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"Su, Yun"
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Progress and challenges in research of the mechanisms of anhedonia in major depressive disorder
There is an increasing heavy disease burden of major depressive disorder (MDD) globally. Both high diagnostic heterogeneity and complicated pathological mechanisms of MDD pose significant challenges. There is much evidence to support anhedonia as a core feature of MDD. In the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, anhedonia is further emphasised as a key item in the diagnosis of major depression with melancholic features. Anhedonia is a multifaceted symptom that includes deficits in various aspects of reward processing, such as anticipatory anhedonia, consummatory anhedonia, and decision-making anhedonia. Anhedonia is expected to become an important clinicopathological sign for predicting the treatment outcome of MDD and assisting clinical decision making. However, the precise neurobiological mechanisms of anhedonia in MDD are not clearly understood. In this paper, we reviewed (1) the current understanding of the link between anhedonia and MDD; (2) the biological basis of the pathological mechanism of anhedonia in MDD; and (3) challenges in research on the pathological mechanisms of anhedonia in MDD. A more in-depth understanding of anhedonia associated with MDD will improve the diagnosis, prediction, and treatment of patients with MDD in the future.
Journal Article
New development in robot vision
\"The field of robotic vision has advanced dramatically recently with the development of new range sensors. Tremendous progress has been made resulting in significant impact on areas such as robotic navigation, scene/environment understanding, and visual learning. This edited book provides a solid and diversified reference source for some of the most recent important advancements in the field of robotic vision. The book starts with articles that describe new techniques to understand scenes from 2D/3D data such as estimation of planar structures, recognition of multiple objects in the scene using different kinds of features as well as their spatial and semantic relationships, generation of 3D object models, approach to recognize partially occluded objects, etc. Novel techniques are introduced to improve 3D perception accuracy with other sensors such as a gyroscope, positioning accuracy with a visual servoing based alignment strategy for microassembly, and increasing object recognition reliability using related manipulation motion models. For autonomous robot navigation, different vision-based localization and tracking strategies and algorithms are discussed. New approaches using probabilistic analysis for robot navigation, online learning of vision-based robot control, and 3D motion estimation via intensity differences from a monocular camera are described. This collection will be beneficial to graduate students, researchers, and professionals working in the area of robotic vision.\"--back cover.
Book
Anticancer effects of epigallocatechin-3-gallate nanoemulsion on lung cancer cells through the activation of AMP-activated protein kinase signaling pathway
Epigallocatechin-3-gallate (EGCG), a green tea–derived polyphenol, exhibits antitumor activities. An EGCG nanoemulsion (nano-EGCG) was prepared to improve the stability and reduce the side effects of EGCG for treatment of human lung cancer cells, and the antitumor effects were studied. The possible molecular mechanism underlying its antitumor effects on cultured human lung cancer cells was also elucidated. The antitumor effects of EGCG and nano-EGCG were determined using methylthiazolyldiphenyl-tetrazolium bromide (MTT), colony formation, migration, and invasion assays. In addition, changes in the AMP-activated protein kinase (AMPK) signaling pathway were investigated using Western blot analyses. AMPK inhibitors were used to determine the roles of the AMPK signaling pathway involved in the molecular mechanism of the nano-EGCG. Our results showed that both EGCG and nano-EGCG inhibited the growth of H1299 lung cancer cells, with half-maximal inhibitory concentrations of 36.03 and 4.71 μM, respectively. Additionally, nano-EGCG effectively suppressed lung cancer cell colony formation, migration, and invasion in a dose-dependent manner. Nano-EGCG may inhibit lung cancer cell invasion through matrix metalloproteinase (MMP)-2- and MMP-9-independent mechanisms. Furthermore, the expression of several key regulatory proteins in the AMPK signaling pathway was modulated by nano-EGCG. Nano-EGCG may inhibit lung cancer cell proliferation, colony formation, migration, and invasion through the activation of AMPK signaling pathways. This novel mechanism of nano-EGCG suggests its application in lung cancer prevention and treatment. Our results provide an experimental foundation for further research on its potential activities and effects
in vivo
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Journal Article
