AIM To study the chemical constituents from the leaves of Cyanocarya paliurus(Batalin)Iljinskaja and their α-glucosidase inhibitory activities.METHODS The 95%ethanol extract from the leaves of C.paliurus was isolated and purified by macroporous resin,silica gel,Sephadex LH-20,polyamide,C18 reversed-phase silica gel and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.Their α-glucosidase inhibitory activities were evaluated by PNPG.RESULTS Fifteen compounds were isolated and identified as cyclopaloside C(1),cyclopaloside A(2),juglanosides E(3),vaccinin A(4),ent-murin A(5),kaempferol 3-O-α-L-rhamnopyranoside(6),kaempferol-3-O-β-D-glucopyranoside(7),kaempferol-3-O-β-D-glucuronide methyl ester(8),kaempferol-3-O-β-D-glucuronide ethyl ester(9),kaempferol-3-O-β-D-glucuronide butyl ester(10),quercetin-3-O-α-L-rhamnopyranoside(11)quercetin-3-O-β-D-glucopyranoside(12),quercetin-3-O-β-D-galactopyranoside(13),quercetin-3-O-β-D-glucuronide butyl ester(14),dihydrokaempferol(15).The IC50 value of total extracts ihibited α-glucosidase was(1.83±0.04)μg/mL,and the IC50 values of compounds 1,4-5 were(29.48±1.86),(0.50±0.07),(0.71±0.07)μmol/L,respectively.CONCLUSION Compound 1 is a new tetrahydronaphthalene glycoside.Compounds 4-5,8-10 and 14 are isolated from the leaves of C.paliurus for the first time.Compounds 4-5 are relatively rare flavonoid lignans with potential inhibitory activities against α-glucosidase.

Atherosclerosis caused by disorders of lipid metabolism is the main pathological basis of atherosclerotic cardiovascular disease.Statins are the cornerstone of lipid-modulating therapy for this type of disease,but in practice there are still some patients with suboptimal lipid management.Proprotein convertase subtilisin/kexin type 9(PCSK9)inhibitors have been gradually applied as a new class of lipid-modulating drugs for the treatment in patients with this type of disease,and recent studies have shown that in addition to regulating lipid metabolism,PCSK9 inhibitors also have potential anti-inflammatory and anti-platelet activation effects.This article sorts out the multiple pharmacological mechanisms of action of PCSK9 inhibitors and the current status of clinical research of PCSK9 inhibitors.Besides,it discusses the factors that may affect the efficacy of PCSK9 inhibitors,in order to provide a reference for the safe and rational medication of PCSK9 inhibitors.

Objective:To investigate the prognostic value of enteroscopic grading for the prognostic assessment of patients with malignant hematological diseases who developed intestinal acute graft-versus-host disease (IT-aGVHD) after unrelated cord blood transplantation (UCBT) .Methods:Fifty patients with IT-aGVHD who developed hormone resistance after UCBT from June 2016 to June 2023 at Anhui Provincial Hospital were collected to compare the effective and survival rates of IT-aGVHD treatment in the group with milder enteroscopic mucosal injury (27 cases, enteroscopic grading of Ⅰ and Ⅱ) and the group with more severe injury (23 cases, enteroscopic grading of Ⅲ and Ⅳ) and to retrospectively analyze the factors affecting patients’ prognosis.Results:Patients in the mild and severe groups had an effective rate of 92.6% and 47.8% at 28 days after colonoscopy ( P<0.001), 81.5% and 39.1% at 56 days after colonoscopy ( P=0.002), with optimal effective rate of 92.6% and 65.2% ( P=0.040), respectively, and the differences were statistically significant. The multifactorial analysis found that enteroscopic grading was an independent risk factor affecting the effective rate of IT-aGVHD treatment. The overall survival rate at 2 years after colonoscopy was 70.4% (95% CI 52.0% -88.8% ) and 34.8% (95% CI 14.8% -54.8% ) for patients in the mild and severe groups, respectively, and the difference was statistically significant ( P=0.003). Multifactorial analysis revealed that enteroscopic grading, cytomegalovirus infection status, second-line treatment regimen, and patients’ age were independent risk factors for survival. Conclusion:The treatment efficacy and prognosis of patients in the group with less severe enteroscopic injury (grades Ⅰ and Ⅱ) were better than those in the group with more severe injury (grades Ⅲ and Ⅳ) .

