Deep learning assists detection of esophageal cancer and precursor lesions in a prospective, randomized controlled study.

Endoscopy is the primary modality for detecting asymptomatic esophageal squamous cell carcinoma (ESCC) and precancerous lesions. Improving detection rate remains challenging. We developed a system based on deep convolutional neural networks (CNNs) for detecting esophageal cancer and precancerous lesions [high-risk esophageal lesions (HrELs)] and validated its efficacy in improving HrEL detection rate in clinical practice (trial registration ChiCTR2100044126 at www.chictr.org.cn). Between April 2021 and March 2022, 3117 patients ≥50 years old were consecutively recruited from Taizhou Hospital, Zhejiang Province, and randomly assigned 1:1 to an experimental group (CNN-assisted endoscopy) or a control group (unassisted endoscopy) based on block randomization. The primary endpoint was the HrEL detection rate. In the intention-to-treat population, the HrEL detection rate [28 of 1556 (1.8%)] was significantly higher in the experimental group than in the control group [14 of 1561 (0.9%), P = 0.029], and the experimental group detection rate was twice that of the control group. Similar findings were observed between the experimental and control groups [28 of 1524 (1.9%) versus 13 of 1534 (0.9%), respectively; P = 0.021]. The system's sensitivity, specificity, and accuracy for detecting HrELs were 89.7, 98.5, and 98.2%, respectively. No adverse events occurred. The proposed system thus improved HrEL detection rate during endoscopy and was safe. Deep learning assistance may enhance early diagnosis and treatment of esophageal cancer and may become a useful tool for esophageal cancer screening.

Preoperative automatic reminder systems and impact on quality and compliance with colonoscopy preparation: A multicenter randomized controlled trial.

OBJECTIVES: Traditional preoperative reminding services have been applied to enhance the quality of bowel preparation for colonoscopy. In this study we aimed to evaluate the effectiveness of an automated electronic reminder system (E-reminder) on improving bowel preparation and the quality of preoperative education before colonoscopy. METHODS: From August 2021 to March 2022, 833 outpatients aged 50-75 years who underwent colonoscopy were included and randomly assigned to the E-reminder group and the control group. While the control group received routine preoperative education. The E-reminder group received automatic phone call, text message reminders and web services regarding the details of bowel preparation before the colonoscopic examination. The quality of bowel preparation was evaluated by the Boston Bowel Preparation Scale (BBPS) score and the previously validated objective evaluation scale of automatic BBPS (e-BBPS). RESULTS: In manual assessment, the rate of adequate bowel preparation was improved in the E-reminder group of intention-to-treat population using BBPS (60.7% vs 54.5%, P = 0.01). The percentage of objective evaluated adequate bowel preparation using e-BBPS in the E-reminder group of per-protocol population was significantly higher than that in the control group (76.9% vs 69.2%, P = 0.02). CONCLUSIONS: E-reminder was an effective tool to improve the quality of bowel preparation and compliance with medical instructions. It may be regarded as an efficient and convenient education tool, improving the quality of medical service.

Synergistic Antibacterial Surface with Liquid Repellency and Enhanced Photothermal Bactericidal Activity.

The presence of microorganisms on biomedical devices and food packaging surfaces poses an important threat to human health. Superhydrophobic surfaces, a powerful tool to combat pathogenic bacterial adhesion, are threatened by their poor robustness. As a supplement, photothermal bactericidal surfaces may be expected to kill adhered bacteria. Using copper mesh as a mask, we prepared a superhydrophobic surface with a homogeneous conical array. The surface shows synergistic antibacterial properties, including a superhydrophobic character against bacterial adhesion and photothermal bactericidal activity. As a result of the excellent liquid repellency, the surface could highly repel the adherence of bacteria after immersing in a bacterial suspension for 10 s (95%) and 1 h (57%). Photothermal graphene can easily eliminate most adhered bacteria during the subsequent treatment of near-infrared (NIR) radiation. After a self-cleaning wash, the deactivated bacteria were easily rinsed off the surface. Furthermore, this antibacterial surface exhibited an approximately 99.9% resisted bacterial adhesion rate regardless of planar and various uneven surfaces. The results offer promising advancement of an antibacterial surface combining both adhesion resistance and photothermal bactericidal activity in fighting microbial infections.

