Hepatic stellate cells (HSCs) are the primary fibrogenic cells in the liver, and their activation plays a crucial role in the development and progression of hepatic fibrosis. Here, we report that retinoid X receptor-alpha (RXRα), a unique member of the nuclear receptor superfamily, is a key modulator of HSC activation and liver fibrosis. RXRα exerts its effects by modulating calcium/calmodulin-dependent protein kinase kinase β (CaMKKβ)-mediated activation of AMP-activated protein kinase-alpha (AMPKα). In addition, we demonstrate that K-80003, which binds RXRα by a unique mechanism, effectively suppresses HSC activation, proliferation, and migration, thereby inhibiting liver fibrosis in the CCl₄ and amylin liver NASH (AMLN) diet animal models. The effect is mediated by AMPKα activation, promoting mitophagy in HSCs. Mechanistically, K-80003 activates AMPKα by inducing RXRα to form condensates with CaMKKβ and AMPKα via a two-phase process. The formation of RXRα condensates is driven by its N-terminal intrinsic disorder region and requires phosphorylation by CaMKKβ. Our results reveal a crucial role of RXRα in liver fibrosis regulation through modulating mitochondrial activities in HSCs. Furthermore, they suggest that K-80003 and related RXRα modulators hold promise as therapeutic agents for fibrosis-related diseases.

Objective:To comprehensively evaluate the application of Common Data Model (CDM) of Observational Medical Outcomes Partnership (OMOP) in China, and provide reference for the implementation of data standardization and evidence sharing in China.Methods:PubMed, Embase, Web of Science, CNKI, VIP, WanFang and SinoMed databases were used for literature retrieval to collect the research papers of OMOP CDM application for data standardization in China until March 15, 2023. The information about institutions, types and numbers of patients were extracted.Results:A total of 14 research papers, including 9 in English and 5 in Chinese, were selected. The research papers published since 2018 were collected, which focused on patients with hypertension, diabetes, and depression. A total of 12 institutions or platforms transformed data into OMOP CDM. Jiangsu Provincial People's Hospital was the first one to apply the CDM and demonstrated its feasibility in China. Additionally, the regional information system in Yinzhou District of Ningbo, Zhejiang Province, standardized the multi-dimensional data of patients with diabetes and hypertension. Based on this platform, a series of prediction models for complications in patients with diabetes were constructed. Another major database in Beijing Anding Hospital applied OMOP CDM to analyze the characteristics of patients with late-life depression and dementia.Conclusions:This study analyzed the application of OMOP CDM in China. Through in-depth analysis of specific cases, the study provided guidance for the future cross-regional evidence sharing and collaboration.

Objective:To analyze the current management status of real-world studies (RWS) in the medical institutions in China and suggest improvement focus for the management optimization.Methods:Surveys were conducted in 81 medical institutions nationwide. Convenience sampling was used to recruit survey subjects, and data were collected through self-administered questionnaires, followed by statistical analysis using descriptive methods.Results:The survey results indicated that 92.6% (75/81) of the medical institutions surveyed had undertaken RWS projects, with electronic medical records being the primary data source (89.3%, 67/75). Retrospective and prospective observational studies were the main types of study designs. Additionally, 96.3% (78/81) of the research subjects indicated that their medical institution expressed willingness to participate in or undertake RWS projects in the future. In terms of management, all types of RWS projects were managed by clinical trial center (24.0, 18/75), but differences existed in the management practices among medical institutions. Moreover, the challenges in data quality and standardization, study design and staff training, data and privacy protection and information technology support appeared in the management of RWS projects.Conclusions:It suggests to optimize the management processes of RWS projects in medical institutions and improve relevant laws and regulations to promote the development of RWS in China.

