Traditional Chinese medicine(TCM) processing is a unique and highly distinctive pharmaceutical technology in China. Utilizing modern scientific methods to elucidate the connotations of traditional processing theory and its effects is expected to facilitate the inheritance, development, innovation, and enhancement of TCM processing, and lead to more original research outcomes in the field of TCM. The breakthrough in TCM processing lies in the study of its underlying principles, and analyzing these principles involves researching the transformation mechanisms of chemical components and the biological effect mechanisms of the transformed components. This paper proposed the concept of "TCM processing chemical biology"(TCMPCB) for the first time. Under the guidance of TCM theory, the active components transformed during TCM processing were used as chemical tools to study their targets and molecular regulatory mechanisms, aiming to clarify the scientific principles by which TCM processing affected biological effects in the organism. The research findings also provided new directions for discovering novel active components, new lead compounds, creating new decoction pieces, and developing new TCM drugs. This paper provided a detailed introduction to the background, definition, research content, research ideas, research methods, and prospects of TCMPCB, with the aim of offering new research perspectives for analyzing the principles of TCM processing and providing new pathways for achieving the "four new and eight transformations" in TCM processing.
Drugs, Chinese Herbal/chemistry* ; Medicine, Chinese Traditional/methods* ; Humans ; Animals

OBJECTIVE: By analyzing the hormone secretion of the adenohypophysis, thyroid glands, gonads, and adrenal cortex in patients with hematological diseases before and after hematopoietic stem cell transplantation (HSCT), this study aims to preliminarily explore the effect of HSCT on patients' hormone secretion and glandular damage. METHODS: The baseline data of 209 hematological disease patients who underwent HSCT in our hospital from January 2019 to December 2023, as well as the data on the levels of hormones secreted by the adenohypophysis, thyroid glands, gonads and adrenal cortex before and after HSCT were collected, and the changes in hormone levels before and after transplantation were analyzed. RESULTS: After allogeneic HSCT, the levels of thyroid-stimulating hormone (TSH), triiodothyronine (T3), free triiodothyronine (FT3) and estradiol (E2) decreased, while the levels of luteinizing hormone (LH) and follicle- stimulating hormone (FSH) increased. The T3 level of patients with decreased TSH after transplantation was lower than that of those with increased TSH after transplantation. In female patients, the levels of prolactin (PRL), progesterone (Prog), and testosterone (Testo) decreased after HSCT. Testo and PRL decreased when there was a donor-recipient sex mismatch, and the levels of adrenocorticotropic hormone (ACTH) and cortisol (COR) decreased when the HLA matching was haploidentical. The levels of T3, FT3, and PRL decreased after autologous HSCT. In allogeneic HSCT patients, the levels of TSH, T4, T3, FT3, and ACTH in the group with graft-versus-host disease (GVHD) were significantly lower than those in the group without GVHD. Logistic regression analysis showed the changes in hormone levels after transplantation were not correlated with factors such as the patient's sex, age, or whether the blood types of the donor and the recipient are the same. CONCLUSION HSCT can affect the endocrine function of patients with hematological diseases, mainly affecting target glandular organs such as the thyroid, gonads, and adrenal glands, while the secretory function of the adenohypophysis is less affected.
Humans ; Hematopoietic Stem Cell Transplantation ; Female ; Male ; Hematologic Diseases/blood* ; Follicle Stimulating Hormone/blood* ; Triiodothyronine/blood* ; Luteinizing Hormone/blood* ; Thyroid Gland/metabolism* ; Estradiol/blood* ; Thyrotropin/blood* ; Gonads/metabolism* ; Adult ; Middle Aged ; Adrenocorticotropic Hormone/blood* ; Hormones/metabolism* ; Adrenal Cortex/metabolism* ; Prolactin

