ObjectiveTo observe the clinical efficacy of Shentong Zhuyutang combined with Dilongtang in the treatment of lumbar disc herniation （LDH） with Qi stagnation and blood stasis syndrome， and its effect on nucleus pulposus reabsorption and immune-inflammatory factors， exploring its therapeutic mechanism from the perspective of reabsorption. MethodsA total of 120 patients with LDH from the Fourth Clinical Medical College of Guangzhou University of Chinese Medicine， treated between June 2020 and January 2023， were randomly divided into the control group （52 cases， with 8 dropouts） and the observation group （49 cases， with 11 dropouts） according to a random number table. The control group received routine treatment， while the observation group was treated with Shentong Zhuyutang combined with Dilongtang in addition to routine treatment. Visual Analogue Scale （VAS）， Oswestry Disability Index （ODI）， Japanese Orthopaedic Association （JOA） score， and traditional Chinese medicine （TCM） syndrome score were measured before treatment and after 3 courses of treatment. Venous blood samples were collected for the determination of serological indexes. MR examination was performed during the 6-month follow-up to calculate the absorption rate. ResultsAfter treatment， both groups showed significant reductions in VAS， ODI， TCM syndrome score， serum tumor necrosis factor （TNF）-α， matrix metalloproteinase （MMP）-9， and vascular endothelial growth factor （VEGF） levels， and a significant increase in JOA score compared with pre-treatment values （P<0.05）. Compared with the control group， the observation group showed significantly lower VAS， ODI， TCM syndrome score， serum TNF-α， MMP-9， and VEGF levels， and a significantly higher JOA score （P<0.05）. The proportion of nucleus pulposus reabsorption in the observation group was 57.14% （28/49）， significantly higher than 21.15% （11/52） in the control group （χ²=6.161， P<0.05）. ConclusionShentong Zhuyutang combined with Dilongtang can effectively relieve pain， improve lumbar function， and alleviate TCM clinical symptoms in LDH patients with Qi stagnation and blood stasis syndrome. Imaging findings suggest that the treatment promotes the reabsorption of nucleus pulposus protrusion， while laboratory testing shows reduced serum levels of TNF-α， MMP-9， and VEGF， which contribute to the rehabilitation of patients.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Objective: To investigate the awareness of knowledge about hepatitis C prevention and control among outpatients in Ningbo City, Zhejiang Province, and its influencing factors, so as to provide the evidence for strengthening health education on hepatitis C prevention and control. Methods: Based on sentinel surveillance of hepatitis C, the outpatients aged 15 to 65 years at seven hospitals in Yinzhou District, Cixi City and Xiangshan County of Ningbo City were selected using the convenient sampling method from April to June during 2020 and 2022. Demographic information, knowledge and behaviors related to hepatitis C prevention and control were collected through questionnaire surveys. The influencing factors for knowledge about hepatitis C prevention and control were analyzed using a multivariable logistic regression model. Results: A total of 2 792 participants were surveyed, including 1 157 males (41.44%) and 1 635 females (58.56%). The awareness rate of knowledge about hepatitis C prevention and control was 56.23%, and was lower in knowledge about hepatitis C vaccine and treatment. The awareness rates of knowledge about hepatitis C prevention and control among outpatients from 2020 to 2022 were 47.11%, 53.22% and 70.65%, respectively, showing an upward trend (P<0.05). Multivariable logistic regression analysis showed that participants aged 25 to <50 years (OR=1.358, 95%CI: 1.073-1.719), with an educational level of high school or junior college (OR=1.431, 95%CI: 1.134-1.806) or above junior college (OR=3.728, 95%CI: 2.958-4.699), with household monthly income per capita of 3 000 to <5 000 yuan (OR=1.828, 95%CI: 1.344-2.486) or ≥5 000 yuan (OR=1.858, 95%CI: 1.366-2.526), without a history of invasive treatments such as pedicure in public places (OR=1.287, 95%CI: 1.024-1.618), without a history of contact with family members' blood-contaminated items (OR=2.050, 95%CI: 1.552-2.707), and always using condoms during sexual contacts (OR=1.740, 95%CI: 1.273-2.378) had higher awareness of knowledge about hepatitis C prevention and control. Conclusions The awareness of knowledge about hepatitis C vaccine and treatment among outpatients in Ningbo City needs to be improved. Age, educational level, household monthly income per capita, history of invasive treatments such as pedicure in public places, history of contact with family members' blood-contaminated items and frequency of condom use during sexual contacts are associated with outpatients' awareness of knowledge about hepatitis C prevention and control.

