Altered EEG Microstates Dynamics in Individuals with Subthreshold Depression When Generating Negative Future Events.

Negative bias in prospection may play a crucial role in driving and maintaining depression. Recent research suggests abnormal activation and functional connectivity in regions of the default mode network (DMN) during future event generation in depressed individuals. However, the neural dynamics during prospection in these individuals remain unknown. To capture network dynamics at high temporal resolution, we employed electroencephalogram (EEG) microstate analysis. We examined microstate properties during both positive and negative prospection in 35 individuals with subthreshold depression (SD) and 35 controls. We identified similar sets of four canonical microstates (A-D) across groups and conditions. Source analysis indicated that each microstate map partially overlapped with a subsystem of the DMN (A: verbal; B: visual-spatial; C: self-referential; and D: modulation). Notably, alterations in EEG microstates were primarily observed in negative prospection of individuals with SD. Specifically, when generating negative future events, the coverage, occurrence, and duration of microstate A increased, while the coverage and duration of microstates B and D decreased in the SD group compared to controls. Furthermore, we observed altered transitions, particularly involving microstate C, during negative prospection in the SD group. These altered dynamics suggest dysconnectivity between subsystems of the DMN during negative prospection in individuals with SD. In conclusion, we provide novel insights into the neural mechanisms of negative bias in depression. These alterations could serve as specific markers for depression and potential targets for future interventions.

1,25(OH)2D3 alleviates oxidative stress and inflammation through up-regulating HMGCS2 in DSS-induced colitis.

BACKGROUND: Previous study found that supplements with active vitamin D3 alleviated experimental colitis. The objective of this study was to investigate the possible role of 3-hydroxy-3-methylglutaryl-CoA synthase 2 (HMGCS2), a ketone synthase, on vitamin D3 protecting against experimental colitis. METHODS: HMGCS2 and vitamin D receptor (VDR) were measured in UC patients. The effects of vitamin D deficiency (VDD) and exogenous 1,25(OH)2D3 supplementation on experimental colitis were investigated in dextran sulfate sodium (DSS)-treated mice. DSS-induced oxidative stress and inflammation were analyzed in HT-29 cells. HMGCS2 was detected in 1,25(OH)2D3-pretreated HT-29 cells and mouse intestines. HMGCS2 was silenced to investigate the role of HMGCS2 in 1,25(OH)2D3 protecting against experimental colitis. RESULTS: Intestinal HMGCS2 downregulation was positively correlated with VDR reduction in UC patients. The in vivo experiments showed that VDD exacerbated DSS-induced colitis. By contrast, 1,25(OH)2D3 supplementation ameliorated DSS-induced colon damage, oxidative stress and inflammation. HMGCS2 was up-regulated after 1,25(OH)2D3 supplementation both in vivo and in vitro. Transfection with HMGCS2-siRNA inhibited antioxidant and anti-inflammatory effects of 1,25(OH)2D3 in DSS-treated HT-29 cells. CONCLUSION: 1,25(OH)2D3 supplementation up-regulates HMGCS2, which is responsible for 1,25(OH)2D3-mediated protection against oxidative stress and inflammation in DSS-induced colitis. These findings provide a potential therapeutic strategy for alleviating colitis-associated oxidative stress and inflammation.

The Ripple Effect: Unveiling the Bidirectional Relationship Between Negative Life Events and Depressive Symptoms in Medical Cadets.

Background: Previous studies have explored the relationship between negative life events and depression, but little is known about the bidirectional relationship between negative life events and depression, particularly in specific groups of medical cadets. Purpose: This study aimed to explore the relationship between negative life events and depressive symptoms among medical cadets during their four years of college. Methods: An analysis of 4-wave longitudinal data collected from 2015-2018 was conducted using a cross-lagged panel network (CLPN) model to explore the complex causal relationship between negative life events and depressive symptoms in medical cadets (N=433). Results: We found differences in negative life events and depressive symptoms among medical cadets across four network models over four years of university. Nodes A-21, A-20, A-23 and A-24, and depressive symptoms D-6 showed greater lagged effect values. Conclusion: Our findings suggest that there is a lagged and mutually causal interaction between negative life events and depressive symptoms in medical cadets over 4 years of college, but that the predictability of negative life events is more important. However, more attention needs to be paid to the predictive role of depressive symptoms, especially those in early life which are often overlooked. Our study provides new insights into the relationship between negative life events and depressive symptoms in university students and helps to refine strategies for prevention and intervention of depression.

