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

High mobility group box 1 (HMGB1), when released extracellularly, plays a pivotal role in the development of spinal cord synapses and exacerbates autoimmune diseases within the central nervous system. In experimental autoimmune encephalomyelitis (EAE), a condition that models multiple sclerosis, the levels of extracellular HMGB1 and interleukin-33 (IL-33) have been found to be inversely correlated. However, the mechanism by which IL-33 deficiency enhances HMGB1 release during EAE remains elusive. Our study elucidates a potential signaling pathway whereby the absence of IL-33 leads to increased binding of P300/CBP-associated factor with HMGB1 in the nuclei of astrocytes, upregulating HMGB1 acetylation and promoting its release from astrocyte nuclei in the spinal cord of EAE mice. Conversely, the addition of IL-33 counteracts the TNF-α-induced increase in HMGB1 and acetylated HMGB1 levels in primary astrocytes. These findings underscore the potential of IL-33-associated signaling pathways as a therapeutic target for EAE treatment.
Animals ; Encephalomyelitis, Autoimmune, Experimental/metabolism* ; Astrocytes/metabolism* ; Interleukin-33/metabolism* ; HMGB1 Protein/metabolism* ; Acetylation ; Mice, Knockout ; Mice, Inbred C57BL ; p300-CBP Transcription Factors/metabolism* ; Mice ; Spinal Cord/metabolism* ; Cells, Cultured ; Female ; Signal Transduction

Objective To investigate the effects of probiotics combined with dietary intervention on pe-ripheral blood glucose and lipid metabolism indicators,placental tissue insulin signaling pathway proteins ex-pression and pregnant outcome in the patients with gestational diabetes mellitus(GDM).Methods A total of 83 patients with GDM in this hospital from December 2021 to December 2022 were selected as the study sub-jects and divided into the probiotics group(probiotics combined with diet intervention,43 cases)and control group(simple diet intervention,40 cases)by the random number table method.The levels of peripheral blood glucose,lipid and insulin resistance related indicators before the intervention and in 8 weeks after the interven-tion were compared between the two groups.The histological changes of placenta were observed by HE stai-ning.The pathological indicators were compared between the two groups.The expression levels of insulin re-ceptor substrate-1(IRS-1),glucose transporter 4(GLUT4)and synaptosome-associated protein of 23 kDa(SNAP23)in placental tissue were detected by immunohistochemistry.The pregnant adverse outcomes were compared between the two groups,and the clinical efficacy of probiotics was evaluated.Results Compared with the control group,the levels of fasting blood glucose(FBG),fasting insulin(FINS),serum triglyceride(TG)and low density lipoprotein cholesterol(LDL-C)in 8 weeks after intervention in the probiotics group were significantly decreased(P＜0.05),and the level of serum high density lipoprotein cholesterol(HDL-C)was significantly increased(P＜0.05).There were no significant differences in the incidence rates of poor villi maturation,thickening of dry villi arterioles and capillary filling in villi interstitial between the two groups(P＞0.05).Compared with the control group,the expression levels of IRS-1,GLUT4 and SNAP23 in placen-tal tissue of the probiotics group were significantly increased(P＜0.05).The incidence rates of neonatal hy-poglycemia and neonatal hyperbilirubinemia in the probiotics group were significantly lower than those in the control group(P＜0.05).Conclusion Compared with simple dietary intervention,probiotics combined with dietary intervention has more advantages in improving glucose and lipid metabolism of GDM patients,moreo-ver reduces the adverse events occurrence in newborns.

Objective Data mining technology was used to mine the medication rules of the prescriptions used in the treatment of pediatric atopic dermatitis by Chinese medical master XUAN Guo-Wei.Methods The medical records of effective cases of pediatric atopic dermatitis treated by Professor XUAN Guo-Wei at outpatient clinic were collected,and then the medical data were statistically analyzed using frequency statistics,association rule analysis and cluster analysis.Results A total of 242 prescriptions were included,involving 101 Chinese medicinals.There were 23 commonly-used herbs,and the 16 high-frequency herbs(frequency＞100 times)were Glycyrrhizae Radix et Rhizoma,Saposhnikoviae Radix,Glehniae Radix,Perillae Folium,Ophiopogonis Radix,Cynanchi Paniculati Radix et Rhizoma,Microctis Folium,Dictamni Cortex,Scrophulariae Radix,Coicis Semen,Cicadae Periostracum,Lilii Bulbus,Rehmanniae Radix,Kochiae Fructus,Sclerotium Poriae Pararadicis,and Euryales Semen.The analysis of the medicinal properties showed that most of the herbs were sweet and cold,and mainly had the meridian tropism of the spleen,stomach and liver meridians.The association rule analysis yielded 24 commonly-used drug combinations and 20 association rules.Cluster analysis yielded 2 core drug combinations.Conclusion For the treatment of pediatric atopic dermatitis,Professor XUAN Guo-Wei focuses on the clearing,supplementing and harmonizing therapies,and the medication principle of"supporting the healthy-qi to eliminate the pathogen,and balancing the yin and yang"is applied throughout the treatment.

