Optimized Sugar-Free Citrus Lemon Juice Fermentation Efficiency and the Lipid-Lowering Effects of the Fermented Juice.

Aging and obesity make humans more prone to cardiovascular and metabolic syndrome diseases, leading to several serious health conditions, including hyperlipidemia, high blood pressure, and sleep disturbance. This study aimed to explore the hypolipidemic effect of fermented citrus lemon juice using a hyperlipidemic hamster model. The sugar-free lemon juice's fermentation was optimized, and the characteristics of fresh and fermented lemon juice (FLJ) were evaluated and compared, which contained polyphenols and superoxide dismutase-like activity. Results showed that the absorption and utilization efficiency of FLJ was higher compared with the unfermented lemon juice. This study's prefermentation efficiency evaluation found that 21-30 days of bacterial DMS32004 and DMS32005 fermentation of fresh lemon juice provided the best fermentation benefits, and 21-day FLJ was applied as a remedy after the efficiency compassion. After six weeks of feeding, the total cholesterol (TC) and triglyceride (TG) values in the blood and liver of the FLJ treatment groups were decreased compared with the high-fat diet (HFD) group. In addition, the blood low-density lipoprotein cholesterol (LDL-C) levels were significantly reduced in the FLJ treatment groups compared with the HFD group. In contrast, the blood high-density lipoprotein (HDL-C) to LDL-C ratio increased considerably in the FLJ treatment groups, and the total to HDL ratio was significantly lower than in the HFD group. Compared with the HFD group, the TC content in the FLJ treatment groups' feces increased significantly. This study demonstrated that the sugar-free fermentation method and fermentation cycle management provided FLJ with the potential to regulate blood lipids. Further research and verification will be carried out to isolate specific substances from the FLJ and identify their mechanisms of action.

Comparison of surgical outcomes of sleep surgeries preoperatively evaluated with drug-induced sleep endoscopy and Müller's maneuver.

Objective The purpose of this study was to compare surgical outcomes for obstructive sleep apnea (OSA) when the procedure was based on the results of drug-induced sleep endoscopy (DISE) vs. the awake Müller's maneuver (MM). Methods Forty-seven patients with OSA who underwent sleep surgery were included. Patients were divided into 2 groups according to their preoperative upper airway evaluation method. Twenty-five patients received only MM for surgical decision making (MM group), and 22 patients received both MM and DISE (DISE group) for surgical decision making. Results The surgical success rate of the DISE group was higher than that of the MM group (59% vs. 36%), but the difference was not significant (p = 0.118). The differences between pre- and postoperative apnea-hypopnea index (AHI) values in both the MM and DISE group were highly significantly different (p < 0.001). Fifteen patients in the DISE group (68.2%) received multi-level surgery, while in the MM group only 7 patients (28%) received multi-level surgery. Patients with more severe OSA (AHI > 22 or lowest O2 saturation < 81%) had better surgical outcomes when their surgical procedures were based on the findings of DISE, rather than those of MM. Conclusion The results indicate that DISE provides no benefits with respect to surgical outcomes for patients with mild to moderate OSA; however, for patients with more severe OSA surgical procedures based on DISE result in better outcomes.

Predictive modeling of blood pressure during hemodialysis: a comparison of linear model, random forest, support vector regression, XGBoost, LASSO regression and ensemble method.

BACKGROUND: Intradialytic hypotension (IDH) is commonly occurred and links to higher mortality among patients undergoing hemodialysis (HD). Its early prediction and prevention will dramatically improve the quality of life. However, predicting the occurrence of IDH clinically is not simple. The aims of this study are to develop an intelligent system with capability of predicting blood pressure (BP) during HD, and to further compare different machine learning algorithms for next systolic BP (SBP) prediction. METHODS: This study presented comprehensive comparisons among linear regression model, least absolute shrinkage and selection operator (LASSO), tree-based ensemble machine learning models (random forest [RF] and extreme gradient boosting [XGBoost]), and support vector regression to predict the BP during HD treatment based on 200 and 48 maintenance HD patients containing a total of 7,180 and 2,065 BP records for the training and test dataset, respectively. Ensemble method also was computed to obtain better predictive performance. We compared the developed models based on R2, root mean square error (RMSE) and mean absolute error (MAE). RESULTS: We found that RF (R2=0.95, RMSE=6.64, MAE=4.90) and XGBoost (R2=1.00, RMSE=1.83, MAE=1.29) had comparable predictive performance on the training dataset. However, RF (R2=0.49, RMSE=16.24, MAE=12.14) had more accurate than XGBoost (R2=0.41, RMSE=17.65, MAE=13.47) on testing dataset. Among these models, the ensemble method (R2=0.50, RMSE=16.01, MAE=11.97) had the best performance on testing dataset for next SBP prediction. CONCLUSIONS: We compared five machine learning and an ensemble method for next SBP prediction. Among all studied algorithms, the RF and the ensemble method have the better predictive performance. The prediction models using ensemble method for intradialytic BP profiling may be able to assist the HD staff or physicians in individualized care and prompt intervention for patients' safety and improve care of HD patients.

Fermented Citrus Lemon Reduces Liver Injury Induced by Carbon Tetrachloride in Rats.

Fermented lemon juice displays a variety of important biological activities, including anti-inflammatory and antioxidant capabilities. The aim of the present study is to investigate hepatic-protective effects of no-sugar-added fermented lemon juice (FLJ) for liver inflammation caused by carbon tetrachloride (CCl4) in rats. Rats are divided into six groups: H2O, CCl4 + H2O, CCl4 + silymarin, and CCl4 plus three different FLJ doses by oral administration, respectively. The results show that the contents of plasma ALT and AST, hepatic lipid peroxidation, splenomegaly, and liver water are reduced significantly in rats under FLJ treatment, and pathological examination of liver fibrosis is improved. The reduced hepatic injury by increasing liver soluble protein and glutathione and albumin is observed in FLJ treated groups, and FLJ has comparable efficacies to medicine silymarin in liver therapies. The no-sugar-added FLJ differs from traditional fermentation by adding lots of sugar and prevents any hidden sugar intake while taking it as a complimentary treatment for liver inflammation. The green color and the taste of sourness are both associated with treating and healing the liver based on the five-element theory in traditional Chinese medicine, and the green and sour FLJ may be applied to the ancient theory in preventing hepatic injury accordingly.