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 development of bone in human body and the maintenance of bone mass in adulthood are regulated by a variety of biological factors. Myocyte enhancer factor 2C (MEF2C), as one of the many factors regulating bone tissue development and balance, has been shown to play a key role in bone development and metabolism. However, there is limited systematic analysis on the effects of MEF2C on bone tissue. This article reviews the role of MEF2C in bone development and metabolism. During bone development, MEF2C promotes the development of neural crest cells (NC) into craniofacial cartilage and directly promotes cartilage hypertrophy. In terms of bone metabolism, MEF2C exhibits a differentiated regulatory model across different types of osteocytes, demonstrating both promoting and other potential regulatory effects on bone formation, with its stimulating effect on osteoclasts being determined. In view of the complex roles of MEF2C in bone tissue, this paper also discusses its effects on some bone diseases, providing valuable insights for the physiological study of bone tissue and strategies for the prevention of bone diseases.
Humans ; MEF2 Transcription Factors/physiology* ; Bone and Bones/metabolism* ; Animals ; Bone Development/physiology* ; Osteogenesis/physiology* ; Myogenic Regulatory Factors/physiology*

The traditional Chinese medicine(TCM) industry is a crucial part of China's pharmaceutical sector and plays a strategic role in ensuring public health and promoting economic and social development. In response to the practical demand for high-quality development of the TCM industry, this paper focused on the bottlenecks encountered during the digital and intelligent transformation of TCM production systems. Specifically, it explored technical strategies and methodologies for constructing the best TCM production mode. An innovative artificial intelligence(AI)-centered technical architecture for TCM production was proposed, focusing on key aspects of production management including process modeling, state evaluation, and decision optimization. Furthermore, a series of critical technologies were developed to realize the best TCM production mode. Finally, a novel AI-driven TCM production mode characterized by a closed-loop system of "measurement-modeling-decision-execution" was presented through engineering case studies. This study is expected to provide a technological pathway for developing new quality productive forces within the TCM industry.
Artificial Intelligence ; Drugs, Chinese Herbal ; Medicine, Chinese Traditional/methods* ; Humans

OBJECTIVE: To investigate the expression levels of EZH2 and KMT2D in patients with diffuse large B-cell lymphoma (DLBCL) and their relationship with pathological features. METHODS: 84 patients with DLBCL treated in our hospital from January 2021 to June 2022 were selected as the study subjects, and clinical characteristics such as sex, age and pathological classification of the patients were collected. Immunohistochemistry was used to detecet the expression of KMT2D and EZH2 proteins in tumor tissue cells of the DLBCL patients. The differential expression of KMT2D and EZH2 in subgroups of different sexes, ages, primary sites, clinical stages, Hans subtypes, etc. were compared. The correlation between the expression of KMT2D and EZH2 protein and BCL-6, CD79A was analyzed and validated through the interaction of protein molecular structures. We followed up and recorded the survival status of the patients for 12 months, and analyzed the factors that affect the mortality of DLBCL patients. RESULTS: The positive rate of KMT2D and EZH2 was high (over 95%) in DLBCL patients. There was no significant difference in the expression of EZH2 and KMT2D among subgroups of different sexes, ages and stages (P >0.05). However, patients with different levels of BCL-6 and CD79A expression showed differences in EZH2 and KMT2D expression (P < 0.05). EZH2 and KMT2D were positively correlated with BCL-6 (r =0.391, r =0.332) and CD79A (r =0.309, r =0.258), respectively, and there were interactions in the protein molecular structures. The risk factors for mortality in DLBCL patients include male sex (OR =1.106, 95%CI : 1.082-1.130, P < 0.001), stage II (OR =1.778, 95%CI : 1.567-2.016, P < 0.001), stage IV (OR =2.233, 95%CI : 2.021-2.467, P < 0.001), EZH2 positive (OR =2.762, 95%CI : 1.304-5.850, P =0.008), BCL-6 positive (OR =7.309, 95%CI : 1.340-39.859, P =0.022), age≥74 years (OR =3.080, 95%CI : 1.658-5.723, P < 0.001), and 63-73 years old (OR =2.400, 95%CI : 1.564-3.682, P < 0.001), while KMT2D positive (OR =0.180, 95%CI : 0.054-0.608, P =0.006) and 41-51 years old (OR =0.406, 95%CI : 0.274-0.603, P < 0.001) were factors which could reduce the risk of mortality. CONCLUSION EZH2 and KMT2D are highly expressed in patients with DLBCL, and they are positively correlated with BCL-6 and CD79A, and affect the prognosis of DLBCL patients.
Humans ; Enhancer of Zeste Homolog 2 Protein/metabolism* ; Lymphoma, Large B-Cell, Diffuse/metabolism* ; DNA-Binding Proteins/metabolism* ; Female ; Male ; Middle Aged ; Adult ; Neoplasm Proteins/metabolism* ; Aged ; Immunohistochemistry ; Proto-Oncogene Proteins c-bcl-6/metabolism* ; Prognosis

