Stroke is the leading cause of death and disability among adults in China， and its common complications include digestive system abnormalities， cognitive impairment， depression， stroke-associated pneumonia， and hemiplegia. The combination of traditional Chinese and Western medicine has great potential in treating post-stroke complications. Xinglou Chengqitang （XLCQT） is a representative prescription of alleviating the disease in the upper part by treating the lower part. It has definite therapeutic effect and high safety. Clinically， XLCQT is often used to treat stroke and its complications. However， the quantity and quality of clinical trials of XLCQT in treating post-stroke complications need to be improved. Additionally， since the basic research is weak， the material basis and multi-target mechanism for the efficacy of this prescription are unknown. This article reviews XLCQT in terms of the pharmacodynamic basis， medicinal properties， safety evaluation， and progress in clinical research and mechanisms in treating post-stroke complications. This article summarizes 22 key active ingredients of XLCQT in treating acute stroke complicated with syndrome of phlegm heat and fu-organ excess. Among these key active ingredients， resveratrol， kaempferol， luteolin， chrysoeriol， apigenin， （+）-catechin， and adenosine have good pharmacokinetic properties and high bioavailability. The mechanisms of XLCQT in treating post-stroke complications are complex， including inflammatory response， brain-gut axis， hypothalamic-pituitary-adrenal （HPA） axis， intestinal flora， neurotrophic factors， autophagy， oxidative stress， and free radical damage. This review helps to deeply understand the pharmacodynamic basis and mechanisms of XLCQT in treating post-stroke complications and provides a theoretical basis for the clinical application of XLCQT against post-stroke complications and the development of drugs.

Based on previous research on the promoting effect of dendrobium officinale polysaccharides (DOP) on hair growth, this study aimed to regulate the skin keratin penetration and hair follicle targeting ability of DOP through molecular weight and nano-carriers to enhance its therapeutic effect on androgenetic alopecia (AGA). Three molecular weight polysaccharides, namely high (DOP), medium (MDOP), and low (LDOP), were prepared by mannanase hydrolysis, and the corresponding liposomes (DOP-lip/MDOP-lip/LDOP-lip) were constructed. Studies have shown that DOP liposomes can effectively achieve follicular targeted delivery and promote efficient uptake by human dermal papilla cells through caveolin-mediated pathways. In the testosterone-induced AGA mouse model, LDOP-lip demonstrated excellent therapeutic effects, restoring the number and morphology of hair follicles to nearly normal levels. In summary, DOP liposomes show significant potential for promoting hair follicle repair through precise delivery and efficient cellular uptake.

Objective:To explore the role of curcumin (Cur) in improving IgA nephropathy (IgAN) and its related mechanisms.Methods:Fifty 7-month-old miR-23b knockout (miR-23b -/-) mice weighing (25±5) g were used to establish an IgAN disease model, and were randomly divided into IgAN group, IgAN+Cur (150 mg/kg) group and IgAN+Cur (300 mg/kg) group using simple randomisation. Sixteen healthy 7-month-old weighing (25±3) g C57BL/6J wild-type mice served as the normal control group. IgAN+Cur (150 mg/kg) and IgAN+Cur (300 mg/kg) groups were respectively gavaged continuously with 150 mg/kg Cur and 300 mg/kg Cur for 8 weeks, and the normal control and IgAN groups were gavaged continuously with an equal dose of 0.9% sodium chloride solution for 8 weeks. The samples of urine, serum, intestinal fluid, intestinal tissues, kidney tissues and liver tissues were collected from each group. In vitro experiments, human cloned colon adenocarcinoma (Caco-2) cells were divided into blank control (Ctrl), Ctrl+Cur (10 μmol/L), Ctrl+ Cur (60 μmol/L), tumor necrosis factor-α（TNF-α), TNF-α+Cur (10 μmol/L) and TNF-α+Cur (60 μmol/L) groups. Enzyme-linked immunosorbent assay was used to detect serum alanine