P-glycoprotein (P-gp) is a transmembrane protein widely involved in the absorption, distribution, metabolism, excretion, and toxicity (ADMET) of drugs within the human body. Accurate prediction of P-gp inhibitors and substrates is crucial for drug discovery and toxicological assessment. However, existing models rely on limited molecular information, leading to suboptimal model performance for predicting P-gp inhibitors and substrates. To overcome this challenge, we compiled an extensive dataset from public databases and literature, consisting of 5,943 P-gp inhibitors and 4,018 substrates, notable for their high quantity, quality, and structural uniqueness. In addition, we curated two external test sets to validate the model's generalization capability. Subsequently, we developed a multimodal graph contrastive learning (GCL) model for the prediction of P-gp inhibitors and substrates (MC-PGP). This framework integrates three types of features from Simplified Molecular Input Line Entry System (SMILES) sequences, molecular fingerprints, and molecular graphs using an attention-based fusion strategy to generate a unified molecular representation. Furthermore, we employed a GCL approach to enhance structural representations by aligning local and global structures. Extensive experimental results highlight the superior performance of MC-PGP, which achieves improvements in the area under the curve of receiver operating characteristic (AUC-ROC) of 9.82% and 10.62% on the external P-gp inhibitor and external P-gp substrate datasets, respectively, compared with 12 state-of-the-art methods. Furthermore, the interpretability analysis of all three molecular feature types offers comprehensive and complementary insights, demonstrating that MC-PGP effectively identifies key functional groups involved in P-gp interactions. These chemically intuitive insights provide valuable guidance for the design and optimization of drug candidates.

Objective To develop an enteral nutrition management system for critically ill patients and assess its application outcomes to standardize enteral nutrition management.Methods Based on relevant guidelines and indicator systems,a management system for enteral nutrition in critically ill patients was constructed,consisting of 4 modules:nutritional screening and assessment,nutritional implementation,nutritional monitoring,and statistical analysis.A convenience sampling method was used to select enteral nutrition patients and healthcare staff from the ICU of a tertiary hospital in Ningbo.Data from January to February 2024 served as an experimental group,while data from January to February 2023 constituted a control group.The 2 groups were compared regarding nutritional risk screening rate,feeding interruption rate,completion rate of the enteral nutrition plan,and incidence of complications.At the same time,the system's effectiveness was assessed by healthcare professionals using the clinical nursing information system effectiveness evaluation form.Results The study included 111 patients in the experimental group and 101 patients in the control group.The experimental group exhibited a significantly higher nutritional risk screening rate and enteral nutrition plan completion rate,as well as significantly lower feeding interruption rate and incidence of mechanical complications compared to the control group(P＜0.05).The system received a high effectiveness rating,with an average score of 104.73±9.34.Conclusion The application of the enteral nutrition management system effectively improves the nutritional risk screening rate and completion rate of enteral nutrition plans,while reducing both the feeding interruption rate and the incidence of mechanical complications.Healthcare staff highly rated the system.

