BACKGROUND:The repair process of myocardial injury involves complex cellular and molecular mechanisms,especially mitochondrial calcium homeostasis,macrophage autophagy and pyroptosis pathways.Traditional Chinese medicine(TCM)has shown significant clinical efficacy in improving myocardial injury,but its mechanism of action needs to be thoroughly investigated. OBJECTIVE:To investigate the role of mitochondrial calcium homeostasis-mediated macrophage autophagy and pyroptosis pathways in myocardial injury,and to summarize the progress of TCM in this field. METHODS:A computerized search was performed for relevant literature from the database inception to March 2024 in the Web of Science,PubMed and CNKI.The search terms were"mitochondrial calcium homeostasis,macrophage autophagy,macrophage pyroptosis,traditional Chinese medicine,myocardial injury,myocardial injury reperfusion"in Chinese and English.Through literature review,we analyzed the relationship between mitochondrial calcium homeostasis and macrophage autophagy and pyroptosis,explored the mechanism of their roles in myocardial injury,and summarized the pathways of multi-targeted,multi-pathway effects of TCM. RESULTS AND CONCLUSION:The maintenance of mitochondrial calcium homeostasis has been found to be closely related to the normal function of cardiomyocytes.Macrophages can participate in the repair process of myocardial injury through autophagy and pyroptosis pathways.Autophagy contributes to cell clearance and regulation of inflammatory response,while pyroptosis affects myocardial repair by releasing inflammatory factors.TCM regulates mitochondrial calcium homeostasis and macrophage function through multiple mechanisms.For example,astragalosid regulates calcium homeostasis by lowering mitochondrial membrane potential and inhibiting cytochrome C,and epimedium glycoside plays a role in reducing β-amyloid deposition.In addition,herbal compounds and single drugs promote myocardial repair by activating or inhibiting specific signaling pathways,such as PI3K/AKT and nuclear factor-κB signaling pathways.Future studies should focus on the interactions between mitochondrial calcium homeostasis,autophagy and pyroptosis pathways,as well as how TCM can exert therapeutic effects through these pathways to provide new strategies and drugs for the treatment of myocardial injury.

Background and purpose:Colorectal cancer(CRC),ranking as the third most common malignant tumor globally,continues to pose a significant public health challenge due to its high incidence and mortality rates.Chemotherapy remains a cornerstone treatment for advanced CRC.However,its efficacy is often severely limited by the emergence of multidrug resistance(MDR).The drug efflux mediated by ABCB1 is a key mechanism underlying chemotherapeutic failure.Although the non-steroidal anti-inflammatory drug tepoxalin exhibits potential antitumor activity,it remains unclear whether it influences CRC progression and chemoresistance by targeting ABCB1.This study aimed to elucidate the mechanism by which tepoxalin suppresses CRC cell growth and reverses chemoresistance through the regulation of ABCB1.Methods:This study employed a multifaceted research strategy:Bioinformatics analysis was conducted using the DepMap,The Cancer Genome Atlas(TCGA),Genotype-Tissue Expression(GTEx)and Human Protein Atlas(HPA)databases to analyze ABCB1 expression profiles and drug sensitivity.In vitro,the cell counting kit-8(CCK-8)assay was used to assess cell proliferation and chemosensitivity,and IC50 values were calculated.A subcutaneous xenograft model in nude mice was established to evaluate the antitumor efficacy in vivo.The drug affinity responsive target stability(DARTS)assay was performed to validate the direct binding between tepoxalin and ABCB1 protein.Transcriptome sequencing and gene set enrichment analysis(GSEA)were utilized to identify downstream signaling pathways.Western blot and immunohistochemistry were applied to detect the expression changes of key proteins.The PI3K-Akt pathway inhibitor copanlisib was used for reverse validation.Statistical analysis was performed using SPSS 20.0 software,and graphs were generated using GraphPad Prism 8.0.1.A value of P＜0.05 was considered statistically significant.Results:ABCB1 was significantly overexpressed in CRC tissues and cell lines(P＜0.05).Cells with high ABCB1 expression exhibited increased sensitivity to tepoxalin(R=-0.323,P＜0.001).Tepoxalin directly bound to the ABCB1 protein and promoted its proteasomal degradation.In vivo,tepoxalin significantly inhibited the growth of xenograft tumors(P＜0.01)and downregulated the expression of ABCB1 and Ki-67 proliferation index in tumor tissues.Transcriptomic analysis revealed that tepoxalin suppressed the PI3K-Akt signaling pathway[GSEA,false discovery rate(FDR)＜0.05],leading to reduced transcriptional expression of ABCB1.This effect was replicated using the PI3K-Akt pathway inhibitor copanlisib.Ultimately,tepoxalin synergistically enhanced the efficacy of 5-fluorouracil(5-FU)through the aforementioned actions.Conclusion:Tepoxalin targets ABCB1 through a dual-track mechanism:it directly binds to and destabilizes the ABCB1 protein while simultaneously downregulating its transcriptional expression via inhibition of the PI3K-Akt pathway.This coordinated action can synergistically inhibit CRC cell growth and effectively reverse chemoresistance,offering a novel potential therapeutic strategy for overcoming drug resistance in CRC.

