Novel quinazolin-4(3H)-one based Cyclin K degraders regulate alternative polyadenylation activity.

Phenotypic screening is gaining attention as a powerful method for identifying compounds that regulate cellular phenotypes of interest through novel mechanisms of action. Recently, a new modality of compounds, called molecular glues, which can induce the degradation of target proteins by forming ternary complexes of E3 ligases, has emerged from phenotypic screening. In this study, using global proteomic analysis, we identified a novel Cyclin K degrader, T4, which was previously discovered through phenotypic screening for alternative polyadenylation regulation. Our detailed mechanistic analysis revealed that T4 induced Cyclin K degradation, leading to the regulation of alternative polyadenylation. Additionally, we generated a more potent Cyclin K degrader, TR-213, through a structure-activity relationship study of T4. T4 and TR-213 are structurally distinct from other Cyclin K degraders and can be used as novel chemical tools to further analyze the degradation of Cyclin K and the regulation of alternative polyadenylation.

Factors associated with employment status among mothers of survivors of childhood cancer: a cross-sectional study.

PURPOSE: To identify the factors associated with employment status among mothers of childhood cancer survivors (CCSs). METHODS: We conducted a questionnaire survey on mothers of survivors of childhood cancer to clarify practical factors such as care demands, psychological factors such as motivation to work, and support. After calculating descriptive statistics for all variables, binary logistic regression analysis was performed. RESULTS: Of 171 mothers, 129 (75.4%) were employed. The most common form of employment was non-regular (n = 83; 48.5%), including part-time, dispatched, and fixed-term workers. At the time of the survey, compared with nonworking mothers, working mothers tended to be more motivated to work and have lower scores for "Long-term Uncertainty" on the Parent Experience of Child Illness Scale. The results of the binary logistic regression analysis indicated that employment was related to higher motivation to work, the continuation of employment during treatment, more outpatient visits, and a higher amount of support. CONCLUSION: As employment of CCSs' mothers is associated with psychological factors such as motivation to work and long-term uncertainty, psychological support for CCSs' mothers might promote employment. In addition, because the continuation of employment during treatment affects the employment of mothers after the end of cancer treatment, a leave system that covers the treatment period for childhood cancer needs to be established.

Influence of Self-Efficacy on Cancer-Related Fatigue and Health-Related Quality of Life in Young Survivors of Childhood Cancer.

This study aims to elucidate how self-efficacy influences cancer-related fatigue and health-related quality of life (HRQoL) in young survivors of childhood cancer. Forty-six young survivors (age range, 8-18 years) of childhood cancer who were currently in complete remission completed measures for self-efficacy (Pediatric General Self-Efficacy Scale (PedsSE)), cancer-related fatigue (Cancer-related Fatigue Score (CRFS)), and HRQoL (Pediatric Quality of Life Inventory 4.0 Generic Core Scale, Pediatric Quality of Life Inventory (PedsQL)). Structural relationships between the PedsSE and CRFS or PedsQL, including the effects of potential demographic or clinical confounders, were examined by machine learning random forest algorithms and structural equation modeling. According to the distribution of the PedsQL, six survivors with PedsQL < 70 were determined to have compromised HRQoL (referred to as "low-PedsQL survivors"). The random forest model identified six variables for the prediction of the CRFS, with the PedsSE being the most important, and eight variables for the distinction of low-PedsQL survivors, with the CRFS being the most and the PedsSE the third most important variable. The structural equation model indicated that a direct influence of the PedsSE on the PedsQL was less detectable (ß = -0.049), whereas an indirect influence of the PedsSE on the PedsQL via the CRFS was evident (ß = 0.333). The model explained 51% of the variation of the CRFS and 28% of the variation of the PedsQL. The PedsSE was strongly correlated with "altered mood" in the subclass of the CRFS (r = -0.470), and "altered mood" was strongly correlated with the PedsQL (r = 0.737). In conclusion, self-efficacy is a major determinant of cancer-related fatigue and influences HRQoL via cancer-related fatigue in survivors of childhood cancer. The main pathway from self-efficacy to HRQoL is thought to be via the emotional aspect of cancer-related fatigue. However, unlike adult survivors of cancer, self-efficacy for young survivors may not contribute much to self-management behaviors that maintain HRQoL.

