Diagnostic test (LDT)
OtherProteomic assay
NCT Number: NCT02746367
The purpose of this study is to validate a set of signatures, based on a panel of proteomic markers, that discriminate BDI, BDII, and MDD in people seeking treatment for a depressive episode.
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Notify Me18 year–70 year
All sexes
Observational
University of Iowa Health Care, Department of Psychiatry, Iowa City, Iowa, United States
This is a hypothesis-driven confirmatory study to validate the diagnostic signature (model) for distinguishing BDI from MDD that also aims to optimize the models to discriminate BDII from MDD and BDI. A binary classification model, using linear discriminant analysis and based on 13 a priori-defined proteomic markers will aim to distinguish BDI from MDD. An alternative binary classification model based on multiple logistic regression and using 10 a priori -defined proteomic markers will aim for the same result. To improve the predictive performance of the signatures, items from self-report mood rating scales and treatment-emergent changes in proteomic markers will be analyzed. In addition, the study will examine if baseline or early treatment-emergent changes in proteomic markers predict treatment response.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Proteomic assay
Time frame: Baseline
Linear discriminant analysis and multiple logistic regression will be used to create three diagnostic models for the proteomic markers (BDI vs MDD, BDI vs BDII and BDII vs MDD). The patient's model diagnosis will be compared to the patient's clinical diagnoses (based on SCID DSM -5) and the proportion of concordant classifications will be calculated.
Time frame: Baseline, Week 2 and Week 8
Additional clinical characterization of the patient and their depressive episode will be obtained through analysis of the self-report clinical rating scales and used to optimize the predictive performance of the proteomic signatures.
Time frame: Week 2 and Week 8
Proteomic markers will be analyzed at weeks 2 and 8 to observe for any treatment-emergent changes to increase the predictive validity of the proteomic signatures.
Time frame: Baseline, Week 8
Distinguish responders from non-responders by measuring MADRS and determine if baseline or treatment-emergent changes in proteomic markers predict treatment response.
Time frame: Baseline, Week 8
Distinguish remitters from non-remitters by measuring MADRS and determine if baseline or treatment-emergent changes in proteomic markers predict treatment response.
Time frame: Baseline, Week 2, Week 4, Week 6
Compare incidence of antidepressant-induced hypo/manic episodes (defined as YMRS score > 12) to changes in proteomic markers to predict treatment response.
Myriad Genetic Laboratories, Inc.
Industry
A Validation Study to Measure the Impact of a Proteomic Assay in Distinguishing Bipolar I Disorder, Bipolar II Disorder, and Major Depressive Disorder in People Presenting With a Major Depressive Episode
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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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