OBJECTIVE To explore the efficacy and safety of toludesvenlafaxine in the treatment of patients with major depressive disorder （MDD） with anhedonia. METHODS This retrospective study included 160 patients with MDD with anhedonia who were treated at Hebei Mental Health Center from May 2023 to August 2025. These patients were divided into a control group （ n ＝81） and an observation group （ n ＝79） according to treatment regimens. All patients received transcranial magnetic stimulation therapy. On this basis，the control group was treated with Sertraline Hydrochloride Tablets， while the observation group received Toludesvenlafaxine Hydrochloride Sustained-Release Tablets，with an 8-week continuous treatment course.To compare t he clinical total effective rate， anhedonia remission rate，the severity of depressive symptoms，degree of anhedonia，cognitive function，social function and quality of life between the two groups before and after treatment， the incidence of adverse reactions during treatment was recorded simultaneously. RESULTS After treatment，the total effective rate and anhedonia remission rate of the observation group were significantly higher than the control group （ P ＜0.05）. At the 4th and 8th weeks of treatment， the scores of Snaith-Hamilton Pleasure Scale， Hamilton Depression Rating Scale-17 Items， and Sheehan Disability Scale of both groups were significantly lower than those before treatment in the same group， and the observation group was significantly lower than the control group （ P ＜0.05）； the scores of Montreal Cognitive Assessment and Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form were significantly higher than those before treatment in the same group， and the observation group was significantly higher than the control group （ P ＜0.05）. There was no statistically significant difference in the overall incidence of adverse reactions between the two groups （ P ＞0.05）. CONCLUSIONS Toludesvenlafaxine can significantly improve depressive symptoms， cognitive function， and social function in MDD patients with anhedonia，with good safety.

High-field magnetic resonance imaging (MRI), typically referring to systems with a magnetic field strength of ≥ 3 Tesla (T), offers significant advantages over conventional MRI in terms of higher signal-to-noise ratio (SNR) and improved resolution. These advantages have opened new prospects for the assessment of kidney diseases. This review summarizes the application progress of high-field MRI in evaluating kidney diseases, focusing on advanced techniques for refined assessment of renal anatomy and function, including arterial spin labeling (ASL) perfusion imaging, blood-oxygen-level-dependent (BOLD) oxygenation imaging, sodium (23Na) imaging, and quantitative evaluation of renal fibrosis. Furthermore, the review explores the value of high-field MRI in the diagnosis of renal tumors and kidney stones, tumor characterization, and its role in supporting treatments such as percutaneous nephrolithotomy (PCNL). Specifically, high-field MRI provides new approaches for early diagnosis and accurate staging of renal tumors, as well as radiation-free detection, composition analysis, and preoperative planning for PCNL in kidney stones. Finally, the review discusses current technical challenges, practical issues such as equipment accessibility, and future development directions. High-field MRI is emerging as a powerful non-invasive tool, providing crucial support for improving the diagnosis, management, and research of kidney diseases.

