BackgroundMonitoring the blood concentrations of antipsychotic drugs and their metabolites can guide the adjustment of clinical treatment plans， improving therapeutic efficacy while reducing adverse effects. However， there is currently a lack of a method that can accurately and efficiently quantitatively detect multiple antipsychotic drugs and their metabolites. ObjectiveTo establish a ultra-high performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS） method for the simultaneous identification and quantitation of 12 antipsychotic drugs and their main metabolites in human serum. MethodsUsing UPLC-MS/MS technology， protein precipitation method was employed for sample pretreatment. An Agela Technologies Durashell C₈ chromatographic column （50 mm×3.0 mm， 5 μm） was selected for chromatographic separation with gradient elution. The flow rate was 0.4 mL/min， and the total analysis time was 5 minutes. The column temperature was 40℃. The mass spectrometry detection was carried out in the multiple reaction monitoring （MRM） mode， and the isotope internal standard method was used for quantification. ResultsThe relative standard deviation （RSD） of the internal standard normalization matrix effect factor for 12 antipsychotic drugs and their main metabolites at low and high quality concentrations was all less than 15%. The extraction recovery rate was 85% to 115%. They showed good linear relationships within their respective standard curve ranges （r>0.995）. At low， medium， and high quality concentrations， the accuracy was 85.24% to 114.71%， and the RSD of intra-batch and inter-batch precision was all ≤14.15%， with good stability. ConclusionAll the analytical performance indicators of this method meet the verification requirements， providing an analytical means for the quantitative detection of antipsychotic drugs and their main metabolites in human serum. ［Funded by The Third Batch of Science and Technology Projects in Chaozhou City in 2023 （number， 202303GY02）］

Objective To investigate the role of the neutrophil-to-lymphocyte ratio(NLR)in predicting the in-hospital mortality risk of patients with acute aortic dissection(AAD)in multicenter hospitals.Methods A multicenter retrospective cohort study was conducted.Clinical data were collected from 2642 AAD patients who were hospitalized in five teaching hospitals:Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology,Henan Provincial People's Hospital,Fuwai Central China Cardiovascular Hospital,the Third Affiliated Hospital of Xinxiang Medical University,and the Second Affiliated Hospital of Chongqing Medical University between August 2010 and December 2021.According to the quartiles of serum NLRlevels,the patients were divided into four groups:first quartile(Q1,n=660),second quartile(Q2,n=661),third quartile(Q3,n=661),and fourth quartile(Q4,n=660).The clinical characteristics and biochemical indicators of each group were compared.Partial correlation analysis was used to assess the relationship between NLR and cardiovascular parameters.Restricted cubic splines,Kaplan-Meier survival analysis,and Cox regression models were employed to evaluate the association between NLR levels and in-hospital mortality risk in AAD patients.Results The median age of all patients was 54[interquartile range(IQR):46-63]years,including 2096 males and 546 females.Compared with Q1-Q3 groups,patients inQ4group had a lower incidence of smoking history and diabetes history,and were more likely to have DeBakey type Ⅰ AAD(P＜0.05).Additionally,the levels of aspartate aminotransferase,high-density lipoprotein cholesterol,creatinine,and D-dimer in Q4 group were higher,while the levels of triglycerides and C-reactive protein(CRP)were lower(P＜0.01).The results of partial correlation analysis showed that the plasma NLR level was positively correlated with D-dimer(r=0.43,P＜0.01)and creatinine(r=0.16,P＜0.01).The restricted cubic spline function in the Cox model revealed a significant non-linear relationship between the plasma NLR level and clinical outcomes in AAD patients(P＜0.01).Kaplan-Meier survival analysis indicated that patients in Q4 group had the highest in-hospital mortality rate compared with Q1-Q3 groups(P＜0.0001).Furthermore,multivariate Cox regression analysis demonstrated that compared with Q1 group,the hazard ratio(HR)of NLR in Q4 group was 1.77(95％CI 1.33-2.37,P＜0.001),which was an independent risk factor for the primary endpoint events.Conclusion A higher plasma NLR level is significantly associated with the occurrence of cardiovascular events in AAD patients,and this association remains significant even after adjusting for potential confounding factors such as the multicenter visiting hospitals.

