In this paper， by referring to ancient and modern literature， the textual research of Inulae Flos has been conducted to clarify the name， origin， production area， quality evaluation， harvesting， processing and others， so as to provide reference and basis for the development and utilization of famous classical formulas containing this herb. After textual research， it could be verified that the medicinal use of Inulae Flos was first recorded in Shennong Bencaojing of the Han dynasty. In successive dynasties， Xuanfuhua has been taken as the official name， and it also has other alternative names such as Jinfeicao， Daogeng and Jinqianhua. The period before the Song and Yuan dynasties， the main origin of Inulae Flos was the Asteraceae plant Inula japonica， and from the Ming and Qing dynasties to the present， I. japonica and I. britannica are the primary source. In addition to the dominant basal species， there are also regional species such as I. linariifolia， I. helianthus-aquatili， and I. hupehensis. The earliest recorded production areas in ancient times were Henan， Hubei and other places， and the literature records that it has been distributed throughout the country since modern times. The medicinal part is its flower， the harvesting and processing method recorded in the past dynasties is mainly harvested in the fifth and ninth lunar months， and dried in the sun， and the modern harvesting is mostly harvested in summer and autumn when the flowers bloom， in order to remove impurities， dry in the shade or dry in the sun. In addition， the roots， whole herbs and aerial parts are used as medicinal materials. In ancient times， there were no records about the quality of Inulae Flos， and in modern times， it is generally believed that the quality of complete flower structure， small receptacles， large blooms， yellow petals， long filaments， many fluffs， no fragments， and no branches is better. Ancient processing methods primarily involved cleaning， steaming， and sun-drying， supplemented by techniques such as boiling， roasting， burning， simmering， stir-frying， and honey-processing. Modern processing focuses mainly on cleaning the stems and leaves before use. Regarding the medicinal properties， ancient texts describe it as salty and sweet in taste， slightly warm in nature， and mildly toxic. Modern studies characterize it as bitter， pungent， and salty in taste， with a slightly warm nature. Its therapeutic effects remain consistent across eras， including descending Qi， resolving phlegm， promoting diuresis， and stopping vomiting. Based on the research results， it is recommended that when developing famous classical formulas containing Inulae Flos， either I. japonica or I. britannica should be used as the medicinal source. Processing methods should follow formula requirements， where no processing instructions are specified， the raw products may be used after cleaning.

In this paper， by referring to ancient and modern literature， the textual research of Inulae Flos has been conducted to clarify the name， origin， production area， quality evaluation， harvesting， processing and others， so as to provide reference and basis for the development and utilization of famous classical formulas containing this herb. After textual research， it could be verified that the medicinal use of Inulae Flos was first recorded in Shennong Bencaojing of the Han dynasty. In successive dynasties， Xuanfuhua has been taken as the official name， and it also has other alternative names such as Jinfeicao， Daogeng and Jinqianhua. The period before the Song and Yuan dynasties， the main origin of Inulae Flos was the Asteraceae plant Inula japonica， and from the Ming and Qing dynasties to the present， I. japonica and I. britannica are the primary source. In addition to the dominant basal species， there are also regional species such as I. linariifolia， I. helianthus-aquatili， and I. hupehensis. The earliest recorded production areas in ancient times were Henan， Hubei and other places， and the literature records that it has been distributed throughout the country since modern times. The medicinal part is its flower， the harvesting and processing method recorded in the past dynasties is mainly harvested in the fifth and ninth lunar months， and dried in the sun， and the modern harvesting is mostly harvested in summer and autumn when the flowers bloom， in order to remove impurities， dry in the shade or dry in the sun. In addition， the roots， whole herbs and aerial parts are used as medicinal materials. In ancient times， there were no records about the quality of Inulae Flos， and in modern times， it is generally believed that the quality of complete flower structure， small receptacles， large blooms， yellow petals， long filaments， many fluffs， no fragments， and no branches is better. Ancient processing methods primarily involved cleaning， steaming， and sun-drying， supplemented by techniques such as boiling， roasting， burning， simmering， stir-frying， and honey-processing. Modern processing focuses mainly on cleaning the stems and leaves before use. Regarding the medicinal properties， ancient texts describe it as salty and sweet in taste， slightly warm in nature， and mildly toxic. Modern studies characterize it as bitter， pungent， and salty in taste， with a slightly warm nature. Its therapeutic effects remain consistent across eras， including descending Qi， resolving phlegm， promoting diuresis， and stopping vomiting. Based on the research results， it is recommended that when developing famous classical formulas containing Inulae Flos， either I. japonica or I. britannica should be used as the medicinal source. Processing methods should follow formula requirements， where no processing instructions are specified， the raw products may be used after cleaning.

