Protective Effects of Several Common Amino Acids, Vitamins, Organic Acids, Flavonoids and Phenolic Acids against Hepatocyte Damage Caused by Alcohol.

With the increase in alcohol consumption, more and more people are suffering from alcoholic liver disease (ALD). Therefore, it is necessary to elaborate the pathogenesis of ALD from the aspects of alcohol metabolism and harm. In this study, we established an alcoholic liver injury model in vitro by inducing L02 cells with different concentration of ethanol and acetaldehyde. Results showed that the metabolism of ethanol can promote the content of ROS, MDA, TNF-α, IL-6, and caspase 3, causing oxidative and inflammatory stress and membrane permeability changes. However, unmetabolized ethanol and acetaldehyde had little effect on cell membrane permeability and inflammation, indicating that ethanol metabolites were the main reason for cell membrane damage. We also evaluated the effects of amino acids (taurine and methionine), vitamins (E and vitamin D), organic acids (malic acid and citric acid), flavonoids (rutin and quercetin), and phenolic acids (ferulic acid and chlorogenic acid) on alcohol-induced cell membrane damage of L02 cells. Chlorogenic acid, taurine, vitamin E, and citric acid had remarkable effects on improving cell membrane damage. Malic acid, rutin, quercetin, and ferulic acid had obvious therapeutic effects, while vitamin D and methionine had poor therapeutic effects. The relationship between the structure and effect of active ingredients can be further studied to reveal the mechanism of action, and monomers can be combined to explore whether there is a synergistic effect between functional components, in order to provide a certain theoretical basis for the actual study of liver protection.

Local collective dynamics at equilibrium BCC crystal-melt interfaces.

We present a classical molecular-dynamics study of the collective dynamical properties of the coexisting liquid phase at equilibrium body-centered cubic (BCC) Fe crystal-melt interfaces. For the three interfacial orientations (100), (110), and (111), the collective dynamics are characterized through the calculation of the intermediate scattering functions, dynamical structure factors, and density relaxation times in a sequential local region of interest. An anisotropic speedup of the collective dynamics in all three BCC crystal-melt interfacial orientations is observed. This trend differs significantly from the previously observed slowing down of the local collective dynamics at the liquid-vapor interface [del Rio and González, Acta Mater. 198, 281 (2020)]. Examining the interfacial density relaxation times, we revisit the validity of the recently developed time-dependent Ginzburg-Landau theory for the solidification crystal-melt interface kinetic coefficients, resulting in excellent agreement with both the magnitude and the kinetic anisotropy of the crystal-melt interface kinetic coefficients measured from the non-equilibrium molecular-dynamics simulations.

Understanding the kinetic anisotropy of the soft-sphere bcc crystal-melt interfaces.

By employing the non-equilibrium molecular dynamics (MD) simulations and the time-dependent Ginzburg-Landau (TDGL) theory for the solidification kinetics, we predict the kinetic coefficients for the bcc(100), (110), and (111) CMIs of the soft-spheres, which are modeled with the inverse-power repulsive potential, and compare with the previous reported data of the bcc Fe system. We confirm a universal-like behavior of the spatial integrations of the (density wave amplitudes) Ginzburg-Landau order parameter square-gradient for the bcc CMI systems. The TDGL predictions of the kinetic anisotropies for bcc soft-sphere and bcc Fe CMI systems are identical; both agree well with the MD measurement for the soft-sphere system but differ strongly with the MD measurement for the Fe system. This finding implies that the current TDGL theory reflects a preference of presenting the generic anisotropy relationship due to the interfacial particle packings but lacks the contribution parameter which addresses the specificities in the kinetic anisotropies owing to the particle-particle interactions. A hypothesis that the density relaxation times for the interface melt phases to be anisotropic and material-dependent is then proposed.

Correction: Tracking and Monitoring Mood Stability of Patients With Major Depressive Disorder by Machine Learning Models Using Passive Digital Data: Prospective Naturalistic Multicenter Study.

[This corrects the article DOI: 10.2196/24365.].

Tracking and Monitoring Mood Stability of Patients With Major Depressive Disorder by Machine Learning Models Using Passive Digital Data: Prospective Naturalistic Multicenter Study.