Background and purpose:Colorectal cancer(CRC),ranking as the third most common malignant tumor globally,continues to pose a significant public health challenge due to its high incidence and mortality rates.Chemotherapy remains a cornerstone treatment for advanced CRC.However,its efficacy is often severely limited by the emergence of multidrug resistance(MDR).The drug efflux mediated by ABCB1 is a key mechanism underlying chemotherapeutic failure.Although the non-steroidal anti-inflammatory drug tepoxalin exhibits potential antitumor activity,it remains unclear whether it influences CRC progression and chemoresistance by targeting ABCB1.This study aimed to elucidate the mechanism by which tepoxalin suppresses CRC cell growth and reverses chemoresistance through the regulation of ABCB1.Methods:This study employed a multifaceted research strategy:Bioinformatics analysis was conducted using the DepMap,The Cancer Genome Atlas(TCGA),Genotype-Tissue Expression(GTEx)and Human Protein Atlas(HPA)databases to analyze ABCB1 expression profiles and drug sensitivity.In vitro,the cell counting kit-8(CCK-8)assay was used to assess cell proliferation and chemosensitivity,and IC50 values were calculated.A subcutaneous xenograft model in nude mice was established to evaluate the antitumor efficacy in vivo.The drug affinity responsive target stability(DARTS)assay was performed to validate the direct binding between tepoxalin and ABCB1 protein.Transcriptome sequencing and gene set enrichment analysis(GSEA)were utilized to identify downstream signaling pathways.Western blot and immunohistochemistry were applied to detect the expression changes of key proteins.The PI3K-Akt pathway inhibitor copanlisib was used for reverse validation.Statistical analysis was performed using SPSS 20.0 software,and graphs were generated using GraphPad Prism 8.0.1.A value of P＜0.05 was considered statistically significant.Results:ABCB1 was significantly overexpressed in CRC tissues and cell lines(P＜0.05).Cells with high ABCB1 expression exhibited increased sensitivity to tepoxalin(R=-0.323,P＜0.001).Tepoxalin directly bound to the ABCB1 protein and promoted its proteasomal degradation.In vivo,tepoxalin significantly inhibited the growth of xenograft tumors(P＜0.01)and downregulated the expression of ABCB1 and Ki-67 proliferation index in tumor tissues.Transcriptomic analysis revealed that tepoxalin suppressed the PI3K-Akt signaling pathway[GSEA,false discovery rate(FDR)＜0.05],leading to reduced transcriptional expression of ABCB1.This effect was replicated using the PI3K-Akt pathway inhibitor copanlisib.Ultimately,tepoxalin synergistically enhanced the efficacy of 5-fluorouracil(5-FU)through the aforementioned actions.Conclusion:Tepoxalin targets ABCB1 through a dual-track mechanism:it directly binds to and destabilizes the ABCB1 protein while simultaneously downregulating its transcriptional expression via inhibition of the PI3K-Akt pathway.This coordinated action can synergistically inhibit CRC cell growth and effectively reverse chemoresistance,offering a novel potential therapeutic strategy for overcoming drug resistance in CRC.

