Publications by authors named "ZhongPeng Dai"

Recent advances in single-cell proteomics enable the direct profiling of thousands of proteins from a single mammalian cell. However, due to the bottlenecks in detecting low-abundance secreted proteins and extracellular vesicle (EV) proteins (collectively referred to as the secretome) against a background of high-abundance proteins in serum-containing culture medium, the comprehensive investigation of the secretome at the single-cell level using nanoLC-MS/MS still remains challenging. Herein, we report a novel single-cell secretome profiling (SCSP) method by integrating the metabolic labeling of newly synthesized proteins, click chemistry-based enrichment, and in situ digestion of the labeled secretome in an alkyne-functionalized capillary micro-reactor, followed by nanoLC-MS/MS analysis.

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Background: Recent researches have reported that frequency-specific patterns of neural activity contain not only rhythmically sustained oscillations but also transient-bursts of isolated events. The aim of this study was to investigated the correlation between beta burst and depression in order to explore depressive disease and the neurological underpinnings of disease-related symptoms.

Methods: We collected resting-state MEG recordings from 30 depressive patients and a matched 40 healthy controls.

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Article Synopsis
  • Rumination is a common issue in bipolar disorder (BD), particularly in patients with bipolar I disorder (BD-I), and neuroimaging studies have started to connect this behavior with activity in the default mode network (DMN).
  • A study involving 44 BD-I patients and 46 healthy controls used magnetoencephalography to analyze key areas of the DMN and found that BD-I patients exhibited higher levels of rumination, characterized by brooding and reflection.
  • The research revealed a significant increase in alpha frequency functional connectivity among specific DMN subsystems in BD-I patients, linking greater connectivity to different types of rumination, which could inform future treatment strategies.
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Objective: To identify the spatial-temporal pattern variation of whole-brain functional connectivity (FC) during reward processing in melancholic major depressive disorder (MDD) patients, and to determine the clinical correlates of connectomic differences.

Methods: 61 MDD patients and 32 healthy controls were enrolled into the study. During magnetoencephalography (MEG) scanning, all participants completed the facial emotion recognition task.

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Background: Psychomotor retardation (PMR) is a core feature of major depressive disorder (MDD), which is characterized by abnormalities in motor control and cognitive processes. PMR in MDD can predict a poor antidepressant response, suggesting that PMR may serve as a marker of the antidepressant response. However, the neuropathological relationship between treatment outcomes and PMR remains uncertain.

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Objective: Emerging studies have identified treatment-related connectome predictors in major depressive disorder (MDD). However, quantifying treatment-responsive patterns in structural connectivity (SC) and functional connectivity (FC) simultaneously remains underexplored. We aimed to evaluate whether spatial distributions of FC and SC associated treatment responses are shared or unique.

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Background: Response inhibition is a key neurocognitive factor contributing to impulsivity in mood disorders. Here, we explored the common and differential alterations of neural circuits associated with response inhibition in bipolar disorder (BD) and unipolar disorder (UD) and whether the oscillatory signatures can be used as early biomarkers in BD.

Methods: 39 patients with BD, 36 patients with UD, 29 patients initially diagnosed with UD who later underwent diagnostic conversion to BD, and 36 healthy controls performed a Go/No-Go task during MEG scanning.

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Background: Response inhibition is a core cognitive impairment in bipolar disorder (BD), leading to increased impulsivity in BD. However, the relationship between the neural mechanisms underlying impaired response inhibition and impulsivity in BD is not yet clear. Individuals who are genetically predisposed to BD give a way of identifying potential endophenotypes.

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Unlabelled: The diagnosis of bipolar disorders (BD) mainly depends on the clinical history and behavior observation, while only using clinical tools often limits the diagnosis accuracy. The study aimed to create a novel BD diagnosis framework using multilayer modularity in the dynamic minimum spanning tree (MST). We collected 45 un-medicated BD patients and 47 healthy controls (HC).

