OBJECTIVE To establish the fingerprint of Pinghuo tea standard decoction and a method for determination of multi-component to clarify the transfer relationship of quantities and quality from pieces and standard decoction. METHODS Fifteen batches of Pinghuo tea standard decoction were prepared and the extract rate was determined； the fingerprint of the preparation was established by using high-performance liquid chromatography（HPLC）； the similarity evaluation and the determination of common peaks were performed， and chemometric analysis was performed； the same method was used to determine the content of indicator components and the transfer rate was calculated. The chromatographic column was Venusil C18 column with mobile phase consisted of acetonitrile-0.1% phosphoric acid solution （gradient elution）； the column temperature was 30 ℃， and the detection wavelengths were 238 nm （0-37 min， 85-102 min） and 330 nm （37-85 min） at a flow rate of 1.0 mL/min with an injection volume of 10 μL. RESULTS The similarity of HPLC fingerprints for 15 batches of Pinghuo tea standard decoction was not lower than 0.968. A total of 24 common peaks were calibrated and 9 peaks were recognized， which were as follows neochlorogenic acid （peak 3）， chlorogenic acid （peak 6）， geniposide （peak 9）， glycyrrhizin （peak 10）， galuteolin （peak 11）， isochlorogenic acid A （peak 14）， luteolin （peak 21）， kaempferol （peak 23） and glycyrrhizic acid （peak 24）. Cluster analysis， principal component analysis and orthogonal partial least squares discriminant analysis showed consistent results， all of which could classify the 15 batches of samples into three categories. The linear range of indicator components in 15 batches of Pinghuo tea standard decoction， such as geniposide， luteolin， isochlorogenic acid A， glycyrrhizin， and glycyrrhizic acid， were 0.020 580-0.411 600， 0.001 617-0.080 850， 0.006 076-0.607 600， 0.005 125-0.071 740， and 0.017 288-0.432 200 mg/mL， respectively； RSDs of precision， repeatability， stability and recovery rate tests were all not higher than 4% （n＝6）. The mass fractions ranged 3.227 9-10.002 2， 0.297 4-0.554 6， 3.350 1-6.159 6， 0.720 6-1.073 3， 2.003 1-3.030 1 mg/g； transfer rates from the pieces and standard decoction were 19.762 8%-35.840 5%， 12.123 3%-21.254 0%， 46.097 2%-82.869 4%， 58.708 8%-91.629 6%， 39.114 3%-63.710 6%. The transfer rates of the extract from 15 batches of Pinghuo tea standard decoction ranged from 61.15%-84.68%. CONCLUSIONS Established HPLC fingerprint and content determination methods in this study are simple and accurate， which can provide reference for the quantitative value transfer study， quality control， clinical application and the development of subsequent formulations of Pinghuo tea standard decoction.

Objective: To analyze the association between fine particulate matter (PM2.5) exposure in the air and dyslipidemia among primary school students, in order to provide the evidencebased support for the prevention and control of chronic diseases in children. Methods: The random sampling method was used to select 625 students from two primary schools in Anhui Province and Tianjin City from May to June 2024. Based on the home address, the annual average exposure levels of PM2.5 were obtained in 3 years before investigation, 2 years before investigation, and the past year before investigation. Fasting blood samples were collected for the detection of total cholesterol, triglycerides (TG), highdensity lipoprotein cholesterol and lowdensity lipoprotein cholesterol. Linear regression modeling was used to analyze the association between PM2.5 exposure and dyslipidemia among primary school students. Results: The rate of dyslipidemia among primary school students was 14.72% in the present study. The results of linear regression analysis showed that the TG increased by 0.019(95%CI=0.012-0.025)，0.023(95%CI=0.016-0.030) and 0.021(95%CI=0.014-0.027) mmol/L for every 1 μg/m3 increase of PM2.5 in the past year before investigation, 2 years before investigation and 3 years before investigation respectively (P<0.05). The results of binary Logisitic analysis showed that the risks of dyslipidemia in primary school students were positively correlated with PM2.5 mass concentration in the past year before investigation, 2 years before investigation, and 3 years before investigation [OR(95%CI)=1.06(1.02-1.11), 1.06(1.01-1.12), 1.06(1.01-1.11), P<0.05]. Conclusions PM2.5 exposure is associated with increased risk of dyslipidemia among primary school students. To protect the health of primary school students, effective measures should be taken to improve air quality.

