In this paper， by consulting the ancient and modern literature， the name， origin， quality evaluation， harvesting and processing， and others of the original animal and medicinal materials of Moschus were systematically sorted out and verified， in order to provide the basis for the development and utilization of the famous classical formulas containing Moschus. According to the textual research， musk deer was first recorded in Shanhaijing. Shennong Bencaojing was recorded as Moschus and all generations were used as the correct name， but there were also aliases such as Shefu， Xiangzhang and Xiangqizi. In ancient times， Moschus berezovskii， M. sifanicus and M. moschiferus were the main sources of Moschus， and the quality of Moschus produced in northwest China was better than that produced in the Yangtze River basin. In modern times， Moschus of M. moschiferus produced in northeast China， M. sifanicus produced in Gansu， Sichuan and other places， and M. berezovskii produced in Ningxia， Shaanxi and other places are regarded as genuine. In ancient times， gunshots， lassoes， arrow shots and other methods were generally used to hunt live musk deer， and the sachets were immediately cut off. Those with high quality were called Xiangshanhuo， and dried in the shade after harvesting， which was known as Maoke Shexiang. Cut open the sachet， remove the shell and dry preservation， commonly known as Moschus kernel. In modern times， the method of taking Moschus from the living body of cultured musk deer is adopted， that is， Moschus kernel is directly taken from its sachet， dried in the shade or dried in a closed dryer. This method realizes the sustainable utilization of Chinese herbal medicine resources， but attention should be paid to the frequency and quality of Moschus. The harvesting time is mostly after the autumnal equinox every year， and before the next summer， it is better to gather sachet in winter. In recent times， it is believed that the shell Moschus is dry， full， thin， elastic， loose inside， many particles， strong and persistent aroma for the best， while the Moschus kernel is particle purple-black， powder yellow-brown， soft and oily texture， strong and persistent aroma for the best. The ancient processing method of Moschus was extracting kernels from the shell. After removing impurities， it is ground and used as medicine. Because its composition is not suitable for heating， the processing method is most common in preparations such as grinding into powder and putting into pills or powders， which has the effect of opening up the orifices and refreshing the mind， and it has continued to this day. Based on the research conclusions， it is suggested that the development of famous classical formulas containing Moschus， M. sifanicus， M. moschiferus and M. berezovskii should be used as the origins. According to the processing requirements specified in the original formula， it should be processed and used as medicine， while those without processing requirements should be used as raw products.

Objective To evaluate the quality of Xi xiong(Gansu Chuanxiong)based on the combination of intelligent sensory technology,HPLC and HS-SPME-GC-MS.Methods The chromaticity values of 10 batches of Gansu Chuanxiong Rhizoma samples were measured using a colorimeter and clustering analysis was performed;an electronic nose was used to measure the odor of Gansu Chuanxiong Rhizoma,and Loadings and PCA were conducted;According to the method under the Chuanxiaong Rhizoma section of the Chinese Pharmacopoeia,the moisture,ash content and extract were determined;HPLC was used to determine the contents of ferulic acid,chlorogenic acid and ligustrazine;the volatile components were analyzed by HS-SPME-GC-MS;the quality of Gansu Chuanxiong Rhizoma was evaluated by analyzing the correlation between chromaticity value,odor and active components.Results The total color value of Gansu Chuanxiong Rhizoma ranged from 31.210 1±1.193 7 to 43.976 3±0.721 4,at the Euclidean distance of 10,and the 10 batches of Gansu Chuanxiong Rhizoma could be clustered into four categories;Loadings and PCA showed that the higher contribution of sensors W2S,W5S,W2W,W1W and W1S to Gansu Chuanxiong Rhizoma samples,the variance contribution of the first and second principal components was 62.6%and 22.4%,respectively;water,ash and extract in 10 batches of Gansu Chuanxiong Rhizoma all met the standards of Chinese Pharmacopoeia;the HPLC determination results indicated that the content of ferulic acid in Gansu Chuanxiong Rhizoma was greater than 0.192 6%,ligustrazine content was between 0.001 2%and 0.006 1%,chlorogenic acid content was greater than 0.016 4%;HS-SPME-GC-MS results indicated 52 volatile components were identified in Gansu Chuanxiong Rhizoma samples,the olefin compounds were rich in species,phenyphthalide compounds had the highest relative content;the correlation analysis showed that the color values ΔL*,Δb* and ΔE showed a high degree of correlation with ferulic acid and ligusticum tecidate A.Conclusion This study clarifies the intrinsic quality of Gansu Chuanxiong Rhizoma and provides a theoretical basis for research on Gansu Chuanxiong Rhizoma.

