Traditional Chinese Medicine (TCM), as a treasure of the Chinese nation, plays a significant role in maintaining public health. In 2019, the Central Committee of the Communist Party of China and the State Council proposed for the first time the establishment of a TCM registration and evaluation evidence system that integrates TCM theory, "personal experience" and clinical trials (referred to as the "Three-in-One" System) to promote the inheritance and innovation of TCM. Subsequently, the National Medical Products Administration issued several guiding principles to advance the improvement and implementation of this system. Owing to the complexity of its implementation, there are still differing understandings within the TCM industry regarding the positioning of the "Three-in-One" Registration and Evaluation Evidence System, as well as the connotation and value orientation of the "personal experience." To address this, Academician WANG Qi, President of the TCM Association, China International Exchange and Promotion Association for Medical and Healthcare and TCM master, led a group of academicians, TCM masters, TCM pharmacology experts and clinical TCM experts to convene a "Seminar on Promoting the Implementation of the ′Three-in-One′ Registration and Evaluation Evidence System for Chinese Medicinals." Through extensive discussions, an expert consensus was formed, clarifying the different roles of the TCM theory, "personal experience" and clinical trials within the system. It was further emphasized that the "personal experience" is the core of this system, and its data should be derived from clinical practice scenarios. In the future, the improvement of this system will require collaborative efforts across multiple fields to promote the high-quality development of the Chinese medicinal industry.

This study explored the potential therapeutic targets and mechanisms of Danggui Shaoyao San(DSS) in the prevention and treatment of Alzheimer's disease(AD) through transcriptomics and metabolomics, combined with animal experiments. Fifty male C57BL/6J mice, aged seven weeks, were randomly divided into the following five groups: control, model, positive drug, low-dose DSS, and high-dose DSS groups. After the intervention, the Morris water maze was used to assess learning and memory abilities of mice, and Nissl staining and hematoxylin-eosin(HE) staining were performed to observe pathological changes in the hippocampal tissue. Transcriptomics and metabolomics were employed to sequence brain tissue and identify differential metabolites, analyzing key genes and metabolites related to disease progression. Reverse transcription-quantitative polymerase chain reaction(RT-qPCR) was employed to validate the expression of key genes. The Morris water maze results indicated that DSS significantly improved learning and cognitive function in scopolamine(SCOP)-induced model mice, with the high-dose DSS group showing the best results. Pathological staining showed that DSS effectively reduced hippocampal neuronal damage, increased Nissl body numbers, and reduced nuclear pyknosis and neuronal loss. Transcriptomics identified seven key genes, including neurexin 1(Nrxn1) and sodium voltage-gated channel α subunit 1(Scn1a), and metabolomics revealed 113 differential metabolites, all of which were closely associated with synaptic function, oxidative stress, and metabolic regulation. RT-qPCR experiments confirmed that the expression of these seven key genes was consistent with the transcriptomics results. This study suggests that DSS significantly improves learning and memory in SCOP model mice and alleviates hippocampal neuronal pathological damage. The mechanisms likely involve the modulation of synaptic function, reduction of oxidative stress, and metabolic balance, with these seven key genes serving as important targets for DSS in the treatment of AD.
Animals ; Alzheimer Disease/genetics* ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Mice, Inbred C57BL ; Metabolomics ; Transcriptome/drug effects* ; Maze Learning/drug effects* ; Hippocampus/metabolism* ; Humans ; Disease Models, Animal ; Memory/drug effects*