INTRODUCTION: Lecanemab has shown promise in treating early Alzheimer's disease (AD), but its safety and efficacy in Chinese populations remain unexplored. This study aimed to evaluate the safety and 6-month clinical outcomes of lecanemab in Chinese patients with mild cognitive impairment (MCI) or mild AD. METHODS: In this single-arm, real-world study, participants with MCI due to AD or mild AD received biweekly intravenous lecanemab (10 mg/kg). The study was conducted at Hainan Branch, Ruijin Hospital Shanghai Jiao Tong University School of Medicine. Patient enrollment and baseline assessments commenced in November 2023. Safety assessments included monitoring for amyloid-related imaging abnormalities (ARIA) and other adverse events. Clinical and biomarker changes from baseline to 6 months were evaluated using cognitive scales (mini-mental state examination [MMSE], montreal cognitive assessment [MoCA], clinical dementia rating-sum of boxes [CDR-SB]), plasma biomarker analysis, and advanced neuroimaging. RESULTS: A total of 64 patients were enrolled in this ongoing real-world study. Safety analysis revealed predominantly mild adverse events, with infusion-related reactions (20.3%, 13/64) being the most common. Of these, 69.2% (9/13) occurred during the initial infusion and 84.6% (11/13) did not recur. ARIA-H (microhemorrhages/superficial siderosis) and ARIA-E (edema/effusion) were observed in 9.4% (6/64) and 3.1% (2/64) of participants, respectively, with only two symptomatic cases (one ARIA-E presenting with headache and one ARIA-H with visual disturbances). After 6 months of treatment, cognitive scores remained stable compared to baseline (MMSE: 22.33 ± 5.58 vs . 21.27 ± 4.30, P = 0.733; MoCA: 16.38 ± 6.67 vs . 15.90 ± 4.78, P = 0.785; CDR-SB: 2.30 ± 1.65 vs . 3.16 ± 1.72, P = 0.357), while significantly increasing plasma amyloid-β 42 (Aβ42) (+21.42%) and Aβ40 (+23.53%) levels compared to baseline. CONCLUSIONS: Lecanemab demonstrated a favorable safety profile in Chinese patients with early AD. Cognitive stability and biomarker changes over 6 months suggest potential efficacy, though high dropout rates and absence of a control group warrant cautious interpretation. These findings provide preliminary real-world evidence for lecanemab's use in China, supporting further investigation in larger controlled studies. REGISTRATION ClinicalTrials.gov , NCT07034222.
Humans ; Alzheimer Disease/drug therapy* ; Male ; Female ; Aged ; Middle Aged ; Cognitive Dysfunction/drug therapy* ; Aged, 80 and over ; Amyloid beta-Peptides/metabolism* ; Biomarkers ; East Asian People

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Background::Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk among Chinese women and to simultaneously rank potential non-experimental risk factors.Methods::The Breast Cancer Cohort Study in Chinese Women, a large ongoing prospective dynamic cohort study, includes 122,058 women aged 25-70 years old from the eastern part of China. We developed multiple machine-learning risk prediction models using parametric models (penalized logistic regression, bootstrap, and ensemble learning), which were the short-term ensemble penalized logistic regression (EPLR) risk prediction model and the ensemble penalized long-term (EPLT) risk prediction model to estimate BC risk. The models were assessed based on calibration and discrimination, and following this assessment, they were externally validated in new study participants from 2017 to 2020.Results::The AUC values of the short-term EPLR risk prediction model were 0.800 for the internal validation and 0.751 for the external validation set. For the long-term EPLT risk prediction model, the area under the receiver operating characteristic curve was 0.692 and 0.760 in internal and external validations, respectively. The net reclassification improvement index of the EPLT relative to the Gail and the Han Chinese Breast Cancer Prediction Model (HCBCP) models for external validation was 0.193 and 0.233, respectively, indicating that the EPLT model has higher classification accuracy.Conclusions::We developed the EPLR and EPLT models to screen populations with a high risk of developing BC. These can serve as useful tools to aid in risk-stratified screening and BC prevention.

