Roles of long non­coding RNA SNHG16 in human digestive system cancer (Review).

The incidence of tumors in the human digestive system is relatively high, including esophageal cancer, liver cancer, pancreatic cancer, gastric cancer and colorectal cancer. These malignancies arise from a complex interplay of environmental and genetic factors. Among them, long non­coding RNAs (lncRNAs), which cannot be translated into proteins, serve an important role in the development, progression, migration and prognosis of tumors. Small nucleolar RNA host gene 16 (SNHG16) is a typical lncRNA, and its relationship with digestive system tumors has been widely explored. The prevailing hypothesis suggests that the principal molecular mechanism of SNHG16 in digestive system tumors involves it functioning as a competitive endogenous RNA that interacts with other proteins, regulates various genes and influences a downstream target molecule. The present review summarizes recent research on the relationship between SNHG16 and numerous types of digestive system cancer, encompassing its biological functions, underlying mechanisms and potential clinical implications. Furthermore, it outlines the association between SNHG16 expression and pertinent risk factors, such as smoking, infection and diet. The present review indicated the promise of SNHG16 as a potential biomarker and therapeutic target in human digestive system cancer.

A new application of multiplex PCR combined with membrane biochip assay for rapid detection of 9 common pathogens in sepsis.

Rapid and accurate identification of specific sepsis pathogens is critical for patient treatment and disease control. This study aimed to establish a new application for the rapid identification of common pathogens in patients with suspected sepsis and evaluate its role in clinical application. A multiplex PCR assay was designed to simultaneously amplify specific conserved regions of nine common pathogenic microorganisms in sepsis, including Acinetobacter baumannii, Escherichia coli, Klebsiella pneumonia, Pseudomonas aeruginosa, Enterococcus faecalis, Staphylococcus aureus, Staphylococcus epidermidis, Streptococcus pneumonia, and Candida albicans. The PCR products were analyzed by a membrane biochip. The analytical sensitivity of the assay was determined at a range of 5-100 copies/reaction for each standard strain, and the detection range was 20-200 cfu/reaction in a series dilution of simulated clinical samples at different concentrations. Out of the 179 clinical samples, the positive rate for pathogens detected by the membrane biochip assay and blood culture method was 20.11% (36/179) and 18.44% (33/179), respectively. However, by comparing the positive rate of the nine common pathogens we detected, the membrane biochip assay tended to be more sensitive than the blood culture method (20.11% vs 15.64%). The clinical sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the membrane biochip assay were 92.9%, 93.2%, 72.2% and 98.6%, respectively. Generally, this multiplex PCR combined membrane biochip assay can be used to detect major sepsis pathogens, and is useful for early initiation of effective antimicrobial treatment, and is feasible for sepsis pathogens identification in routine clinical practice.

Motion Similarity Evaluation between Human and a Tri-Co Robot during Real-Time Imitation with a Trajectory Dynamic Time Warping Model.

Precisely imitating human motions in real-time poses a challenge for the robots due to difference in their physical structures. This paper proposes a human-computer interaction method for remotely manipulating life-size humanoid robots with a new metrics for evaluating motion similarity. First, we establish a motion capture system to acquire the operator's motion data and retarget it to the standard bone model. Secondly, we develop a fast mapping algorithm, by mapping the BVH (BioVision Hierarchy) data collected by the motion capture system to each joint motion angle of the robot to realize the imitated motion control of the humanoid robot. Thirdly, a DTW (Dynamic Time Warping)-based trajectory evaluation method is proposed to quantitatively evaluate the difference between robot trajectory and human motion, and meanwhile, visualization terminals render it more convenient to make comparisons between two different but simultaneous motion systems. We design a complex gesture simulation experiment to verify the feasibility and real-time performance of the control method. The proposed human-in-the-loop imitation control method addresses a prominent non-isostructural retargeting problem between human and robot, enhances robot interaction capability in a more natural way, and improves robot adaptability to uncertain and dynamic environments.

Effects of Different Drying Methods on the Characterization, Dissolution Rate and Antioxidant Activity of Ursolic Acid-Loaded Chitosan Nanoparticles.

To improve the water solubility of ursolic acid (UA), UA-loaded chitosan nanoparticles were firstly prepared by the ionotropic gelation method and dried by freeze drying (FD), microwave freeze drying (MFD) and spray drying (SD). The characterization of UA-loaded chitosan nanoparticles was performed with particle size, drug loading (DL), scanning electron microscope (SEM), fourier transform infrared spectroscopy (FT-IR), differential scanning calorimetry (DSC), dissolution studies and antioxidant activity. The results demonstrated that UA was successfully encapsulated into chitosan nanoparticles using sodium tripolyphosphate (TPP) as a cross-linker, with a 79% encapsulation efficiency. The spray-dried, UA-loaded chitosan nanoparticles had the lowest drug loading (11.8%) and the highest particle size (496.9 ± 11.20 nm). The particle size of UA-loaded chitosan nanoparticles dried by MFD and FD was lower, at 240.8 ± 12.10 nm and 184.4 ± 10.62 nm, respectively, and their antioxidant activity was higher than those nanoparticles dried by SD. Moreover, the drying time and energy consumption of UA-loaded chitosan nanoparticles dried by MFD and SD were lower than that of FD. The dissolution rates of UA-loaded chitosan nanoparticles prepared by FD and MFD were 60.6% and 57.1%, respectively, in a simulated gastric fluid, which was a greater value than SD (55.9%). Therefore, the UA-loaded chitosan nanoparticles encapsulation method, combined with MFD technology, showed a promising potential to improve the water solubility of UA.