Objective To explore the changes of serum angiopoietin-like protein 4(ANGPTL4)and NOD-like receptor protein 3(NLRP3)levels after traumatic brain injury(TBI)and their diagnostic value for sec-ondary massive cerebral infarction.Methods A total of 100 TBI patients admitted to the hospital from Au-gust 2019 to August 2021 were enrolled as the TBI group,meantime,100 healthy people in the hospital were enrolled as the control group.The serum levels of ANGPTL4 and NLRP3 were detected by enzyme-linked im-munosorbent assay(ELISA).The clinical characteristics of TBI patients with and without secondary massive cerebral infarction were compared.Receiver operating characteristic(ROC)curve was applied to analyze the serum levels of ANGPTL4 and NLRP3 on their diagnostic value for TBI patients with secondary massive cere-bral infarction.Multivariate Logistic regression analysis was applied to analyze the factors affecting the occur-rence of secondary massive cerebral infarction in TBI patients.Results The serum ANGPTL4 level in TBI group was lower than that in the control group,and the serum NLRP3 level was higher than that in the con-trol group(P<0.05).There were obvious differences in proportion of brain hernia,proportion of subarach-noid hemorrhage,serum levels of ANGPTL4 and NLRP3 between patients with secondary massive cerebral infarction and patients without secondary massive cerebral infarction(P<0.05).ROC curve analysis showed that the area under the curve(AUC)of serum ANGPTL4 and NLRP3 in diagnosing secondary massive cere-bral infarction in TBI patients was 0.792 and 0.812 respectively,with sensitivity of 77.80%and 83.30%re-spectively,and specificity of 86.60%and 64.60%respectively.The sensitivity,the specificity and AUC of the combined detection were 83.30%,82.90%and 0.867 respectively.Multivariate Logistic regression analysis showed that serum NLRP3 level was a risk factor for TBI patients with secondary massive cerebral infarction(P<0.05).After treatment,it was found that serum ANGPTL4 level increased and NLRP3 level decreased in TBI patients(P<0.05).Conclusion The serum level of ANGPTL4 in TBI patients decreases,while the level of NLRP3 increases,and the level of ANGPTL4 in the serum of patients with secondary massive cerebral in-farction decreases and the level of NLRP3 increases,both of them are of great significance in the diagnosis of secondary massive cerebral infarction in TBI patients.

Objective Given the extensive application of machine learning(ML)in medical models and its remarkable learning and generalization capabilities,this study employed automated ML(AutoML)combined with patient demographics and clinical conditions to early assess the risk of failure in bowel preparation prior to colonoscopy.Methods A retrospective analysis was conducted on patients who underwent colonoscopy examinations in Hospital 1 and Hospital 2 from January 2022 to January 2023,and their general and clinical information was collected.According to the Boston bowel preparation scale(BBPS),a BBPS of≤5 was defined as a failure in bowel preparation,>5 was deemed satisfactory.From the data of the two hospitals,we randomly divided the dataset into a training set(n=303)and a validation set(n=76)at an 8∶2 ratio.Least absolute shrinkage and selection operator(LASSO)logistic regression(LR)model was used for feature selection,a nomogram scoring system was constructed,and models were established using AutoML based on five algorithms.Model performance was evaluated through receiver operator characteristic curve(ROC curve),calibration curves,LR-based decision curve analysis(DCA),SHAP plots,and force plots.Results Among the 379 patients,105 cases(27.7%)experienced bowel preparation failure(BBPS≤5).21 study variables were narrowed down to 10 through LASSO with 5-fold cross-validation,resulting in the development of a Nomogram chart with demonstrated reliability via calibration curves.Using the H2O platform and five algorithms[gradient boosting machine(GBM),deep learning(DL),generalized linear model(GLM),Stacked Ensemble and distributed random forest(DRF)],67 models were developed.Stacked Ensemble outperformed the others with an area under the curve(AUC)of 0.871,LogLoss of 0.403,and RMSE of 0.354,surpassing traditional LR model and other models.Variable importance contribution plots indicated significant predictive influences from factors such as the interval between laxative ingestion and examination,history of constipation,completion of laxative regimen,age,and presence of a companion during the procedure.Finally,SHAP plots and force plots revealed variable distribution patterns in binary classification predictions and the impact of variables on predictive outcomes.Conclusion The AutoML model based on the Stacked Ensemble algorithm exhibits clear clinical utility in early prediction of bowel preparation failure risk.Moreover,a clinically applicable column chart scoring tool is constructed.

