OBJECTIVE To formulate the Expert Consensus on the Implementation and Management of Drug Selection for Centralized Volume-Based Procurement in Medical Institutions of Guangxi （hereinafter referred to as the “ Consensus ”）， and to provide decision-making support and practical guidance for the drug selection and management of centralized volume-based procurement （hereinafter referred to as “centralized procurement”） drugs in medical institutions at all levels in Guangxi. METHODS A systematic review was conducted on the materials from previous batches of centralized procurement implemented in Guangxi. A comprehensive search was carried out for drug-related works and books， along with a systematic collation of guidelines on drug selection， expert consensus on centralized procurement， and policy documents. Through three rounds of specialized seminars， combined with existing evidence-based data and the practical drug selection experiences of medical institutions at various levels， this Consensus was formulated after thorough discussion and successive rounds of revision. RESULTS & CONCLUSIONS The Consensus systematically outlines the three key stages in the implementation of centralized procurement in medical institutions： procurement volume reporting， confirmation of agreed procurement volume， and procurement and usage implementation. It proposes drug selection strategies for centralized procurement bas ed on multiple dimensions， including specifications， dosage forms， packaging materials， fill volume， and manufacturing enterprises. In response to practical challenges encountered in the selection process， corresponding countermeasures are proposed， such as establishing a regularized information reserve mechanism， strengthening information technology support， and implementing categorized selection approaches. The Consensus advocates for medical institutions to construct an integrated “policy， data， and quality” decision-making system to promote full-cycle management of centralized procurement. This Consensus will provide scientific and practical guidance for medical institutions at all levels in Guangxi in the drug selection of centralized procurement， facilitating the smooth implementation and sustainable development of centralized procurement policies at the institutional level.

Objective To explore the effects of exosomes loaded with ginsenoside Rh2 on the biological functions of hepatocellular carcinoma cells. Methods Both Huh7 and PLC/PRF/5 cell were equally divided into control group, exosome group (Exos group), drug group (G-Rh2 group), and exosomes-loaded-with-ginsenoside Rh2 group (Exos@G-Rh2 group). The effects of each group on the viability, clonogenic ability, migration ability, invasion ability, and apoptotic level of hepatocellular carcinoma cells were detected through CCK-8 assay, colony formation assay, cell scratch assay, Transwell assay, and flow cytometry. Results Compared with the control group, the Exos@G-Rh2 group and G-Rh2 group showed significantly decreased cell viability, clonogenic ability, and migration and invasion capabilities, along with a markedly increased cell apoptosis rate (P<0.05). These changes were more pronounced in the Exos@G-Rh2 group than in the G-Rh2 group (P<0.05). Conclusion Exos@G-Rh2 can effectively inhibit the viability and clonogenic, migration, and invasion abilities of liver cancer cells and induce cell apoptosis. This effect is stronger than that of free G-Rh2 at the same concentration.

BACKGROUND: Cluster of differentiation 8 positive (CD8 + ) T cells play a crucial role in the response against tumors, including hepatocellular carcinoma (HCC), where their dysfunction is commonly observed. While the association between elevated peroxisome proliferator-activated receptor alpha (PPARα) expression in HCC cells and exosomes and unfavorable prognosis in HCC patients is well-established, the underlying biological mechanisms by which PPARα induces CD8 + T cell exhaustion mediated by HCC exosomes remain poorly understood. METHODS: Bioinformatics analyses and dual-luciferase reporter assays were used to investigate the regulation of microRNA-27b-3p ( miR-27b-3p ) and thymocyte selection-associated high mobility group box ( Tox ) by Pparα . In vitro and in vivo experiments were conducted to validate the effects of HCC-derived exosomes, miR-27b-3p overexpression, and Pparα on T cell function. Exosome characterization was confirmed using transmission electron microscopy, Western blotting, and particle size analysis. Exosome tracing was performed using small animal in vivo imaging and confocal microscopy. The expression levels of miR-27b-3p , Pparα , and T cell exhaustion-related molecules ( Tox , Havcr2 , and Pdcd1 ) were detected using quantitative reverse transcription polymerase chain reaction analysis, Western blotting analysis, immunofluorescence staining, and flow cytometry analysis. RESULTS: Pparα expression was significantly increased in HCC and negatively correlated with prognosis. It showed a positive correlation with Tox and a negative correlation with miR-27b-3p . The overexpressed Pparα from HCC cells was delivered to CD8 + T cells via exosomes, which absorbed miR-27b-3p both in vitro and in vivo , acting as "miRNA sponges". Further experiments demonstrated that Pparα can inhibit the negative regulation of Tox mediated by miR-27b-3p through binding to its 3'untranslated regions. CONCLUSIONS HCC-derived exosomes deliver Pparα to T cells and promote CD8 + T cell exhaustion and malignant progression of HCC via the miR-27b-3p /TOX regulatory axis. The mechanisms underlying T-cell exhaustion in HCC can be utilized for the advancement of anticancer therapies.
MicroRNAs/metabolism* ; PPAR alpha/genetics* ; Carcinoma, Hepatocellular/genetics* ; Humans ; Liver Neoplasms/genetics* ; CD8-Positive T-Lymphocytes/immunology* ; Exosomes/metabolism* ; Animals ; Cell Line, Tumor ; Mice ; High Mobility Group Proteins/genetics* ; Male ; T-Cell Exhaustion

