Early Diagnosis of Colorectal Cancer Based on Bisulfite-free Site-specific Methylation Identification PCR Strategy: High-Sensitivity, Accuracy, and Primary Medical Accessibility.

Due to its decade-long progression, colorectal cancer (CRC) is most suitable for population screening to achieve a significant reduction in its incidence and mortality. DNA methylation has emerged as a potential marker for the early detection of CRC. However, the current mainstream methylation detection method represented by bisulfite conversion has issues such as tedious operation, DNA damage, and unsatisfactory sensitivity. Herein, a new high-performance CRC screening tool based on the promising specific terminal-mediated polymerase chain reaction (STEM-PCR) strategy is developed. CRC-related methylation-specific candidate CpG sites are first prescreened through The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases using self-developed bioinformatics. Next, 9 homebrew colorectal cancer DNA methylated STEM‒PCR assays (ColoC-mSTEM) with high sensitivity (0.1%) and high specificity are established to identify candidate sites. The clinical diagnostic performance of these selected methylation sites is confirmed and validated by a case-control study. The optimized diagnostic model has an overall sensitivity of 94.8% and a specificity of 95.0% for detecting early-stage CRC. Taken together, ColoC-mSTEM, based on a single methylation-specific site, is a promising diagnostic approach for the early detection of CRC which is perfectly suitable for the screening needs of CRC in primary healthcare institutions.

A web-based novel prediction model for predicting depression in elderly patients with coronary heart disease: A multicenter retrospective, propensity-score matched study.

Background: Depression is associated with an increased risk of death in patients with coronary heart disease (CHD). This study aimed to explore the factors influencing depression in elderly patients with CHD and to construct a prediction model for early identification of depression in this patient population. Materials and methods: We used propensity-score matching to identify 1,065 CHD patients aged ≥65 years from four hospitals in Chongqing between January 2015 and December 2021. The patients were divided into a training set (n = 880) and an external validation set (n = 185). Univariate logistic regression, multivariate logistic regression, and least absolute shrinkage and selection operator regression were used to determine the factors influencing depression. A nomogram based on the multivariate logistic regression model was constructed using the selected influencing factors. The discrimination, calibration, and clinical utility of the nomogram were assessed by the area under the curve (AUC) of the receiver operating characteristic curve, calibration curve, and decision curve analysis (DCA) and clinical impact curve (CIC), respectively. Results: The predictive factors in the multivariate model included the lymphocyte percentage and the blood urea nitrogen and low-density lipoprotein cholesterol levels. The AUC values of the nomogram in the training and external validation sets were 0.762 (95% CI = 0.722-0.803) and 0.679 (95% CI = 0.572-0.786), respectively. The calibration curves indicated that the nomogram had strong calibration. DCA and CIC indicated that the nomogram can be used as an effective tool in clinical practice. For the convenience of clinicians, we used the nomogram to develop a web-based calculator tool (https://cytjt007.shinyapps.io/dynnomapp_depression/). Conclusion: Reductions in the lymphocyte percentage and blood urea nitrogen and low-density lipoprotein cholesterol levels were reliable predictors of depression in elderly patients with CHD. The nomogram that we developed can help clinicians assess the risk of depression in elderly patients with CHD.

Estimators and confidence intervals of f2 using bootstrap methodology for the comparison of dissolution profiles.

BACKGROUND AND OBJECTIVES: The most widely used method to compare dissolution profiles is the similarity factor f2. When this method is not applicable, the confidence interval of f2 using bootstrap methodology has been recommended instead. As neither details of the estimator nor the types of confidence intervals are described in the guidelines, the suitability of five estimators and fourteen types of confidence intervals were investigated in this study by simulation. METHODS: One million individual dissolution profiles were simulated for the reference and test populations with predefined target population f2 values, where random samples of different sizes were drawn without replacement. From each pair of random samples, five f2 estimators were calculated, and fourteen types of confidence intervals were obtained using 5000 bootstrap samples. The whole process was repeated 10000 times and the percentage of the similarity conclusions was measured. In addition, the uncertainty associated with the current practice of using f^2 point estimate alone for the statistical inference was evaluated. RESULTS: When combined with different types of confidence intervals, the estimated f2 (f^2), the bias-corrected f2 (f^2,bc), and the variance- and bias-corrected f2 (f^2,vcbc) are not suitable estimators due to higher-than-acceptable type I errors. The estimator f^2,exp, calculated based on the mathematical expectation of f^2, and f^2,vcexp, the variance-corrected f^2,exp, showed acceptable type I errors when combined with any of the ten percentile intervals. However, they have the drawback of low power, which might be addressed by increasing the sample size. To properly control the type I error, samples with at least 12 units should be used. CONCLUSION: The best combinations of estimator and type of confidence interval are f^2,exp and f^2,vcexp combined with any of the ten types of percentile intervals. When the sample f2 value is close to 50, the use of the confidence interval of f2 is recommended even when the variability of the dissolution profiles is low and the prerequisites defined in the regulatory guidelines for using the conventional f2 method are fulfilled in order to control the type I error rate.