Objective To investigate the predictive value of Rotterdam CT score combined with serum soluble cluster of differentiation antigen 40 ligand (sCD40L) and fibulin-5 for prognosis of patients with severe traumatic brain injury (sTBI). Methods A total of 186 sTBI patients were divided into good prognosis group (n=104) and poor prognosis group (n=82). CT images were analyzed and Rotterdam CT scores were obtained; the enzyme-linked immunosorbent assay (ELISA) was used to detect serum sCD40L and fibulin-5 levels on the 1st, 3rd and 7th day of admission; the Spearman analysis was used to assess the correlations of serum sCD40L and fibulin-5 levels on the first day of admission with the Rotterdam CT score and Glasgow Coma Scale (GCS) score; the Multivariate Logistic regression analysis was conducted to explore the risk factors for poor prognosis in sTBI patients; the receiver operating characteristic (ROC) curve was performed to analyze the predictive value of Rotterdam CT score combined with serum sCD40L and fibulin-5 levels on the first day of admission for prognosis of sTBI patients. Results On the 1st, 3rd and 7th day of admission, compared with the good prognosis group, the serum levels of sCD40L and fibulin-5 in the poor prognosis group were significantly elevated (P < 0.05); serum sCD40L and fibulin-5 levels were negatively correlated with GCS scores (r=-0.505, -0.421, P < 0.05) and positively correlated with Rotterdam CT score (r=0.495, 0.397, P < 0.05); sCD40L (OR=2.768, 95%CI, 1.537 to 4.983) and fibulin-5 (OR=2.539, 95%CI, 1.301 to 4.953) were independent risk factors for poor prognosis in sTBI patients (P < 0.001); the area under the curve (AUC) of Rotterdam CT score combined with serum sCD40L and fibulin-5 levels on the first day of admission for predicting poor prognosis in sTBI patients was 0.969 (95%CI, 0.933 to 0.989), with a sensitivity of 86.59% and a specificity of 94.23%; the diagnostic performance of Rotterdam CT score combined with sCD40L and fibulin-5 was superior to that of each individual indicator (Z=4.233, 4.274, 4.433, P < 0.001); the Bootstrap internal validation results showed that the predictive performance curve of the combined prediction model was consistent with the actual clinical occurrence curve. Conclusion Rotterdam CT score combined with serum sCD40L and fibulin-5 has certain predictive value for poor prognosis in sTBI patients.

Objective:To investigate the different types of renal artery involvement in Stanford type B aortic dissection (TBAD) and the comparison of clinical effecacy after thoracic endovascular aortic repair (TEVAR).Methods:This is a retrospective cohort study included 330 patients with TBAD and renal artery involvement treated with TEVAR from June 2002 to September 2021 in General Hospital of Northern Theater Command of the PLA. According to aortic CTA image, unilateral renal artery involvement conditions were divided into 5 types: the true lumen type (renal artery opening completely from the true lumen), false lumen type (renal artery opening completely from the false lumen), double lumen type (renal artery opening from the true and false double lumen), compression type (renal artery opening connected with the true lumen, but the renal artery opening was extremely squeezed by the inner membrane), open type (renal artery opening with intimal tear). There were seven types of bilateral renal artery involvement: true-true type (true lumen-true lumen type), true and false type (true lumen-false lumen type), true-double type (true lumen-double lumen type), true-opening type (true lumen-opening type), false-false type (false lumen-false lumen type), false-compression type (false lumen-compression type), double-double type (double lumen-double lumen type). The primary observation index of this study was the comparison of postoperative renal function and the incidence of clinical adverse events of different types of renal artery involvement. One-way ANOVA test, Kruskal-Wallis H test and paired sample rank sum test were used to compare postoperative renal function between different types of bilateral renal artery involvement. The Chi-square test or Fisher′s exact probability test were used to compare the near and long term adverse events between different types of bilateral renal artery involvement. Kaplan-Meier method was used to compare the all-cause mortality of patients with severe renal functional injury and non-severe renal functional injury before surgery. Results:The average age of the patients included in this study was (53±11) years, including 276 males (83.6%) and 54 females (16.4%). There were statistical difference in the level of serum creatinine (preoperative: H=18.686, P=0.005, postoperative: H=18.101, P=0.006) and cystatin C (preoperative: H=17.566, P=0.007, postoperative: H=10.433, P=0.016), pre-and post-operative, between the seven groups of TBAD patients with different renal artery involvement types ( P<0.05), and the false-false type group shown the worst kidney function. However, no statistically significant differences were shown when comparing their pre- and post-operative change values ( P>0.05). The 30-day follow-up result showed that there were statistically significant differences in the incidence of postoperative acute kidney injury ( χ2=15.623, P=0.007), aorta-related adverse events ( χ2=15.523, P=0.010), and intraoperative endoleak ( χ2=17.935, P=0.004) among the seven groups, and the false-false group was the highest (2/9, 5/9 and 5/9, respectively). In terms of long-term follow-up results, there were statistically significant differences in all-cause death ( χ2=14.772, P=0.011) and non-aortic death ( χ2=15.589, P=0.008) among the seven groups. Kaplan-Meier survival analysis showed that patients with worse pre-operative renal function showed higher long-term all cause death (17.7% vs. 4.8%, P=0.009). Conclusions:For TBAD patients with renal artery involvement, there were differences in renal function among different types, and TEVAR showed no significant effect on renal function in TBAD patients. The long-term all cause death was higher in patients with worse renal function pre-operative.