Objective:To investigate the dynamic changes of cytokine levels in patients with sepsis and to identify potential biomarkers for evaluating the prognosis of the disease.Methods:A total of 195 patients with sepsis hospitalized at the Department of Infectious Diseases and the Department of Critical Care Medicine of the First Affiliated Hospital of Soochow University from August 2022 to October 2024 were recruited, and 70 healthy individuals undergoing physical examinations were recruited as the healthy control group. The levels of 11 cytokines, including interferon γ (IFN-γ), interleukin (IL)-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12P70, IL-17A, tumor necrosis factor α (TNF-α) and C-reactive protein (CRP) were compared between the sepsis patients and the healthy controls. Spearman correlation analysis was used to assess the correlation between cytokine levels and sequential organ failure assessment (SOFA) scores in sepsis patients. Receiver operating characteristic curves were plotted and the area under the curve (AUC) was calculated to evaluate the diagnostic value of cytokines for sepsis. Delong test was used to compare AUC. Based on the 28-day survival outcomes, the sepsis patients were categorized into non-survival group and survival group. The levels of the 11 cytokines in patients on the 1st, 3rd, 7th, 14th, 21st and 28th days after confirmed sepsis were dynamically monitored, and their change characteristics were analyzed. Mann-Whitney U test was used for statistical comparison. Results:The age of the 195 patients with sepsis was 68.0 (55.0, 76.0) years old, including 124 males (63.6%), 64 died and 131 survived.The levels of IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12P70, IL-17A, TNF-α, CRP in the sepsis group were all higher than those in the healthy control group ( Z=-2.99, -5.42, -4.95, -4.09, -5.05, -11.30, -8.66, -8.23, -5.64, -4.75, -2.12 and -10.75, respectively, all P<0.05). The differences were statistical significance. The levels of IL-2 ( r=0.149, P=0.037), IL-6 ( r=0.223, P=0.002), IL-8 ( r=0.159, P=0.026), and IL-10 ( r=0.188, P=0.009) in patients with sepsis were positively correlated with SOFA scores. The AUC of CRP in diagnosing sepsis was 0.989 with the sensitivity of 97.4% and the specificity of 100.0%. The AUC of IL-6 in diagnosing sepsis was 0.953, with the sensitivity of 93.3% and the specificity of 97.1%, and the AUC of IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-8, IL-10, IL-12P70, IL-17A, and TNF-α were 0.620, 0.718, 0.699, 0.665, 0.703, 0.850, 0.836, 0.727, 0.691, and 0.574, respectively.The AUC of the 11 cytokines were all lower than that of CRP, and the differences were all statistically significant ( Z=2.34, 10.24, 8.03, 8.08, 10.64, 8.70, 5.91, 5.17, 8.91, 9.25 and 4.10, respectively, all P<0.05).During the dynamic monitoring, the IFN-γ and IL-1β levels in the non-survival group increased gradually. The IFN-γ levels on the 14th and 21st day in the non-survival group were higher than those in the survival group ( Z=0.53 and 0.08, respectively, both P<0.05), and IL-1β levels on the 14th, 21st, and 28th days were also higher than those in the survival group ( Z=0.03, 0.26 and 0.31, respectively, all P<0.05). IL-6 and IL-8 levels reached their peaks on the 14th day, which were significantly higher than those in the survival group ( Z=0.01 and 0.02, respectively, both P<0.05), and then decreased, and the differences were all statistically significant. Conclusions:The levels of IFN-γ and IL-1β in the non-survival sepsis patients show a gradually increasing trend. The dynamic changes of IL-6 have certain significance for the prediction of disease severity and prognosis evaluation in sepsis.

Cancer is a serious global health problem and a major cause of human death. Conventional cancer treatments often run the risk of impairing vital organ functions. Anticancer peptides (ACPs) are considered to be one of the most promising therapeutic agents against common human cancers due to their small sizes, high specificity, and low toxicity. Since ACP recognition is highly limited to the laboratory, expensive, and time-consuming, we proposed pLM4ACP, a model for predicting ACPs based on machine learning and protein language models. In this model, the protein language model ProtT5 was used to extract the features of ACPs, and the extracted features were input into the support vector machine (SVM) classification algorithm for optimization and performance evaluation. The model showcased significantly higher accuracy than other methods, with the overall accuracy of 0.763, F1-score of 0.767, Matthews correlation coefficient of 0.527, and area under the curve of 0.827 on the independent test set. This study constructs an efficient anticancer peptide prediction model based on protein language models, further advancing the application of artificial intelligence in the biomedical field and promoting the development of precision medicine and computational biology.
Machine Learning ; Antineoplastic Agents/chemistry* ; Humans ; Peptides/chemistry* ; Support Vector Machine ; Algorithms ; Computational Biology/methods* ; Neoplasms/drug therapy*

Factitious Disorder is a chronic and difficult-to-diagnose artificial illness characterized by the in-dividual's recurrent simulation of symptoms,deliberate self-harm to produce signs or symptoms,and a high likeli-hood of misdiagnosis and mistreatment in clinical settings.This article introduces a case of a 10-year-old girl with factitious disorder who was misdiagnosed as Henoch-Schonlein purpura in 4 medical institutions,which was the first simulated case of Henoch-Schonlein purpura in China.Based on the literature analysis of factitious disorder,the au-thor combed and analyzed the literature in order to improve clinicians'awareness of the disease and reduce misdiag-nosis and mistreatment.

