Biomolecular condensates are formed through phase separation of biomacromolecules such as proteins and RNAs. These condensates exhibit liquid-like properties that can futher transition into more stable material states. They form complex internal structures via multivalent weak interactions, enabling precise spatiotemporal regulations. However, the use of inconsistent and non-standardized terminology has become increasingly problematic, hindering academic exchange and the dissemination of scientific knowledge. Therefore, it is necessary to discuss the terminology related to biomolecular condensates in order to clarify concepts, promote interdisciplinary cooperation, enhance research efficiency, and support the healthy development of this field.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

AIM:To investigate the role of serum high-sensitivity C-reactive protein(hsCRP)in the pathogenesis and progression of diabetic retinopathy(DR)in patients with type 2 diabetes mellitus(T2DM).METHODS:A nested case-control study was conducted involving 187 T2DM patients(187 eyes)who attended at Eye Center, Beijing Tongren Hospital, Capital Medical University from June 2017 to October 2024. Patients were categorized into three groups: the diabetes mellitus(DM)group, non-proliferative DR(NPDR)group, and proliferative DR(PDR)group. Baseline information was collected, including age, sex, duration of DM, and duration of hypertension. All patients underwent fasting biochemical tests and comprehensive ophthalmic examinations.RESULTS: A positive correlation was observed between hsCRP and fasting blood glucose(FBG; P=0.004)and glycated hemoglobin A1c(HbA1c; P=0.048)by Spearman's rank correlation coefficient analysis. After adjusting for confounding factors, multivariable Logistic regression identified hsCRP as a significant risk factor for DR(OR=2.67, 95% CI: 1.19-5.96, P=0.017). CONCLUSION:Serum hsCRP is positively correlated with FBG and HbA1c and can serve as an important predictor of the severity of DR.

Objective: To investigate the differences and diversity changes in gut microbiota between children and adolescents with constipation and diarrhea, and healthy individuals, and to explore the correlation between changes in stool consistency and gut microbiota, in order to provide a scientific reference for the research on intestinal microecology among children and adolescents. Methods: From October 2021 to March 2022, a total of 42 children and adolescents with constipation and 37 with diarrhea from a tertiary hospital in Hangzhou City, and 43 healthy individuals from 3 primary and secondary schools were included in this study. Fecal samples of children and adolescents were collected and then stool genomic DNA was extracted for 16S rRNA gene high throughput sequencing, and the sequencing results were analyzed. In the analysis of alpha diversity, the Kruskal-Wallis rank sum test was used to compare the differences between the three groups, and the FDR multiple testing correction was used for pairwise comparisons. In the analysis of beta diversity, the Adonis test was used to compare the overall differences between the three groups, and the ANOSIM test was used for pairwise comparisons. In the LEfSe analysis, the LDA scores obtained through LDA analysis (linear regression analysis). Results: Alpha diversity analysis showed that there were statistically significant differences in the Shannon index (4.01, 3.81, 4.19) and Simpson index (0.05, 0.06, 0.04) between the diarrhea group, constipation group, and healthy group ( H=6.05, 6.35, P <0.1). Further pairwise comparison showed that the Shannon index and Simpson index of the healthy group were higher than those of the constipation group ( P <0.1). Beta diversity analysis showed that the impact of grouping factors on inter group differences was statistically significant ( R 2=0.045, P <0.1). Community composition analysis showed that there were 234 species in total among the three groups, and 36 unique species in the healthy group, 36 species in the diarrhea group, and 48 species in the constipation group. Species difference analysis showed significant differences in species composition at the genus level among the three groups ( H=0.000 05, 0.000 16, 0.000 20, 0.000 21, 0.000 53, 0.001 39, P <0.1), including Lachnospiraceae of Firmicutes phylum, Eubacterium hallii, Veillonellaceae, Qscillospiraceae, Butyricicoccaceae and Staphylococcaceae, respectively. KEGG abundance statistics and COG functional analysis showed that there were no significant differences in gene expression abundance of the same function among the three groups ( P >0.1). Conclusions The different stool consistency of children and adolescents is related to changes in gut microbiota composition. Compared to the healthy group, children with constipation or diarrhea have disrupted gut microbiota balance, with a shift in dominant bacteria and a higher abundance of opportunistic pathogens.

Chinese materia medica has a wide range of clinical applications， but it has many active ingredients with different physicochemical properties， and the target organs， action pathways and mechanisms for different ingredients to exert their efficacy are not the same. Therefore， it is difficult to design and develop a co-delivery system loading multiple components of Chinese materia medica to maximize the synergistic therapeutic efficiency. Based on the characteristics of effectiveness and functionality of active ingredients， the strategies for multi-component co-delivery of Chinese materia medica can be categorized into two types：firstly， based on the effectiveness of active ingredients， new carriers such as liposomes， nanoparticles can be constructed to load multi-components of Chinese materia medica. secondly， based on the functionality of some active ingredients of Chinese materia medica， they are employed in the construction of co-delivery system， which can give play to the dual characteristics of their own efficacy and preparation functions. In this paper， we summarized the relevant research progress of the above two types of multi-component co-delivery strategies， and mainly discussed the pharmaceutical functions of the active ingredients in co-delivery systems， in order to find a more suitable multi-component co-delivery strategy， promoting the design and development of new delivery systems of Chinese materia medica.