Risk factors and prediction model for mental health in Chinese soldiers.

Introduction: This study aimed to explore potential risk factors for mental health concerns, and the prediction model for mental health concerns in Chinese soldiers was constructed through combined eligible risk factors. Methods: This cross-sectional study was performed on soldiers under direct command from Gansu, Sichuan, and Chongqing in China, and the soldiers were selected by cluster convenient sampling from 16 October 2018 to 10 December 2018. The Symptom Checklist-90 (SCL-90) and three questionnaires (Military Mental Health Status Questionnaire, Military Mental Health Ability Questionnaire, and Mental Quality Questionnaire for Army Men) were administered, including demographics, military careers, and 18 factors. Results: Of 1,430 Chinese soldiers, 162 soldiers presented mental disorders, with a prevalence of 11.33%. A total of five risk factors were identified, including serving place (Sichuan vs. Gansu: OR, 1.846, 95% CI: 1.028-3.315, P = 0.038; Chongqing vs. Gansu: OR, 3.129, 95% CI, 1.669-5.869, P = 0.003), psychosis (OR, 1.491, 95% CI, 1.152-1.928, P = 0.002), depression (OR, 1.482, 95% CI, 1.349-1.629, P < 0.001), sleep problems (OR, 1.235, 95% CI, 1.162-1.311, P < 0.001), and frustration (OR, 1.050, 95% CI, 1.015-1.087, P = 0.005). The area under the ROC curve by combining these factors was 0.930 (95% CI: 0.907-0.952) for predicting mental disorders in Chinese soldiers. Conclusion: The findings of this study demonstrate that mental disorders and onset in Chinese soldiers can be predicted on the basis of these three questionnaires, and the predictive value of the combined model was high.

Association of burnout with depression in pharmacists: A network analysis.

Background: Burnout and depression have overlapping symptoms, but the extent of overlap remains unclear, and the complex relationship between burnout and depression in pharmacists is rarely explored. Methods: We investigated burnout and depression in 1,322 frontline pharmacists, and explored the complex relationship between burnout and depression in those pharmacists using network analysis. Results: Network analysis showed that there were 5 communities. A partial overlap was found between burnout and depressive symptoms in pharmacists. The nodes MBI-6 (I have become more callous toward work since I took this job), D18 (My life is meaningless), and D10 (I get tired for no reason) had the highest expected influence value. D1 (I feel down-hearted and blue) and D14 (I have no hope for the future) were bridge symptoms connected with emotional exhaustion and reduced professional efficacy, respectively. Conclusion: A partial overlap exists between burnout and depressive symptoms in pharmacists, mainly in the connection between the emotional exhaustion and reduced professional efficacy and the depressive symptoms. Potential core targets identified in this study may inform future prevention and intervention.

Social anxiety and depression symptoms in Chinese left-behind children after the lifting of COVID-19 lockdown: A network analysis.

BACKGROUND: Returning to social life after the lifting of COVID-19 lockdown may increase risk of social anxiety, which is highly co-morbid with depression. However, few studies have reported the association between them. AIMS: To explore the complex relationship between social anxiety and depression symptoms in left-behind children after the lifting of the COVID-19 lockdown. METHODS: A cross-sectional survey was conducted 6 months after the lockdown removal. A total of 3,107 left-behind children completed the survey with a mean age of 13.33 and a response rate of 87.77%. Depression and social anxiety severity were assessed by the DSM-5 Patient Health Questionnaire for Adolescents and the DSM-5 Social Anxiety Disorder Questionnaire, respectively. The symptom-level association between the two disorders was examined using network analysis. RESULTS: After the lifting of COVID-19 lockdown, the prevalence of depression and social anxiety in left-behind children was 19.57% and 12.36%, respectively, with a co-morbidity rate of 8.98%. Network analysis showed that "Social tension" and "Social avoidance" had the greatest expected influence; "Humiliation" and "Motor" were bridge symptom nodes in the network. The directed acyclic graph indicated that "Social fright" was at the upstream of all symptoms. CONCLUSION: Attention should be paid to social anxiety symptoms in left-behind children after the lifting of COVID-19 lockdown. Prevention and intervention measures should be taken promptly to reduce the comorbidity of social anxiety and depression symptoms in the left-behind children after the lifting of lockdown.

Life events and depression among children and adolescents in southwest China: a two-stage moderated mediation model of social support and cognitive styles.

