Transarterial radioembolization (TARE) is a widely utilized therapeutic approach for hepatocellular carcinoma (HCC), however, the clinical implementation is constrained by the stringent preparation conditions of radioembolization agents. Herein, we incorporated the superstable homogeneous iodinated formulation technology (SHIFT), simultaneously utilizing an enhanced solvent form in a carbon dioxide supercritical fluid environment, to encapsulate radionuclides (such as ¹³¹I,¹⁷⁷Lu, or ¹⁸F) with lipiodol for the preparation of radiolipiodol. The resulting radiolipiodol exhibited exceptional stability and ultra-high labeling efficiency (≥99%) and displayed notable intratumoral radionuclide retention and in vivo stability more than 2 weeks following locoregional injection in subcutaneous tumors in mice and orthotopic liver tumors in rats and rabbits. Given these encouraging findings, ¹⁸F was authorized as a radiotracer in radiolipiodol for clinical trials in HCC patients, and showed a favorable tumor accumulation, with a tumor-to-liver uptake ratio of ≥50 and minimal radionuclide leakage, confirming the feasibility of SHIFT for TARE applications. In the context of transforming from preclinical to clinical screening, the preparation of radiolipiodol by SHIFT represents an innovative physical strategy for radionuclide encapsulation. Hence, this work offers a reliable and efficient approach for TARE in HCC, showing considerable promise for clinical application (ChiCTR2400087731).

Objective:To analyze the causal relationship between circulating inflammatory proteins and the risk of liver cirrhosis by the two-sample Mendelian randomization (MR) method.Methods:Single nucleotide polymorphisms (SNP) strongly associated with 91 plasma inflammatory proteins in genome-wide association studies (GWAS) were used as instrumental variables, and liver cirrhosis was used as the outcome variable. Random-effects inverse variance-weighted (IVW), MR Egger regression, odds ratio ( OR) and its 95% confidence interval were used to evaluate the causal relationship. Simultaneously, sensitivity analysis was performed using MR pleiotropy residuals and outliers (MR-PRESSO) and the Q-test. Results:The causal relationship between the expression of seven specific circulating inflammatory proteins and liver cirrhosis was confirmed by the inverse variance-weighted (IVW) method. The results showed that five plasma inflammatory proteins, including leukemia inhibitory factor [ OR( CI)=0.66, P=9.73×10 -5], interleukin-18 [ OR( CI)=0.76, P=0.013], tumor necrosis factor ligand superfamily member 12[ OR( CI)=0.75, P=0.024], monocyte chemoattractant protein 2 [ OR( CI)=0.89, P=0.036], and C-C motif chemokine 25 [ OR( CI)=0.84, P=0.039], were negatively correlated with cirrhosis and were protective factors for cirrhosis. T cell surface glycoprotein CD5 [ OR ( CI)=1.29, P=0.035] and C-X-C motif chemokine 10 [ OR( CI)=1.32, P=0.043] were positively correlated with cirrhosis and were risk factors for cirrhosis. The results of the MR-PRESSO, Q-test, MR-Egger intercept test, and leave-one-out method all showed the stability. Conclusion:The research results indicated that the increased levels of leukemia inhibitory factor, interleukin-18, tumor necrosis factor ligand superfamily member 12, monocyte chemoattractant protein-2, and C-C motif chemokine 25 were protective factors in the development of cirrhosis, while the increased levels of T cell surface glycoprotein CD5 and C-X-C motif chemokine 10 were risk factors for the development of cirrhosis based on genetic data.