ObjectiveType I interferon (IFN-I) signaling is essential for antiviral innate immunity, yet its sustained or excessive activation contributes to the pathogenesis of several autoimmune diseases and interferonopathies, such as systemic lupus erythematosus and Aicardi-Goutières syndrome. Current strategies targeting this pathway, exemplified by JAK inhibitors, act mainly on downstream signal transduction and provide limited direct control over upstream IFN-I production, while also carrying the risk of broad immunosuppression. Phyllanthus emblica L. has long been used in traditional medicine for inflammatory disorders, but the bioactive constituent responsible for its regulation of IFN-I signaling and the underlying molecular mechanism have not been clearly defined. This study aimed to identify the active anti-inflammatory component of P. emblica and to characterize its mechanism of action on the IFN-I pathway in macrophages. MethodsActive components ofP. emblica and their candidate targets were screened by network pharmacology using the TCMSP and DrugBank databases (oral bioavailability≥30%, drug-likeness≥0.18) and intersected with inflammation-related genes retrieved from public databases. The predicted interaction between EGCG and IFN-I pathway proteins (TBK1, IRF3, STAT1) was evaluated by molecular docking, with BX795 and GSK8612 used as reference TBK1 inhibitors. Mechanistic experiments were performed in THP-1-derived macrophages and primary bone marrow-derived macrophages (BMDM). Upstream signaling was activated by transfection of the nucleic acid analogs poly(I∶C) and poly(dA∶dT) or by lipopolysaccharide (LPS) stimulation, whereas downstream signaling was activated by exogenous IFN-β. An siRNA-mediated TREX1 knockdown model was used to mimic endogenous nucleic acid-driven interferonopathy. Expression of IFN-β1 and interferon-stimulated genes (ISGs) was measured by RT-qPCR, protein phosphorylation by Western blot, and IFN-β secretion by ELISA. Cellular thermal shift assay (CETSA) and drug affinity responsive target stability (DARTS) were used to probe the interactionbetween EGCG and IRF3. ResultsNetwork pharmacology identified (-)-epigallocatechin-3-gallate (EGCG) as a candidate IFN-I-suppressive constituent of P. emblica, with predicted binding to TBK1, IRF3, and STAT1. Molecular docking yielded binding energies of -9.2, -7.2, and -8.2 kcal/mol for TBK1, IRF3, and STAT1, respectively, indicating an affinity for TBK1 comparable to that of the reference inhibitors BX795 (-5.7 kcal/mol) and GSK8612 (-6.4 kcal/mol). EGCG suppressed IFN-β1 and ISG mRNA expression under poly (I∶C), poly (dA∶dT), and LPS stimulation in both THP-1 macrophages and BMDM. At the protein level, EGCG reduced the phosphorylation of TBK1 and IRF3 without affecting the levels of the upstream sensors cGAS and RIG-I, and lowered IFN-β secretion in a concentration-dependent manner. CETSA and DARTS showed that EGCG did not enhance the thermal stability or protease resistance of IRF3, indicating that its effect on IRF3 is indirect. Following IFN-β stimulation, prolonged EGCG treatment reduced STAT1 phosphorylation in a time-dependent manner without an apparent change in IRF9, and partially attenuated ISG transcription; this effect was not monotonicly concentration-dependent, and CXCL10 showed the most consistent suppression. In TREX1-knockdown cells, the elevated mRNA levels of ISG15, ISG56, and CXCL10 were reduced by EGCG. ConclusionEGCG suppresses IFN-I responses by concurrently inhibiting TBK1-IRF3-dependent IFN‑β production and JAK-STAT1-mediated downstream transcription. These in vitro findings provide a mechanistic basis for the anti-inflammatory use of P. emblica in traditional medicine and identify EGCG as a candidate for further evaluation in interferon-driven autoimmune disease models.

Objective: To analyze the mediating effects of coping styles and activities of daily living on social support and depressive symptoms among elderly patients with type 2 diabetes mellitus (T2DM), so as to provide evidence for promoting mental health in elderly T2DM patients. Methods: From March 2019 to June 2020, elderly T2DM patients aged ≥60 years were selected from 11 community health service centers in Taijiang and Gulou Districts, Fuzhou City using a multi-stage sampling method. Basic information such as gender and age was collected through self-designed questionnaires. Social support, depressive symptoms, coping styles (positive coping style and negative coping style), and activities of daily living (physical self-care ability and instrumental activities of daily living) were assessed using the Social Support Rating Scale, the Geriatric Depression Scale (Chinese version), the Simplified Coping Style Questionnaire, and the Activities of Daily Living Scale, respectively. The mediating effects of coping styles and activities of daily living on social support and depressive symptoms were analyzed using Process macro 4.1, and the significance of mediating effects was tested using the Bootstrap method. Results: A total of 2 013 elderly T2DM patients were surveyed, including 910 males (45.21%) and 1 103 females (54.79%). The scores of social support, positive coping style, negative coping style, physical self-care ability, and instrumental activities of daily living were (38.56±7.17), (30.93±6.81), (16.52±4.74), (6.20±1.10), and (8.71±2.50), respectively. The score of depressive symptoms was (8.14±4.97), and 622 cases were detected with depressive symptoms, with a detection rate of 30.90%. Mediating effect analysis showed that social support could directly affect depressive symptoms (β=-0.048, 95%CI: -0.063-0.033), and could also indirectly affect depressive symptoms through positive coping style (β=-0.014, 95%CI: -0.020-0.009), negative coping style (β=0.005, 95%CI: 0.002-0.009), and instrumental activities of daily living (β=0.002, 95%CI: 0.000-0.004), respectively. The mediating effects of positive coping style, negative coping style, and instrumental activities of daily living accounted for 25.45%, -9.09%, and -3.63% of the total effect, respectively. Conclusions Higher level of social support can directly reduce the risk of depressive symptoms among elderly T2DM patients, and also exert effects through indirect pathways of increasing positive coping, reducing negative coping, and delaying the decline of instrumental activities of daily living.

