ObjectiveBased on the phosphoinositide 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway， the effects of Huanglian Zhimutang on glucose and lipid metabolism disorders and hepatic insulin resistance （IR） with type 2 diabetes mellitus （T2DM） were investigated. MethodsGoto-Kakizaki （GK） rats were fed a high-fat diet to induce a T2DM rat model and then randomly divided into four groups： normal control group， model control group， metformin group （0.10 g·kg^-1）， and Huanglian Zhimutang group （3.60 g·kg^-1）， with eight rats in each group. Drug intervention was administered continuously for 8 weeks. Serum and liver tissues were collected from each group. Fasting insulin （FINS） levels were measured using enzyme-linked immunosorbent assay （ELISA）， and the homeostasis model assessment of insulin resistance （HOMA-IR） index was calculated. Total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， and high-density lipoprotein cholesterol （HDL-C） levels were measured using an automatic biochemical analyzer. Liver tissue pathology was observed via hematoxylin-eosin （HE） staining. Serum interleukin-6 （IL-6） and tumor necrosis factor-α （TNF-α） levels were detected using ELISA. Network pharmacology and transcriptomics sequencing were combined to analyze differentially expressed genes （DEGs） in liver tissue from the normal control group， model control group， and Huanglian Zhimutang group. Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed to identify pathways affected by Huanglian Zhimutang intervention in T2DM. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to assess the mRNA expression of insulin receptor substrate-1 （IRS-1）， PI3K， Akt， and peroxisome proliferator-activated receptor gamma （PPARγ） in liver tissue， while Western blot was used to evaluate corresponding protein expression levels. ResultsAfter 8 weeks of Huanglian Zhimutang intervention， typical symptoms of T2DM rats such as polydipsia， polyphagia， and polyuria were significantly alleviated， along with reductions in fasting blood glucose levels and insulin resistance（P<0.01）. Histopathological results revealed that Huanglian Zhimutang effectively improved hepatic steatosis and inflammatory edema and reduced lipid vacuole formation. Biochemical tests demonstrated that Huanglian Zhimutang significantly reduced serum levels of TC， TG， and LDL-C（P<0.01）. ELISA results showed that Huanglian Zhimutang effectively decreased serum concentrations of IL-6 and TNF-α（P<0.05，P<0.01）. Combined network pharmacology predictions with KEGG pathway analysis of transcriptomics showed that DEGs between the Huanglian Zhimutang and model control groups were significantly enriched in the PI3K/Akt signaling pathway. Real-time PCR and Western blot results confirmed that Huanglian Zhimutang upregulated the expression of PI3K/Akt signaling pathway-related mRNAs and proteins in liver tissue（P<0.05，P<0.01）， thereby reducing inflammation， alleviating hepatic lipid accumulation， and enhancing insulin sensitivity. ConclusionHuanglian Zhimutang effectively ameliorates glucose and lipid metabolism disorders in T2DM rats. Its mechanism may be related to the regulation of the PI3K/Akt pathway， which reduces inflammation and hepatic lipid deposition and relieves hepatic insulin resistance.

