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.

Metabolic-associated fatty liver disease (MAFLD) and osteoporosis (OP) are two very common metabolic diseases. A growing body of experimental evidence supports a pathophysiological link between MAFLD and OP. MAFLD is often associated with the development of OP. Rutaecarpine (RUT) is one of the main active components of Chinese medicine Euodiae Fructus. Our previous studies have demonstrated that RUT has lipid-lowering, anti-inflammatory and anti-atherosclerotic effects, and can improve the OP of rats. However, whether RUT can improve both fatty liver and OP symptoms of MAFLD mice at the same time remains to be investigated. In this study, we used C57BL/6 mice fed a high-fat diet (HFD) for 4 months to construct a MAFLD model, and gave the mice a low dose (5 mg·kg^-1) and a high dose (15 mg·kg^-1) of RUT by gavage for 4 weeks. The effects of RUT on liver steatosis and bone metabolism were then evaluated at the end of the experiment [this experiment was approved by the Experimental Animal Ethics Committee of Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences (approval number: IMB-20190124D₃03)]. The results showed that RUT treatment significantly reduced hepatic steatosis and lipid accumulation, and significantly reduced bone loss and promoted bone formation. In summary, this study shows that RUT has an effect of improving fatty liver and OP in MAFLD mice.

Objective:To apply bioinformatics methods to screen and analyze differentially expressed genes and biological processes specific to peripheral blood mononuclear cells in postmenopausal women with osteoporosis.Methods:From the Gene Expression Omnibus database, GSE56814, GSE56815, and GSE2208 datasets were screened as the research objects. The limma package in R language was used to screen differentially expressed genes, and the multigene Meta-analysis function in Metascape platform was utilized to perform enrichment analysis of gene ontology and pathway. Protein-protein interaction network construction, module analysis, core gene, and enrichment analysis will be carried out.Results:In the GSE56814 dataset, there were 84 significantly up-regulated genes and 73 significantly down-regulated genes. In the GSE56815 dataset, there were 8 significantly up-regulated genes and 33 significantly down-regulated genes. In the GSE2208 dataset, there were 21 significantly up-regulated genes and 10 significantly down-regulated genes. The multigene Meta-analysis identified 3 modules and 19 core genes in the Metascape platform. The core genes of MCODE1 included STXBP2, EIF2S2, EIF3J, PTPN6, FLNA, HLA- DQA1, CTSD, HSPA6, HLA- DPB1, EIF3E, PLEC. They mainly enriched formation of cytoplasmic translation initiation complex, antigen processing and presentation of exogenous peptide antigen via major histocompatibility complex Ⅱ, cytoplasmic translational initiation, nsp1 from SARS-CoV-2 inhibits translation initiation in the host cell, programmed cell death 1 signaling pathway, allograft rejection reaction. The core genes of MCODE2 included FOS, FOSB, EGR1, EGR2, JUNB. They mainly enriched RNA polymerase Ⅱ-specific, DNA-binding transcription activator activity, cellular response to salt, nerve growth factor-stimulated transcriptional pathways, nuclear kinase and transcription factor activation activation pathways, neurotrophic receptor tyrosine kinase 1 signaling pathway. The core genes of MCODE3 included CEBPA, H2AC6, SPI1. They mainly enriched transcriptional regulation of granulopoiesis. Conclusion:This study obtained a total of 3 modules, 19 core genes, and enriched them in the biological processes related to postmenopausal osteoporosis, providing new ideas and biological targets for exploring its occurrence pathogenesis and drug treatment.

