[摘 要] 目的：探讨绿茶单体表没食子儿茶素没食子酸酯（EGCG）对大鼠肝癌发生过程中肠道菌群结构变化的影响。方法：建立二乙基亚硝胺（DEN）诱导的肝癌大鼠模型。将26只SD大鼠随机分成3组，分别为正常对照组、肝癌组和EGCG干预组。从实验开始第1天起，EGCG干预组每日给予EGCG（40 mg/kg）灌胃，正常对照组和肝癌组给予等量生理盐水灌胃，1次/日，持续至第20周。灌胃结束后，采集大鼠粪便样本，提取DNA，进行高通量16S rRNA V3-V4区测序；处死大鼠，取肝，观察肿瘤形成情况，并计算肝癌发生率。对测序数据进行生物信息学分析：经质控、聚类获得操作分类单元（OTU）表，据此计算α多样性指数（包括Observed species、Chao1、Shannon和Simpson指数），并进行β多样性分析。同时，对物种进行分类学注释，比较各组间菌群组成与丰度差异。结果： EGCG干预组大鼠（8只）肝脏肿瘤形成率明显低于肝癌组（10只）（50% vs 100%， P = 0.023），正常对照组（8只）大鼠无肿瘤发生。在肠道菌群方面，肝癌组操作分类单元（OTU）数量远低于正常对照组（P <0.001），而EGCG干预组OTU数量总体上高于肝癌组（P = 0.021）。α多样性分析显示，肝癌组Shannon指数低于正常对照组（P < 0.05）；此外，与肝癌组相比，EGCG干预组的Observed species指数、Chao1指数、Shannon指数和Simpson指数均显著提高（P < 0.05）。β多样性分析及主坐标分析（PCoA）表明，三组肠道菌群结构存在显著分离（PERMANOVA， R² = 0.3918， P = 0.001），其中EGCG干预组群落结构介于肝癌组与正常对照组之间，并更接近于正常对照组。肝癌组大鼠较正常大鼠肠道菌群中链球菌等潜在致病菌富集，丁酸产生相关菌（如丁酸球菌属、瘤胃球菌属等）丰度显著降低（P < 0.05）。相比之下，在EGCG干预肝癌发生过程中，大鼠肠道菌群结构相对稳定。厚壁菌门/拟杆菌门比值较肝癌组显著提高（P < 0.05），益生菌（如双歧杆菌属、乳杆菌属等）和丁酸产生相关菌（如丁酸球菌属）富集。结论：EGCG干预可降低DEN诱导的大鼠肝癌发生率，并有助于稳定肠道菌群结构，其作用可能与增加菌群多样性、促进益生菌及丁酸产生菌富集、恢复菌群平衡有关。

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

As one of the common systemic vasculitides in children， IgA vasculitis is closely associated with the interaction of "Wind pathogen" and "turbid stasis" in its pathogenesis. Based on the blood turbidity theory， this paper proposes "wind agitating blood turbidity and collateral damage" as the core pathogenesis. Regarding treatment， the sequential therapeutic principle of "stanch bleeding， activating blood circulation， and nourishing blood" is adopted， and combined with the dynamic application of wind-dispelling medicinals to "expel， search， and guard against wind"， turbidity-removing method is applied throughout all stages. In the acute stage，it is recommended to clear heat and purify turbidity， stanch bleeding and secure the collaterals. In the prolonged stage， the method of dissipating stasis and clearing up turbidity should be used， as well as activating blood circulation and unblocking the collaterals. In the recovery stage， it is advised to nourish blood to flourish the collaterals， reinforce healthy qi and resolve turbidity. This therapeutic system integrates the elimination of pathogens and the reinforcement of healthy qi to clear and resolve blood turbidity， ultimately achieving holistic collateral repair through securing， unblocking， and nourishing the collaterals， which provides new insights into the treatment of this disease in traditional Chinese medicine.

Based on the theory of "cold qi generates turbidity" described in the Inner Canon of Yellow Emperor （《黄帝内经》）， together with the physiological characteristics of children， who are considered to have an inherent insufficiency of the lung， spleen， and kidney， and the clinical features of recurrent refractory nephrotic syndrome （RNS）， this article proposes that the pathogenesis of RNS in children is characterized by yang deficiency with internal cold， turbidity arising from cold， latent turbidity transforming into toxin， activation by newly contracted pathogens， and turbid toxins damaging the collaterals. The core pathogenesis is identified as yang deficiency， turbidity coagulation， and collateral damage. Accordingly， the general treatment principle is warming yang and eliminating turbidity， with coordination of three methods including warming yang to strengthen the body's foundation， promoting yang to relieve constraint， and raising yang while replenishing qi. Zhenwu Decoction （真武汤） is employed as the basic prescription with modification according to syndrome differentiation， to achieve an effect eliminating turbidity and arresting leakage， restoring kidney function by unblocking the collaterals， and consolidating recovery to prevent relapse.