Application of Adaptive Laboratory Evolution in Lipid and Terpenoid Production in Yeast and Microalgae.

Due to the complexity of metabolic and regulatory networks in microorganisms, it is difficult to obtain robust phenotypes through artificial rational design and genetic perturbation. Adaptive laboratory evolution (ALE) engineering plays an important role in the construction of stable microbial cell factories by simulating the natural evolution process and rapidly obtaining strains with stable traits through screening. This review summarizes the application of ALE technology in microbial breeding, describes the commonly used methods for ALE, and highlights the important applications of ALE technology in the production of lipids and terpenoids in yeast and microalgae. Overall, ALE technology provides a powerful tool for the construction of microbial cell factories, and it has been widely used in improving the level of target product synthesis, expanding the range of substrate utilization, and enhancing the tolerance of chassis cells. In addition, in order to improve the production of target compounds, ALE also employs environmental or nutritional stress strategies corresponding to the characteristics of different terpenoids, lipids, and strains.

The Feasibility of Applying Artificial Intelligence to Gastrointestinal Endoscopy to Improve the Detection Rate of Early Gastric Cancer Screening.

Convolutional neural networks in the field of artificial intelligence show great potential in image recognition. It assisted endoscopy to improve the detection rate of early gastric cancer. The 5-year survival rate for advanced gastric cancer is less than 30%, while the 5-year survival rate for early gastric cancer is more than 90%. Therefore, earlier screening for gastric cancer can lead to a better prognosis. However, the detection rate of early gastric cancer in China has been extremely low due to many factors, such as the presence of gastric cancer without obvious symptoms, difficulty identifying lesions by the naked eye, and a lack of experience among endoscopists. The introduction of artificial intelligence can help mitigate these shortcomings and greatly improve the accuracy of screening. According to relevant reports, the sensitivity and accuracy of artificial intelligence trained on deep cirrocumulus neural networks are better than those of endoscopists, and evaluations also take less time, which can greatly reduce the burden on endoscopists. In addition, artificial intelligence can also perform real-time detection and feedback on the inspection process of the endoscopist to standardize the operation of the endoscopist. AI has also shown great potential in training novice endoscopists. With the maturity of AI technology, AI has the ability to improve the detection rate of early gastric cancer in China and reduce the death rate of gastric cancer related diseases in China.

Suppression of angiotensin II-activated NOX4/NADPH oxidase and mitochondrial dysfunction by preserving glucagon-like peptide-1 attenuates myocardial fibrosis and hypertension.

This study aims to investigate whether stabilization of glucagon-like peptide-1 (GLP-1) level reduces angiotensin II (Ang II)-induced cardiac fibrosis and -elevated blood pressure accompanying with inhibition of NADPH oxidase (NOX) expression and preservation of mitochondrial integrity. The study was performed in Sprague-Dawley rat model of Ang II infusion (500 ng/kg/min) using osmotic minipumps for 4 weeks. GLP-1 receptor agonist liraglutide (0.3 mg/kg, injected subcutaneously twice daily) and dipeptidyl peptides-4 inhibitor, linagliptin (8 mg/kg, administered via oral gavage) were selected to preserve GLP-1 level. Blood pressure was measured noninvasively. Heart and aorta were saved for histological analysis. Relative to the animals with Ang II infusion, in the heart, liraglutide and linagliptin comparatively reduced the protein levels of NOX4 and TGFß1 and expression of monocyte chemoattractant protein 1, and attenuated the proliferation of myofibroblasts (15 ± 4 and 13 ± 3 vs. 42 ± 22/HPF in Ang II group). The number of distorted mitochondria in both groups was significantly reduced (8 ± 4 and 10 ± 6 vs. 27 ± 13/HPF in Ang II group), in company with a significant reduction in cardiac fibrosis. In the aorta, treatment with liraglutide and linagliptin significantly downregulated the expression of NOX4 and intercellular adhesion molecule 1, and enhanced endothelial NOS expression. Aortic wall thickness was reduced comparatively (267 ± 22 and 286 ± 25 vs. 339 ± 40 µm in Ang II group). The area of fibrotic aorta was also reduced (13 ± 6 and 14 ± 5 vs. 38 ± 24 mm2 in Ang II group), respectively, in coincidence with a significant reduction in mean blood pressure. Taken together, these results suggest that the conservation of GLP-1 level with exogenous supply of liraglutide or the prevention of endogenous degradation of GLP-1 with linagliptin protects against Ang II-induced injury in the heart and aorta, potentially associated with inhibition of NOX4 expression and preservation of mitochondrial integrity.

