OBJECTIVE To understand the development status and existing problems of traditional Chinese medicine（TCM） pharmacists in public TCM hospitals in China， aiming to provide suggestions for the competent departments to formulate management policies for TCM pharmacists and promote the healthy development of TCM. METHODS The data on the number and professional titles of TCM pharmacists in public TCM hospitals in China from 2019 to 2023 were collected. Descriptive analysis was employed to analyze the number， distribution and professional titles of TCM pharmacists in public TCM hospitals across the country， and to measure the quantity shortfalls of the number of TCM pharmacists in these hospitals. RESULTS From 2019 to 2023， the number of TCM pharmacists in public TCM hospitals in China grew slowly， with an average annual growth rate of 2.56%. However， the proportion of TCM pharmacists to the total number of pharmacists in public TCM hospitals gradually decreased， with an average annual growth rate of －0.65%. In terms of hospital grades， the number of TCM pharmacists in tertiary public TCM hospitals showed positive growth， while those in secondary and primary public TCM hospitals showed negative growth. In terms of hospital types， the average annual growth rate of TCM pharmacists in TCM hospitals was 2.22%， in integrated Chinese and Western medicine hospitals it was 7.97%， and in ethnic minority medicine hospitals it was 2.74%. The development of TCM pharmacists in different provinces was uneven. The annual growth rate of TCM pharmacists in Guizhou exceeded 10%， while the growth rate in Hunan and Heilongjiang was negative. In 2023， the number of TCM pharmacists per thousand population in public TCM hospitals was 0.03， indicating a relatively low staffing level. The professional titles of TCM pharmacists in public TCM hospitals were mainly primary and E-mail：601907549@qq.com intermediate， with a total of 67.33%. According to the calculation that the proportion of TCM pharmacists to pharmacists was not less than 60%， public TCM hospitals and hospitals of integrated TCM and Western medicine should be reconfigured with TCM pharmacists 6 212 and 1 288 people， respectively. CONCLUSIONS The number of TCM pharmacists in public TCM hospitals is growing slowly， with insufficient staffing levels， relatively low professional titles， and uneven distribution and development across provinces. It is suggested that relevant competent departments strengthen policy guidance， increase the attention given by the state level to TCM pharmacists， strengthen the construction of the talent team for TCM pharmacists， improve the quality and optimize the allocation of TCM pharmacist talents in order to promote the high-quality development of TCM services.

The inheritance, innovation, and development of traditional Chinese medicine(TCM) need to be based on Chinese medicinal materials. The TCM seed industry is the source of TCM production, which is related to the stable supply and quality safety of TCM. This paper summarizes the basic situation of the TCM seed industry and introduces relevant policies and regulations to TCM seeds in the seed industry and the TCM field. At present, the Management Measures of TCM Seeds and Seedlings has not yet promulgated, and TCM seeds are classified as non-major crops in the category of crops for management. This paper also describes the current situation of TCM seed and seedling system construction, which is in the development stage, from six aspects, including the construction of TCM seed industry technical support system; the establishment of TCM seed standard; the construction of germplasm resource preservation system; TCM seed testing, variety registration, and variety protection; production and management of TCM seeds; TCM seed supervision. According to the development status of the TCM seed industry, four problems are put forward, including imperfect systems and standards relevant to TCM seeds, insufficient supervision and law enforcement regarding TCM seeds, insufficient policy measures and capital investment to promote the development of the industry, and the industry's falling into a low-level cycle.Accordingly, four suggestions are provided, including improving laws, regulations, and policies, perfecting standards and norms,strengthening supervision and law enforcement, and promoting support system construction, in order to boost the high-quality development of the TCM seed industry.
Seeds/chemistry* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/standards* ; Plants, Medicinal/chemistry*