Objective Starting from the actual numbers of health personnel of tertiary public hospitals of Traditional Chinese Medicine(TCM),to quantitatively analyze the influencing factors on the allocation of human resources and obtain a prediction model.Methods The balanced panel data from 517 Tertiary Public TCM Hospitals in the period of 2011-2020 were collected,and the two-way fixed effects model was used to empirically analyze the impact of scale,demand and other factors on the actual number of health personnel in these hospitals.Result The number of beds is a key factor affecting the human resource allocation of Public TCM Hospitals,and various factors such as de-mand,policy,price,efficiency,and administrative management also have significant impacts on the allocation.The demand for outpatient services,government financial support,and efficiency of resource utilization are all promoting factors,while the increase in human resource prices,income generation efficiency,and administrative manage-ment levels have negative effects.A prediction model is proposed.Conclusion The planning principle of matching bed numbers with human resources allocation is in line with the actual environment.When predicting the total personnel allocation or authorized strength,various factors should also be fully considered,which can provide reference for the formulation of human resource policies in Public TCM Hospitals.

Objective:To explore the predictive value of different critical values of slow gait speed on adverse outcomes in elderly maintenance hemodialysis (MHD) patients.Methods:The study was a prospective cohort study. The clinical data of elderly patients (≥ 60 years old) who received MHD treatment in the Third Affiliated Hospital of Guangzhou Medical University from March 1 to June 30, 2021 were collected, including demographic characteristics, diseases-related data and laboratory examination results. The follow-up period was one year. The six-meter walking test was used to measure the gait speed (m/s), and 0.6 m/s, 0.8 m/s and 1.0 m/s were used as the different critical values of the gait speed for grouping. The differences of clinical data between different groups were compared. Logistic regression analysis method was used to assess the association of slow gait speed with adverse outcomes (falls and hospitalization) in elderly MHD patients. The receiver operating characteristic (ROC) curve was performed to evaluate the best critical value of slow gait speed to predict the risk of falls and hospitalization.Results:A total of 108 elderly patients with MHD were included, with 57 males and 51 females. There were 43 patients (39.8%) of falls and 34 patients (31.5%) of hospitalization. There were statistically significant differences in age, Charlson's comorbidity index, and the proportions of hypertension, family support needed in daily life, walking aids needed, falls and hospitalization events among the four groups of the patients grouped according to gait speed (all P < 0.05). Multivariate logistic regression analysis results showed that the risk of falls predicted by gait speed of 0.6- < 0.8 m/s was higher than that by gait speed of > 1.0 m/s ( OR=3.973, 95% CI 1.116-14.136, P=0.033). The risk of hospitalization predicted by gait speed < 0.6 m/s was higher than that by gait speed > 1.0 m/s ( OR=9.147, 95% CI 1.658-50.453, P=0.011). The logistic regression analysis was performed with the critical values of 0.6 m/s, 0.8 m/s and 1.0 m/s as the classification variables, and the results showed that the gait speed of < 0.8 m/s was an influencing factor of the falls risk in elderly MHD patients (≥ 0.8 m/s as reference, OR=3.200, 95% CI 1.099-9.318, P=0.033). The gait speed < 0.8 m/s and < 0.6 m/s were influencing factors of hospitalization (≥ 0.8 m/s as reference, OR=3.899, 95% CI 1.355-11.216, P=0.012; ≥ 0.6 m/s as reference, OR=4.226, 95% CI 1.107-16.140, P=0.035). The area under the ROC curve for gait speed of < 0.6 m/s, < 0.8 m/s and < 1.0 m/s to predict the risk of falls were 0.605(95% CI 0.493-0.717, P=0.065), 0.668(95% CI 0.562-0.774, P=0.003), and 0.634 (95% CI 0.529-0.739, P=0.019), respectively. The best critical value of slow gait speed to predict the risk of fall was 0.73 m/s, and the area under the ROC curve was 0.720(95% CI 0.623-0.817, P < 0.001), with the sensitivity and specificity of 0.846 and 0.512, respectively. The area under the ROC curve for gait speed of < 0.6 m/s, < 0.8 m/s and < 1.0 m/s to predict the risk of hospitalization were 0.629(95% CI 0.509-0.749, P=0.032),0.683(95% CI 0.573-0.793, P=0.002), and 0.608(95% CI 0.497- 0.719, P=0.073). The best critical value of slow gait speed to predict the risk of hospitalization was 0.81 m/s, and the area under the ROC curve was 0.688(95% CI 0.576-0.800, P=0.002), with the sensitivity and specificity of 0.689 and 0.676, respectively. Conclusion:The critical value of gait speed 0.8 m/s can be used to predict the risk of falls and hospitalization in elderly MHD patients.