Objective To investigate the establishment and evaluation of an idiopathic pulmonary fibrosis(IPF)mouse model induced by the intratracheal infusion of bleomycin(BLM)of different concentrations.Methods Male C57BL/6J mice were randomly divided into a control group,Model-L group(1.5 mg/kg,BLM),Model-M group(2.5 mg/kg,BLM),and Model-H group(3.5 mg/kg,BLM).An IPF mouse model was constructed by one-time intratracheal infusion of BLM.The general status,body mass,survival rate,and lung coefficient of mice in different groups were compared.Pathological changes in lung tissue,the hydroxyproline content,fibrosis markers and inflammatory factor levels were observed.Results Compared with the control group,the survival rate decreased and body weight showed a downward trend in the low-,medium-,and high-dose model groups,with significant increases in lung coefficients.Inflammatory infiltration(P＜0.01)and collagen deposition(P＜0.0001)were observed in the lung tissues of all model groups.Hydroxyproline levels in lung tissue and serum were significantly elevated(P＜0.05).The mRNA levels of fibrosis markers α-Sma,Fn1,and Col1a1 were upregulated(P＜0.001),with significant increases in corresponding protein expression(P＜0.05).The mRNA expression of the inflammatory factor Tgfb1 also increased(P＜0.0001).Conclusion 1.5,2.5 and 3.5 mg/kg BLM can induce an IPF model in C57BL/6J mice.Based on the results observed for survival rate,body mass,lung coefficient changes,lung tissue gross and pathological changes,and fibrosis-related biomarkers,2.5 mg/kg BLM is the optimal concentration for inducing an IPF mouse model.

This study was aimed at exploring the mechanism underlying the effects of nitidine chloride against Talaromyces marnef-fei through network pharmacology analysis.We collected NC and TM action targets from various databases;constructed a protein-protein interaction(PPI)network by using common drug and disease targets;and performed KEGG pathway and GO enrichment analy-ses.In vitro cellular experiments were conducted to test the antibacterial ability of NC at various concentrations,qPCR was used to de-tect the mRNA expression of genes in the target pathway,and WB was used to examine the expression of proteins associated with tar-get signaling pathways in cells.We identified 153 target genes for NC and 2 095 target genes for TM,among which 23 targets over-lapped.By integrating the PPI network with KEGG enrichment analysis,we selected key target genes in the MAPK signaling pathway,such as FLT1,FLT3,CD38,and PRF1.The CFU results indicated that NC had favorable antibacterial capability.Moreover,qPCR demonstrated that NC downregulated the mRNA expression of FLT1,FLT3,and RPS6KA3,and upregulated the mRNA expression of MAP3K8.WB findings indicated that NC downregulated the expression of RSK2,VEGF,and FLT3 proteins,and upregulated the ex-pression of MAP3K8 protein.NC may exert its anti-TM effects by downregulating the expression of RSK2,VEGF,and FLT3 proteins,thereby inhibiting MAPK pathway activation.The potential targets and signaling pathways underlying NC's anti-TM action may pro-vide new insights to guide the clinical application of NC.

Objective:To comprehensively evaluate the application of Common Data Model (CDM) of Observational Medical Outcomes Partnership (OMOP) in China, and provide reference for the implementation of data standardization and evidence sharing in China.Methods:PubMed, Embase, Web of Science, CNKI, VIP, WanFang and SinoMed databases were used for literature retrieval to collect the research papers of OMOP CDM application for data standardization in China until March 15, 2023. The information about institutions, types and numbers of patients were extracted.Results:A total of 14 research papers, including 9 in English and 5 in Chinese, were selected. The research papers published since 2018 were collected, which focused on patients with hypertension, diabetes, and depression. A total of 12 institutions or platforms transformed data into OMOP CDM. Jiangsu Provincial People's Hospital was the first one to apply the CDM and demonstrated its feasibility in China. Additionally, the regional information system in Yinzhou District of Ningbo, Zhejiang Province, standardized the multi-dimensional data of patients with diabetes and hypertension. Based on this platform, a series of prediction models for complications in patients with diabetes were constructed. Another major database in Beijing Anding Hospital applied OMOP CDM to analyze the characteristics of patients with late-life depression and dementia.Conclusions:This study analyzed the application of OMOP CDM in China. Through in-depth analysis of specific cases, the study provided guidance for the future cross-regional evidence sharing and collaboration.

Objective:To analyze the current management status of real-world studies (RWS) in the medical institutions in China and suggest improvement focus for the management optimization.Methods:Surveys were conducted in 81 medical institutions nationwide. Convenience sampling was used to recruit survey subjects, and data were collected through self-administered questionnaires, followed by statistical analysis using descriptive methods.Results:The survey results indicated that 92.6% (75/81) of the medical institutions surveyed had undertaken RWS projects, with electronic medical records being the primary data source (89.3%, 67/75). Retrospective and prospective observational studies were the main types of study designs. Additionally, 96.3% (78/81) of the research subjects indicated that their medical institution expressed willingness to participate in or undertake RWS projects in the future. In terms of management, all types of RWS projects were managed by clinical trial center (24.0, 18/75), but differences existed in the management practices among medical institutions. Moreover, the challenges in data quality and standardization, study design and staff training, data and privacy protection and information technology support appeared in the management of RWS projects.Conclusions:It suggests to optimize the management processes of RWS projects in medical institutions and improve relevant laws and regulations to promote the development of RWS in China.