Mechanisms of Compound Kushen Injection for the treatment of bladder cancer based on bioinformatics and network pharmacology with experimental validation.

Bladder cancer is the most common malignancy of the urinary system. Compound Kushen Injection (CKI) is a Chinese medicinal preparation that has been widely used in the treatment of various types of cancers in the past two decades. However, the pharmacological effect of CKI on bladder cancer is not still completely understood. In the current study, network pharmacology combined with bioinformatics was used to elucidate the therapeutic mechanism and potential targets of CKI in bladder cancer. The mechanism by which CKI was effective against bladder cancer was further verified in vitro using human bladder cancer cell line T24. Network pharmacology analysis identified 35 active compounds and 268 target genes of CKI. Bioinformatics data indicated 5500 differentially expressed genes associated with bladder cancer. Common genes of CKI and bladder cancer suggested that CKI exerted anti-bladder cancer effects by regulating genes such as MMP-9, JUN, EGFR, and ERK1. Functional enrichment analysis indicated that CKI exerted therapeutic effects on bladder cancer by regulating certain biological processes, including cell proliferation, cell migration, and cell apoptosis. In addition, Kyoto Encyclopedia of Genes and Genomes enrichment analysis implicated pathways related to cancer, bladder cancer, and the PI3K-Akt signaling pathway. Consistently, cell experiments indicated that CKI inhibited the proliferation and migration of T24 cells, and induced their apoptosis. Moreover, RT-qPCR and Western blot results demonstrated that CKI was likely to treat bladder cancer by down-regulating the gene and protein expression of MMP-9, JUN, EGFR, and ERK1. CKI inhibited the proliferation and migration, and induced the apoptosis of T24 bladder cancer cells through multiple biological pathways and targets. CKI also exhibited significant effects on the regulation of key genes and proteins associated with bladder cancer. Overall, our findings provide solid evidence and deepen current understanding of the therapeutic effects of CKI for bladder cancer, and further support its clinical use.

Beneficial effects of endoscopic screening on gastric cancer and optimal screening interval: a population-based study.

BACKGROUND : The effectiveness of endoscopic screening on gastric cancer has not been widely investigated in China and the screening interval of repeated screening has not been determined. METHODS : In a population-based prospective study, we included 375,800 individuals, 14,670 of whom underwent endoscopic screening (2012-2018). We assessed the associations between endoscopic screening and risk of incident gastric cancer and gastric cancer-specific mortality, and examined changes in overall survival and disease-specific survival following screening. The optimal screening interval for repeated endoscopy for early detection of gastric cancer was explored. RESULTS : Ever receiving endoscopic screening significantly decreased the risk of invasive gastric cancer (age- and sex-adjusted relative risk [RR] 0.69, 95 % confidence interval [CI] 0.52-0.92) and gastric cancer-specific mortality (RR 0.33, 95 %CI 0.20-0.56), particularly for noncardia gastric cancer. Repeated screening strengthened the beneficial effect on invasive gastric cancer-specific mortality of one-time screening. Among invasive gastric cancers, screening-detected individuals had significantly better overall survival (RR 0.18, 95 %CI 0.13-0.25) and disease-specific survival (RR 0.18, 95 %CI 0.13-0.25) than unscreened individuals, particularly for those receiving repeated endoscopy. For individuals with intestinal metaplasia or low grade intraepithelial neoplasia, repeated endoscopy at an interval of < 2 years, particularly within 1 year, significantly enhanced the detection of early gastric cancer, compared with repeated screening after 2 years (P-trend = 0.02). CONCLUSION : Endoscopic screening prevented gastric cancer occurrence and death, and improved its prognosis in a population-based study. Repeated endoscopy enhanced the effectiveness. Screening interval should be based on gastric lesion severity.

pH-Responsive Smart Wettability Surface with Dual Bactericidal and Releasing Properties.