OBJECTIVE To investigate the effect of neferine （NEF） on mitophagy in Parkinson’s disease （PD） cells by regulating the adenosine monophosphate-activated protein kinase （AMPK）/mammalian target of rapamycin （mTOR）/UNC-51-like kinase 1 （ULK1） signaling pathway， and explore the mechanism of this drug to improve PD. METHODS SH-SY5Y cells were treated with 100 μmol/L 1-methyl-4-phenylpyridinium ion （MPP+） for 24 h to construct a PD cell model. PD model cells were divided into model group （PD group）， NEF low-， medium- and high-concentration groups （NEF-L， NEF-M， NEF-H group， 2.5， 5.0， 10.0 μmol/L）， and high concentration of NEF+AMPK inhibitor group （NEF-H+Compound C group， 10.0 μmol/L NEF+50 μmol/L Compound C）. The cells treated without MPP+ and NEF were used as the control group. The ultrastructure of the cells in each group was observed； the amount of autophagosomes， survival rate， apoptosis rate， mitochondrial membrane potential， and the protein expressions of Caspase-3， microtubule-associated protein 1 light chain 3 （LC3） and Beclin-1， as well as the phosphorylation levels of mTOR， AMPK and ULK1 were detected. RESULTS Compared with PD group， the amount of autophagosomes in NEF-L， NEF-M and NEF-H groups was increased， and membrane potential was increased； survival rate， LC3- Ⅱ/LC3-Ⅰ， protein expression of Beclin-1， and protein phosphorylation levels of AMPK and ULK1 were significantly increased or up-regulated； the apoptotic rate， protein expressions of Caspase-3 and p62， and protein phosphorylation level of mTOR were significantly decreased or down-regulated， and the above improvements were in a dose-dependent manner （P＜0.05）. Compound C could significantly reverse the above improvement effect of high concentration of NEF （P＜0.05）. CONCLUSIONS NEF can promote mitophagy and inhibit apoptosis of PD model cells by up-regulating protein phosphorylation levels of AMPK and ULK1， and down-regulating protein phosphorylation level of mTOR， thus playing a protective role in nerve cells.

OBJECTIVE To investigate the effect of neferine （NEF） on mitophagy in Parkinson’s disease （PD） cells by regulating the adenosine monophosphate-activated protein kinase （AMPK）/mammalian target of rapamycin （mTOR）/UNC-51-like kinase 1 （ULK1） signaling pathway， and explore the mechanism of this drug to improve PD. METHODS SH-SY5Y cells were treated with 100 μmol/L 1-methyl-4-phenylpyridinium ion （MPP+） for 24 h to construct a PD cell model. PD model cells were divided into model group （PD group）， NEF low-， medium- and high-concentration groups （NEF-L， NEF-M， NEF-H group， 2.5， 5.0， 10.0 μmol/L）， and high concentration of NEF+AMPK inhibitor group （NEF-H+Compound C group， 10.0 μmol/L NEF+50 μmol/L Compound C）. The cells treated without MPP+ and NEF were used as the control group. The ultrastructure of the cells in each group was observed； the amount of autophagosomes， survival rate， apoptosis rate， mitochondrial membrane potential， and the protein expressions of Caspase-3， microtubule-associated protein 1 light chain 3 （LC3） and Beclin-1， as well as the phosphorylation levels of mTOR， AMPK and ULK1 were detected. RESULTS Compared with PD group， the amount of autophagosomes in NEF-L， NEF-M and NEF-H groups was increased， and membrane potential was increased； survival rate， LC3- Ⅱ/LC3-Ⅰ， protein expression of Beclin-1， and protein phosphorylation levels of AMPK and ULK1 were significantly increased or up-regulated； the apoptotic rate， protein expressions of Caspase-3 and p62， and protein phosphorylation level of mTOR were significantly decreased or down-regulated， and the above improvements were in a dose-dependent manner （P＜0.05）. Compound C could significantly reverse the above improvement effect of high concentration of NEF （P＜0.05）. CONCLUSIONS NEF can promote mitophagy and inhibit apoptosis of PD model cells by up-regulating protein phosphorylation levels of AMPK and ULK1， and down-regulating protein phosphorylation level of mTOR， thus playing a protective role in nerve cells.

