The accumulation of uremic toxins such as urea nitrogen, blood creatinine, and uric acid of patients with renal failure in vivo would lead to aggravated kidney damage. In this study, coated aldehyde oxy-starch (CAO) was used as an adsorbent to investigate its in vitro adsorption performance on renal failure indexes for urea, indoxyl sulfate (INS), monomethylamine (MMA), dimethylamine (DMA), uric acid (UA), and creatinine (Cr). The effects of variables such as pH, temperature, concentration, dosage, and time on the adsorption capacity of CAO were systematically investigated, employing analytical techniques of high-performance liquid chromatography (HPLC) and gas chromatography (GC). The results revealed that CAO exhibited a strong adsorption capacity for urea, INS, and MMA, alongside a moderate adsorption capacity for DMA, UA, and Cr. The adsorption kinetics and thermodynamic studies indicated that the adsorption of urea and UA by CAO were fitted in pseudo-first-order kinetics, and the adsorption isotherm aligned with the Freundlich adsorption model. The enthalpy change ΔH of urea in adsorption was in the range of 40 to 60 kJ·mol^-1, which demonstrated the presence of strong adsorption force due to the interactions of coordinating groups. The ΔH of UA was greater than 80 kJ·mol^-1, indicating the generation of chemical bonds during the adsorption. Both of them, Gibbs free energy ΔG was less than 0, within the range of -20 to 0 kJ·mol^-1, suggested that the adsorption of urea and UA by CAO occurred spontaneously as physical adsorption process. The adsorption entropy ΔS of urea and UA was > 0, which indicated an increase in entropy throughout the adsorption. The infrared spectroscopygram showed the formation of a chemical bond, specifically the imine bond, following the adsorption of urea by CAO, thereby indicating a chemical reaction during the adsorption. This study elucidates the adsorption mechanism of CAO on various indexes of renal failure, providing a scientific basis for its clinical usage.

ObjectiveTo investigate the optimal ratio of goat horn replacing antelope horn in Fufang Lingjiao Jiangya pills and the blood pressure-lowering mechanism of this medicine. MethodsThe blood pressure-lowering efficacy of Fufang Lingjiao Jiangya pills with varying proportions of goat horn replacing antelope horn was evaluated on spontaneous hypertensive rats （SHR）. In this experiment， 50 SHR rats were randomly grouped as follows： model （n=8）， captopril （0.01 g·kg^-1） （n=6）， low-dose blank Fufang Lingjiao Jiangya pills （0.342 g·kg^-1） （n=6）， high-dose blank Fufang Lingjiao Jiangya pills （0.684 g·kg^-1） （n=6）， low-dose antelope horn-containing Fufang Lingjiao Jiangya pills （0.378 g·kg^-1） （n=6）， high-dose antelope horn-containing Fufang Lingjiao Jiangya pills （0.756 g·kg^-1） （n=6）， low-dose goat horn-containing Fufang Lingjiao Jiangya pills （0.378 g·kg^-1） （n=6）， and high-dose goat horn-containing Fufang Lingjiao Jiangya pills （0.756 g·kg^-1） （n=6）. Additionally， 8 WKY rats were used as the normal group. Drugs were administered by gavage for 4 weeks while an equal volume of distilled water was administered for the normal and model groups. Blood pressure was measured before administration， 3 h post administration， and biweekly thereafter. In the experiment for Fufang Lingjiao Jiangya pills with goat horn replacing antelope horn in different proportions， 48 SHR rats were randomly grouped as follows： model， blank Fufang Lingjiao Jiangya pills （0.684 g·kg^-1）， antelope horn-containing Fufang Lingjiao Jiangya pills （0.756 g·kg^-1）， 2× goat horn-containing Fufang Lingjiao Jiangya pills （0.824 g·kg^-1）， 4× goat horn Fufang Lingjiao Jiangya pills （0.969 g·kg^-1）， and 6× goat horn Fufang Lingjiao Jiangya pills （1.112 g·kg^-1）. The normal group included 8 WKY rats， and the normal group and model group received an equal volume of