The study investigated the intrinsic changes in material basis of Angelicae Sinensis Radix during wine processing by headspace-gas chromatography-ion mobility spectrometry(HS-GC-IMS), headspace-solid phase microextraction-gas chromatography-mass spectrometry(HS-SPME-GC-MS), and ultra-high performance liquid chromatography-quadrupole-orbitrap mass spectrometry(UPLC-Q-Orbitrap-MS) combined with chemometrics. HS-GC-IMS fingerprints of Angelicae Sinensis Radix before and after wine processing were established to analyze the variation trends of volatile components and characterize volatile small-molecule substances before and after processing. Principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) were employed for differentiation and difference analysis. A total of 89 volatile components in Angelicae Sinensis Radix were identified by HS-GC-IMS, including 14 unsaturated hydrocarbons, 16 aldehydes, 13 ketones, 9 alcohols, 16 esters, 6 organic acids, and 15 other compounds. HS-SPME-GC-MS detected 118 volatile components, comprising 42 unsaturated hydrocarbons, 11 aromatic compounds, 30 alcohols, 8 alkanes, 6 organic acids, 4 ketones, 7 aldehydes, 5 esters, and 5 other volatile compounds. UPLC-Q-Orbitrap-MS identified 76 non-volatile compounds. PCA revealed distinct clusters of raw and wine-processed Angelicae Sinensis Radix samples across the three detection methods. Both PCA and OPLS-DA effectively discriminated between the two groups, and 145 compounds(VIP>1) were identified as critical markers for evaluating processing quality, including 4-methyl-3-penten-2-one, ethyl 2-methylpentanoate, and 2,4-dimethyl-1,3-dioxolane detected by HS-GC-IMS, angelic acid, β-pinene, and germacrene B detected by HS-SPME-GC-MS, and L-tryptophan, licoricone, and angenomalin detected by UPLC-Q-Orbitrap-MS. In conclusion, the integration of the three detection methods with chemometrics elucidates the differences in the chemical material basis between raw and wine-processed Angelicae Sinensis Radix, providing a scientific foundation for understanding the processing mechanisms and clinical applications of wine-processed Angelicae Sinensis Radix.
Wine/analysis* ; Gas Chromatography-Mass Spectrometry/methods* ; Chromatography, High Pressure Liquid/methods* ; Angelica sinensis/chemistry* ; Solid Phase Microextraction/methods* ; Drugs, Chinese Herbal/isolation & purification* ; Chemometrics ; Volatile Organic Compounds/chemistry* ; Principal Component Analysis ; Ion Mobility Spectrometry/methods*

This study aimed to introduce a modified Byars staged procedure and investigate its application value in patients with severe hypospadias. We retrospectively analyzed the clinical data of patients with severe hypospadias admitted to the First Affiliated Hospital of Sun Yat-sen University (Guangzhou, China) between October 2012 and October 2022. In total, 31 patients underwent the conventional Byars procedure (conventional group), and 45 patients underwent the modified Byars staged procedure (modified group). Our modified strategy was built upon the standard Byars procedure by incorporating glansplasty during the first stage and employing a Y-shaped flap in conjunction with a glandular tunnel for urethroplasty during the second stage. Notably, there were no statistically significant differences in the preoperative baseline characteristics, duration of surgery, amount of blood loss, or occurrence of postoperative complications, including urethral fistula, stricture and diverticulum, or penile curvature, between the conventional and modified groups. However, there was a significantly lower incidence of coronal sulcus fistula (0 vs 16.1%, P = 0.02) and glans dehiscence (0 vs 12.9%, P = 0.02) in the surgical group than that in the conventional group. In addition, the modified group exhibited a notably greater rate of normotopic urethral opening (100.0% vs 83.9%, P = 0.01) and a higher mean score on the Hypospadias Objective Penile Evaluation (HOPE; mean ± standard error of mean: 8.6 ± 0.2 vs 7.9 ± 0.3, P = 0.02) than did the conventional group. In conclusion, the modified Byars staged procedure significantly reduced the risks of glans dehiscence and coronal sulcus fistula. Consequently, it offers a promising approach for achieving favorable penile esthetics, thereby providing a reliable therapeutic option for severe hypospadias.
Humans ; Hypospadias/surgery* ; Male ; Retrospective Studies ; Urologic Surgical Procedures, Male/methods* ; Child, Preschool ; Child ; Postoperative Complications/etiology* ; Urethra/surgery* ; Plastic Surgery Procedures/methods* ; Surgical Flaps ; Penis/surgery* ; Treatment Outcome ; Infant