Objective:To analyze the causal relationship between circulating inflammatory proteins and the risk of liver cirrhosis by the two-sample Mendelian randomization (MR) method.Methods:Single nucleotide polymorphisms (SNP) strongly associated with 91 plasma inflammatory proteins in genome-wide association studies (GWAS) were used as instrumental variables, and liver cirrhosis was used as the outcome variable. Random-effects inverse variance-weighted (IVW), MR Egger regression, odds ratio ( OR) and its 95% confidence interval were used to evaluate the causal relationship. Simultaneously, sensitivity analysis was performed using MR pleiotropy residuals and outliers (MR-PRESSO) and the Q-test. Results:The causal relationship between the expression of seven specific circulating inflammatory proteins and liver cirrhosis was confirmed by the inverse variance-weighted (IVW) method. The results showed that five plasma inflammatory proteins, including leukemia inhibitory factor [ OR( CI)=0.66, P=9.73×10 -5], interleukin-18 [ OR( CI)=0.76, P=0.013], tumor necrosis factor ligand superfamily member 12[ OR( CI)=0.75, P=0.024], monocyte chemoattractant protein 2 [ OR( CI)=0.89, P=0.036], and C-C motif chemokine 25 [ OR( CI)=0.84, P=0.039], were negatively correlated with cirrhosis and were protective factors for cirrhosis. T cell surface glycoprotein CD5 [ OR ( CI)=1.29, P=0.035] and C-X-C motif chemokine 10 [ OR( CI)=1.32, P=0.043] were positively correlated with cirrhosis and were risk factors for cirrhosis. The results of the MR-PRESSO, Q-test, MR-Egger intercept test, and leave-one-out method all showed the stability. Conclusion:The research results indicated that the increased levels of leukemia inhibitory factor, interleukin-18, tumor necrosis factor ligand superfamily member 12, monocyte chemoattractant protein-2, and C-C motif chemokine 25 were protective factors in the development of cirrhosis, while the increased levels of T cell surface glycoprotein CD5 and C-X-C motif chemokine 10 were risk factors for the development of cirrhosis based on genetic data.

Objective To explore the effect of training mode based on action learning on improving the practicing ability of hospital pharmacists.Methods Thirty pharmacists who received training from September 2022 to December 2023 at Panzhihua Central Hospital were randomly divided into an education reform group(16 cases)and a routine group(14 cases).The education reform group adopted a routine teaching method based on action learning,while the routine group adopted a routine teaching method.The differences between the two groups of pharmacists in theoretical knowledge,practical operation,pharmaceutical services,emergency response,and comprehensive quality were compared.Results The pharmacists in the education reform group were better than the routine group in prescription review,clinical medication analysis,pharmaceutical services,emergency response,andcomprehensive quality.The difference was statistically significant(P＜0.05).Conclusion The teaching model based on action learning can effectively enhance the higher order thinking ability of pharmacists and help them better apply medical knowledge and skills to serve patients and physicians.

Hyperkalemia is one of the common ion metabolism disorders in clinical practice. Hyperkalemia is defined as serum potassium higher than 5.0 mmol/L according to the guidelines at home and abroad. Acute severe hyperkalemia can cause serious consequences, such as flaccid paralysis, fatal arrhythmia, and even cardiac arrest. The use of renin-angiotensin- aldosterone system inhibitors, β-blockers and diuretics, low-sodium and high-potassium diets, and the presence of related comorbidities increase the occurrence of hyperkalemia. Hyperkalemia risk exist in all clinical departments, but there is a lack of a standardization in the management of multi- department cooperation in hospital. Therefore, a number of domestic nephrology and cardiology department experts have discussed a management model for multi-department cooperation in hyperkalemia, formulating the management standard on hospital evaluation, early warning, diagnosis and treatment, and process. This can promote each department to more effectively participate in nosocomial hyperkalemia diagnosis and treatment, as well as the long-term management of chronic hyperkalemia, improving the quality of hyperkalemia management in hospital.

The early response of plant auxin gene family Aux/IAA (auxin/indole-3-acetic acid) and its interaction with auxin response factor (ARF) are important pattern to regulate plant growth and development. This work identified 28 StoIAA and 24 StoARF members based on the whole genome data of the medicinal plant Senna tora L., which were classified into 10 and 8 subfamilies, respectively. Phylogenetic tree and collinearity analysis showed that S. tora has close evolutionary relationship with the IAA and ARF homologous genes of Glycine max, Medicago truncatula, and the segment duplication events dominate the expansion of StoIAA and StoARF. Gene structure analysis showed that the vast majority of StoIAA and StoARF contain characteristic conserved domain. Transcriptome data showed that StoIAAs and StoARFs were expressed in leaves, roots and seeds, some members had tissue specific expression. The StoIAA and StoARF promoter region most contain functional elements related to stress response, growth and development, hormone induction and secondary metabolism. In addition, gene expression analysis showed that many StoIAAs and StoARFs can quickly respond to drought and salt stress and exhibited same expression patterns under both stress condition. The yeast two-hybrid experiment confirmed that StoARF8 and StoARF10 exhibit varying degrees of interaction with multiple StoIAA proteins, respectively. The above results provide a basis for further biological functional analysis of the Aux/IAA and ARF gene family of S. tora.

