Shanghai Mental Health Center
Shanghai, 200030, China
Location contact
He
CONTACT
Shen He, Dr.
CONTACT
Shen He, Dr.
PRINCIPAL_INVESTIGATOR
NCT Number: NCT07735143
Major depressive disorder (MDD) is a common mental health condition characterized by substantial clinical heterogeneity and variability in treatment response. Current diagnosis and treatment selection for MDD mainly rely on clinical assessments, and reliable biological markers that can support diagnosis, predict antidepressant treatment response, guide personalized treatment, and improve understanding of disease mechanisms remain limited.
The goal of this prospective observational cohort study is to develop and optimize multi-omics-based models for MDD diagnosis and antidepressant treatment response prediction using longitudinal clinical characteristics and biological data collected from an independent prospective cohort. The study also aims to evaluate the generalizability and predictive performance of existing multi-omics-based models in this independent cohort of participants aged 14-45 years.
The main questions it aims to answer are:
Can integrated clinical and multi-omics features identify biomarkers and develop predictive models for MDD diagnosis and antidepressant treatment response? Can existing multi-omics-based models for MDD diagnosis and treatment response prediction be replicated and validated in an independent prospective cohort?
Participants with MDD and healthy controls will undergo standardized clinical assessments, longitudinal follow-up, and biological sample collection for multi-omics profiling. Clinical and multi-omics data will be integrated to identify biomarkers, develop and validate predictive models for MDD diagnosis, antidepressant treatment response, and long-term outcomes, and explore biological pathways and potential therapeutic targets associated with MDD.
The study is expected to improve understanding of the biological heterogeneity of MDD and contribute to the development of objective approaches for diagnosis, treatment response prediction, personalized care, and future therapeutic discovery.
Trial opening soon.
Get Notified14 year–45 year
All sexes
Observational
Shanghai, 200030, China
He
CONTACT
Shen He, Dr.
CONTACT
Shen He, Dr.
PRINCIPAL_INVESTIGATOR
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
General criteria:
Major Depressive Disorder (MDD) cohort:
Healthy Control (HC) cohort:
Exclusion criteria
For all participants:
For the MDD cohort:
For the HC cohort:
Time frame: Baseline to Week 8
The primary outcome is the change in Montgomery-Åsberg Depression Rating Scale (MADRS) total score from baseline to Week 8 after antidepressant treatment. The MADRS is a clinician-rated scale assessing depressive symptom severity. The total score ranges from 0 to 60, with higher scores indicating greater depressive symptom severity (worse outcome). Change in MADRS total score from baseline to Week 8 will be assessed as the primary clinical endpoint.
Time frame: Baseline to Week 8
Treatment response is defined as a ≥50% reduction from baseline in Montgomery-Åsberg Depression Rating Scale (MADRS) total score at Week 8. The MADRS score ranges from 0 to 60, with higher scores indicating greater depressive symptom severity (worse outcome). The outcome measure is the percentage of participants achieving treatment response.
Time frame: Baseline to Week 8
Treatment response is defined as a ≥50% reduction from baseline in 17-item Hamilton Depression Rating Scale (HAMD-17) total score at Week 8. The HAMD-17 total score ranges from 0 to 52, with higher scores indicating greater depressive symptom severity (worse outcome). The outcome measure is the percentage of participants achieving treatment response.
Time frame: Baseline to Week 8
Remission is defined as a total score ≤10 on the Montgomery-Åsberg Depression Rating Scale (MADRS) at Week 8. The MADRS score ranges from 0 to 60, with higher scores indicating greater depressive symptom severity (worse outcome). The outcome measure is the percentage of participants achieving remission.
Time frame: Baseline to Week 8
Remission is defined as a total score ≤7 on the 17-item Hamilton Depression Rating Scale (HAMD-17) at Week 8. The HAMD-17 score ranges from 0 to 52, with higher scores indicating greater depressive symptom severity (worse outcome). The outcome measure is the percentage of participants achieving remission.
Time frame: Baseline to Week 8
The Hamilton Anxiety Rating Scale (HAMA) is a clinician-rated scale assessing anxiety symptom severity. The total score ranges from 0 to 56, with higher scores indicating greater anxiety severity (worse outcome).
Time frame: Baseline to Week 8
The Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN) assesses biological rhythm disruption. The total score range from 18 to 72, with higher scores indicating greater circadian rhythm disturbance (worse outcome).
Time frame: Baseline to Week 8
The Clinical Global Impression-Severity (CGI-S) scale assesses overall illness severity as rated by the clinician. Scores range from 1 to 7, with higher scores indicating greater illness severity (worse outcome). Change in CGI-S score from baseline to Week 8 will be assessed.
Time frame: Baseline to Week 8
The Clinical Global Impression-Improvement (CGI-I) scale assesses overall clinical improvement after treatment. Scores range from 1 to 7, with lower scores indicating greater improvement (better outcome).