Quantitative comparison of the mRNA content of human iPSC-derived motor neurons and their extracellular vesicles.

Extracellular vesicles (EVs) contain various cargo molecules, including RNAs and proteins. EVs, which include exosomes, are predicted to be suitable surrogates of their source cells for liquid biopsy to measure biomarkers. Several studies have performed qualitative comparisons of cargo molecule repertoires between source cells and their EVs. However, quantitative comparisons have not been reported so far. Furthermore, many studies analyzed microRNAs or proteins in EVs, but not mRNAs. In this study, we analyzed mRNAs in motor neurons and their EVs. Normal human-induced pluripotent stem cells were differentiated into motor neurons, and comprehensive analysis of mRNAs in the cells and their EVs was performed by RNA sequencing. Differential analysis between cellular and EV mRNAs was performed by edgeR after normalization of read count. The results suggest that signatures in the abundance of EV mRNAs were different from those of cellular mRNAs. Comparison of intracellular vesicle and EV mRNA abundance showed negatively and positively biased genes in the EVs. Gene Ontology analysis revealed that the genes showing negatively biased abundance in the EVs were enriched in many functions regarding neuronal development. In contrast, the positively biased genes were enriched in functions regarding cellular metabolism and protein synthesis. These results suggest that mRNAs in motor neurons are loaded into EVs to regulate certain mechanisms, which are yet to be elucidated.

Synthetic mRNA-based differentiation method enables early detection of Parkinson's phenotypes in neurons derived from Gaucher disease-induced pluripotent stem cells.

Gaucher disease, the most prevalent metabolic storage disorder, is caused by mutations in the glucocerebrosidase gene GBA1, which lead to the accumulation of glucosylceramide (GlcCer) in affected cells. Gaucher disease type 1 (GD1), although defined as a nonneuronopathic subtype, is accompanied by an increased risk of Parkinson's disease. To gain insights into the association of progressive accumulation of GlcCer and the Parkinson's disease phenotypes, we generated dopaminergic (DA) neurons from induced pluripotent stem cells (iPSCs) derived from a GD1 patient and a healthy donor control, and measured GlcCer accumulation by liquid chromatography-mass spectrometry. We tested two DA neuron differentiation methods: a well-established method that mimics a step-wise developmental process from iPSCs to neural progenitor cells, and to DA neurons; and a synthetic mRNA-based method that overexpresses a transcription factor in iPSCs. GD1-specific accumulation of GlcCer was detected after 60 days of differentiation by the former method, whereas it was detected after only 10 days by the latter method. With this synthetic mRNA-based rapid differentiation method, we found that the metabolic defect in GD1 patient cells can be rescued by the overexpression of wild-type GBA1 or the treatment with an inhibitor for GlcCer synthesis. Furthermore, we detected the increased phosphorylation of α-synuclein, a biomarker for Parkinson's disease, in DA neurons derived from a GD1 patient, which was significantly decreased by the overexpression of wild-type GBA1. These results suggest that synthetic mRNA-based method accelerates the analyses of the pathological mechanisms of Parkinson's disease in GD1 patients and possibly facilitates drug discovery processes.

Changes in the Expression of Aquaporin-3 in the Gastrointestinal Tract Affect Drug Absorption.

Aquaporin-3 (AQP3) plays an important role in water transport in the gastrointestinal (GI) tract. In this study, we conducted a Caco-2 cell permeability assay to examine how changes in the expression and function of AQP3 affect the rate at which a drug is absorbed via passive transport in the GI tract. When the function of AQP3 was inhibited by mercuric chloride or phloretin, there was no change in warfarin permeability. In contrast, when the expression of AQP3 protein was decreased by prostaglandin E2 (PGE2) treatment, warfarin permeability increased to approximately twice the control level, and membrane fluidity increased by 15%. In addition, warfarin permeability increased to an extent comparable to that after PGE2 treatment when cell membrane fluidity was increased by 10% via boric acid/EDTA treatment. These findings suggest the possibility that the increased drug absorption under decreased AQP3 expression was attributable to increased membrane fluidity. The results of this study demonstrate that the rate of water transport has little effect on drug absorption. However, our findings also indicate that although AQP3 and other similar transmembrane proteins do not themselves transport drugs, changes in their expression levels can cause changes in cell membrane fluidity, thus affecting drug absorption rates.