Slag is a typical metallurgical solid waste,mainly composed of magnesium oxide,iron oxide,alumina oxide and other metal oxides.The rapid quantitative analysis of slag components is helpful to determine the content of valuable elements or components in slag,and then choose a suitable resource utilization way to achieve efficient utilization and reduce environmental pollution.In this study,a quantitative analysis method of Fe,Si and Ti in slag was proposed based on laser induced breakdown spectroscopy(LIBS)combined with machine learning algorithm.Firstly,LIBS spectra of slag samples were collected,and the characteristic spectral lines of related elements were identified through the National Institute of Standards and Technology(NIST)database.Then,the influence of different spectral preprocessing methods on the predictive performance of PLS model was investigated,and the combined performance of spectral preprocessing methods was discussed.On this basis,a mixed variable selection algorithm combining variable importance in projection(VIP)and grey wolf algorithm(GWO)was proposed to screen LIBS spectral characteristic variables of slag samples.Based on cross-validation,the parameters,thresholds,input variables and model parameters of the preprocessing method and feature screening method were optimized.A quantitative analysis model of Fe,Si and Ti in slag based on LIBS technique was established based on the optimized parameters and input variables.The results showed that the optimized model had better prediction performance than the original spectral model,with R2p of 0.9525,0.9604 and 0.9972,and RMSEp of 0.0461,0.0141 and 0.1963,respectively.It was proved that LIBS combined with machine learning algorithm provided a feasible method for the field rapid detection of slag elements.The research is expected to provide some theoretical basis and technical reference for the resource utilization of metallurgical solid waste.

We conducted a prospective study to assess the non-inferiority of adjuvant chemotherapy alone versus adjuvant concurrent chemoradiotherapy (CCRT) as an alternative strategy for patients with early-stage (FIGO 2009 stage IB-IIA) cervical cancer having risk factors after surgery. The condition was assessed in terms of prognosis, adverse effects, and quality of life. This randomized trial involved nine centers across China. Eligible patients were randomized to receive adjuvant chemotherapy or CCRT after surgery. The primary end-point was progression-free survival (PFS). From December 2012 to December 2014, 337 patients were subjected to randomization. Final analysis included 329 patients, including 165 in the adjuvant chemotherapy group and 164 in the adjuvant CCRT group. The median follow-up was 72.1 months. The three-year PFS rates were both 91.9%, and the five-year OS was 90.6% versus 90.0% in adjuvant chemotherapy and CCRT groups, respectively. No significant differences were observed in the PFS or OS between groups. The adjusted HR for PFS was 0.854 (95% confidence interval 0.415-1.757; P = 0.667) favoring adjuvant chemotherapy, excluding the predefined non-inferiority boundary of 1.9. The chemotherapy group showed a tendency toward good quality of life. In comparison with post-operative adjuvant CCRT, adjuvant chemotherapy treatment showed non-inferior efficacy in patients with early-stage cervical cancer having pathological risk factors. Adjuvant chemotherapy alone is a favorable alternative post-operative treatment.
Female ; Humans ; Uterine Cervical Neoplasms/drug therapy* ; Prospective Studies ; Quality of Life ; Neoplasm Staging ; Chemoradiotherapy ; Chemotherapy, Adjuvant/adverse effects* ; Adjuvants, Immunologic ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Retrospective Studies

During coronavirus disease 2019 epidemic, the treatment of severe trauma has been impacted. The Consensus on emergency surgery and infection prevention and control for severe trauma patients with 2019 novel corona virus pneumonia was published online on February 12, 2020, providing a strong guidance for the emergency treatment of severe trauma and the self-protection of medical staffs in the early stage of the epidemic. With the Joint Prevention and Control Mechanism of the State Council renaming "novel coronavirus pneumonia" to "novel coronavirus infection" and the infection being managed with measures against class B infectious diseases since January 8, 2023, the consensus published in 2020 is no longer applicable to the emergency treatment of severe trauma in the new stage of epidemic prevention and control. In this context, led by the Chinese Traumatology Association, Chinese Trauma Surgeon Association, Trauma Medicine Branch of Chinese International Exchange and Promotive Association for Medical and Health Care, and Editorial Board of Chinese Journal of Traumatology, the Chinese expert consensus on emergency surgery for severe trauma and infection prevention during coronavirus disease 2019 epidemic ( version 2023) is formulated to ensure the effectiveness and safety in the treatment of severe trauma in the new stage. Based on the policy of the Joint Prevention and Control Mechanism of the State Council and by using evidence-based medical evidence as well as Delphi expert consultation and voting, 16 recommendations are put forward from the four aspects of the related definitions, infection prevention, preoperative assessment and preparation, emergency operation and postoperative management, hoping to provide a reference for severe trauma care in the new stage of the epidemic prevention and control.