ObjectiveBased on the phosphoinositide 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway， the effects of Huanglian Zhimutang on glucose and lipid metabolism disorders and hepatic insulin resistance （IR） with type 2 diabetes mellitus （T2DM） were investigated. MethodsGoto-Kakizaki （GK） rats were fed a high-fat diet to induce a T2DM rat model and then randomly divided into four groups： normal control group， model control group， metformin group （0.10 g·kg^-1）， and Huanglian Zhimutang group （3.60 g·kg^-1）， with eight rats in each group. Drug intervention was administered continuously for 8 weeks. Serum and liver tissues were collected from each group. Fasting insulin （FINS） levels were measured using enzyme-linked immunosorbent assay （ELISA）， and the homeostasis model assessment of insulin resistance （HOMA-IR） index was calculated. Total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， and high-density lipoprotein cholesterol （HDL-C） levels were measured using an automatic biochemical analyzer. Liver tissue pathology was observed via hematoxylin-eosin （HE） staining. Serum interleukin-6 （IL-6） and tumor necrosis factor-α （TNF-α） levels were detected using ELISA. Network pharmacology and transcriptomics sequencing were combined to analyze differentially expressed genes （DEGs） in liver tissue from the normal control group， model control group， and Huanglian Zhimutang group. Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed to identify pathways affected by Huanglian Zhimutang intervention in T2DM. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to assess the mRNA expression of insulin receptor substrate-1 （IRS-1）， PI3K， Akt， and peroxisome proliferator-activated receptor gamma （PPARγ） in liver tissue， while Western blot was used to evaluate corresponding protein expression levels. ResultsAfter 8 weeks of Huanglian Zhimutang intervention， typical symptoms of T2DM rats such as polydipsia， polyphagia， and polyuria were significantly alleviated， along with reductions in fasting blood glucose levels and insulin resistance（P<0.01）. Histopathological results revealed that Huanglian Zhimutang effectively improved hepatic steatosis and inflammatory edema and reduced lipid vacuole formation. Biochemical tests demonstrated that Huanglian Zhimutang significantly reduced serum levels of TC， TG， and LDL-C（P<0.01）. ELISA results showed that Huanglian Zhimutang effectively decreased serum concentrations of IL-6 and TNF-α（P<0.05，P<0.01）. Combined network pharmacology predictions with KEGG pathway analysis of transcriptomics showed that DEGs between the Huanglian Zhimutang and model control groups were significantly enriched in the PI3K/Akt signaling pathway. Real-time PCR and Western blot results confirmed that Huanglian Zhimutang upregulated the expression of PI3K/Akt signaling pathway-related mRNAs and proteins in liver tissue（P<0.05，P<0.01）， thereby reducing inflammation， alleviating hepatic lipid accumulation， and enhancing insulin sensitivity. ConclusionHuanglian Zhimutang effectively ameliorates glucose and lipid metabolism disorders in T2DM rats. Its mechanism may be related to the regulation of the PI3K/Akt pathway， which reduces inflammation and hepatic lipid deposition and relieves hepatic insulin resistance.

AIM To establish a UPLC-MS/MS method for the simultaneous content determination of liquiritin apioside,alibiflorin,swertiamarin,methyl gallate,benzoylpaeoniflorin,sweroside,6′-O-β-D-glucosylgentiopicroside,isoliquiritigenin,loganic acid,liquiritigenin,gallic acid,paeoniflorin,oxypaeoniflorin,gentiopicroside,glycyrrhizic acid,isoliquiritoside and liquiritin in Yangxue Ruanjian Capsules.METHODS The analysis was performed on a 40℃thermostatic Waters BEH C18column(2.1 mm×100 mm,1.7 μm),with the mobile phase comprising of 2 mmol/L ammonium acetate(containing 0.1%formic acid)-acetonitrile flowing at 0.3 mL/min in a gradient elution manner,and electron spray ionization source was adopted in negative ion scanning with multiple reaction monitoring mode.RESULTS Seventeen constituents showed good linear relationships within their own ranges(r>0.999 6),whose average recoveries were 91.33%-104.03%with the RSDs of 1.58%-3.50%.CONCLUSION This rapid,accurate and stable method can be used for the quality control of Yangxue Ruanjian Capsules.