OBJECTIVE: To analyze the positive rate and distribution of anti-M unexpected antibody in pediatric inpatients aged 0 to 14 years in central China. METHODS: A total of 30 049 pediatric inpatients admitted to the Second Xiangya Hospital of Central South University, Wuhan Children's Hospital and Children's Hospital Affiliated of Zhengzhou University from May 2020 to August 2022 were enrolled in this study, and relevant clinical data were collected. Blood samples from the patients were tested for blood typing and screened for unexpected antibodies. For samples that screened positive for unexpected antibodies, identification was conducted using the identification panel to determine the specificity of the antibodies. The distribution and differences of anti-M antibodies in pediatric patients of different sexes, ages, blood groups, disease types, with or without a history of blood transfusion, and across different regions were analyzed. RESULTS: Among 30 049 inpatients, the positive rate of unexpected antibodies was 0.91% (273/30 049), of which the positive rate of anti-M antibodies was 0.44% (131/30 049). The positive rate of anti-M antibodies in the neonates aged 0 to < 1 month was 0.10% (5/4 881), and all of them were IgG antibodies from their mothers; The positive rate of anti-M antibodies for the group aged from 1 month to < 1 year old was 0.23% (7/3 108), with no anti-M antibodies detected in patients aged 1-6 months; The positive rates of anti-M antibodies in the 1-4 years old group, 5-9 years old group, and 10-14 years old group were 0.87% (88/10 064), 0.38% (27/7 190), and 0.08% (4/4 806), respectively. The positive rate of anti-M antibodies in the 1-4 years old group was significantly higher than that of the other groups ( P <0.001), and there were also statistical differences in the positive rate between the 5-9 years old group and the 0-< 1 month and 10-14 years old groups ( P <0.001). The prevalences of anti-M antibodies in ABO blood group A, B, O and AB were 0.32% (30/9 482), 0.70% (58/8 293), 0.32% (31/9 595) and 0.45% (12/2 679), respectively. The prevalence of anti-M antibodies in patients with blood group B was significantly higher than that in patients with blood groups A and O ( P <0.05). The prevalences of anti-M antibodies in Hunan, Hubei and Henan was 0.18%, 0.32% and 0.71%, respectively. The prevalence of anti-M antibodies in Henan was significantly higher than that in Hunan and Hubei ( P <0.05), and the distribution showed obvious regional differences between the north and the south. There were no significant differences in the positive rate of anti-M antibodies between the children with different sexes, disease types, and with or without a history of blood transfusion (P >0.05). CONCLUSION This study reveals the distribution pattern of anti-M antibodies in pediatric inpatients aged 0-14 years in central China, which has reference value for the research on unexpected red blood cell antibodies in Chinese children.
Humans ; Child ; China ; Infant ; Child, Preschool ; Adolescent ; Female ; Male ; Inpatients ; Infant, Newborn ; Blood Grouping and Crossmatching ; Antibodies/blood*

Objective To investigate the diagnostic value of our regression model based on quantitative parameters of dual-energy CT and clinical features for stages T2 and T3 colorectal cancer.Methods A cross-section study was performed on 91 patients with colorectal cancer confirmed by postoperative pathology in our hospital from January 2022 to November 2023.All of them underwent dual-energy CT examination.According to the pathological T staging criteria of Chinese Colorectal Cancer Diagnosis and Treatment Standard(2020 Edition),they were divided into T2 group(n=43)and T3 group(n=48).Univariate analysis was used to compare the differences in quantitative CT parameters and clinical features between the 2 groups,and the obtained significant variables were employed to construct diagnosis models by univariate or multivariate logistic regression analysis.The area under receiver operating characteristic curve(AUC)of the CT parametric model and the model combined with clinical features was compared to evaluate the efficacy of diagnosing T2 and T3 stages.Results Univariate analysis showed that carcinoembryonic antigen(CEA),N stage,tumor location,tumor longest diameter(LD),CT value of virtual noncontrast(CT-VNC),fat fraction,electron density(Rho)and dual energy index(DEI)were significantly different between the T2 and T3 groups(P＜0.05).Multivariate logistic regression analysis found that N stage,tumor location,LD,fat fraction and DEI were independent risk factors for the diagnosis of stage T3.The AUC value of the model of above CT parameters in diagnosing stage T3 colorectal cancer was 0.671(95％CI:0.558～0.783),and the AUC value of the combined model of above CT parameters and clinical features was 0.886(95％CI:0.815～0.957),and statistical difference was observed in the AUC value between the combined model and the CT parametric model(P＜0.01).Conclusion The regression model constructed with dual-energy CT quantitative parameters combined with clinical features has high value in the preoperative diagnosis of stages T2 and T3 colorectal cancer before surgery.

Objective To propose a high-precision deep learning-based image assessment method of osteosarcoma chemotherapy efficacy for clinical treatment,as existing methos have low accuracy of osteosarcoma assessment.Methods The low incidence of osteosarcoma led to the small scale of its imaging data and the problem of imbalance in data categories.This study combined deep learning with clinical medical information,combined the bone sarcoma generation module of BoneGAN and the scale lesion information capture module,and proposed OMLA-Net,a deep learning assessment network for chemotherapy effect of bone sarcoma based on multi-scale lesion attention network,which achieved computer-aided bone tumor assessment with integrated data augmentation and focused lesion information through pre-training and generalized loss training.Results In this study,40 cases of osteosarcoma MRI data were used as the basis for the comparison test on the generated dataset,and the OMLA-Net assessment outperformed the SOTA method Conv-LSTM-GAN in terms of the assessment effects such as accuracy and F1 scores,and the difference was statistically significant(Bootstrap statistical method P＜0.05);the subsequent K-fold cross-validation ablation experiments further demonstrated the effectiveness of each module proposed by OMLA-Net.Conclusion OMLA-Net can effectively perform the impact assessment of chemotherapy effect on osteosarcoma,which provides a new idea for subsequent clinical application.