Biomaterial-associated infections caused by pathogenic bacteria have important implications on human health. This study presents the design and preparation of a smart surface with pH-responsive wettability. The smart surface exhibited synergistic antibacterial function, with high liquid repellency against bacterial adhesion and highly effective bactericidal activity. The wettability of the surface can switch reversibly between superhydrophobicity and hydrophobicity in response to pH; this controls bacterial adhesion and release. Besides, the deposited silver nanoparticles of the surface were also responsible for bacterial inhibition. Benefiting from the excellent liquid repellency, the surface could highly resist bacterial adhesion after immersing in a bacterial suspension for 10 s (85%) and 1 h (71%). Adhered bacteria can be easily eliminated using deposited silver nanoparticles during the subsequent treatment of alkaline bacterial suspension, and the ratio of deactivated bacteria was above 75%. After the pH returned to neutral, the deactivated bacteria can be easily released from the surface. This antibacterial surface showed an improved bacterial removal efficiency of about 99%. The results shed light on future antibacterial applications of the smart surface combining both bactericidal and adhesion-resistant functionalities.

Use of Artificial Intelligence to Improve the Quality Control of Gastrointestinal Endoscopy.

With the rapid development of science and technology, artificial intelligence (AI) systems are becoming ubiquitous, and their utility in gastroenteroscopy is beginning to be recognized. Digestive endoscopy is a conventional and reliable method of examining and diagnosing digestive tract diseases. However, with the increase in the number and types of endoscopy, problems such as a lack of skilled endoscopists and difference in the professional skill of doctors with different degrees of experience have become increasingly apparent. Most studies thus far have focused on using computers to detect and diagnose lesions, but improving the quality of endoscopic examination process itself is the basis for improving the detection rate and correctly diagnosing diseases. In the present study, we mainly reviewed the role of AI in monitoring systems, mainly through the endoscopic examination time, reducing the blind spot rate, improving the success rate for detecting high-risk lesions, evaluating intestinal preparation, increasing the detection rate of polyps, automatically collecting maps and writing reports. AI can even perform quality control evaluations for endoscopists, improve the detection rate of endoscopic lesions and reduce the burden on endoscopists.

Dried sludge reburning blended with calcium magnesium acetate addition in a fluidized bed combustor.

The combustion and pollutant emission characteristics of the dried sludge in a fluidized bed combustor (FBC) were studied. The sludge reburning technology was employed for the first time in FBC. A scheme for using the dried sludge reburning blended with calcium magnesium acetate (CMA) to reduce pollutants simultaneously was also proposed, and the effect of the CMA addition was investigated. Results showed that fluidized bed reburning technology can be used to effectively treat the sewage sludge with lower calorific values. As the secondary fuel mass percentage increases, the unburned carbon content in fly ash and the CO emission increase, resulting in lower combustion efficiency. However, the de-NO ratio increases from 37.1% to 53.7%, and the de-SO2 ratio only increased from 1.6% to 7.6% as the secondary fuel mass percentage increase from 10% of 25%. For dried sludge blended with CMA, the minimum emissions of SO2 and NO significantly decrease to 254 mg/Nm3 and 70.9 mg/Nm3 at Ca/S ratio of 2, respectively. Results of main gaseous pollutant emissions from the sludge combustion in an FBC using different pollutant removal methods were compared under well-defined conditions. Fuel reburning blended with CMA addition has the smallest SO2 and NO emissions.

Double-hit lymphoma (rearrangements of MYC, BCL-2) during pregnancy: A case report.

BACKGROUND: Double-hit lymphoma is a highly aggressive B-cell lymphoma that is genetically characterized by rearrangements of MYC and BCL2 and/or BCL6. Lymphoma is often accompanied by atypical systemic symptoms similar to physiological changes during pregnancy and is often ignored. Herein, we describe a gravid patient with high-grade B-cell lymphoma with a MYC and BCL-2 gene rearrangement involving multiple parts of the body. CASE SUMMARY: A 32-year-old female, gestational age 22+5 wk, complained of abdominal distension, chest tightness and limb weakness lasting approximately 4 wk, and ovarian tumors were found 14 d ago. Auxiliary examinations and a trimanual gynecologic examination suggested malignant ovarian tumor and frozen pelvis. Coupled with rapid progression, severe compression symptoms of hydrothorax, ascites and moderate anemia, labor was induced. Next, biopsy and imaging examinations showed high-grade B-cell lymphoma with a MYC and BCL-2 gene rearrangement involving multiple parts of the body. She was referred to the Department of Oncology and Hematology for chemotherapy. Because of multiple recurrences after complete remission, chemotherapy plans were continuously adjusted. At present, the patient remains in treatment and follow-up. CONCLUSION: The early detection and accurate diagnosis of lymphoma during pregnancy can help expedite proper multidisciplinary treatment to delay disease progression and decrease the mortality rate.

