Publications by authors named "Liu Zhongchun"

Background: Intermediate phenotypes, such as characteristic neuroimaging patterns, offer unique insights into the genetic and stress-related underpinnings of neuropsychiatric disorders like depression. This study aimed to identify neuroimaging intermediate phenotypes associated with depression, bridging etiological factors to behavioral manifestations and connecting insights from animal models to diverse clinical populations.

Methods: We analyzed datasets from both rodents and humans.

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Genome-wide association studies (GWASs) have reported multiple risk loci for schizophrenia (SCZ). However, the majority of the associations were from populations of European ancestry. Here we conducted a large-scale GWAS in Eastern Asian populations (29,519 cases and 44,392 controls) and identified ten Eastern Asian-specific risk loci, two of which have not been previously reported.

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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.

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Objective: This study aimed to investigate the independent or synergistic effects of evening chronotype and poor sleep quality on cognitive impairment in patients with major depressive disorder (MDD).

Methods: A cross-sectional study was conducted on 249 individuals diagnosed with MDD, recruited from the Mental Health Center of Renmin Hospital of Wuhan University. Chronotype preference was assessed using the reduced Horne and Ostberg Morningness - Eveningness Questionnaire (rMEQ), while sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI).

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Background: Early identification of individuals at high risk for depression is essential for effective implementation of interventions. This study utilized the UK Biobank database to construct an individual depression risk score using nomogram and explored the potential of traditional risk factors and routine biochemical markers for the auxiliary diagnosis of individual depression.

Methods: A total of 369,407 participants were included in the study and divided into training and testing sets.

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Objective: To investigate the prevalence and risk factors of psychological symptoms and quality of life (QoL) in early patients with inflammatory bowel disease (IBD).

Methods: From September 2021 to May 2022, a unified questionnaire was developed to collect clinical data from early patients with IBD from 42 tertiary care hospitals. The influencing factors of psychological symptoms and poor QoL are screened by logistic regression analysis for constructing model in predicting poor QoL.

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Article Synopsis
  • * Recent research from 2013 to 2023 examined changes in brain activity and connectivity in ED patients using resting-state functional magnetic resonance imaging (rs-fMRI), identifying alterations in key brain networks related to cognition and emotion regulation.
  • * The study found that individuals with AN have reduced connectivity in social cognition areas, while those with BED exhibit different connectivity patterns, suggesting that rs-fMRI could be a useful tool for understanding brain function in EDs and guiding personalized treatments.
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Background: Vascular endothelial growth factor (VEGF) is a candidate mediator of blood-brain barrier (BBB) disruption in depression. However, previous studies have mainly focused on peripheral blood VEGF levels, and the results are heterogeneous. Here we use astrocyte-derived extracellular vesicles (ADEVs) isolated from plasma to explore the in vivo changes of VEGF levels in patients with major depressive disorder (MDD).

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Article Synopsis
  • The study explores the neuroplasticity hypothesis in depression by measuring BDNF levels in astrocyte-derived extracellular vesicles from patients with major depressive disorder (MDD) and healthy controls.
  • Results show that MDD patients have higher levels of CD81 and lower levels of BDNF in their ADEVs compared to controls, with improvements noted after SSRIs treatment.
  • The findings suggest that ADEVs might be more reliable biomarkers for depression than conventional plasma markers, highlighting their potential in understanding and diagnosing the condition.
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Background: Neuromelanin is mostly located in dopaminergic neurons in the substantia nigra (SN) pars compacta, and can be detected by magnetic resonance imaging (MRI). It is a promising imaging-base biomarker for neurological diseases. We previously developed a melanin-specific probe N-(2-(diethylamino)-ethyl)-F-5-fluoropicolinamide (F-P3BZA), which was initially developed for the imaging of melanoma.