Objective:To explore the diagnostic value of serum cystatin C (CysC) and C1q tumor necrosis factor-related protein 9 (CTRP9) levels for diabetic retinopathy (DR) and diabetic macular edema (DME) in patients with type 2 diabetes.Methods:A cross-sectional study was conducted.A total of 135 patients with type 2 diabetes, aged 45-75 years, who were treated in Gansu Provincial Hospital from April 2021 to April 2022 were included.According to DR grading standard, patients were divided into non-DR (NDR) group, non-proliferative DR (NPDR) group and proliferative DR (PDR) group, with 45 patients in each group.The DR patients were subdivided into DME group (51 cases) and non-DME group (39 cases).A total of 45 healthy subjects were selected as the normal control group.Fasting peripheral venous blood was collected to detect serum glycosylated hemoglobin, fasting blood glucose, triacylglycerol, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, CysC and CTRP9 levels.The expression of CysC and CTRP9 levels among different groups were compared.The independent influencing factors of DR and DME were evaluated by multivariate logistic regression analysis model.The diagnostic value of serum CysC and CTRP9 in DR and DME were evaluated by receiver operating characteristic (ROC) curve.This study adhered to the Declaration of Helsinki and the study protocol was approved by the Ethics Committee of Gansu Provincial Hospital (No.2021-301).All patients were informed about the purpose and methods of the study and signed an informed consent form.Results:Serum CysC levels in normal control group, NDR group, NPDR group and PDR group were 0.74(0.67, 0.83), 1.03(0.85, 1.22), 1.40(0.98, 1.63) and 1.66(1.31, 1.85)mg/L, respectively, showing a gradually increasing trend, and the serum CTRP9 levels were (136.90±14.95), (120.23±16.31), (109.50±14.71) and (90.99±13.88)pg/ml, respectively, showing a gradually decreasing trend, with statistically significant overall comparison differences among groups ( Z=89.430, P<0.001; F=74.242, P<0.001), the comparison within groups was statistically significant (all at P<0.05).Compared with non-DME group, the serum CysC level was significantly increased and serum CTRP9 level was significantly decreased in DME group (both P<0.05).Multivariate logistic regression analysis showed that serum CysC (odds ratio [ OR]=19.742, 95% confidence interval [ CI]: 4.515-86.316, P<0.001) was the independent risk influencing factors for the occurrence of DR, and CTRP9 ( OR=0.937, 95% CI: 0.908-0.966, P<0.001) was a protective factor for the occurrence of DR.Serum CTRP9 level ( OR=0.838, 95% CI: 0.778-0.903, P<0.001) was a protective factor for DME.The ROC curve showed that the area under ROC curve (AUC) for serum CysC and CTRP9 levels alone and in combination for the diagnosis of DR in patients with type 2 diabetes mellitus complicated by DR were 0.798, 0.802 and 0.870, respectively.The cutoff values of serum CysC and CTRP9 levels to obtain the best diagnostic efficacy were 1.34 mg/L and 110.12 pg/ml, respectively.The AUC for serum CysC and CTRP9 level alone and in combination for the diagnosis of DME in DR patients were 0.682, 0.923 and 0.923, respectively.The cutoff value of serum CTRP9 level to obtain optimal diagnostic efficacy was 104.68 pg/ml. Conclusions:The enhanced expression of serum CysC level and reduced expression of serum CTRP9 level are the risk factors for the development of DR in type 2 diabetes patients.The decrease of serum CTRP9 level is one of the risk factors for the development of DME in DR patients.

In order to promote the innovative application of Sanjiao theory and Yingwei theory， this paper tries to apply the ''Sanjiao-Yingwei'' Qi transformation theory to the treatment of tumor diseases， integrating it with T cell exhaustion mechanism to elaborate on its scientific connotation and using network pharmacology and bioinformatics to elucidate the correlation between the anti-tumor mechanism of ''Sanjiao-Yingwei'' Qi transformation and T cell exhaustion. The ''Sanjiao-Yingwei'' Qi transformation function is closely related to the immunometabolic ability of the human body， and the ''Sanjiao-Yingwei'' Qi transformation system constitutes the immunometabolic exchange system within and outside the cellular environment. Cancer toxicity is generated by the fuzzy Sanjiao Qi， and the long-term fuzzy Sanjiao Qi is the primary factor leading to T cell exhaustion， which is related to the long-term activation of T cell receptors by the high tumor antigen load in the tumor microenvironment. Qi transformation malfunction of the Sanjiao produces phlegm and collects stasis， which contributes to T cell exhaustion and is correlated with nutrient deprivation， lipid accumulation， and high lactate levels in the immunosuppressed tumor microenvironment， as well as with the release of transforming growth factor-β and upregulated expression of programmed death receptor-1 by tumor-associated fibroblasts and platelets in the tumor microenvironment. Ying and Wei damage due to Sanjiao Qi transformation malfunction is similar to the abnormal manifestations such as progressive loss of exhausted T cell effector function and disturbance of cellular energy metabolism. Guizhi decoction， Shengming decoction， and Wendan decoction can correct T cell exhaustion and exert anti-tumor effects through multi-target and multi-pathways by regulating ''Sanjiao-Yingwei'' Qi transformation， and hypoxia inducible factor-1α （HIF-1α） may be one of the main pathways to correct T cell exhaustion. It was found that HIF-1α may be one of the important prognostic indicators in common tumors by bioinformatics. The use of the ''Sanjiao-Yingwei'' Qi transformation method may play an important part in improving the prognosis of tumor patients in clinical practice.

