Objective: To analyze the characteristics and safety risks of preservatives and sweeteners in beverages sold near schools in Anshun City, so as to provide a evidence for formulating targeted regulatory strategies in campus. Methods: From December 2023 to July 2024, 834 beverage samples were collected from sales points near primary and secondary schools in Xixiu District and four surrounding townships of Anshun City by a stratified random sampling method. High performance liquid chromatography was used to detect three preservatives (sorbic acid, benzoic acid and dehydroacetic acid) and four sweeteners (sodium saccharin, acesulfame-K, aspartame, and neotame). Differences were analyzed using the Chi-square test. Results: The overall exceedance rate of preservative was 8.6% (72 samples), with dehydroacetic acid showing the highest exceedance rate (7.0%, 58 samples), significantly higher than sorbic acid (0.6%, 5 samples) and benzoic acid (0.4%, 3 samples) ( χ 2=90.85, P <0.01). The overall exceedance rate of sweetener was 10.4% (87 samples), with sodium saccharin having the highest exceedance rate ( 6.2 %, 52 samples),significantly higher than neotame (2.8%, 23 samples), acesulfame-K (0) and aspartame (0) ( χ 2=262.04, P <0.01). Potential risks were identified due to the co occurrence of multiple additive exceedances, including 0.7% (6 samples) for mixed preservatives and 1.6% (13 samples) for mixed sweetener. No statistically significant differences were found in preservative (7.2%, 26 samples) or sweetener (12.3%, 44 samples) exceedance rates between micro enterprises and large, medium and small enterprises ( χ 2=2.67, 5.16, both P >0.05). Conclusion Systemic misuse risk of food additives in beverages sold near school necessitates a risk traceability based regulatory framework, with emphasis on standardizing enterprise production practices and strengthening oversight of sales outlets near campuses.

OBJECTIVE To establish a ultra-high-performance liquid chromatography-mass spectrum/mass spectrum(UPLC-MS/MS) method for the determination of anlotinib in human plasma and assessment of clinical application. METHODS Zanubrutinib was used as internal standard and the extraction process was performed through protein precipitation method using acetonitrile, followed by separation on an Ultimate XB-C18(100 mm×2.1 mm, 3.0 μm) column using acetonitrile and 10 mmol·L−1 ammonium acetate-0.1% formic acid step-elution gradient. The flow rate was 0.6 mL·min−1 and injection volume was 5 μL. The mass analysis was performed by positive ion electrospray ionization in multiple-reaction monitoring mode, and the mass spectrometer was set at m/z 408.1→339.1 for anlotinib and m/z 472.2→290.1 for internal standard, respectively. The specificity, standard curve and lower limit of quantification, precision and recovery, matrix effect and stability of the method and clinical application were investigated. RESULTS The method was validated over the concentration range of 1.0−100.0 ng·mL−1, with R2=0.998 4. The precision RSD was<9%, the recovery and matrix effect were 104.81%−107.32% and 102.54%−105.26%, respectively, and this method had good stability and was not affected by matrix effect. The method had been used for determined 52 advanced non-small cell lung cancer patients treated with anlotinib. The trough plasma concentration (Ctrough) was measured on day 43 after initiation of anlotinib treatment. Anlotinib Ctrough were higher than lower limit of quantitation (1.0 ng·mL−1) from 52 patients. The plasma concentration of anlotinib Ctrough was (11.38±4.29)ng·mL−1 with 37.66% coefficients of variation, which were shown large inter-patient variability. CONCLUSION This method is high sensitivity, specificity and accurate, and suitable for determination of anlotinib in human plasma.

Objective:To explore the feasibility and application value of indocyanine green(ICG)lymph node tracer in clinical early stage cervical cancer staging surgery.Methods:A retrospective analysis was performed on 31 patients with early clinical stage(ⅠA1-ⅡA1)cervical cancer who underwent laparoscopic radical hysterectomy,pelvic lymph node resection and para-aortic lymph node sampling were selected as the study subjects in Sichuan Provincial Maternal and Child Health Care Hospital from April 1,2022 to July 31,2023.They were divided into the ICG fluorescence tracer group(ICG group,17 cases)and the conventional surgery group(control group,14 ca-ses)based on whether ICG was injected or not.The resected lymph nodes were classified and submitted for ex-amination according to location and whether they presented visualization.The method of contingency coefficient was used to analyze the correlations between lymph node visualization patterns and lymph node metastasis and clinicopathological characteristics,and the perioperative data of the two groups were compared.Results:①The postoperative stage of 8 patients(25.8％)(4 in each group)were improved compared with the preoperative clini-cal stage.The number of resected lymph nodes in the ICG group was less than that in the control group(18±9 nodes/person vs.26±11 nodes/person,P＜0.05).There were no statistically significant differences in operation time,intraoperative blood loss,postoperative FIGO(2018)staging,lymph node metastasis rate,and positive rate of resected lymph nodes between the two groups(P＞0.05).②The visualization rate in the ICG group was 64.71％(11/17).There was no statistically significant difference in the positive rate between the visualized and non-visualized lymph nodes(P＞0.05).There was a significant correlation between lymph node visualization and lymph node metastasis(C=0.707,P＜0.05),and a significant correlation was found between lymph node visual-ization and lymph node metastasis in the same patient(C=0.557,P＜0.05).Conclusions:The rate of lymph node metastasis in clinical early stage cervical cancer is low.ICG fluorescence visualization can trace lymph nodes and predict the risk of metastasis.By only resecting the visualized lymph nodes under the guidance of ICG tracer,the lymph node metastasis status of early-stage cervical cancer can be fully evaluated,which is worthy of further research.

