A Novel Polysaccharide DSPP-1 from Durian Seed: Structure Characterization and Its Protective Effects Against Alzheimer's Disease in a Transgenic Caenorhabditis elegans Model.

Durian seeds are normally considered as agricultural waste in durian fruit processing, resulting in a huge waste of resources. The structure characterization of polysaccharide from durian seed and its neuroprotective effects against Alzheimer's disease (AD) in a transgenic Caenorhabditis elegans model were conducted in this study. A water-soluble polysaccharide was obtained using atmospheric pressure plasma treatment, and named DSPP-1. DSPP-1 was composed of rhamnose, galactose and galacturonic acid and its molecular weight was 3.765 × 105 Da. PDSP and DSPP-1 showed considerable antioxidant activity in the 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical-scavenging compared to the positive control (vitamin C). Besides, compared with the positive group (epigallocatechin gallate), PDSP and DSPP-1 exhibited the certain Abeta1 - 42 aggregation inhibitory effectiveness (p < 0.05). In contrast, DSPP-2 exerted a poor antioxidant and anti-aggregation effect (p < 0.05). In vivo results showed that DSPP-1 could decrease abnormal Aß1-42 aggregation to delay the paralysis process of AD-nematodes. Moreover, DSPP-1 significantly improved the antioxidant enzyme activities and reduced lipid peroxidation in AD-nematodes. Taken together, these results indicated that DSPP-1 could be used as a potential natural source for the prevention and treatment of AD.

Baseline correction using a deep-learning model combining ResNet and UNet.

Most spectral data, such as those obtained via infrared, Raman, and mass spectroscopy, have baseline drifts due to fluorescence or other reasons, which have an adverse impact on subsequent analyses. Therefore, several researchers have proposed the use of various baseline-correction methods to address the aforementioned issue. However, most baseline-correction methods require manual adjustment of the parameters to achieve desirable performance. In this study, we propose a baseline-correction method based on a deep-learning model that combines ResNet and UNet. The method uses a deep-learning model trained with simulated spectral data to perform baseline corrections and eliminates the need for manual parameter adjustments. Based on the results of the qualitative and quantitative analyses of the simulated spectral data and actual Raman spectra, the proposed method is easier to apply and has better performance compared to the existing methods. As the proposed method can be applied to Raman spectra and other spectra, it is expected to be widely used.

Genome sequencing of Aureobasidium pullulans P25 and overexpression of a glucose oxidase gene for hyper-production of Ca2+-gluconic acid.

Gluconic acid (GA) has many applications such as in the food and pharmaceutical industry. Aureobasidium pullulans P25 strain is able to produce high levels of Ca2+-GA. The genome length, GC content and the gene number of this yeast were found to be 30.97 Mb, 50.28% and 10,922, respectively. The pathways for gluconic acid biosynthesis were annotated. Glucose oxidase (Gox) sequences from different strains of A. pullulans were highly similar but were distinct from those of other fungi. The glucose oxidase had two FAD binding sites and a signal sequence. Deletion of the GOX gene resulted in a strain that showed no Gox activity and that was unable to produce Ca2+-GA. Overexpression of the GOX gene in strain P25 generated strain GA-6 that produced 200.2 ± 2.3 Ca2+-GA g/l and 2480 U/mg of Gox activity. The productivity of Ca2+-GA was 2.78 g/l/h and the yield was 1.1 g/g.

Cell wall integrity is required for pullulan biosynthesis and glycogen accumulation in Aureobasidium melanogenum P16.