BACKGROUND: Major depressive disorder (MDD) is a common mental illness characterized by persistent sadness and a loss of interest in activities. Using smartphones and wearable devices to monitor the mental condition of patients with MDD has been examined in several studies. However, few studies have used passively collected data to monitor mood changes over time. OBJECTIVE: The aim of this study is to examine the feasibility of monitoring mood status and stability of patients with MDD using machine learning models trained by passively collected data, including phone use data, sleep data, and step count data. METHODS: We constructed 950 data samples representing time spans during three consecutive Patient Health Questionnaire-9 assessments. Each data sample was labeled as Steady or Mood Swing, with subgroups Steady-remission, Steady-depressed, Mood Swing-drastic, and Mood Swing-moderate based on patients' Patient Health Questionnaire-9 scores from three visits. A total of 252 features were extracted, and 4 feature selection models were applied; 6 different combinations of types of data were experimented with using 6 different machine learning models. RESULTS: A total of 334 participants with MDD were enrolled in this study. The highest average accuracy of classification between Steady and Mood Swing was 76.67% (SD 8.47%) and that of recall was 90.44% (SD 6.93%), with features from all types of data being used. Among the 6 combinations of types of data we experimented with, the overall best combination was using call logs, sleep data, step count data, and heart rate data. The accuracies of predicting between Steady-remission and Mood Swing-drastic, Steady-remission and Mood Swing-moderate, and Steady-depressed and Mood Swing-drastic were over 80%, and the accuracy of predicting between Steady-depressed and Mood Swing-moderate and the overall Steady to Mood Swing classification accuracy were over 75%. Comparing all 6 aforementioned combinations, we found that the overall prediction accuracies between Steady-remission and Mood Swing (drastic and moderate) are better than those between Steady-depressed and Mood Swing (drastic and moderate). CONCLUSIONS: Our proposed method could be used to monitor mood changes in patients with MDD with promising accuracy by using passively collected data, which can be used as a reference by doctors for adjusting treatment plans or for warning patients and their guardians of a relapse. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR1900021461; http://www.chictr.org.cn/showprojen.aspx?proj=36173.

GreenLight laser photoselective vaporization of the prostate for treatment of benign prostate hyperplasia/lower urinary tract symptoms in patients with different post-void residual urine.

The purpose of this study is to assess the safety and efficacy of GreenLight laser photoselective vaporization of the prostate (PVP) for the treatment of benign prostate hyperplasia/lower urinary tract symptoms (BPH/LUTS) in patients with different post-void residual urine (PVR). BPH/LUTS patients treated with PVP from January 2014 to January 2016 were enrolled in the present study. All patients were divided into PVR > 50, 50 ≤ PVR < 400, and PVR ≥ 400 ml groups, and standard general and urological methods for BPH/LUTS were carried out. PVP surgery was performed, and the follow-up outcome was investigated 6 months after surgery. A total of 429 patients were included, and there were no significant differences in comorbid diseases or habits among the three groups. The maximum urinary flow rate (Qmax) differed significantly among the groups (P < 0.001), while patients in the PVR < 50 ml group had higher maximum detrusor pressure (Pdet.max) level than the other two groups (P < 0.001). Patients in 50 ≤ PVR < 400 (P < 0.001) and PVR ≥ 400 (P < 0.001) ml groups were more likely to develop detrusor underactivity than those in the PVR < 50 ml group. All patients were treated with PVP, and there were no severe complications requiring rehospitalization or reoperation except nine designed re-treatments. Follow-up data of 387 patients were available. Significant improvement in outcome parameters (International Prostate Symptom Score [IPSS], Qmax, and PVR) was observed in comparison with baseline measurements for the three groups. PVP significantly improved the IPSS, Qmax, and PVR in patients with different PVR; PVP is a safe and effective procedure for BPH/LUTS patients.

Assessment of noninvasive predictors of bladder detrusor underactivity in BPH/LUTs patients.