transaminase, aspartate transaminase, secretory IgA (sIgA), creatinine, blood urea nitrogen, 24 h urine microalbumin, as well as sIgA, TNF-α, interleukin（IL)-6 and IL-1β in the intestinal fluids. HE staining was used to observe the effect of Cur on liver tissues, the hyperplasia of glomerular mesangial zone in kidney tissues and the morphological and structural changes of intestinal epithelial barrier, and the histopathological damage scores were performed respectively. PAS staining was used to observe the changes of glomerular basement membrane and mesangial matrix. Immunofluorescence was used to observe the deposition of immune complexes in the glomerular mesangial zone. Real-time quantitative PCR was used to detect the mRNA expression levels of B-cell activating factor ( BAFF) and a proliferation inducing ligand ( APRIL). Western blotting was used to detect the protein expression levels of tight junction proteins zonula occluden-1 (ZO-1) and occludin in the mouse intestinal tissues. The potential targets of Cur in IgAN were predicted. Western blotting was used to detect the protein expression levels of tight junction proteins, as well as Toll-like receptor 9 (TLR9), myeloid differentiation primary response protein (MyD88), nuclear factor-κB p65 (NF-κB p65) and p-NF-κB p65. Results:Genetic identification results revealed that all IgAN model mice exhibited the miR-23b -/- genotype, confirming successful model establishment. Seven-month-old mice were subsequently selected for Cur treatment. Histopathological analysis demonstrated no significant differences in hepatic tissue morphology across groups, with comparable liver histopathological injury scores and unaltered liver function parameters, thereby validating the safety of Cur administration. Compared with the normal control group, IgAN mice displayed elevated levels of serum sIgA, serum creatinine, blood urea nitrogen and 24 h urine microalbumin (all P<0.05). Renal pathological results revealed severe mesangial hypercellularity in glomeruli, higher glomerular injury scores, and notable glomerular mesangial deposits of IgA, IgG and complement C3 in IgAN mice (all P<0.05). Additionally, intestinal pathological alterations were observed, including structural changes in intestinal epithelium and Peyer's patches, accompanied by significantly higher intestinal histopathological injury scores in IgAN mice ( P<0.05). Intestinal epithelial expression levels of ZO-1 and occludin were significantly reduced, while sIgA, TNF-α, IL-1β and IL-6 in intestinal fluid were elevated (all P<0.05). Serum FITC fluorescence intensity was markedly increased, and intestinal tissue exhibited upregulated mRNA expression of BAFF and APRIL (all P<0.05). Following Cur treatment, serum sIgA level and renal function indices in mice showed partial recovery (all P<0.05). Renal pathological improvements included alleviated mesangial hypercellularity, reduced glomerular injury scores, and diminished glomerular immune complex deposition (all P<0.05). Intestinal pathologies, including epithelial and Peyer's patch lesions, were mitigated, with decreased intestinal histopathological injury scores ( P<0.05). Additionally, intestinal tight junction protein expression levels were upregulated, intestinal fluid sIgA level was reduced, inflammatory markers were attenuated, serum FITC fluorescence intensity was declined, and intestinal BAFF and APRIL mRNA expression levels were downregulated (all P<0.05). In vitro experiments demonstrated that TNF-α exposure reduced tight junction protein expression in Caco-2 cells, whereas Cur treatment reversed the effect (all P<0.05). Target prediction analysis revealed that Cur effectively bound to TLR9 structural domain in IgAN. Experimental validation confirmed that Cur treatment suppressed the upregulated protein expression levels of TLR9, MyD88, NF-κB p65 and p-NF-κB p65 in intestinal tissues of IgAN mice (all P<0.05). Conclusion:Cur has a significant effect in the treatment of IgAN and can regulate intestinal mucosal immunity by inhibiting the TLR9/MyD88/NF-κB signaling pathway, thereby reducing renal injury and protecting the kidneys.