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

Background Oral exposure to metals/metalloid elements in drinking water may be harmful to human health. Objective To assess potential health risks of oral exposure to 9 metals/metalloids in drinking water in Zibo City of Shandong Province from 2019 to 2023, and provide reference for the development of local drinking water management policies. Method From 2019 to 2023, a total of 1178 drinking water samples were collected from 261 rural water monitoring sites and 14 urban water monitoring sites in 8 districts and counties of Zibo City. The US Environmental Protection Agency's (EPA) four-step health assessment model was used to evaluate the health risks of oral exposure to 9 metals/metalloids in drinking water for adults. Results A total of 1178 water samples were collected, including 561 urban water samples and 617 rural water samples; 769 samples of tap water and 409 samples of finished water; 634 samples collected in wet season and 544 in dry season. The median carcinogenic risk (CR) of arsenic exposure in drinking water for adults was 3.53×10⁻⁵, and the median hazard quotient (HQ) was 7.85×10⁻². The HQs of arsenic and zinc showed an upward trend in recent years, while the HQ of aluminum showed a downward trend. The stratified analysis results showed that there was no statistically significant difference in the CR of arsenic between males and females or between urban water and rural water. The CR of arsenic in dry season was higher than that in wet season, and the CR of arsenic in tap water was higher than that in finished water (P<0.05). There was no statistically significant difference in the HQs of 9 metals/metalloids in drinking water between males and females. The HQs of aluminum, copper, arsenic, selenium, and cadmium in tap water were higher than those in finished water (P<0.05). In dry season, the HQs of aluminum, manganese, copper, zinc, arsenic, and selenium were higher than those in wet season (P<0.05). The HQs of aluminum, copper, zinc, cadmium, and lead in urban water were higher than those in rural water (P<0.05). Conclusion The overall health risks of 9 metal/metalloid pollutants in drinking water in Zibo City are lower than the maximum acceptable risk recommended by the US EPA, and suggest an acceptable level and no significant harm to adult health. The health risk of arsenic is relatively high and should be given priority by relevant departments in drinking water risk management.

Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body’s immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases.In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. Achieving this using conventional drugs was difficult. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment.

Microorganisms can form biofilms, complex, heterogeneous, multicellular communities that adhere to surfaces. Biofilm formation on the surface of structures in water will accelerate structures’ corrosion, seriously affect their service efficiency and life, and significantly impact the growth of animals, plants, and human life. Hence, clarifying the mechanism of biofilm formation contributes to developing new strategies to control biofilm formation on surface and then reduce infections, biofouling, and contaminations. Biofilm-targeting strategies include the regulation of established biofilms or the modulation of single-cell attachment. In most studies, physicochemical mechanism is frequently applied to explain the initial bacterial adhesion phenomena but rarely to explain other stages of biofilm formation. This review presents a five-step comprehensive description of the physicochemical process from film formation to biofilm maturation: (1) period of film formation; (2) period of bacterial adhesion; (3) period of extracellular-polymeric-substances (EPSs) membrane formation; (4) period of regulating biofilm by quorum sensing (QS); (5) period of biofilm maturation. We first clarify how the film formed by compound molecules affects the surface’s physicochemical properties and initial adhesion, summarizing many factors that affect bacterial adhesion. We then review the types of EPSs and signal molecules secreted by bacteria after irreversible adhesion, as well as their role and QS mechanism in biofilm maturation. Finally, we discuss how bacteria or microcolonies separate from the mature biofilm by physicochemical action and summarize the morphology and adhesion characterization methods after the biofilm matures. This review redefines the role of physicochemical in the whole process of biofilm formation and provides a theoretical basis for the prevention, removal, and utilization of biofilm and other related research fields.

Gallbladder carcinoma,a relatively rare malignancy within the biliary tract,presents a grave prognosis primarily due to asymptomatic early stages leading to advanced stage diagnosis and the absence of efficacious treatment options.Research has identified chronic inflammation,predom-inantly caused by gallstones,as a critical etiological factor.While surgical intervention offers potential curative outcomes in early stages,the majority of cases are identified too late for optimal surgical outcomes.Chemotherapy and targeted therapy,despite offering new therapeutic avenues,have not significantly improved overall survival rates.Thus,understanding the pathogenesis of gallbladder cancer,especially its association with key genetic and molecular pathways,is imperative for devising novel therapeutic strategies.This review delineates the epidemiology,pathogenesis,current treat-ment modalities,and research advancements in gallbladder cancer,aiming to provide innovative in-sights for clinical management and guide future research endeavors.