BACKGROUND: Pullulan and glycogen have many applications and physiological functions. However, to date, it has been unknown where and how the pullulan is synthesized in the yeast cells and if cell wall structure of the producer can affect pullulan and glycogen biosynthesis. METHODS: The genes related to cell wall integrity were cloned, characterized, deleted and complemented. The cell wall integrity, pullulan biosynthesis, glycogen accumulation and gene expression were examined. RESULTS: In this study, the GT6 and GT7 genes encoding different α1,2 mannosyltransferases in Aureobasidium melanogenum P16 were cloned and characterized. The proteins deduced from both the GT6 and GT7 genes contained the conserved sequences YNMCHFWSNFEI and YSTCHFWSNFEI of a Ktr mannosyltransferase family. The removal of each gene and both the two genes caused the changes in colony and cell morphology and enhanced glycogen accumulation, leading to a reduced pullulan biosynthesis and the declined expression of many genes related to pullulan biosynthesis. The swollen cells of the disruptants were due to increased accumulation of glycogen, suggesting that uridine diphosphate glucose (UDP-glucose) was channeled to glycogen biosynthesis in the disruptants, rather than pullulan biosynthesis. Complementation of the GT6 and GT7 genes in the corresponding disruptants and growth of the disruptants in the presence of 0.6 M KCl made pullulan biosynthesis, glycogen accumulation, colony and cell morphology be restored. GENERAL SIGNIFICANCE: This is the first report that the two α1,2 mannosyltransferases were required for colony and cell morphology, glycogen accumulation and pullulan biosynthesis in the pullulan producing yeast.

Elevated Preoperative Carcinoembryonic Antigen and Vascular Endothelial Growth Factor Predict Shorter Survival in Patients with Sigmoid Colon Carcinoma.

BACKGROUND: We investigated the prognostic significance of carcinoembryonic antigen (CEA) and vascular endothelial growth factor (VEGF) and their associations with clinicopathological features in patients with sigmoid colon carcinoma (SCC). METHODS: We retrospectively reviewed patients with SCC treated with curative surgery from January 2001 to June 2010 at our hospital. Patients' general, clinical, histopathologic, and serum biomarkers were analyzed. We measured VEGF in 176 sets of SCC tissues and adjacent noncancerous tissue samples with immunohistochemical and Elivison staining. CEA was measured with a tumor biomarker chip. Their correlations with clinicopathologic factors were analyzed by chi-square test. Univariate and multivariate analyses were used to identify factors associated with overall survival (OS). RESULTS: Of the 176 patients, 69.3% were alive and 30.7% had died. In univariate analysis, serum CEA level (p = 0.002, OR = 2.394, 1.392 - 4.116), tumor VEGF (p = 0.04, OR = 1.968, 1.032 - 3.752), lymph node metastasis (N, p = 0.000, OR = 3.712, 2.064 - 6.675), T stage (T, p = 0.016, OR = 5.706, 1.382 - 23.552) and differentiation (p = 0.000) were the prognostic factors for OS. In stratified analysis, combined elevated serum CEA and tumor VEGF levels were associated with poorer prognosis. CONCLUSIONS: Elevated preoperative serum CEA and tumor VEGF were predictors of poor prognosis for patients with SCC.

[Correlation between CYP2C19 Gene Polymorphism with Clopidogrel Resistance and Distribution of Chinese Medicine Syndrome in 229 Acute Coronary Syndrome Patients].