AIM To study the phenylethanoid glycosides from Verbenae Herba.METHODS The 80%ethanol extract from Verbenae Herba was isolated and purified by silica gel,Sephadex LH-20,TLC and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULTS Nine compounds were isolated and identified as verbofficoside A(1),cistanoside D(2),epimeredinoside A(3),verbascoside(4),isoverbascoside(5),cistanoside C(6),cistanoside F(7),decaffeoylacteoside(8),jionoside C(9).CONCLUSION Compound 1 is a new compound.Compounds 3 and 6-9 are isolated from this plant for the first time.

Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93％and a HCV positive rate of 0.54％.The positive rate of HCV in male and female patients were 0.60％and 0.48％,respectively,with a statistically sig-nificant difference(x2=47.18,P＜0.001).The HCV positive rate in the 50-＜60 age group was the highest(0.76％),followed by the 40-＜50 age group(0.71％).Difference among all age groups was statistically signifi-cant(x2=696.74,P＜0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57％;775 patients were infected with HCV,with a positive rate of 2.21％.In 2020,HCV positive rates in hospitals of different scales were 0.46％-0.63％,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P＜0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19％-0.81％,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06％-0.82％,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95％and 3.48％,respectively.Followed by departments of orthopedics(7.72％),gastroenterology(3.77％),nephrology(3.57％)and general intensive care unit(ICU,3.10％)in 2003,as well as departments of gastroenterology(1.35％),nephrology(1.18％),endocrinology(0.91％),and general intensive care unit(ICU,0.79％)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.

Objective To investigate the attributable risk(AR)of Acinetobacter baumannii(AB)infection in criti-cally ill patients.Methods A multicenter retrospective cohort study was conducted among adult patients in inten-sive care unit(ICU).Patients with AB isolated from sterile body fluid and confirmed with AB infection in each cen-ter were selected as the infected group.According to the matching criteria that patients should be from the same pe-riod,in the same ICU,as well as with similar APACHE Ⅱ score(±5 points)and primary diagnosis,patients who did not infect with AB were selected as the non-infected group in a 1:2 ratio.The AR was calculated.Results The in-hospital mortality of patients with AB infection in sterile body fluid was 33.3％,and that of non-infected group was 23.1％,with no statistically significant difference between the two groups(P=0.069).The AR was 10.2％(95％CI:-2.3％-22.8％).There is no statistically significant difference in mortality between non-infected pa-tients and infected patients from whose blood,cerebrospinal fluid and other specimen sources AB were isolated(P＞0.05).After infected with AB,critically ill patients with the major diagnosis of pulmonary infection had the high-est AR.There was no statistically significant difference in mortality between patients in the infected and non-infec-ted groups(P＞0.05),or between other diagnostic classifications.Conclusion The prognosis of AB infection in critically ill patients is highly overestimated,but active healthcare-associated infection control for AB in the ICU should still be carried out.

Protein as the allergens could lead to allergy. In addition, a widespread class of allergens were known as glycans of N-glycoprotein. N-glycoprotein contained oligosaccharide linked by covalent bonds with protein. Recently,studies implicated that allergy was associated with glycans of heterologous N-glycoprotein found in food, inhalants, insect toxins, etc. The N-glycan structure of N-glycoprotein allergen has exerted an influence on the binding between allergens and IgE, while the recognition and presentation of allergens by antigen-presenting cells (APCs) were also affected. Some researches showed thatN-glycan structure of allergen was remodeled by N-glycosidase, such as cFase I, gpcXylase, as binding of allergen and IgE partly decreased. Thus, allergic problems caused by N-glycoproteins could potentially be solved by modifying or altering the structure ofN-glycoprotein allergens, addressing the root of the issue. Mechanism of N-glycans associated allergy could also be elaborated through glycosylation enzymes, alterations of host glycosylation. This article hopes to provide a separate insight for glycoimmunology perspective, and an alternative strategy for clinical prevention or therapy of allergic diseases.