Objective To investigate the potential mechanism of action of polygonatum odoratum in treating Alzheimer's disease through the utilization of network pharmacology and molecular docking techniques.Methods The methods employed include target screening,Gene Ontology(GO)function and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis,and molecular docking simulations to assess the binding interactions between the active compounds in polygonatum odoratum(POD)and the key target proteins associated with Alzheimer's disease.Subsequently,lipopolysaccharide(LPS)was used to induce an inflammatory cell model in BV2 microglial cells.After treating the cell model with POD extract for 24 hours,the cells were collected,and the expression of the target genes were detected by Real-time PCR.Results Eight active ingredients and 172 targets of POD were screened.The biological processes such as protein phosphorylation and signal transduction,protein binding and ATP binding were obtained by GO functional analysis.KEGG enrichment yielded PI3K/Akt,cAMP and other signaling pathways.The molecular docking result showed that the active ingredient of POD had well binding activity with epidermal growth factor receptor(EGFR),proto-oncogene tyrosine-protein kinase Src(SRC),tumor necrosis factor(TNF),STAT3.Through Real-time PCR experiments,the gene expressions of inducible nitric oxide synthase(iNOS),prostaglandin G/H synthase 2(PTGS2),interleukin(IL)-6,and IL-1β in the LPS-induced inflammatory cell model were significantly upregulated.After treating the inflammatory model with POD extract for 24 hours,the expression of TNF-α was significantly reduced,the expression of STAT3 was upregulated,there were no significant changes in the expressions of SRC and EGFR.Conclusion Network pharmacology suggests polygonatum odoratum's potential anti-Alzheimer's effects may be mediated through its interaction with targets such as EGFR,TNF,SRC,and STAT3.The experimental results suggest that polygonatum odoratum exerts an anti-inflammatory effect by acting on TNF-α,which may further alleviate the symptoms of Alzheimer's disease.

Objective To explore the mechanism by which the sanguis draconis flavones(SDF)regulates the reactive oxygen species(ROS)/thioredoxin-interacting protein(TXNIP)pathway to mediate cell pyroptosis and improve cerebral ischemia-reperfusion injury(CIRI)in rats.Methods The experimental rats were randomly divided into the control group(Ctrl),the CIRI group,the low-dose SDF group(SDF-L),the high-dose SDF group(SDF-H),and the SDF-H+ROS/TXNIP pathway activator,trimethylamine oxide(TMAO)group(SDF-H+TMAO).Among them,except for the control group,the remaining rats all needed to establish the CIRI rat model by the modified suture method.Zea Longa scoring was performed on rats from each group.ELISA was used to detect the levels of serum inflammatory factors interleukin(IL)-1β,IL-18 and oxidative stress-related factors superoxide dismutase(SOD),malondialdehyde(MDA),glutathione peroxidase(GSH-Px).Flow cytometry was used to measure the ROS levels.Cerebral edema was detected.Cerebral infarction was detected by 2,3,5-triphenyl tetrazolium chloride(TTC)staining.HE staining was used to detect the pathological changes of brain tissue.Immunohistochemistry was used to detect the expression of pyrolytic effector protein dermolin D(GSDMD).Western blotting was used to detect the expression of proteins related to the ROS/TXNIP pathway.Results Compared with the control group,a large area of cerebral infarctions were observed in the brain tissue of the CIRI group,accompanied by mild hemorrhage and obvious infiltration of inflammatory cells.Neuronal cells underwent degeneration and necrosis,with sparse and disordered arrangement.The phenomena of nuclear condensation and nucleolus lysis were obvious.The Zea Longa score,cerebral infarction volume,brain tissue water content,levels of IL-1β,IL-18,ROS,MDA,and the expressions of GSDMD,TXNIP,nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3),apoptosis-related punctate protein(ASC),and Caspase-1 increased,while the activities of SOD and GSH-Px decreased(P＜0.05).Compared with the CIRI group,the pathological damage of brain tissues in the SDF-L group and the SDF-H group was significantly improved.The Zea Longa score,cerebral infarction volume,brain tissue water content,levels of IL-1β,IL-18,ROS,MDA,and the expressions of GSDMD,TXNIP,NLRP3,ASC,and Caspase-1 decreased.The activities of SOD and GSH-Px increased(P＜0.05);TMAO treatment partially reversed the improvement effect of SDF on CIRI in rats.Conclusion SDF ameliorates cerebral CIRI in rats by inhibiting ROS/TXNIP pathway-mediated pyroptosis.