Long non-coding RNA MEG3 inhibits M2 macrophage polarization by activating TRAF6 via microRNA-223 down-regulation in viral myocarditis.

Viral myocarditis (VMC) commonly triggers heart failure, for which no specific treatments are available. This study aims to explore the specific role of long non-coding RNA (lncRNA) maternally expressed 3 (MEG3) in VMC. A VMC mouse model was induced by Coxsackievirus B3 (CVB3). Then, MEG3 and TNF receptor-associated factor 6 (TRAF6) were silenced and microRNA-223 (miR-223) was over-expressed in the VMC mice, followed by determination of ventricular ejection fraction (LVEF) and left ventricular fractional shortening (LVFS). Dual-luciferase reporter assay was introduced to test the interaction among MEG3, TRAF6 and miR-223. Macrophages were isolated from cardiac tissues and bone marrow, and polarization of M1 or M2 macrophages was induced. Then, the expressions of components of NLRP3 inflammatory body (NLRP3, ASC, Caspase-1), M1 markers (CD86, iNOS and TNF-α) and M2 markers (CD206, Arginase-1 and Fizz-1) were measured following MEG3 silencing. In the VMC mouse model, MEG3 and TRAF6 levels were obviously increased, while miR-223 expression was significantly reduced. Down-regulation of MEG3 resulted in the inhibition of TRAF6 by promoting miR-223. TRAF6 was negatively correlated with miR-223, but positively correlated with MEG3 expression. Down-regulations of MEG3 or TRAF6 or up-regulation of miR-223 was observed to increase mouse weight, survival rate, LVEF and LVFS, while inhibiting myocarditis and inflammation via the NF-κB pathway inactivation in VMC mice. Down-regulation of MEG3 decreased M1 macrophage polarization and elevated M2 macrophage polarization by up-regulating miR-223. Collectively, down-regulation of MEG3 leads to the inhibition of inflammation and induces M2 macrophage polarization via miR-223/TRAF6/NF-κB axis, thus alleviating VMC.

Glucagon-like peptide 1 treatment reverses vascular remodelling by downregulating matrix metalloproteinase 1 expression through inhibition of the ERK1/2/NF-κB signalling pathway.

In addition to serving as an incretin-based treatment of type 2 diabetes mellitus (T2DM), glucagon-like peptide 1 (GLP-1) can also reverse cardiovascular diseases caused by vascular remodelling. However, a detailed mechanism underlying how GLP-1 reverses vascular remodelling remains unclear. Here, Spontaneous hypertension rats (SHR) were used as an in vivo model of vascular remodelling. Treatment with a GLP-1 receptor (GLP-1R) agonist Liraglutide or dipeptidyl peptidase 4 (DPP4) inhibitor Alogliptin decreased systolic blood pressure (SBP), diastolic blood pressure (DBP), thickness of vascular wall, and overall collagen levels in SHR. In vitro vascular remodelling can be induced by exposing rat aortic smooth muscle cells (RASMC) to angiotensin II (Ang II); GLP-1 treatment attenuated AngII induction of RASMC proliferation, migration, and excessive extracellular matrix (ECM) degradation. Downregulation of matrix metalloproteinase 1 (MMP1) enhanced the inhibitory effects of GLP-1, and extracellular regulated protein kinase 1/2 (ERK1/2) and nuclear factor kappa-B (NF-κB) signalling participated in these processes. These results provide a new mechanistic understanding of key therapeutic strategies for the treatment of vascular remodelling-related diseases.