Time frame: Baseline to Week 8
Number of participants with suicidal ideation or suicidal behavior assessed by the Columbia Suicide Severity Rating Scale (C-SSRS)
Time frame: Baseline to Week 8
The Snaith-Hamilton Pleasure Scale (SHAPS) is a self-reported scale assessing anhedonia. The total score ranges from 0 to 14, with higher scores indicating greater anhedonia severity (worse outcome). Change in SHAPS score from baseline to Week 8 will be assessed.
Time frame: Baseline to Week 8
The Sheehan Disability Scale (SDS) is a self-reported scale assessing functional impairment in work/school, social life, and family life. The total score ranges from 0 to 30, with higher scores indicating greater functional impairment (worse outcome). Change in SDS score from baseline to Week 8 will be assessed.
Time frame: Baseline to 1 year
Depressive relapse during 1-year follow-up will be assessed according to DSM-5 criteria and clinically relevant clinical events. The number and percentage of participants experiencing relapse will be reported.
Time frame: Baseline, Week 2, Week 4, Week 8, Month 3, Month 6, and Year 1
The Montgomery-Åsberg Depression Rating Scale (MADRS) assesses depressive symptom severity. Total scores range from 0 to 60, with higher scores indicating greater depressive symptom severity (worse outcome). Longitudinal changes in MADRS scores from baseline will be assessed at predefined assessment time points (Baseline, Week 2, Week 4, Week 8, Month 3, Month 6, and Year 1) to characterize trajectories of depressive symptom change over the 1-year follow-up period.
Time frame: Baseline, Week 8, Month 6, and Year 1
The Sheehan Disability Scale (SDS) assesses functional impairment in work/school, social life, and family life. The total score ranges from 0 to 30, with higher scores indicating greater functional impairment (worse outcome). Changes in SDS scores from baseline will be assessed at Week 8, Month 6, and Year 1 to characterize trajectories of functional recovery over the 1-year follow-up period.
Time frame: Baseline
A multivariable model integrating clinical characteristics and multi-omics data, including immune profiling (CyTOF and cytokine profiling), genomics, epigenomics, bulk transcriptomics, single-cell transcriptomics, proteomics, metabolomics, and microbiome profiling, will be developed to discriminate participants with major depressive disorder from healthy controls. Model discrimination performance will be primarily assessed by the area under the receiver operating characteristic curve (AUROC). Sensitivity, specificity, and predictive accuracy will be reported as supportive metrics.
Time frame: Baseline to Week 8 (baseline predictors and Week 8 treatment response assessment)
A multivariable model integrating baseline clinical characteristics and multi-omics data, including immune profiling (CyTOF and cytokine profiling), genomics, epigenomics, bulk transcriptomics, single-cell transcriptomics, proteomics, metabolomics, and microbiome profiling, will be developed to predict antidepressant treatment response at Week 8. Treatment response will be defined as a ≥50% reduction from baseline in Montgomery-Åsberg Depression Rating Scale (MADRS) total score at Week 8. Model predictive performance will be primarily assessed by the area under the receiver operating characteristic curve (AUROC), with internal validation performed using bootstrap resampling. Calibration, sensitivity, specificity, and predictive accuracy will be reported as supportive metrics.
Time frame: Baseline to Week 8
A longitudinal multivariable model integrating baseline clinical characteristics, baseline multi-omics profiles, and multi-omics changes from baseline to Week 4 will be developed to predict MADRS-defined antidepressant treatment response at Week 8. Treatment response will be defined as a ≥50% reduction from baseline in Montgomery-Åsberg Depression Rating Scale (MADRS) total score at Week 8. Multi-omics data will include immune profiling (CyTOF and cytokine profiling), genomics, epigenomics, bulk transcriptomics, single-cell transcriptomics, proteomics, metabolomics, and microbiome profiling. Model predictive performance will be primarily assessed by the area under the receiver operating characteristic curve (AUROC), with internal validation performed using bootstrap resampling. Calibration, sensitivity, specificity, and predictive accuracy will be reported as supportive metrics.
Time frame: Baseline to Week 8
Longitudinal changes in multi-omics profiles from baseline to Week 8 will be analyzed to identify molecular features significantly altered following antidepressant treatment. Multi-omics analyses will include immune profiling (CyTOF and cytokine profiling), genomics, epigenomics, bulk transcriptomics, single-cell transcriptomics, proteomics, metabolomics, and microbiome profiling. Statistically significant features will be identified based on predefined statistical thresholds, and the number of significantly altered features will be reported.
Time frame: Baseline to Year 1
A multivariable model integrating baseline clinical characteristics and multi-omics data will be developed to predict the Sheehan Disability Scale (SDS) total score at 1-year follow-up. The SDS is a self-reported scale assessing functional impairment. The SDS total score ranges from 0 to 30, with higher scores indicating greater functional impairment (worse outcome). Model predictive performance will be assessed using predefined regression metrics, including coefficient of determination (R²), root mean square error (RMSE), and mean absolute error (MAE). Internal validation will be performed using bootstrap resampling.
Contact information is provided by the study sponsor or research team.
Shanghai Mental Health Center
Other
iMORE+ Study: An Enhanced Prospective Observational Cohort Study of Major Depressive Disorder Integrating Longitudinal Clinical Characterization and Multi-Omics Profiling
Acronym: iMORE+
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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