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

This study investigates the mechanism by which Xintong Granules improve myocardial ischemia-reperfusion injury(MIRI) through the regulation of gut microbiota and their metabolites, specifically short-chain fatty acids(SCFAs). Rats were randomly divided based on body weight into the sham operation group, model group, low-dose Xintong Granules group(1.43 g·kg~(-1)·d~(-1)), medium-dose Xintong Granules group(2.86 g·kg~(-1)·d~(-1)), high-dose Xintong Granules group(5.72 g·kg~(-1)·d~(-1)), and metoprolol group(10 mg·kg~(-1)·d~(-1)). After 14 days of pre-administration, the MIRI rat model was established by ligating the left anterior descending coronary artery. The myocardial infarction area was assessed using the 2,3,5-triphenyltetrazolium chloride(TTC) staining method. Apoptosis in tissue cells was detected by the terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling(TUNEL) assay. Pathological changes in myocardial cells and colonic tissue were observed using hematoxylin-eosin(HE) staining. The levels of tumor necrosis factor-α(TNF-α), interleukin-1β(IL-1β), interleukin-6(IL-6), creatine kinase MB isoenzyme(CK-MB), and cardiac troponin T(cTnT) in rat serum were quantitatively measured using enzyme-linked immunosorbent assay(ELISA) kits. The activities of lactate dehydrogenase(LDH), creatine kinase(CK), and superoxide dismutase(SOD) in myocardial tissue, as well as the level of malondialdehyde(MDA), were determined using colorimetric assays. Gut microbiota composition was analyzed by 16S rDNA sequencing, and fecal SCFAs were quantified using gas chromatography-mass spectrometry(GC-MS). The results show that Xintong Granules significantly reduced the myocardial infarction area, suppressed cardiomyocyte apoptosis, and decreased serum levels of pro-inflammatory cytokines(TNF-α, IL-1β, and IL-6), myocardial injury markers(CK-MB, cTnT, LDH, and CK), and oxidative stress marker MDA. Additionally, Xintong Granules significantly improved intestinal inflammation in MIRI rats, regulated gut microbiota composition and diversity, and increased the levels of SCFAs(acetate, propionate, isobutyrate, etc.). In summary, Xintong Granules effectively alleviate MIRI symptoms. This study preliminarily confirms that Xintong Granules exert their inhibitory effects on MIRI by regulating gut microbiota imbalance and increasing SCFA levels.
Animals ; Gastrointestinal Microbiome/drug effects* ; Rats ; Male ; Myocardial Reperfusion Injury/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Rats, Sprague-Dawley ; Apoptosis/drug effects* ; Humans ; Tumor Necrosis Factor-alpha/metabolism* ; Interleukin-6/genetics* ; Malondialdehyde/metabolism*

OBJECTIVES: To report the development, validation, and findings of the Multi-dimensional Attention Rating Scale (MARS), a self-report tool crafted to evaluate six-dimension attention levels. METHODS: The MARS was developed based on Classical Test Theory (CTT). Totally 202 highly educated healthy adult participants were recruited for reliability and validity tests. Reliability was measured using Cronbach's alpha and test-retest reliability. Structural validity was explored using principal component analysis. Criterion validity was analyzed by correlating MARS scores with the Toronto Hospital Alertness Test (THAT), the Attentional Control Scale (ACS), and the Attention Network Test (ANT). RESULTS: The MARS comprises 12 items spanning six distinct dimensions of attention: focused attention, sustained attention, shifting attention, selective attention, divided attention, and response inhibition.As assessed by six experts, the content validation index (CVI) was 0.95, the Cronbach's alpha for the MARS was 0.78, and the test-retest reliability was 0.81. Four factors were identified (cumulative variance contribution rate 68.79%). The total score of MARS was correlated positively with THAT (r = 0.60, P < 0.01) and ACS (r = 0.78, P < 0.01) and negatively with ANT's reaction time for alerting (r = -0.31, P = 0.049). CONCLUSIONS The MARS can reliably and validly assess six-dimension attention levels in real-world settings and is expected to be a new tool for assessing multi-dimensional attention impairments in different mental disorders.
Humans ; Adult ; Male ; Attention/physiology* ; Female ; Middle Aged ; Reproducibility of Results ; Young Adult ; Psychometrics

