Publications by authors named "Zipeng Deng"
Correlation between polygenic risk scores of depression and cortical morphology networks.
J Psychiatry Neurosci
January 2025
Background: Cortical morphometry is an intermediate phenotype that is closely related to the genetics and onset of major depressive disorder (MDD), and cortical morphometric networks are considered more relevant to disease mechanisms than brain regions. We sought to investigate changes in cortical morphometric networks in MDD and their relationship with genetic risk in healthy controls.
Methods: We recruited healthy controls and patients with MDD of Han Chinese descent.
Given recent technological advances in proteomics, it is now possible to quantify plasma proteomes in large cohorts of patients to screen for biomarkers and to guide the early diagnosis and treatment of depression. Here we used CatBoost machine learning to model and discover biomarkers of depression in UK Biobank data sets (depression = 4,479, healthy control = 19,821). CatBoost was employed for model construction, with Shapley Additive Explanations (SHAP) being utilized to interpret the resulting model.
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- Anhedonia, a key symptom of depression, lacks effective treatments, highlighting the need for a better understanding of its underlying mechanisms.
- A study involving 303 depressed patients identified differences in brain structure and function based on anhedonia levels, using techniques like MRI and the Snaith-Hamilton Pleasure Scale.
- Specific brain regions correlated with anhedonia levels may serve as biomarkers, aiding in more precise and effective treatments for patients who resist standard therapies.
Article Synopsis
- Metabolomics studies on depression have been limited in scale, but analyzing global metabolite levels in large groups could reveal insights into how depression works and lead to identifying clinical biomarkers.
- The study used data from the UK Biobank, analyzing participants with lifetime and current depression, and employed machine learning techniques to identify 24 significant metabolic biomarkers associated with depression.
- The inclusion of these metabolic features slightly enhanced the diagnostic model's performance, suggesting that, once validated, these biomarkers could assist in early detection and management of depression in populations.
Anxious depression is a common subtype of major depressive disorder (MDD) associated with adverse outcomes and severely impaired social function. It is important to clarify the underlying neurobiology of anxious depression to refine the diagnosis and stratify patients for therapy. Here we explored associations between anxiety and brain structure/function in MDD patients.
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