Magnussenkeller5473

Esophageal cancer (EC) is one of the most common malignant tumors of the digestive system with high incidence and mortality rate worldwide. Therefore, exploring the pathogenesis of EC and searching for new targeted therapies are the current research hotspot for EC treatment. Long non-coding RNAs (lncRNAs) are endogenous RNAs with more than 200 nucleotides, but without protein-coding function. In recent years, lncRNAs have gradually become the focuses in the field of non-coding RNA. Some lncRNAs have been proved to be closely related to the pathogenesis of EC. Many lncRNAs are abnormally expressed in EC and participate in many biological processes including cell proliferation, apoptosis, and metastasis by inhibiting or promoting target gene expression. LncRNAs can also regulate the progression of EC through epithelial-mesenchymal transformation (EMT), which is closely related to the occurrence, development, and prognosis of EC. In this article, we review and discuss the involvement of lncRNAs in the progression of EC.

Epidemiologists have consistently observed associations between prepregnancy obesity and spina bifida in offspring. Most studies, however, used self-reported body mass index (potential for exposure misclassification) and incompletely ascertained cases of spina bifida among terminations of pregnancy (potential for selection bias). We conducted a quantitative bias analysis to explore the potential effects of these biases on study results.

We included 808 mothers of fetuses or infants with spina bifida (case mothers) and 7,685 mothers of infants without birth defects (control mothers) from a population-based case-control study, the National Birth Defects Prevention Study (1997-2011). First, we performed a conventional epidemiologic analysis, adjusting for potential confounders using logistic regression. Then, we used 5,000 iterations of probabilistic bias analysis to adjust for the combination of confounding, exposure misclassification, and selection bias.

In the conventional confounding-adjusted analysis, prepregnancy obesity was associated with spina bifida (odds ratio 1.4, 95% confidence interval 1.2, 1.7). In the probabilistic bias analysis, we tested nine different models for the combined effects of confounding, exposure misclassification, and selection bias. Results were consistent with a weak to moderate association between prepregnancy obesity and spina bifida, with the median odds ratios across the nine models ranging from 1.1 to 1.4.

Given our assumptions about the occurrence of bias in the study, our results suggest that exposure misclassification, selection bias, and confounding do not completely explain the association between prepregnancy obesity and spina bifida.

Given our assumptions about the occurrence of bias in the study, our results suggest that exposure misclassification, selection bias, and confounding do not completely explain the association between prepregnancy obesity and spina bifida.

The management of cardiogenic shock remains a clinical challenge even in well-developed healthcare systems, best illustrated by its high mortality despite numerous innovative proposals for management. The aim of this study was to describe temporal trends in incidence, causes, use of mechanical circulatory support, and mortality in cardiogenic shock in Germany.

Data on all cardiogenic shock patients treated in German hospitals between 2005 and 2017 were obtained from the Federal Bureau of Statistics. The data set comprised 441696 patients with cardiogenic shock, mean age 71 (±13.8) years, 171383 (39%) female patients. Incidence rates increased from 33.1/100000 population in 2005 (27246 cases) to 51.7/100000 population in 2017 (42779 cases). Acute myocardial infarction was the most common cause of cardiogenic shock in 2005-07 (43422 of 82037 cases, 52.9%), but the proportion of cases caused by it decreased until 2014-17 (73274 of 165873 cases, 44.2%). Over time, intra-aortic balloon pump (2005 5104; 2017 97gap in this field, in particular for cardiogenic shock caused by diseases other than acute myocardial infarction.

The study aimed to explore the association between diabetes-related distress as a dependent variable and fear of hypoglycaemia as a independent variable in Chinese individuals with type 2 diabetes, which can provide a basis for the development of effective nursing interventions.

A cross-sectional descriptive study.

Pre-piloted scales were used to determine whether they experienced fear of hypoglycaemia and whether this impacted upon their management of the disease. From June-October 2019, participants were asked to complete the "hypoglycaemia fear survey" and "diabetes distress scales" to assess levels of fear and distress. Stepwise multivariate regression analysis was applied to reveal relationship between distress as a dependent variable and fear as a independent variable. Covariates included demographic, clinical or lifestyle factors.

A total of 258 participants were recruited for the survey, and they were characterized by little or no distress (39.53%), moderate distress (45.35%) and high distress (15.12%). The prevalence of moderate to severe distress in patients was 60.47%. Increased diabetes-related distress was strongly correlated with increased fear of hypoglycaemia and closely associated with the scores of the worry and behaviour subscales. These results indicated that 62.3% of diabetes-related distress may be explained by fear of hypoglycaemia.

Increased diabetes-related distress is associated with increased fear of hypoglycaemia in individuals with type 2 diabetes.

Increased diabetes-related distress is associated with increased fear of hypoglycaemia in individuals with type 2 diabetes.

