Androgenetic alopecia is a common clinical disease. The pathogenesis of this disease is not clear, while TCM has achieved sound therapeutic effects on this disease by syndromes differentiation. By studying theory, the pathogenesis, clinical treatment and laboratory research of TCM treating the androgenetic alopecia in the past 10 years, we tried to provide reference for the treatment of androgenetic alopecia in Chinese medicine.

Objective To develop a method of determining benzene hydrocarbon and halogenated alkane hydrocarbon in the air of workplaces with the capillary gas chromatography of carbon disulphide desorption. Methods Benzene hydrocarbon and halogenated alkane hydrocarbon in the air of workplace were collected by active carbon sampling cuvette, then separated by hydrogen flames detector gas chromatography machine after carbon disulphide desorption. Benzene hydrocarbon and halogenated alkane hydrocarbon were determined quantitively by retention time and quantitatively by apex area. Results The linear ranges of benzene, toluene, p-xylene, m-xylene, o-xylene, ethyl benzene, styenl, chlorobenzene, acetone, carbontetrachloride, dichloromethanl, trichloromethane, 1, 2-dichloroethane, naphth alene were 0.019-81.600, 0.018-91.200, 0.018-88.800, 0.018-56.8, 0.011-92.000, 0.012-63.200, 0.018-93.200, 0.449-2298.400, 0.252-1287.000 and 0.076-390.000 mg/m3 respectively. The recovery rates were 88.4%-98.6% and RSD were 1.0%-6.0%. Conclusion This method can separate efficiently and determine accurately benzene hydrocarbon and halogenated alkane hydrocarbon in the air with a good precision. It is suitable for the determination of the toxicants in the air.

Objective To establish a method to determine halogenated alkane hydrocarbon in drinking water with headspace gas chromatography. Methods Halogenated alkane hydrocarbon in the water were extracted by headspace technology, then analyzed with DB-5 capillary column, in the same time, they were determined with GC by controlling the temperature and the speed of nitrogen. The retention time of the peaks was used for qualitative analysis, while external standard method was used for quantitative analysis. Results The linear ranges for dichloromethane, trichloromethane, 1, 1, 1-trichloroethane, 1, 2-dichloroethane, carbon tetrachloride, trichloroethylene, bromodichloromomethane, 1, 1, 2-trichloroethane, dibromochloromethane, tetrachloroethylene, tribromomethane were 0.8-4 024.0, 0.007-33.5, 0.004-19.2, 1.4-6 821.0, 0.002-10.0, 0.005-25.6, 0.002-12.1, 0.1-717.8, 0.005-23.5, 0.002-8.1 and 0.02-87.7 ?g/L. The lowest determination limit were 0.01- 4.1 ?g/L, the rate of recovery were 89.7%-110.0% and RSDs were 2.8%-9.0%. Conclusion This method can efficiently separate and accurately determine 11 kinds of halogenated alkane hydrocarbon in drinking water. It is simple, rapid and sensitive.

Objective To establish a method for simultaneous determination of kelthane and pyrethroid pesticide residues in water.Methods Kelthane and pyrethroid pesticide residues in the water were extracted by liquid-liquid,then analyzed with DB-1 capillary column.In the same time,they were determined with GC by controlling the temperature.Retention time of the peaks was used for qualitative analysis,while external standard method was used for quantitative analysis.Results The linear ranges of Kelthane,Bifenthrin,Fenpropanate,Lambda cyhalothrin,Permethrin,Beta cyfluthrin,Alphacypermethrin,Fenvalerate were 0.24-31.1,0.21-27.2,0.20-26.0,0.21-26.5,0.20-25.7,0.21-26.4,0.22-29.0 and 0.22-27.4 ?g/L,r≥0.999 0.The lowest determination limits were 0.20,0.33,0.30,0.13,0.36,0.26,0.33 and 0.30 ?g/L,the rate of recovery was 86.0%-111.7% and RSD was 3.8%-11.8%.Conclusion This method can separate efficiently and determine 8 kinds of pyrethroid pesticide residues in the water and only needs 23 minutes.It's simple,rapid and sensitive.

Fibrosis, which is a manifestation of the physiological response to injury characterized by excessive accumulation of extracellular matrix components, is a ubiquitous outcome of the repair process. However, in cases of repetitive or severe injury, fibrosis may become dysregulated, leading to a pathological state and organ failure. In recent years, a novel form of regulated cell death, referred to as ferroptosis, has been identified as a possible contributor to fibrosis; it is characterized by iron-mediated lipid peroxidation. It has garnered attention due to the growing body of evidence linking ferroptosis and fibrogenesis, which is believed to be driven by underlying inflammation and immune responses. Despite the increasing interest in the relationship between ferroptosis and fibrosis, a comprehensive understanding of the precise role that ferroptosis plays in the formation of fibrotic tissue remains limited. This review seeks to synthesize previous research related to the topic. We categorized the different direct and indirect mechanisms by which ferroptosis may contribute to fibrosis into three categories: (1) iron overload toxicity; (2) ferroptosis-evoked necroinflammation, with a focus on ferroptosis and macrophage interplay; and (3) ferroptosis-associated pro-fibrotic factors and pathways. Furthermore, the review considers the potential implications of these findings and highlights the utilization of ferroptosis-targeted therapies as a promising strategy for mitigating the progression of fibrosis. In conclusion, novel anti-fibrotic treatments targeting ferroptosis could be an effective treatment for fibrosis.

