Objective To observe the effects of Angelica and Astragalus ultrafiltration membrane extracts on Keap1/Nrf2 signaling pathway-related factors in diabetes kidney disease(DKD)model rats;To explore its mechanism in treating oxidative stress injury of DKD.Methods Totally 70 SPF-grade male SD rats were randomly divided into 10 rats for the blank group and the remaining 60 rats were fed with high-sugar and high-fat diet,streptozotocin was intraperitoneally injected after 4 weeks to establish the DKD model.The established model rats were randomly divided into the model group,positive control group(GKT137831 30 mg/kg)and TCM high-,medium-and low-dosage groups(Angelica and Astragalus ultrafiltration membrane extracts 6,3,1.5 g/kg),which were orally administered with corresponding drugs.The blank group and model group were given equivalent volume of distilled water orally once daily for 12 consecutive weeks.Random blood glucose,body mass and 24 h urinary total protein content(24 h-UTP)were detected,biochemical assays were conducted to detect serum creatinine(SCr),blood urea nitrogen(BUN),triglycerides(TG),total cholesterol(TC)and albumin(ALB)contents,HE and Masson staining were used to observe the morphology in renal tissue,the contents of reactive oxygen species(ROS),glutathione(GSH)and malondialdehyde(MDA)were measured by ELISA,the protein expressions of nicotinamide adenine dinucleotide phosphate oxidase 4(Nox4),Kelch-like ECH-associated protein 1(Keap1),nuclear factor erythroid 2-related factor 2(Nrf2),glutamate-cysteine ligase modifier subunit(GCLM)and glutathione peroxidase 4(GPX4)in renal tissue were detected by Western blot.Results Compared with the blank group,the random blood glucose at each time point of model group rats significantly increased(P<0.01),the 24 h-UTP significantly increased(P<0.01),the contents of SCr,BUN and serum TG,TC increased(P<0.01),and ALB content decreased(P<0.01);with loose arrangement and disordered structure of renal tissue,consolidation of glomeruli,shedding of renal tubular epithelial cells,and increased deposition of collagen fibers;the contents of serum ROS and MDA were significantly elevated(P<0.01),while GSH contents decreased(P<0.01);the protein expression of Nox4 and Keap1 in renal tissue significantly increased(P<0.01),the expression of Nrf2,GCLM and GPX4 protein significantly decreased(P<0.01).Compared with the model group,the random blood glucose were significantly reduced at 6,8,10,12 weeks in the treatment groups(P<0.01),24 h-UTP decreased(P<0.01),the contents of SCr,BUN,TG,TC in positive control group and TCM high-,medium-dosage group decreased,with increased ALB content(P<0.01,P<0.05);renal tubular and glomerular lesions were improved,and collagen fiber proliferation decreased;serum ROS and MDA contents were reduced,while GSH content increased(P<0.01,P<0.05);the protein expression of Nox4 and Keap1 in renal tissue decreased(P<0.01),and Nrf2,GCLM and GPX4 protein expression increased(P<0.01).Conclusion Angelica and Astragalus ultrafiltration membrane extracts can effectively alleviate injury of renal tissue in DKD rats,and its mechanism may be related to the regulation of the Keap1/Nrf2 signaling pathway and inhibition of oxidative stress response.

Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

Objective:To analyze the effect of joint management of type 2 diabetes mellitus (T2DM) between specialty and community under the model of National Diabetes Prevention and Control Center (DPCC).Methods:A total of 2 527 T2DM patients managed by DPCC Pingshan Center of Shenzhen from January 1, 2022 to December 31, 2024 were retrospectively included. After management, the rate of downturn, reexamination rate, blood pressure compliance rate, metabolic indicators (waist circumference, body mass index, fasting blood glucose, glycosylated hemoglobin, blood lipids) and screening rate of chronic complications of diabetes (atherosclerotic cardiovascular disease, microvascular disease, diabetic peripheral neuropathy) were analyzed. Those included 2022 ( n=564), 2023 ( n=1 477), and 2024 ( n=2 527). Results:The downturn rate in 2022, 2023 and 2024 increased year by year (22.8% vs 67.2% vs 89.9%, P<0.01), and the review rate (41.1% vs 62.2% vs 52.7%, P<0.01), complication screening rate (51.6% vs 85.3% vs 62.2%, P<0.01), blood pressure compliance rate (53.1% vs 78.0% vs 67.2%, P<0.01), body mass index compliance rate (13.2% vs 17.3% vs 28.6%, P<0.01), fasting blood glucose meeting rate (46.4% vs 60.2% vs 68.5%, P<0.01), glycated hemoglobin meeting rate (58.4% vs 63.2% vs 45.6%, P<0.01) were relatively improved. Waist circumference compliance rate (30.6% vs 27.7% vs 21.6%) and blood lipid compliance rate (33.6% vs 35.5% vs 31.9%) were not significantly improved, and the review rate, blood pressure compliance rate and complication screening rate in 2024 were lower than those in 2023 and higher than those in 2022. Conclusions:The combined management of type 2 diabetes under the DPCC model has significant effects on improving the down-conversion rate, rediagnosis rate, blood pressure compliance rate, metabolic index compliance rate and the screening rate of diabetes-related chronic complications in patients with diabetes. At the same time, it was also found that with the progress of hierarchical diagnosis and treatment, the review rate, complication screening rate, blood pressure, waist circumference, blood lipid and glycosylated hemoglobin reached the standard of patients decreased compared with the previous situation, which needs to be further analyzed and improved.

