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Transcranial Magnetic Stimulation (TMS) therapy is an approved and effective treatment option for treatment-resistant depression (TRD). This study aims to identify biomarkers that predict TMS treatment response in TRD, provide insights into the neurobiological mechanisms underlying TMS efficacy, and contribute to personalized treatment strategies. By establishing proteomic and metabolomic signatures, this research seeks to enhance clinical decision-making, reduce healthcare costs, and improve patient outcomes in TRD. The findings will align with the precision medicine movement in psychiatry, advancing biomarker-driven therapeutic approaches for treatment-resistant depression.
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This prospective cohort study aims to investigate the relationship between plasma proteomic and metabolomic profiles and the treatment response to transcranial magnetic stimulation (TMS) in patients with treatment-resistant depression (TRD). TRD is defined as a subtype of major depressive disorder (MDD), characterized by an inadequate response to at least two adequate trials of antidepressant therapy. Despite the clinical efficacy of TMS as a non-invasive neuromodulation treatment, the biological underpinnings that determine patient responsiveness remain unclear. This study addresses that gap by evaluating blood-based molecular biomarkers that may predict or reflect TMS treatment outcomes.
A total of 55 TRD patients, diagnosed according to DSM-5-TR criteria and confirmed through the SCID-5 structured clinical interview, will be enrolled. An additional 55 healthy individuals matched for age and sex will serve as a control group for baseline plasma comparisons. Patients will undergo a standardized TMS protocol using the MagVenture™ X100™ device. The protocol includes 20 treatment sessions over four weeks, with each session delivering 1,800 pulses of intermittent theta burst stimulation (iTBS) targeting the left dorsolateral prefrontal cortex (DLPFC). Motor threshold will be assessed weekly to calibrate treatment intensity to 90% of the resting motor threshold.
Blood samples will be collected from TRD patients prior to the first TMS session and after the 20th session, while healthy controls will provide samples at a single time point. Proteomic analysis will be conducted using LC-MS/MS following protein extraction, digestion, and purification. Metabolomic profiling will be carried out using LC-MS coupled with ion mobility spectrometry, enabling the identification of a wide range of plasma metabolites.
Psychiatric assessments, including the Hamilton Depression Rating Scale (HAM-D), Patient Health Questionnaire-9 (PHQ-9), Pittsburgh Sleep Quality Index (PSQI), and the Clinical Global Impression (CGI) scale, will be administered at baseline and post-treatment to monitor clinical outcomes. Data integration and bioinformatics analyses will be performed using MaxQuant, Perseus, and MetaboAnalyst 6.0, enabling the identification of differentially expressed proteins and metabolites associated with treatment response.
The primary objective of the study is to determine whether plasma proteomic and metabolomic profiles differ significantly between TMS responders and non-responders. Secondary objectives include identifying predictive biomarkers for TMS efficacy and assessing biological changes correlated with clinical improvement.
Primary outcomes will focus on identifying molecular signatures that correlate with treatment responsiveness. Secondary outcomes will include changes in depression severity scores, documentation of any adverse effects related to TMS, and examination of correlations between biomarker expression and pharmacological history.
This study is crucial for advancing personalized treatment approaches in psychiatry. By identifying objective, blood-based biomarkers of TMS response, it may become possible to tailor treatment strategies, reduce unnecessary interventions, and improve therapeutic outcomes for individuals suffering from TRD.
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55 participants in 1 patient group
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BEYAZIT GARİP, Medical Doctor
Data sourced from clinicaltrials.gov
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