This study aimed to explore the therapeutic mechanisms of Colquhounia Root Tablets(CRT) in treating diabetic kidney disease(DKD) by integrating biomolecular network mining with animal model verification. By analyzing clinical transcriptomics data, an interaction network was constructed between candidate targets of CRT and DKD-related genes. Based on the topological eigenvalues of network nodes, 101 core network targets of CRT against DKD were identified. These targets were found to be closely related to multiple pathways associated with type 2 diabetes, immune response, and metabolic reprogramming. Given that immune-inflammatory imbalance driven by metabolic reprogramming is one of the key pathogenic mechanisms of DKD, and that many core network targets of CRT are involved in this pathological process, receptor for advanced glycation end products(RAGE)-reactive oxygen species(ROS)-phosphatidylinositol 3-kinase(PI3K)-protein kinase B(AKT)-nuclear factor-κB(NF-κB)-NOD-like receptor family pyrin domain containing 3(NLRP3) signaling axis was selected as a candidate target for in-depth research. Further, a rat model of DKD induced by a high-sugar, high-fat diet and streptozotocin was established to evaluate the pharmacological effects of CRT and verify the expression of related targets. The experimental results showed that CRT could effectively correct metabolic disturbances in DKD, restore immune-inflammatory balance, and improve renal function and its pathological changes by inhibiting the activation of the RAGE-ROS-PI3K-AKT-NF-κB-NLRP3 signaling axis. In conclusion, this study reveals that CRT alleviates the progression of DKD through dual regulation of metabolic reprogramming and immune-inflammatory responses, providing strong experimental evidence for its clinical application in DKD.
Animals ; Diabetic Nephropathies/metabolism* ; Receptor for Advanced Glycation End Products/genetics* ; NF-kappa B/genetics* ; Signal Transduction/drug effects* ; Rats ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Proto-Oncogene Proteins c-akt/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Phosphatidylinositol 3-Kinases/genetics* ; Reactive Oxygen Species/metabolism* ; Humans ; Plant Roots/chemistry* ; Rats, Sprague-Dawley ; Tablets/administration & dosage*

Objective To compare the hemodynamic effects of anesthesia induction with remimazolam tosylate and etomidate in elderly frail patients.Methods This study was a single-center,prospective,randomized,single-blind trial.From January to April 2024,96 elderly frail patients undergoing elective surgery in Fuyang People's Hospital were recruited.After excluding 6 cases(3 refused to participate,1 had tracheal intubation time＞30 s,and 2 had missing data),90 patients were finally included.They were randomly divided into remimazolam tosylate group(intravenous injection of 0.2 mg/kg remimazolam tosylate for anesthesia induction,n=45)and etomidate group(intravenous injection of 0.3 mg/kg etomidate for anesthesia induction,n=45)by the random number table method.The area under the curve for mean arterial pressure(MAP)below or above baseline values(AUCMAP-and AUCMAP+),the heart rate(HR)below or above baseline values by 10％(AUCHR-and AUCHR+)within 10 minutes of anesthesia induction,the time to loss of consciousness,the time from the start of anesthesia induction to a bispectral index(BIS)＜60,the incidence of drug-related adverse reactions,the incidence of cardiovascular adverse events,and the usage of vasoactive drug administrations were compared between the two groups.Results Compared with the etomidate group,the AUCMAP-(145.10±35.75 vs.178.52±39.78)and AUCHR-[43.20(26.58,56.35)vs.54.99(43.01,65.85)]in remimazolam tosylate group were significantly reduced(P＜0.001,P=0.001).The time to loss of consciousness and the time from the start of anesthesia induction to BIS＜60 were prolonged(P＜0.001).The incidence of drug-related adverse reactions was significantly decreased(P＜0.05),and the number of norepinephrine administrations was significantly reduced(P＜0.05)in remimazolam tosylate group.However,there were no statistically significant differences in AUCMAP+,AUCHR+,the incidence of cardiovascular adverse events,and the usages of atropine,urapidil,and esmolol between the two groups(P＞0.05).Conclusion The use of remimazolam tosylate during anesthesia induction in elderly frail patients can provide more stable hemodynamic parameters and results in fewer adverse reactions than etomidate.