Antibody-drug conjugates (ADCs) represent a promising class of targeted cancer therapeutics that combine the specificity of monoclonal antibodies with the potency of cytotoxic payloads. Despite their therapeutic potential, the use of ADCs faces significant challenges, including off/on-target toxicity and resistance development. This review examines the current landscape of ADC development, focusing on the critical aspects of target selection and antibody engineering. We discuss strategies to increase ADC efficacy and safety, including multitarget approaches, pH-dependent antibodies, and masked peptide technologies. The importance of comprehensive antigen expression profiling in both tumor and normal tissues is emphasized, highlighting the role of advanced technologies, such as single-cell sequencing and artificial intelligence, in optimizing target selection. Furthermore, we explore combination therapies and innovations in linker‒payload chemistry, which may provide approaches for expanding the therapeutic window of ADCs. These advances pave the way for the development of more precise and effective cancer treatments, potentially extending ADC applications beyond oncology.
Humans ; Immunoconjugates/adverse effects* ; Neoplasms/immunology* ; Animals ; Antibodies, Monoclonal/therapeutic use* ; Antineoplastic Agents/therapeutic use*

Cancer genomics has led to the discovery of numerous oncogenes and tumor suppressor genes that play critical roles in cancer development and progression.Oncogenes promote cell growth and proliferation,whereas tumor suppressor genes inhibit cell growth and division.The dysregulation of these genes can lead to the development of cancer.Recent studies have focused on non-coding RNAs(ncRNAs),including circular RNA(circRNA),long non-coding RNA(lncRNA),and microRNA(miRNA),as therapeutic targets for cancer.In this article,we discuss the oncogenes and tumor suppressor genes of ncRNAs associated with different types of cancer and their potential as therapeutic targets.Here,we highlight the mechanisms of action of these genes and their clinical applications in cancer treatment.Understanding the molecular mechanisms underlying cancer development and identifying specific therapeutic targets are essential steps towards the development of effective cancer treatments.

This paper investigates the effect of myricetin (MYR) on renal fibrosis induced by unilateral ureteral obstruction (UUO) and common bile duct ligation (CBDL) in mice and its mechanism. The animal experiment has been approved by the Ethics Committee of China Pharmaceutical University (NO: 2022-10-020). Thirty-five ICR mice were divided into control, UUO, UUO+MYR, CBDL and CBDL+MYR groups. H&E and Masson staining were used to detect pathological changes in kidney tissues. Western blot (WB) was used to detect the expression of fibrosis-related proteins in renal tissue, and total superoxide dismutase (SOD) activity detection kit (WST-8) was used to detect the changes of total SOD in renal tissue of CBDL mice. In vitro, HK-2 cells and transforming growth factor beta 1 (TGF-β1, 10 ng·mL^-1) were used to induce fibrotic model, and high glucose (30 mmol·L^-1) was used to induce oxidative stress model, and then treated with different concentrations of MYR, WB was used to detect the expression of fibrosis and oxidative stress-related proteins, while NIH/3T3 cells were treated with different concentrations of MYR, and their effects on cell proliferation were detected by 5-bromo-2′-deoxyuridine (Brdu). The results showed that the renal lesions in UUO group and CBDL group were severe, collagen deposition was obvious, the expression of collagen-Ⅰ (COL-Ⅰ), α-smooth muscle actin (α-SMA), fibronectin (FN), vimentin and plasminogen activator inhibitor-1 (PAI-1) protein was up-regulated, and the activity of SOD enzyme in CBDL group was significantly decreased. MYR partly reversed the above changes after treatment. MYR inhibited the proliferation of NIH/3T3 cells but had no effect on the proliferation of HK-2 cells, and decreased the upregulation of PAI-1, FN and vimentin in HK-2 cells stimulated by TGF-β1. MYR can also up-regulate the down-regulation of nuclear factor erythroid 2-related factor 2 (Nrf2) and heme oxygenase-1 (HO-1) in HK-2 cells stimulated by high glucose. To sum up, MYR can improve renal fibrosis in vivo and in vitro, probably by inhibiting the proliferation of fibroblasts and activating Nrf2/HO-1 signal pathway to inhibit oxidative stress.

