellular cytokine production to study cytokine production profiles of blood lymphocytes and monocytes.
AIM 2. To quantify GABA production in pwMS with or without depression and determine gut microbiome-immune system interaction in vitro.
In this aim the investigators will perform functional studies to evaluate the potential of gut microbiota from pwMS with or without depression to produce GABA and to modulate immune-inflammatory responses.
AIM 2A. To quantify GABA levels in whole stool, specific stool bacterial isolates and blood of pwMS with or without depression.
The investigators will evaluate GABA levels in the stool and blood of pwMS. In addition, the investigators will measure GABA production by Bacteroides ssp isolated from the gut microbiota of pwMS.
Aim 2B. To evaluate the effects of whole stool and specific bacterial species from pwMS on blood immune cell phenotype and cytokine production.
The investigators will test how whole gut microbiome or specific bacteria (identified in Aim 1 as associated with depression in pwMS) can modulate immune cell function. Peripheral blood mononuclear cells (PBMC) from healthy donors will be cultured in conditioning media from whole stool or bacteria of interest isolated from pwMS. PBMC phenotype and cytokine production after exposure in vitro will be characterized by flow cytometry.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| With Neuro-QoL Depression scale T-score > 55 |
|
| |
| With Neuro-QoL Depression scale T-score < 55 |
|
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Neuro-QoL T-score determination | Other | Neuro-Qol depression scale, using a T-score of 55 as a threshold |
|
| Measure | Description | Time Frame |
|---|---|---|
| Gut microbiome, gut-derived metabolites and peripheral blood immune profiles | Gut microbiome will be characterized by metagenomic sequencing. Untargeted metabolome analysis performed by LC-MS. Peripheral blood phenotyping performed by flow cytometry analysis | 3 years |
| GABA levels in whole stool, specific stool bacteria isolates and blood | GABA levels in whole stool measured by targeted LC-MS Effects of whole stool and specific bacterial species from people with MS with or without depression on blood immune cell phenotype and cytokine production measured by flow cytometry. | 3 Years |
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Patients with Multiple Sclerosis (MS)
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| Name | Affiliation | Role |
|---|---|---|
| Laura Piccio, MD, PhD | Washington University School of Medicine | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Washington University in St Louis | St Louis | Missouri | 63110 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 25112509 | Background | Feinstein A, Magalhaes S, Richard JF, Audet B, Moore C. The link between multiple sclerosis and depression. Nat Rev Neurol. 2014 Sep;10(9):507-17. doi: 10.1038/nrneurol.2014.139. Epub 2014 Aug 12. | |
| 30319458 | Background | Liu Y, Tang X. Depressive Syndromes in Autoimmune Disorders of the Nervous System: Prevalence, Etiology, and Influence. Front Psychiatry. 2018 Sep 25;9:451. doi: 10.3389/fpsyt.2018.00451. eCollection 2018. |
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Will be determined based whether or not recruitment numbers will be sufficient to power outcome analyses.
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| ID | Term |
|---|---|
| D009103 | Multiple Sclerosis |
| D003863 | Depression |
| ID | Term |
|---|---|
| D020278 | Demyelinating Autoimmune Diseases, CNS |
| D020274 | Autoimmune Diseases of the Nervous System |
| D009422 | Nervous System Diseases |
| D003711 | Demyelinating Diseases |
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A peripheral blood sample will be obtained from each participant to perform: 1) peripheral blood immune cell phenotyping to characterize the main immune cell subsets and their activation; 2) intracellular cytokine production to study cytokine production profiles of blood lymphocytes and monocytes.
Stool samples will be processed for microbiome sequencing and metabolome characterization.
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| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |
| D001526 | Behavioral Symptoms |
| D001519 | Behavior |