Eighteen compounds were isolated from the methanol extract of the fruits of Litsea cubeba by silica gel, ODS, Sephadex LH-20 column chromatography, semi-preparative RP-HPLC, chiral HPLC and recrystallization. Their structures were elucidated by spectroscopic analyses and by comparison with reported spectroscopic data and physicochemical properties, and the absolute configurations of the enantiomers were established by experimental and calculated electronic circular dichroism spectra. These compounds were identified as (+)-(R)-4-hydroxypiperitenone (1a), (-)-(S)-4-hydroxypiperitenone (1b), (3S,4S,6R)-3,6-dihydroxy-1-menthene (2), (4S,5R)-4-hydroxy-5-isopropyl-2-methylcyclohex-2-en-1-one (3), (R)-6-hydroxy-3-(2-hydroxypropan-2-yl)-6-methylcyclohex-2-enone (4), (4S,6R)-4-hydroxy-6-isopropyl-3-methylcyclohex-2-enone (5), (1R,3S,4R)-3-hydroxy isopulegol (6), subamone (7), (6S)-3,7-dimethyl-7-hydroxy-2(Z)-octen-6-olide (8), (6S)-6,7-dihydroxy-3,7-dimethyloct-2(Z)-enoate (9), holostylactone (10), sesamin (11), dimethylmatairesinol (12), p-hydroxybenzoylcarbinol (13), syringaldehyde (14), p-hydroxybenzaldehyde (15), 4-hydroxy-3-methoxybenzaldehyde (16), 5,4ʹ-dihydroxy-7-methoxyflavone (17). Among them, compounds 1a and 1b were a pair of new monoterpenoid enantiomers, 8 and 9 were new natural products, 2-7, 10, 11 and 17 were isolated from Litsea genus for the first time. The in vitro anti-inflammatory effects of compounds 1-17 were evaluated using lipopolysaccharide-stimulated RAW264.7 cells, the results showed that compound 14 exhibited significant anti-inflammatory activity with NO inhibitory rate of 66.27% at a concentration of 40 μmol·L^-1.

ATG8-binding proteins play a key role in autophagy, selective autophagy or non-autophagy process by interacting between ATG8 and the ATG8-interacting motif (AIM) or the ubiquitin-interacting motif (UIM). There is great progress of ATG8-binding proteins in yeast and mammalian studies. However, the plant domain is still lagging behind. Therefore, the structure characteristics of plant ATG8 binding protein were firstly outlined. Unlike the single copy of ATG8 gene in yeast, many homologous genes have been identified in plant. The LIR/ AIM-docking site (LDS) of ATG8 protein contains W and L pockets and is responsible for binding to AIM. The ATG8 protein binds to UIM-containing proteins via UIM-docking site (UDS) instead of LDS. UDS is in the opposite position to LDS, so the ATG8 can bind both AIM and UIM proteins. Secondly, the structure and function of ATG8-binding proteins, especially the selective autophagy receptors, were systematically described. The protein NBR1 and Joka2, as proteaphagy receptors, guide ubiquitination protein aggregates to autophagosome for degradation by binding to AIM and ATG8 in Arabidopsis and tobacco, respectively. AtNBR1 also promotes plant immunity by binding the capsid protein of cauliflower mosaic virus and silencing suppressor HCpro of turnip mosaic virus, mediating pathogen autophagy. AtNBR1 still degrades chloroplast by microautophagy under photoinjure or chlorophagy during ibiotic stress. And the protein ORM mediates the degradation of plant immune receptor flagellin sensing 2 (FLS2) through AIM binding to ATG8. Interestingly, ATI1 and ATI2 participate in both chlorophagy and ERphagy. Otherwise, ER membrane protein AtSec62, soluble protein AtC53, and ubiquitin-fold modifier1-specific ligase 1 (UFL1) can be directly bound to ATG8 as ER autophagy receptors. As pexophagy receptor, AtPEX6 and AtPEX10 bind to ATG8 via AIM and participate in pexophagy. RPN10, as a 26S proteasome subunit, whose C-terminal UIM1 and UIM2 bind ubiquitin and ATG8, respectively, mediates the selective autophagy degradation of 26S proteasome inactivation when fully ubiquitinated. Plant-specific mitochondrial localization proteins FCS-like zinc finger (FLZ) and friendly (FMT) may also be mitophagy receptors. CLC2 binds to ATG8 via the AIM-LDS docking site and is recruited to autophagy degradation on the Golgi membrane. The tryptophan-rich sensory protein (TSPO) in Arabidopsis was involved in clearing free heme, porphyrin and plasma membrane intrinsic protein 2;7 (PIP2;7) through the combination of AIM and ATG8. The conformation of GSNOR1 changes during anoxia, exposing the interaction between AIM and ATG8, leading to selective degradation of GSNOR1. At last, the ATG8 binding proteins involved in autophagosome closure, transport and synthetic synthesis was summarized. For example, plant-specific FYVE domain protein required for endosomal sorting 1 (FREE1) is involved in the closure of autophagosomes during nutrient deficiency. Therefore, according to the recent research advances, the structure and function of plant ATG8-binding proteins were systematically summarized in this paper, in order to provide new ideas for the study of plant selective autophagy and autophagy.