In-depth study of the components of polymyxins is the key to controlling the quality of this class of antibiotics. Similarities and variations of components present significant analytical challenges. A two-dimensional (2D) liquid chromatography-mass spectrometr (LC-MS) method was established for screening and comprehensive profiling of compositions of the antibiotic colistimethate sodium (CMS). A high concentration of phosphate buffer mobile phase was used in the first-dimensional LC system to get the components well separated. For efficient and high-accuracy screening of CMS, a targeted method based on a self-constructed high resolution (HR) mass spectrum database of CMS components was established. The database was built based on the commercial MassHunter Personal Compound Database and Library (PCDL) software and its accuracy of the compound matching result was verified with six known components before being applied to genuine sample screening. On this basis, the unknown peaks in the CMS chromatograms were deduced and assigned. The molecular formula, group composition, and origins of a total of 99 compounds, of which the combined area percentage accounted for more than 95% of CMS components, were deduced by this 2D-LC-MS method combined with the MassHunter PCDL. This profiling method was highly efficient and could distinguish hundreds of components within 3 h, providing reliable results for quality control of this kind of complex drugs.

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.

In-depth study of the components of polymyxins is the key to controlling the quality of this class of antibiotics.Similarities and variations of components present significant analytical challenges.A two-dimensional(2D)liquid chromatography-mass spectrometry(LC-MS)method was established for screening and comprehensive profiling of compositions of the antibiotic colistimethate sodium(CMS).A high concentration of phosphate buffer mobile phase was used in the first-dimensional LC system to get the components well separated.For efficient and high-accuracy screening of CMS,a targeted method based on a self-constructed high resolution(HR)mass spectrum database of CMS components was established.The database was built based on the commercial MassHunter Personal Compound Database and Library(PCDL)software and its accuracy of the compound matching result was verified with six known components before being applied to genuine sample screening.On this basis,the unknown peaks in the CMS chromatograms were deduced and assigned.The molecular formula,group composition,and origins of a total of 99 compounds,of which the combined area percentage accounted for more than 95％of CMS components,were deduced by this 2D-LC-MS method combined with the MassHunter PCDL.This profiling method was highly efficient and could distinguish hundreds of components within 3 h,providing reliable results for quality control of this kind of complex drugs.

Objective To observe the value of shear wave elastography(SWE)for evaluating therapeutic effect of ultrasound-guided drug injection for muscle injury.Methods Eighty patients with unilateral muscle injury were retrospectively included,including 40 cases underwent ultrasound-guided drug injection(group A)and 40 cases underwent electromagnetic wave physiotherapy plus external application of Yunnan Baiyao Gao(group B).Pain intensity was assessed using visual analogue scale(VAS)before treatment and 3 weeks after the final treatment,while the Young modulus(E)value of the injured muscle was measured before treatment and 1,2 and 3 weeks after final treatment,and the improvements of VAS scores and E values were compared between groups.Results The total effective rate in group A(35/40,87.50%)was higher than that in group B(21/40,52.50%;P＜0.05).Before treatment,no significant difference of VAS score was found between group A(8.07±0.83)and group B(7.88±0.85)(P＞0.05).After treatment,VAS scores decreased in both groups(both P＜0.05),which in group A(2.30±1.07)was more obviously than that in group B(4.80±0.82)(P＜0.05).After treatment,E values of injury muscles increased significantly in both groups(P＜0.05),while group A had a greater increase in overall magnitude and overall rate than group B(P＜0.05).Conclusion Ultrasound-guided drug injection therapy had significant therapeutic effect for muscle injuries,which could be dynamically monitored with SWE.