Study of the risk assessment of nursing occupational exposure to major public health emergencies based on the Likelihood Exposure Consequence method
Objectives: To develop an occupational exposure risk assessment scale for nursing staff during major public health emergencies based on the Likelihood Exposure Consequence (LEC) method. The purpose was to provide managers with a reliable tool for assessing occupational exposure risk faced by nursing staff and to serve as a reference for the formulation of occupational protection standards.Methods: The item pool of nursing occupational exposure risk factors was screened using the LEC and accident causation theory. This was achieved through a comprehensive literature review, semistructured interviews, and group discussions. The nursing occupational exposure risk assessment scale was developed in conjunction with the Delphi method. The LEC method was used to assess the risk of occupational exposure among nursing staff in hospital clinical fever settings and to determine the level of occupational exposure risk.Results: Two rounds of expert inquiry were conducted to obtain the results. The recovery rates of the questionnaires deemed effective were 100%. The coefficients pertaining to expert authority were 0.807 and 0.835, and the coefficients associated with expert opinion coordination were 0.785 and 0.808, respectively. In the assessment of nursing occupational exposure risk in fever clinics, 9 risk factors were identified, with a Danger (D) value of ≥70 and risk level of ≥3. These risk factors encompassed personnel, technical, environmental, and management aspects. Considering the prevailing unsafe factors, it is recommended to enhance personnel management training, bolster protection skills, upgrade environmental facilities, improve the supervision system, and implement other appropriate rectification measures.Conclusions: The scale is both scientifically rigorous and have the ability to present evidence in order to enhance the occupational environment for nursing personnel and guarantee their occupational safety. Additionally, it can function as a policy reference for enhancing the response mechanism of the medical and health systems.
Journal Article
SARS-CoV-2 membrane glycoprotein M antagonizes the MAVS-mediated innate antiviral response
A novel SARS-related coronavirus (SARS-CoV-2) has recently emerged as a serious pathogen that causes high morbidity and substantial mortality. However, the mechanisms by which SARS-CoV-2 evades host immunity remain poorly understood. Here, we identified SARS-CoV-2 membrane glycoprotein M as a negative regulator of the innate immune response. We found that the M protein interacted with the central adaptor protein MAVS in the innate immune response pathways. This interaction impaired MAVS aggregation and its recruitment of downstream TRAF3, TBK1, and IRF3, leading to attenuation of the innate antiviral response. Our findings reveal a mechanism by which SARS-CoV-2 evades the innate immune response and suggest that the M protein of SARS-CoV-2 is a potential target for the development of SARS-CoV-2 interventions.
Journal Article
Special Issue “Anticancer Drug Discovery Based on Natural Products”
Cancer continues to be one of the most significant global health challenges of our time [...]
Journal Article
The Interaction between Flavonoids and Intestinal Microbes: A Review
In recent years, research on the interaction between flavonoids and intestinal microbes have prompted a rash of food science, nutriology and biomedicine, complying with future research trends. The gut microbiota plays an essential role in the maintenance of intestinal homeostasis and human health, but once the intestinal flora dysregulation occurs, it may contribute to various diseases. Flavonoids have shown a variety of physiological activities, and are metabolized or biotransformed by gut microbiota, thereby producing new metabolites that promote human health by modulating the composition and structure of intestinal flora. Herein, this review demonstrates the key notion of flavonoids as well as intestinal microbiota and dysbiosis, aiming to provide a comprehensive understanding about how flavonoids regulate the diseases by gut microbiota. Emphasis is placed on the microbiota-flavonoid bidirectional interaction that affects the metabolic fate of flavonoids and their metabolites, thereby influencing their metabolic mechanism, biotransformation, bioavailability and bioactivity. Potentially by focusing on the abundance and diversity of gut microbiota as well as their metabolites such as bile acids, we discuss the influence mechanism of flavonoids on intestinal microbiota by protecting the intestinal barrier function and immune system. Additionally, the microbiota-flavonoid bidirectional interaction plays a crucial role in regulating various diseases. We explain the underlying regulation mechanism of several typical diseases including gastrointestinal diseases, obesity, diabetes and cancer, aiming to provide a theoretical basis and guideline for the promotion of gastrointestinal health as well as the treatment of diseases.
Journal Article