Objective To explore the impact of contrast agent concentration on the excimer laser's effect on plaque ablation.Methods Using a laser catheter with a diameter of 0.9 mm,we conducted plaque model ablation experiments employing a 308-nanometer xenon chloride excimer laser.During the excimer laser ablation process,five groups were formed based on the injected contrast agent concentrations:a saline group,25%concentration group,50%concentration group,75%concentration group,and 100%concentration group.Optical coherence tomography was utilized to assess the changes in plaque lumen area after excimer laser ablation,evaluating the impact of contrast agent concentration on the excimer laser's ablation efficacy.Simultaneously,a water manometer was used to measure the shockwave pressure generated by the excimer laser in liquids with different contrast agent concentrations,aiming to explore the correlation between the shockwave pressure of the excimer laser and its ablative effect.Results The ablation areas in the 75%concentration group and the 100%concentration group were similar(P＞0.05),both exceeding those in the 50%concentration contrast agent group,25%concentration group,and saline group(all P＜0.001).Specifically,the ablation area in the 50%concentration group was significantly larger than that in the 25%concentration group and saline group(both P＜0.001),while the 25%concentration group was larger than the saline group(P＜0.001).The influence of contrast agent concentration on the shockwave pressure of the excimer laser exhibited a similar trend.Additionally,there was a significant positive correlation between the shockwave pressure generated by the excimer laser and its ablation area(r=0.9987,P＜0.001).Conclusions The intensity of excimer laser ablation on plaque tissue can be modulated by altering the contrast agent concentration.These findings offer guidance for the application of excimer laser in conjunction with contrast agent injection techniques in the treatment of coronary artery disease.

Objective:This study investigated the efficacy and safety of denosumab (DENOS) versus zoledronic acid (ZOL) in the bone disease treatment of newly diagnosed multiple myeloma.Methods:The clinical data of 80 patients with myeloma bone disease (MBD) at the Fifth Medical Center of PLA General Hospital between March 1, 2021 and June 30, 2023 were retrospectively reviewed. Eighteen patients with severe renal impairment (SRI, endogenous creatinine clearance rate<30 ml/min) were treated with DENOS, and 62 non-SRI patients were divided into DENOS (30 patients) and ZOL group (32 patients) .Results:Hypocalcemia was observed in 26 (33%) patients, and 22 patients developed hypocalcemia during the first treatment course. The incidence of hypocalcemia in the non-SRI patients of DENOS group was higher than that in the ZOL group [20% (6/30) vs 13% (4/32), P=0.028]. The incidence of hypocalcemia in SRI was 89% (16/18). Multivariate logistic regression analysis revealed that endogenous creatinine clearance rate<30 ml/min was significantly associated with hypocalcemia after DENOS administration ( P<0.001). After 1 month of antiresorptive (AR) drug application, the decrease in the serum β-C-terminal cross-linked carboxy-telopeptide of collagen type I concentrations of SRI and non-SRI patients in the DENOS group were significantly higher than that in the ZOL group (68% vs 59% vs 27%, P<0.001). The increase in serum procollagen type Ⅰ N-terminal propeptide concentrations of patients with or without SRI in the DENOS group were significantly higher than that in the ZOL group (34% vs 20% vs 11%, P<0.05). The level of intact parathyroid hormone in each group increased after AR drug treatment. None of the patients developed osteonecrosis of the jaw and renal adverse events, and no statistically significant differences in the overall response rate, complete remission and stringent complete remission rates were found among the groups ( P>0.05), and the median PFS and OS time were not reached ( P>0.05) . Conclusions:In the treatment of MBD, DENOS minimizes nephrotoxicity and has strong AR effect. Hypocalcemia is a common adverse event but is usually mild or moderate and manageable.

Background::Clinical opportunistic screening is a cost-effective cancer screening modality. This study aimed to establish an easy-to-use diagnostic model serving as a risk stratification tool for identification of individuals with malignant gastric lesions for opportunistic screening.Methods::We developed a questionnaire-based diagnostic model using a joint dataset including two clinical cohorts from northern and southern China. The cohorts consisted of 17,360 outpatients who had undergone upper gastrointestinal endoscopic examination in endoscopic clinics. The final model was derived based on unconditional logistic regression, and predictors were selected according to the Akaike information criterion. External validation was carried out with 32,614 participants from a community-based randomized controlled trial.Results::This questionnaire-based diagnostic model for malignant gastric lesions had eight predictors, including advanced age, male gender, family history of gastric cancer, low body mass index, unexplained weight loss, consumption of leftover food, consumption of preserved food, and epigastric pain. This model showed high discriminative power in the development set with an area under the receiver operating characteristic curve (AUC) of 0.791 (95% confidence interval [CI]: 0.750–0.831). External validation of the model in the general population generated an AUC of 0.696 (95% CI: 0.570–0.822). This model showed an ideal ability for enriching prevalent malignant gastric lesions when applied to various scenarios.Conclusion::This easy-to-use questionnaire-based model for diagnosis of prevalent malignant gastric lesions may serve as an effective prescreening tool in clinical opportunistic screening for gastric cancer.