Objective: Previous research has explored a variety of mental disorders associated with Internet Gaming Disoder (IGD) and Social Media Addiction (SMA). To date, few studies focused on the network characteristics and investigated mood and sleep symptoms across SMA and IGD of adolescence at a group-specific level. This study aims to identify different characteristics of IGD and SMA and further determine the group-specific psychopathology process among adolescents. Methods: We conducted a cross-sectional study to recruit a cohort of 7,246 adolescents who were scored passing the cutoff point of Internet Gaming Disorder Scale-Short Form and Bergen Social Media Addiction Scale, as grouped in IGD and SMA, or otherwise into the control group. Patient Health Questionnaire-9, Generalized Anxiety Disorder 7-item, and Pittsburgh Sleep Quality Index were assessed for the current study, and all assessed items were investigated using network analysis. Results: Based on the analytical procedure, the participants were divided into three groups, the IGD group (n=789), SMA group (n=713) and control group (n=5,744). The edge weight bootstrapping analysis shows that different groups of networks reach certain accuracy, and the network structures of the three groups are statistically different (pcontrol-IGD=0.004, pcontrol-SMA<0.001, pIGD-SMA<0.001). The core symptom of SMA is “feeling down, depressed, or hopeless”, while IGD is “feeling tired or having little energy”. Conclusion Although IGD and SMA are both subtypes of internet addiction, the psychopathology processes of IGD and SMA are different. When dealing with IGD and SMA, different symptoms should be addressed.

OBJECTIVES: Shelter hospital was an alternative way to provide large-scale medical isolation and treatment for people with mild coronavirus disease 2019 (COVID-19). Due to various reasons, patients admitted to the large shelter hospital was reported high level of psychological distress, so did the healthcare workers. This study aims to introduce a comprehensive and multifaceted psychosocial crisis intervention model. METHODS: The psychosocial crisis intervention model was provided to 200 patients and 240 healthcare workers in Wuhan Wuchang shelter hospital. Patient volunteers and organized peer support, client-centered culturally sensitive supportive care, timely delivery of scientific information about COVID-19 and its complications, mental health knowledge acquisition of non-psychiatric healthcare workers, group activities, counseling and education, virtualization of psychological intervention, consultation and liaison were exhibited respectively in the model. Pre-service survey was done in 38 patients and 49 healthcare workers using the Generalized Anxiety Disorder 7-item (GAD-7) scale, the Patient Health Questionnaire 2-item (PHQ-2) scale, and the Primary Care PTSD screen for the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (PC-PTSD-5). Forty-eight healthcare workers gave feedback after the intervention. RESULTS: The psychosocial crisis intervention model was successfully implemented by 10 mental health professionals and was well-accepted by both patients and healthcare workers in the shelter hospital. In pre-service survey, 15.8% of 38 patients were with anxiety, 55.3% were with stress, and 15.8% were with depression; 16.3% of 49 healthcare workers were with anxiety, 26.5% were with stress, and 22.4% were with depression. In post-service survey, 62.5% of 48 healthcare workers thought it was very practical, 37.5% thought more practical; 37.5% of them thought it was very helpful to relief anxiety and insomnia, and 27.1% thought much helpful; 37.5% of them thought it was very helpful to recognize patients with anxiety and insomnia, and 29.2% thought much helpful; 35.4% of them thought it was very helpful to deal with patients' anxiety and insomnia, and 37.5% thought much helpful. CONCLUSIONS Psychological crisis intervention is feasible, acceptable, and associated with positive outcomes. Future tastings of this model in larger population and different settings are warranted.
Humans ; COVID-19 ; Sleep Initiation and Maintenance Disorders ; Crisis Intervention ; Psychosocial Intervention ; SARS-CoV-2 ; Mental Health ; Depression/epidemiology* ; Health Personnel/psychology* ; Anxiety/etiology*

Uncovering conserved 3D protein-ligand binding patterns on the basis of functional groups(FGs)shared by a variety of small molecules can greatly expand our knowledge of protein-ligand interactions.Despite that conserved binding patterns for a few commonly used FGs have been reported in the literature,large-scale identification and evaluation of FG-based 3D binding motifs are still lacking.Here,we propose a computational method,Automatic FG-based Three-dimensional Motif Extractor(AFTME),for automatic mapping of 3D motifs to different FGs of a specific ligand.Applying our method to 233 naturally-occurring ligands,we define 481 FG-binding motifs that are highly conserved across different ligand-binding pockets.Systematic analysis further reveals four main classes of binding motifs corresponding to distinct sets of FGs.Combinations of FG-binding motifs facilitate the binding of proteins to a wide spectrum of ligands with various binding affinities.Finally,we show that our FG-motif map can be used to nominate FGs that potentially bind to specific drug targets,thus providing useful insights and guidance for rational design of small-molecule drugs.