Objective To investigate the levels of plasma bile acids(BA)in patients with primary liver cancer(PLC)or metastatic liver cancer(MLC)and their correlation with clinical indicators,as well as the value of plasma BAs combined with alpha-fetoprotein(AFP)in the diagnosis of PLC.Methods This study was conducted among 75 patients with PLC and 79 patients with MLC who attended Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from August 2020 to September 2021 and had a confirmed diagnosis based on histopathological and imaging findings.Peripheral blood samples were collected from all patients,and serum and plasma were separated.Colorimetry and chromatography were used to measure biochemical parameters;electrochemiluminescence immunoassay was used to measure the levels of tumor markers;liquid chromatography-tandem mass spectrometry was used to measure the content of BA.The t-test was used for comparison of normally distributed continuous data,and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data;the Spearman's coefficient was used for correlation analysis;the receiver operating characteristic(ROC)curve was used to evaluate clinical diagnostic efficacy.Results The PLC group had significantly lower levels of total cholesterol,triglyceride,low-density lipoprotein cholesterol,and apolipoprotein B than the MLC group(U=1 598,1 255,909,and 889,all P＜0.05).Compared with the MLC group,the PLC group had a significantly higher level of AFP and a significantly lower level of carcinoembryonic antigen(U=1 873 and 926,both P＜0.05).Compared with the MLC group,the PLC group had significantly higher levels of TBA,CA,CDCA,UDCA,TCA,TCDCA,GCA,GCDCA,TUDCA,and GUDCA and a significantly lower level of DCA(all P＜0.05).In the total population,the levels of TBA,CDCA,GCA,GCDCA,GUDCA,TCA,TCDCA,and TUDCA were significantly positively correlated with the level of AFP(all P＜0.05).In the patients with PLC,the levels of GCA,TCA,TCDCA,and TUDCA were significantly positively correlated with the level of AFP(all P＜0.05).Combined measurement of AFP+TCA+GCA+TCDCA had an area under the ROC curve of 0.822(95%confidence interval:0.746-0.898,P＜0.000 1),suggesting that it had the highest diagnostic efficacy.Conclusion There are significant differences in the levels of plasma BA between the patients with PLC and those with MLC,and the differentially expressed BAs are closely associated with liver function impairment and the increase in AFP.BAs combined with AFP has a better clinical value in the diagnosis of PLC.

OBJECTIVE To provide reference for improving the disease diagnosis related groups （DRG） payment reform， promoting refined hospital operation and management and rational drug use. METHODS Taking the orthopedic department of our hospital （the Third Affiliated Hospital of Anhui Medical University） as the research object， based on evidence-based medicine， a medication clinical pathway （hereinafter referred to as medication pathway） for DRG diseases in this department was constructed and implemented. All patients who met the DRG disease were included in the medication path management， and the patients in the same DRG disease group were treated with the same treatment method. Segmented regression model （SRM） was adopted to analyze the effects of medication pathway on the medical service capacity， efficiency and quality of our hospital. RESULTS During the implementation of medication pathway， significant decreases were observed in average length of hospital stay， cost per hospitalization， the proportion of medication expenses， medication cost per hospitalization and defined daily dose； the proportion of medical service revenue and the qualified rate of medical orders significantly increased （P＜0.05）. After the implementation of medication pathway， the average length of hospital stay and defined daily dose continued to decrease， and the qualified rate of medical orders also continued to significantly increase （P＜0.05）. CONCLUSIONS The implementation of medication pathway enhances the quality of medical services， improves operational efficiency， reduces medical expenses， and contributes to the development of a refined hospital management system.