Objective:To explore the relationship between the prognostic nutritional index(PNI)and the prevalence of coronary heart disease(CHD)in adults.Methods:A cross-sectional analysis was conducted based on the 2017-2020 National Health and Nutrition Examination Survey(NHANES)database.A total of 12,141 adult participants were initially included and divided into CHD group and control group according to the disease status questionnaire.PNI was calculated using serum albumin level and lymphocyte count.Multivariable logistic regression was applied to explore the association between PNI and the prevalence of CHD in adults.Subgroup analysis was conducted to assess whether this association remained consistent across different populations.A restricted cubic spline model was con-structed to clarify the dose-response relationship between PNI and CHD prevalence in adults.Results:Among the 3,894 adult participants,200(5.14％)had CHD.The PNI level in CHD patients was significantly lower than that of the control group[(49.20±8.59)vs.(51.57±4.80),P＜0.001].Multivariable logistic regression analysis showed that,after adjustment for sex,age,race,marital status,body mass index(BMI),hypertension,diabetes and family history of cardiovascular disease,an increase in PNI was still independently associated with a lower prev-alence of CHD(odds ratio[OR]=0.92,95％CI 0.89～0.94,P＜0.001).The dose-response relationship indica-ted a negative linear correlation between PNI and CHD prevalence(P＜0.001).Subgroup analysis showed that the association between PNI and CHD differed significantly across BMI,hypertension and diabetes subgroups(P for in-teraction＜0.05 or＜0.01).Conclusion:Increasing PNI was significantly associated with a lower prevalence of CHD in adults,and this association was more pronounced in specific high-risk populations,such as those with obe-sity,hypertension,and diabetes.Our findings suggest that maintaining good nutritional status is of great significance in reducing the risk of CHD.

Aim To establish an animal model of diabetic kidney disease(DKD)integrating blood stasis syndrome and syndrome evaluation indicators.Methods Twenty-five SD rats were ran-domly divided according to body weight into a control group(8 rats)and a modeling group(17 rats).The modeling group was fed a high-sugar and high-fat diet for four weeks and induced to form diabetic rats by intraperitoneal injection of 30 mg·kg-1 streptozocin.The modeling rats were randomly divided into the DKD group and blood stasis syndrome combination group accord-ing to 24-hour urinary protein(24-hUP).The blood stasis syn-drome combination group was induced to replicate the DKD blood stasis syndrome model by injecting 10％high molecular weight D-glucoside three times at a dose of 0.05 mg·kg-1 via tail vein.The model was evaluated based on random blood glu-cose level,24-hUP level,syndrome assessment,pathological staining etc,and differential metabolites were selected using metabolomics.Results The comprehensive evaluation of syn-drome manifestations and pathological staining in the combined model of blood stasis syndrome in rats demonstrated successful replication.Utilizing the technique of liquid chromatography-mass spectrometry,22 differential metabolites were identified,with associated pathways showing a certain relevance to blood stasis syndrome in DKD.Conclusions The successful replica-tion of an animal model combining the syndrome of blood stasis in DKD has been achieved in this study.Evaluation of indicators and results from metabolomics studies consistently demonstrate a correlation with the syndrome of blood stasis in DKD.