Fibroblast growth factors (FGFs) and their receptors, fibroblast growth factor receptors (FGFRs), constitute an essential signaling system that is widely involved in development, tissue homeostasis, and metabolic regulation. In recent years, advances in cryo-electron microscopy and protein engineering have shifted FGF-FGFR research from the traditional receptor activation paradigm toward a new framework centered on protein-protein interactions and receptor conformation-mediated signaling bias. This review summarizes the structural basis of FGF-FGFR protein interactions, with particular emphasis on the asymmetric dimer model, the distinct receptor recognition mechanisms of paracrine and endocrine FGFs, and recent progress in the receptor dimerization threshold model. It further discusses the molecular mechanisms underlying FGFR signaling bias and summarizes recent progress in the design of engineered FGF analogs and FGFR agonists, aiming to provide new theoretical insights for precision therapies for metabolic diseases.

BACKGROUND:Osteosarcoma has a complex pathogenesis and a poor prognosis.While advancements in medical technology have led to some improvements in the 5-year survival rate,substantial progress in its treatment has not yet been achieved. OBJECTIVE:To screen key molecular markers in osteosarcoma,analyze their relationship with osteosarcoma treatment drugs,and explore the potential disease mechanisms of osteosarcoma at the molecular level. METHODS:GSE99671 and GSE284259(miRNA)datasets were obtained from the Gene Expression Omnibus database.Differential gene expression analysis and Weighted Gene Co-expression Network Analysis(WGCNA)on GSE99671 were performed.Functional enrichment analysis was conducted using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes separately for the differentially expressed genes and the module genes with the highest positive correlation to the disease.The intersection of these module genes and differentially expressed genes was taken as key genes.A Protein-Protein Interaction network was constructed,and correlation analysis on the key genes was performed using CytoScape software,and hub genes were identified.Hub genes were externally validated using the GSE28425 dataset and text validation was conducted.The drug sensitivity of hub genes was analyzed using the CellMiner database,with a threshold of absolute value of correlation coefficient|R|>0.3 and P<0.05. RESULTS AND CONCLUSION:(1)Differential gene expression analysis identified 529 differentially expressed genes,comprising 177 upregulated and 352 downregulated genes.WGCNA analysis yielded a total of 592 genes with the highest correlation to osteosarcoma.(2)Gene Ontology enrichment results indicated that the development of osteosarcoma may be associated with extracellular matrix,bone cell differentiation and development,human immune regulation,and collagen synthesis and degradation.Kyoto Encyclopedia of Genes and Genomes enrichment results showed the involvement of pathways such as PI3K-Akt signaling pathway,focal adhesion signaling pathway,and immune response in the onset of osteosarcoma.(3)The intersection analysis revealed a total of 59 key genes.Through Protein-Protein Interaction network analysis,8 hub genes were selected,which were LUM,PLOD1,PLOD2,MMP14,COL11A1,THBS2,LEPRE1,and TGFB1,all of which were upregulated.(4)External validation revealed significantly downregulated miRNAs that regulate the hub genes,with hsa-miR-144-3p and hsa-miR-150-5p showing the most significant downregulation.Text validation results demonstrated that the expression of hub genes was consistent with previous research.(5)Drug sensitivity analysis indicated a negative correlation between the activity of methotrexate,6-mercaptopurine,and pazopanib with the mRNA expression of PLOD1,PLOD2,and MMP14.Moreover,zoledronic acid and lapatinib showed a positive correlation with the mRNA expression of PLOD1,LUM,MMP14,PLOD2,and TGFB1.This suggests that zoledronic acid and lapatinib may be potential therapeutic drugs for osteosarcoma,but further validation is required through additional basic experiments and clinical studies.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Hepatic ischemia/reperfusion injury (IRI) remains a critical complication contributing to graft dysfunction following liver surgery. As part of an ongoing search for hepatoprotective natural products, five previously unreported homoadamantane-type polycyclic polyprenylated acylphloroglucinols (PPAPs), named hyperhomanoons A-E (1-5), and one known analog, hypersampsone O (6), were isolated from Hypericum patulum. Among these, compound 6 demonstrated potent protective effects against CoCl₂-induced hypoxic injury in hepatocytes. Furthermore, in a murine model of hepatic IRI induced by vascular occlusion, pretreatment with 6 markedly alleviated liver damage and reduced hepatocyte apoptosis. This study is the first to identify PPAPs as promising scaffolds for the development of therapeutic agents targeting hepatic IRI, underscoring their potential as lead compounds in drug discovery efforts for ischemic liver diseases.
Reperfusion Injury/prevention & control* ; Animals ; Hypericum/chemistry* ; Phloroglucinol/administration & dosage* ; Mice ; Humans ; Male ; Liver/blood supply* ; Apoptosis/drug effects* ; Molecular Structure ; Protective Agents/pharmacology* ; Hepatocytes/drug effects* ; Mice, Inbred C57BL ; Liver Diseases/drug therapy*