Objective To explore the quality markers of Puerariae Lobatue Radix;To predict its"efficacy component group"with alcohol detoxification and liver protection effects.Methods Fingerprints of 26 batches of Puerariae Lobatue Radix samples from different origins in China was established.Multivariate statistical analysis was employed to identify quality markers,while network pharmacology and molecular docking were used to predict the potential"efficacy component group".Results UPLC fingerprint analysis calibrated 11 common peaks.Clustering analysis classified 26 batches of samples into 3 categories,and 7 quality markers were ultimately screened through multivariate statistical analysis,including mirificin,puerarin,puerarin-6''-O-xyloside,3'-methoxypuerarin,ononin,genistin and daidzin.Network pharmacology revealed that all 7 markers interacted with targets related to alcohol-associated liver disease,identifying 19 core targets such as TNF,CASP3,BCL2,MMP9,IL2,and 93 signaling pathways involving IL-17 and PI3K-Akt signaling pathways.Molecular docking demonstrated strong binding affinity between the 7 markers and target proteins,with binding energies<-5 kcal/mol.Conclusion The"efficacy component group",main targets and signaling pathways predicted in this study can provide support for the research on the mechanism,material basis and quality control of the alcohol detoxification and liver protection effects of Puerariae Lobatue Radix.

Objective To analyze the predictive value of Alberta stroke program early CT score(ASPECTS),acute stroke registry and analysis of Lausanne(ASTRAL)and totaled health risks in vascular events(THRIVE)for prognosis of intravenous thrombolysis in elderly patients with acute cerebral infarction(ACI).Methods A total of 118 elderly ACI patients receiving intravenous thrombolytic therapy in Department of Emergency Medicine of Shengli Oilfield Central Hospital from January 2021 to September 2024 were prospectively recruited.According to the score of Modified Rankin scale(mRS)at 3 months after treatment,the patients were divided into good prognosis group(73 cases)and poor prognosis group(45 cases).The scores of ASPECTS,ASTRAL and THRIVE models were compared between the two groups.ROC curve was plotted to evaluate the predictive efficiency of the three models for 3-month prognosis,and the area under the curve(AUC)was calculated.Results The poor prognosis group had significantly higher ASTRAL score and THRIVE score but obviously lower ASPECTS score when compared to the good prognosis group(P＜0.01).ROC curve analysis revealed that the AUC value of ASPECTS,ASTRAL and THRIVE models for prognosis evaluation was 0.731,0.935 and 0.799,respectively(P＜0.01),with excellent goodness of fit.Conclusion All the three models can effectively predict the prognosis of elderly ACI patients at 3 months after intravenous thrombolytic therapy.

Objective To explore the quality markers of Puerariae Lobatue Radix;To predict its"efficacy component group"with alcohol detoxification and liver protection effects.Methods Fingerprints of 26 batches of Puerariae Lobatue Radix samples from different origins in China was established.Multivariate statistical analysis was employed to identify quality markers,while network pharmacology and molecular docking were used to predict the potential"efficacy component group".Results UPLC fingerprint analysis calibrated 11 common peaks.Clustering analysis classified 26 batches of samples into 3 categories,and 7 quality markers were ultimately screened through multivariate statistical analysis,including mirificin,puerarin,puerarin-6''-O-xyloside,3'-methoxypuerarin,ononin,genistin and daidzin.Network pharmacology revealed that all 7 markers interacted with targets related to alcohol-associated liver disease,identifying 19 core targets such as TNF,CASP3,BCL2,MMP9,IL2,and 93 signaling pathways involving IL-17 and PI3K-Akt signaling pathways.Molecular docking demonstrated strong binding affinity between the 7 markers and target proteins,with binding energies<-5 kcal/mol.Conclusion The"efficacy component group",main targets and signaling pathways predicted in this study can provide support for the research on the mechanism,material basis and quality control of the alcohol detoxification and liver protection effects of Puerariae Lobatue Radix.

Objective To analyze the predictive value of Alberta stroke program early CT score(ASPECTS),acute stroke registry and analysis of Lausanne(ASTRAL)and totaled health risks in vascular events(THRIVE)for prognosis of intravenous thrombolysis in elderly patients with acute cerebral infarction(ACI).Methods A total of 118 elderly ACI patients receiving intravenous thrombolytic therapy in Department of Emergency Medicine of Shengli Oilfield Central Hospital from January 2021 to September 2024 were prospectively recruited.According to the score of Modified Rankin scale(mRS)at 3 months after treatment,the patients were divided into good prognosis group(73 cases)and poor prognosis group(45 cases).The scores of ASPECTS,ASTRAL and THRIVE models were compared between the two groups.ROC curve was plotted to evaluate the predictive efficiency of the three models for 3-month prognosis,and the area under the curve(AUC)was calculated.Results The poor prognosis group had significantly higher ASTRAL score and THRIVE score but obviously lower ASPECTS score when compared to the good prognosis group(P＜0.01).ROC curve analysis revealed that the AUC value of ASPECTS,ASTRAL and THRIVE models for prognosis evaluation was 0.731,0.935 and 0.799,respectively(P＜0.01),with excellent goodness of fit.Conclusion All the three models can effectively predict the prognosis of elderly ACI patients at 3 months after intravenous thrombolytic therapy.