OBJECTIVE: To evaluate the efficacy and safety of Shexiang Tongxin Dropping Pill (STDP) in treating stable angina patients with phlegm-heat and blood-stasis syndrome by exercise duration and metabolic equivalents. METHODS: This multicenter, randomized, double-blind, placebo-controlled clinical trial enrolled stable angina patients with phlegm-heat and blood-stasis syndrome from 22 hospitals. They were randomized 1:1 to STDP (35 mg/pill, 6 pills per day) or placebo for 56 days. The primary outcome was the exercise duration and metabolic equivalents (METs) assessed by the standard Bruce exercise treadmill test after 56 days of treatment. The secondary outcomes included the total angina symptom score, Chinese medicine (CM) symptom scores, Seattle Angina Questionnaire (SAQ) scores, changes in ST-T on electrocardiogram and adverse events (AEs). RESULTS: This trial enrolled 309 patients, including 155 and 154 in the STDP and placebo groups, respectively. STDP significantly prolonged exercise duration with an increase of 51.0 s, compared to a decrease of 12.0 s with placebo (change rate: -11.1% vs. 3.2%, P<0.01). The increase in METs was significantly greater in the STDP group than in the placebo group (change: -0.4 vs. 0.0, change rate: -5.0% vs. 0.0%, P<0.01). The improvement of total angina symptom scores (25.0% vs. 0.0%), CM symptom scores (38.7% vs. 11.8%), reduction of nitroglycerin consumption (100.0% vs. 11.3%), and all domains of SAQ, were significantly greater with STDP than placebo (all P<0.01). The changes in Q-T intervals at 28 and 56 days from baseline were similar between the two groups (both P>0.05). Twenty-five participants (16.3%) with STDP and 16 (10.5%) with placebo experienced AEs (P=0.131), with no serious AEs observed. CONCLUSION STDP could improve exercise tolerance in patients with stable angina and phlegm-heat and blood stasis syndrome, with a favorable safety profile. (Registration No. ChiCTR-IPR-15006020).
Humans ; Double-Blind Method ; Drugs, Chinese Herbal/adverse effects* ; Male ; Female ; Middle Aged ; Angina, Stable/physiopathology* ; Aged ; Syndrome ; Treatment Outcome ; Placebos ; Tablets

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Neutrophil extracellular traps (NETs), intricate reticular structures released by activated neutrophils, play a pivotal regulatory role in the pathogenesis of malignant tumors. Lung cancer is one of the most prevalent malignancies globally, with persistently high incidence and mortality rates. Recent studies have revealed that NETs dynamically modulate the tumor microenvironment through unique pathological mechanisms, exhibiting complex immunoregulatory characteristics during the progression of lung cancer, and this discovery has increasingly become a focal point in tumor immunology research. This paper provides a comprehensive review of the latest advancements in NETs research related to lung cancer, offering an in-depth analysis of their impact on lung cancer progression, their potential diagnostic value, and the current state of research on targeting NETs for lung cancer prevention and treatment. The aim is to propose novel strategies to enhance therapeutic outcomes and improve the prognosis for lung cancer patients.
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Extracellular Traps/immunology* ; Humans ; Lung Neoplasms/metabolism* ; Neutrophils/metabolism* ; Animals ; Tumor Microenvironment

Objective To investigate the correlation between gene polymorphisms of coagulation factor Ⅻ(FⅫ)rs1801020 and resistin rs1862513 and unexplained recurrent spontaneous abortion(URSA).Methods A total of 189 patients diagnosed with URSA and 191 healthy postpartum women during the same period were selected from the obstetric clinic of Changning Maternity and Infant Health Hospital from January 2020 to December 2022.The probe PCR was used to detect gene polymorphisms of rs1801020 and rs1862513 in peripheral blood,and the differences in genotype distribution between the groups were observed.Results The frequencies of geno-types and alleles for F Ⅻ rs1801020 in the URSA-A group were 4.9％(CC),35.7％(CT),59.5％(TT),22.7％(C),and 77.3％(T),respectively.In the control A group,the frequencies were 8.0％(CC),47.1％(CT),44.9％(TT),31.5％(C)and 68.5％(T).The frequencies of genotypes and alleles for resistin rs1862513 in the URSA-B group were 11.3％(CC),47.3％(CG),41.4％(GG),34.9％(C)and 65.1％(G).In the control B group,the frequencies were 10.2％(CC),34.1％(CG),55.7％(GG),27.3％(C)and 72.7％(G).There was no significant difference in genotype frequency of the two loci(P＞0.05),but there was a sig-nificant difference in allele frequency(P＜0.05).The distribution frequency of F Ⅻ rs1801020 T allele in the URSA group was higher than that in the control group(X2=6.32,OR=1.567,95％CI:1.100-2.238,P=0.012).The distribution frequency of resistin rs1862513 G allele in URSA group was lower than that in con-trol group(X2=4.96,OR=1.433,95％CI:1.050-1.969,P=0.026).The mutation of F Ⅻ rs1801020 C to T was a risk factor for the occurrence of URSA,while the mutation of rs1862513 C to G was a protective factor for the occurrence of URSA(P＜0.05).The combined genotype analysis showed that compared to the popu-lation carrying the rs1801020 CC+rs1862513 CC genotype combination,the population carrying the rs1801020 TT+rs1862513 CG genotype had a significantly higher risk of URSA(OR=5.684,95％CI:1.210-30.920,P=0.035).Conclusion FⅫ rs1801020 T allele may increase the risk of URSA and resistin rs1862513 G al-lele may the risk of URSA.People with rs1801020 TT+rs1862513 CG genotype combination is more likely to develop URSA than those with rs1801020 CC+rs1862513 CC genotype combination.