BACKGROUND: According to data from the National Health Commission in 2018, more than 30 million children and adolescents in China suffered from mental health problems of varying degrees, with depression accounting for the largest proportion. Life events occur at every stage of child and adolescent development. Many studies have found a relationship between life events and depression in children and adolescents, but few studies have further explored the mediating and moderating variables that influence this relationship. Based on theoretical and empirical research on social support and cognitive styles, this study established a two-stage moderated mediating model to test whether social support mediates life events to depression, and cognitive style moderates the two mediating pathways. METHODS: We recruited 3540 participants from primary and secondary schools in Chongqing and collected 2814 valid data. All the participants completed self-report measures of life events, depression, social support and cognitive styles. The moderated mediation model was examined using SPSS PROCESS model 58. RESULTS: (1) There were significant positive correlations between life events and depression. (2) Social support mediates the relationship between life events and depression in children and adolescents. (3) Cognitive style moderates life events to social support and social support to depression. LIMITATIONS: This is a cross-sectional study and the questionnaire is self-reported. CONCLUSIONS: In children and adolescents, life events can influence depression through the mediating role of social support and cognitive styles could moderate its two mediating pathways.

Can inequality reduction decrease carbon emissions in China? A counterfactual analysis.

The relationship between the two sustainable development goals (SDGs)-inequality reduction and carbon emission reduction is critical for governments formulating and implementing environmental and redistribution policies. This study uses micro survey data from the China Family Panel Studies (CFPS) to conduct a counterfactual analysis that decomposes and quantifies the net effects of consumption growth, redistribution, and changing patterns of consumption on household carbon emissions. The counterfactual approach helps to overcome the endogeneity concerns. The findings of our study convey a profoundly important and alarming message: the redistribution measures for inequality reduction may increase household carbon emissions. The findings attest to the need for Chinese policymakers to seriously consider the trade-off between inequality reduction and emission reduction, particularly in certain regions in China. To address the trade-off, one key measure is to encourage low-carbon lifestyles and consumption patterns to ensure that the benefits gained by poorer households from redistribution measures will not translate into higher emissions.

Satellite monitoring of shrinking cities on the globe and containment solutions.

Shrinking cities are often neglected in the context of global urbanization, the tip of the iceberg that was driven by underlying complex sets of causes. Therefore, it is urgent and crucial to investigate the invisible aspects of global urbanization propelling specific challenges to attain Sustainable Development Goal 11 (SDG 11) related to sustainable cities and communities. Here, we identify shrinking cities in 1992-2000, 2000-2012, and 2013-2018 and predict them in 2018-2050, using nighttime light images and redefined natural city boundaries. The proportion of shrinking cities increased from 9% to 16 and 25%. Looking ahead, there will be 7,166 predicted shrinking cities in 2050, accounting for 37% of all cities. In this context, synergistic efforts like regreening vacant lands and constructing compact cities would help achieve SDG 11 in consideration of the new urban shrinking landscape with multisource data like CO2 emissions and points of interests (POIs).

Synergic Benefits of Air Pollutant Reduction, CO2 Emission Abatement, and Water Saving under the Goal of Achieving Carbon Emission Peak: The Case of Tangshan City, China.

The study aims to explore the synergic benefits of reducing air pollutants and CO2 and water consumption under the carbon emission peak (CEP) policies at a city level. Air pollutants and CO2 emissions are predicted by the Low Emissions Analysis Platform (LEAP) model, and the water consumption is forecast by the quota method. Two scenarios are constructed with the same policies, but to different degrees: the reference scenario achieves CEP in 2030, and the green and low carbon scenario achieves CEP in 2025. The prediction results show that air pollutant emissions, CO2 emissions, and water consumption can be obviously decreased by intensifying the CEP policies. The synergic abatement effect was illustrated by the synergic reduction curve. Accelerating the adjustment of economic structure saves the most water, reduces the greatest amount of CO2 emission, and also obtains the best synergic reduction capability between water consumption and CO2 emission. Transforming the traditionally long process of steelmaking toward a short electric process reduces the majority of PM2.5, SO2, and VOC emissions, while consuming more water. The study provides a new viewpoint to assess and optimize the CEP action plan at city levels.

A Study on the Impact of Institutional Pressure on Carbon Information Disclosure: The Mediating Effect of Enterprise Peer Influence.