PURPOSE: To retrospectively assess the diagnostic predictive value of clinical characteristics to improve the diagnostic accuracy of bladder detrusor underactivity (DU) among benign prostatic hyperplasia/lower urinary tract symptoms (BPH/LUTS) patients who cannot undergo urodynamic examinations. METHODS: A total of 704 BPH/LUTS patients at Tianjin Medical Union Center from January 2013 through June 2016 were enrolled in the study. All cases were stratified by maximum detrusor pressure (Pdet.max) into two groups (DU and control). Patient and clinical variables were analyzed in both groups. RESULTS: One hundred twelve and 592 cases were classified into the DU and control group, respectively. PV (OR 0.976, 95% CI 0.961-0.991, P = 0.002) and PVR (OR 1.004, 95% CI 1.001-1.007, P = 0.004) were independent predictors of DU. In addition, Pdet.max was positively correlated with HTN (≥10 years) (r = 0.373, P = 0.001), smoking (r = 0.108, P = 0.039), IPSS (20-23) (r = 0.257, P = 0.013), PV (r = 0.305, P < 0.001), PSA (1-2.2 ng/mL) (r = 0.428, P = 0.002), PSAD (0-0.02) (r = 0.430, P = 0.02), and Q max (≤4 mL/s) (r = 0.372, P < 0.001), and inversely correlated with age (>76 years) (r = -0.265, P = 0.015), BMI (21-23) (r = -0.382, P = 0.001), DM (0-20 years) (r = 0.365, P = 0.009) and PVR (50-400 mL) (r = 0.423, P = 0.001). The AUCs for BMI, PV, tPSA, PSAD, Q max, and PVR were 0.762, 0.739, 0.727, 0.681, 0.749, and 0.716, respectively. Combined ROC analysis showed the AUC for PV + PVR was 0.774 with sensitivity of 77.78% and specificity of 73.68%. CONCLUSION: Clinical factors were effective for predicting DU and could help improve the diagnostic accuracy for BPH/LUTS patients who cannot undergo urodynamic examinations.

Prognostic implications of preoperative anemia in urothelial carcinoma: A meta-analysis.

The prognostic significance of preoperative anemia (PA) has been identified in various malignancies. However, its predictive role in urothelial carcinoma (UC) remains controversial. The aim of this study was to investigate the prognostic value of PA in UC patients. We performed a meta-analysis of the association between PA and survival outcome in UC patients. Electronic databases were searched up to June 30, 2016. Study characteristics and prognostic data were extracted from each included study. Cancer-specific survival (CSS), recurrence-free survival (RFS), and overall survival (OS) were pooled using hazard ratio (HR) with corresponding 95% confidence intervals (CI). Herein, 12 studies comprising 3815 patients were included in the meta-analysis. There were 1593 (41.76%) patients in the PA group and 2222 (58.24%) in the control group. The overall pooled HRs of PA for CSS, RFS, and OS were significant at 2.21, (95% CI: 1.83-2.65, Pheterogeneity = 0.49, I2 = 0%), 1.87 (95% CI: 1.59-2.20, Pheterogeneity = 0.22, I2 = 28%), and 2.04(95% CI: 1.76-2.37, Pheterogeneity = 0.36, I2 = 9%) respectively. Stratified analyses indicated that PA was a predictor of poor prognosis based on ethnicity, sample size, tumor T stage, G grade, lymphovascular invasion (LVI), concomitant carcinoma in situ (CIS), and follow-up values. Our findings show that PA has negative prognostic effects on the survival outcome (CSS, RFS, and OS) in UC patients and can serve as a useful and cost-effective marker to aid prognosis prediction.

Prognostic impact of preoperative anemia on non-muscle-invasive bladder carcinoma treated with GreenLight laser vaporization.

In this study, we aimed to evaluate the impact of preoperative anemia (PA) on oncological outcomes among patients with non-muscle-invasive bladder cancer (NMIBC) treated with GreenLight laser vaporization of bladder tumor (PV-BT). Between January 2010 and December 2015, 407 patients with NMIBC who underwent PV-BT surgery were stratified into normal and anemia groups based on the World Health Organization classification (anemia cutoff value: hemoglobin level, <13.0 m g/dL in men and <12.0 mg/dL in women). The Student's t test and chi-square test were performed to assess the effects of PA on clinical and pathological characteristics of patients with NMIBC. The Kaplan-Meier method was used to investigate the influence of PA on oncological survival outcomes. Before PV-BT, 139 patients (34.2%) were anemic. No significant differences in age, sex, smoking habit, tumor size, focality, grade, and stage were found between the anemia and normal groups. At a median follow-up period of 32.5 months (range, 8-60 months), 74 patients (18.2%) had urothelial recurrence, 30 (7.4%) died from any cause, and 21 (5.2%) died from bladder cancer. In the Kaplan-Meier analysis, preoperative anemia was significantly associated with decreased cancer-specific survival (CSS) and overall survival (OS) of the patients with NMIBC. However, recurrence-free survival (RFS) showed no statistically significant difference between the PA and normal groups. The preoperative anemic patients with NMIBC who underwent PV-BT surgery had worse CSS and OS. PA can be a useful and cost-effective prognostic marker in the clinical practice for NMIBC treatment.