Objective:To investigate the protective effect and its mechanism of proscillaridin A (PSD-A) on podocyte injury in lupus nephritis (LN).Methods:Molecular docking and surface plasmon resonance techniques were used to analyze the binding status of PSD-A to signal transducer and activator of transcription 1 (STAT1). The immortalized human podocyte injury model in the lupus group was induced by the serum of systemic lupus erythematosus patients, and the control and PSD-A intervention (2 nmol/L, 4 nmol/L) groups were also set up. Six female 12-week-old C57BL/6 mice were designated as the control group, and 12 female 12-week-old MRL/lpr lupus mice were randomly divided into lupus group and PSD-A intervention group by random number table method. The PSD-A intervention group was intraperitoneally injected with 5 mg/kg PSD-A, once per week for 6 consecutive weeks. While the control group and the lupus group were intraperitoneally injected with the same volume of the solvent without PSD-A. Western blotting and real-time quantitative PCR were employed to detect the relative protein and mRNA expression levels of podocin, STAT1, and interferon-induced protein with tetratricopeptide repeat 1 (IFIT1) in podocytes of each group. Enzyme-linked immunosorbent assay was used to detect the levels of serum anti-double strand DNA antibody and interferon-α in mice. Coomassie brilliant blue was used to detect the urinary protein level. HE, PAS, Masson and PASM staining and transmission electron microscopy were used to observe the pathological changes of renal tissues. Immunohistochemistry was used to examine the protein expression of podocin, STAT1 and IFIT1 in renal tissues.Results:Molecular docking and surface plasmon resonance techniques proved that PSD-A could bind to STAT1 protein and they exhibited a robust binding affinity. The podocyte experiments showed that, compared with the lupus group, the relative expression levels of podocin protein and mRNA in the PSD-A intervention group were upregulated, while the relative expression levels of STAT1 and IFIT1 protein and mRNA were downregulated (all P<0.05). The animal experiments showed that, compared with the lupus group, the serum levels of anti-double strand DNA antibody, interferon-α, and urinary protein in PSD-A intervention group were decreased, the pathological damage of renal tissues was alleviated, and the injury of renal podocytes was reduced. Immunohistochemical staining showed that the relative protein expression levels of STAT1 and IFIT1 of renal tissues in the PSD-A intervention group were lower than those in the lupus group (all P<0.05). Conclusion:PSD-A can play a protective role in podocyte injury in LN, and its mechanism may be related to the inhibition of the STAT1 signaling pathway.

Objective:To investigate the prognostic factors for esophageal cancer after radical resection and the application value of machine learning prediction model.Methods:The retrospective cohort study was conducted. The clinicopatholigical data of 406 esophageal cancer patients who were admitted to Qilu Hospital of Shandong University from January 2018 to March 2022 were collected. There were 357 males and 49 females, aged (64±8)years. All patients underwent radical resection of esophageal cancer. The 406 patients were randomly divided into a training set of 285 cases and a validation set of 121 cases at a 7∶3 ratio based on a random number table. The training set was used to construct prediction model, and the validation set was used to validate prediction model. Patients were divided into high-risk group and low-risk group based on risk scores. Observation indicators: (1) follow-up of patients and analysis of influencing factors for prognosis; (2) construction and validation of machine learning prediction models. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the rank sum test. The Kaplan-Meier method was used to calculate survival rate and plot survival curve, and the Log-rank test was used for survival analysis. The Cox proportional hazard regression model was used for univariate and multivariate analyses. Independent influencing factors were included, and data processing, machine learning model construction, and visualization were performed using R packages including random survival forest (RSF), gradient boosting machine (GBM), least absolute shrinkage and selection operator Cox regression (LASSO-Cox), Cox proportional hazards model boosting (CoxBoost), survival support vector machine (survivalsvm), extreme gradient boosting (XGBoost), supervised principal component analysis (SuperPC), and Cox partial least squares regression (plsRcox). Receiver operating characteristic (ROC) curves were drawn, and sensitivity, specificity, and area under the curve (AUC) were calculated. The Delong test was used to assess the differences in AUC among different models in the training set, and the time-dependent ROC was used to compare the predictive performance of different models. Calibration curves were used to evaluate model accuracy, and decision curve analysis (DCA) was used to evaluate overall net benefit. Results:(1) Follow-up of patients and analysis of influencing factors for prognosis. All 406 patients were followed up postoperatively for 28(range, 6-36)months, with 1- and 3-year overall survival rate of 86.5% and 40.9%, respectively. The 285 patients in the training set were followed up postoperatively for 30(range, 6-36)months, with 1- and 3-year overall survival rate of 85.1% and 35.5%, respectively. The 121 patients in the validation set were followed up postoperatively for 25(range, 6-36)months, with 1- and 3-year overall survival rate of 87.0% and 43.2%, respectively. There was no significant difference in postoperative overall survival rate between the training set and the validation set ( χ2=3.20, P>0.05). Results of multivariate analysis showed that left thoracic surgical approach, preopera-tive neutrophil count, vascular invasion, perineural invasion, pathological T2-4 stage, pathological N2-3 stage, and postoperative pneumonia were independent risk factors affecting postoperative survival of 285 patients in the training set ( hazard ratio=1.466, 1.037, 1.482, 1.549, 5.268, 7.727, 22.202, 2.539, 2.686, 1.425, 95% confidence interval as 1.026-2.096, 1.003-1.073, 1.008-2.179, 1.105-2.170, 1.201-23.099, 1.833-32.576, 4.734-104.128, 1.577-4.087, 1.631-4.422, 1.018-1.994, P<0.05). (2) Construction and validation of machine learning prediction models. Independent risk factors affecting postoperative survival were included to construct RSF, GBM, LASSO-Cox, CoxBoost, survivalsvm, XGBoost, SuperPC, and plsRcox machine learning prediction models. Results of Delong test showed that there were significant differences in the AUC of RSF and GBM from the other six models ( P<0.05). Results of time-dependent ROC curve showed that all 8 machine learning predic-tion models had good discriminative ability in the training cohort, among which the RSF machine learning prediction model had the best predictive performance. Results of calibration curve showed that the RSF machine learning prediction model fitted well for predicting postoperative 1-, 2-, and 3-year overall survival in the training cohort, with high consistency with actual results. Results of decision curve analysis showed that within a threshold range of 0-0.80, the RSF machine learning prediction model provided a better overall net benefit. Further analysis showed that in the validation set, the AUC of RSF machine learning prediction model for postoperative 1-, 2-, and 3-year survival prediction were 0.786 (95% confidence interval as 0.609-0.962), 0.774 (95% confidence interval as 0.676-0.873), and 0.750 (95% confidence interval as 0.652-0.848), respectively. Results of calibration curve showed that the RSF machine learning prediction model fitted well for predicting postopera-tive 1-, 2-, and 3-year overall survival in the validation set, with high consistency with actual results. In the training set, the optimal cutoff value of the RSF machine learning prediction model risk score was 11.7. Patients with risk score ≥11.7 were classified as the high-risk group, and those with risk score <11.7 as the low-risk group. The median survival times of the two groups were 18.0 months and >36.0 months, respectively, showing a significant difference between them ( χ2=73.30, P<0.05). In the validation set, the optimal cutoff value of the RSF machine learning prediction model risk score was 11.7. Patients with risk score ≥11.7 were classified as the high-risk group, and those with risk score<11.7 as the low-risk group. The median survival times of the two groups were 17.0 months and>36.0 months for the high-risk and low-risk groups, respectively, showing a significant difference between them ( χ2=35.20, P<0.05). Conclusions:Left thoracic surgical approach, preoperative neutrophil count, vascular invasion, perineural invasion, pathological T2-4 stage, pathological N2-3 stage, and postoperative pneumonia are independent risk factors affecting survival of esophageal cancer patients after radical resection. The RSF machine learning prediction model constructed based on these factors can effectively distinguish the survival prognosis of high-risk and low-risk patients.

