The chemical constituents in dried roots of Atractylodes macrocephala were investigated in this study. Through utilizing normal-phase silica gel and ODS column chromatography, TLC, and semi-preparative HPLC, 4 new sesquiterpenoids were purified from the ethyl acetate extract of A. macrocephala. By various spectroscopic techniques, such as 1D and 2D NMR, HR-ESI-MS, IR, UV, and CD, their structures were identified as atractylmacron A (1), 9β-hydroxyasterolide (2), atractylenolide H (3), atractylenolide J (4). Compound 1 possesses a rare 6/7 bicyclic skeleton.

To investigate the association between neutrophil to lymphocyte ratio (NLR) andestimated glomerular filtration rate (eGFR) in patients with diabetes using large-scale data.

RNA-binding proteins (RBPs) are ubiquitous components within cells, fulfilling essential functions in a myriad of biological processes. These proteins interact with RNA molecules to regulate gene expression at various levels, including transcription, splicing, transport, localization, translation, and degradation. Understanding the intricate network of RBP-RNA interactions is crucial for deciphering the complex regulatory mechanisms that govern cellular function and organismal development. Ultravidet (UV) cross-linking and immunoprecipitation (CLIP) stands out as a powerful approach designed to map the precise locations where RBPs bind to RNA. By using UV light to create covalent bonds between proteins and RNA, followed by immunoprecipitation to isolate the protein-RNA complexes, researchers can identify the direct targets of specific RBPs. The advent of high-throughput sequencing technologies has revolutionized CLIP, enabling the identification of not only the types but also the exact sequences of RNA bound by RBPs on a genome-wide scale. The evolution of CLIP has led to the development of specialized variants, each with unique features that address specific challenges and expand the scope of what can be studied. High-throughput sequencing CLIP (HITS-CLIP) was one of the first advancements, significantly increasing the throughput and resolution of RNA-protein interaction mapping. Photoactivatable-ribonucleoside-enhanced CLIP (PAR-CLIP) introduced the use of photoactivatable ribonucleosides to enhance cross-linking efficiency and specificity, reducing background noise and improving the detection of low-abundance RNA-protein interactions. Individual-nucleotide resolution CLIP (iCLIP) further refined the technique, achieving unprecedented precision by resolving individual nucleotides involved in RBP binding, which is particularly valuable for studying the fine details of RNA structure and function. Despite the remarkable progress, there remains room for improvement in CLIP technology. Researchers continue to seek methods to increase sensitivity, reduce technical variability, and improve the reproducibility of results. Advances in sample preparation, data analysis algorithms, and computational tools are critical for addressing these challenges. Moreover, the application of CLIP to more diverse biological systems, including non-model organisms and clinical samples, requires the development of tailored protocols and the optimization of existing ones. Looking forward, the field of RNA biology is poised to benefit greatly from ongoing innovations in CLIP technology. The exploration of non-canonical RNA-protein interactions, such as those involving long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs), promises to reveal new layers of cellular regulation and may lead to the discovery of novel therapeutic targets. Furthermore, integrating CLIP data with other omics approaches, such as proteomics and metabolomics, will provide a more comprehensive understanding of the dynamic interplay between RNA and its binding partners within the cell. In conclusion, the continuous refinement and expansion of CLIP techniques have not only deepened our knowledge of RNA biology but have also opened up new avenues for investigating the molecular underpinnings of health and disease. As the technology matures, it is expected to play an increasingly pivotal role in both basic and applied research, contributing to the advancement of medical science and biotechnology.

Lianggesan was first recorded in Taiping Huimin Heji Jufang， which was composed of Rhei Radix et Rhizoma， Natrii Sulfas， Gardeniae Fructus， Forsythiae Fructus， Scutellariae Radix， Glycyrrhizae Radix et Rhizoma（GRR）， Menthae Haplocalycis Herba， Lophatheri Herba and Mel. It was clinically applied to treat fire-heat syndrome in the upper and middle Jiao， and the curative effect was positive. In this study， the bibliometric method was used to conduct a detailed textual research on the formula name， medicinal composition， dosage evolution， origin and processing， functional indications and other aspects of Lianggesan. Research revealed that Lianggesan has six other names， such as Lianqiao Yinzi， Lianqiao Jiedusan， Jufang Lianggesan， Jiegu Lianggesan， Hejian Lianggesan and Qingji Lianggesan. Based on the edition of Taiping Huimin Heji Jufang， an analysis of the evolution of its formula composition revealed that the missing Chinese medicines were predominantly bamboo leaves and honey， while the added Chinese medicines were primarily supplements introduced to address changes in disease manifestations. After textual research， the dosage for one dose of Lianggesan from Taiping Huimin Heji Jufang was as follows：826 g of Rhei Radix et Rhizoma， 826 g of Natrii Sulfas， 826 g of GRR， 413 g of Gardeniae Fructus， 413 g of Menthae Haplocalycis Herba， 413 g of Scutellariae Radix， and 1652 g of Forsythiae Fructus. Decocting method was as following：Grinding the Chinese medicines into coarse powder（2-4 mm）， taking 8.16 g per dose， adding 300 mL of water， along with 2 g of Lophatheri Herba and 5 g of Mel， and decocting to 140 mL. The residue was removed and taken warmly 30 min after meals. It was recommended to take it three times daily until improvement was achieved. The origins of the 9 Chinese medicines were consistent with the 2020 edition of Pharmacopoeia of the People's Republic of China. Except for GRR， which required single frying（stir-frying）， the remaining medicines were all raw products. The description of the function of this formula in ancient books was summarized as purging fire and promoting bowel movements， clearing heat from the upper body and purging the lower body， and the main syndromes included facial redness， tongue swelling， red eyes， etc. In modern applications， the formula is primarily used for respiratory and digestive system diseases， including acute lung injury， chronic obstructive pulmonary disease， herpetic angina and aphthous stomatitis， covering 142 types of diseases. In summary， this paper can provide a basis for further research and development of Lianggesan through the literature review and key information combing.