Objective To evaluate the clinical efficacy of oral use of Jiawei Puji Xiaodu Granules(mainly composed of Lonicerae Japonicae Flos,Forsythiae Fructus,Taraxaci Herba,Violae Herba,Schizonepetae Herba,Arctii Fructus,Gleditsiae Spina,Paeoniae Radix Rubra,Moutan Cortex,and Phragmitis Rhizoma)combined with external application of Xiaozhong Sanjie Ointment(mainly composed of Scutellariae Radix,Coptidis Rhizoma,Phellodendri Chinensis Cortex,and Gleditsiae Spina,etc.)in the treatment of acute tonsillitis in children,and to observe their effects on the immune function and related inflammatory indexes of the patients.Methods A total of 116 children with acute tonsillitis of heat stagnation in the lung and stomach type were randomly divided into the control group and the observation group,with 58 cases in each group.The control group was treated with Cefixime Dispersible Tablets,while the observation group was treated with Jiawei Puji Xiaodu Granules for oral use and Xiaozhong Sanjie Ointment for external application.Both groups were treated for 14 days and then were followed-up for a period of 6 months.The changes of traditional Chinese medicine(TCM)syndrome scores,white blood cell(WBC)count,T lymphocyte subset CD3+,CD4+,CD8+ and CD4+/CD8+ levels,and serum levels of tumor necrosis factor α(TNF-α),interleukin 1β(IL-1β),interleukin 6(IL-6)and C-reactive protein(CRP)in the two groups were observed before and after the treatment.Moreover,the clinical efficacy and time for the disappearance of clinical symptoms were compared between the two groups,and the occurrence of adverse reactions and the recurrence of tonsillitis in the two groups were monitored at the same time.Results(1)During the trial,there were 8 cases falling off in the control group but none case falling off in the observation group,and eventually 50 cases in the control group and 58 cases in the observation group completed the full course of treatment.(2)After 14 days of treatment,the total effective rate of the observation group was 98.28%(57/58),while that of the control group was 90.00%(45/50).The intergroup(tested by rank sum test)showed that the clinical efficacy of the observation group was significantly superior to that of the control group(P＜0.05).(3)After treatment,the time for the disappearance of sore throat,time for the disappearance of purulent spots,time for subsiding fever and time for the tonsils recovering to normal in the observation group were all significantly shorter than those in the control group(P＜0.05).(4)After treatment,the scores of primary and secondary symptoms and the overall symptom scores in the two groups were significantly lower than those before treatment(P＜0.05),and the reduction of the scores in the observation group was significantly superior to that in the control group(P＜0.05).(5)After treatment,the levels of T lymphocyte subset CD3+,CD4+ and CD4+/CD8+ in the two groups were significantly higher(P＜0.05)while the level of CD8 + was significantly lower(P＜0.05)than those before treatment,and the increase in the levels of CD3+,CD4+ and CD4+/CD8+ and the reduction of the CD8+ level of the observation group were significantly superior to those of the control group(P＜0.05).(6)After treatment,the levels of WBC,TNF-α,IL-1β,IL-6 and CRP in the two groups were significantly lower than those before treatment(P＜0.05),and the reduction in the observation group was significantly superior to that in the control group(P＜0.05).(7)During the treatment period,no skin allergy,nausea,vomiting or other gastrointestinal adverse reactions occurred in the two groups,which showed a high degree of safety.(8)The 6-month follow-up showed that the recurrence rate of tonsillitis in the observation group was 5.17%(3/58),which was significantly lower than that of 24.00%(12/50)in the control group,and the difference was statistically significant(χ2 = 8.330,P＜0.05).Conclusion The efficacy of Jiawei Puji Xiaodu Granules combined with Xiaozhong Sanjie Ointment exert notable curative effect for children with acute tonsillitis of heat stagnation in the lung and stomach type.The combined therapy can significantly shorten the duration of the disease,improve the clinical symptoms of the children and effectively reduce the recurrence rate of tonsillitis.The therapeutic mechanism may be related to the enhancement of the immune function and the inhibition of inflammatory response.