Coronary restenosis is an important cause of poor long-term prognosis in patients with coronary heart disease. Here, we show that lysine methyltransferase SMYD2 expression in the nucleus is significantly elevated in serum- and PDGF-BB-induced vascular smooth muscle cells (VSMCs), and in tissues of carotid artery injury-induced neointimal hyperplasia. Smyd2 overexpression in VSMCs (Smyd2-vTg) facilitates, but treatment with its specific inhibitor LLY-507 or SMYD2 knockdown significantly inhibits VSMC phenotypic switching and carotid artery injury-induced neointima formation in mice. Transcriptome sequencing revealed that SMYD2 knockdown represses the expression of serum response factor (SRF) target genes and that SRF overexpression largely reverses the inhibitory effect of SMYD2 knockdown on VSMC proliferation. HDAC3 directly interacts with and deacetylates SRF, which enhances SRF transcriptional activity in VSMCs. Moreover, SMYD2 promotes HDAC3 expression via tri-methylation of H3K36 at its promoter. RGFP966, a specific inhibitor of HDAC3, not only counteracts the pro-proliferation effect of SMYD2 overexpression on VSMCs, but also inhibits carotid artery injury-induced neointima formation in mice. HDAC3 partially abolishes the inhibitory effect of SMYD2 knockdown on VSMC proliferation in a deacetylase activity-dependent manner. Our results reveal that the SMYD2-HDAC3-SRF axis constitutes a novel and critical epigenetic mechanism that regulates VSMC phenotypic switching and neointimal hyperplasia.

OBJECTIVE：To analysis the correlation between chrom aticity value and quality index of Atractylodis chinensis decoction piece powder stir-fired with bran ，and to determine its processing time. METHODS ：The processed samples of 16 batches of A. chinensis decoction piece stir-fired with bran （S0-S15，S0 is the raw product of A. chinensis ）were prepared ，and chromaticity values of all samples were determined ，such as lightness value （L*），yellow blue value （b*），red green value （a*）. UPLC fingerprint of sample were analyzed ，and the contents of extract and volatile oil were also determined. Pearson correlation was used to analyze the correlation between the chromaticity value and quality index （relative peak area of each chromatographic peak in UPLC fingerprint ，water-soluble extract content ，alcohol-soluble extract content and volatile oil content ）. Multivariate statistical analysis （principal component analysis ，cluster analysis ，partial least squares discriminant analysis ）was carried out with chromaticity value and quality index ，and the processing time of A. chinensis decoction piece stir-fired with bran was determined by grey correlation method. RESULTS ：In the process of bran frying ，with the extension of processing time ，L* and b* of decoction pieces powder decreased ，and a* increased first and then decreased ；relative areas of peak 1 and peak 2 increased first and then decreased，while relative areas of peak 3（5-hydroxymethyl furfural ）increased，and the areas of the other peaks decreased. The content of the extract did not change significantly with time ，and the content of the volatile oil decreased. The results of correlation analysis showed that the relative peak area of peak 2-27，alcohol-soluble extract content and volatile oil content had a certain correlation with the chromaticity value ，while the relative peak area of peak 1 and water-soluble extract content had no linear correlation with the chromaticity value. Results of multivariate statistical analysis showed that the samples were divided into mild （S0-S5），excessive （S12-S15），moderate （S6-processing time of 18-33 min）. The results of grey correlation method showed that the processing time of A. chinensis decoction piece stir-fired w ith bran should be controlled in the range of 18-24 min，and the optimal processing time was 18 min. CONCLUSIONS ：There is a correlation between chromaticity value of A. chinensis decoction piece powder stir-fired with bran and the relative peak area of 27 chromatographic peaks ，and content of extract and volatile oil. It is suggested that the processing time should be 18 min.