Objective To observe correlation between CYP2C19 *2/CYP2C19 *3 gene polymorphism with clopidogrel resistance and distribution of Chinese medicine ( CM) syndrome in acute coronary syndrome (ACS) population. Methods Peripheral blood was collected from 229 ACS patients from June 2014 to March 2015. DNAs were extracted, amplified, and sequenced. Correlations between CYP2C19 *2/CYP2Cl9 *3 gene polymorphisms and clopidogrel resistance/distribution of CM syndrome were analyzed. Gene frequency and allele frequency were tested using gene counting and one-sample K-S test. Correlation between gene types and distribution of CM syndrome was tested by Pearson corre- lation test. Results (1) The CYP2C19 *2 polymorphism distribution: CYP2C19 *2(A/A) (mutant homozygous) 12 cases (5. 2%) ; CYP2C19 * 2 ( G/A ) ( mutant heterozygote ) 93 cases (40. 6%), and CYP2C19 *2 (G/G) (normal homozygous) 124 cases (54. 2%). The mutant allele frequency was 0. 255. (2) The CYP2C19 *3 polymorphism distribution: CYP2C19 *3 (A/A) 0 case (0) ; CYP2C19 *3 (G/A) 26 cases (11. 4%), and CYP2C19 *3 (G/G) 203 cases (88. 6%). The mutant allele frequency was 0. 056. (3) Correlation between CYP2C19 gene polymorphism and clopidogrel resistance: Clopidogrel resistance was more liable to occur in mutant homozygous than in mutant heterozygote and normal homozygous (R =0. 30, P <0. 01). Clopidogrel resistance was more liable to occur in mutant heterozygote than in normal homozygous (R =0. 34, P <0. 01). (4) Among the 229 patients, the CM syndrome distribution were distributed as follows. Blockage of Xin vessels syndrome (BXVS, 33 cases, 14. 41%) ; qi deficiency blood stasis syndrome (QDBSS, 51 cases, 22. 27%) ; qi stagnation blood stasis syndrome (QSBSS, 92 cases, 40.18%) ; phlegm obstructing Xin vessel syndrome (POXVS, 17 cases, 7. 42%) ; yin-cold coag- ulation syndrome (YCCS, 8 cases, 3. 49%) ; qi-yin deficiency syndrome (QYDS, 13 cases, 5.68%) ; Xin-Shen yin deficiency syndrome (XSYDS, 5 cases, 2.18%), yang and qi deficiency syndrome (YQDS, 10 cases, 4. 37%). (5) CYP2C19 *2 gene type was significantly correlated with syndrome typing of CM (R =0. 26, P <0. 01). Mutant homozygous and most mutant heterozygote patients were syndrome typed as QDBSS. Conclusions The polymorphism of CYP2C19 was closely correlated with clopidogrel resist- ance in 229 ACS patients. Its occurrence rate was correlated with CYP2C19 *2/CYP2C19 *3 gene muta- tion frequency. Blood stasis syndrome ( QSBSS, QDBSS, BXVS) were main syndromes of ACS. Be- sides, QSBSS was obviously higher than the rest syndrome types. The polymorphism of CYP2C19 * 2 was correlated with syndrome typing of CM. CYP2C19 *2 gene defect mostly existed in QSBSS.

A measure to assess the ablative margin using 3D-CT image fusion after radiofrequency ablation of hepatocellular carcinoma.

OBJECTIVES: To examine the feasibility of three-dimensional computed tomography (3D-CT) image fusion in facilitating assessment of the ablative margin (AM) after radiofrequency ablation (RFA) of hepatocellular carcinoma (HCC). METHODS: This study involved 75 patients with solitary HCC who underwent RFA. The AM was evaluated using 3D-CT image fusion. All cases were categorized into two groups based on the extent of the AM: in Group A, sufficient AM was obtained, which was greater than or equal to 5 mm; in Group B, the lesion was also ablated successfully, but a 5 mm AM was not obtained. RESULTS: 3D-CT Image Fusion was performed on 36 and 39 patients in Group A and Group B, respectively. The 1, 3, 5 year RFS was 87.6%, 63.2%, 50.6% for Group A, and 77.2%, 51.5%, 35.6% for Group B, respectively (P = 0.042); the corresponding OS was 94.3%, 73.8%, 64.6%, and 86.2%, 60.5%, 47.6%, respectively (P = 0.046). Multivariate analysis showed that the AM (P = 0.048, HR = 2.15, 95% CI 1.01-4.60) and Pre-NLR were independent prognostic factors for PFS. CONCLUSIONS: 3D-CT image fusion is a feasible and useful method to evaluate the AM after RFA of HCC.

[Exploration Research of Treatment Effect Improvement of Transcutaneous Electrical Nerve Stimulation Using Parameter-changing Chaotic Signal].

