Uveal melanoma(UM)is the most common primary intraocular malignancy in adults, characterized by high invasiveness and unique metastatic biological features. Although local treatments(such as proton beam therapy and brachytherapy)can effectively control the primary lesion, approximately 50% of patients eventually develop distant metastasis, with the liver being the primary target organ(occurring in 90% of cases). This highlights a paradigm shift in treatment focus from mere local control to systemic prevention and management. For metastatic UM(mUM), current treatment strategies encompass biomarker-guided molecular targeted therapy, immunotherapy(including Tebentafusp, vaccines, and oncolytic virus therapy), and liver-directed therapy. Focusing on the synergy between local and systemic prevention and control, this article systematically elaborates on the precision local treatment for primary UM, the decision-making pathway for systemic treatment of metastatic UM based on molecular subtyping, the integration of local and systemic therapies for liver metastases, and the translational value of nanomedicine in addressing therapeutic bottlenecks. It provides insights for optimizing clinical management of mUM and developing novel therapeutic strategies.

ObjectiveStarting from the etiology， pathogenesis， and treatment strategies of endometriosis and adenomyosis， to integrate and sort out the academic characteristics of contemporary renowned experts and schools in the field of traditional Chinese medicine gynecology. MethodsAccording to the systematic review of text and opinion （SrTO） process developed by the Joanna Briggs Institute （JBI） in Australia， this paper determined literature screening criteria by searching China National Knowledge Infrastructure （CNKI）， VIP， Wanfang， and China Biomedical Literature Database. Information was extracted after literature screening， and quality evaluation was conducted using the JBI Narrative， Text， and Opinion Systematic Review Strict Evaluation Checklist. The JBI Narrative， Opinion， Text Evaluation， and Review Tool Summary Table was used for information synthesis， and data analysis and display were conducted in the form of text and charts. ResultsThe 146 articles related to 39 renowned experts and 19 articles related to 10 schools of thought were included. Research has found that contemporary experts and schools in traditional Chinese medicine gynecology consider blood stasis as the core pathogenesis in understanding the etiology and pathogenesis of two diseases and related infertility. Their viewpoints varied from multiple aspects such as clinical symptom characteristics， meridian circulation location， pathological product evolution， disease duration， emotional psychology， lifestyle habits， preference for food and drink， innate endowment， and acquired injury. In terms of treatment， it was advocated to divide the stage， treat according to different types， adapt to the times， integrate nature and humans， and combine multiple methods to treat comprehensively when necessary. It was also recommended to skillfully use insects， make good use of classic formulas and small prescriptions， pay attention to protecting the spleen and stomach and regulating emotions， and make good use of self-formulated empirical formulas for internal or external use. Besides， individualized long-term management of patients was also advocated. ConclusionThis study applies the SrTO process to systematically summarize the academic ideas of contemporary renowned experts and schools in traditional Chinese medicine gynecology regarding the causes， mechanisms， diagnosis， and treatments of endometriosis， providing a scientific and standardized reference for future theoretical exploration.

Reactive astrocytes, which exhibit a correlation with the degeneration of dopaminergic neurons, are present in a considerable number during the progression of Parkinson's disease (PD). However, the underlying factors shaping astrocyte reactivity and neuroinflammation in PD remain inadequately elucidated. Here, we demonstrate that fibroblast growth factor 7 (FGF7)/FGF receptor 2 (FGFR2) autocrine signaling intensifies astrocyte reactivity and inflammation. Genetic deletion of Arrb2, β-Arrestin2 encoding gene, led to escalated astrocyte reactivity in MPTP-treated mice, which was further substantiated in astrocyte-specific Arrb2 knockdown mice. RNA sequencing profiling of Arrb2 knockout astrocytes identified Fgf7 as a critical effector of astrocyte reactivity. Subsequently, conditional knockdown of Fgf7 and its receptor Fgfr2 in astrocytes elicited advantageous effects for MPTP-treated mice by restraining the inflammatory phenotypic transition of reactive astrocytes. Furthermore, deletion of astrocytic Fgf7 mitigated MPTP-induced pathology in Arrb2 knockout mice. Mechanistically, STAT1 was distinguished as the transcription factor suppressing Fgf7 expression, while β-Arrestin2 counteracted the proteasomal degradation of STAT1 by binding to RNF220, an E3 ubiquitin ligase for STAT1. More importantly, selectively engaging dopamine D2 receptor (Drd2)/β-Arrestin2-biased signaling using the agonist UNC9995 exhibited therapeutic potential in MPTP-treated mice via moderation of astrocytic FGF7 production, thereby restoring balance in astrocyte reactivity. Collectively, our study bridges a crucial knowledge gap by elucidating the novel functions of FGF family members within the central nervous system, particularly within the context of PD. The autocrine signaling of FGF7/FGFR2 represents a novel mechanism and a potential druggable target for modulating astrocyte-derived inflammation.