Enterprises should bear the main responsibility for greenhouse gas emissions. Disclosing carbon emission information is one of the important ways for enterprises to deal with climate change. Taking China's A-share listed companies from 2014 to 2018 as the research sample, we study the impact of external explicit institutional pressure and implicit institutional pressure on corporate carbon information disclosure and analyze the mediating effect of enterprise peer influence in carbon disclosure. The empirical results show that external institutional pressure, namely environmental regulation and Confucian culture, has a significant positive impact on enterprise carbon information disclosure. Enterprise peer influence has a certain mediating effect between external institutional pressure and carbon information disclosure. The government should formulate and improve the carbon information disclosure institution and strengthen external supervision through the joint participation of all sectors of society.

The Relation between Neuroticism and Non-Suicidal Self-Injury Behavior among College Students: Multiple Mediating Effects of Emotion Regulation and Depression.

BACKGROUND: Non-suicidal self-injury (NSSI) behavior among college students is a focus of attention in current society. In the information era, the Internet serves as a public health concern and as an effective pathway for prevention. In order to reduce NSSI behavior, we explore its influence factors, especially the relations between neuroticism, emotion regulation (ER), depression, and NSSI behavior. METHODS: A total of 450 college students were surveyed with the Big Five Inventory-2, Emotion Regulation Questionnaire, Self-Rating Depression Scale, and Adolescent Non-Suicidal Self-Injury Assessment Questionnaire. RESULTS: Regression analysis showed that neuroticism significantly negatively predicted emotion regulation, while it positively predicted depression and NSSI. Multiple mediation modeling demonstrated that neuroticism and emotion regulation had no significant direct effects on NSSI. However, neuroticism could indirectly affect NSSI through four pathways of multiple mediating effects, including depression, cognitive reappraisal-depression, expressive suppression-depression, and cognitive reappraisal-expressive suppression-depression. CONCLUSIONS: Neuroticism positively predicts depression and NSSI behavior, and affects NSSI through the mediating effect of ER and depression. Therefore, amelioration of neuroticism from the perspectives of emotion regulation and depression is recommended, so as to reduce NSSI behavior among college students with highly neurotic personalities.

The chain mediating role of cognitive styles and alienation between life events and depression among rural left-behind children in poor areas in Southwest China.

BACKGROUND: Compared with no-left-behind children, left-behind children show more psychological and behavioral problems, among which depression is the most common and most influential psychological problem in childhood. Many studies have documented the impact of life events on depression among left-behind children, but few studies have focus on the mediating mechanisms behind this relationship. Based on theoretical and empirical research on cognitive style and alienation, this study constructed a chain mediation model to test whether cognitive style and alienation play a mediating role in life events and depression of left-behind children. METHODS: We recruited 13,035 participants from 25 districts and counties in Chongqing. After screening, 5127 questionnaires of left-behind children were included in the data analysis. They all completed self-report measures of demographic information, life events, cognitive styles, alienation and depression. We used SIF, CDI, ASLEC, CCSQ and IAP to collect the information of the variables and used the SPSS to analyze the data. RESULTS: (1) There were significant positive correlations among life events and depression. (2) Left-behind children's depression was affected by life events through 3 different pathways: the mediating role of cognitive styles, the mediating role of alienation, and the chain mediating role of both cognitive styles and alienation. LIMITATIONS: This is a cross-sectional study and the data used in our study is self-reported. CONCLUSIONS: Cognitive styles and alienation could mediate the association between life events and depression among left-behind children.

The regulatory mechanism between lysosomes and mitochondria in the aetiology of cardiovascular diseases.

Coordinated action among various organelles maintains cellular functions. For instance, mitochondria and lysosomes are the main organelles contributing to cellular metabolism and provide energy for cardiomyocyte contraction. They also provide essential signalling platforms in the cell that regulate many key processes such as autophagy, apoptosis, oxidative stress, inflammation and cell death. Often, abnormalities in mitochondrial or lysosomal structures and functions bring about cardiovascular diseases (CVDs). Although the communication between mitochondria and lysosomes throughout the cardiovascular system is intensely studied, the regulatory mechanisms have not been completely understood. Thus, we summarize the most recent studies related to mitochondria and lysosomes' role in CVDs and their potential connections and communications under cardiac pathophysiological conditions. Further, we discuss limitations and future perspectives regarding diagnosis, therapeutic strategies and drug discovery in CVDs.

The effects of Intensive Supervision Mechanism on air quality improvement in China.