This article presents a transcutaneous electric stimulator that is based on chaotic signal. Firstly, we in the study used the MATLAB platform in the PC to generate chaotic signal through the chaos equation, and then we transferred the signal out by data acquisition equipment of USB-6251 manufactured by NI Company. In order to obtain high-power signal for transcutaneous electric stimulator, we used the chip of LM3886 to amplify the signal. Finally, we used the power-amplified chaotic signal to stimulate the internal nerve of human through the electrodes fixed on the skin. We obtained different stimulation effects of transcutaneous electric stimulator by changing the parameters of chaotic model. The preliminary test showed that the randomness of chaotic signals improved the applicability of electrical stimulation and the rules of chaos ensured that the stimulation was comfort. The method reported in this paper provides a new way for the design of transcutaneous electric stimulator.

PD-L1 inhibitor versus PD-1 inhibitor plus bevacizumab with transvascular intervention in unresectable hepatocellular carcinoma.

Both atezolizumab (a PD-L1 inhibitor) plus bevacizumab (A+B) and sintilimab (a PD-1 inhibitor) plus bevacizumab (S+B) are recommended as the first-line regimen for advanced hepatocellular carcinoma (HCC) in China. Different efficacy between the two regimens combined with transvascular intervention for unresectable HCC (uHCC) remain unknown. We retrospectively analyzed uHCC patients treated in three centers by simultaneous combination of A+B or S+B with transarterial chemoembolization (TACE) and FOLFOX-based hepatic arterial infusion chemotherapy (HAIC). Objective response rate (ORR), progression-free survival (PFS), overall survival (OS) and treatment-related adverse events (TRAEs) were compared. Totally 188 patients were included, with 92 and 96 administered A+B+TACE-HAIC (ABTH) and S+B+TACE-HAIC (SBTH), respectively. ORRs (62.0 vs. 70.8%, respectively; P = 0.257) and disease control rates (88.0 vs. 93.8%, P = 0.267) were similar between groups by the mRECIST criteria. ABTH showed no survival advantage over SBTH, with median PFS times of 11.7 months and 13.0 months, respectively (HR = 0.81, 95% CI, 0.52-1.26, P = 0.35) and similar OS times (HR = 1.19, 95% CI, 0.32-4.39, P = 0.8). No significant differences were observed in grade 3-4 TRAEs between groups. Either PD-L1 or PD-1 inhibitor plus bevacizumab combined with TACE-HAIC have similarly excellent therapeutic efficacy with manageable adverse events, representing promising treatment options for uHCC.

Plasma Metabolic Profiling and Multiclass Diagnostic Model Development for Stable Angina Pectoris and Acute Myocardial Infarction.

Coronary heart disease remains a major global health challenge, with a clear need for enhanced early risk assessment. This study aimed to elucidate metabolic signatures across various stages of coronary heart disease and develop an effective multiclass diagnostic model. Using metabolomic approaches, gas chromatography-mass and liquid chromatography-tandem mass spectrometry were used to analyze plasma samples from healthy controls, patients with stable angina pectoris, and those with acute myocardial infarction. Pathway enrichment analysis was conducted on metabolites exhibiting significant differences. The key metabolites were identified using Random Forest and Recursive Feature Elimination strategies to construct a multiclass diagnostic model. The performance of the model was validated through 10-fold cross-validation and evaluated using confusion matrices, receiver operating characteristic curves, and calibration curves. Metabolomics was used to identify 1491 metabolites, with 216, 567, and 295 distinctly present among the healthy controls, patients with stable angina pectoris, and those with acute myocardial infarction, respectively. This implicated pathways such as the glucagon signaling pathway, d-amino acid metabolism, pyruvate metabolism, and amoebiasis across various stages of coronary heart disease. After selection, testosterone isobutyrate, N-acetyl-tryptophan, d-fructose, l-glutamic acid, erythritol, and gluconic acid were identified as core metabolites in the multiclass diagnostic model. Evaluating the diagnostic model demonstrated its high discriminative ability and accuracy. This study revealed metabolic pathway perturbations at different stages of coronary heart disease, and a precise multiclass diagnostic model was established based on these findings. This study provides new insights and tools for the early diagnosis and treatment of coronary heart disease.

Library-Based Raman Spectral Identification Using Multi-Input Hybrid ResNet.