Objective:To investigate the predictive value of pregnancy-associated plasma protein A(PAPP-A),fasting blood glucose(FPG),body mass index(BMI)and age in gestational diabetes mellitus(GDM)during the first trimester.Methods:A retrospective analysis was performed on 792 pregnant women who underwent pre-natal examination and delivered in Sichuan Provincial Maternal and Child Health Care Hospital from December 2021 to June 2022.They were divided into GDM group(232 cases)and control group(560 cases)according to whether they had GDM.The clinical data,serum PAPP-A median multiple(PAPP-A MoM)in early pregnancy and FPG levels were compared between the two groups.The indicators with statistical significance in univariate analy-sis were included in multivariate Logistic regression analysis to analyze the related factors affecting the occurrence of GDM.The receiver operating curve(ROC)and area under the curve(AUC)of different indexes were plotted to compare the efficacy of GDM prediction.Results:①The age,pre pregnancy BMI,early pregnancy FPG and the proportion of assisted reproductive technology in GDM group were higher than those in control group,and the differences were statistically significant(P＜0.05).The early pregnancy PAPP-A MoM level in GDM group was lower than that in control group,and the difference was statistically significant(P＜0.05).②Multivariate Logistic regression analysis showed that older age,lager pre-pregnancy BMI and lager FPG in the first trimester were in-dependent risk factors for GDM occurrence(OR＞1,P＜0.05),while an increase of PAPP-A MoM in the first tri-mester was a protective factor(OR＜1,P＜0.05).③ROC showed that the combination of PAPP-A MoM in early pregnancy,FPG in early pregnancy,BMI in pre-pregnancy and age had the highest AUC(0.752)when predicting GDM,with a sensitivity of 55.6％and a specificity of 84.3％.Conclusions:The combined screening of serologi-cal(PAPP-A +FPG)and clinical data(pre-pregnancy BMI +age)in early pregnancy has a high clinical application prospect and can be popularized.

Objective To develop and validate a risk prediction model based on early platelet-related parameters for bronchopulmonary dysplasia(BPD)in neonates admitted to the neonatal intensive care unit(NICU),and to facilitate early identification and intervention in high-risk populations.Methods Clinical data of 291 preterm infants with a gestational age(GA)≤32 weeks or a birth weight(BW)＜1 500 g,admitted to the NICU,were retrospectively analyzed.Out of these,214 cases were selected as the modeling group.This group was further categorized into the BPD group(n=76)and the non-BPD group(n=138),based on whether they required oxygen therapy at 28 days post-birth.Perinatal data,platelet-related parameters and other indicators between the two groups.Univariate and multivariate Logistic regression analyses were conducted to identify BPD risk factors,followed by the construction of a nomogram.An additional cohort of 105 preterm infants with GA≤32 weeks or BW＜1 500 g,were used to validate the model.This cohort was divided into the BPD group(n=43)and the non-BPD(n=62)group.Receiver operating characteristic(ROC)curve and calibration curve were used to internally verify the efficiency of the prediction model.Results The Logistic regression analysis identified GA,BW,Apgar score at 5 minutes≤7,invasive ventilation,platelet count(PLT)and mean platelet volume(MPV)as significant factors in the model(P＜0.05).The constructed nomogram was formulated using R language,and the areas under the ROC curve(AUC)for the three models were 0.908,0.931 and 0.918,respectively(P＜0.05).The verification group was verified by Bootstrap.The calibration curve showed a good fit.The internal validation AUC values of the three models were 0.877,0.890 and 0.886,respectively.Conclusion GA,BW,invasive ventilation,Apgar score at 5 minutes≤7,MPV and PLT are key risk factors for BPD onset.The risk prediction model based on these indicators can effectively predict BPD,providing clinicians with a valuable tool for early detection and intervention in the development of BPD.