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Article Synopsis
  • Scientists used a special brain scan called MEG to study depression in 66 patients and compare them to 48 healthy people.
  • They wanted to see if brain signals could help predict how well patients would respond to depression treatment after two weeks.
  • They found that the brain activity of patients with depression was different from those without it, and certain brain connections could indicate who would improve with medication.
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  • Brain neurons are crucial for arousal and cognitive function, but the relationship between brain and heart activity, especially in major depressive disorder (MDD), is not well understood.
  • This study analyzed data from 90 MDD patients and 44 healthy controls using electroencephalogram (EEG) and electrocardiogram (ECG) to investigate synchronization between brain activity and heart rhythms at rest.
  • Results indicated that while healthy individuals show better synchronization, MDD patients experience disruptions in this interaction, which may be linked to their level of despair and shows improvement with antidepressant treatment.
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Background: The mood-concordance bias is a key feature of major depressive disorder (MDD), but the spatiotemporal neural activity associated with emotional processing in MDD remains unclear. Understanding the dysregulated connectivity patterns during emotional processing and their relationship with clinical symptoms could provide insights into MDD neuropathology.

Methods: We enrolled 108 MDD patients and 64 healthy controls (HCs) who performed an emotion recognition task during magnetoencephalography recording.

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Article Synopsis
  • Psychomotor alterations are common in major depressive disorder (MDD), and the study focuses on the abnormal post-movement beta rebound (PMBR) in the primary motor cortex (M1) of MDD patients.
  • The study involved 132 participants, including healthy controls and MDD patients, analyzing PMBR during a visuomotor task and measuring psychomotor functions through neurocognitive tests.
  • Results indicated that MDD patients had worse cognitive performance and diminished PMBR compared to healthy controls, with specific correlations showing that lower PMBR was linked to poorer psychomotor and cognitive function in MDD.
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Introduction: The psychomotor disturbance is a common symptom in patients with major depressive disorder (MDD). The neurological mechanisms of psychomotor disturbance are intricate, involving alterations in the structure and function of motor-related regions. However, the relationship among changes in the spontaneous activity, motor-related activity, local cortical thickness, and psychomotor function remains unclear.

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Objective: Because of the similar clinical symptoms, it is difficult to distinguish unipolar disorder (UD) from bipolar disorder (BD) in the depressive episode using the available clinical features, especially for those who meet the diagnostic criteria of UD, however, experience the manic episode during the follow-up (tBD).

Methods: Magnetoencephalography recordings during a sad expression recognition task were obtained from 81 patients (27 BD, 24 tBD, 30 UD) and 26 healthy controls (HCs). Source analysis was applied to localize 64 regions of interest in the low gamma band (30-50 Hz).

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Article Synopsis
  • - Previous research indicates that impaired interoception, or the ability to sense internal bodily signals, is linked to emotional processing issues in major depressive disorder (MDD), particularly relating to negative emotional bias.
  • - An EEG study involving 27 MDD patients and 27 healthy controls examined how interoception impacts emotional bias by analyzing heartbeat-evoked potential (HEP) amplitudes and late positive potential (LPP) responses to emotional faces.
  • - Results showed that MDD patients performed poorly on heartbeat tasks and exhibited different LPP amplitudes compared to healthy controls, suggesting that interoceptive dysfunction, influenced by brain areas like the anterior cingulate cortex and insula, contributes to their negative emotional bias.
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Cell surface-exposed proteins (CSPs), termed the surfaceome, play a key role in many cellular processes. In-depth CSP analysis is significant for screening candidate biomarkers and drug targets. Highly selective enrichment of CSPs in physiological cellular environments is attractive but remains technically challenging.

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Aims: The diversity of treatment outcomes for major depressive disorder (MDD) remains uncertain in neuropathology. The current study aimed at exploring electrophysiological biomarkers associated with treatment response.

Methods: The present study recruited 130 subjects including 100 MDD patients and 30 healthy controls.

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Background: Depressive symptoms could be similarly expressed in bipolar and unipolar disorder. However, changes in cognition and brain networks might be quite distinct. We aimed to find out the difference in the neural mechanism of impaired working memory in patients with bipolar and unipolar disorder.

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