Chronic hepatitis B (CHB) poses a major global public health challenge and is a leading cause of cirrhosis and liver cancer. Hepatic steatosis is common in individuals with CHB compared to the non-CHB population and is particularly prevalent in hepatitis B virus (HBV)-endemic regions, affecting about one-third of CHB patients. The interaction between hepatic steatosis and CHB-related disease progression is complex and still under debate. Evidence demonstrates that co-existing steatosis may worsen liver fibrosis while paradoxically increasing the likelihood of achieving better HBV control. In particular, despite the association of steatotic liver disease (SLD) with lower HBV viral loads and higher rates of HBsAg seroclearance, the coexistence of CHB and SLD can potentially accelerate liver disease progression. Factors such as fat deposition, lipotoxicity, oxidative stress, and chronic inflammation in SLD may foster a pro-fibrotic and pro-carcinogenic environment, accelerating the disease progression. Additionally, loss of global DNA methylation, changes in the immune microenvironment, and genetic susceptibility further contribute to the development of CHB-related cirrhosis and hepatocellular carcinoma (HCC). This review examines the mechanisms driving liver disease progression and the heightened risk of cirrhosis and HCC in patients with concurrent CHB and steatotic liver disease, underscoring the importance of prioritizing antiviral therapy for CHB in addition to addressing SLD.

Chronic hepatitis B (CHB) poses a major global public health challenge and is a leading cause of cirrhosis and liver cancer. Hepatic steatosis is common in individuals with CHB compared to the non-CHB population and is particularly prevalent in hepatitis B virus (HBV)-endemic regions, affecting about one-third of CHB patients. The interaction between hepatic steatosis and CHB-related disease progression is complex and still under debate. Evidence demonstrates that co-existing steatosis may worsen liver fibrosis while paradoxically increasing the likelihood of achieving better HBV control. In particular, despite the association of steatotic liver disease (SLD) with lower HBV viral loads and higher rates of HBsAg seroclearance, the coexistence of CHB and SLD can potentially accelerate liver disease progression. Factors such as fat deposition, lipotoxicity, oxidative stress, and chronic inflammation in SLD may foster a pro-fibrotic and pro-carcinogenic environment, accelerating the disease progression. Additionally, loss of global DNA methylation, changes in the immune microenvironment, and genetic susceptibility further contribute to the development of CHB-related cirrhosis and hepatocellular carcinoma (HCC). This review examines the mechanisms driving liver disease progression and the heightened risk of cirrhosis and HCC in patients with concurrent CHB and steatotic liver disease, underscoring the importance of prioritizing antiviral therapy for CHB in addition to addressing SLD.

Chronic hepatitis B (CHB) poses a major global public health challenge and is a leading cause of cirrhosis and liver cancer. Hepatic steatosis is common in individuals with CHB compared to the non-CHB population and is particularly prevalent in hepatitis B virus (HBV)-endemic regions, affecting about one-third of CHB patients. The interaction between hepatic steatosis and CHB-related disease progression is complex and still under debate. Evidence demonstrates that co-existing steatosis may worsen liver fibrosis while paradoxically increasing the likelihood of achieving better HBV control. In particular, despite the association of steatotic liver disease (SLD) with lower HBV viral loads and higher rates of HBsAg seroclearance, the coexistence of CHB and SLD can potentially accelerate liver disease progression. Factors such as fat deposition, lipotoxicity, oxidative stress, and chronic inflammation in SLD may foster a pro-fibrotic and pro-carcinogenic environment, accelerating the disease progression. Additionally, loss of global DNA methylation, changes in the immune microenvironment, and genetic susceptibility further contribute to the development of CHB-related cirrhosis and hepatocellular carcinoma (HCC). This review examines the mechanisms driving liver disease progression and the heightened risk of cirrhosis and HCC in patients with concurrent CHB and steatotic liver disease, underscoring the importance of prioritizing antiviral therapy for CHB in addition to addressing SLD.