Antibody‒drug conjugates (ADCs), which combine the advantages of monoclonal antibodies with precise targeting and payloads with efficient killing, show great clinical therapeutic value. The ADCs' payloads play a key role in determining the efficacy of ADC drugs and thus have attracted great attention in the field. An ideal ADC payload should possess sufficient toxicity, low immunogenicity, high stability, and modifiable functional groups. Common ADC payloads include tubulin inhibitors and DNA damaging agents, with tubulin inhibitors accounting for more than half of the ADC drugs in clinical development. However, due to clinical limitations of traditional ADC payloads, such as inadequate efficacy and the development of acquired drug resistance, novel highly efficient payloads with diverse targets and reduced side effects are being developed. This perspective summarizes the recent research advances of traditional and novel ADC payloads with main focuses on the structure-activity relationship studies, co-crystal structures, and designing strategies, and further discusses the future research directions of ADC payloads. This review also aims to provide valuable references and future directions for the development of novel ADC payloads that will have high efficacy, low toxicity, adequate stability, and abilities to overcome drug resistance.

Lamin B1 (LMNB1) is highly expressed in liver cancer tissues, and its influence and mechanism on the proliferation of hepatocellular carcinoma cells were explored by knocking down the expression of the protein. In liver cancer cells, siRNAs were used to knock down LMNB1. Knockdown effects were detected by Western blotting. Changes in telomerase activity were detected by telomeric repeat amplification protocol assay (TRAP) experiments. Telomere length changes were detected by quantitative real-time polymerase chain reaction (qPCR). CCK8, cloning formation, transwell and wound healing were performed to detect changes in its growth, invasion and migration capabilities. The lentiviral system was used to construct HepG2 cells that steadily knocked down LMNB1. Then the changes of telomere length and telomerase activity were detected, and the cell aging status was detected by SA-β-gal senescence staining. The effects of tumorigenesis were detected by nude mouse subcutaneous tumorigenesis experiments, subsequent histification staining of tumors, SA-β-gal senescence staining, fluorescence in situ hybridization (FISH) for telomere analysis and other experiments. Finally, the method of biogenesis analysis was used to find the expression of LMNB1 in clinical liver cancer tissues, and its relationship with clinical stages and patient survival. Knockdown of LMNB1 in HepG2 and Hep3B cells significantly reduced telomerase activity, cell proliferation, migration and invasion abilities. Experiments in cells and tumor formation in nude mice had demonstrated that stable knockdown of LMNB1 reduced telomerase activity, shortened telomere length, senesced cells, reduced cell tumorigenicity and KI-67 expression. Bioinformatics analysis showed that LMNB1 was highly expressed in liver cancer tissues and correlated with tumor stage and patient survival. In conclusion, LMNB1 is overexpressed in liver cancer cells, and it is expected to become an indicator for evaluating the clinical prognosis of liver cancer patients and a target for precise treatment.