MHNTs@PDA@ZIF-8 with rod-shaped core-shell structures was synthesized and used as sorbent in magnetic solid phase extraction(MSPE).MHNTs@PDA@ZIF-8-MSPE method coupled with gas chromatography-mass spectrometry(GC-MS)was employed to analyze sixteen kinds of polycyclic aromatic hydrocarbons(PAHs)in tea beverages.Vibrating sample magnetometer(VSM),Fourier transform infrared spectroscopy(FT-IR),X-ray diffraction(XRD),scanning electron microscopy(SEM)and nitrogen adsorption-desorption techniques were used to characterize the MHNTs@PDA@ZIF-8.The results demonstrated that the MHNTs@PDA@ZIF-8 exhibited significant magnetic properties and a large specific surface area.The experimental conditions that could affect MSPE were investigated,including adsorbent dosage,extraction time,desorption time,ionic strength,desorption solvent type,and desorption solvent volume.The optimal conditions were 10 mg of MHNTs@PDA@ZIF-8 as adsorbent,90 s under vortex extraction,and ultrasonic desorption for 60 s with 1 mL ofn-hexane.The sixteen kinds of PAHs showed good linearity in the concentration range of 5-500 μg/L(r2≥0.995).The limits of detection(S/N=3)and quantitation(S/N=10)were in the range of 0.1-0.8 μg/L and 0.3-2.6 μg/L,respectively.The recoveries of the method ranged from 60.9%to 114.7%,with relative standard deviations(n=3)ranging from 0.2%to 9.2%when the addition levels of sixteen kinds of PAHs were 10,50,and 100 μg/L.The method was simple,fast,sensitive and environmentally friendly,and suitable for detecting sixteen kinds of PAHs in tea beverages.

Objective The purpose of this study was to investigate the bacterial communities of biting midges and ticks collected from three sites in the Poyang Lake area,namely,Qunlu Practice Base,Peach Blossom Garden,and Huangtong Animal Husbandry,and whether vectors carry any bacterial pathogens that may cause diseases to humans,to provide scientific basis for prospective pathogen discovery and disease prevention and control. Methods Using a metataxonomics approach in concert with full-length 16S rRNA gene sequencing and operational phylogenetic unit(OPU)analysis,we characterized the species-level microbial community structure of two important vector species,biting midges and ticks,including 33 arthropod samples comprising 3,885 individuals,collected around Poyang Lake. Results A total of 662 OPUs were classified in biting midges,including 195 known species and 373 potentially new species,and 618 OPUs were classified in ticks,including 217 known species and 326 potentially new species.Surprisingly,OPUs with potentially pathogenicity were detected in both arthropod vectors,with 66 known species of biting midges reported to carry potential pathogens,including Asaia lannensis and Rickettsia bellii,compared to 50 in ticks,such as Acinetobacter lwoffii and Staphylococcus sciuri.We found that Proteobacteria was the most dominant group in both midges and ticks.Furthermore,the outcomes demonstrated that the microbiota of midges and ticks tend to be governed by a few highly abundant bacteria.Pantoea sp7 was predominant in biting midges,while Coxiella sp1 was enriched in ticks.Meanwhile,Coxiella spp.,which may be essential for the survival of Haemaphysalis longicornis Neumann,were detected in all tick samples.The identification of dominant species and pathogens of biting midges and ticks in this study serves to broaden our knowledge associated to microbes of arthropod vectors. Conclusion Biting midges and ticks carry large numbers of known and potentially novel bacteria,and carry a wide range of potentially pathogenic bacteria,which may pose a risk of infection to humans and animals.The microbial communities of midges and ticks tend to be dominated by a few highly abundant bacteria.

Objective In this study,we analyzed the transcriptome sequences of Kupffer cells exposed to simulated microgravity for 3 d and conducted biological experiments to determine how microgravity initiates apoptosis in Kupffer cells. Methods Rotary cell culture system was used to construct a simulated microgravity model.GO and KEGG analyses were conducted using the DAVID database.GSEA was performed using the R language.The STRING database was used to conduct PPI analysis.qPCR was used to measure the IL1B,TNFA,CASP3,CASP9,and BCL2L11 mRNA expressions.Western Blotting was performed to detect the level of proteins CASP3 and CASP 9.Flow cytometry was used to detect apoptosis and mitochondrial membrane cells.Transmission electron microscopy was used to detect changes in the ultrastructure of Kupffer cells. Results Transcriptome Sequencing indicated that simulated microgravity affected apoptosis and the inflammatory state of Kupffer cells.Simulated microgravity improved the CASP3,CASP9,and BCL2L11 expressions in Kupffer cells.Annexin-V/PI and JC-1 assays showed that simulated microgravity promoted apoptosis in Kupffer cells.Simulated microgravity causes M1 polarization in Kupffer cells. Conclusion Our study found that simulated microgravity facilitated the apoptosis of Kupffer cells through the mitochondrial pathway and activated Kupffer cells into M1 polarization,which can secrete TNFA to promote apoptosis.