BACKGROUND:Previous studies have found that neohesperidin can delay bone loss in ovariectomized mice and has the potential to treat osteoporosis,but its specific mechanism of action remains to be explored. OBJECTIVE:To explore the key targets and possible mechanisms of neohesperidin in the treatment of osteoporosis based on bioinformatics and cell experiments in vitro. METHODS:The gene expression dataset related to osteoporosis was obtained from GEO database,and the differentially expressed genes were screened and analyzed in R language.The osteoporosis-related targets were screened from GeneCards and DisGeNET databases,and the neohesperidin-related targets were screened from ChEMBL and PubChem databases,and the common targets were obtained by intersection of the three.The String database was used to construct the PPI network of intersection genes,and the key targets were screened.The DAVID database was used for GO and KEGG enrichment analysis.The AutoDock software was used to verify the molecular docking between the neohesperidin and the target protein.The effect of neohesperidin on osteogenic differentiation of C57 mouse bone marrow mesenchymal stem cells was detected.Complete medium was used as blank control group;osteogenic induction medium was used as the control group;and osteogenic induction medium containing different concentrations of neohesperidin(25,50 μmol/L)was used as experimental group.The expression of alkaline phosphatase,the degree of mineralization,the expression of osteogenic-related genes and target genes during osteogenic differentiation of cells were measured at corresponding time points. RESULTS AND CONCLUSION:(1)9 253 differentially expressed genes,2 161 osteoporosis-related targets,and 326 neohesperidin-related targets were screened.There were 53 common targets among the three.All 53 genes were up-regulated in osteoporosis samples.The PPI network screened the target gene PRKACA of research significance.GO function and KEGG pathway enrichment analysis showed that neohesperidin's treatment of osteoporosis through PRKACA target mainly depended on biological processes such as protein phosphorylation and protein autophosphorylation,acting on endocrine resistance,proteoglycan in cancer,and estrogen signaling pathway to play a therapeutic role.Molecular docking results showed that neohesperidin had a certain binding ability to the protein corresponding to the target PRKACA.(2)The results of alkaline phosphatase staining showed that neohesperidin could promote the expression of alkaline phosphatase in the early stage of osteogenic differentiation of mesenchymal stem cells.Alizarin red staining showed that neohesperidin could promote the mineralization of osteogenic differentiation of mesenchymal stem cells.RT-qPCR results showed that neohesperidin could increase the mRNA expression of alkaline phosphatase,PRKACA,and osteocalcin.(3)These results indicate that neohesperidin may promote osteogenic differentiation through PRKACA target on the estrogen signaling pathway to prevent and treat osteoporosis.

BACKGROUND:Currently,numerous experiments delve into the intricate anatomy and biomechanical behavior of distinct segments of the supraspinatus muscle.However,the impact of shoulder joint stress resulting from damage to various regions of this muscle remains a scarcely explored domain.Understanding the repercussions of supraspinatus muscle injuries across different regions on the stress distribution and magnitude of articular cartilage and the glenoid is crucial for providing some theoretical support for clinical diagnosis and treatment. OBJECTIVE:To ascertain the maximum stress values by simulating different degrees of supraspinatus muscle rupture on the humeral cartilage surface,glenoid lip,and glenoid cartilage joint surface using three-dimensional finite element software. METHODS:Normal and healthy shoulder joint CT or MRI scans were processed through Mimics and Geomagic to extract molds.Subsequently,models were constructed via Solidworks.Varying degrees of supraspinatus muscle damage were simulated for each model to mimic fractures in different regions.Finally,Ansys,mechanical software,was employed for three-dimensional finite element biomechanical analysis,calculating stress values for the humeral cartilage surface,glenoid lip,and glenoid cartilage joint surface. RESULTS AND CONCLUSION:(1)With worsening degrees of supraspinatus muscle injury,the stress on the shoulder joint cartilage surface and glenoid lip escalated.(2)Among various regions,the anterior part of the supraspinatus muscle exhibited paramount significance.(3)While supraspinatus muscle fractures of differing degrees impacted the magnitude of cartilage stress on the glenoid labial surface,the stress distribution remained constant.(4)It is indicated that during the initial stages of horizontal abduction of the shoulder joint,the anterior region assumes a pivotal role,followed by the posterior deep region.Injury to the anterior part of the supraspinatus muscle leads to a significant surge in stress within the shoulder joint's soft tissue,potentially causing damage to the top of the glenoid lip and the anterior part of the glenoid cartilage.