Objective To investigate the correlation between spread through air space (STAS) of sub-centimeter non-small cell lung cancer and clinical characteristics and radiological features, constructing a nomogram risk prediction model for STAS to provide a reference for the preoperative planning of sub-centimeter non-small cell lung cancer patients. Methods The data of patients with sub-centimeter non-small cell lung cancer who underwent surgical treatment in Nanjing Drum Tower Hospital from January 2022 to October 2023 were retrospectively collected. According to the pathological diagnosis of whether the tumor was accompanied with STAS, they were divided into a STAS positive group and a STAS negative group. The clinical and radiological data of the two groups were collected for univariate logistic regression analysis, and the variables with statistical differences were included in the multivariate analysis. Finally, independent risk factors for STAS were screened out and a nomogram model was constructed. The sensitivity and specificity were calculated based on the Youden index, and area under the curve (AUC), calibration plots and decision curve analysis (DCA) were used to evaluate the performance of the model. Results A total of 112 patients were collected, which included 17 patients in the STAS positive group, consisting of 11 males and 6 females, with a mean age of (59.0±10.3) years. The STAS negative group included 95 patients, with 30 males and 65 females, and a mean age of (56.8±10.3) years. Univariate logistic regression analysis showed that male, anti-GAGE7 antibody positive, mean CT value and spiculation were associated with the occurrence of STAS (P＜0.05). Multivariate regression analysis showed that associations between STAS and male (OR=5.974, 95%CI 1.495 to 23.872), anti-GAGE7 antibody positive (OR=11.760, 95%CI 1.619 to 85.408) and mean CT value (OR=1.008, 95%CI 1.004 to 1.013) were still significant (P＜0.05), while the association between STAS and spiculation was not significant anymore (P=0.438). Based on the above three independent predictors, a nomogram model of STAS in sub-centimeter non-small cell lung cancer was constructed. The AUC value of the model was 0.890, the sensitivity was 76.5%, and the specificity was 91.6%. The calibration curve was well fitted, suggesting that the model had a good prediction efficiency for STAS. The DCA plot showed that the model had a good clinically utility. Conclusion Male, anti-GAGE7 antibody positive and mean CT value are independent predictors of STAS positivity of sub-centimeter non-small cell lung cancer, and the nomogram model established in this study has a good predictive value and provides reference for preoperative planning of patients.

[Objective] To validate and optimize the platelet transfusion refractoriness (PTR) prediction model for patients with hematological disorders established by our center. [Methods] The data of patients with hematological diseases who received platelet transfusions from December 2021 to December 2022 were used as the training set, and data from January 2023 to December 2023 as the validation set. The validation set data was used to validate the predictive model constructed on the training set. Relevant risk factors for PTR were collected through literature review and preliminary studies。 The patients were divided into effective and ineffective groups according to the corrected count increment (CCI) of platelet counts. Predictive factors were screened using univariate and multivariate logistic regression. The calibration of the model were assessed via calibration curves, while discrimination, accuracy, sensitivity, and specificity were evaluated using receiver operating characteristic (ROC) curves Clinical utility was further analyzed with decision curve analysis (DCA). [Results] The Hosmer-Lemeshow (H-L) goodness-of-fit test for the validation set yielded S: P=0.000, indicating that the original model needs optimization. Baseline comparisons and logistic regression identified the number of red blood cell units (RBCU) and platelet units (PLT-U) transfused as key predictors for the optimized model. The H-L goodness-of-fit test S: P values for the training and validation sets were 0.930 and 0.056, respectively; the ROC areas were 0.793 5 and 0.809 4, specificities 90.95% and 84.21%, sensitivities 59.26% and 70.04%, and accuracies 78.14% and 74.10%, respectively. DCA demonstrated clinical net benefit within a prediction probability threshold range of 0.2-0.8. [Conclusion] Transfusion volumes of RBC-U and PLT-U were inversely associated with PTR in hematological patients. The resulting PTR prediction model exhibits moderate predictive efficacy and clinical benefit.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

ObjectiveTo analyze the "compatibility" relationship of sugars and glycosides and the heat-clearing and blood-cooling effect of the roots of four varieties of Rehmannia glutinosa and provide a basis for research on the pharmacodynamic material basis and quality control of R. glutinosa. MethodsThe content of sugars and glycosides in the roots of four varieties of R. glutinosa was determined during the growth period. The principal component analysis （PCA）， orthogonal partial least squares-discriminant analysis （OPLS-DA）， and the "compatibility" relationship of active components were employed to screen out the differential samples. A rat model of bleeding due to blood heat was used to verify the pharmacodynamic differences and the potential active components of differential samples. ResultsThe content and proportion characteristics of various components in roots of the four varieties of R. glutinosa during the expansion stage and the maturity stage had obvious differences. The proportion of phenylethanoid glycosides at the maturity stage was higher than that at the expansion stage. The R. glutinosa variety 85-5 had special quality characteristics among the tested varieties. All the samples alleviated the symptoms in the rat model. The effect of clearing heat and cooling blood was different between the maturity stage and the expansion stage， as well as between 85-5 samples at the maturity stage and other samples. The effect of clearing heat and cooling blood of R. glutinosa roots was the result of the combined action of multiple components in R. glutinosa roots and might be related to the high proportions of polysaccharides， iridoid glycosides， and phenylethanoid glycosides. ConclusionThe growth stage and variety affect the quality of R. glutinosa roots. The effect of clearing heat and cooling blood of R. glutinosa roots was related to the content and proportions of various components. The study can provide a basis for the basic research on the active components and quality control of R. glutinosa.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