The increase in cardiovascular events (CVEs) in systemic lupus erythematosus (SLE) is not fully explained by traditional risk factors. We previously identified four biomarkers (proinflammatory high-density lipoprotein, leptin, soluble TNF-like weak inducer of apoptosis (sTWEAK), and homocysteine) that we combined with age and diabetes to create the predictors of risk for elevated flares, damage progression, and increased cardiovascular diseasein patients with SLE (PREDICTS) risk profile. PREDICTS more accurately identified patients with SLE at risk for progression of subclinical atherosclerosis than any individual variable. We examined whether PREDICTS can also identify patients with SLE at risk for future CVEs.

A total of 342 patients with SLE and 155 matched control subjects participated in this longitudinal prospective study. A high PREDICTS score was defined as three or more predictors or diabetes + one or more predictor. The biomarkers were measured at baseline using published methods. All major adverse CVEs (MACEs) were confirmed by medical record review.

During 116 months of follow-up, 5% of patients with SLE died, 12% had a cerebrovascular event, and 5% had a cardiac event. Zosuquidar chemical structure Overall, 20% of patients with lupus experienced any new MACE compared with 5% of control subjects (P < 0.0001). More patients with SLE with a new MACE had high PREDICTS score at baseline (77%) versus patients with no new events (34%) (P < 0.0001). High baseline PREDICTS score also associated with cerebrovascular (P < 0.0001) and cardiac events (P < 0.0001) in SLE. Using Cox regression, a baseline high PREDICTS score associated with a 3.7-fold increased hazard ratio (HR) for a new MACE (P < 0.0001) in SLE. Hypertension (HR = 2.1; P = 0.006) was also a risk.

A high PREDICTS score and hypertension confer increased risk for new MACEs in patients with SLE.

A high PREDICTS score and hypertension confer increased risk for new MACEs in patients with SLE.While the protein assemblies have been found widely existing and playing significant roles in biological systems, their imitation and re-construction is further boosting more applications in biomedical research, such as enzymatic reaction regulation, sensing, and biomedicine. DNA nanotechnology provides a programmable strategy for the fabrication of nanostructures with unprecedented accuracy on the nanoscale. By linking the DNA nanotechnology with proteins of different functions, the precise construction of DNA-guided protein assemblies can be achieved for various biomedical applications. This minireview summarizes the recent advances in the programmable protein assemblies on DNA nanoplatforms and discusses the outlook of DNA-guided protein assemblies in the biomedical research.Although perovskite films have excellent extinction coefficients, further increase of the light-absorbing capacity by increasing the thickness of the active layer is always required in perovskite solar cells (PSCs). However, to maintain the morphology quality of the perovskite layer, the film thickness is subject to certain restrictions. To increase the light absorbance without significantly inflating the perovskite film while keeping the high quality of the perovskite film, herein, we added an aqueous solution of gold nanorods (AuNRs) to the perovskite precursor solution via a so-called asynchronous synergistic effect (ASE) strategy of water and AuNR. The former improves the quality of the perovskite film during the crystallization process to reduce defect density and enhance carrier mobility. Simultaneously, the latter increases the light absorption of the perovskite layer through the localized surface plasmon resonance (LSPR) effect when the device is exposed to light. We show that the ASE strategy leads to an excellent power conversion efficiency (PCE) of 21.73 % and outstanding long-term stability, which can retain 95 % of its initial PCE after storage for three months in an air atmosphere.Porous polyimide (PI) membranes are widely used in separation processes because of their excellent thermal and mechanical properties. However, the applications of porous PI membranes are limited in the nanofiltration range. In this study, porous PI membranes with through-holes have been successfully fabricated by the novel multiple solvent displacement method. This new method requires only a porous polyamic acid (PAA) membrane, which was prepared by immersing PAA film in N-methylpyrrolidoneebk; (NMP) prior to immersing it in a mixed solvent consisting of NMP and a poor solvent, followed by immersion only in poor solvent. The pore size, morphology, porosity, and air permeability demonstrated that the fabricated PI membranes had a uniformly porous structure with through-holes over their surface. This new method enabled control of pore size (3-11 μm) by selecting a suitable poor solvent. This multiple solvent displacement method is highly versatile and promising for the fabrication of porous PI membranes.MicroRNAs (MiRNAs) play critical roles in regulating target gene expression and multiple cellular processes in human cancer malignant progression. However, the function of miR-194 in gastric cancer (GC) remains unclear and controversial. In this study, we identified a series of miRNAs that can serve as prognostic biomarkers for GC by analysis of miRNA expression using The Cancer Genome Atlas data. Among them, miR-100, miR-125b, miR-199a, and miR-194 were the four most promising prognostic biomarkers in GC due to their significant associations with various clinical characteristics of patients. miR-100, miR-125b, and miR-199a predicted poor prognosis in GC, while miR-194 predicted favorable prognosis in GC. We also provide the first comprehensive transcriptome analysis of miR-194 in GC. Our data suggest that miR-194 tends to regulate target genes by binding to their 3' UTRs in a 7-mer-A1, 7-mer-m8, or 8-mer manner. KEGG pathway analysis showed that the cell cycle was one of the pathways most affected by miR-194 in GC.