Pharmacotranscriptomic profiles, which capture drug-induced changes in gene expression, offer vast potential for computational drug discovery and are widely used in modern medicine. However, current computational approaches neglected the associations within gene‒gene functional networks and unrevealed the systematic relationship between drug efficacy and the reversal effect. Here, we developed a new genome-scale functional module (GSFM) transformation framework to quantitatively evaluate drug efficacy for in silico drug discovery. GSFM employs four biologically interpretable quantifiers: GSFM_Up, GSFM_Down, GSFM_ssGSEA, and GSFM_TF to comprehensively evaluate the multi-dimension activities of each functional module (FM) at gene-level, pathway-level, and transcriptional regulatory network-level. Through a data transformation strategy, GSFM effectively converts noisy and potentially unreliable gene expression data into a more dependable FM active matrix, significantly outperforming other methods in terms of both robustness and accuracy. Besides, we found a positive correlation between RS_GSFM and drug efficacy, suggesting that RS_GSFM could serve as representative measure of drug efficacy. Furthermore, we identified WYE-354, perhexiline, and NTNCB as candidate therapeutic agents for the treatment of breast-invasive carcinoma, lung adenocarcinoma, and castration-resistant prostate cancer, respectively. The results from in vitro and in vivo experiments have validated that all identified compounds exhibit potent anti-tumor effects, providing proof-of-concept for our computational approach.

The rapid emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants that evade immunity elicited by vaccination has posed a global challenge to the control of the coronavirus disease 2019 (COVID-19) pandemic. Therefore, developing countermeasures that broadly protect against SARS-CoV-2 and related sarbecoviruses is essential. Herein, we have developed a lipid nanoparticle (LNP)-encapsulated mRNA (mRNA-LNP) encoding the full-length Spike (S) glycoprotein of SARS-CoV-2 (termed RG001), which confers complete protection in a non-human primate model. Intramuscular immunization of two doses of RG001 in Rhesus monkey elicited robust neutralizing antibodies and cellular response against SARS-CoV-2 variants, resulting in significantly protected SARS-CoV-2-infected animals from acute lung lesions and complete inhibition of viral replication in all animals immunized with low or high doses of RG001. More importantly, the third dose of RG001 vaccination elicited effective neutralizing antibodies against current epidemic XBB and JN.1 strains and similar cellular response against SARS-CoV-2 Omicron variants (BA.1, XBB.1.16, and JN.1) were observed in immunized mice. All these results together strongly support the great potential of RG001 in preventing the infection of SARS-CoV-2 variants of concern (VOCs).

JMJD1C (Jumonji Domain Containing 1C), a member of the lysine demethylase 3 (KDM3) family, is universally required for the survival of several types of acute myeloid leukemia (AML) cells with different genetic mutations, representing a therapeutic opportunity with broad application. Yet how JMJD1C regulates the leukemic programs of various AML cells is largely unexplored. Here we show that JMJD1C interacts with the master hematopoietic transcription factor RUNX1, which thereby recruits JMJD1C to the genome to facilitate a RUNX1-driven transcriptional program that supports leukemic cell survival. The underlying mechanism hinges on the long N-terminal disordered region of JMJD1C, which harbors two inseparable abilities: condensate formation and direct interaction with RUNX1. This dual capability of JMJD1C may influence enhancer-promoter contacts crucial for the expression of key leukemic genes regulated by RUNX1. Our findings demonstrate a previously unappreciated role for the non-catalytic function of JMJD1C in transcriptional regulation, underlying a mechanism shared by different types of leukemias.
Core Binding Factor Alpha 2 Subunit/genetics* ; Humans ; Leukemia, Myeloid, Acute/pathology* ; Jumonji Domain-Containing Histone Demethylases/chemistry* ; Gene Expression Regulation, Leukemic ; Oxidoreductases, N-Demethylating/genetics* ; Cell Line, Tumor