ObjectiveTo analyze the "compatibility" relationship of sugars and glycosides and the heat-clearing and blood-cooling effect of the roots of four varieties of Rehmannia glutinosa and provide a basis for research on the pharmacodynamic material basis and quality control of R. glutinosa. MethodsThe content of sugars and glycosides in the roots of four varieties of R. glutinosa was determined during the growth period. The principal component analysis （PCA）， orthogonal partial least squares-discriminant analysis （OPLS-DA）， and the "compatibility" relationship of active components were employed to screen out the differential samples. A rat model of bleeding due to blood heat was used to verify the pharmacodynamic differences and the potential active components of differential samples. ResultsThe content and proportion characteristics of various components in roots of the four varieties of R. glutinosa during the expansion stage and the maturity stage had obvious differences. The proportion of phenylethanoid glycosides at the maturity stage was higher than that at the expansion stage. The R. glutinosa variety 85-5 had special quality characteristics among the tested varieties. All the samples alleviated the symptoms in the rat model. The effect of clearing heat and cooling blood was different between the maturity stage and the expansion stage， as well as between 85-5 samples at the maturity stage and other samples. The effect of clearing heat and cooling blood of R. glutinosa roots was the result of the combined action of multiple components in R. glutinosa roots and might be related to the high proportions of polysaccharides， iridoid glycosides， and phenylethanoid glycosides. ConclusionThe growth stage and variety affect the quality of R. glutinosa roots. The effect of clearing heat and cooling blood of R. glutinosa roots was related to the content and proportions of various components. The study can provide a basis for the basic research on the active components and quality control of R. glutinosa.

Objective To explore Professor Wu Liqun's medication law for treating tic disorders in children.Methods Medical records of tic disorders children treated by Professor Wu Liqun from September 2016 to October 2022 were collected,and a database was established.SPSS Statistics 23 was used for frequency statistics,and Liquorice software was used for multi-scale backbone network analysis and multi-layer core network analysis to summarize the medication law.Results Totally 709 medical records were included,involving 834 prescriptions and 203 kinds of Chinese materia medica.The drug categories were mostly tonic drugs,heat-clearing drugs,and liver-pacifying and wind-relieving drugs.The properties of the drugs were mainly warming,cold,and mild,and the meridians were mostly in the lung,liver,and spleen meridians.Complex network analysis showed that the core prescription consisted of 20 kinds of Chinese materia medica,such as Angelicae Sinensis Radix,Paeoniae Radix Alba,Chuanxiong Rhizoma,Codonopsis Radix,and 30 groups of commonly used medicine pairs and commonly used medicines with different symptoms and commodities were obtained.Conclusion Professor Wu Liqun's treatment for tic disorders in children focuses on treating"liver wind",evacuating external wind to cut off the course of the disease,soothing the liver and subduing yang to extinguish internal wind,paying attention to regulating liver qi,nourishing yin and soothing the liver,nourishing blood and extinguishing wind.

Objective: To analyze the acute effects of exposure to fine particulate matter (PM2.5) components on primary school students lung function, so as to provide a scientific basis for protecting childrens respiratory health. Methods: From 2019 to 2021, the study selected a total of 2 120 primary school students from grades 3 to 5 in Tianjin using a stratified random sampling method to undergo lung function tests. At the same time, the shortterm exposure levels were simulated by combining PM2.5 components and student addresses, and the acute impact of PM2.5 exposure on primary school students lung function was analyzed by generalized linear models (GLM) and weighted quantile sum (WQS) regression models. Results: The average daily concentration of PM2.5 in the air of Tianjin from 2019 to 2021 was 81.14 μg/m3, which was higher than the national standard. The results of lung function testing showed that there was no statistically significant difference in lung function measurement indicators such as forced vital capacity (FVC), forced expiratory volume at 1 second (FEV1), peak expiratory flow (PEF), 75% forced expiratory volume in 75 (FEF75), and 25% forced expiratory volume in 25 (FEF25) among primary school students in different regions of Tianjin (F=1.23, 0.87, 2.34, 1.56, 0.98, P>0.05). But the GLM analysis results showed that all components of PM2.5 in the air had adverse effects on the lung function indicators of primary school students. When the concentrations of fluorene (FLU) and pyrene (PYR) increased by 10 ng/m3, the FVC of primary school students decreased by 166.44 and 61.94 L respectively. The WQS regression model analysis results showed that the mixed exposure of PM2.5 components particularly significant damaging effects on lung function indicators in primary school students, especially the FLU and PYR components in polycyclic aromatic hydrocarbons, as well as the heavy metal lead. Conclusions Both single and mixed exposure to various PM2.5 components in the air have adverse effects on the lung function of primary school students. Among them, the influences of FLU and PYR in polycyclic aromatic hydrocarbons, as well as heavy metal Pb, are particularly significant.Potential pollution sources should be controlled to protect the respiratory health of primary school students by comprehensive prevention and control measures.