Objective To analyze the cunent situation and latent profiles of nurses'perceived organizational support,and explore the influencing factors of different types.Methods Through convenience sampling,a total of 1,860 nurses from the Pearl River Delta,Northern Guangdong,Eastern Guangdong and Western Guangdong regions of Guangdong Province were selected for the survey between October and December 2023.The demographic questionnaire,the Perceived Organizational Support Scale,and the Psychological Resilience Scale were used for investigation.The latent profiles of the nurses'perceived organizational support,the influencing factors of latent profiles were identified by single-factor analysis and multivariate Logistic regression.Results The score of the items of the perceived organizational support in l,819 nurses is(3.47±0.88)scores.Nurses perceived organizational support is divided into 3 latent classes,namely"poor group"(10.1％),"balanced group"(44.4％),and"rich group"(45.5％).The influencing factors include recruitment type,hospital level,and psychological resilience(all P＜0.05).Conclusion The perceived organizational support among nurses is moderately high and heterogeneous,which could be divided into 3 latent profiles.Nursing managers should focus on nurses from the poor group and balanced group and intervene with nurses according to the influencing factors of the different latent profiles to improve the level of nurses perceived organizational support.

This study was aimed at exploring the mechanism underlying the effects of nitidine chloride against Talaromyces marnef-fei through network pharmacology analysis.We collected NC and TM action targets from various databases;constructed a protein-protein interaction(PPI)network by using common drug and disease targets;and performed KEGG pathway and GO enrichment analy-ses.In vitro cellular experiments were conducted to test the antibacterial ability of NC at various concentrations,qPCR was used to de-tect the mRNA expression of genes in the target pathway,and WB was used to examine the expression of proteins associated with tar-get signaling pathways in cells.We identified 153 target genes for NC and 2 095 target genes for TM,among which 23 targets over-lapped.By integrating the PPI network with KEGG enrichment analysis,we selected key target genes in the MAPK signaling pathway,such as FLT1,FLT3,CD38,and PRF1.The CFU results indicated that NC had favorable antibacterial capability.Moreover,qPCR demonstrated that NC downregulated the mRNA expression of FLT1,FLT3,and RPS6KA3,and upregulated the mRNA expression of MAP3K8.WB findings indicated that NC downregulated the expression of RSK2,VEGF,and FLT3 proteins,and upregulated the ex-pression of MAP3K8 protein.NC may exert its anti-TM effects by downregulating the expression of RSK2,VEGF,and FLT3 proteins,thereby inhibiting MAPK pathway activation.The potential targets and signaling pathways underlying NC's anti-TM action may pro-vide new insights to guide the clinical application of NC.

Objective To analyze the cunent situation and latent profiles of nurses'perceived organizational support,and explore the influencing factors of different types.Methods Through convenience sampling,a total of 1,860 nurses from the Pearl River Delta,Northern Guangdong,Eastern Guangdong and Western Guangdong regions of Guangdong Province were selected for the survey between October and December 2023.The demographic questionnaire,the Perceived Organizational Support Scale,and the Psychological Resilience Scale were used for investigation.The latent profiles of the nurses'perceived organizational support,the influencing factors of latent profiles were identified by single-factor analysis and multivariate Logistic regression.Results The score of the items of the perceived organizational support in l,819 nurses is(3.47±0.88)scores.Nurses perceived organizational support is divided into 3 latent classes,namely"poor group"(10.1％),"balanced group"(44.4％),and"rich group"(45.5％).The influencing factors include recruitment type,hospital level,and psychological resilience(all P＜0.05).Conclusion The perceived organizational support among nurses is moderately high and heterogeneous,which could be divided into 3 latent profiles.Nursing managers should focus on nurses from the poor group and balanced group and intervene with nurses according to the influencing factors of the different latent profiles to improve the level of nurses perceived organizational support.