Cancer multidrug resistance (MDR) impairs the therapeutic efficacy of various chemotherapeutics. Novel approaches, particularly the development of MDR reversal agents, are critically needed to address this challenge. This study demonstrates that tenacissoside I (TI), a compound isolated from Marsdenia tenacissima (Roxb.) Wight et Arn, traditionally used in clinical practice as an ethnic medicine for cancer treatment, exhibits significant MDR reversal effects in ABCB1-mediated MDR cancer cells. TI reversed the resistance of SW620/AD300 and KBV200 cells to doxorubicin (DOX) and paclitaxel (PAC) by downregulating ABCB1 expression and reducing ABCB1 drug transport function. Mechanistically, protein arginine methyltransferase 1 (PRMT1), whose expression correlates with poor prognosis and shows positive association with both ABCB1 and EGFR expressions in tumor tissues, was differentially expressed in TI-treated SW620/AD300 cells. SW620/AD300 and KBV200 cells exhibited elevated levels of EGFR asymmetric dimethylarginine (aDMA) and enhanced PRMT1-EGFR interaction compared to their parental cells. Moreover, TI-induced PRMT1 downregulation impaired PRMT1-mediated aDMA of EGFR, PRMT1-EGFR interaction, and EGFR downstream signaling in SW620/AD300 and KBV200 cells. These effects were significantly reversed by PRMT1 overexpression. Additionally, TI demonstrated resistance reversal to PAC in xenograft models without detectable toxicities. This study establishes TI's MDR reversal effect in ABCB1-mediated MDR human cancer cells through inhibition of PRMT1-mediated aDMA of EGFR, suggesting TI's potential as an MDR modulator for improving chemotherapy outcomes.
Humans ; Protein-Arginine N-Methyltransferases/antagonists & inhibitors* ; Drug Resistance, Neoplasm/drug effects* ; ErbB Receptors/genetics* ; Animals ; Cell Line, Tumor ; Drug Resistance, Multiple/drug effects* ; Methylation/drug effects* ; Saponins/administration & dosage* ; Mice ; Mice, Nude ; Mice, Inbred BALB C ; ATP Binding Cassette Transporter, Subfamily B/genetics* ; Doxorubicin/pharmacology* ; Paclitaxel/pharmacology* ; Female ; Repressor Proteins