Integrated metabolomic and lipidomic profiling,utilizing liquid chromatography coupled with high-resolution mass spectrometry(LC-HRMS),has emerged as a pivotal strategy for biomarker discovery.However,the inherent polarity disparity between metabolites and lipids complicates simultaneous analysis.To address this,a dual-stationary phase polarity-extended liquid chromatography(PELC)system was developed,which surpassed conventional one-dimensional LC(1D-LC)by enabling comprehensive coverage of both polar and non-polar compounds within a single injection.This system enhanced chromatographic resolution,peak capacity,and throughput while minimizing analytical variability.Extracellular vesicles(EVs),lipid bilayer-enclosed nanoparticles ubiquitously present in biofluids,had gained prominence as reservoirs of cancer biomarkers due to their cargo stability and pathophysiological relevance.Herein,the application of PELC-HRMS for concurrent metabolome-lipidome profiling in EVs was pioneered.A total of 193 metabolites were identified using this technique coupled with MS-DIAL software and Human Metabolome Database.Subsequently,this technique was employed to explore potential biomarkers for prostate cancer(PCa).Multivariate analysis identified 17 differentially abundant metabolites in PCa,implicating dysregulated pathways including purine metabolism,starch and sucrose metabolism,galactose metabolism,cysteine and methionine metabolism,and biosynthesis of unsaturated fatty acids.Notably,creatine(AUC=0.92)and DG 42:5(AUC=0.80)demonstrated robust diagnostic efficacy,attributable to their broad polarity ranges and EV-specific enrichment.This study established PELC as a high-fidelity platform for multi-omics integration in complex biospecimens,advancing mechanistic insights into metabolic rewiring and disease pathophysiology.

Objective:To explore the relationship between the prognostic nutritional index(PNI)and the prevalence of coronary heart disease(CHD)in adults.Methods:A cross-sectional analysis was conducted based on the 2017-2020 National Health and Nutrition Examination Survey(NHANES)database.A total of 12,141 adult participants were initially included and divided into CHD group and control group according to the disease status questionnaire.PNI was calculated using serum albumin level and lymphocyte count.Multivariable logistic regression was applied to explore the association between PNI and the prevalence of CHD in adults.Subgroup analysis was conducted to assess whether this association remained consistent across different populations.A restricted cubic spline model was con-structed to clarify the dose-response relationship between PNI and CHD prevalence in adults.Results:Among the 3,894 adult participants,200(5.14％)had CHD.The PNI level in CHD patients was significantly lower than that of the control group[(49.20±8.59)vs.(51.57±4.80),P＜0.001].Multivariable logistic regression analysis showed that,after adjustment for sex,age,race,marital status,body mass index(BMI),hypertension,diabetes and family history of cardiovascular disease,an increase in PNI was still independently associated with a lower prev-alence of CHD(odds ratio[OR]=0.92,95％CI 0.89～0.94,P＜0.001).The dose-response relationship indica-ted a negative linear correlation between PNI and CHD prevalence(P＜0.001).Subgroup analysis showed that the association between PNI and CHD differed significantly across BMI,hypertension and diabetes subgroups(P for in-teraction＜0.05 or＜0.01).Conclusion:Increasing PNI was significantly associated with a lower prevalence of CHD in adults,and this association was more pronounced in specific high-risk populations,such as those with obe-sity,hypertension,and diabetes.Our findings suggest that maintaining good nutritional status is of great significance in reducing the risk of CHD.

Aim To establish an animal model of diabetic kidney disease(DKD)integrating blood stasis syndrome and syndrome evaluation indicators.Methods Twenty-five SD rats were ran-domly divided according to body weight into a control group(8 rats)and a modeling group(17 rats).The modeling group was fed a high-sugar and high-fat diet for four weeks and induced to form diabetic rats by intraperitoneal injection of 30 mg·kg-1 streptozocin.The modeling rats were randomly divided into the DKD group and blood stasis syndrome combination group accord-ing to 24-hour urinary protein(24-hUP).The blood stasis syn-drome combination group was induced to replicate the DKD blood stasis syndrome model by injecting 10％high molecular weight D-glucoside three times at a dose of 0.05 mg·kg-1 via tail vein.The model was evaluated based on random blood glu-cose level,24-hUP level,syndrome assessment,pathological staining etc,and differential metabolites were selected using metabolomics.Results The comprehensive evaluation of syn-drome manifestations and pathological staining in the combined model of blood stasis syndrome in rats demonstrated successful replication.Utilizing the technique of liquid chromatography-mass spectrometry,22 differential metabolites were identified,with associated pathways showing a certain relevance to blood stasis syndrome in DKD.Conclusions The successful replica-tion of an animal model combining the syndrome of blood stasis in DKD has been achieved in this study.Evaluation of indicators and results from metabolomics studies consistently demonstrate a correlation with the syndrome of blood stasis in DKD.