Objective To observe the postoperative effects of aspirin and low-molecular-weight heparin(LMWH)in preventing venous thromboembolism(VTE)and improving distal circulation in patients with hand and foot trauma fractures.Methods Retrospectivey selected patients undergoing hand and foot trauma fracture surgery into control and treatment groups.The control group received enteric-coated aspirin,0.1 g per dose,once daily;the treatment group received subcutaneous injection of calcium-enoxaparin,4 000 U per dose,twice daily,for continuous treatment for 12 days.The incidence of VTE,coagulation function,hemorheological parameters,distal collateral circulation,and drug adverse reactions were compared between the two groups.Results There were 60 patients in each of the treatment and control groups.The incidence of postoperative deep vein thrombosis was 5.00％in the treatment group and 3.33％in the control group,while the incidence of pulmonary embolism was 1.67％in both groups,with no statistically significant differences(all P＞0.05).After treatment,the activated partial thromboplastin time(APTT)in the treatment and control groups were(35.01±5.96)and(36.82±6.15)s,prothrombin time(PT)were(14.95±1.54)and(15.32±1.63)s;fibrinogen(FIB)were(3.97±1.25)and(4.36±1.02)g·L-1;D-dimer(D-D)were(309.69±56.55)and(319.03±55.32)μg·L-1;whole blood viscosity(WBV)were(13.26±3.80)and(12.26±3.61)mPa·s-1;plasma viscosity(PV)were(1.76±0.35)and(1.77±0.43)mPa·s-1,hematocrit(HCT)were(60.20±7.05)％and(58.60±6.71)％,with no statistically significant differences(all P＞0.05).After treatment,the flow rates(Vmax)in the treatment and control groups were(54.27±6.64)and(51.18±5.67)cm·s-1;resistance indices(RI)were 0.59±0.13 and 0.65±0.15,showing statistical significance(all P＜0.05).Comparison of drug adverse reactions such as nausea,vomiting,bleeding,and injection site hematoma between the treatment and control groups showed no statistically significant difference in the overall incidence of adverse drug reactions(P＞0.05).Conclusion There was no significant difference in the efficacy of aspirin and LMWH in preventing postoperative VTE in patients with hand and foot trauma fractures,but LMWH demonstrated better improvement in distal collateral circulation.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.

OBJECTIVE To improve the quality evaluation method of Platycodonis Radix, to study the differences in the quality of three-years-old Platycodonis Radix under different harvesting periods, and to determine the optimal harvesting period of Platycodonis Radix. METHODS The leachate, ash, moisture, refractive index and the content of six saponins were used as the quality evaluation indexes. The differences between the herbs of Platycodonis Radix at different harvesting periods were characterized with the help of mathematical and statistical methods. And link the entropy weight method, gray correlation analysis and TOPSIS method were combined to obtain the statistical analysis of the relevant indexes and the quality ranking information of the herbs in different harvesting periods. RESULTS There were significant differences between the quality evaluation indexes of three-years-old Platycodonis Radix at different harvesting periods. The added multi-indicator testing had improved the quality evaluation system of Platycodonis Radix and enhanced the "Drug properties-Effectiveness" linkage of the herbs. And the results of the comprehensive quality evaluation model showed that the herbs harvested around October 21 (Frost’s Descent) were ranked best in terms of comprehensive index. CONCLUSION In order to ensure the quality of Platycodonis Radix, the best harvesting period for three-years-old Platycodonis Radix is determined around the "Frost’s Descent" season, taking into account the characteristics of the herbs' appearance and the material basis of herbs.