BACKGROUND:Hyperhomocysteinemia is closely related to the function of islet β cells,but its specific molecular mechanism is not fully understood. OBJECTIVE:To investigate the role of N6 methyltransferase-like 3(METTL3)in homocysteine(Hcy)-induced autophagy of mouse islet β cells. METHODS:The 3rd and 4th generation mouse islet β cells were taken for the experiment.(1)Cell modeling and grouping:cells in control group were not treated with Hcy,while those in homocysteine group were treated with 100 μmol/L Hcy for 48 hours.(2)The mouse islet β-cells were transfected with the plasmids overexpressing Ad-METTL3 and si-METTL3 according to the instructions of LipofectamineTM 2000.Three different interfering fragments were designed,and the one with the best interfering efficiency was verified and screened by PCR.(3)After transfection,the cells were divided into control group,Hcy group,Ad-NC(negative control)+Hcy group,Ad-METTL3+Hcy group,si-NC(negative control)+Hcy group and si-METTL3+Hcy group.(4)qRT-PCR and western blot were used to detect the expression levels of METTL3 and autophagy-related proteins LC3Ⅱ/Ⅰ and p62 in cells.Insulin level was determined by ELISA to evaluate insulin secretion capacity of islet cells.Autophagy-related proteins and insulin level were detected after overexpression and interference with METTL3. RESULTS AND CONCLUSION:Compared with the control group,the expression level of LC3Ⅱ/Ⅰ was increased(P＜0.05),the expression of p62 was significantly reduced(P＜0.05),and the insulin secretion capacity was significantly decreased(P＜0.05)in the Hcy group.Compared with the control group,the protein and mRNA levels of METTL3 were reduced in the Hcy group(P＜0.05).After METTL3 silencing in islet β cells,Hcy further upregulated the expression of LC3Ⅱ/Ⅰ(P＜0.05),significantly dowregulated the expression of p62(P＜0.05),and increased the insulin level(P＜0.05).After overexpression of METTL3,Hcy significantly decreased the LC3Ⅱ/Ⅰ expression and increased the p62 expression in islet β cells(P＜0.05).To conclude,METTL3 is involved in the Hcy-induced autophagy regulation of islet β cells and plays a role in the regulation of insulin secretion.

Objective To clarify the understanding of types of laboratories and manufacturers for GB 9706.1-2020 Medical electrical equipment-Part 1:General requirements for basic safety and essential performance by laboratory proficiency testing for creepage distance and electrical clearance test.Methods An operation guide was formed according to the testing program in GB 9706.1-2020,and the homogeneity and stability of the samples were evaluated according to CNAS-GL003:2018 Guidance on Evaluating the Homogenneity and Stability of Samples Used for Proficiency Testing.Robust statistic methods were used to assess the quantitative parameters of the test results of the participating laboratories according to the requirements in GB/T 28043-2019 Statistical methods for use in proficiency testing by interlaboratory comparison;the results reported by the expert laboratories were used as the specified values of the qualitative parameters.SPSS 25.0 statistical software was used for data analysis.Results All the results of the crreepage distance and electrical clearance tests met the requirements for homogeneity and stability.Of the 46 laboratories involved in,37 ones did have comprehensive satisfactory determinations while the remained 9 ones not.Conclusion Some laboratories don't behave well in understanding the standard,which have to be reformed accordingly to enhance their proficiencies.[Chinese Medical Equipment Journal,2024,45(10):54-59]

Objective:To identify risk variables for prolonged postoperative length of stay (PPOLOS) in hip fracture patients by machine learning algorithms and construct Nomogram models.Methods:A retrospective case-control study was conducted to select 248 patients with hip fracture diagnosed and treated in Yingtan 184th Hospital from June 2019 to June 2023 by convenient sampling method. Two machine learning algorithms were used (least absolute shrinkage and selection operator, LASSO and support vector machine-Recursive Feature Elimination, SVM-RFE) to screen PPOLOS risk variables. Construct a Nomogram model to predict the risk of PPOLOS in patients with hip fracture based on intersection risk variables. The model was validated using internal data sets.Results:Among the 248 patients with hip fracture, there were 79 males and 169 females, aged (64.49 ± 8.02). The mean postoperative length of hospital stay of 248 patients was (7.98 ± 5.68) d, and the median was 7 d. LASSO algorithm identifies 7 risk variables, the SVM-RFE algorithm identified 8 risk variables. Intersectional risk variables were age, body mass index (BMI), Charlson comorbidity index (CCI), type of surgery, and central granulocytocyte ratio (NLR). Multivariate Logistic regression analysis(intersection risk variables) showed that age [ OR=1.649(1.235-2.202)], BMI [1.603(1.204-2.134)], CCI [ OR=1.670(1.236-2.258)], type of surgery [ OR=1.620(1.209-2.170), 1.699(1.243-2.321)], and NLR [ OR=3.258(2.299-4.617)] were independently associated with the risk of PPOLOS (all P<0.05). The results showed that the conformity index of the Nomogram model was 0.865 (95% CI=0.768-0.945). The area under the curve was 0.852 (95% CI=0.748-0.962). When the risk threshold was >0.08, it could provide significant clinical net benefit. The clinical impact curve showed effective identification of PPOLOS patients in high-risk groups. Conclusions:This Nomogram model can guide medical staff to make clinical diagnosis and treatment decisions as soon as possible to avoid risks, allocate medical resources rationally, and improve nursing quality.