The Intensive Supervision Mechanism (hereafter referred to as ISM) is one of the most important institutional management innovations for air pollution control in China, but there is currently no consensus on the effects of the ISM on air quality improvement. In this study, a reliable quantitative model based on the Difference-in-Differences (DID) analysis was designed to evaluate the impacts of ISM on air quality (as indicated by good air quality days (hereafter referred to as GAD) and the concentrations of six major air pollutants (i.e. PM2.5, PM10, O3_8H, NO2, SO2, and CO)), in China with focuses on the implementation cities of Henan Province. To optimize the model design, six meteorological factors, five socio-economic indicators, and VIIRS (Visible Infrared Imaging Radiometer Suite) data were also considered as alternative control variables for more comprehensive and effective results. In addition, the redundancy analysis (RDA) and Monte Carlo simulation were conducted to determine the optimal combination of those control variables which can best reflect the changes in explanatory variables. The main findings are as follows: (1) the statistical model applied in this study can well evaluate the impacts of ISM; (2) the implementation of ISM can significantly reduce the concentrations of SO2, CO, and NO2, but the improvements for PM2.5, PM10, GAD and O3_8H were not significant. (3) the potential for air quality improvement due to ISM tends to be reduced over time, and thus the positive effects of ISM at its second stage were not increased significantly compared with those observed during its first stage. In general, those results not only demonstrate the effectiveness of ISM on air quality improvement, but also provide insights into how the ISM can be optimized to gain a sustained improvement of the ambient air quality in the future.Implications: As a policy measure implemented by the Chinese government, the Intensive Supervision Mechanism (ISM) has significantly contributed to the improvement of air quality since its execution. However, the potential for air quality improvement due to ISM tends to be reduced over time, and thus the positive effects of ISM at its second stage were not increased significantly compared with those observed during its first stage. In addition, the implementation of ISM requires a large amount of financial investment, and thus has limited sustainability. Considering the increased difficulty of this policy instrument, whether to insist on the ISM warrants further analyses on its cost and effectiveness. More importantly, more targeted measures of ISM should be applied to decrease the ozone concentration in the future.

Machine Learning Methods to Evaluate the Depression Status of Chinese Recruits: A Diagnostic Study.

PURPOSE: Traditional questionnaires assessing the severity of depression are limited and might not be appropriate for military personnel. We intend to explore the diagnostic ability of three machine learning methods for evaluating the depression status of Chinese recruits, using the Chinese version of Beck Depression Inventory-II (BDI-II) as the standard. PATIENTS AND METHODS: Our diagnostic study was carried out in Luoyang City (Henan Province, China; 10/16/2018-12/10/2018) with a sample of 1000 Chinese male recruits selected using cluster convenient sampling. All participants completed the BDI and 3 questionnaires including the data of demographics, military careers and 18 factors. The participants were randomly selected as the training set and the testing at 2:1. The machine learning methods tested for assessing the presence or absence of depression status were neural network (NN), support vector machine (SVM), and decision tree (DT). RESULTS: A total of 1000 participants completed the questionnaires, with 223 reporting depression status and 777 not. The highest sensitivity was observed for DT (94.1%), followed by SVM (93.4%) and NN (93.1%). The highest specificity was observed for NN (60.0%), followed by SVM (58.8%) and DT (43.3%). The area under the curve (AUC) of the SVM was the largest (0.862) compared with NN (0.860) and DT (0.734). The regression prediction error and error volatility of the SVM were the smallest. CONCLUSION: The SVM has the smallest prediction error and error volatility, as well as the largest AUC compared with NN and DT for assessing the presence or absence of depression status in Chinese recruits.

Source apportionment of particulate matter based on numerical simulation during a severe pollution period in Tangshan, North China.

Facing serious air pollution problems, the Chinese government has taken numerous measures to prevent and control air pollution. Understanding the sources of pollutants is crucial to the prevention of air pollution. Using numerical simulation method, this study analysed the contributions of the total local emissions and local emissions from different sectors (such as industrial, traffic, resident, agricultural, and power plant emissions) to PM2.5 concentration, backward trajectory, and potential source regions in Tangshan, a typical heavy industrial city in north China. The impact of multi-scale meteorological conditions on source apportionment was investigated. From October 2016 to March 2017, total local emissions accounted for 46.0% of the near-surface PM2.5 concentration. In terms of emissions from different sectors, local industrial emissions which accounted for 23.1% of the near-surface PM2.5 concentration in Tangshan, were the most important pollutant source. Agricultural emissions were the second most important source, accounting for 10.3% of the near-surface PM2.5 concentration. The contributions of emissions from power plants, traffic, residential sources were 2.0%, 3.0%, and 7.2%, respectively. The contributions of total local emissions and emissions from different sectors depended on multi-scale meteorological conditions, and static weather significantly enhanced the contribution of regional transport to the near-surface PM2.5 concentration. Eight cluster backward trajectories were identified for Tangshan. The PM2.5 concentration for the 8 cluster trajectories significantly differed. The near-surface PM2.5 in urban Tangshan (receptor point) was mainly from the local emissions, and another important potential source region was Tianjin. The results of the source apportionment suggested the importance of joint prevention and control of air pollution in some areas where cities or industrial regions are densely distributed.