ObjectiveTo investigate the effects of foliar fertilizer of nano-calcium carbonate and calcium nitrate tetrahydrate on the agronomic traits， carbohydrate and endogenous hormone contents of Dendrobium officinale planted for 1 year under greenhouse cultivation， in order to provide scientific basis for fertilization to improve the yield and quality of D. officinale. MethodsSingle-factor experimental design was adopted. Starting from early spring， D. officinale was treated with foliar spraying according to corresponding fertilizers. Three treatment groups were established based on different fertilizers， namely， a blank group（clear water）， a nano-calcium carbonate group（0.727 g·L^-1 nano-calcium carbonate water-soluble fertilizer）， and a calcium nitrate tetrahydrate group（1.091 g·L^-1 calcium nitrate tetrahydrate water-soluble fertilizer）. The frequency of spraying was three times per month， and the entire treatment process lasted for nine months. The effects of various treatments on the traits and relative chlorophyll content of D. officinale were dynamically monitored. Sampling was conducted at three specific time points：August 2， 2023， September 8， 2023， and November 1， 2023， respectively. The contents of glucose and mannose in D. officinale stems were determined by high performance liquid chromatography（HPLC）， the content of soluble sugars in D. officinale stems and leaves was determined by phenol method， and enzyme-linked immunosorbent assay（ELISA） was used to detect the concentrations of cytokinin and auxin. ResultsCompared with the blank group， the treatments with nano-calcium carbonate and calcium nitrate tetrahydrate could significantly increase stem length， stem node number， leaf number， and tiller number. Among them， during the harvesting period in November， the stem length and tiller number， which are indicators related to the yield of D. officinale， increased by 60.85% and 19.23% after treatment with calcium nitrate tetrahydrate， and by 32.54% and 28.85% after treatment with nano-calcium carbonate， respectively. Compared with the blank group， treatments with nano-calcium carbonate and calcium nitrate tetrahydrate could promote the accumulation of sucrose in the stems and leaves of D. officinale to varying degrees， as well as the accumulation of polysaccharides， mannose， and glucose in the stems. In addition， nano-calcium carbonate treatment also facilitated the accumulation of fructose in the stems and leaves of D. officinale. Specifically， during the harvesting period in November， polysaccharides and mannose， which were the main active ingredients in D. officinale stems， increased by 28.48% and 29.36% after treatment with calcium nitrate tetrahydrate， and by 39.91% and 82.62% after treatment with nano-calcium carbonate， respectively. In addition， compared with the blank group， the concentrations of auxin in the stems and leaves of D. officinale were significantly increased after treatment with calcium nitrate tetrahydrate（P<0.05）. Similarly， the concentrations of cytokinin and auxin in the stems of D. officinale were also elevated after treatment with nano-calcium carbonate. Correlation analysis further indicated that elongation growth and tillering of D. officinale stems after foliar spraying of nano-calcium carbonate and calcium nitrate tetrahydrate might be related to the accumulation of carbohydrates in the stems and leaves and the synergistic effect of auxin and cytokinin. ConclusionIn production practice， spraying nano-calcium carbonate and calcium nitrate tetrahydrate can promote the accumulation of cytokinin， auxin， and carbohydrate contents in the stems and leaves of D. officinale， and promote tillering and elongation growth of the stems.

OBJECTIVE To investigate the effectiveness of resident clinical pharmacist-led medication therapy management （MTM） model in geriatric cardiology departments， and provide reference for optimizing resident pharmaceutical services. METHODS A retrospective cohort study was conducted， incorporating data from inpatients admitted to the Department of Cardiovascular Medicine in the Geriatric Medical Center of our hospital during March to August 2023 （conventional group， n＝ 903） and the same period in 2024 （MTM group， n＝963）. The conventional group received only standard pharmaceutical services （including prospective prescription review and retrospective order evaluation）， while the MTM group received additional resident clinical pharmacist-led interventions-such as medication reconciliation， personalized therapeutic drug monitoring （TDM）， standardized intravenous infusion management， and a four-stage closed-loop monitoring process-based on conventional care. The effectiveness of the MTM model was evaluated by comparing the primary outcome measures （e.g.， intravenous infusion rate， TDM target attainment rate） and secondary outcome measures [e.g.， incidence of drug-drug interactions （DDIs）， incidence of grade 3 or higher acute kidney injury， average length of hospital stay， cholesterol， and medication cost per capita] between the two groups. RESULTS Compared with the conventional group， in terms of primary outcome indexes： both the overall intravenous infusion rate and the use rate of acid-suppressive injection were significantly lowered in the MTM group （P＜0.05）； serum concentration target attainment rates for digoxin and vancomycin were increased significantly （P＜0.05）. For secondary outcome indexes， the MTM group exhibited significant decreases in the work incidence of grade 3 or higher acute kidney injury， the incidence of DDIs， the rate of patients leaving the hospital against medical advice， alanine amino-transferase， aspartate transferase and the per capita total medication cost （P＜0.05）. Additionally， there was a notable increase in the creatinine， estimated glomerular filtration rate and a significant shortening of the per capita length of hospital stay （P＜0.05）. CONCLUSIONS The resident clinical pharmacist-led MTM model can significantly optimize medication therapy processes， enhance medication safety and cost-effectiveness， thus playing a positive role in promoting rational drug use and improving patient outcomes.