BackgroundSevere mental disorders represent a major public health concern due to the high disability rates and substantial disease burden， which has garnered significant national attention and prompted their inclusion in public health project management systems. However， credible evidence regarding the current status of disease management and factors influencing disease stabilization among patients with severe mental disorders in Luzhou City， Sichuan Province， remains limited. ObjectiveTo investigate the current management status of patients with severe mental disorders in Luzhou City， Sichuan Province， and to analyze influencing factors of disease stabilization among patients under standardized care， so as to provide evidence-based insights for developing targeted management strategies to optimize clinical interventions for this patient population. MethodsIn March 2023， data were extracted from the Sichuan Mental Health Service Comprehensive Management Platform for patients with severe mental disorders in Luzhou City who received management between December 2017 and December 2022. Information on mental health service utilization and clinical status changes was collected. Trend analysis was conducted to evaluate temporal changes in key management indicators for severe mental disorders in Luzhou City. Logistic regression analysis was employed to identify factors influencing the disease stabilization or fluctuation of these patients. ResultsThis study enrolled a total of 20 232 patients. In Luzhou City， the stabilization rate and standardized management rate of severe mental disorders were 94.89% and 79.36% in 2017， respectively， which increased to 95.33% and 96.92% by 2022. The regular medication adherence rate rose from 34.42% in 2018 to 86.81% in 2022. In 2022， the regular medication adherence rate was 71.80% for schizophrenia， 55.26% for paranoid psychosis， and 51.43% for schizoaffective disorder. Multivariate analysis identified the following protective factors for disease stabilization： age of 18~39 years （OR=0.613， 95% CI： 0.409~0.918）， age of 40~65 years （OR=0.615， 95% CI： 0.407~0.931）， urban residence （OR=0.587， 95% CI： 0.478~0.720）， and regular medication adherence （OR=0.826， 95% CI： 0.702~0.973）. Risk factors for disease fluctuation included poor （OR=1.712， 95% CI： 1.436~2.040）， non-inclusion in care-support programs （OR=1.928， 95% CI： 1.694~2.193）， non-participation in community rehabilitation （OR=2.255， 95% CI： 1.930~2.634）， and intermittent medication adherence （OR=3.893， 95% CI： 2.548~5.946）. ConclusionThe stability rate， standardized management rate， and regular medication adherence rate of patients with severe mental disorders in Luzhou City have shown a year-by-year increase. Age， household registration status， economic condition， medication compliance， and community-based rehabilitation were identified as influencing factors for disease fluctuation in these patients. ［Funded by Luzhou Science and Technology Plan Project （number， 2022-ZRK-186）］

Constructing an efficient and easy-to-operate multigene expression system is currently a crucial part of plant genetic engineering. In this study, a fragment carrying three independent gene expression cassettes and the expression unit of the gene-silencing suppressor protein(RNA silencing suppressor 19 kDa protein, P19) simultaneously was designed and constructed. This fragment was cloned into the commonly used plant expression vector pCAMBIA300, and the plasmid pC1300-TP2-P19 was obtained. Each gene expression cassette consists of different promoters, fusion tags, and terminators. The target gene can be flexibly inserted into the corresponding site through enzymatic digestion and ligation or recombination and fused with different protein tags, which provides great convenience for subsequent detection. The enhanced green fluorescent protein(eGFP) reporter gene was individually constructed into each expression cassette to verify the feasibility of this vector system. The results of tobacco transient expression and laser-confocal microscopy showed that each expression cassette presented independent and normal expression. Meanwhile, the three key enzyme genes in the betanin synthesis pathway, BvCYP76AD, BvDODA1, and DbDOPA5GT, were constructed into the three expression cassettes. The results of tobacco transient expression phenotype, protein immunoblotting(Western blot), and chemical detection of product demonstrated that the three exogenous genes were highly expressed, and the target compound betanin was successfully produced. The above results indicated that the constructed multigene expression system for plants in this study was efficient and reliable and can achieve the co-transformation of multiple plant genes. It can provide a reliable vector platform for the analysis of plant natural product synthesis pathways, functional verification, and plant metabolic engineering.
Nicotiana/metabolism* ; Genetic Vectors/metabolism* ; Gene Expression Regulation, Plant ; Plant Proteins/metabolism* ; Plants, Genetically Modified/metabolism* ; Genetic Engineering/methods* ; Green Fluorescent Proteins/metabolism* ; Gene Expression

Traditional Chinese medicine(TCM), with diverse structural types of active components and remarkable clinical efficacy, holds a significant position in the pharmacological research. As the key substances, active components of TCM are of great importance in revealing the material basis of TCM efficacy and mechanism of action. However, the conventional approaches of discovering active components in TCM are characterized by tedious procedures, lengthy cycles, and unclear mechanisms, which struggle to meet the current demands for drug development. In recent years, major breakthroughs have been made in target discovery technologies, and new drug targets are constantly being discovered, which has facilitated the development of target-driven approaches. The target-guided active component discovery strategy provides a new paradigm for discovering active components in TCM. This article systematically summarizes two mainstream target-based technologies-virtual screening and ligand fishing-for TCM active component discovery. By analyzing relevant application cases, this article evaluates the strengths and limitations of each technology. The review aims to provide frameworks for expediting bioactive component discovery in complex systems like TCM, so as to accelerate the development of innovative drugs based on the active components of TCM and promote the modernization and internationalization of TCM.
Drugs, Chinese Herbal/pharmacology* ; Humans ; Medicine, Chinese Traditional ; Drug Discovery/methods* ; Animals