distilled water. The treatment lasted for 2 weeks， and blood pressure was recorded at various time points （pre-administration， 3 h post administration， and on days 4， 7， 10， and 14 of administration）. Serum levels of angiotensin-converting enzyme （ACE）， angiotensin Ⅱ（Ang Ⅱ）， renin， and interleukin-6 （IL-6） were measured by enzyme-linked immunosorbent assay. Histopathological changes in the heart， kidney， and thoracic aorta were observed by hematoxylin-eosin staining. The protein levels of ACE2， angiotensin Ⅱ type 1 receptor （AT1R）， and angiotensinogen （AGT） in the kidney tissue were determined by Western blot， while the expression of nuclear factor （NF）-κB p65 and Toll-like receptor 4 （TLR4） in the thoracic aorta tissue was assessed by immunohistochemistry. ResultsCompared with the model group， all treatment groups showed lowered blood pressure （P<0.05， P<0.01）， and the 6× goat horn-containing Fufang Lingjiao Jiangya pills group showed consistent blood pressure-lowering effect with the antelope horn-containing Fufang Lingjiao Jiangya pills group. Compared with the normal group， the model group showed elevated serum levels of ACE， Ang Ⅱ， renin， and IL-6， while the elevations were declined in the Fufang Lingjiao Jiangya pills groups （P<0.05， P<0.01）. Pathological changes in the heart， kidney， and thoracic aorta were alleviated in all the treatment groups， with the 6× goat horn- and antelope horn-containing Fufang Lingjiao Jiangya pills groups exhibited the best effect. Western blot and immunohistochemistry results showed that all the treatment groups exhibited down-regulated protein levels of AT1R， AGT， NF-κB p65， and TLR4 and up-regulated protein levels of ACE2 （P<0.05， P<0.01） compared with model group， with the 6×goat horn- and antelope horn-containing Fufang Lingjiao Jiangya pills groups showcasing the best effect. ConclusionReplacing antelope horn with 6×goat horn in Fufang Lingjiao Jiangya pills can achieve consistent blood pressure-lowering effect with the original prescription. The prescription may exert the effect by inhibiting the renin-angiotensin-aldosterone system （RAAS） and TLR4/NF-κB signaling pathways.

Objective To investigate whether microRNA-21-5p(miR-21)plays a protective role in hyperoxia-induced acute lung injury(HALI)by regulating ferroptosis through the STAT3/P53/SLC7A11 axis.Methods The interaction between STAT3 and P53 was analyzed by co-immunoprecipitation(Co-IP).Fifty 9-week-old male C57BL/6J mice were randomly divided into normoxia(Control)group,HALI group,miR-21 overexpression(miR-21)group,STAT3 inhibitor(HY-13818)group,and ferrostatin-1(Fer-1)group.After the mice from the miR-21 group received miR-21-5p AAV6 or empty vector via tracheal catheter instillation,the animals were then monitored for 3 weeks.The HY-13818 group was intraperitoneally injected with HY-13818(10 mg/kg)3 times weekly for 2 weeks.The Fer-1 group received 0.8 mg/kg ferrostatin-1 via tail vein injection once daily for 2 consecutive days during modeling.The HALI model was established by exposure to>90%oxygen.After 48 h of hyperoxia,blood samples were collected via orbital sampling for RT-PCR analysis of miR-21 expression.Lung tissues were harvested for wet/dry weight ratio and assessment of histopathological changes via HE staining for lung injury score.Activity of superoxide dismutase(SOD)and contents of malondialdehyde(MDA),Fe2?,glutathione(GSH),and reactive oxygen species(ROS)were measured using photocolorimetry,spectrophotometry and fluorometry.Western blotting was used to evaluate the protein expression of STAT3,P53,SLC7A11,and GPX4.Results The results of Co-IP showed that STAT3 could bind to P53.The HALI group exhibited obviously destroyed alveolar structure,disordered arrangement,thickened interval,with a large number of infiltrated neutrophils and collapsed alveoli,and had significantly increased