Combination of SL327 and Sunitinib Malate leads to an additive anti-cancer effect in doxorubicin resistant thyroid carcinoma cells.

BACKGROUND: Receptor tyrosine kinases (RTKs) play crucial roles in numerous cancer cell processes including cell survival, proliferation, and migration. MEK1/2 MAPK kinases are very important for cancer survival and development. Anaplastic thyroid carcinoma (ATC) is a deadly type of thyroid cancer and there are no very effective systemic treatment strategies for ATC so far. Also, ATC can easily become resistant to therapy of traditional therapeutic drugs for ATC, such as doxorubicin. Drug combination treatment could be a promising therapeutic strategy for ATC, especially for drug resistant ATC. METHODS: We explored the combination effect between a MEK1/2 inhibitor SL327 and a multi-targeted RTK inhibitor Sunitinib Malate in doxorubicin resistant ATC cells using cell viability assay, cell migration assay, nuclei morphology and caspase-3 activity analysis, as well as in vivo tumor growth assay. RESULTS: There is a significant additive effect between SL327 and Sunitinib Malate in reducing viability, increasing apoptosis, and suppressing migration of doxorubicin-resistant ATC cells. Importantly, combination of SL327 and Sunitinib Malate induced significant additive suppression of in vivo doxorubicin-resistant ATC tumor growth. CONCLUSIONS: Our results suggest that the combination of MEK1/2 inhibitor and RTK inhibitor is promising for treatment of ATC especially doxorubicin-resistant ATC. The combination might not only enhance the anti-cancer efficacy, but also reduce the side effects and overcome drug resistance developed in ATC treatment. All these might provide useful information for clinical therapeutics of ATC.

Review on the effect of glucagon-like peptide-1 receptor agonists and dipeptidyl peptidase-4 inhibitors for the treatment of non-alcoholic fatty liver disease.

Non-alcoholic fatty liver disease (NAFLD) is a common liver disease and it represents the hepatic manifestation of metabolic syndrome, which includes type 2 diabetes mellitus (T2DM), dyslipidemia, central obesity and hypertension. Glucagon-like peptide-1 (GLP-1) analogues and dipeptidyl peptidase-4 (DPP-4) inhibitors were widely used to treat T2DM. These agents improve glycemic control, promote weight loss and improve lipid metabolism. Recent studies have demonstrated that the GLP-1 receptor (GLP-1R) is present and functional in human and rat hepatocytes. In this review, we present data from animal researches and human clinical studies that showed GLP-1 analogues and DPP-4 inhibitors can decrease hepatic triglyceride (TG) content and improve hepatic steatosis, although some effects could be a result of improvements in metabolic parameters. Multiple hepatocyte signal transduction pathways and mRNA from key enzymes in fatty acid metabolism appear to be activated by GLP-1 and its analogues. Thus, the data support the need for more rigorous prospective clinical trials to further investigate the potential of incretin therapies to treat patients with NAFLD.

STAT4 rs7574865 polymorphism contributes to the risk of type 1 diabetes: a meta analysis.

The signal transducer and activator of transcription 4 (STAT4) rs7574865 polymorphism has been indicated to be correlated with type 1 diabetes (T1D) susceptibility, but study results are still debatable. Thus, a meta-analysis was conducted. The electronic databases PubMed, Embase, CNKI, and Web of Science (ISI) were searched to find eligible studies. Data were extracted and pooled odds ratios (OR) with 95% confidence intervals (CI) were calculated. A significant association was found between STAT4 rs7574865 polymorphism and T1D risk (OR=1.30; 95% CI, 1.13-1.48; P<0.01; I(2) =73%). Significant associations were also found in Asians (OR=1.33; 95% CI, 1.04-1.71; P=0.02; I(2) =60%) and Caucasians (OR=1.26; 95% CI, 1.08-1.47; P<0.01; I(2) =74%), respectively. This association was also positive in the pediatric patients (OR=1.41; 95% CI, 1.19-1.68; P<0.01; I(2) =46%). Moreover, we found that STAT4 rs7574865 polymorphism was associated with early-onset T1D risk (OR=1.43; 95% CI, 1.16-1.77; P<0.01; I(2) =0%). This meta-analysis suggested that the STAT4 rs7574865 polymorphism may be associated with T1D development.