Factitious Disorder is a chronic and difficult-to-diagnose artificial illness characterized by the in-dividual's recurrent simulation of symptoms,deliberate self-harm to produce signs or symptoms,and a high likeli-hood of misdiagnosis and mistreatment in clinical settings.This article introduces a case of a 10-year-old girl with factitious disorder who was misdiagnosed as Henoch-Schonlein purpura in 4 medical institutions,which was the first simulated case of Henoch-Schonlein purpura in China.Based on the literature analysis of factitious disorder,the au-thor combed and analyzed the literature in order to improve clinicians'awareness of the disease and reduce misdiag-nosis and mistreatment.

Objective To evaluate the quality of Xi xiong(Gansu Chuanxiong)based on the combination of intelligent sensory technology,HPLC and HS-SPME-GC-MS.Methods The chromaticity values of 10 batches of Gansu Chuanxiong Rhizoma samples were measured using a colorimeter and clustering analysis was performed;an electronic nose was used to measure the odor of Gansu Chuanxiong Rhizoma,and Loadings and PCA were conducted;According to the method under the Chuanxiaong Rhizoma section of the Chinese Pharmacopoeia,the moisture,ash content and extract were determined;HPLC was used to determine the contents of ferulic acid,chlorogenic acid and ligustrazine;the volatile components were analyzed by HS-SPME-GC-MS;the quality of Gansu Chuanxiong Rhizoma was evaluated by analyzing the correlation between chromaticity value,odor and active components.Results The total color value of Gansu Chuanxiong Rhizoma ranged from 31.210 1±1.193 7 to 43.976 3±0.721 4,at the Euclidean distance of 10,and the 10 batches of Gansu Chuanxiong Rhizoma could be clustered into four categories;Loadings and PCA showed that the higher contribution of sensors W2S,W5S,W2W,W1W and W1S to Gansu Chuanxiong Rhizoma samples,the variance contribution of the first and second principal components was 62.6%and 22.4%,respectively;water,ash and extract in 10 batches of Gansu Chuanxiong Rhizoma all met the standards of Chinese Pharmacopoeia;the HPLC determination results indicated that the content of ferulic acid in Gansu Chuanxiong Rhizoma was greater than 0.192 6%,ligustrazine content was between 0.001 2%and 0.006 1%,chlorogenic acid content was greater than 0.016 4%;HS-SPME-GC-MS results indicated 52 volatile components were identified in Gansu Chuanxiong Rhizoma samples,the olefin compounds were rich in species,phenyphthalide compounds had the highest relative content;the correlation analysis showed that the color values ΔL*,Δb* and ΔE showed a high degree of correlation with ferulic acid and ligusticum tecidate A.Conclusion This study clarifies the intrinsic quality of Gansu Chuanxiong Rhizoma and provides a theoretical basis for research on Gansu Chuanxiong Rhizoma.