Objective Mendelian randomization(MR)analysis was used to explore the genetic link between immunophenotype and breast cancer(BC)risk and how cerebrospinal fluid(CSF)metabolites play a part in mediating this.Methods We used MR to assess the genetic associations between immune cells and BC risk and their possible mediators.Genetic statistics for immune cells and CSF metabolites were obtained from the Genome-Wide Association Study(GWAS)catalog,whereas those for BC were obtained from the Japan Biobank,the UK Biobank,and FinnGen's cross-ethnic meta-analysis.We performed a two-sample MR analysis using inverse variance weighting(IVW)to investigate the genetic association between immunoepidemiology and BC.We also analyzed CSF metabolites as mediators between them.Heterogeneity was tested using the Cochran's Q statistic,horizontal pleiotropy was tested using the MR Egger intercept,and sensitivity analysis was performed using the"leave-one-out"method.Results MR analysis by the IVW method showed that HLA DR+CD4+T cells were associated with a reduced risk of BC(OR=0.972,95％ CI:0.955-0.990,P=0.003),and there was a negative genetic association between HLA DR+CD4+T cells and methylsuccinimidyl carnitine level(OR=0.922,95％ CI:0.861-0.986,P=0.018),but there was a positive genetic association between the latter and BC risk(OR=1.029,95％ CI:1.012-1.047,P＜0.001).Mediation analysis showed that the direct effect remained significant after correction for CSF methylsuccinylcarnitine level(β=-0.026,SE=0.008,P=0.002).And the indirect effect(β=-0.002,Delta Method SE=0.001)suggested that this CSF metabolite might mediate 8.36％of the association in the protective effect of immune cells against BC risk(95％ CI:-12.4％-29.1％).Conclusion Genetically predicted HLA DR+CD4+T cells may reduce the risk of BC development by modulating the level of methylsuccinylcarnitine,the CSF metabolite.

Mesangial cell proliferation is an early pathological indicator of diabetic nephropathy (DN). Growing evidence highlights the pivotal role of paired-related homeobox 1 (Prrx1), a key regulator of cellular proliferation and tissue differentiation, in various disease pathogenesis. Notably, Prrx1 is highly expressed in mesangial cells under DN conditions. Both in vitro and in vivo studies have demonstrated that Prrx1 overexpression promotes mesangial cell proliferation and contributes to renal fibrosis in db/m mice. Conversely, Prrx1 knockdown markedly suppresses hyperglycemia-induced mesangial cell proliferation and mitigates renal fibrosis in db/db mice. Mechanistically, Prrx1 directly interacts with the Yes-associated protein 1 (YAP) promoter, leading to the upregulation of YAP expression. This upregulation promotes mesangial cell proliferation and exacerbates renal fibrosis. These findings emphasize the crucial role of Prrx1 upregulation in high glucose-induced mesangial cell proliferation, ultimately leading to renal fibrosis in DN. Therefore, targeting Prrx1 to downregulate its expression presents a promising therapeutic strategy for treating renal fibrosis associated with DN.

Objective To investigate the causal relationship between circulating white blood cells(WBC)and juvenile idiopathic arthritis(JIA)using a two-sample Mendelian randomization(MR)analysis,and to provide a reference for the treatment strategy of JIA.Methods Relevant data of WBC and JIA were extracted from the public data of genome-wide association studies.Then,bidirectional MR analysis was conducted using the inverse variance weighted method(IVW),MR-Egger regression method,mixed contamination method,and Bayesian weighted Mendelian randomization.A series of sensitivity analyses were used to verify the robustness of the results.Results After MR analysis,false discovery rate(FDR)correction and sensitivity verification,calculations using IVW as the main method showed that neutrophils could reduce the risk of JIA(OR=0.752,95%CI:0.622,0.908,P=0.003,PFDR=0.003),and that JIA could lead to increased monocyte counts(bete=0.015,95%CI:0.007,0.022,P=1.90E-04,PFDR=1.14E-03).Conclusion A bidirectional causal association is identified between WBC and the risk of JIA occurrence.