Near infrared spectroscopy(NIRS)technology combined with chemometrics algorithms has been widely used in quantitative and qualitative analysis of food and medicine.However,traditional chemometrics methods,especially linear classification methods,often yield unsatisfactory results when addressing multi-class classification problems.Convolutional neural network(CNN)is adept at extracting deep-level features from data and suitable for handling non-linear relationships.The modeling performance of CNN depends on the size and diversity of sample,while the collection and preprocessing of NIRS sample data is often time-consuming and labor-intensive.This study proposed a NIRS qualitative analysis method based on data augmentation strategies and CNN.The data augmentation strategy included two steps.Firstly,applying Bootstrap resampling and generative adversarial network(GAN)methods to augment three NIRS datasets(Medicine,coffee and grape).Secondly,combining the original samples(Y)with the Bootstrap augmented samples(B)and GAN augmented samples(G)to obtain three augmented datasets(Y-B,Y-G and Y-B-G).Based on this,a CNN model structure suitable for these datasets was designed,consisting of 2 one-dimensional convolutional layers,1 max-pooling layer,and 1 fully connected layer.The results showed that compared to the optimal models of partial least squares discriminant analysis(PLS-DA),support vector machine(SVM),and back propagation neural network(BP),the CNN model based on Y-B dataset achieved average accuracy improvements of 3.998%,9.364%,and 4.689%for medicine(Binary classification);the CNN model based on the Y-B-G dataset achieved average accuracy improvements of 6.001%,2.004%,and 7.523%for coffee(7-class classification);and the CNN model based on the Y-B dataset achieved average accuracy improvements of 33.408%,51.994%,and 34.378%for grapes(20-class classification).It was evident that the models established based on data augmentation strategies and CNN demonstrated better classification accuracy and generalization performance with different datasets and classification categories.

Three-dimensional graphene hydrogel(3DGH)was successfully prepared through a hydrothermal method,followed by its composition with gold nanoparticles(AuNPs)to construct a highly sensitive Au/3DGH graphene electrochemical transistor(GECT)dopamine(DA)sensor.AuNPs are efficient electrocatalytic materials.However,their tendency to aggregate during electrodeposition hinds the practical application.The porous and interconnected network structure of 3DGH provided abundant attachment sites,effectively preventing AuNPs aggregation.By modifying the sensor's gate with Au/3DGH,the excellent electrocatalytic performance of Au/3DGH towards DA and the high sensitivity of GECT were utilized to achieve highly sensitive detection of DA.The sensor exhibited a low detection limit of 20 nmol/L and a linear range of 20 nmol/L to 2.5 mmol/L.Remarkably,the sensor showed high sensitivity,excellent selectivity and strong stability,and hold great potnetial in highly sensitive portable detection of DA in disease prevention and clinical monitoring.

Objective To study the application of the trinity model and trinity forecasting method in predicting the incidence trend of pulmonary tuberculosis(PTB).Methods By applying the monthly PTB incidence data in Zhe-jiang Province from 2011 to 2021,a prediction model was constructed based on the trinity model and trinity forecas-ting method.Predictive performance of the model was evaluated.Results The mean relative prediction errors of model 1 and model 2 based on trinity model and trinity forecasting method were 7.94％and 8.43％,respectively.The mean relative prediction error obtained by adopting autoregressive integrated moving average(ARIMA)model was 8.87％,and the above mean relative prediction error were all in the range of 7.9％-8.9％,which presented an excellent performance of the forecasting model.Conclusion The trinity model is an excellent time series forecasting model,and the trinity forecasting method is an excellent time series forecasting method,with high application value.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.