Objective:To investigate the dynamic changes of cytokine levels in patients with sepsis and to identify potential biomarkers for evaluating the prognosis of the disease.Methods:A total of 195 patients with sepsis hospitalized at the Department of Infectious Diseases and the Department of Critical Care Medicine of the First Affiliated Hospital of Soochow University from August 2022 to October 2024 were recruited, and 70 healthy individuals undergoing physical examinations were recruited as the healthy control group. The levels of 11 cytokines, including interferon γ (IFN-γ), interleukin (IL)-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12P70, IL-17A, tumor necrosis factor α (TNF-α) and C-reactive protein (CRP) were compared between the sepsis patients and the healthy controls. Spearman correlation analysis was used to assess the correlation between cytokine levels and sequential organ failure assessment (SOFA) scores in sepsis patients. Receiver operating characteristic curves were plotted and the area under the curve (AUC) was calculated to evaluate the diagnostic value of cytokines for sepsis. Delong test was used to compare AUC. Based on the 28-day survival outcomes, the sepsis patients were categorized into non-survival group and survival group. The levels of the 11 cytokines in patients on the 1st, 3rd, 7th, 14th, 21st and 28th days after confirmed sepsis were dynamically monitored, and their change characteristics were analyzed. Mann-Whitney U test was used for statistical comparison. Results:The age of the 195 patients with sepsis was 68.0 (55.0, 76.0) years old, including 124 males (63.6%), 64 died and 131 survived.The levels of IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12P70, IL-17A, TNF-α, CRP in the sepsis group were all higher than those in the healthy control group ( Z=-2.99, -5.42, -4.95, -4.09, -5.05, -11.30, -8.66, -8.23, -5.64, -4.75, -2.12 and -10.75, respectively, all P<0.05). The differences were statistical significance. The levels of IL-2 ( r=0.149, P=0.037), IL-6 ( r=0.223, P=0.002), IL-8 ( r=0.159, P=0.026), and IL-10 ( r=0.188, P=0.009) in patients with sepsis were positively correlated with SOFA scores. The AUC of CRP in diagnosing sepsis was 0.989 with the sensitivity of 97.4% and the specificity of 100.0%. The AUC of IL-6 in diagnosing sepsis was 0.953, with the sensitivity of 93.3% and the specificity of 97.1%, and the AUC of IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-8, IL-10, IL-12P70, IL-17A, and TNF-α were 0.620, 0.718, 0.699, 0.665, 0.703, 0.850, 0.836, 0.727, 0.691, and 0.574, respectively.The AUC of the 11 cytokines were all lower than that of CRP, and the differences were all statistically significant ( Z=2.34, 10.24, 8.03, 8.08, 10.64, 8.70, 5.91, 5.17, 8.91, 9.25 and 4.10, respectively, all P<0.05).During the dynamic monitoring, the IFN-γ and IL-1β levels in the non-survival group increased gradually. The IFN-γ levels on the 14th and 21st day in the non-survival group were higher than those in the survival group ( Z=0.53 and 0.08, respectively, both P<0.05), and IL-1β levels on the 14th, 21st, and 28th days were also higher than those in the survival group ( Z=0.03, 0.26 and 0.31, respectively, all P<0.05). IL-6 and IL-8 levels reached their peaks on the 14th day, which were significantly higher than those in the survival group ( Z=0.01 and 0.02, respectively, both P<0.05), and then decreased, and the differences were all statistically significant. Conclusions:The levels of IFN-γ and IL-1β in the non-survival sepsis patients show a gradually increasing trend. The dynamic changes of IL-6 have certain significance for the prediction of disease severity and prognosis evaluation in sepsis.

Objective To establish the rapid identification method of Hedysari Radix wild and cultivated products by integrating the identification characteristics of TCM traits obtained by intelligent senses such as electronic nose and colorimeter based on the multivariate statistical analysis method;To provide new ideas and methods for the formulation of commodity specification standards and the application research of market quality control for Hedysari Radix.Methods Totally 29 batches of samples of Hedysari Radix were detected based on colorimeter and electronic nose technology to obtain their sensory information,and the effective components of Hedysari Radix were determined by high performance liquid chromatography(HPLC)and other methods for joint analysis.After establishing the optimal experimental conditions of Hedysari Radix electronic nose,multivariate statistical analysis methods,such as principal component analysis(PCA),orthogonal partial least squares-discriminant analysis(OPLS-DA)and clustering analysis,were used to establish the identification model of Hedysari Radix wild and cultivated commodities.Results The optimum test conditions of Hedysari Radix electronic nose(particle size of 65 mesh):the sample weight was 2.0 g,the optimum temperature of the sample was 50℃,and the time was 25 min.A single intelligent sensory result could not quickly and accurately identify the two,but the fusion information could quickly identify the wild and cultivated commodities of Hedysari Radix,and the chemical composition had a certain correlation with the color and taste.Conclusion Electronic nose and colorimeter can quickly and accurately distinguish wild and cultivated Hedysari Radix after multivariate statistical analysis,which is simple and feasible.The combined analysis of its related properties and active components can be used for the quality evaluation of Hedysari Radix.

A 48-year-old female patient was treated with hydroxychloroquine sulfate and methotrexate for rheumatoid arthritis.After two weeks,tender erythema and papules appeared on the trunk and limbs,accompanied by fever.Skin biopsy was suggestive of neutrophilic infiltration in the superficial mesodermal layer of the dermis.After hydroxychloroquine sulfate withdrawal and 18 days of methylprednisolone sodium succinate and halometasone cream treatment,she improved and was diagnosed with acute febrile neutrophilic dermatosis.By correlation analysis,the causal relationship between acute febrile neutrophilic dermatosis and hydroxychloroquine sulfate was evaluated as"most likely",which had not been reported in China.The pathogenesis of hydroxychloroquine sulfate-induced acute febrile neutrophilic dermatosis may be related to elevated granulocyte-colony stimulating factor levels,abnormal cytokine regulation,and genetic susceptibility.Discontinuation of the suspected drug and application of glucocorticoids are currently the most effective treatment.