MpR2R3-MYB2 is a key regulator of oil body formation in Marchantia polymorpha.

MAIN CONCLUSION: MpMYB02, a regulator of marchantin accumulation, also acts as a key regulator of oil body formation. MpMYB02 induces the expression of MpSYP12B and promotes oil body formation, subsequently leading to marchantin accumulation. The oil body observed in Marchantia polymorpha is a cellular organelle surrounded by a unit membrane, accumulating various secondary metabolites such as marchantins and terpenes. We observed that oil body formation is regulated by MpMYB02, a key regulator of marchantin accumulation. In the Mpmyb02 mutant, no oil bodies were observed, although idioblast-like cells were present in the gemma. We introduced MpMYB02-glucocorticoid receptor (GR), a steroid-inducible transcriptional activator, into Mpmyb02 and assessed the effect of dexamethasone (DEX) on oil body formation. Following DEX treatment, transformed liverworts began forming oil bodies within 12 h. During the initial stages of oil body development, we observed the aggregation of small globular structures. DEX treatment upregulated several genes implicated in oil body formation, including MpSYP12B. Our findings underscore that MpMYB02 plays a crucial role not only in marchantin accumulation but also in oil body formation.

Psychometric Properties of the Fall Risk Perception Questionnaire-Short Version for Inpatients in Acute Care Hospitals

Purpose@#Patients’ perception of fall risk is a promising new indicator for fall prevention. Therefore, a fall risk perception questionnaire that can be used rapidly and repeatedly in acute care settings is required. This study aimed to develop a short version of the fall risk perception questionnaire (Short-FRPQ) for inpatients. @*Methods@#For the psychometric measurements, 246 inpatients were recruited from an acute care hospital. The construct (using confirmatory factor analysis and discriminant validity of each item), convergent, and known-group validities were tested to determine the validity of the Short-FRPQ. McDonald’s omega coefficient was used to examine the internal consistency of reliability. @*Results@#In the confirmatory factor analysis, the fit indices of the Short-FRPQ, comprising 14 items and three factors, appeared to be satisfactory. The Short-FRPQ had a significantly positive correlation with the original scale, the Korean Falls Efficacy Scale-International, and the Morse Fall Scale. The risk of falls group, assessed using the Morse Fall Scale, had a higher score on the Short-FRPQ. McDonald’s omega coefficient was .90. @*Conclusion@#The Short-FRPQ presents good reliability and validity. As patient participation is essential in fall interventions, evaluating the fall risk perception of inpatients quickly and repeatedly using scales of acceptable validity and reliability is necessary.

Predictive Value of Electromechanical Window for Risk of Fatal Ventricular Arrhythmia

Background@#As an indicator of electro-mechanical coupling, electromechanical window (EMW) can be used to predict fatal ventricular arrhythmias. We investigated the additive effect of EMW on the prediction of fatal ventricular arrhythmias in high-risk patients. @*Methods@#We included patients who had implantable cardioverter-defibrillator (ICD) implanted for primary or secondary prevention. The event group was defined as those who received an appropriate ICD therapy. We acquired echocardiograms at ICD implantation and follow-up. The EMW was calculated as the difference between the interval from QRS onset to aortic valve closure and QT interval from the electrocardiogram embedded in the continuous wave doppler image. We evaluated the predictive value of EMW for predicting fatal ventricular arrhythmia. @*Results@#Of 245 patients (67.2 ± 12.8 years, 63.7% men), the event group was 20.0%. EMW at baseline (EMW-Baseline) and follow-up (EMW-FU) was significantly different between event and control groups. After adjustment, both EMW-Baseline (odds ratio [OR]adjust 1.02 [1.01– 1.03], P = 0.004) and EMW-FU (ORadjust 1.06 [1.04–1.07], P < 0.001) remained as significant predictors for fatal arrhythmic events. Adding EMW-Baseline significantly improved the discriminating ability of the multivariable model including clinical variables (area under the curve [AUC] 0.77 [0.70–0.84] vs. AUC 0.72 [0.64–0.80], P = 0.004), while a univariable model using EMW-FU alone showed the best performance among models (AUC 0.87 [0.81– 0.94], P = 0.060 against model with clinical variables; P = 0.030 against model with clinical variables and EMW-Baseline). @*Conclusion@#The EMW could effectively predict severe ventricular arrhythmia in ICD implanted patients. This finding supports the importance of incorporating the electro-mechanical coupling index into the clinical practice for predicting future fatal arrhythmia events.

A Long Journey to the Truth: Primary Cardiac Lymphoma with Various Arrhythmias from Ventricular Tachycardia to Atrial Flutter

No abstract available.