Objective:To investigate the diagnostic value of serum ferritin in intestinal failure-associated liver disease. Methods:Clinical data of adult patients with short bowel syndrome admitted to the Department of General Surgery of Jinling Hospital affiliated to Nanjing University from January 2019 to December 2022 were retrospectively analyzed to determine the correlation between serum ferritin and liver enzyme profiles by linear regression,to screen the potential risk factors of liver injury by multifactorial Logistic regression analysis,and to establish a prediction model for liver fibrosis. The area under the curve was also calculated to assess the accuracy of the model. Results:A total of 106 patients with short bowel syndrome were included,of whom 55 (51.9％) had elevated serum ferritin (SF). Linear regression analysis showed a positive correlation between serum ferritin and ALT (r=0.427,P<0.001),ALP (r=0.365,P<0.001),and γ-GT (r=0.423,P<0.001),and one-way Logistic regression analysis showed that the higher the level of serum ferritin,the more pronounced the difference was (SF>ULN) The one-way logistic regression analysis showed that the higher the serum ferritin level,the more significant the difference was[SF>ULN (upper limit of normal value of serum ferritin),P=0.033;SF>1.5×ULN,P=0.018;SF>2.5×ULN,P=0.006]. Multifactorial logistic regression analysis showed that PN dependence (OR=3.366,P=0.017) and serum ferritin>2.5 ULN (OR=3.292,P=0.014)were independent risk factors for intestinal failure-associated liver disease-liver fibrosis,and the receiver operating curve (ROC) of the subjects showed area under the curve of 74.8％,95％ CI:0.652～0.844. Conclusion:Serum ferritin can be used as a reliable clinical biomarker to help identify intestinal failure-associated liver disease.

Objective To explore the effects of drug therapy combined with multi-dimensional psychological intervention on the insomnia of shift medical staff in"sunshine hospital"mode,and to provide a reference for improving the physical and mental health of shift medical staff.Methods A total of 140 cases of medical staff with insomnia in shifts in Wuhan were included and divided into study group and control group by random number table method,70 cases in each group.The control group was given drug treatment,and the study group was treated combined with multi-dimensional psychological intervention.based on"sunshine hospital"model.The scale and questionnaire of PSQI,ISI,ESS and FAS were used to evaluate sleep status and HAMD,HAMA,PHQ-9 and SAS were used to evaluate psychological status,at baseline,visit 1(baseline+intervention for 1 month)and visit 2(baseline+intervention for 3 months),respectively.Results(1)Sleep status:There were differences in 7 dimensions of PSQI score,ISI,ESS,and FAS score between the study group and the control group at different periods(P<0.05);Among them,the PSQI scores of the two groups showed significant difference between the two groups at interview 2(P<0.05);There were significant differences in sleep quality,sleep efficiency scores,ESS and FAS between the two groups at visit 1 and visit 2(P<0.05).(2)Psychological status:HAMD,HAMA,PHQ-9 and SAS scores of the study group and the control group were different in different periods(P<0.05).At interview 2,there were significant differences in HAMA and SAS scores between the two groups(P<0.05).Conclusion Based on the"sunshine hospital"model of drug therapy combined with multi-dimensional psychological intervention,it can significantly improve sleepiness,fatigue symptoms,sleep quality,sleep efficiency,and anxiety and depression of first-line shift medical staff in the short term,and significantly alleviate overall insomnia and anxiety in the long term.