Undergraduates in colleges and universities have great academic potential. In order to cultivate undergraduate innovative scientific research talents, the key is to improve the cultivation mode of undergraduates and stimulate students' academic potential. Taking the evidence-based medicine research group of Guangdong Medical University as an example, this paper systematically analyzes the specific measures and relevant practical experiences of the research team in the cultivation of undergraduates. The research team creatively uses the methods of "student guidance system", "PBL" mode and real-time feedback mechanism, and a complete talent training system has formed to explore a group of excellent undergraduate talents. Through innovative scientific research training, these undergraduates have made many achievements in academic research. This paper hopes these strategies and experiences can provide some reference for the cultivation of undergraduates in colleges and universities all over the country.

OBJECTIVE: To explore the bidirectional regulation of acupuncture based on a subgroup analysis of multicenter randomized controlled trial of acupuncture with METHODS: A total of 519 patients were included in the analysis, including 137 patients with constipation type irritable bowel syndrome (IBS-C) (92 cases in the acupuncture group and 45 cases in the polyethylene glycol [PEG] group), and 382 patients with diarrhea type irritable bowel syndrome (IBS-D) (252 cases in the acupuncture group and 130 cases in the pinaverium group). The patients in the acupuncture group were given acupuncture at Baihui (GV 20), Yintang (GV 29), Tianshu (ST 25), Shangjuxu (ST 37), Zusanli (ST 36), Sanyinjiao (SP 6) and Taichong (LR 3) once every other day, 3 times a week. The patients in the PEG group received polyethylene glycol 4000 powder orally, and the pinaverium group received pinaverium bromide tablets orally. All were treated for 6 weeks. The IBS symptom severity score (IBS-SSS) was assessed at baseline, treatment period (2, 4, 6 weeks of treatment) and 12 weeks of follow-up, and the IBS quality of life (IBS-QOL) score was evaluated at the baseline period, 6 weeks of treatment and 12 weeks of follow-up. RESULTS: The total IBS-SSS scores of the two groups of IBS-C patients at 2, 4, 6 weeks of treatment and follow-up of 12 weeks were lower than those in the baseline period ( CONCLUSION Acupuncture with
Acupuncture Points ; Acupuncture Therapy ; Diarrhea ; Humans ; Irritable Bowel Syndrome/therapy* ; Quality of Life ; Treatment Outcome

Hepatic failure is one of serious complications after hepatectomy. The individual′s preoperative physical health status, laboratory indicators, liver diseases, surgical factors, portal hypertension, and drug factors are all risk factors for hepatic failure. The author summarizes the risk factors for post hepatectomy liver failure(PHLF), analyzes the existing liver function scoring models, proposes the perioperative management strategy for patients undergoing hepatectomy according to the score index, so as to reduce the incidence of PHLF, improve the prognosis and long-term survival of patients.

Objective To investigate a potential radiation biodosimetry based on multiple gene expressions.Methods Human peripheral blood were exposed to 60Co γ-rays at doses from 0 to 8 Gy.The mRNA expression levels of 10 selected genes were detected 6 and 12 h after irradiation by RT-PCR.Individual variation was also examined.An optimal mathematical model of the dose response of these gene expression levels at each time point was obtained by the stepwise regression method.A blind test was conducted to validate the statistical accuracy of dose estimation.Results The 10 selected genes expression levels at each time point were significantly increased along with dose from 0.5 to 8 Gy (R2 =0.61-0.97,P ＜ 0.05).Individual variations were evident in the gene expressions of TNFSF4,PHPT1 and FDXR.The gene expression levels of PCNA,CCNG1,TNFSF4,PHPT1,GADD45A and FDXR were incorporated into the model at 6 h after exposure (R2 =0.88,F =54.8,P ＜ 0.001);the gene expression levels of PCNA,CCNG1,TNFSF4,MDM2,GDF15 and TNFRSF10B were included in the model at 12 h after irradiation (R2 =0.82,F =42.767,P ＜ 0.001).These two statistical models can be utilized for the dose estimation accurately.Conclusions The multiple gene expressions have a potential as a radiation biodosimetry.