Objective Vascular dementia(VD)is a common cognitive dysfunction associated with cerebrovascular disease.This study is aimed at investigating the therapeutic effect of anisodine hydromide(AH)on VD and the potential antioxidative stress mechanisms involved.Methods A VD model was established in Sprague-Dawley(SD)rats through permanent bilateral common carotid artery occlusion.The rats were divided into a sham group,a VD model group,and AH treatment groups receiving AH at low,medium,or high doses(n=4).The neurological function of the rats in each group was evaluated using the Bederson scale,and limb coordination ability was assessed using the pole climbing test.Superoxide dismutase(SOD)and malondialdehyde(MDA)levels in the serum and brain were measured by enzyme-linked immunosorbent assay(ELISA)to assess the level of oxidative stress.In addition,apoptosis was assessed by TUNEL assay,and reactive oxygen species(ROS)levels in neuronal cells were determined using dichloro-dihydro-fluorescein diacetate(DCFH-DA)probe.The potential mechanism of action of AH on M receptors was investigated using M1-M5 inhibitors.Results Compared with the sham group,the nerve function and limb coordination of rats in the VD model group were significantly impaired(P＜0.01),and the SOD levels were significantly decreased in the serum([100.70±18.95]U/mL vs.[44.22±7.11]U/mL,P＜0.001)and the brain([131.77±8.34]U/mg vs.[84.39±4.10]U/mg,P＜0.01),MDA levels were significantly increased in the serum([12.03±1.01]nmol/mL vs.[17.74±1.00]nmol/mL,P＜0.001)and the brain([4.41±0.30]nmol/mg vs.[6.17±0.70]nmol/mg,P＜0.05).AH treatment significantly improved the neurological function and limb coordination ability of VD rats.In comparison with the VD group,the high-dose AH treatment group,in particular,exhibited the most significant increase in SOD levels in the serum([44.22±7.11]U/mL vs.[98.67±0.86]U/mL,P＜0.001)and the brain([84.39±4.10]U/mg vs.[162.83±17.36]U/mg,P＜0.001),and the most significant decrease in MDA levels in the serum([17.74±1.00]nmol/mL vs.[6.68±0.06]nmol/mL,P＜0.001)and the brain([6.17±0.70]nmol/mg vs.[3.96±0.77]nmol/mg,P＜0.01).AH also reduced the number of TUNEL positive cells(P＜0.01)in a dose-dependent manner.The percentage of apoptotic cells was(36.10±9.07)％,(9.60±5.63)％,and(3.43±0.92)％,respectively,for AH treatment at low,medium,and high concentrations,indicating that AH had an inhibitory effect on apoptosis.According to findings from the in vitro experiments,AH treatment reduced the MDA content(P＜0.01),increased the SOD activity(P＜0.01),and decreased the ROS levels of HT22 and NSC-34 cells in a dose-dependent manner.M2 receptor inhibitors could reduce the ROS level in oxidative stress injury,suggesting that AH,as an M receptor antagonist,might exert its effect by inhibiting the M2 receptor.Conclusion AH modulates SOD and MDA levels and reduces oxidative stress injury,thereby improving neurological function and limb coordination and showing potential therapeutic effects in VD.The neuroprotective effects of AH may be related to its antioxidative stress and antiapoptotic mechanisms,and the M2 receptor may be a potential target of its actions.These findings provide an important theoretical basis for the development of new therapeutic strategies for VD.

P-glycoprotein(P-gp)is a transmembrane protein widely involved in the absorption,distribution,metabolism,excretion,and toxicity(ADMET)of drugs within the human body.Accurate prediction of P-gp inhibitors and substrates is crucial for drug discovery and toxicological assessment.However,existing models rely on limited molecular information,leading to suboptimal model performance for predicting P-gp inhibitors and substrates.To overcome this challenge,we compiled an extensive dataset from public databases and literature,consisting of 5,943 P-gp inhibitors and 4,018 substrates,notable for their high quantity,quality,and structural uniqueness.In addition,we curated two external test sets to validate the model's generalization capability.Subsequently,we developed a multimodal graph contrastive learning(GCL)model for the prediction of P-gp inhibitors and substrates(MC-PGP).This framework integrates three types of features from Simplified Molecular Input Line Entry System(SMILES)sequences,molecular fingerprints,and molecular graphs using an attention-based fusion strategy to generate a unified mo-lecular representation.Furthermore,we employed a GCL approach to enhance structural representations by aligning local and global structures.Extensive experimental results highlight the superior perfor-mance of MC-PGP,which achieves improvements in the area under the curve of receiver operating characteristic(AUC-ROC)of 9.82％and 10.62％on the external P-gp inhibitor and external P-gp substrate datasets,respectively,compared with 12 state-of-the-art methods.Furthermore,the interpretability analysis of all three molecular feature types offers comprehensive and complementary insights,demonstrating that MC-PGP effectively identifies key functional groups involved in P-gp interactions.These chemically intuitive insights provide valuable guidance for the design and optimization of drug candidates.

Objective To develop an enteral nutrition management system for critically ill patients and assess its application outcomes to standardize enteral nutrition management.Methods Based on relevant guidelines and indicator systems,a management system for enteral nutrition in critically ill patients was constructed,consisting of 4 modules:nutritional screening and assessment,nutritional implementation,nutritional monitoring,and statistical analysis.A convenience sampling method was used to select enteral nutrition patients and healthcare staff from the ICU of a tertiary hospital in Ningbo.Data from January to February 2024 served as an experimental group,while data from January to February 2023 constituted a control group.The 2 groups were compared regarding nutritional risk screening rate,feeding interruption rate,completion rate of the enteral nutrition plan,and incidence of complications.At the same time,the system's effectiveness was assessed by healthcare professionals using the clinical nursing information system effectiveness evaluation form.Results The study included 111 patients in the experimental group and 101 patients in the control group.The experimental group exhibited a significantly higher nutritional risk screening rate and enteral nutrition plan completion rate,as well as significantly lower feeding interruption rate and incidence of mechanical complications compared to the control group(P＜0.05).The system received a high effectiveness rating,with an average score of 104.73±9.34.Conclusion The application of the enteral nutrition management system effectively improves the nutritional risk screening rate and completion rate of enteral nutrition plans,while reducing both the feeding interruption rate and the incidence of mechanical complications.Healthcare staff highly rated the system.