pathological score of lung injury and ratio of lung Wwet/Ddry weight when compared with the Control group(P<0.05).In the miR-21 group,HY-13818 group and Fer-1 group,the severity of lung injury was significantly reduced,and the pathological score of lung injury and the ratio of Wwet/Ddry weight were decreased(P<0.05)when compared with the HALI group.Compared with the control group,the contents of MDA,Fe2+and ROS were increased(P<0.05),the activity of SOD and content of GSH were declined(P<0.05),the protein levels of STAT3 and P53 were increased(P<0.05),and those of SLC7A11 and GPX4 were decreased(P<0.05)in the HALI group.Compared with the HALI group,decreased MDA and ROS levels(P<0.05),enhanced SOD activity,Fe2+and GSH levels(P<0.05),down-regulation of STAT3 and P53(P<0.05)and up-regulation of SLC7A11 and GPX4(P<0.05)were observed in the miR-21 group and HY-13818 group.Conclusion MiR-21 alleviates HALI,which may be related to its inhibition of ferroptosis through the STAT3/P53/SLC7A11 axis.

The blue fluorescent carbon dots(TMCDs)and cyan fluorescent carbon dots(TMCDs-H2O)were synthesized fromm-phenylenediamine and tricarballylic acid through air-assisted melting polymerization and one-step hydrothermal method,respectively.Air purging could effectively inhibit the side reactions and reduce the derivative structures in the carbon dots product.The structure and morphology of these two materials were systematically characterized using liquid nuclear magnetic resonance spectroscopy(NMR),mass spectrometry(MS),and transmission electron microscopy.Compared to TMCDs-H2O((3.12±0.63)nm),TMCDs showed a smaller average particle size(approximately(1.85±0.02)nm).The NMR and MS analysis revealed that although the main structure of both types of carbon dots was similar,TMCDs exhibited a simpler structure with higher degree of polymerization.These results suggested that supramolecular interactions might introduce numerous small molecule derivatives into TMCDs-H2O particles,resulting in lower polymerization degree,multiple substructures,and larger particle size characteristics for this material.When employed as chemical sensors for metal ion detection,in the linear range of 1×10-5-5×10-4 mol/L,the detection limits of Fe3+by TMCDs and TMCDs-H2O were 3.3×10-6 mol/L and 3.8×10-6 mol/L,respectively.The experimental results demonstrated that the recoveries of CDs and inductively coupled plasma optical emission spectrometer(ICP-OES)were similarity,whereas TMCDs displayed a considerable relative standard deviation.This study demonstrated that endogenously derived structures in CDs could enhance the performance of metal ion sensing.

Organophosphorus nerve agents are the most threatening chemical warfare agents and terrorist agents.The number of nerve agents and their related chemicals involved in the verification of Chemical Weapon Convention(CWC)exceeds ten million,with the majority being isomers.Accurate structural identification of these chemicals has always been one of the challenges in CWC related verification analysis.In this work,a total of 17 kinds of alkyl phosphonate isomers and structural analogs from 5 groups were designed and synthesized,and then analyzed by gas chromatography-mass spectrometry(GC-MS)and gas chromatography-infrared spectroscopy(GC-FTIR).The spectra of isomers or structural analogs obtained from two techniques as well as the structural information provided therein were compared and analyzed.The results showed that for isomers or structural analogs with similar MS spectra,FTIR spectra could provided more structural fingerprint information of compounds and had advantages in confirming structures.Combined with the excellent separation ability of GC,GC-FTIR can be used to assist GC-MS in the structural confirmation of alkyl phosphates,achieving rapid and accurate identification of isomers or structural analogues.