Influence of Inter- and Intra-Batch Variability on the Sample Size Required for Demonstration of Equivalent Microstructure of Semisolid Dosage Forms.

Inter- and intra-batch variability of the quality attributes contribute to the uncertainty for demonstrating equivalent microstructure of post-approval changes and generic/hybrids of semisolid topical products. Selecting a representative sample size to describe accurately the in vitro properties of semisolids and to reach enough statistical power to demonstrate similarity between two semisolid topical products is currently challenging. The objective of this work is to establish the number of batches and units per batch to be compared based on different inter-batch and intra-batch variability to demonstrate equivalence in the physical characteristics of the products that ensure a similar microstructure of the semisolid. This investigation shows that the minimum number of batches to be compared of each product is 3 and the minimum number of units per batch could be 6 in the case of low intra- and inter-batch variability. If the products are not identical, i.e., 2.5-5% differences that are expected due to differences in the manufacturing process or the suppliers of excipients, 12 units and 6 batches are needed. If intra- or inter-batch variability is larger than 10%, the number of batches and/or the number of units needs to be increased. As the interplay between inter- and intra-batch variability is complex, the sample size required for each combination of inter- and intra-batch variability and expected difference between products can be obtained in the attached tables.

Detecting Coal Pulverizing System Anomaly Using a Gated Recurrent Unit and Clustering.

The coal pulverizing system is an important auxiliary system in thermal power generation systems. The working condition of a coal pulverizing system may directly affect the safety and economy of power generation. Prognostics and health management is an effective approach to ensure the reliability of coal pulverizing systems. As the coal pulverizing system is a typical dynamic and nonlinear high-dimensional system, it is difficult to construct accurate mathematical models used for anomaly detection. In this paper, a novel data-driven integrated framework for anomaly detection of the coal pulverizing system is proposed. A neural network model based on gated recurrent unit (GRU) networks, a type of recurrent neural network (RNN), is constructed to describe the temporal characteristics of high-dimensional data and predict the system condition value. Then, aiming at the prediction error, a novel unsupervised clustering algorithm for anomaly detection is proposed. The proposed framework is validated by a real case study from an industrial coal pulverizing system. The results show that the proposed framework can detect the anomaly successfully.

Novel endoscopic treatment strategy for early esophageal cancer in cirrhotic patients with esophageal varices.

The safety and efficacy of endoscopic submucosal dissection (ESD) and radiofrequency ablation for early esophageal cancer (EEC) in cirrhotic patients has not been thoroughly investigated to date. The present study aimed to establish a standard treatment strategy for EEC in cirrhotic patients with esophageal varices. Six cirrhotic patients with early flat-type EECs (high-grade intraepithelial neoplasia) on or adjacent to esophageal varices were enrolled. Esophageal varix ligation (EVL) or transjugular intrahepatic portosystemic shunt (TIPS) were used for the initial management of esophageal varices. Follow-up endoscopy was performed two months following the initial procedure. The mean longitudinal length of the lesions was 4.3 cm (range, 2-6 cm). The average procedure time was 72.8 min (range, 34-135 min) and the average longitudinal length of the resected specimens was 45.6 mm (range, 30-90 mm). One case had a tumor-positive lateral margin with lymphovascular infiltration. Both complete and curative resection rates were 80% (4/5 lesions). Large intraoperative bleeding was detected in patients undergoing EVL compared with TIPS prior to the ESD procedure. No severe complications or mortality-associated events, including massive postoperative bleeding, perforation or hepatic failure, were observed. No recurrence and metastasis were observed during the follow-up period. The current study suggested a novel treatment strategy for EECs complicated by esophageal varices in cirrhosis with good treatment results, no neoplastic progression and an acceptable adverse event profile.

Pharmacokinetic dose proportionality between two strengths (12.5 mg and 25 mg) of doxylamine hydrogen succinate film-coated tablets in fasting state: a single-dose, randomized, two-period crossover study in healthy volunteers.