Animals ; Mice ; Telomerase/metabolism* ; Carcinoma, Hepatocellular/genetics* ; Liver Neoplasms/genetics* ; Telomere Shortening ; In Situ Hybridization, Fluorescence ; Mice, Nude ; Telomere/pathology* ; Carcinogenesis

Objective:To investigate the effect of nano lead oxide (nano-PbO) exposure on learning and memory as well as spatial exploration ability in the mice, and the role of leukocyte infiltration of brain tissue in neurobehavioral damage caused by nano-PbO exposure.Methods:A total of 60 male SPF grade Kunming mice were divided into control group, low-dose nano-PbO group, medium-dose nano-PbO group and high-dose nano-PbO group according to body mass matching method, with 15 mice in each group.Mice in low, medium and high dose groups of nano-PbO were intraperitoneally injected with 5 mg·kg -1, 10 mg·kg -1, 20 mg·kg -1 nano-PbO, respectively. And mice in the control group were intraperitoneally injected with the same volume of 0.9% normal saline.The frequency of intervention was once a day for 28 days.Morris water maze test and open field test were used to detect the ability of learning and memory and spatial exploration of mice. Western blot was used to detect the protein expression of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β) in hippocampus of mice, intercellular cell adhesion molecule-1 (ICAM-1), vascular cell adhesion molecule-1 (VCAM-1) in mouse microvessels and lymphocyte function-associated antigen-1 (LAF-1) in mouse blood leukocyte. The proportion of leukocytes in mouse brain was detected by flow cytometry. All statistical analyses were performed by SPSS 20.0. Morris water maze data were analyzed by repeated measures ANOVA, the other data among multiple groups were compared by one-way ANOVA, and Tukey's test was used for further pairwise comparison.Pearson correlation analysis was performed to evaluate the correlation between neurobehavioral indexes and the proportion of white blood cells, TNF-α and IL-1β in brain tissue. Results:Morris water maze results showed that the escape latency of the four groups of mice had a significant interaction between group and time( F=3.21, P<0.05). The escape latencies of mice in middle and high dose groups of nano-PbO were higher than that in the control group (both P<0.05), and the numbers of crossing the platform of the two groups were lower than that in the control group (both P<0.05). The results of open field test showed that there was a statistically significant difference in the residence time of the mice in the four groups ( F=119.10, P<0.01). The total standing times of mice in the middle group and high dose group of nano-PbO were lower than that in the control group (both P<0.01). The results of Western blot showed that the levels of TNF-α and IL-1β in hippocampus tissue of mice were significant differences among the four groups ( F=7.21, 9.89, both P<0.05). The levels of TNF-α and IL-1β in the hippocampus of mice in the high-dose nano-PbO group were higher than those in the control group (TNF-α: (0.35±0.10), (1.03±0.30), P<0.05; IL-1β: (0.32±0.10), (0.50±0.15), P<0.05). The results of flow cytometry analysis showed that the proportions of leukocytes in the brain tissue of mice in the low, medium and high dose groups of nano-PbO were (9.99±1.09)%, (13.03±0.94)% and (16.51±3.89)%, respectively. Among them, the proportions of leukocytes in the middle and high dose groups of nano-PbO were significantly higher than that in the control group((8.13±1.29)%) (both P<0.05). The results of correlation analysis showed that the proportion of leukocytes, levels of TNF-α, IL-1β protein of hippocampus in the medium, high dose groups of nano-PbO were negatively correlated with the behavioral indexes ( r=-0.815, -0.744, -0.578, all P<0.01; r=-0.771, -0.836, -0.704, all P<0.05; r=-0.823, -0.876, -0.695, all P<0.05). The results of Western blot showed that the levels of ICAM-1 and VCAM-1 in cerebral microvessels of mice in the four groups were significantly different ( F=5.51, 16.19, both P<0.05). The levels of ICAM-1 and VCAM-1 in the middle and high dose groups of nano-PbO were higher than those in the control group(ICAM-1: (1.07±0.16), (1.21±0.35), (0.59±0.19), all P<0.05; VCAM-1: (0.68±0.12), (1.92±0.23), (0.23±0.05), both P<0.05). In addition, there was a significant difference in the level of LFA-1 protein in blood leukocytes of mice in the four groups ( F=41.80, P<0.05). The levels of LFA-1 in the middle and high dose groups of nano-PbO were higher than that in the control group((0.33±0.06), (0.89±0.23), (0.05±0.01), both P<0.05). Conclusion:The nano-PbO exposure can lead to cognitive impairment and increased inflammatory factors in the hippocampus of mice, which may be related to the increase of ICAM-1 and VCAM-1 in vascular endothelial cells, which promotes leukocyte infiltration into brain tissue.