Raman spectroscopy is widely used for its exceptional identification capabilities in various fields. Traditional methods for target identification using Raman spectroscopy rely on signal correlation with moving windows, requiring data preprocessing that can significantly impact identification performance. In recent years, deep-learning approaches have been proposed to leverage data augmentation techniques, such as baseline and additive noise addition, in order to overcome data scarcity. However, these deep-learning methods are limited to the spectra encountered during training and struggle to handle unseen spectra. To address these limitations, we propose a multi-input hybrid deep-learning model trained with simulated spectral data. By employing simulated spectra, our method tackles the challenges of data scarcity and the handling of unseen spectra encountered in traditional and deep-learning methods. Experimental results demonstrate that our proposed method achieves outstanding identification performance and effectively handles spectra obtained from different Raman spectroscopy systems.

Deep Learning-Based Optimization Algorithm for Enterprise Personnel Identity Authentication.

Enterprise strategic management is not only an important part of enterprise work, but also an important factor to deepen the reform of management system and promote the centralized and unified management of enterprises. Enterprise strategic management is to study the major problems of survival and development of enterprises in the competitive environment from the overall and long-term point of view. It is the most important function of senior leaders of modern enterprises. Starting from the characteristics of the recognition object, this paper analyzes the individual differences of biometrics through intelligent face image recognition technology to identify biometrics, which can be used to identify different individuals. This paper studies the main problems of personnel identity authentication in the current enterprise strategic management system. Based on identity management and supported by face image recognition technology, deep learning, and cloud computing technology, the personnel management model of the management system is constructed, which solves the problems of personnel real identity authentication and personnel safety behavior control. Experiments show that the model can simplify the workflow, improve the operation efficiency, and reduce the management cost. From the perspective of enterprise system development, building a scientific enterprise strategic management system is of great significance to improve the scientific level of enterprise system management.

Rumex hanus by. Extract Protects Against Chronic Alcohol-Induced Liver Injury in Mice.

Alcoholic liver disease (ALD) has become a global health problem. The hepatoprotective effects of bioactive ingredients extracted from Rumex hanus by. on chronic alcoholic liver injury was investigated for the first time. The extract from R. hanus by. (ERHB) was obtained by 70% ethanol extraction, and the endotoxin antagonism rate of ERHB was 88.94 ± 1.24% in vitro. The animal experiments demonstrated that ERHB promoted hepatic function by significantly enhancing the activities of alcohol dehydrogenase and acetaldehyde dehydrogenase, and by reducing the activities of cytochrome P450 proteins, alkaline phosphatase, aspartate aminotransferase, and alanine aminotransferase. Furthermore, ERHB improved alcohol-induced dyslipidemia by regulating lipid metabolism. In addition, ERHB ameliorated the alcohol-induced liver injury by inhibiting endotoxin-caused inflammation. Seven compounds with antagonistic activity on endotoxin were identified in ERHB. These results demonstrated that ERHB had protective effects on ALD and if the results can be confirmed in humans, it might be useful as a functional food supplement for ALD treatment.

Vacuolar protein sorting-associated protein 72 homolog (VPS72) binding to lysine acetyltransferase 5 (KAT5) promotes the proliferation, invasion and migration of hepatocellular carcinoma through regulating phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) signaling pathway.