Objective:To explore the relationship between mechanical ventilation based on volumetric guaranteed(VG)ventilation mode and weaning outcomes of neonatal respiratory distress syndrome(RDS).Methods:This study was a single-center prospective study,according to random number table method,129 neonatal with RDS who were admitted to our hospital from January 2022 to October 2024 were divided into control group(received pressure-controlled ventilation,n=64)and observation group(received pressure-controlled ventilation combined with VG,n=65).The duration of invasive ventilation,total duration of respiratory support,length of hospital stay,arterial blood gas parameters[partial pressure of carbon dioxide(PaCO2),pH value,partial pressure of oxygen(PaO2),PaO2/fraction of inspired oxygen(FiO2)],weaning time,extubation failure rate and incidence of complications were compared between the two groups.Results:The duration of invasive ventilation,the total duration of respiratory support,the weaning time and the length of hospital stay in the observation group were shorter than those in the control group,and the extubation failure rate and the incidence of complications were lower than those in the control group(P＜0.05).24 h,48 h after intervention,PaCO2 decreased,while pH value,PaO2 and PaO2/FiO2 increased.The PaCO2 in the observation group was lower than that in the control group,while the pH value,PaO2 and PaO2/FiO2 were higher than those in the control group(P＜0.05).Conclusion:Mechanical ventilation based on VG can shorten the mechanical ventilation time of neonatal with RDS,improve blood gas analysis indicators,and reduce weaning time,extubation failure rate and the risk of complications.

Objective:To screen inflammatory markers that can be used for the diagnosis and intervention evaluation of patients with chronic kidney disease(CKD)with depression,and to systematically study the therapeutic effect and safety of modified Chaihu Longgu Muli decoction in patients with CKD with depression.Methods:This study was a prospective study,a total of 120 patients with CKD who were diagnosed and treated in the Department of Nephrology,Chongqing Traditional Chinese Medicine Hospital from April 2023 to October 2024 were included.They were divided into CKD with depression(CKD-D)group and CKD without depression(CKD-N)group according to the diagnostic criteria by random number table method.The results of routine laboratory tests were collected,and the severity of depressive disorder was evaluated by Hamilton Depression Rating Scale-17(HAMD-17).The levels of interleukin-18(IL-18),interferon-γ(IFN-γ),β-thromboglobulin(β-TG),platlet factor-4(PF-4),eosinophil chemotactic factor(Eotaxin),soluble tumor necrosis factor receptor-2(sTNFR-2)and CD40 ligand(CD40L)in serum were quantitatively evaluated by liquid chip technology.Pearson correlation analysis was used to analyze the correlation between HAMD-17 scores and inflammatory markers with statistical differences in CKD patients with depression at different stages.The patients in CKD-D group were randomly divided into control group and treatment group.The control group was given basic treatment of CKD,while the treatment group was treated with modified Chaihu Longgu Muli decoction on the basis of the control group.After 8 weeks of continuous intervention,the clinical effective rate,the changes of effective inflammatory markers and the occurrence of adverse reactions were compared between the two groups.Results:In the CKD-D group and the CKD-N group,the difference of HAMD-17 score,serum phosphorus(P),serum creatinine(Scr),estimated glomerular filtration rate(eGFR),albumin(ALB),serum iron(Fe3+),C-reactive protein(CRP),IL-18,IFN-γ,sTNFR-2 indicators were statistically significant(P＜0.05).Multivariate Logistic regression analysis showed that in addition to HAMD-17 score(OR=1.259,P=0.006),SCr(OR=1.748,P=0.003),eGFR(OR=1.354,P=0.005),serum IL-18(OR=0.924,P=0.011)and IFN-γ(OR=0.859,P=0.031)levels were also independent influencing factors for CKD patients with depression.Pearson correlation analysis showed that there was a significant positive correlation between HAMD-17 score and IL-18,IFN-γ,sTNFR-2 and CD40L.The total clinical effective rate of the treatment group was higher than that of the control group,and the serum levels of IL-18 and IFN-γ in the treatment group were lower than those in the control group,the differences were statistically significant(P＜0.05),and no significant difference in the incidence of adverse reactions between the two groups(P＞0.05).Conclusion:IL-18 and IFN-γ can be used as effective serum markers for the diagnosis and treatment of depressive disorders in CKD patients.At the same time,the changes of serum levels of IL-18 and IFN-γ can be used to evaluate the severity of symptoms in CKD patients with depression at different stages to a certain extent.Modified Chaihu Longgu Muli decoction may improve CKD combined with depressive symptoms and improve the quality of life of patients by down-regulating the level of inflammatory factors.