PPP3CB Inhibits Cell Proliferation and the Warburg Effect in Bladder Cancer by Blocking PDHK1.

BACKGROUND: Cancer treatment has recently shifted towards metabolic approaches aimed at enhancing therapeutic efficacy. Somewhat surprisingly, a known regulator of energy metabolism in normal tissues, PPP3CB, is down-regulated in bladder cancer. This suggests that PPP3CB could exert an inhibitory effect on bladder cancer through its role in energy metabolism. METHODS: To explore the above hypothesis, we employed non-targeted metabolism screening in bladder cancer cells with knockdown of PPP3CB. Glucose uptake and lactate production were carefully measured using specialized assay kits for glucose/lactic acid content. Western blot analysis was also used to evaluate the expression levels of pyruvate dehydrogenase kinase 1 (PDHK1) and p-PDHA1 in cells with PPP3CB knockdown. To substantiate the findings, co-immunoprecipitation (co-IP) experiments were performed to validate the interaction between PPP3CB and PDHK1. Various in vitro assays were also performed, including clone formation assay and Cell Counting Kit-8 (CCK8) viability assays. The in vivo anti-tumor potential of PPP3CB in bladder cancer was also studied using a nude mouse tumorigenesis model. RESULTS: Significant down-regulation of PPP3CB was observed in bladder tumors, and potent anti-tumor effects of PPP3CB were observed in vitro. Investigation of the underlying mechanism by which PPP3CB hampers glycolysis in bladder cancer cells revealed that it interacted with PDHK1 to inhibit its protein stabilization. PDHK1 thus appears to be a crucial mediator through which PPP3CB exerts its inhibitory effects on bladder cancer cells. CONCLUSIONS: In summary, PPP3CB exerts strong inhibitory influences on bladder cancer cell proliferation and glycolysis via its destabilization of PDHK1. These results highlight the potential of PPP3CB as a novel regulator of the Warburg effect. Interestingly, the downregulation of PPP3CB in bladder cancer cells increases the Warburg effect, thereby generating more lactic acid and reshaping the tumor microenvironment so as to promote tumor cell proliferation.

Factors Involved in Decision-Making Dilemmas Faced by Parents of Children with Severe Asthma in PICU During the Development of Discharge Care Plans: A Phenomenological Study.

Purpose: This study aims to explore the complicated decision-making dilemma and challenges confronted by parents of children suffering from severe asthma within the Pediatric Intensive Care Unit (PICU) when participating in the development of their children's discharge care plans. Patients and Methods: Employing a phenomenological methodology, a purposive sampling was performed to engage with 17 parents who participated in in-depth and semi-structured interviews between October 2022 and February 2023. The transcripts of these interviews were transcribed into textual data, which was then subjected to Colaizzi's seven-step analysis for meticulous coding and comprehensive thematic elucidation. Results: The comprehensive analysis of the factors involved in the intricate decision-making dilemmas faced by parents of children with severe asthma during the process of crafting discharge care plans in the PICU revealed five themes and eight sub-themes: 1) Complexity of asthma-related information; 2) Insufficient provision of comprehensive decision-making support; 3) Encountering negative emotions and wavering confidence; 4) Navigating realistic constraints impacting both parents and HCPs; 5) Balancing the advantages and disadvantages of various plans. Conclusion: Parents of children with severe asthma in the PICU encounter intricate and multifaceted decision-making dilemmas while engaging in the formulation of discharge care plans. These complexities significantly dampen their decision-making enthusiasm and introduce potential risks to the children's prognosis and recovery. In the future, it is imperative to leverage the guidance provided by healthcare professionals (HCPs) in the decision-making process, develop tailored decision support tools specifically designed for the formulation of discharge care plans for children with severe asthma in the PICU.

PKMYT1, exacerbating the progression of clear cell renal cell carcinoma, is implied as a biomarker for the diagnosis and prognosis.