Hepatocellular carcinoma, a fatal malignancy that occurs in the liver, poses a major public health challenge. This paper attempted to clarify the role and mechanism of vacuolar protein sorting-associated protein 72 homolog (VPS72) in the progression of hepatocellular carcinoma. Firstly, VPS72 expression in hepatocellular carcinoma tissues and the prognostic correlation were analyzed by GEPIA2 database. Western blotting and RT-qPCR assays were used to evaluate VPS72 expression in several hepatocellular carcinoma cell lines. Then, cell proliferation was assessed by cell counting kit-8 and colony formation in HuH-7 cells with VPS72 silencing. Measurement of cell invasion and migration by transwell and wound healing assays. Next, the relationship between VPS72 and lysine acetyltransferase 5 (KAT5) was predicted by bioGRID, STRING and GEIPA2 databases, which was confirmed by Co-immunoprecipitation assay. Subsequently, KAT5 was overexpressed to explore whether VPS72 could regulate the progression of hepatocellular carcinoma by binding to KAT5. And the expression of proteins related to PI3K/AKT signaling was tested with western blotting. Results indicated that VPS72 was highly expressed in hepatocellular carcinoma tissues and cell lines and was associated with poor prognosis. VPS72 knockdown inhibited the proliferation, invasion and migration of HuH-7 cells. In addition, VPS72 could bind to KAT5. KAT5 overexpression reversed the suppressive impacts of VPS72 knockdown on the proliferation, invasion and migration in HuH-7 cells. Besides, VPS72 silencing downregulated p-PI3K and p-AKT expression, which was restored by KAT5 overexpression. Collectively, VPS72 binding to KAT5 promotes the progression of hepatocellular carcinoma through the regulation of PI3K/AKT signaling pathway.

[Bionic model for coordinated head-eye motion control].

The relationships between eye movements and head movements of the primate during gaze shifts are analyzed in detail in the present paper. Applying the mechanisms of neurophysiology to engineering domain, we have improved the robot eye-head coordination. A bionic control strategy of coordinated head-eye motion was proposed. The processes of gaze shifts are composed of an initial fast phase followed by a slow phase. In the fast phase saccade eye movements and slow head movements were combined, which cooperate to bring gaze from an initial resting position toward the new target rapidly, while in the slow phase the gaze stability and target fixation were ensured by the action of the vestibulo-ocular reflex (VOR) where the eyes and head rotate by equal amplitudes in opposite directions. A bionic gaze control model was given. The simulation results confirmed the effectiveness of the model by comparing with the results of neurophysiology experiments.

Secondary metabolites of Galactomyces geotrichum from Laminaria japonica ameliorate cognitive deficits and brain oxidative stress in D-galactose induced Alzheimer's disease mouse model.

Accumulating evidences have shown the beneficial effects of natural products for Alzheimer's disease (AD) treatment. The present study was designed to investigate the neuroprotective effects of secondary metabolites of Galactomyces geotrichum (SMGG) on D-galactose induced AD mice. SMGG was extracted and its toxicological evaluation was conducted. To explore the neuroprotective mechanism responsible for anti-AD activity of SMGG, spatial learning and memory behavioral, oxidative stress levels, acetylcholinesterase and choline acetyltransferase activity assays were employed. The AD mice received SMGG treatment exhibited significant improvement in cognitive performance, enhanced antioxidant capacity, decreased acetylcholinesterase activity and increased choline acetyltransferase activity. Meanwhile, SMGG had no toxicity and seven compounds were separated from it: 7,8-dimethyl-iso-alloxazine, 1-methyl-3-benzyl-6-(4-hydroxybenzyl)-2,5-piperzainedione, cyclo-(Phe-Pro), cyclo-(Leu-Pro), cyclo-(Pro-Gly), cyclo-(Gly-Leu) and uracil, respectively. Overall, these data suggested that SMGG protects the brain against D-galactose induced cognitive impairment, oxidative damages and acetylcholine content decrease in AD mice.

Pandemics and Income Inequality: What Do the Data Tell for the Globalization Era?

This paper empirically investigates the effects of pandemics uncertainty on income inequality We consider a new measure of pandemics uncertainty, the World Pandemic Discussion Index (WPDI), and the post-tax (net) Gini coefficient We focus on the panel data of 141 countries from 1996 to 2020. The results from the Feasible General Least Squares estimations indicate that the WPDI is negatively related to income inequality in 107 non-OECD countries. However, the WPDI is positively associated with income inequality in 34 OECD economies. This evidence remains robust when considering different models, including several controls, and implementing various sensitivity analyses.

Economic Policy Uncertainty in China and Bitcoin Returns: Evidence From the COVID-19 Period.