Objective To observe the clinical effect of Zuogui Pill combined with western medi-cine in treatment of gestational diabetes mellitus(GDM)with qi and yin deficiency syndrome.Meth-ods A total of 92 GDM patients with qi and yin deficiency syndrome from the Second Affiliated Hos-pital of Guizhou University of Traditional Chinese Medicine between January 2022 and October 2023 were enrolled and randomly divided into study group and control group,with 46 patients in each group.The control group received western medicine treatment,while the study group received Zuogui Pill combined with western medicine treatment.Both groups were treated for 4 weeks.The treatment effects,as well as the levels of glycolipid indicators[total cholesterol(TC),triglyceride(TG),fast-ing plasma glucose(FPG),low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C),and glycated hemoglobin(HbA1c)],insulin resistance indicators[fasting in-sulin(FINS),homeostasis model assessment of β-cell function(HOMA-β),and homeostasis model assessment of insulin resistance(HOMA-IR)],inflammatory and stress factors[serum amyloid A(SAA),interleukin-6(IL-6),malondialdehyde(MDA),and reactive oxygen species(ROS)],serum microRNA(miR)-21 and miR-149 levels,and occurrence of adverse pregnancy outcomes were compared be-tween the two groups before and after treatment.Results After 4 weeks of treatment,the total ef-fective rate was higher in the study group than that in the control group(P＜0.05).After treat-ment,the levels of FPG,HbA1c,TC,LDL-C,and TG were lower,and the levels of HDL-C were higher in both groups than before treatment,and the levels of FPG,HbA1c,TC,LDL-C in the study group were lower than those in the control group,and the level of HDL-C was higher in the study group than that in the control group(P＜0.05).After treatment,the levels of FINS and HOMA-IR were lower in both groups than before treatment,and their levels in the study group were lower than those in the control group;the levels of HOMA-β were higher in both groups than before treatment,and its level in the study group was higher than that in the control group(P＜0.05).After treat-ment,the levels of SAA,IL-6,MDA,and ROS were lower in both groups than before treatment,and their levels in the study group were lower than those in the control group(P＜0.05).Before treatment,there were no statistically significant differences in the levels of serum miR-21 and miR-149 between the two groups(P＞0.05);after treatment,the levels of serum miR-21 and miR-149 were lower in both groups than before treatment,and their levels in the study group were lower than those in the control group(P＜0.05).Before treatment,the traditional Chinese medicine syndrome score was(8.12±1.31)in the study group and(7.86±1.28)in the control group,with no statisti-cally significant difference between the two groups(P＞0.05);after treatment,the traditional Chi-nese medicine syndrome score was(3.31±0.46)in the study group,which was lower than(4.57±0.59)in the control group(t=11.423,P＜0.05).Compared with the control group,the incidence of adverse pregnancy outcomes was lower in the study group(P＜0.05).Conclusion Zuogui Pill combined with western medicine can effectively improve glycolipid metabolism and insulin resistance in GDM patients and reduce the incidence of adverse pregnancy outcomes.

Objective To investigate the relationships of serum levels of G protein-coupled es-trogen receptor-1(GPER1)and interleukin-38(IL-38)with pregnancy outcomes in patients with gestational diabetes mellitus(GDM).Methods A total of 120 patients with GDM(GDM group)and 103 pregnant women with normal glucose tolerance(control group)were enrolled between Janu-ary 2022 and June 2024.Serum GPER1,IL-38,and glycometabolic and lipometric indicators were measured at 24 to 28 weeks of gestation.Pearson correlation analysis was used to assess the correla-tions of GPER1 and IL-38 with glucolipid indicators.Pregnancy outcomes of GDM patients were re-corded.Factors influencing adverse pregnancy outcomes in GDM patients and the predictive value of GPER1 and IL-38 for adverse pregnancy outcomes were analyzed.Results The serum levels of GPER1 and IL-38 in the GDM group were significantly lower than those in the control group(P＜0.05).Moreover,GPER1 and IL-38 were negatively correlated with glucolipid indicators(P＜0.05).High HOMA-IR and excessive gestational weight gain were identified as risk factors for ad-verse pregnancy outcomes in GDM patients,while high GPER1 and high IL-38 were protective factors(P＜0.05).The areas under the receiver operating characteristic(ROC)curves for predicting ad-verse pregnancy outcomes in GDM patients were 0.780 for GPER1 and 0.789 for IL-38,respectively.The area under the ROC curve for the combined prediction of GPER1 and IL-38 was 0.887.The predictive value of the combined GPER1 and IL-38 was higher than that of GPER1 or IL-38 alone(P＜0.05).Conclusion Reduced serum levels of GPER1 and IL-38 in GDM patients are associated with glycometabolic and lipometric disorders,insulin resistance,and adverse pregnancy outcomes.GPER1 combined with IL-38 exhibits high value in predicting pregnancy outcomes in GDM patients.

