Publications by authors named "Zhilu Chen"

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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This study discussed the role of plant-associated microbiome in regulating ARG transfer in soil-plant systems. Results showed that target ARGs in plants were mainly derived from rhizosphere soil. Cooperative interactions among bacteria in rhizosphere soil, plant-roots, plant-shoots, and soil-roots-shoots systems occurred during ARG transfer.

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Background: In this study, we combined two techniques, ultrasound-guided needle biopsy and flow cytometry (FCM), to explore their value in patients with enlarged lymph nodes.

Methods: We compared the results of 198 needle biopsies on FCM and pathology. Forty-two were done by (fine needle aspiration, FNA), and the remaining 156 with (core needle biopsy, CNB), in 36 of 156 patients, a FNA was performed in the same lymph node after completion of the CNB.

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Objective: Bipolar disorder (BD) is often misdiagnosed as major depressive disorder (MDD) in the early stage, which may lead to inappropriate treatment. This study aimed to characterize the alterations of spontaneous neuronal activity in patients with depressive episodes whose diagnosis transferred from MDD to BD.

Methods: 532 patients with MDD and 132 healthy controls (HCs) were recruited over 10 years.

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Although CD19-specific chimeric antigen receptor (CAR) T cells are curative for patients with relapsed or refractory large B-cell lymphoma (R/R LBCL), disease relapse with tumor antigen-positive remains a challenge. Cytokine/chemokine-expressing CAR-T cells could overcome a suppressive milieu, but the clinical safety and efficacy of this CAR-T therapy remain unclear. Here we report the preclinical development of CD19-specific CAR-T cells capable of expressing interleukin (IL)-7 and chemokine (C-C motif) ligand (CCL)-19 upon CD19 engagement (referred to as 7 × 19 CAR-T cells) and results from a phase 1 and expansion phase trial of 7 × 19 CAR-T cell therapy in patients with R/R LBCL (NCT03258047).

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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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Background: Major depressive disorder (MDD), a common mental disorder worldwide, frequently coexists with various physical illnesses, and recent studies have shown an increased prevalence of subclinical hypothyroidism (SHypo) among MDD patients. However, the neural mechanisms shared and unique to these disorders and the associated alterations in brain function remain largely unknown. This study investigated the potential brain function mechanisms underlying comorbid MDD and SHypo.

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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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Introduction: To explore the association between regional gray matter volume (GMV) and cognitive impairments and ascertain whether the regional brain alterations related to cognitive impairments occur in major depressive disorder (MDD) patients with comorbid subclinical hypothyroidism (SHypo).

Methods: We enrolled 32 MDD patients, 32 MDD patients with comorbid SHypo, and 32 normal controls and subjected them to thyroid function tests, neurocognitive tests, and magnetic resonance imaging (MRI). Using voxel-based morphometry (VBM) analysis, we examined the pattern of gray matter (GM) in these participants.

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Influenza A virus (IAV), responsible for seasonal epidemics and recurring pandemics, represents a global threat to public health. Given the risk of a potential IAV pandemic, it is increasingly important to better understand virus-host interactions and develop new anti-viral strategies. Here, we reported nonmuscle myosin IIA (MYH9)-mediated regulation of IAV infection.

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Background: Recently, Zika virus (ZIKV) re-emerged in India and was potentially associated with microcephaly. However, the molecular mechanisms underlying ZIKV pathogenesis remain to be explored.

Results: Herein, we performed a comprehensive RNA-sequencing analysis on ZIKV-infected JEG-3, U-251 MG, and HK-2 cells versus corresponding uninfected controls.

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Background: Unipolar depression (UD) and bipolar depression (BD) showed convergent and divergent cognitive impairments. Neural oscillations are linked to the foundational cognitive processes. We aimed to investigate the underpinning spectral neuronal power patterns by magnetoencephalography (MEG), which combinates high spatial and temporal resolution.

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The innate interferon (IFN) response constitutes the first line of host defense against viral infections. It has been shown that IFN-I/III treatment could effectively contain severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) replication . However, how SARS-CoV-2 survives through the innate antiviral mechanism remains to be explored.

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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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The present study was aimed to investigate the relationships between serum thyroid hormones (THs), frontal gray matter volume, and executive function in selected patients with major depressive disorder (MDD). One hundred and four MDD patients and seventy-five healthy controls (HCs) were subjected to thyroid-stimulating hormone (TSH), free Triiodothyronine (fT3), free Thyroxine (fT4), and executive function tests and underwent structural magnetic resonance imaging (MRI). Voxel-based morphometry (VBM) analysis was performed to compare group differences in the gray matter for the frontal lobe.

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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease 2019 (COVID-19), binds to host receptor angiotensin-converting enzyme 2 (ACE2) through its spike (S) glycoprotein, which mediates membrane fusion and viral entry. However, the expression of ACE2 is extremely low in a variety of human tissues, especially in the airways. Thus, other coreceptors and/or cofactors on the surface of host cells may contribute to SARS-CoV-2 infection.

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Background: Combining genetic variants with neuroimaging phenotypes may facilitate understanding of the biological mechanisms for the etiology and pharmacology of antidepressant treatment of major depressive disorder (MDD).

Purpose: To explore the latent pathway of dopamine gene-hierarchical brain network-antidepressant treatment.

Study Type: Retrospective.

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Background: Major depressive disorder (MDD) is often accompanied with classic diurnal mood variation (DMV) symptoms. Patients with DMV symptoms feel a mood improvement and prefer activities at dusk or in the evening, which is consistent with the evening chronotype. Their neural alterations are unclear.

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The pathological mechanisms of major depressive disorders (MDDs) is associated with the overexpression of negative emotions, and the fast transient-activated patterns underlying overrepresentation in depression still remain to be revealed to date. We hypothesized that the aberrant spatiotemporal attributes of the process of sad expressions are related to the neuropathology of MDD and help to detect the depression severity. We enrolled a total of 96 subjects including 47 patients with MDD and 49 healthy controls (HCs), and recorded their magnetoencephalography data under a sad expression recognition task.

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Synopsis of recent research by authors named "Zhilu Chen"

  • - Zhilu Chen's recent research primarily focuses on the neurological aspects of mood disorders, especially depression and bipolar disorder, utilizing advanced imaging techniques like magnetoencephalography (MEG) to explore neural correlates of clinical symptoms and treatment response.
  • - Studies indicate significant correlations between specific neural activity patterns and depressive symptoms, including abnormal beta bursts in the orbitofrontal cortex and altered resting-state oscillations, which may help improve diagnostic accuracy and early treatment predictions.
  • - Additionally, Chen's work extends beyond mood disorders to investigate the interplay between plant-associated bacteria and antibiotic resistance genes, suggesting a complex relationship between soil health, plant microbiomes, and environmental antibiotic resistance.