Due to the immaturity of visualization and quantitative analysis methods,the utilization rate of level 3 characteristics is seriously insufficient.In this work,based on the wet-membrane method and scanning electrochemical microscopy(SECM),and the introduction of conductive black ink to enhance the visualization effect,a systematic level 3 feature quantitative method was developed.Firstly,the feasibility and effect of the multi-level characteristics extraction strategy of latent fingerprints was investigated.Then,the influences of various deposition conditions on the level 3 features were explored.The results showed that the higher the deposition pressure,the wider the ridges,and the smaller the pore size.Moreover,excessive oil content could cause the pore size to be smaller and even been covered.Subsequently,the quantitative method was established from various pore characteristics such as pore number,pore activity,pore size,pore-to-pore distance and pore-to-pore angle.The stability of the level 3 features(pore number,pore-to-pore distance and pore-to-pore angle)was confirmed via repeated experiments on the same fingerprint region.After stability test,the recognition ability of three indicators was investigated for different fingerprints,verifying the uniqueness of pore-to-pore distance and pore-to-pore angle.Finally,a multiple recognition strategy was proposed that combined frequency distribution fitting curves for pore-to-pore distance and angle with other level 3 details,and was successfully applied to incomplete fingerprint recognition.This ink-enhanced optical and electrochemical extraction method and quantitative analysis provided a new path for fingerprint recognition.

In this work,near infrared carbon quantum dots(NIR-CDs)were synthesized by hydrothermal method using biomass material Clausena lansium leaves.The synthesized NIR-CDs emitted maximum fluorescence signal at 677 nm,which was independent of excitation wavelength.The characterization results showed that there were abundant groups on the surface of NIR-CDs.Pd2+could form non-fluorescent compounds with the surface groups of NIR-CDs,resulting in fluorescence quenching(Fluorescence signal was denoted as F0).Because chlorpromazine hydrochloride(CPZ)parent nucleus contained unoxidized S atom,CPZ could form stable colored complex with Pd2+under acidic conditions.In the presence of CPZ,Pd2+dissociated from the surface of NIR-CDs and bonded with CPZ,so that the fluorescence signal could be restored(Fluorescence signal was denoted as F).An"on-off-on"fluorescence sensor was thus constructed.The fluorescence signal recovery value of NIR-CDs(△F=F-F0)showed a good linear relationship with the concentration of CPZ in the range of 5.68-28.43 μg/mL,and the detection limit(3σ)was 0.078 μg/mL.The sensor was applied to determination of CPZ in pharmaceutical preparations,and the recoveries were 94％-106％.The developed fluorescence sensor was expected to be used in quality control of actual pharmaceutical preparations.

Objective To investigate the distribution and evolutionary patterns of traditional Chinese medicine(TCM)syndromes and syndrome elements during the malignant transformation from chronic pancreatitis(CP)to pancreatic intraepithelial neoplasia(Pan IN)and pancreatic ductal adenocarcinoma(PDAC).Methods A retrospective analysis was conducted on 710 patients(330 of CP,104 of Pan IN,276 of PDAC)diagnosed pathologically or clinically at Shanxi Institute of Traditional Chinese Medicine from January 2021 to June 2024.Data including demographics,laboratory results,and TCM diagnostic information were recorded using EpiData 3.1.Syndrome and syndrome-element patterns were determined via factor analysis and K-means clustering using SPSS 27.0.Results The study identifies seven TCM syndrome types in CP,Pan IN,and PDAC.Among CP patients,the syndrome distribution was primarily liver-gallbladder damp-heat syndrome(22.42％)and gastrointestinal excess-heat syndrome(20.91％),with excess syndromes accounting for a higher proportion(43.33％);the syndrome elements were mainly heat(51.52％)and dampness(35.15％),with the disease location in the pancreas,related to the liver,spleen,and stomach.In Pan IN patients,the syndrome distribution was mainly spleen deficiency with dampness obstruction(23.08％)and liver-gallbladder