Objective The varieties of chemical drugs prohibited for children in the 2020 edition of Chinese Pharmacopoeia were analyzed.Provide a technical basis for the development of a list of drugs prohibited by children.This is requirement of China's Children's Development Program(2021-2030).Methods Drug inserts are collected through websites such as"PharmaIntelligence",from which information on children's prohibitions is extracted,and drugs with consistent information on children's prohibitions are analyzed in the instructions of different manufacturers.Results Among the 1 741 kinds of chemicals,there are a total of 240 drugs with consistent information on the prohibition of children in the instructions of different manufacturers,of which 113 are labeled"prohibited"for children of different ages,53 are"not suitable"for children of different ages,38 are"not recommended""for children of different ages,and 36 are labeled with other children's prohibition related information.According to the classification of the clinical drug instructions involving 21 categories.Including anti-infective drugs(77),nonsteroidal anti-inflammatory drugs and anti-gout drugs(28),nervous system drugs(20),psychotropic drugs(16),digestive system drugs(16),endocrine system drugs(16),etc.Conclusion Children are at a special stage of growth and development,and the pharmacological and toxicological characteristics of drugs in children are different from those in adults.The risk-benefit ratio of drugs used in children needs continuous research to provide more detailed evidence for drug use and ensure the safety of drug use in children.

Ten compounds were isolated and purified from the dichloromethane extract of stems of Ephedra intermedia by various chromatographic methods. Based on the analysis of physicochemical properties and spectral data, the structures of the ten compounds were identified as 1-allyl-3,4-dimethoxy-benzene-5-O-β-D-glucopyranoside (1), lyoniresinol (2), secoisolariciresinol (3), 4,3′,4′-trihydroxy-3-methoxylignan-9,9′-diyldiacetate (4), dehydroconiferyl alcohol (5), isocubebin (6), balanophonin B (7), sesquipinsapol B (8), crataegifin A (9), 1-(2-(4-hydroxy-3-methoxyphenyl)-3-(hydroxymethyl)-7-methoxy-2,3-dihydrobenzofuran-5-yl)ethan-1-one (10). Compound 1 is a new compound, named as 1-allyl-3,4-dimethhoxy-benzene-5-O-β-D-glucopyranosyl, compounds 2-10 are lignans and isolated from this plant for the first time. Compound 3, 4, 8 possess potentially anti-asthmatic activities.