OBJECTIVE To establish the HPLC fingerprint of Xintong granules and the quantitative analysis of multi-components by single-marker method(QAMS)to determine the contents of 7 components,so as to provide a scientific basis for their quality control.METHODS HPLC method was used to establish the fingerprints for 10 batches of Xintong granules(No.S1-S10),and similarity evaluation,cluster analysis(CA)and partial least squares-discriminant analysis(PLS-DA)were performed.At the same time,the contents of seven components,including puerarin,daidzin,calycosin-7-O-β-D-glucoside,stilbene glycoside,naringin,icariin and tanshinone ⅡA,were determined by QAMS method,and were compared with the results of external standard method.RESULTS A total of 18 common peaks were marked and 7 peaks were identified in the HPLC fingerprints for 10 batches of Xintong granules,namely puerarin(peak 4),daidzin(peak 7),calycosin-7-O-β-D-glucoside(peak 9),stilbene glycoside(peak 10),naringin(peak 12),icariin(peak 17),and tanshinone ⅡA(peak 18);the similarities among them were more than 0.990,and CA and PLS-DA results showed that S4-S5,S8-S10,S1-S3 and S6-S7 were clustered into three categories,respectively.Using naringin as the internal standard,the contents of puerarin,daidzin,calycosin-7-O-β-D-glucoside,stilbene glycoside,icariin and tanshinone ⅡA were determined to be 7.868 1-10.181 2,1.709 2-2.374 1,0.285 2-0.326 3,1.024 1-1.523 9,0.140 2-0.290 4,and 0.077 1-0.219 4 mg/g,respectively,by the QAMS.These results showed no significant differences compared to those obtained by the external standard method.CONCLUSIONS Established HPLC fingerprint and QAMS method are convenient,stable and accurate,which can provide a basis for the quality evaluation of Xintong granules.

Objective:To analyze the effect of joint management of type 2 diabetes mellitus (T2DM) between specialty and community under the model of National Diabetes Prevention and Control Center (DPCC).Methods:A total of 2 527 T2DM patients managed by DPCC Pingshan Center of Shenzhen from January 1, 2022 to December 31, 2024 were retrospectively included. After management, the rate of downturn, reexamination rate, blood pressure compliance rate, metabolic indicators (waist circumference, body mass index, fasting blood glucose, glycosylated hemoglobin, blood lipids) and screening rate of chronic complications of diabetes (atherosclerotic cardiovascular disease, microvascular disease, diabetic peripheral neuropathy) were analyzed. Those included 2022 ( n=564), 2023 ( n=1 477), and 2024 ( n=2 527). Results:The downturn rate in 2022, 2023 and 2024 increased year by year (22.8% vs 67.2% vs 89.9%, P<0.01), and the review rate (41.1% vs 62.2% vs 52.7%, P<0.01), complication screening rate (51.6% vs 85.3% vs 62.2%, P<0.01), blood pressure compliance rate (53.1% vs 78.0% vs 67.2%, P<0.01), body mass index compliance rate (13.2% vs 17.3% vs 28.6%, P<0.01), fasting blood glucose meeting rate (46.4% vs 60.2% vs 68.5%, P<0.01), glycated hemoglobin meeting rate (58.4% vs 63.2% vs 45.6%, P<0.01) were relatively improved. Waist circumference compliance rate (30.6% vs 27.7% vs 21.6%) and blood lipid compliance rate (33.6% vs 35.5% vs 31.9%) were not significantly improved, and the review rate, blood pressure compliance rate and complication screening rate in 2024 were lower than those in 2023 and higher than those in 2022. Conclusions:The combined management of type 2 diabetes under the DPCC model has significant effects on improving the down-conversion rate, rediagnosis rate, blood pressure compliance rate, metabolic index compliance rate and the screening rate of diabetes-related chronic complications in patients with diabetes. At the same time, it was also found that with the progress of hierarchical diagnosis and treatment, the review rate, complication screening rate, blood pressure, waist circumference, blood lipid and glycosylated hemoglobin reached the standard of patients decreased compared with the previous situation, which needs to be further analyzed and improved.