damp-heat syndrome(17.31％),with mixed deficiency-excess syndrome accounting for a higher proportion(30.00％);the syndrome elements were mainly heat(41.35％),dampness(40.38％),and qi deficiency(37.50％),with the disease location in the pancreas,related to the spleen and liver.In PDAC patients,the syndrome distribution was mainly spleen deficiency with dampness obstruction(29.71％)and qi-blood deficiency syndrome(20.29％),with deficiency syndromes accounting for a higher proportion(49.82％);the syndrome elements were mainly qi deficiency(50.00％)and dampness(36.23％),with the disease location in the pancreas,related to the spleen,kidney,and liver.Chi-square tests revealed significant differences in syndrome types(TCM syndromes:x2=100.419,P＜0.001;deficiency-excess syndromes:x2=73.722,P＜0.001),syndrome elements(x2=117.384,P＜0.001),and disease locations(x2=127.191,P＜0.001)across different stages of CP malignant transformation.During CP malignant progression,the proportion of excess syndromes gradually decreased(43.33％→12.32％),while deficiency syndromes increased(26.67％→49.82％).Excess syndrome elements(fire,heat,qi stagnation,blood stasis)decreased(53.48％→25.36％),whereas deficiency syndrome elements(qi deficiency,yin deficiency,yang deficiency,blood deficiency)increased(25.15％→49.64％).The disease location shifted from primarily the liver,spleen,and stomach in the inflammatory stage to the spleen and kidney in the cancerous stage.Conclusion The malignant transformation of CP basically involves the pancreas,is correlated early with liver and spleen-stomach and later with kidney,and exhibits a progression from excess to deficiency in the pattern of"deficiency interweaved with excess syndrome,transition from excess to deficiency,and progressive spleen deficiency".

In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial products of Reduning Injection. The batch reporting rate was estimated according to the report of Reduning Injection in the direct adverse drug reaction(ADR) reporting system of the drug marketing authorization holder of the Center for Drug Reevaluation of the National Medical Products Administration(National Center for ADR Monitoring) from August 2021 to August 2022. According to the batch reporting rate, the samples of Reduning Injection were classified into those with potential risks and those being safe. No processing, random oversampling(ROS), random undersampling(RUS), and synthetic minority over-sampling technique(SMOTE) were then employed to balance the unbalanced data. After the samples were classified according to appropriate sampling methods, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA), uninformative variables elimination(UVE), and genetic algorithm(GA) were respectively adopted to screen the features of spectral data. Then, support vector machine(SVM), logistic regression(LR), k-nearest neighbors(KNN), naive bayes(NB), random forest(RF), and artificial neural network(ANN) were adopted to establish the risk prediction models. The effects of the four feature extraction methods on the accuracy of the models were compared. The optimal method was selected, and bayesian optimization was performned to optimize the model parameters to improve the accuracy and robustness of model prediction. To explore the correlations between potential risks of clinical use and quality test data, TreeNet was employed to identify potential quality parameters affecting the clinical safety of Reduning Injection. The results showed that the models established with the SVM, LR, KNN, NB, RF, and ANN algorithms had the F1 scores of 0.85, 0.85, 0.86, 0.80, 0.88, and 0.85 and the accuracy of 88%, 88%, 88%, 85%, 91%, and 88%, respectively, and the prediction time was less than 5 s. The results indicated that the established models were accurate and efficient. Therefore, near infrared spectroscopy combined with machine learning algorithms can quickly predict the potential risks of clinical use of Reduning Injection in batches. Three key quality parameters that may affect clinical safety were identified by TreeNet, which provided a scientific basis for improving the safety standards of Reduning Injection.
Spectroscopy, Near-Infrared/methods* ; Drugs, Chinese Herbal/administration & dosage* ; Machine Learning ; Algorithms ; Humans ; Quality Control