Objective To explore the mechanism of Wenyang Shengji Ointment(温阳生肌膏,WYSJO)in the treatment of diabetic wounds from the perspective of network pharmacology,and to veri-fy it by animal experiments. Methods The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)and related literature were used to screen active compounds in WYSJO and their corresponding targets.GeneCards,Online Mendelian Inheritance in Man(OMIM),DrugBank,PharmGkb,and Therapeutic Target Database(TTD)databases were employed to identify the targets associated with diabetic wounds.Cytoscape 3.9.0 was used to map the ac-tive ingredients in WYSJO,which was the diabetic wound target network.Search Tool for the Retrieval of Interaction Gene/Proteins(STRING)platform was utilized to construct protein-protein interaction(PPI)network.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)enrichment analyses were performed to identify signaling pathways be-tween WYSJO and diabetic wounds.AutoDock 1.5.6 was used for molecular docking of core components in WYSJO to their targets.Eighteen rats were randomly divided into control,model,and WYSJO groups(n=6).The model and WYSJO groups were used to prepare the model of refractory wounds in diabetes rats.The wound healing was observed on day 0,5,9,and 14 after treatment,and the wound tissue morphology was observed by hematoxylin-eosin(HE)staining.The expression levels of core genes were detected by quantitative real-time polymerase chain reaction(qPCR). Results A total of 76 active compounds in WYSJO,206 WYSJO drug targets,3 797 diabetic wound targets,and 167 diabetic wound associated WYSJO targets were screened out through network pharmacology.With the use of WYSJO-diabetic wound target network,core targets of seven active compounds encompassing quercetin,daidzein,kaempferol,rhamnetin,rham-nocitrin,strictosamide,and diisobutyl phthalate(DIBP)in WYSJO were found.GO enrich-ment analysis showed that the treatment of diabetes wounds with WYSJO may involve lipopolysaccharide,bacteria-derived molecules,metal ions,foreign stimuli,chemical stress,nutrient level,hypoxia,and oxidative stress in the biological processes.KEGG enrichment analysis showed that the treatment of diabetes wounds with WYSJO may involve advanced glycation end products(AGE-RAGE),p53,interleukin(IL)-17,tumor necrosis factor(TNF),hypoxia inducible factor-1(HIF-1),apoptosis,lipid,atherosclerosis,etc.The results of animal experiments showed that WYSJO could significantly accelerate the healing process of diabetic wounds(P<0.05),alleviate inflammatory response,promote the growth of granulation tis-sues,and down-regulate the expression levels of eight core genes[histone crotonyltrans-ferase p300(EP300),protoc gene-oncogene c-Jun(JUN),myelocytomatosis(MYC),hypoxia inducible factor 1A(HIF1A),mitogen-activated protein kinase 14(MAPK14),specificity pro-tein 1(SP1),tumor protein p53(TP53),and estrogen receptor 1(ESR1)]predicted by the net-work pharmacology(P<0.05). Conclusion The mechanism of WYSJO in treating diabetes wounds may be closely related to AGE-RAGE,p53,HIF-1,and other pathways.This study can provide new ideas for the phar-macological research of WYSJO,and provide a basis for its further transformation and appli-cation.

Objective To explore the effects of prucalopride(PRUC)on the intestinal function during the perioperative period of robot-assisted laparoscopic radical cystectomy(RARC)and urinary diversion.Methods A total of 75 patients undertaking RARC with urinary diversion(orthotopic neobladder or ileal bladder)in Nanjing Drum Hospital during Jan.and Dec.2021 were divided into PRUC group(n=28)and control group(n=47)according to whether they took PRUC or not.Postoperative intestinal ventilation time and defecation time,drainage tube retention time,tolerance time for first intake of semi-flow food,postoperative hospital stay,and incidence of complications were observed and recorded in the two groups.Postoperative C-reactive protein(CRP)and neutrophil/lymphocyte ratio(NLR)were compared.Results The PRUC group had shorter intestinal ventilation time and defecation time[(47.14±16.31)h vs.(74.04±35.33)h,P＜0.01;(86.14±30.47)h vs.(123.57±79.12)h,P=0.02],smaller change of ΔCRP and ΔNLR[(79.99±29.71)mg/L vs.(127.75±56.98)mg/L;(9.24±6.43)vs.(16.11±9.90),P＜0.01].All complications were minor,the incidence of intestinal obstruction in PRUC group tended to decrease within 90 days after operation(P=0.38),and there was no significant difference in other complications between the two groups(P＞0.05).Conclusion The perioperative use of PRUC in RARC with urinary diversion is safe and effective,which can promote the recovery of intestinal function after operation.

Humans ; Vascular Stiffness ; Coal Mining ; Occupational Diseases/epidemiology* ; Risk Factors ; Coal ; Miners