Hypoglycemic agents for non-alcoholic fatty liver disease with type 2 diabetes mellitus: A protocol for systematic review and network meta-analysis.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease in Western countries, and strongly associated with type 2 diabetes mellitus (T2DM). Several studies have shown that hypoglycemic agents are effective for NAFLD combined with T2DM. However, there is still controversy over which hypoglycemic agent is the best for NAFLD combined with T2DM patients. OBJECTIVE: To systematically evaluate the efficacy and safety of hypoglycemic agents in NAFLD combined with T2DM patients. METHODS: A comprehensive electronic search will be conducted by searching Web of Science, PubMed, EMBASE, Cochrane Central Register of Controlled Trials, Clinical Trials and Chinese Biomedical Medicine. All randomized controlled trials of hypoglycemic agents interventions for NAFLD combined with T2DM will be identified. Two reviewers independently screened and evaluated each included study and extracted the outcome indexes. ADDIS 1.16.8 software will be used for the network meta-analysis and STATA 14 software will be used for drawing network evidence plots and funnel plots. CONCLUSION: This network meta-analysis will provide stronger evidence for the efficacy and safety of hypoglycemic agents in the treatment of NAFLD combined with T2DM, and provide a reference for clinical application. PROTOCOL REGISTRATION NUMBER: INPLASY202070016.

Measuring Self-Efficacy and Readiness for Advance Care Planning in Chinese Older Adults.

CONTEXT: Self-efficacy and readiness for advance care planning (ACP) is underresearched in the Chinese population given that these are novel concepts in the culture. OBJECTIVES: To translate the self-efficacy and readiness subscales of the ACP Engagement Scale into Chinese using the Brislin's Model and test its psychometric properties in Chinese older adults. METHODS: Content validity and face validity were established based on the views of a group of experts and older adults. Then, a survey was conducted with a convenience sample of 204 community-dwelling older adults. Convergent validity was evaluated using Pearson's correlation coefficients with the SURE test, a decisional conflict scale. The scores between older adults who had hospitalization experience in the previous year and those who did not have were compared to examine discriminant validity. RESULTS: The findings showed that the Chinese subscales had good internal consistency (Cronbach's α 0.94-0.97) and acceptable one-week test-retest reliability (intraclass correlation coefficient 0.66-0.70). There was a significantly high correlation between the self-efficacy and the readiness subscales (r = 0.809; P < 0.01) and moderate correlation between the two subscales and the SURE test (r = 0.509-0.587; P < 0.01). Discriminant validity was supported by significant differences between older adults who had hospitalization experience in the last year and those who did not have (P < 0.05). CONCLUSION: The Chinese readiness and self-efficacy subscales of the ACP Engagement Survey are valid and reliable tools for assessing the preparedness of the Chinese older adults for ACP.

A network pharmacology approach to investigate the mechanism of Shuxuening injection in the treatment of ischemic stroke.

ETHNOPHARMACOLOGICAL RELEVANCE: Shuxuening injection (SXNI), a popular herbal medicine, is an extract of Ginkgo biloba leaves (GBE), and is used to treat ischemic stroke (IS) in China. However, its specific active ingredients and molecular mechanisms in IS remain unclear. AIM OF THE STUDY: The purpose of the research is to identify the main active ingredients in GBE and explore its molecular mechanisms in the treatment of IS. MATERIALS AND METHODS: The main active components of GBE were discerned through the Traditional Chinese Medicine Systems Pharmacology Database and Analysis (TCMSP), Traditional Chinese Medicine Integrated Database (TCMID), Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine (BATMAN-TCM) database, and absorption, distribution, metabolism and excretion (ADME) analysis. The targets related to IS were obtained using Genecards, Online Mendelian Inheritance in Man (OMIM), Therapeutic Target Database (TTD), and Disgenet. We discovered an intersection of genes. Subsequently, protein-protein interaction (PPI) networks were constructed with Cytoscape 3.7.1 and the String database. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to analyze the intersection of targets via the Database for Annotation, Visualization, and Integrated Discovery (DAVID) 6.8. Built on the above analysis, we made a Compound-Target-Pathway (C-T-P) network. Autodock Vina was used for molecular docking analysis. Maestro 11.9 was used to calculate the root-mean-square deviation (RMSD). Animal experiments were performed to verify the core targets. Triphenyl tetrazolium chloride (TTC) staining was used to calculate the infarct volume in rats. Hematoxylin-eosin (HE) staining was employed to observe the morphology of hippocampal neuron cells. RT-qPCR was applied to detect relative mRNA levels, and protein expression was determined using Western blotting. RESULTS: Molecular docking showed that PTGS2, NOS3 and CASP3 docked with small molecule compounds. According to RT-qPCR and Western blotting, mRNA and protein expression of PTGS2 and CASP3 were up-regulated (P < 0.05), and mRNA and protein levels of NOS3 were down-regulated (P < 0.05). CONCLUSIONS: SXNI can treat IS through multiple targets and routes, and reduce the apoptosis of neuron cells in brain tissue by inhibiting inflammation and regulating the level of oxidative stress, thereby protecting rats brain tissue.