Objective To develop an ultra-sensitive nanoparticle contrast agent for magnetic resonance angiography(MRA),to establish a highly sensitive imaging method for complicated vascular structures,and to provide imaging evidence for precision diagnosis,treatment,prognosis,and individualized treatment of ischemic stroke.Methods A dual-modality MRA contrast agent was prepared through ligand exchange of ultra-small NaGdF4 nanocrystals synthesized via a high temperature method,with biocompatible polyethylene glycol(PEG-dp)ligands.The basic structure,morphology,size distribution,and relaxation rate of the NaGdF4 nano contrast agent were characterized using transmission electron microscopy(TEM),a particle size potential analyzer,and a 7.0 T small-animal MRI scanner.A total of 6 healthy male SPF-grade BALB/c mice were selected and randomly divided into two groups,a NaGdF4 group and a Gd-DTPA group.The mice in the two groups were injected with NaGdF4 nanoparticle contrast agent or clinical Gd-DTPA contrast agent(0.1 mmol Gd3+/kg)via the tail vein.MRA images were obtained using a 7.0 T small animal magnetic resonance imaging system before and after the injection.A total of 6 healthy male SPF-grade Sprague Dawley(SD)rats were selected to establish a right middle cerebral artery occlusion(rMCAO)model to simulate ischemic stroke.The rats were injected with NaGdF4 nano-contrast agent(0.1 mmol Gd3+/kg)via the tail vein.Before and after the injection,brain MRI images of the rats were obtained using a 7.0 T small animal magnetic resonance imaging system.The in vitro and in vivo biological safety of the nano contrast agent was verified through cytotoxicity and hemolysis experiments and HE staining.Results Uniform spherical oil-phase NaGdF4 nanocrystals with an average particle size of approximately(4.43±0.46)nm were successfully prepared.After ligand exchange,biocompatible water-phase nanocrystals were obtained with a hydrodynamic size of 16.1 nm and a surface potential of-1.9 mV.The relaxation performance of this nanocrystal contrast agent was significantly superior to that of the clinical contrast agent Gd-DTPA.The longitudinal molar relaxivity rate(r1)of the NaGdF4 nano contrast agent was 8.84 mM-1s-1,while the transverse molar relaxivity rate(r2)was 27.36 mM-1s-1,which were 1.96 times(4.52 mM-1s-1)and 3.37 times(8.13 mM-1s-1)those of Gd-DTPA,respectively.It also demonstrated excellent biocompatibility.NaGdF4-enhanced MRA achieved high-resolution vascular imaging and effectively enabled the differentiation of the ischemic area,infarct core,and ischemic penumbra in an animal model of ischemic stroke.Conclusion The multi-parameter MRA based on NaGdF4 nanoparticles provides critical imaging evidence for the clinical diagnosis and prognosis of ischemic stroke.

To investigate the malignant progression and molecular mechanism of KHSRP regulating esophageal squamous cell carcinoma(ESCC) through the JAK1/STAT3 signaling axis.

Objective:To search, screen and summarize the best evidence of screening and management of patients with post-stroke fatigue, and to provide basis for early identification of clinical staff.Methods:According to the "6S" pyramid model, the system searches for relevant evidence on post stroke fatigue screening and management from UpToDate, BMJ Best Practice, International Guidelines Collaboration Network, New Zealand Guidelines Collaboration Group, Ontario Registered Nurses Association website, Scottish Interhospital Guidelines Network, Joanna Briggs Institute Evidence Based Health Care Center database, and Yimaitong, National Stroke Foundation, Stroke Association, National Stroke Center, Cochrane Library, PubMed, Embase, CINAHL, CNKI, WanFang Datebase, VIP and CBM from January 2013 to March 2023 regarding screening and management of post stroke fatigue patients. Researchers screen literature, evaluate quality, and summarize evidence.Results:Fifteen articles were selected, including 1 clinical decision, 3 guidelines, 3 expert consensus, 2 evidence summary, 5 systematic review and 1 randomized controlled trial. A total of 22 best evidence items were summarized from seven aspects of screening assessment, risk factors, psychosocial intervention, activity and rest, health education, complementary therapy, and follow-up.Conclusions:The study summarized the best evidence for the screening and management of patients with post-stroke fatigue, so as to provide a more scientific and systematic approach to the management of post-stroke fatigue and provide a reference for improving the long-term quality of life of stroke patients.

From the perspectives of traditional Chinese medicine （TCM） information knowledge base and assisted decision-making knowledge base， the construction status， quality evaluation status and existing problems of current TCM knowledge bases have been sorted out. And based on the quality evaluation strategies and dimensions of know-ledge bases in other disciplines， the evaluation indexes for TCM knowledge base is discussed， and the evaluation framework is initially formed， providing ideas for the improvement of the TCM knowledge base evaluation system. In terms of the evaluation indexes， there are basic evaluation dimensions which include data sources， data collection， and data application. The specific evaluation dimension of the information-based knowledge base is data quality， while that of the assisted decision-making knowledge base is data matching. Except for the data application dimension which counts the valid data items in the database for calculation， other indexes are scored based on the qualitative evaluation of "yes"， "no" or "unknown". The basic evaluation score and the specific evaluation score are added to obtain the total score. The knowledge base is graded according to the score， and the results are presented in the form of grade plus number.