[ ABSTRACT] AIM:To investigate the effects of pathological products, urinary proteins and advanced glycosyla-tion end products ( AGE) produced in the progression of chronic kidney disease ( CKD) , on the structure and function of lysosomes in renal tubular epithelial cells ( TECs ) , and try to find a novel approach for preventing or delaying CKD. METHODS:The renal specimens of the untreated patients with minimal change nephrotic syndrome (MCNS), diabetic nephropathy (DN) or normal kidney were collected.The expression of lysosomal-associated membrane protein 1 (LAMP1) and cathepsin B ( CB) was studied in TECs by indirect immunofluorescent staining.Human renal tubular epithelial cell line HK-2 was incubated with 8 g/L urinary proteins or 100 mg/L AGE.The expression of LAMP1 and CB was investigated by indirect immunofluorescence and the activity of CB and cathepsin L ( CL) was measured by biochemical and enzymatic as-says.The degradation of DQ-ovalbumin was also determined.RESULTS: The lysosomal membrane permeabilization oc-curred in the TECs of MCNS and DN patients.After treatment with urinary proteins or AGE-BSA, the lysosomal membrane permeabilization of the HK-2 cells was increased.The activity of CB and CL and degradation of DQ-ovalbumin were de-creased as compared with normal control group.CONCLUSION:The digestive function of lysosome was decreased and ly-sosomal membrane permeabilization occurred in the TECs exposed to urinary proteins and AGE, which might be a key factor to induce the tubulointerstitial fibrosis.

Objective:To explore the needs of nurses participating in acute ischemic stroke (AIS) intravenous thrombolysis to optimize the AIS intravenous thrombolysis nursing model.Methods:This research adopted phenomenological research method. Objective sampling method was used to interview 15 nurses from 5 designated hospitals for stroke treatment in Shenzhen from June to July 2020, and the data were analyzed by the Colaizzi content analysis method.Results:The needs of nurses for optimizing the AIS intravenous thrombolysis nursing model could be summarized into five themes: the need to configure stroke emergency nurses, the need to standardize the training for stroke nursing staff, the need to build an intelligent information platform for AIS treatment, the need to optimize the green channel for stroke, and the need to improve the quality control system of AIS intravenous thrombolysis.Conclusions:It is necessary to configure stroke emergency nurses, standardize stroke nursing related training, and build an intelligent information platform for AIS treatment to optimize the AIS intravenous thrombolysis nursing model.

Objective To investigate the clinical value of extracellular volume(ECV)based on CT delayed phase in combination with pathologic indicators in predicting early recurrence of gastric mesenchymal tumors after surgery.Methods A retrospective case-control trial was conducted on the imaging,clinical and pathological data of 110 patients with gastric mesenchymal tumors who were surgically resected at the First Affiliated Hospital of Army Medical University from January 2011 to August 2022.They were 60 males and 50 females,at a mean age of 58±10 years.All of them received preoperative multiphase dynamic CT enhancement examination of the abdomen,and ECV value was calculated with the formula:ECV=(1-hematocrit)×(△HU tumor/△HU aorta).According to the postoperative recurrence within 24 months after surgery,they were divided into early recurrence group and non early recurrence group.Statistical indexes:① Consistency analysis.② The factors affecting early recurrence after resection of gastric mesenchymal stromal tumors were analyzed and a prediction model was conducted.Delong test was used to assess the predictive value of the model.Then a nomogram was plotted based on the combines model,and calibration curves were drawn to assess the efficacy of the column charts,and decision curve analysis(DCA)was adopted to assess the value of the model for clinical application.Results ① Consistency analysis.After 2 radiologists outlined the region of interest and obtained ECV value according to the above formula,The intraclass correlation coefficient(ICC)was 0.806.② For the 110 subjected patients,21 cases of them had early recurrence,and 89 one did not.Multivariate analysis showed that ECV value,risk degree,and tumor length were independent influencing factors for predicting early recurrence.Receiver operating characteristic(ROC)curve analysis indicated that the area under the curve(AUC)value of ECV,hazard degree,and tumor length diameter in predicting early recurrence was 0.838(95％CI 0.758～0.918),0.774(95％CI 0.656～0.892),and 0.700(95％CI 0.589～0.810),respectively,and the value of their combined model was 0.899(95％CI 0.811～0.987),which was higher than that of each independent model.The sensitivity and specificity of the combined model was 85.71％and 86.52％,respectively,and the optimal cutoff value was 0.19.Delong test revealed that there was statistical difference between the combined model and the clinical model established by the hazard level(Z=6.548,P＜0.001,95％CI 0.140～0.259).Calibration curve analysis suggested that the combined model had a better fit,and DCA displayed that the combined model had a better net benefit.Conclusion The model established by ECV combined with pathological indicators has good predictive performance and can be used as a more effective predictor of early recurrence of gastric mesenchymal tumors after surgery.