Objective: To investigate the effects of usnic acid(UA) on proliferation, cell cycle, apoptosis and autophagy of lung cancer cells A549 and NCI-H358. Methods: The CCK-8 method was used to detect the inhibitory effect of UA on two kinds of lung cancer cells proliferation. Flow cytometry was used to detect the cell cycle arrest effect of UA on two types of lung cancer cells. The fluorescence amount of UA-induced reactive oxygen species(ROS) in two kinds of lung cancer cells were detected by DCFH-DA probe assay and flow cytometry. Western blot was used to detect the expression of apoptosis related proteins Bax, Caspase-3, Cleaved-Caspase-3, and autophagy related proteins LC3-Ⅰ and LC3-Ⅱ in two types of lung cancer cells after treatment with UA and UA+ROS inhibition. Results: (1) Usnic acid reduced the survival rates of two types of cells and had a stronger ability to inhibit the proliferation of A549 cells than NCI-H358 cells.(2) Usnic acid blocked A549 cells in the G0/G1phase, while NCI-H358 cells in the G2/M and S phases.(3) Usnic acid induced an increase in ROS content in two types of cells. Compared to A549, NCI-H358 cells showed a greater increase in ROS, and the ROS inhibitor reduced the intracellular ROS increase induced by UA.(4) Usnic acid induced high expression of apoptosis-related proteins Bax and Cleaved Caspase-3 and increased the ratio of autophagy-related proteins LC3-Ⅱ/LC3-Ⅰ in both lung adenocarcinoma cells, and its pro-apoptotic and autophagic effects were stronger in A549 than in NCI-H358. After ROS inhibition, the expression levels of Bax and Cleaved Caspase-3 and the LC3-Ⅱ/LC3-Ⅰ ratio of both lung adenocarcinoma cells decreased, and the decrease was greater in NCI-H358 cells. Conclusion Usnic acid inhibits the proliferation of lung cancer A549 and NCI-H358 cells, induces cell cycle arrest, and induces apoptosis and autophagy in cancer cells. The inhibitory and killing effect of UA on A549 cells is stronger than that on NCI-H358 cells. In this case, the induced cell ROS are involved in the action of UA in two types of lung cancer cells. In contrast to A549 cells,ROS might play a more significant role in mediating the apoptosis and autophagy induced by usnic acid in NCI-H358 cells.

Objective To explore and organize the standards of rehabilitation big data. Methods The connotation and extension of rehabilitation big data were discussed based on International Classification of Functioning,Disability and Health(ICF)framework.Referring to the documents of Guidance on the analysis and use of routine health information systems rehabilitation module,Rehabilitation in health systems:guide for action,Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME),and Data quality assurance.Module 1.Framework and metrics,the sources,patterns,clas-sification systems and coding standards were discussed under the ICF theory,and the metadata standards were ex-plored.The application and management of rehabilitation big data standards were discussed according to Nation-al Health Medical Big Data Standards,Security and Service Management Measures(Trial). Results The rehabilitation big data included rehabilitation service data and personal health data,coming from population-based and institution-based data,covering macro,meso and micro levels.The pattern of rehabilitation data flow corresponded to the interaction and source of the entire process of rehabilitation service,to organize and manage rehabilitation big data.The classification system included object classes,object feature classes,participant role classes,relationship classes,and activity and event classes,each of which was further subdivided into subcatego-ries to cover the entities,features,roles,relationships and activities involved in the rehabilitation process.The metadata standards included three levels:core,general and specialized metadata,ensuring standardized manage-ment,sharing and interoperability of rehabilitation data. Conclusion This study delves into the standardization of rehabilitation big data based on the ICF framework,encompass-ing multiple dimensions such as the connotation and extension of rehabilitation big data,data sources,data mod-els,classification systems,coding standards,and metadata standards.The construction of a rehabilitation big data standard system involves standardization efforts in various aspects,including data content,data structure,data coding,and metadata.These standards not only adhere to the norms of data flow,but also take into account the complexity of data composition.This system aligns with health big data standards,ensuring data consistency,ac-curacy,and interoperability,thus providing a foundation for effective exchange and comparison between different data sources.The establishment of a rehabilitation big data standard system not only ensures the standardized pro-cessing of rehabilitation big data,but also lays a solid foundation for effective exchange between rehabilitation big data and other health data,as well as for the widespread application of rehabilitation big data.This provides crucial support for improving the quality and efficiency of rehabilitation services,ensuring that patients receive appropriate care,rehabilitation and support.It holds significant theoretical and practical implications for promot-ing the development of the rehabilitation field.