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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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Article Synopsis
  • The study aimed to create a machine learning tool to identify IBD patients at a higher risk of impaired quality of life (QOL), enabling earlier intervention and better long-term outcomes.* -
  • Researchers collected data from 2478 IBD patients through an online questionnaire across multiple hospitals in China and developed eight machine learning models to predict QOL impairments.* -
  • The support vector machine (SVM) model was found to be the most effective, highlighting key risk factors such as glucocorticoid use and anxiety, which are linked to poorer QOL.*
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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.
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Purpose: Executive function (EF) impairment and vitamin D deficiency are common clinical features among children with epilepsy (CWE). Recently, vitamin D has become a potential modification factor that affects cognitive status in individuals with neurological disorders. In this study, we investigated the association between EF status and vitamin D levels in patients with CWE.

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Depression is considered a crucial psychiatric disease correlated with neuronal-dysfunctions induced by stress-stimuli. This study aimed to investigate effect of Fluoxetine (FL) on chronic unpredictable mild stress (CUMS) and explore the associated mechanisms. CUMS rat model was established by treating with lots of stresses.

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Article Synopsis
  • The study explores how the CYP2D6 enzyme affects the metabolism of paroxetine, an antidepressant, to improve precision dosing in treatment, particularly among Chinese Han patients with depressive or anxiety disorders.
  • Conducted over 8 weeks with 921 patients, it categorizes participants based on their CYP2D6 metabolizer status and evaluates treatment outcomes, showing significant differences in drug concentration and efficacy across various metabolizer types.
  • The research highlights the need for tailored dosing strategies based on metabolic phenotypes, with specific recommendations for dosage adjustments in both East Asian and non-East Asian populations, factoring in sex and ethnicity as important variables.
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The involvement of lipids in the mechanism of depression has triggered extensive discussions. Earlier studies have identified diminished levels of lysophosphatidic acid (LPA) and autotaxin (ATX) in individuals experiencing depression. However, the exact significance of this phenomenon in relation to depression remains inconclusive.

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Objective: To explore the impact of common gastrointestinal (GI) symptoms on psychological symptoms, sleep quality, and quality of life in patients with inflammatory bowel disease (IBD).

Methods: A unified questionnaire was developed to collect clinical data on the mental psychology and quality of life of IBD patients from 42 hospitals in 22 provinces in P. R.

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Gestational stress can exacerbate postpartum depression (PPD), for which treatment options remain limited. Environmental enrichment (EE) may be a therapeutic intervention for neuropsychiatric disorders, including depression, but the specific mechanisms by which EE might impact PPD remain unknown. Here we examined the behavioral, molecular, and cellular impact of EE in a stable PPD model in rats developed through maternal separation (MS).

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Aims: To investigate the antidepressant role of oligodendrocyte-derived exosomes (ODEXs)-containing sirtuin 2 (SIRT2) and the underlying mechanism both in vivo and in vitro.

Methods: Oligodendrocyte-derived exosomes isolated from mouse serum were administered to mice with chronic unpredictable mild stress (CUMS)-induced depression via the tail vein. The antidepressant effects of ODEXs were assessed through behavioral tests and quantification of alterations in hippocampal neuroplasticity.

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Arterial spin labeling (ASL) can be used to detect differences in perfusion for multiple brain regions thought to be important in major depressive disorder (MDD). However, the potential of cerebral blood flow (CBF) to predict MDD and its correlations between the blood lipid levels and immune markers, which are closely related to MDD and brain function change, remain unclear. The 451 individuals - 298 with MDD and 133 healthy controls who underwent MRI at a single time point with arterial spin labelling and a high resolution T1-weighted structural scan.

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The anterior cingulate cortex (ACC) is a heterogeneous region of the brain's limbic system that regulates cognitive and emotional processing, and is frequently implicated in schizophrenia. This study aims to characterize resting-state functional connectivity (rsFC) profiles of three subregions of ACC in patients with first-episode schizophrenia and healthy controls. Resting-state functional magnetic resonance imaging (rs-fMRI) scans were collected from 60 first-episode schizophrenia (FES) patients and 60 healthy controls (HC), and the subgenual ACC (sgACC), pregenual ACC (pgACC), and dorsal ACC (dACC) were selected as seed regions from the newest automated anatomical labeling atlas 3 (AAL3).

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