OBJECTIVE To investigate the mechanism of the inhibitory effect of total flavonoids from Taraxacum mongolicum on high-fat diet-induced obesity in mice through modulation of intestinal flora.METHODS Twenty-four C57BL/6J mice were randomly divided into blank group,model group and T.mongolicum total flavonoid group,with 8 mice in each group.Except for the blank group,the other 2 groups were given a high-fat diet,while T mongolicum total flavonoid group was given T.mongolicum total flavonoid[400 mg/(kg·d)]intragastrically,once a day,for 8 consecutive weeks.During the experiment,the food intake of each group of mice was recorded.After the last medication,the body mass,fat weight,blood lipid level and pathological changes of liver and epididymal fat in mice were evaluated to observe the effect of T.mongolicum total flavonoid on the treatment of obesity in mice.The changes in abundance and structure of intestinal flora in mice were detected by amplicon sequencing;the effects of T.mongolicum total flavonoids on fat metabolism related genes were analyzed by qPCR.RESULTS Compared with model group,the body weight of mice in T.mongolicum total flavonoids group was decreased significantly(P＜0.05);the levels of total lipid cholesterol,triglycerides,and LDL cholesterol were all decreased significantly(P＜0.01),and the level of HDL cholesterol was increased significantly(P＜0.01);the fat indexes of inguinal white adipose tissue and epididymal white adipose tissue were significantly reduced(P＜0.05);significant improvement in hepatocellular steatosis and adipose cytopathy were significantly improved;mRNA expressions of COX7A1 and COX8B were significantly upregulated(P＜0.05).The results of bacterial colony detection showed that compared with the model group,there was a rising trend in the diversity of the bacterial colony in T.mongolicum total flavonoids group,and the Sobs index characterization and β diversity were increased significantly(P＜0.05).Relative abundances of Blautia,norank_f_Ruminococcaceae,Bilophila,Alistipes,classified_f_Ruminococcaceae,Parabacteroides,norank_f_Desulfovibrionaceae,Anaerotruncus were significantly up-regulated(P＜0.05),while those of Faecalibaculum,Erysipelatoclostridium,GCA-900066575,Tuzzerella,Lactobacillus,norank_f_norank_o_RF39,achnospiraceae_FCS020_group were significantly down-regulated(P＜0.05).CONCLUSIONS T.mongolicum total flavonoids can reduce body mass,fat weight and blood lipid levels,and repair the pathological damage to liver and epididymal fat in obese mice,which is related to improving intestinal flora disorders caused by high-fat diet.

Objective To establish a method to qualitatively identify and quantitatively determine a new impurity from beclomethasone propionate inhalation aerasol.Methods Ultra-performance liquid chromatography-Q-exactive orbitrap-mass spectrometry(UPLC-QE-MS)technology and Discovery Studio software were used to identify and predict the toxicity of a new impurity in beclomethasone propionate inhalation aerasol,and the content of this new impurity was determined by UPLC.Results The new impurity in beclomethasone propionate inhalation aerasol was polybutylene terephthalate(PBT)cyclic dimer.Discovery Studio software predicted that PBT dimer had potential developmental toxicity,with no mutagenicity,no ocular and skin irritancy and no rodent carcinogenicity.The content range of PBT dimer in 9 batches of beclomethasone propionate inhalation aerasol was 20.5-116.6 pg per bottle.Conclusion This study can realize the rapid identification and toxicity prediction of the new impurity in the preparation,and provide a theoretical basis for the quality control of the preparation by determining their content.