Objective:The aim of this study is to investigate the independent risk factors of benign prostatic hyperplasia(BPH)complicated with bladder stones,and construct a nomogram prediction model for clinical progression of bladder stones in pa-tients with BPH.Methods:The clinical data of 368 BPH patients who underwent transurethral resection of the prostate in the Second Affiliated Hospital of Zhengzhou University from January 2018 to January 2021 were retrospectively analyzed.Patients with BPH were divided into group 1(with bladder stones,n=94)and group 2(without bladder stones,n=274).Univariate and multivariate logistic regression analyses were performed to determine the independent risk factors of bladder stones in patients with BPH.A nomogram mod-el was developed,and the areas under the ROC curve and calibration curve were calculated to assess the accuracy of clinical applica-tion.Results:Logistic analysis showed that age(HR:1.075,95％CI:1.032 to 1.120),hypertension(HR:2.801,95％CI:1.520 to 5.161),blood uric acid(HR:1.006,95％CI:1.002 to 1.010),intravesical prostatic protrusion(HR:1.189,95％CI1.119 to 1.264),prostatic urethral angel(HR:1.127,95％CI:1.078to 1.178)were independent risk factors for bladder stones in patients with BPH.The discrimination of the nomogram model based on independent risk factors to predict the occurrence of bladder stones in pa-tients with BPH was 0.874.Conclusion:The nomogram model can predict the risk of bladder stones in BPH patients with good dif-ferentiation and calibration,which is a good guide for clinical work on BPH patients with high risk of bladder stones.

Objective To evaluate the value of multi-slice spiral computed tomography (CT) for diagnosing acute pulmonary embolism, and to provide a reference for the precise diagnosis of acute pulmonary embolism. Methods We enrolled a total of 102 patients pathologically diagnosed with acute pulmonary embolism from January 2019 to October 2023. All the patients underwent CT scanning of central and segmental pulmonary arteries with a GE 64-slice spiral CT scanner. The diagnostic efficacy of multi-slice CT scans for acute pulmonary embolism was evaluated with the pathological results as the gold standard. Results Of the 102 patients pathologically diagnosed with acute pulmonary embolism, multi-slice CT detected 92 cases, with an accuracy of 90.20% (92/102), including 17 cases (18.48%) of embolism in left pulmonary arteries, 31 cases (33.70%) of embolism in right pulmonary arteries, and 44 cases (47.82%) of embolism in both pulmonary arteries. Multi-slice CT visualized a total of 9905 pulmonary artery branches, and 304 of them (3.07%) had embolism, with the highest embolism rate in lobar arteries (43.89%). Conclusion Multi-slice spiral CT has high accuracy for diagnosing acute pulmonary embolism by directly and clearly visualizing embolism in the arteries of the lungs, which deserves clinical promotion.

Objective Corruption is the most common cadaver phenomenon in forensic practice and an important basis for inferring time of death(PMI),but the definition of corruption degree and the construction of model inference models have always been difficult in the practice of forensic science.Methods In this study,the late postmortem phenomena were observed.Meanwhile,the microbial flora structure of gut and gravesoil and the nature of gravesoil were detected,for analyzing the changes before and after the key moment of abdominal rupture which naturally happened during the cadaver decay.Results The results found that from the macroscopic and microscopic levels,there were significant differences in cadaver decay,including microbial flora structure and gravesoil properties before and after the key moment of the natural abdominal rupture during cadaver decay.The phenomena are highly observable and can be accurately judged by forensic examinations,as well as related means in the field of biology and physiochemistry.In this study,this critical event was called Rupture Point.Conclusion The Rupture Point can be used as an important node for the assessment of cadaver decay degree in the practice of forensic medicine.It can be utilized for a cut-off point as well when constructing PMI inference models based on microbial flora structure changes.The accuracy of PMI inference models can be improved when the models were constructed in segments.