Objective To observe the effects of Angelica and Astragalus ultrafiltration membrane extracts on Keap1/Nrf2 signaling pathway-related factors in diabetes kidney disease(DKD)model rats;To explore its mechanism in treating oxidative stress injury of DKD.Methods Totally 70 SPF-grade male SD rats were randomly divided into 10 rats for the blank group and the remaining 60 rats were fed with high-sugar and high-fat diet,streptozotocin was intraperitoneally injected after 4 weeks to establish the DKD model.The established model rats were randomly divided into the model group,positive control group(GKT137831 30 mg/kg)and TCM high-,medium-and low-dosage groups(Angelica and Astragalus ultrafiltration membrane extracts 6,3,1.5 g/kg),which were orally administered with corresponding drugs.The blank group and model group were given equivalent volume of distilled water orally once daily for 12 consecutive weeks.Random blood glucose,body mass and 24 h urinary total protein content(24 h-UTP)were detected,biochemical assays were conducted to detect serum creatinine(SCr),blood urea nitrogen(BUN),triglycerides(TG),total cholesterol(TC)and albumin(ALB)contents,HE and Masson staining were used to observe the morphology in renal tissue,the contents of reactive oxygen species(ROS),glutathione(GSH)and malondialdehyde(MDA)were measured by ELISA,the protein expressions of nicotinamide adenine dinucleotide phosphate oxidase 4(Nox4),Kelch-like ECH-associated protein 1(Keap1),nuclear factor erythroid 2-related factor 2(Nrf2),glutamate-cysteine ligase modifier subunit(GCLM)and glutathione peroxidase 4(GPX4)in renal tissue were detected by Western blot.Results Compared with the blank group,the random blood glucose at each time point of model group rats significantly increased(P<0.01),the 24 h-UTP significantly increased(P<0.01),the contents of SCr,BUN and serum TG,TC increased(P<0.01),and ALB content decreased(P<0.01);with loose arrangement and disordered structure of renal tissue,consolidation of glomeruli,shedding of renal tubular epithelial cells,and increased deposition of collagen fibers;the contents of serum ROS and MDA were significantly elevated(P<0.01),while GSH contents decreased(P<0.01);the protein expression of Nox4 and Keap1 in renal tissue significantly increased(P<0.01),the expression of Nrf2,GCLM and GPX4 protein significantly decreased(P<0.01).Compared with the model group,the random blood glucose were significantly reduced at 6,8,10,12 weeks in the treatment groups(P<0.01),24 h-UTP decreased(P<0.01),the contents of SCr,BUN,TG,TC in positive control group and TCM high-,medium-dosage group decreased,with increased ALB content(P<0.01,P<0.05);renal tubular and glomerular lesions were improved,and collagen fiber proliferation decreased;serum ROS and MDA contents were reduced,while GSH content increased(P<0.01,P<0.05);the protein expression of Nox4 and Keap1 in renal tissue decreased(P<0.01),and Nrf2,GCLM and GPX4 protein expression increased(P<0.01).Conclusion Angelica and Astragalus ultrafiltration membrane extracts can effectively alleviate injury of renal tissue in DKD rats,and its mechanism may be related to the regulation of the Keap1/Nrf2 signaling pathway and inhibition of oxidative stress response.

In recent years, with the increasing societal focus on drug quality and safety, quality issues have become a major challenge faced by the pharmaceutical industry, directly impacting consumer health and market trust. By combining multispectral imaging technology with machine learning, it is possible to achieve rapid, non-destructive, and precise detection of traditional Chinese medicine(TCM) preparations, thereby revolutionizing traditional detection methods and developing more convenient and automated solutions. This paper provides a comprehensive review of the current applications of rapid, non-destructive detection techniques based on machine learning algorithms in the field of TCM preparations. It analyzed the principles and advantages of commonly used rapid, non-destructive detection techniques, offering a reference for the application and promotion of these technologies in TCM preparation detection. Additionally, this paper explored various data preprocessing techniques, operational processes, and machine learning algorithms to enhance data utilization efficiency. Finally, it focused on the challenges of applying machine learning in TCM preparation detection and offered corresponding recommendations, providing guidance for the future integration of machine learning with rapid, non-destructive detection techniques in practical production.
Machine Learning ; Drugs, Chinese Herbal/analysis* ; Medicine, Chinese Traditional/methods* ; Humans ; Quality Control