Background: This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018. Methods: We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO. Results: The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups. Conclusion This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.

Objective To investigate the clinical efficacy of recombinant human granulocyte-macrophage colony-stimulating factor(rhGM-CSF)combined with bifidobacterium in the treatment of oral mucositis after chemotherapy.Methods A total of 60 post-chemotherapy patients with oral mucositis admitted to Ganzhou Cancer Hospital of Jiangxi Province from January 2023 to December 2024 were selected as subjects,the patients were divided into observation group(n=30)and control group(n=30)by using a randomized digital table method.The control group received rhGM-CSF mouthwash treatment,while the observation group was additionally administered bifidobacterium-lactobacillus triple live capsules orally.Clinical efficacy,symptom scores,inflammatory factor levels,oral microbiota indicators,and treatment safety were evaluated after 2 weeks of treatment.Results After treatment,the total effective rate in observation group was significantly higher than that in control group(P＜0.05).Post-treatment evaluations showed that patients in observation group exhibited lower scores for edema,congestion,and ulceration,along with reduced pain visual analog scores and decreased levels of inflammatory markers including Toll-like receptor 4,lectin-3,and interleukin-8,the difference were statistically significant(P＜0.05).After treatment,the oral microecological flora of patients in observation group,including lactic acid bacteria and bifidobacterium,were higher than that of control group,while porphyromonas gingivalis and fusetella were lower than that of control group,the difference were statistically significant(P＜0.05).Conclusion The clinical effect of rhGM-CSF combined with bifidobacterium in the treatment of oral mucositis after chemotherapy was significant,which could reduce various symptoms of patients,inhibit inflammatory factors,improve oral microecology,and have good safety.

Near infrared spectroscopy(NIRS)analysis technology has become an important process analysis tool in industrial and agricultural production,and has been widely used for qualitative and quantitative analysis in the fields of tobacco,agriculture,and pharmaceuticals.To address issues such as poor generalization ability and low prediction accuracy in NIRS modeling,a two-dimensional convolutional neural network(2DCNN)quantitative analysis model based on competitive adaptive reweighted sampling(CARS)and Gramian angular difference field(GADF)(CARS-GADF-2DCNN)was proposed.CARS-GADF-2DCNN used the CARS method to select an optimal wavelength set from the full spectrum,then employed GADF to encode the selection results into two-dimensional images,and finally used 2DCNN for prediction analysis.The 2DCNN model consisted of convolutional layers,parallel convolution modules,flattening layer,and fully connected layers.Simulation experiments were conducted on three public near-infrared(NIR)spectral datasets encompassing soil,tablet,and grain datasets to evaluate the CARS-GADF-2DCNN model.The results demonstrated that,compared to the one-dimensional convolutional neural network(1DCNN),the GADF-2DCNN model achieved 16.74％,23.40％,and 7.13％improvement in prediction accuracy for the soil,tablet,and grain datasets,respectively.Compared to GADF-2DCNN,VCPA-GADF-2DCNN,and IRIV-GADF-2DCNN models,the CARS-GADF-2DCNN model further improved prediction accuracy.For the soil dataset,prediction accuracy improved by 39.00％,30.78％and 4.13％;for the tablet dataset,the improvements were 9.52％,6.94％and 2.56％;for the grain dataset,the improvements were 20.57％,9.85％and 15.66％.In conclusion,CARS-GADF-2DCNN effectively selected the optimal wavelength subset from near infrared spectra,and revealed the latent features between different wavelengths.CARS-GADF-2DCNN addresses the issues of high complexity in prediction models and low prediction accuracy in near infrared spectral modeling,and could be effectively applied to near infrared spectral prediction analysis of different substances.