Objective To investigate the knowledge,attitude,and practice(KAP)related to medication use among pregnant and lactating women in Hubei province,to comprehend the specific requirements of pregnant and lactating women for pharmaceutical assistance,to assess the critical stages in the process of medication,and to furnish factual backing for devising a secure medication education framework tailored to pregnant and lactating women.Methods Through a multi-center study design,with pregnant and lactating women as the research subjects,a questionnaire survey was carried out to gather fundamental information and assess their knowledge,attitude,and practices towards medication use.Data analysis involved utilizing one-way analysis of variance,non-parametric tests,and multiple linear regression.Results A total of 548 valid questionnaires were collected.The average scores for knowledge,practice and attitude among pregnant and lactating women were(58.26±30.68),(52.18±22.32),and(46.60±14.66)points,respectively.Overall,the scores for medication knowledge and behavior were good,while the attitude scores were passable.These results suggest that pregnant and lactating women have a certain level of understanding about safe medication practices and hold a positive attitude towards receiving medication education.However,there are still potential safety hazards in their daily medication behavior.The results of multiple linear regression indicate that age,educational level,and occupation are the main factors influencing the knowledge,attitude,and practice of medication use among pregnant and lactating women.Conclusions Pregnant and lactating women require urgent education on the safe use of medication.It is recommended that targeted drug education should be carried out based on the knowledgegaps and medication misconceptions of different objects.Additionally,it is crucial to effectively utilize new media platforms,such as WeChat official accounts and channels,and to engage in offline scientific outreach activities,such as offering free consultations and giving lectures on rational drug use.This will provide pregnant and lactating women with convenient and practical educational content on safe medication.

BACKGROUND: Renal osteodystrophy (ROD) is a skeletal pathology associated with chronic kidney disease-mineral and bone disorder (CKD-MBD) that is characterized by aberrant bone mineralization and remodeling. ROD increases the risk of fracture and mortality in CKD patients. The underlying mechanisms of ROD remain elusive, partially due to the absence of an appropriate animal model. To address this gap, we established a stable mouse model of ROD using an optimized adenine-enriched diet and conducted exploratory analyses through ribonucleic acid sequencing (RNA-seq). METHODS: Eight-week-old male C57BL/6J mice were randomly allocated into three groups: control group ( n = 5), adenine and high-phosphate (HP) diet group ( n = 20), and the optimized adenine-containing diet group ( n = 20) for 12 weeks. We assessed the skeletal characteristics of model mice through blood biochemistry, microcomputed tomography (micro-CT), and bone histomorphometry. RNA-seq was utilized to profile gene expression changes of ROD. We elucidated the functions of differentially expressed genes (DEGs) using gene ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and gene set enrichment analysis (GSEA). DEGs were validated via quantitative real-time polymerase chain reaction (qRT-PCR). RESULTS: By the fifth week, adenine followed by an HP diet induced rapid weight loss and high mortality rates in the mouse group, precluding further model development. Mice with optimized adenine diet-induced ROD displayed significant abnormalities in serum creatinine and blood urea nitrogen levels, accompanied by pronounced hyperparathyroidism and hyperphosphatemia. The femur bone mineral density (BMD) of the model mice was lower than that of control mice, with substantial bone loss and cortical porosity. ROD mice exhibited substantial bone turnover with an increase in osteoblast and osteoclast markers. Transcriptomic profiling revealed 1907 genes with upregulated expression and 723 genes with downregulated expression in the femurs of ROD mice relative to those of control mice. Pathway analyses indicated significant enrichment of upregulated genes in the sphingolipid metabolism pathway. The significant upregulation of alkaline ceramidase 1 ( Acer1 ), alkaline ceramidase 2 ( Acer2 ), prosaposin-like 1 ( Psapl1 ), adenosine A1 receptor ( Adora1 ), and sphingosine-1-phosphate receptor 5 ( S1pr5 ) were successfully validated in mouse femurs by qRT-PCR. CONCLUSIONS Optimized adenine diet mouse model may be a valuable proxy for studying ROD. RNA-seq analysis revealed that the sphingolipid metabolism pathway is likely a key player in ROD pathogenesis, thereby providing new avenues for therapeutic intervention.
Animals ; Mice ; Chronic Kidney Disease-Mineral and Bone Disorder/genetics* ; Male ; Disease Models, Animal ; Mice, Inbred C57BL ; Sphingolipids/metabolism* ; Transcriptome/genetics* ; Signal Transduction/genetics* ; X-Ray Microtomography ; Adenine