ObjectiveThis study aimed to identify a potential miRNA-mRNA axis in neurofibromatosis type 2 (NF2)-negative meningiomas, investigate their target relationships, and determine their biological functions. MethodsThe GSE17792 dataset, which contains data related to NF2-negative meningiomas, was downloaded from the Gene Expression Omnibus (GEO) database. The limma package of R software was used to determine the differentially expressed miRNAs (DeMiRNAs). The miRWalk 2.0 database was applied to obtain the target genes of DeMiRNAs. The Search Tool for the Retrieval of Interacting Genes (STRING) database was utilized to build protein-protein interaction (PPI) networks, and hub genes were identified via Cytoscape software. The expression and biological roles of the screened miRNAs were further validated. ResultsAltogether, 86 DeMiRNAs, consisting of 52 upregulated and 34 downregulated miRNAs, were found in NF2-negative meningioma tumor samples compared with arachnoid tissue controls. Fourteen miRNAs associated with 274 target genes were identified among these DeMiRNAs, and miRNA-target gene networks were constructed based on these data. Analysis with cytoHubba showed that two miRNAs (hsa-miR-650 and hsa-miR-623) were among the top 20 key hub genes in the PPI network. Further qRT-PCR experimental verification suggested that the expression of hsa-miR-650 was significantly higher in NF2-negative meningiomas than in normal brain tissues. Downregulation of hsa-miR-650 inhibited the proliferation and induced the apoptosis of NF2-negative meningioma cells. Finally, RAC1 was identified as a target of hsa-miR-650. ConclusionHsa-miR-650 acts as a tumor promoter and might function as a therapeutic target for patients with NF2-negative meningiomas.

Objective To observe the clinical efficacy of Tongfengke Granules combined with external treatment of TCM in acute gouty arthritis(AGA)with damp-heat accumulation type.Methods A total of 96 patients with AGA were divided into the experimental group and the control group according to random number table method,with 48 patients in each group.The control group received meloxicam treatment.On this basis,the experimental group was treated with Tongfengke Granules(1 bag at a time,three times a day,orally)combined with external therapy of TCM(once a day),and mobile continuing care.The treatment for both groups lasted for 2 weeks.The clinical efficacy of both groups was observed.Before and after the treatment,pain visual analogue scale(VAS),TCM syndrome scores,major symptom scores,and levels of serum uric acid(UA),interleukin-6(IL-6),erythrocyte sedimentation rate(ESR),C-reactive protein(CRP),platelet/lymphocyte ratio(PLR),as well as engagement in self-care ability scale(ESCA),general self-efficacy scale(GSES),negative psychological condition[self-rating depression scale(SDS),self-rating anxiety scale(SAS)]were measured.The adverse reactions in both groups were monitored.Results Totally 45 and 47 patients in the experimental group and control group were finally included respectively in the analysis.The total effective rate of the experimental group was 75.6%(34/45),while that of the control group was 63.8%(30/47),with statistical significance(P<0.05).Compared with before treatment,the VAS score and TCM syndrome score in the experimental group decreased significantly(P<0.05);after treatment,the VAS score and TCM syndrome score of the experimental group were lower than those of the control group(P<0.05).Compared with before treatment,the joint pain,joint tenderness,joint swelling,and joint mobility limitation scores in both groups were significantly decreased after treatment(P<0.05,P<0.01);after treatment,the scores of joint pain,joint tenderness,and joint swelling in the experimental group were lower than those in the control group(P<0.01).Compared with before treatment,the levels of UA,ESR,CRP and PLR in both groups decreased significantly after treatment(P<0.01);after treatment,the levels of UA,ESR,CRP and PLR in the experimental group were lower than those in the control group(P<0.05,P<0.01).Compared with before treatment,the experimental group showed significant improvement in ESCA,GSES and SAS after treatment(P<0.05,P<0.01),while the control group showed significant improvement in ESCA(P<0.01);after treatment,the ESCA and GSES of the experimental group were better than those of the control group(P<0.05,P<0.01).There was no statistical significance in safety indicators and incidence of adverse reactions between the two groups(P>0.05).Conclusion Tongfengke Granules combined with external treatment of TCM can significantly improve the clinical efficacy of AGA,reduces UA levels,significantly improves inflammatory response,and has anti-inflammatory,anti-inflammatory,and analgesic effects.

Objective:To explore the current situation of tacit knowledge sharing among nurses and analyze its influencing factors.Methods:From March to June 2023, convenience sampling was used to select 437 nurses from three ClassⅢ Grade A hospitals in Changsha as the research subject. The survey was conducted using the General Information Questionnaire, Tacit Knowledge Sharing Scale, Person-Organization Fit Assessment Scale for Nurses, and Maslach Burnout Inventory. The R software randomForest package was used to construct a random forest model and rank the importance of factors influencing tacit knowledge sharing; LASSO analysis was used for variable selection, and the selected variables were analyzed for influencing factors using multiple linear regression.Results:A total of 437 questionnaires were distributed, and 434 valid questionnaires were collected, with an effective response rate of 99.31% (434/437). The Tacit Knowledge Sharing Scale score of 434 nurses was (13.09±3.03). The random forest algorithm showed that the top four independent variables in importance ranking were occupational burnout, professional title, working years, and person-organization fit. Multiple linear regression analysis indicated that occupational burnout, professional title, and person-organization fit were the main influencing factors of tacit knowledge sharing among nurses ( P<0.01) . Conclusions:The tacit knowledge sharing among nurses needs to be improved. Nursing managers can enhance the tacit knowledge sharing among nurses by reducing their professional burnout, improving the system of professional title promotion, and enhancing the fit between persons and organizations.