Objective To investigate the therapeutic effect of transcutaneous auricular vagus nerve stimulation(taVNS)on overweight/obesity patients,and to explore its central mechanism.Methods Twenty-six overweight/obesity patients were randomly divided into two groups,12 cases in the taVNS test group(shortened as the taVNS group)and 14 cases in the lifestyle intervention control group(shortened as the control group).The patients in the control group were treated with online lifestyle intervention of calorie-restricted diet(CRD),and the patients in the taVNS group were treated with taVNS on the basis of the intervention for the control group.The taVNS was performed on unilateral acupoints of spleen and endocrine,twice(in the morning and at evening)per day,for five days a week.The treatment for the two groups covered four weeks.The obesity indicators such as body weight,body mass index(BMI)and waist circumference of the patients in the two groups were observed before and after treatment.Moreover,the resting-state cerebral functional magnetic resonance imaging(fMRI)data of the patients were collected after treatment,and then the regulatory effect of taVNS on the regional homogeneity(ReHo)of local cerebral area of the patients was observed.Results(1)During the trial,one case in each group dropped off,and a total of 24 patients(including 13 cases in the control group and 11 cases in the taVNS group)were finally included in the statistical analysis of the observation indicators.(2)After treatment,the body weight,BMI and waist circumference of patients in the taVNS group were decreased compared with those before treatment(P＜0.05),while the obesity indicators in the control group only showed a downward trend compared with those before treatment,the differences being not statistically significant(P＞0.05).The improvement of the obesity indicators of body weight,BMI,and waist circumference in the taVNS group was significantly superior to that in the control group,and there were statistically significant differences in the post-treatment indicators and in the pre-and post-treatment difference values of the indicators between the two groups(P＜0.05 or P＜0.01).(3)After treatment,the taVNS group had greater ReHo values in the left prefrontal lobe and medial frontal gyrus than the control group,and the control group had greater ReHo value in the right parietal lobe than the taVNS group,which indicated that compared with the control group,the ReHo of the left prefrontal lobe and medial frontal gyrus in the taVNS group was increased and the ReHo of the right parietal lobe was decreased(Pvoxel＜0.001,Pcluster＜0.05,corrected by FWE level).Conclusion As a non-invasive treatment method,taVNS exerts certain efficacy for the treatment of overweight/obesity patients.The central response mechanism for treatment of obesity is probably related with the modulation of taVNS on the functional areas of left prefrontal lobe,medial frontal gyrus,and right parietal lobe of the patients.