At present, China's traditional Chinese medicine(TCM) industry is developing rapidly with the support of modern science and technology. While promoting economic development and improving national health, it has brought multiple environmental problems. Under the "dual carbon" goals, the ecological fine manufacturing of TCM may become one of the breakthroughs for the TCM industry to practice low-carbon economy. From the perspective of low-carbon economy and considering the current situation of TCM pharmaceutical manufacturing, this paper analyzes the problems and shortcomings of the TCM pharmaceutical industry. In view of the key factors influencing the quality of TCM preparations under the ecological fine manufacturing mode, this paper proposes a practical and feasible selection plan for the ecological fine manufacturing mode of TCM, aiming to provide research ideas and a theoretical basis for the TCM industry in helping to achieve the goals of carbon peaking and carbon neutrality.
Drugs, Chinese Herbal/economics* ; Medicine, Chinese Traditional ; Carbon/analysis* ; China ; Drug Industry/economics*

The construction method and simulation parameter settings for the discrete element model of Jianwei Xiaoshi Granules, as the primary material of Jianwei Xiaoshi Tablets, are not yet clear. The accuracy of the simulation model significantly influences the dynamic response characteristics between granules. Therefore, it is necessary to calibrate the parameters to improve the accuracy of the simulation parameters. Using the repose angle of Jianwei Xiaoshi Granules as the response value, the response surface methodology was employed to optimize and calibrate the discrete element parameters. Physical experiments were conducted to determine the physical properties of Jianwei Xiaoshi Granules. Based on the Hertz-Mindlin with Johnson-Kendall-Roberts(JKR) V2 model and virtual simulation methods, a repose angle determination model was constructed in EDEM software. The repose angle was measured using image analysis and numerical fitting methods. The Plackett-Burman experiment was used to screen the initial parameters for significance in the discrete element simulation. The significant parameters were then subjected to a steepest ascent experiment to determine the optimal parameter range. Furthermore, based on the Box-Behnken experiment, a second-order regression equation between significant parameters and repose angle was established, with the repose angle of 37.64° in the physical experiment as the target value. The regression equation was optimized and solved. The significance screening experiment revealed that the granule-granule static friction coefficient, granule-granule rolling friction, and granule-steel plate rolling friction of Jianwei Xiaoshi Granules significantly influenced the simulated repose angle. The optimal parameter combination was found to be 0.330, 0.222, and 0.229. The simulation results with this optimal parameter combination showed that there was no significant difference between the simulated repose angle and the repose angle obtained in the physical experiment, with a relative error of 0.05%, which further validated the reliability of the calibrated discrete element parameters for Jianwei Xiaoshi Granules.
Drugs, Chinese Herbal/chemistry* ; Calibration ; Computer Simulation

Identification of critical material attributes(CMAs) is a key issue in the quality control of large-scale TCM products like Jianwei Xiaoshi Tablets. This study focuses on the granules of Jianwei Xiaoshi Tablets, using tablet tensile strength as the primary quality attribute. A method for identifying the CMAs and a design space for the granules were established, along with a predictive model for the granule CMAs based on Fourier transform near-infrared spectroscopy(FT-NIR). First, granules of Jianwei Xiaoshi Tablets with different properties were prepared using a partial factorial design method from the design of experiments(DOE). The powder properties of the granules were measured. An orthogonal partial least squares(OPLS) model was established to correlate the powder properties with tensile strength. Based on the characteristics of the comprehensive variables extracted by OPLS, the independent variables with the greatest explanatory power for tensile strength were identified. FT-NIR technology was then employed to establish a predictive model for the granule CMAs. The final CMAs identified were hygroscopicity, moisture content, D_(50), collapse angle, mass flow rate, and tapped density. The coefficients of determination of the prediction set(R■) and relative percentage deviation(RPD) of the prediction set for flowability, D_(50), and moisture content were 0.891, 0.994, and 0.998; and 2.97, 12.4, and 20.7, respectively. The established OPLS model clearly identified the impact of various factors on tensile strength, demonstrating good fit results. The model exhibited high prediction accuracy and can be used for the rapid and accurate determination of CMAs in granules of Jianwei Xiaoshi Tablets.
Drugs, Chinese Herbal/chemistry* ; Tablets/chemistry* ; Tensile Strength ; Quality Control ; Spectroscopy, Fourier Transform Infrared ; Spectroscopy, Near-Infrared