Objective To establish a method based on high performance liquid chromatography for the determination of 3-demethylcolchicine(3 DMC)in rat plasma and to study its pharmacokinetic behavior in rats.Methods The concentration of 3 DMC in rat plasma was determined by high performance liquid chromatography(HPLC).Plasma samples were precipitated by acetonitrile and supernatant was centrifuged for analysis.The determination conditions were as follows:The chromatography was performed on Alphasil VC-C18 column(4.6 mm × 150.0 mm,5.0 μm)with mobile phase consisted of water-acetonitrile-methanol(79∶16∶5),iso-elution at the flow rate of 0.8 mL·min-1.The detection wavelength was set at 240 nm,with polydacryin as the internal standard.The specificity,standard curve and lower limit of quantitation,precision and recovery,matrix effect and stability of the method were investigated.The rats were randomly divided into low,medium and high dose groups(1,2 and 4 mg·kg-1 3DMC were injected into the tail vein,respectively),and blood was collected from orbital venous plexus.The concentration of 3DMC in plasma samples was measured;the pharmacokinetic parameters were calculated using Drug And Statistics(DAS)2.0.Results 3DMC has a good linear relationship between 0.39 and 25.00 μg·mL-1,and its standard curve is y=5.96 × 10-2x+7.60 × 10-3(r=0.999 5).The lower limit of quantitation was 0.39 μg·mL-1,the intra-day and inter-day relative standard deviations were-5.08％to 0.75％,the recovery was 93.23％to 108.90％,the matrix effect was 94.88％to 104.00％,and the stability relative standard deviation(RSD)was less than 8.72％.All the results met the requirements.Pharmacokinetic parameters of low,medium and high dose groups:Cmax were(1.66±0.24),(4.36±0.78)and(9.73±1.42)mg·L-1,respectively;t1/2 were(0.31±0.02),(0.32±0.11)and(0.48±0.06)h,respectively;AUC0-t were(0.50±0.09),(1.53±0.16)and(2.67±0.11)mg·L-1·h,respectively.Conclusion The established method for the determination of 3DMC concentration in rat plasma is simple,specific and sensitive,and is suitable for the determination of 3DMC concentration and pharmacokinetic study in rat plasma.

The chemical constituents of Dracocephalum tanguticum were investigated using normal-and reverse-phase silica gel column chromatography, RP-HPLC, and other separation techniques, combined with experimental methods such as NMR, UV, IR, MS, and ORD, as well as comparison with reported literature data. From the ethanol extract of D. tanguticum, 10 compounds were isolated and identified: dracotangusion C(1),(1R,4S,5S,10R)-(+)-germacrone-1(10)-4-diepoxide(2), 1β,4β,5β-trihydroxy-7(11),9-germacradien-8-one(3), curcumadione(4), β-sitosterol(5), lilacoside(6), diosmetin-7-O-β-D-glucopyranoside(7), diosmin(8), luteolin-7-O-glucoside(9), and luteolin(10). Among these, compound 1 is a novel sesquiterpenoid, while compounds 2-4 represent the first isolation of sesquiterpenoid components from this genus. By measuring the release of NO in the culture medium of lipopolysaccharide(LPS)-induced RAW264.7 macrophages, it was found that at an administration concentration of 20 μmol·L~(-1), all 10 compounds significantly inhibited the LPS-induced release of NO(P < 0.01), exhibiting anti-inflammatory effects.
Animals ; Mice ; Anti-Inflammatory Agents/chemistry* ; RAW 264.7 Cells ; Drugs, Chinese Herbal/pharmacology* ; Lamiaceae/chemistry* ; Nitric Oxide ; Macrophages/immunology* ; Molecular Structure