Objective:To construct an prediction model based on magnetic resonance imaging (MRI) machine learning algorithm and radiomics and investigate its application value in predicting lymphovascular invasion (LVI) status of rectal cancer without lymph node metastasis.Methods:The retrospective cohort study was conducted. The clinicopathological data of 204 rectal cancer patients without lymph node metastasis who were admitted to Gansu Provincial Hospital from February 2016 to January 2024 were collected. There were 123 males and 81 females, aged (61±7)years. All 204 patients were randomly divided into the training dataset of 163 cases and the testing dataset of 41 cases by a ratio of 8∶2 using the electronic computer randomization method. The training dataset was used to construct the prediction model, and the testing dataset was used to validate the prediction model. The clinical prediction model, radiomics model and joint prediction model were constructed based on the selected clinical and/or imaging features. Measurement data with normal distribution were represented as Mean± SD. Count data were described as absolute numbers, and the chi-square test or Fisher exact probability were used for comparison between the groups. Comparison of ordinal data was conducted using the nonparameter rank sum test. The inter-class correlation coefficient (ICC) was used to evaluate the consistency of the radiomics features of the two doctors, and ICC >0.80 was good consistency. Univariate analysis was conducted by corres-ponding statistic methods. Multivariate analysis was conducted by Logistic stepwise regression model. The receiver operating characteristic (ROC) curve was drawn, and the area under the curve (AUC), Delong test, decision curve and clinical impact curve were used to evaluate the diagnostic efficiency and clinical utility of the model. Result:(1) Analysis of factors affecting LVI status of patients. Of the 204 rectal cancer patients without lymph node metastasis, there were 71 cases with positive of LVI and 133 cases with negative of LVI. Results of multivariate analysis showed that gender, platelet (PLT) count and carcinoembryonic antigen (CEA) were independent factors affecting LVI status of rectal cancer without lymph node metastasis in training dataset [ odds ratio=2.405, 25.062, 2.528, 95% confidence interval ( CI) as 1.093-5.291, 2.748-228.604, 1.181-5.410, P<0.05]. (2) Construction of clinical prediction model. The clinical prediction model was conducted based on the results of multivariate analysis including gender, PLT count and CEA. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of clinical prediction model were 0.721 (95% CI as 0.637-0.805), 0.675, 0.632 and 0.698 for the training dataset, and 0.795 (95% CI as 0.644-0.946), 0.805, 1.000 and 0.429 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of clinical prediction model between the training dataset and the testing dataset ( Z=-0.836, P>0.05). (3) Construction of radiomics model. A total of 851 radiomics features were extracted from 204 patients, and seven machine learning algorithms, including logistic regression, support vector machine, Gaussian process, logistic regression-lasso algorithm, linear discriminant analysis, naive Bayes and automatic encoder, were used to construct the prediction model. Eight radiomics features were finally selected from the optimal Gaussian process learning algorithm to construct a radiomics prediction model. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.857 (95% CI as 0.800-0.914), 0.748, 0.947 and 0.642 for the training dataset, and 0.725 (95% CI as 0.571-0.878), 0.634, 1.000 and 0.444 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of radiomics prediction model between the training dataset and the testing dataset ( Z=1.578, P>0.05). (4) Construction of joint prediction model. The joint prediction model was constructed based on the results of multivariate analysis and the radiomics features. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.885 (95% CI as 0.832-0.938), 0.791, 0.912 and 0.726 for the training dataset, and 0.857 (95% CI as 0.731-0.984), 0.854, 0.714 and 0.926 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of joint prediction model between the training dataset and the testing dataset ( Z=0.395, P>0.05). (5) Performance comparison of three prediction models. Results of the Hosmer-Lemeshow goodness-of-fit test showed that all of the clinical prediction model, radiomics prodiction model and joint prediction model having good fitting degree ( χ2=1.464, 12.763, 10.828, P>0.05). Results of Delong test showed that there was no signifi-cant difference in the AUC between the clinical prediction model and the joint prediction model or the radiomics model ( Z=1.146, 0.658, P>0.05), and there was a significant difference in the AUC between the joint prediction model and the radiomics model ( Z=2.001, P<0.05). Results of calibra-tion curve showed a good performance in the joint prediction model. Results of decision curve and clinical impact curve showed that the performance of joint prediction model in predicting LVI status of rectal cancer without lymph node metastasis was superior to the clinical prediction model and the radiomics model. Conclusions:The clinical prediction model is constructed based on gender, PLT count and CEA. The radiomics predictive model is constructed based on 8 selected radiomics features. The joint prediction model is constructed based on the clinical prediction model and the radiomics predictive model. All of the three models can predict the LVI status of rectal cancer with-out lymph node metastasis, and the joint prediction model has a superior predictive performance.

Amino acid surfactants (AAS) have excellent properties such as low toxicity,antibacterial,mildness,and corrosion resistance. In recent years,they have been widely applied in the field of daily chemicals,food and pharmaceutical industry. It is pointed out that the structure at molecular level largely affects the physical and chemical properties of AAS materials. In this work,the structures of solid-state N-lauroyl-L-alanine (NLLA) including intermolecular interactions,molecular local dynamics and molecular assembly were investigated by a variety of solid-state nuclear magnetic resonance (SSNMR) techniques. Based on 2D 1H-1H double quantum-single quantum (2D 1H-1H DQ-SQ),1H-1H DQ sideband pattern and molecular simulation,it was found that there was a stable intermolecular hydrogen bond formed between the carboxyl units of two NLLA molecules. Combined with the study of 2D frequency switched Lee—Goldberg heteronuclear correlation (2D 13C-1H FSLG-HETCOR) and 13C T1,another type of hydrogen bond was probed,which existed between amide units of neighboring molecules. In addition,the conformation of alkyl chain ends was investigated. According to 1D 13C{1H}cross polarization/magic angle spinning (CP/MAS) and 2D 13C-1H FSLG-HETCOR spectra,it was revealed that the alkyl-chain ends had both gauche and trans conformations. Moreover,the trans conformation showed two distinct 13C chemical shifts,originated from two NLLA molecular assembly forms. Accordingly,two NLLA molecular assembly structures were suggested which were transoid form and cisoid form. This work provided a SSNMR investigation strategy for characterizing the molecular local structure and dynamics of AAS materials,which helped task of researching and developing materials with improved chemical and physical properties.