Flowering is a critical transitional stage during plant growth and development, and is closely related to seed production and crop yield. The flowering transition is regulated by complex genetic networks, whereas many flowering-related genes generate multiple transcripts through alternative splicing to regulate flowering time. This paper summarizes the molecular mechanisms of alternative splicing in regulating plant flowering from several perspectives, future research directions are also envisioned.
Alternative Splicing/genetics* ; Arabidopsis/metabolism* ; Arabidopsis Proteins/genetics* ; Flowers/genetics*

Cultivating salt-alkali tolerant rice varieties is one of the important ways to meet the increasing food demand of growing global population. In this study, twenty-one rice germplasms with different salt-alkali tolerance were treated with six salt-alkali concentrations at germination and seedling stages. The germination potential, germination rate, shoot length, root length, root number, fresh weight of shoot and seedlings were measured. The average value of salt damage rate was used to evaluate the salt-alkali tolerance. As the salt-alkali concentration increases, the inhibition on seed germination and growth became more obvious. Upon treatment with 1% NaCl plus 0.25% NaHCO₃, the salt damage rate of germination rate has the largest variation, ranging from 0% to 89.80%. The salt damage rate of each trait shows a similar trend at all concentrations. Four germplasm resources with strong salt-alkali tolerance (Dajiugu, Nippobare, Mowanggu and 02428) and 7 sensitive germplasms were screened. The salt-tolerant gene sequence of 4 salt-alkali tolerant varieties and 3 sensitive germplasms were analyzed. OSHAL3 and OsRR22 were identical among the 7 germplasms, but SKC1 and DST showed clear variations between the salt-alkali tolerant and sensitive germplasms. Besides the salt-alkali tolerant germplasm resources, this study can also serve as a reference for mining of genes involved in salt-alkali tolerance and breeding of salt-alkali tolerant rice varieties.
Alkalies ; Germination ; Oryza/genetics* ; Plant Breeding ; Seedlings/genetics*

Metformin is currently a strong candidate anti-tumor agent in multiple cancers. However, its anti-tumor effectiveness varies among different cancers or subpopulations, potentially due to tumor heterogeneity. It thus remains unclear which hepatocellular carcinoma (HCC) patient subpopulation(s) can benefit from metformin treatment. Here, through a genome-wide CRISPR-Cas9-based knockout screen, we find that DOCK1 levels determine the anti-tumor effects of metformin and that DOCK1 is a synthetic lethal target of metformin in HCC. Mechanistically, metformin promotes DOCK1 phosphorylation, which activates RAC1 to facilitate cell survival, leading to metformin resistance. The DOCK1-selective inhibitor, TBOPP, potentiates anti-tumor activity by metformin in vitro in liver cancer cell lines and patient-derived HCC organoids, and in vivo in xenografted liver cancer cells and immunocompetent mouse liver cancer models. Notably, metformin improves overall survival of HCC patients with low DOCK1 levels but not among patients with high DOCK1 expression. This study shows that metformin effectiveness depends on DOCK1 levels and that combining metformin with DOCK1 inhibition may provide a promising personalized therapeutic strategy for metformin-resistant HCC patients.
Animals ; Antineoplastic Agents/therapeutic use* ; Carcinoma, Hepatocellular/metabolism* ; Cell Line, Tumor ; Clustered Regularly Interspaced Short Palindromic Repeats ; Genome ; Humans ; Liver Neoplasms/metabolism* ; Metformin/therapeutic use* ; Mice ; Phosphorylation ; Synthetic Lethal Mutations ; Transcription Factors/metabolism* ; rac GTP-Binding Proteins/metabolism*