Objective:To establish a sensitive and rapid nucleic acid detection method for 2019-nCoV that can be promoted in primary laboratories.Methods:The detection method for 2019-nCoV nucleic acid was established based on the Bubble Mediated Nucleic Acid Denaturation (BMD)-PCR technology with 2019-nCoV specific primers and probes. To validate this method, the laboratory-confirmed clinical samples (including 60 positives and 68 negatives of 2019-nCoV) were used and meanwhile the result were compared with the commercialized 2019-nCoV nucleic acid detection kits. The specificity of this method was validated by using 11 respiratory viruses and enteroviruses which cover common genotypes.Results:The BMD-PCR method showed good specificity in the detection of 2019-nCoV nucleic acid. It had no cross-reactivity with 11 common respiratory viruses and enteroviruses, and the limit of detection was less than 600 copies/ml. In addition, the qualitative result of 128 clinical samples were 100% consistent with the commercialized detection kits. Furthermore, the detection time can be shortened to 28 minutes.Conclusions:BMD-PCR for 2019-nCoV nucleic acid rapid detection could quickly diagnose and identify clinical samples, and could meet the current urgent needs of large-scale population and high-throughput screening which has important public health significance.

OBJECTIVE: To establish a headspace gas chromatography-mass spectrometry method for the determination of 14 chlorinated hydrocarbons in urine. METHODS: The urine sample 4.00 mL and anhydrous sodium sulfate 3.00 g were added into a 10.00 mL headspace bottle, then the headspace bottle was maintained at 70 ℃ for 40.0 min. After headspace pretreatment, 14 chlorinated hydrocarbons in headspace air were separated in the DB-5 MS capillary column of the gas chromatography and detected by mass spectrometer. RESULTS: There was a good linear relationship of 14 chlorinated hydrocarbons in urine in the range of 0.62-1 630.00 μg/L. The linear correlation coefficient was greater than 0.999 0.The minimum detectable concentration was 0.19-0.43 μg/L and the minimum quantitative concentration was 0.62-1.44 μg/L. The average recovery rate was 89.8%-107.1%. The within-run relative standard deviation(RSD) was 4.0%-8.5% and the between-run RSD was 6.3%-9.1%. Urine samples can be stored at 4 ℃ or-8 ℃ for 3 days and below-20 ℃ for 7 days. CONCLUSION: This method is rapid, simple, sensitive, accurate and has little interference,which can be used as a method for detecting 14 kinds of chlorinated hydrocarbons in urine samples of patients with occupational poisoning.

Objective:To analyze the body composition of breast cancer patients and the changes with age; to compare the incidence of obesity in breast cancer patients with different diagnostic criteria; To understand the relationship between body mass index (BMI) and body composition; to investigate the incidence of sarcopenia and its relationship with obesity in breast cancer patients.Methods:The bioelectrical impedance technique was used to analyze the body composition of 1 187 female breast cancer patients before surgery.Results:There was a statistically significant difference between different age groups of breast cancer patients with various body composition indicators ( F values were 3.767-32.627, P < 0.01), and the incidence of obesity and sarcopenia was different in different age groups ( χ2 value was 20.819, P < 0.01). The obesity detection rate of different diagnostic methods was different. The obesity rate diagnosed by body fat percentage (PBF) was the highest. 28.14% (334/1 187) of breast cancer patients were diagnosed as "invisible obesity", which refers to normal or low BMI but excessive PBF. BMI was positively correlated with all body composition indicators ( r values were 0.137-0.954, P < 0.01), and moderately correlated with PBF and skeletal muscle mass ( r values were 0.761, 0.534, P < 0.01). The incidence of sarcopenia in breast cancer patients was 8.26% (98/1 187). 8.78% (64/1 187) of the patients with normal BMI were diagnosed as Sarcopenia. Among patients with excess PBF and excess visceral fat area, 6.70% (47/1 187) and 5.98% (15/1 187) were diagnosed with sarcopenia, respectively. Conclusion:The incidence of PBF obesity in breast cancer patients is high, and some patients have sarcopenia, which is not good for prognosis. Bioelectrical impedance technology can accurately assess the body composition of patients, and can find "invisible obesity" and sarcopenia that cannot be diagnosed by BMI, which is worthy of further promotion and application in clinical practice.

OBJECTIVE: To establish a method for detecting dichloromethane,trichloromethane and 1,2-dichloroethane in blood by gas chromatography-mass spectrometry. METHODS: Using static headspace analysis, three halogenated hydrocarbons in blood samples were separated by DB-5 MS elastic capillary column and detected by gas chromatographymass spectrometry. RESULTS: There was a good linear relationship in the selected range of dichloromethane,trichloromethane and 1,2-dichloroethane in blood. The linear correlation coefficient was greater than 0. 999 8. The detection limit and the lower limit of quantitation was 0. 19-0. 28 and 0. 64-0. 93 μg/L,respectively. The average recovery rate was 95. 1%-106. 6%. The within-run and between-run relative standard deviation was 2. 9%-4. 9% and 5. 0%-7. 0%,respectively. The samples could be preserved at room temperature or 4 ℃ for 3 days and at-8 ℃ or below for7 days. CONCLUSION: With the features of high sensitivity,precision,accuracy,easy operation and less interference,this method is suitable for detecting dichloromethane,trichloromethane and 1,2-dichloroethane in the blood.