This paper analyses the effects of the Chinese Economic Policy Uncertainty (CEPU) index on the daily returns of Bitcoin for the period from December 31, 2019 to May 20, 2020. Utilizing the Ordinary Least Squares (OLS) and the Generalized Quantile Regression (GQR) estimation techniques, the paper illustrates that the current CEPU has a positive impact on the returns of Bitcoin. However, the positive impact is statistically significant only at the higher quantiles of the current CEPU. It is concluded that Bitcoin can be used in hedging against policy uncertainties in China since significant rises in uncertainty leads to a higher return in Bitcoin. JEL Codes: G32; G15; C22.

Effects on Suxiao Jiuxin Pills in the Treatment of Patients with Acute Coronary Syndrome Undergoing Early Percutaneous Coronary Intervention: A Multicenter Randomized Double-Blind Placebo-Controlled Trial.

Objectives: Acute coronary syndrome (ACS) is an acute disease with high mortality. Although early percutaneous coronary intervention (PCI) is proved to be the practical approach in treating ACS, the incidence of cardiovascular events is still far from satisfactory. The combination of Suxiao Jiuxin Pill (SJP) and Western medicine is one conventional approach in the treatment of ACS. Many elementary and clinical trials have proved the efficacy and safety in the improvement of cardiocerebral vascular conditions. The aim of this project is to evaluate the safety and efficacy of SJP on ACS with early PCI patients. Trial Design: This is a multicenter randomized, double-blind placebo-controlled trial. Trial registration: ChiCTR-TRC-13003053. Settings: Hospitals. Subjects: A total of 200 ACS with early PCI patients were randomly divided into SJP group (n = 100) and placebo group (n = 100). Interventions: The SJP group was treated with routine treatment and SJP (taking eight SJP pills orally each time, three times per day). The placebo group was treated with routine treatment along with equal amounts of SJP placebo. The course of treatment was 6 months and a follow-up visit at 12 months. Outcome Measures: Assessments of major adverse cardiovascular events (MACE), safety assessments, adverse events, left ventricular systolic function (LVEF), Seattle angina questionnaire (SAQ), troponin C (cTNI), C-reactive protein (CRP), fibrinogen (Fib), and cystatin C (cysC). Results: The SJP group had a relatively low incidence of MACE than the placebo (p < 0.05, odds ratio: 1.916, 95% confidence interval [0.999-3.674]). LVEF was significantly higher in the SJP group than the placebo group on the 360-day follow-up (p < 0.01). SJP had a significant increase score in the SAQ subscale of physical limitation, angina frequency, and treatment satisfaction (p < 0.05). There is no significant difference in the cTNI and CRP level between the two groups. The serum concentration of Fib and cysC in the SJP was significantly decreased compared with the placebo (p < 0.05). The numbers of adverse events between the two groups were not statistically different (p > 0.05). Conclusions: SJP is associated with a reduction in MACE, and an improvement of heart function and quality of life in ACS patients with early PCI, and is probably safe to use.

Influence of fermentation on antioxidant and hypolipidemic properties of maifanite mineral water-cultured common buckwheat sprouts.

Buckwheat sprouts (BS) becomes popular due to its' health-promoting properties as food product. The effects of fermentation with Saccharomyces cerevisiae and Lactobacillus plantarum on antioxidant and hypolipidemic activities as well as functional composition in common BS cultivated in maifanite mineral water were investigated here. DPPH and ·OH results showed higher antioxidant potential in fermented BS compared to unfermented BS, due to the higher rutin, orientin, isoorientin, vitexin, isovitexin, and total phenolic and flavonoid contents. The S. cerevisiae-fermented BS also exhibited 113% and 110% higher DPPH and ·OH scavenging activities than the L. plantarum-fermented BS, respectively. In hyperlipidemic mice, blood lipid parameters were improved as dose-dependent manner when supplemented the food with S. cerevisiae-fermented BS. Fermented BS also restored liver antioxidant levels significantly. The fermented BS had greater effect on different parameters than those of unfermented BS. Therefore, fermentation is a valuable method to enhance the bioactive potential of BS.