Objective:To explore the genetic etiology of pediatric intensive care unit (PICU) mortality cases and summarize their clinical characteristics.Methods:This was a retrospective cohort study. The study population consisted of 234 children who died within 7 d after admitted to the PICU of Children′s Hospital of Fudan University from January 2017 to December 2021. The clinical diagnoses, laboratory test results, and genetic testing results were collected. These patients were divided into the pathogenic gene variation positive (PGVP) group and the pathogenic gene variation negative (PGVN) group according to the results of genetic testing. The Mann-Whitney U test and Pearson′s chi-square test or Fisher′s exact probability method were used to compare the clinical characteristics between the groups. Results:A total of 234 cases were enrolled, including 139 (59.4%) males and 95 (40.6%) females. The age at death was 1.0 (0.4, 3.7) years old and the length of PICU stay was 16 (6, 33) days. There were 62 cases (26.5%) PGVP, and the mutated pathogenic genes included immune genes (23 cases (37.1%)), metabolic genes (11 cases (17.7%)), neuromuscular genes (11 cases (17.7%)), cardiovascular genes (4 cases (6.5%)), and genes of other systems (13 cases (21.0%)). The age at death in PGVP cases was significantly lower than in PGVN cases (0.6 (0.3, 1.4) vs. 1.3(0.5, 4.3) years old, Z=3.85, P<0.001). Compared with the PGVN group, the PGVP group had a higher incidence of family history and chronic complex conditions (CCC) than the PGVN group (6.5% (4/62) vs. 0.6% (1/172) and 93.5% (58/62) vs. 76.2% (131/172), χ2=8.87, P=0.018 and 0.003, respectively). Children in the PGVP group were admitted with higher incidence of severe infection, decreased consciousness or coma, moderate-to-severe anemia, thrombocytopenia, protracted diarrhea, and abnormalities in muscle strength or tone than those in the PGVN group (74.2%(46/62) vs. 45.9%(79/172), 50.0%(31/62) vs. 35.5%(61/172), 32.3%(20/62) vs. 18.0%(31/172), 21.0%(13/62) vs. 10.5%(18/172), 25.8%(16/62) vs. 4.1%(7/172), 16.1%(10/62) vs. 5.2%(9/172), χ2=14.63, 4.04, 5.41, 4.37, 24.30, 7.25, all P<0.05). Pathogenic genes that occurred more than twice included IL2RG (5 cases), SMN1 (4 cases), and SH2D1A (3 cases, including 2 single gene varients and 1 copy number varient). Conclusions:Among the deceased cases in the PICU, the main genetic causes are immune-related, metabolic, and neuromuscular genetic disorders. Critically ill children with a family history, CCC, and early features such as severe infections, decreased consciousness or coma, moderate to severe anemia, thrombocytopenia, protracted diarrhea, or abnormalities in muscle strength or tone should be closely monitored and undergo early genetic testing.

Objective To investigate the predictive value of early efficacy of neoadjuvant chemotherapy(NAC)in patient with breast cancer via full quantitative parameters of dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI).Methods Forty patients with breast cancer were selected.The 18 fluorodeoxyglucose positron emission tomography/computed tomography(18F-FDG PET/CT)and DCE-MRI were performed before and after two cycles of NAC.According to the decrease rate of maximum standardized uptake value(ΔSUVmax)of PET/CT before and after two cycles of NAC,all patients were divided into two groups,including good response group(24 cases)(ΔSUVmax>40%)and general response group(16 cases)(ΔSUVmax≤40%).The changes of full quantitative parameters of DCE-MRI between the two groups were observed and analyzed.Results There were statistically significant differences in changes of Ktrans and Kep between the two groups(P<0.05),however,there was no significant difference in the change of Ve between the two groups(P>0.05).There was a significant positive correlation between ΔKtrans and ΔSUVmax(r=0.850,P<0.001).There was a high positive correlation between ΔKtrans and ΔKep(r=0.727,P<0.001).Conclusion The full quantitative parameters of DCE-MRI are helpful to evaluate the early efficacy of NAC in breast cancer,which can reflect the changes of microcirculation in the lesion,further reflect the therapeutic effect of NAC,guide the clinical optimization of treatment plan in time,and achieve accurate evaluation and individualized treatment.

Objective: To design the proficiency testing (PT) project (No. NIFDC-PT-183) for assays of bismuth potassium citrate capsules and organize to assess the proficiency of complexometric titration in laboratories, and provide some technical analyses and advices.
Methods: Two groups of samples with different concentration were prepared. The uniformity was evaluated with one-way analysis of variance and the stability was confirmed with t-test, whose results all conformed the requirements. The samples with three combinations were randomly distributed to 279 laboratories. The determination was performed according to the assays of bismuth potassium citrate capsules in Volume Ⅱ of the Chinese Pharmacopoeia 2015. The median value and normalized interquartile range (NIQR) of robust statistical analysis was adopted and Z-scores were used to evaluate the results from each of laboratories.
Results: Among 279 laboratories, 240 laboratories results were satisfactory, 23 were questionable, and the other 16 were unsatisfied. The satisfaction rate was 86.0%.
Conclusion: The overall capacity of national laboratories for assays of bismuth potassium citrate capsules is good while a portion of participants require further improvement.