Objective Improving the limb management strategy for patients undergoing coronary intervention through radial artery puncture and observe the application effect,and to provide scientific basis for the prevention of limb complications.Methods From March 2023 to February 2024,patients who underwent coronary intervention in the Cardiovascular Department of a Tertiary A hospital in Wenzhou City were selected.They were randomly di-vided into an experimental group of 241 cases and a control group of 236 cases using a random number table method.After surgery,they were all treated with a rotary hemostatic device for compression hemostasis.The experi-mental group implement improvement strategies for surgical limb management,specifically underwent a reverse Bar-beau test upon returning to the ward after surgery to achieve non-occlusive compression,followed by decompression every hour.The compression intensity of the control group was guided by palpating the distal radial artery pulsa-tion,and the first decompression was performed 1 hour after surgery,followed by decompression at intervals of every 2 hours.The main evaluation indicators are the incidence of surgical limb complications and simplified Chinese version of General Comfort Questionnaire(GCQ)scores in 2 groups of patients,while the secondary evaluation indi-cators are the duration of compression and the number of decompression times in both groups.Results The inci-dence of postoperative complications in the experimental group was 14.11%,which was statistically significant com-pared to 44.49%in the control group(χ2=53.308,P<0.001).The GCQ score of the experimental group was(77.71±5.43)points,which was higher than(74.66±5.83)points in the control group,and the difference was statistically signif-icant(t=-3.354,P=0.001).The compression duration of(172±52)minutes and decompression frequency of 2(2,3)in the experimental group were lower than(289±60)minutes and 4(3,4)in the control group,and the differences were statistically significant(P<0.001).Conclusion The non-occlusive compression method of the radial artery based on the reverse Barbeau test can significantly reduce limb complications in patients undergoing coronary inter-vention,shorten the duration of hemostatic compression,reduce the number of depressions,and improve patient com-fort.It provides objective basis for nursing staff to evaluate the intensity of hemostatic compression and the timing of decompression.

Objective:To construct a diagnostic prediction nomogram for antibody-mediated rejection (AMR) after kidney transplantation (KT) based upon peripheral blood gene expression profiling and preliminarily screening potential drugs for AMR.Methods:Seven large kidney transplant cohort datasets related to AMR were retrieved from the database of GEO. Differential expression analysis was utilized for identifying differentially expressed genes between AMR and normal recipients. Multiple machine learning algorithms of random forest (RF), extreme gradient boosting (XGB), support vector machine (SVM) and generalized linear model (GLM) were employed for constructing diagnostic models for AMR after kidney transplantation. Receiver operating characteristic (ROC) curve was plotted for comparing the accuracy of each model. The key genes of optimal model were integrated for creating a diagnostic prediction nomogram for AMR. Calibration curve and decision curve analyses were employed for evaluating the accuracy of nomogram. The differentially expressed genes from biopsy tissues of AMR recipients were uploaded to the database of CMap for identifying potential therapeutic drugs through screening Top 5 compounds with opposite expression patterns to AMR.Results:Seven genes of CXCL10, FCGR1B, GBP5, CD69, LY96, BCL2A1 and EVI2A were over-expressed in both peripheral blood and biopsy tissues of AMR recipients. There were statistically significant differences with recipients without AMR (FDR<0.05). The AMR diagnostic model based upon RF algorithm demonstrated the highest AUC value (0.904) among various machine learning algorithms. Its AUC values were 0.876 and 0.824 in external datasets of GSE50084 and GSE175718. As for the diagnostic prediction nomogram constructed through integrating five key genes of BCL2A1, CXCL10, FCGR1BP, CD69 & EVI2A from RF model, calibration curve indicated that the predicted outcomes of nomogram approximated actual outcomes. Decision curve indicated that net benefit rate of nomogram was higher than that of extreme curves over a wide range of horizontal axis. The predicted results of CMap suggested that Top 5 compounds were raltegravir, rilmenidine, hydrastine, metyrapone and valproic acid.Conclusions:The nomogram constructed based upon peripheral blood gene expression profiling demonstrates high accuracy and generalizability in the diagnosis of AMR. As predicted by CMap, raltegravir, rilmenidine, hydrastine, metyrapone and valproic acid may be potential therapeutic drugs for AMR.

Objective:To construct A novel scoring model of immune signatures for colon cancer based on machine learning,which improve the survival prediction and immune therapy.Methods:Screening immune signatures from 1 301 immune-related genes(IRG)by the combined strategy of Lasso+bootstrap+multi Cox to calculate IRG scores of colon cancer patients from TCGA databases,and comprehensive the differences on function,prognostic status and immune therapy between high IRG scores group and IRG scores group.Results:Groups based on IRG scores were significantly different on the prognostic status of colon cancer patients,which were validated by other independent datasets.The IRG scores also could assess the effect of immune therapy of colon cancer.Conclusion:This study provides ideas for immune therapy and researches of colon cancer based on immune genes,and IRG scores can be used to assess the prognosis of colon cancer patients.