Objective:To investigate the levels of osteoporosis-related biomarkers in individuals with subclinical hypothyroidism complicated by type 2 diabetes mellitus.Methods:A cross-sectional study. From January 2021 to June 2022, 40 patients with subclinical hypothyroidism, 40 patients with type 2 diabetes, 40 patients with type 2 diabetes complicated with subclinical hypothyroidism, and 40 individuals receiving physical examination in Shanxi Bethune Hospital were selected as subjects in this study. The glucose and lipid metabolism indexes and bone metabolism indexes of the subjects were detected, and the differences and correlations of the metabolic indexes among the groups were analyzed by t-tests, nonparametric tests or correlation analysis. Results:Compared with healthy group, beta C-terminal cross-linked telopeptides of type Ⅰ collagen (β-CTX) level in type 2 diabetes group was higher [(344.60±125.61) vs (227.56±68.33) pg/ml] ( t=-5.176, P<0.001), osteocalcin (OC) and total procollagen type 1 aminoterminal peptide (t-PINP) were both lower [(15.76±4.70) vs (28.02±5.83)ng/ml, (43.49±13.63) vs (59.58±15.80) ng/ml] ( t=10.352, t=4.874, P<0.001). The β-CTX level in type 2 diabetes patients complicated with hypothyroidism was higher than that in patients with simple subclinical hypothyroidism [(380.51±122.22) vs (212.41±44.17) pg/ml] ( t=-8.180 ,P<0.001), but the levels of OC and t-PINP were both lower [(13.67±4.06) vs (26.12±4.55) ng/ml, (38.76±9.53) vs (61.50±12.31) ng/ml] ( t=12.897, P<0.001); but there was no significant difference in the three biomarkers between patients with type 2 diabetes mellitus complicated by subclinical hypothyroidism and those with type 2 diabetes mellitus alone. [β-CTX: (380.51±122.22) vs (344.60±125.61) pg/ml, OC: (13.67±4.06) vs (15.76±4.70) ng/ml, t-PINP: (38.76±9.53) vs (43.49±13.63) ng/ml] ( t=1.296,1.890,-1.799 ,all P>0.05). In the patients with type 2 diabetes mellitus complicated by subclinical hypothyroidism, the β-CTX was positively correlated with fasting blood glucose (FBG) and glycosylated hemoglobin (HbA1c)( r=0.293,0.487,all P<0.05), while OC and t-PINP were negatively correlated with FBG and HbA1c ( r=-0.560,-0.502,-0.289,-0.326, P<0.05). Conclusion:Changes of serum osteoporosis-related biomarkers in subclinical hypothyroidism patients with type 2 diabetes indicate the increased risk of osteoporosis in those patients.

Objective:This study aimed to explore the effect of Vaspin on adipose tissue macrophage polarization and its underlying mechanism.Methods:Fifty male SD rats, aged 8 weeks, were chosen and randomly allocated into three groups: the normal control(NC), the type 2 diabetes(T2DM), and various concentrations of Vaspin intervention(V1: 480 ng/kg, V2: 960 ng/kg, V3: 1 440 ng/kg). Vaspin was administered via intraperitoneal injection for 8 weeks. Glucose tolerance and insulin sensitivity were evaluated via intraperitoneal glucose tolerance test(IPGTT), intraperitoneal insulin tolerance test(IPITT) and hyperinsulinemic-euglycemic clamp. Adipose tissue inflammation and macrophage polarization were assessed using immunofluorescence, RT-PCR and western blotting.Results:After 8 weeks of intervention, there were no statistically significant differences in body weight and blood lipid levels among groups. IPGTT, IPITT, and hyperinsulinemic-euglycemic clamp experiments demonstrated that Vaspin intervention improved blood glucose and insulin sensitivity, exhibiting a dose-dependent manner( P<0.05). IF and RT-PCR showed that Vaspin downregulated the expression of CD11c, IL-1β, and TNF-α in eWAT, while upregulating the expression of CD206, IL-10, and PPARγ, which correlated with Vaspin concentration( P<0.05). ELISA revealed that Vaspin intervention reduced the concentrations of IL-1β and TNF-α in serum, while increasing the concentration of IL-10( P<0.05). Western blotting demonstrated that Vaspin downregulated iNOS protein expression, while upregulating Arg1, p-Akt, and PPARγ expression in a dose-dependent manner( P<0.05). Conclusion:Vaspin promotes M2 polarization of adipose tissue macrophages via PPARγ pathway, leading to reduced inflammation and improved insulin sensitivity in T2DM rats.