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 investigate the effect of varying blood pressure stratification on renal function in the diabetic population.Methods A prospective cohort study was conducted,enrolling 9 489 diabetic patients from a total of 101 510 Kailuan Group employees who underwent health examinations between July 2006 and October 2007.The follow-up period was(8.6±4.0)years.Participants were categorized into four groups based on their baseline blood pressure levels:normal blood pressure(systolic blood pressure<120 mmHg and diastolic blood pressure<80 mmHg),elevated blood pressure(systolic blood pressure 120-130 mmHg and diastolic blood pressure<80 mmHg),stage 1 hypertension(systolic blood pressure 130-140 mmHg and/or diastolic blood pressure 80-90 mmHg),and stage 2 hypertension(systolic blood pressure≥140 mmHg and/or diastolic blood pressure≥90 mmHg).The incidence density of chronic kidney disease(CKD)was compared among these groups.A multivariate Cox proportional hazards regression model was employed to assess the effects of different blood pressure levels on renal function in diabetic patients,with the stability of the results confirmed using a multivariate time-dependent Cox proportional hazards model.Sensitivity analysis was conducted after excluding cases of cardiovascular disease(CVD)during follow-up,and cases using antihypertensive and antidiabetic medications at baseline.Results(1)At baseline,stage 1 hypertension patients demonstrated statistically significant higher differences with age and body mass index(BMI)compared to normal blood pressure group(P<0.05).(2)By the end of the follow-up,2 294 cases of CKD were identified,including 1 117 cases of estimated glomerular filtration rate(eGFR)decline and 1 575 cases of urinary protein.The incidences density of CKD,eGFR decline and urinary protein for stage 1 hypertension group were 39.4,16.3 and 25.5 per thousand person-years,respectively,all of which were statistically significant different from normal blood pressure group(log-rank test,P<0.01).(3)Multivariate Cox regression analysis revealed that,compared to the normal blood pressure group,stage 1 hypertension was associated with a 29%increased risk of CKD(HR=1.29,95%CI 1.09-1.52)and a 40%increased risk of eGFR decline(HR=1.40,95%CI 1.08-1.80)in diabetic individuals.Conclusion Stage 1 hypertension significantly increases the risk of CKD and eGFR decline in diabetic individuals,with a particularly notable effect on the risk of eGFR decline.

AIM:To investigate the effect of hypericin(Hyp)on the heart of rats with myocardial ischemia-re-perfusion injury(MIRI),and to explore its mechanism.METHODS:Thirty SPF male SD rats were divided into 5 groups:sham group,MIRI group,low-dose Hyp(L-Hyp)group(MIRI+L-Hyp group),high-dose Hyp(H-Hyp)group(MIRI+H-Hyp group),and positive control trimetazidine(TMZ)group(MIRI+TMZ group),with 6 rats in each group.Apart from the sham group,the MIRI model was established by ligating the anterior descending branch of the left coronary artery and then recanalizing it in the remaining four groups of rats.The success of the modeling was determined by monitor-ing the electrocardiogram.We assessed the cardiac function in rats using echocardiography.TTC staining was employed to measure the area of myocardial infarction in rats,and HE staining was utilized to observe the morphological traits of rat myocardium.We assayed the activities of lactate dehydrogenase(LDH)and superoxide dismutase(SOD)and the levels of malondialdehyde(MDA)in rat serum using biochemical kits.ELISA kits were applied to assess the contents of cardiac troponin I(cTnI)and reactive oxygen species(ROS)in rat serum.Western blot analysis was perfomed to measure the pro-tein expression levels of AMPK,p-AMPK,Nrf2,and HO-1 in rat myocardial tissues.RESULTS:The rats in MIRI group exhibited increased myocardial tissue injury,larger myocardial infarction areas,decreased left ventricular ejection fraction(LVEF),and reduced left ventricular fractional shortening(LVFS)compared with sham group,as shown by echo-cardiography.Additionally,there were increases in LDH activity,cTnI,MDA and ROS levels,along with significant de-creases in SOD activity,and p-AMPK,Nrf2 and HO-1 protein levels(P<0.05).Compared with MIRI group,the rats in MIRI+L-Hyp,MIRI+H-Hyp and MIRI+TMZ groups showed decreased myocardial histopathological damage and reduced myocardial tissue infarction area,increased LVEF and LVFS,and lowered serum levels of LDH activity,cTnI,MDA and ROS,while SOD activity,p-AMPK,Nrf2 and HO-1 protein levels were elevated(P<0.05).CONCLUSION:Hypericin attenuates myocardial ischemia-reperfusion injury in rats,possibly by modulating the AMPK/Nrf2/HO-1 signaling path-way.