BACKGROUND: Doxylamine succinate, an ethanolamine-based antihistamine, is used in the short-term management of insomnia because of its sedative effects. No data on the dose proportionality of the pharmacokinetics of doxylamine are available, although this drug has been marketed in European countries for more than 50 years. OBJECTIVE: The objective of this study was to evaluate and compare the dose proportionality between two marketed strengths (12.5 mg and 25 mg) of doxylamine hydrogen succinate after a single oral dose administration under fasting conditions in healthy human subjects. STUDY DESIGN: This was a single-center, randomized, single dose, laboratory-blinded, two-period, two-sequence, crossover study. SETTING: The study was conducted in a phase I clinical unit. SUBJECTS AND METHODS: A single oral dose of doxylamine hydrogen succinate of 12.5 mg (equivalent to 8.7 mg of doxylamine base) or 25 mg (equivalent to 17.4 mg of doxylamine base) was administered to healthy volunteers under fasting conditions in each study period. The drug administrations were separated by a wash-out period of 7 calendar days. Blood samples were collected for up to 60 h post-dose, and plasma doxylamine levels were determined by an ultra high-performance liquid chromatography method with tandem mass spectrometry detection. Pharmacokinetic parameters were calculated using non-compartmental analysis. Dose proportionality was assessed based on the parameter area under the concentration-time curve (AUCt normalized). Safety was evaluated through assessment of adverse events, standard laboratory evaluations, vital signs and 12-lead electrocardiogram (ECG). RESULTS: In total, 12 healthy volunteers (3 male; 9 female) were included in the study. Mean maximum observed plasma concentration (Cmax) and area under the concentration-time curve from time zero to time t (AUCt ) of doxylamine hydrogen succinate 12.5 mg and 25 mg tablets increased linearly and dose-dependently [12.5 mg: mean Cmax 61.94 ng/mL, coefficient of variation (CV) 23.2%; mean AUCt 817.33 ng·h/mL, CV 27.4%; and 25 mg: mean Cmax 124.91 ng/mL, CV 18.7%; mean AUCt 1630.85 ng·h/mL, CV 22.8%]. Mean AUCt normalized was 815.43 ng·h/mL, CV 22.8% for 25 mg. The dose-normalized geometric mean ratio (%, 12.5 mg/25 mg) of AUCt was 98.92 (90% CI: 92.46, 105.83). The most common adverse event was somnolence. CONCLUSIONS: Exposure to doxylamine was proportional over the therapeutic dose range of 12.5-25 mg in healthy volunteers. Based on the results, a predictable and linear increase in systemic exposure can be expected. Doxylamine hydrogen succinate was safe and well tolerated.

Food effects on the pharmacokinetics of doxylamine hydrogen succinate 25 mg film-coated tablets: a single-dose, randomized, two-period crossover study in healthy volunteers.

BACKGROUND: Doxylamine succinate, an ethanolamine-based antihistamine, is used in the short-term management of insomnia because of its sedative effects. The data available on the pharmacokinetic profile of doxylamine in humans are limited, notwithstanding that this drug has been marketed in European countries for more than 50 years. In fact, no data on the effect of food on the pharmacokinetic parameters of doxylamine are available. OBJECTIVE: The objective of this study was to evaluate the pharmacokinetic parameters of doxylamine following a single oral dose of doxylamine hydrogen succinate 25 mg in healthy human subjects under fed and fasting conditions. STUDY DESIGN: This was a single-center, randomized, single-dose, laboratory-blinded, two-period, two-sequence, crossover study. SETTING: The study was conducted in a phase I clinical unit. SUBJECTS AND METHODS: A single oral dose of doxylamine hydrogen succinate 25 mg (equivalent to 17.4 mg of doxylamine base) was administered to healthy volunteers under either fed conditions (high-fat, high-calorie food intake) or fasting conditions in each study period. The drug administrations were separated by a wash-out period of seven calendar days. Plasma samples were collected for up to 60 hours postdose, and plasma doxylamine concentrations were determined by a high-performance liquid chromatography method with tandem mass spectrometry detection. Pharmacokinetic parameters were calculated using noncompartmental analysis. Safety was evaluated through assessment of adverse events, standard laboratory evaluations, vital signs, and 12-lead electrocardiography. RESULTS: In total, 24 healthy subjects (12 male and 12 female) were included in the study. Doxylamine succinate 25 mg tablets exhibited similar oral bioavailability of doxylamine in the fasting state (mean maximum plasma drug concentration [C(max)] 118.21 ng/mL, coefficient of variation [CV] 19.2%; mean area under the plasma concentration time curve from time zero to time t [AUC(t)] 1746.97 ng · h/mL, CV 31.6%) and in the fed state (mean C(max) 120.99 ng/mL, CV 15.0%; mean AUC(t) 1712.20 ng · h/mL, CV 26.7%). No statistically significant between-treatment differences were observed for any of the pharmacokinetic parameters under study. The fed : fasting ratios of the geometric least squares means with corresponding 90% confidence intervals for C(max) and AUC(t) were within the range of 80-125%. CONCLUSION: High-fat, high-calorie food intake does not affect the kinetics of doxylamine in healthy subjects. The drug was safe and well tolerated by the subjects in this study.