OBJECTIVE To review the current research progress on pharmacoeconomics evaluation related to spinal muscular atrophy （SMA）， in order to provide valuable insights for clinical treatment， screening and medical insurance payment decision- making. METHODS A computerized search was conducted across multiple databases including PubMed， Web of Science， Embase， Scopus， Cochrane Library， EBSCOhost， CNKI， VIP， CBM and Wanfang database as well as other important health technology assessment （HTA） websites， such as National Institute for Health and Care Research，International Society of Technology Assessment in Health Care， Agency for Healthcare Research and Quality， etc. The pharmacoeconomics evaluation studies related to SMA were collected from the inception to December 31st， 2023. The literature/reports were rigorously screened based on predefined inclusion and exclusion criteria by two researchers， and the essential information from the included literature/ reports was extracted using Excel 2019. The quality of the included literature/reports was evaluated by Consolidated Health Economic Evaluation Reporting Standards 2022. RESULTS Finally， 9 articles and 15 HTA reports were included， with overall good quality of literature， but poor quality of HTA reports. There were a total of 24 studies on the pharmacoeconomics evaluation of SMA， including treatment options such as nusinersen sodium， sovaprevir， risperidone， and best supportive therapy.The review results showed that nusinersen sodium was not cost-effective in the treatment of SMA； there was no consensus on the economic viability of treatment options such as risperidone and sovaprevir； newborn/prenatal screening combined withmedication therapy was cost-effective. CONCLUSIONS newborn/prenatal screening combined with SMA medication therapy demonstrates economic advantages. It is suggested to further investigate the cost-effectiveness of new SMA drugs and SMA screening in China， taking localization parameters and medical insurance prices into account， and gradually incorporate SMA screening into the scope of neonatal genetic disease detection， in order to alleviate the financial burden of patients’ families and healthcare systems.

Objective:The purpose of this study is to explore the clinical characteristics of Coronavirus Disease 2019 (COVID-19) in patients with type 2 diabetes mellitus (T2DM), and analyze the risk factors for adverse outcomes.Methods:2 052 patients diagnosed with COVID-19 who were hospitalized in Shanxi Bethune Hospital between December 1, 2022 and March 20, 2023 were included. They were divided into diabetes group ( n=70) and non-diabetes group ( n=1 982) according to the presence or absence of comorbid T2DM. The two groups were matched at 1:1 via propensity score matching. Clinical characteristics and laboratory examination results of the two groups were compared. According to the outcomes during hospitalization, the two groups were further divided into two subgroups respectively. Univariate analysis and subsequent binary Logistic regression was used to analyze the risk factors of adverse outcomes in patients with COVID-19 and type 2 diabetes. Results:After the propensity score matching, the most common comorbid condition in diabetes group and non-diabetes group was hypertension. The proportion of patients with severe or critical disease in diabetes group was higher compared with non-diabetes group. The levels of hemoglobin A1c (HbA1c), fasting blood glucose (FBG), blood urea, IL-4, IL-6, IL-10, IFN-γ and TNF-α were significantly higher in the diabetes group ( P<0.05). Logistic regression analysis within the diabetes group showed that hypertension ( OR=3.640, 95% CI: 3.156 to 4.290), FBG>11 mmol/L ( OR=3.283, 95% CI: 1.416 to 7.611), HbA1c>10% ( OR=2.718, 95% CI: 1.024 to 7.213) were independent risk factors for adverse outcomes in patients with COVID-19 and type 2 diabetes(all P<0.05). Conclusions:Compared with the non-diabetes group, patients with COVID-19 and T2DM have worse inflammatory response and higher levels of inflammatory cytokines. The elevated levels of FBG and HbA1c are related to the adverse outcome in patients with COVID-19 and T2DM.