Objective:Chronic obstructive pulmonary disease(COPD)is a significant global public health issue.Modern medical treatments have both benefits and limitations,prompting increasing attention from scholars worldwide on traditional ethnic medicine,and the Zangsiwei Qingfei Mixture is a newly developed formula derived from the effective components of classical Tibetan medicine to treat chronic respiratory diseases.This study aims to investigate the clinical efficacy and safety of the Zangsiwei Qingfei Mixture combined with conventional treatment in patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD). Methods:Sixty AECOPD patients admitted to the Second Xiangya Hospital of Central South University from May 2021 to May 2023 were enrolled and randomly divided into 2 groups,with 30 patients in each group.The control group received conventional treatment,including bronchodilators,anti-infection agents,expectorants,and oxygen therapy.The experimental group received the Zangsiwei Qingfei Mixture in addition to conventional treatment.The treatment duration was 7 d for both groups.Baseline data such as gender,age,body mass index(BMI),smoking status,Global Initiative for Chronic Obstructive Lung Disease(GOLD)classification,COPD course,and the number of COPD exacerbations in the past year were collected.The primary efficacy indicators were assessed using the modified Medical Research Council(mMRC)dyspnea scale and the modified Borg scale.Secondary indicators included arterial lactic acid(LAC)and serum tumor necrosis factor alpha(TNF-α)levels.Safety indicators included liver and kidney function[alanine transaminase(ALT),aspartate transaminase(AST),serum creatinine(SCr),serum uric acid(SUA)],coagulation function[activated partial thromboplastin time(APTT),prothrombin time(PT),fibrinogen(FIB),and D-dimer].The generalized linear mixed model(GLMM)was used to evaluate the clinical efficacy and safety of the Zangsiwei Qingfei Mixture. Results:Before treatment,there were no statistically significant differences in general baseline data,grading of mMRC dyspnea scale,score of modified Borg scale,arterial LAC,ALT,AST,SCr,SUA,APTT,FIB,and D-dimer between the 2 groups(all P＞0.05).However,serum TNF-α and PT levels in the experimental group were significantly lower than those in the control group(both P＜0.05).GLMM analysis showed that after adjusting for pre-and post-treatment,gender,age,BMI,smoking status,GOLD classification,COPD course,and the number of COPD exacerbations in the past year,the experimental group demonstrated significantly lower grading of mMRC dyspnea scale(coefficient=-0.329,P=0.036),score of modified Borg scale(coefficient=-1.077,P=0.001),serum TNF-α level(coefficient=-14.378,P＜0.001),and arterial LAC level(coefficient=-0.409,P=0.012)compared to the control group.The Zangsiwei Qingfei Mixture had no significant effect on liver,kidney,or coagulation function indicators(all P＞0.05). Conclusion:The Zangsiwei Qingfei Mixture combined with conventional treatment can improve clinical symptoms and promote homeostasis in AECOPD patients,demonstrating safety and reliability.Combining modem medicine with traditional ethnic medicine offers a feasible approach to treating chronic respiratory diseases in the future.

Objective To propose a method for classifying small bowel capsule endoscopy images by combining the Swin Transformer network with an improved Adapt-RandAugment data augmentation approach,aiming to enhance the accuracy and efficiency of small bowel lesion classification and recognition.Methods An Adapt-RandAugment data augmentation approach was formulated based on the RandAugment data enhancement sub-strategy and the principles of no feature loss and no distortion when enhancing small bowel capsule endoscopy images.In the publicly available Kvasir-Capsule dataset of small bowel capsule endoscopic images,the Adapt-RandAugment data augmentation approach was trained based on the Swin Transformer network,and the convolutional neural networks ResNet152 and DenseNet161 were used as the benchmarks to validate the combined Swin Transformer network and Adapt-RandAugment data augmentation approach for small bowel capsule endoscopy image classification.Results The proposed algorithm gained advantages over ResNet152 and DenseNet161 networks in the indicators,which had the macro average precision(MAC-PRE),macro average recall(MAC-REC),macro average F1 score(MAC-Fi-S)being 0.383 2,0.314 8 and 0.290 5 respectively,the micro average precision(MIC-PRE),micro average recall(MIC-REC)and micro average F1 score(MIC-Fi-S)all being 0.755 3,and the Matthews correlation coe-fficient(MCC)being 0.452 3.Conclusion The proposed small bowel capsule endoscopy image classification method based on Swin Transformer network and Adapt-RandAugment data augmentation approach behaves well in classified recognition efficiency and accuracy.[Chinese Medical Equipment Journal,2024,45(6):9-16]

Objective To explore the effect of a R language-based autoregressive integrated moving average(ARIMA)model for predicting the consumption of medical consumables.Methods The monthly consumption data of a certain type of pre-filled flush syringe from July 2018 to June 2023 was selected as the sample data,which underwent smoothness test and difference operation with R language.An ARIMA model was established and the optimal model was determined according to the Akaike and Bayesian information criteria.The corresponding data of the third quarter of 2023 was used as the validation set to predict the consumption,and the prediction result was compared with the actual values to evaluate the prediction effect of the ARIMA model.Results The ARIMA model with the best fitting was ARIMA(0,1,1)(1,0,0)12,all the predicted data were within 95％confidence interval,and its mean absolute percentage error MAPE was 9.92％.P-value proved to be higher than 0.05 when the residual series were tested using the Ljung-Box statistics,which meant the prediction result was satisfactory.Conclusion The R language-based ARIMA model behaves well in predicting the consumption of medical consumables,and provides references for demand planning,budgeting,purchasing and management of medical consumables.[Chinese Medical Equipment Journal,2024,45(10):84-87]