Improvement of mental health among Chinese plateau military personnel, 1993-2017: a cross-temporal meta-analysis of the Symptom Checklist-90.

Extreme occupational environments influence the military personnel's psychological functions. This study aims to investigate Chinese plateau soldiers' mental health, its changes over time and its correlation with social indicators. A cross-temporal meta-analysis of Symptom Checklist-90 (SCL-90) was employed to resolve these problems. Forty-six valid data with 23,481 samples at high altitude were screened from 34 journal articles between 1993 and 2017. The mental health of Chinese plateau soldiers showed significant improvement. The eight factor scores of SCL-90 showed a significantly negative correlation with years. The scores of Chinese plateau soldiers presented several peaks in the years 2000, 2008, and 2017, suggesting that the mental health may be influenced by momentous military events. The current-year ratio of defense budget to gross domestic product and divorce rate showed a significant correlation with mental health. The improvement of consumption level index could better explain the improvement of mental health in plateau soldiers. Also, the mental health level of soldiers might affect the 5-year-later consumption level index. The influence of social changes on mental health cannot be neglected. The characteristics of military mental health should be considered when designing the prevention, intervention, and treatment programs, and preparing policies to care military service members.

Inhibition of Ezh2 In Vitro and the Decline of Ezh2 in Developing Midbrain Promote Dopaminergic Neurons Differentiation Through Modifying H3K27me3.

Epigenetic modifications play an important role in neural development. Trimethylated histone H3 at lysine 27 (H3K27me3) is a repressive epigenetic marker that mediates tissue development. In this study, we demonstrate that H3K27me3 and histone methyl transferase Ezh2 regulated the development of dopaminergic (DA) neurons in vitro and in vivo. We found that H3K27me3 increased during differentiation of ventral midbrain-derived neural stem cells (VM-NSCs). However, histone demethylase selective inhibitor GSK-J1 increased H3K27me3 level and decreased the expression of tyrosine hydroxylase. Treated with Ezh2-selective inhibitor EPZ005687 repressed the trimethylation of H3K27 and enhanced differentiation of DA neurons in VM-NSCs cultures. Furthermore, Ezh2 inhibition promoted the expression of DA neurons developmental-related factors by modifying H3K27 trimethylation on the relevant promoter regions. Moreover, the effect of Ezh2 inhibition-mediated DA neurons differentiation was blocked by the expression of shRNA specific for Nurr1. In vivo, Ezh2 decreased and resulted in a reduction of H3K27me3 in developing midbrain. Deletion of Ezh2 by RNA interference approach promoted differentiation of DA neurons during midbrain development. Overexpression of Ezh2 enhanced cell self-renewal and did not affect differentiation of DA neurons.

N-Phenylquinazolin-2-amine Yhhu4952 as a novel promotor for oligodendrocyte differentiation and myelination.

Oligodendrocytes are a type of glial cells that ensheath multiple neuronal axons and form myelin. Under pathological conditions, such as multiple sclerosis (MS), inflammatory damage to myelin and oligodendrocytes leads to demyelination. Although the demyelinated regions can partially resolve functional deficits through remyelination, however, as the disease progresses, remyelination typically becomes incomplete and ultimately fails. One possible explanation for this failure is the activation of the Notch pathway in MS lesions, which impedes oligodendrocyte precursor cells (OPCs) at maturation. This leads to a potential target for remyelination. Here, we have identified a compound Yhhu4952 that promoted the maturation of cultured OPCs in a dose-dependent and time-dependent manner. Neonatal rats showed a significant increase in the expression of myelin basic protein (MBP) and the prevalence of mature oligodendrocytes in the corpus callosum after Yhhu4952 treatment. The compound was also effective in promoting remyelination in cuprizone-induced demyelination model and improving severity scores in experimental autoimmune encephalomyelitis (EAE) model. Mechanism studies revealed that Yhhu4952 promotes OPC differentiation through the inhibition of the Jagged1-Notch1 pathway. These findings suggest Yhhu4952 is potentially useful for proceeding oligodendrocyte differentiation and remyelination.