Efficacy and Safety of Dulaglutide Monotherapy Compared to Glimepiride in Oral Antihyperglycemic Medication-Naïve Chinese patients with Type 2 Diabetes: A Post Hoc Analysis of AWARD-CHN1.

INTRODUCTION: Glucagon-like peptide (GLP)-1 receptor agonists are glucose-lowering agents associated with weight loss, cardiovascular benefits, and low hypoglycemic risk and are recommended by recent guidelines as first-line therapy for some patients with type 2 diabetes (T2D). This post hoc analysis of the AWARD-CHN1 study compared the efficacy and safety of once-weekly dulaglutide with glimepiride in oral antihyperglycemic medication (OAM)-naïve Chinese patients with T2D. METHODS: AWARD-CHN1 was a phase 3, double-blind study with 737 patients randomized 1:1:1 to once-weekly dulaglutide (1.5 or 0.75 mg) or glimepiride (1-3 mg/day). This is a post hoc analysis of AWARD-CHN1 based on mixed-model repeated measures using a modified intent-to-treat analysis set with only the OAM-naïve Chinese population. RESULTS: There were 264 OAM-naïve Chinese patients included in this analysis (dulaglutide 1.5 mg, n = 87; dulaglutide 0.75 mg, n = 90; glimepiride, n = 87). A greater glycated hemoglobin (HbA1c) reduction from baseline was observed with dulaglutide 1.5 mg and 0.75 mg compared to glimepiride (- 2.02% and - 1.84% vs - 1.37%, respectively; both P < 0.001). Significantly more patients in dulaglutide 1.5 mg and 0.75 mg groups achieved HbA1c targets < 7.0% compared to glimepiride (86.2% and 81.1% vs 65.5%; P = 0.002 and P = 0.026, respectively). Beta cell function was significantly increased for dulaglutide groups compared to glimepiride. Mean body weight was significantly reduced for dulaglutide 1.5 mg and 0.75 mg compared to glimepiride (- 1.40 kg and - 0.96 kg vs + 0.73 kg, respectively; both P < 0.001). Through 26 weeks, 7.9%, 4.2%, and 18.2% of patients reported hypoglycemia, and 40.4%, 23.2%, and 8.0% of patients reported at least one gastrointestinal treatment emergent adverse event, in dulaglutide 1.5 mg, 0.75 mg, and glimepiride groups, respectively. CONCLUSIONS: In this post hoc analysis, dulaglutide was effective in reducing both HbA1c and weight with favorable tolerability and safety profile, which is consistent with results seen in larger international dulaglutide monotherapy studies. TRIAL REGISTRATION: ClinicalTrials.gov NCT01644500.

MFAP2 is overexpressed in gastric cancer and promotes motility via the MFAP2/integrin α5ß1/FAK/ERK pathway.

Gastric cancer (GC) is one of the most common malignancies and its prognosis is extremely poor. This study identifies a novel oncogene, microfibrillar-associated protein 2 (MFAP2) in GC. With integrative reanalysis of transcriptomic data, we found MFAP2 as a GC prognosis-related gene. And the aberrant expression of MFAP2 was explored in GC samples. Subsequent experiments indicated that silencing and exogenous MFAP2 could affect motility of cancer cells. The inhibition of silencing MFAP2 could be rescued by another FAK activator, fibronectin. This process is probably through affecting the activation of focal adhesion process via modulating ITGB1 and ITGA5. MFAP2 regulated integrin expression through ERK1/2 activation. Silencing MFAP2 by shRNA inhibited tumorigenicity and metastasis in nude mice. We also revealed that MFAP2 is a novel target of microRNA-29, and miR-29/MFAP2/integrin α5ß1/FAK/ERK1/2 could be an important oncogenic pathway in GC progression. In conclusion, our data identified MFAP2 as a novel oncogene in GC and revealed that miR-29/MFAP2/integrin α5ß1/FAK/ERK1/2 could be an important oncogenic pathway in GC progression.