Clear cell renal cell carcinoma (ccRCC) is one of the most lethal urological malignancies with high tumor heterogeneity, and reliable biomarkers are still needed for its diagnosis and prognosis. WEE family kinases function as key regulators of the G2/M transition, have essential roles in maintaining cellular genomic stability and have the potential to be promising therapeutic targets in various tumors. However, the roles of WEE family kinases in ccRCC remain undetermined. In the present study, we first explored multiple public datasets and found that PKMYT1 was up-regulated in both RCC tumors and cell lines. Expression levels of PKMYT1 were highly associated with pathological stage and grade. Kaplan-Meier curves showed that high PKMYT1 expression was associated with lower overall survival and disease-free survival. Receiver operating characteristic curves revealed that the expression of PKMYT1 could better distinguish ccRCC from normal samples. Functional enrichment analysis demonstrated that cell cycle- related pathways and epithelial to mesenchymal transition (EMT) might be potential mechanisms of PKMYT1 in ccRCC tumorigenesis. Moreover, knockdown of PKMYT1 in vitro attenuated the proliferation, migration and invasion of RCC cell lines, promoted cell apoptosis and prevented the EMT phenotype in vitro. In conclusion, our study demonstrated that PKMYT1 has the potential to act as a diagnostic and prognostic biomarker for RCC patients. Targeting PKMYT1 may be considered as a new potential therapeutic method and direction in RCCs.

m6A Regulator-Mediated Methylation Modification Patterns and Characteristics of Immunity in Blood Leukocytes of COVID-19 Patients.

Both RNA N6-methyladenosine (m6A) modification of SARS-CoV-2 and immune characteristics of the human body have been reported to play an important role in COVID-19, but how the m6A methylation modification of leukocytes responds to the virus infection remains unknown. Based on the RNA-seq of 126 samples from the GEO database, we disclosed that there is a remarkably higher m6A modification level of blood leukocytes in patients with COVID-19 compared to patients without COVID-19, and this difference was related to CD4+ T cells. Two clusters were identified by unsupervised clustering, m6A cluster A characterized by T cell activation had a higher prognosis than m6A cluster B. Elevated metabolism level, blockage of the immune checkpoint, and lower level of m6A score were observed in m6A cluster B. A protective model was constructed based on nine selected genes and it exhibited an excellent predictive value in COVID-19. Further analysis revealed that the protective score was positively correlated to HFD45 and ventilator-free days, while negatively correlated to SOFA score, APACHE-II score, and crp. Our works systematically depicted a complicated correlation between m6A methylation modification and host lymphocytes in patients infected with SARS-CoV-2 and provided a well-performing model to predict the patients' outcomes.

ID1 As a Prognostic Biomarker and Promising Drug Target Plays a Pivotal Role in Deterioration of Clear Cell Renal Cell Carcinoma.

Clear cell renal cell carcinoma (ccRCC) is one of the most common cancers in the world. Our aim is to identify prognostic biomarkers that contribute to the progression of early stage ccRCC and clarify the mechanism. Here, the mRNA microarray expression profile of ccRCC samples was obtained from Gene Expression Omnibus (GEO) (GSE68417). 62 differentially expressed genes (DEGs) were gained by R Studio, including 31 upregulated genes and 31 downregulated genes. Pathway enrichment analysis was performed in DAVID database. Then, the protein-protein interaction network was obtained through STRING database and visualized by Cytoscape. Subsequently, among the network, only inhibitor of DNA Binding 1 (ID1) was significant between low-grade and high-grade ccRCC patients in TCGA data set. After analysis of the corresponding clinical information in R Studio, it is shown that low ID1 expression correlated with poor survival, high probability of tumor metastasis, and relatively high serum calcium. Later, functional enrichment of ID1 in GeneMANIA uncovered that regulating DNA binding is a main characteristic of ID1 in ccRCC, which was validated by Kaplan-Meier curve of ID1 associated genes using KM plotter database and R Studio. Immune infiltration analysis performed by Tumor Immune Estimation Resource (TIMER) revealed that CD8+ T cells and macrophages were prognostic factors. Furthermore, Valproic acid was analyzed to be the most convinced target drug of ID1 identified by Comparative Toxicogenomics Database (CTD). Taken together, ID1, a biomarker of clinical outcome in early stage ccRCC patients, has the potential function of preventing deterioration in ccRCC progression and metastasis.