Negative correlations between bile reflux gastritis and Helicobacter pylori infection.

OBJECTIVE: There are a few articles to study the relationship between bile reflux gastritis (BRG) and H. pylori infection, and the results are debatable. This study set out to determine the relationship between BRG and Helicobacter pylori (H. pylori) infection. METHODS: In this retrospective study, patients from January, 1st 2013 to January, 1st, 2021 were divided into two groups based on whether they had BRG. The control group was got by 1:1 propensity-score matching (PSM) based on age and sex. Then, the relationship between BRG and H. pylori in patients was analyzed via Chi-squared test and Phi (φ) detection. RESULTS: 26449 patients were included in this study, and there were 1918 patients in each group after age and sex matching. patients with HP were responsible for 35% (9345/26449) and patients with BRG were 7% (1918/26449). Further relationship exploration, there is a negative, but weak, the relationship between BRG and HP infection (X2 = 45.62, p < .001, Phi (φ)= -0.109). CONCLUSION: Patients with bile reflux may have less likely to get HP infection. HP eradication is an important thing for the prevention of gastric cancer and this study serves as a foundation and may provide directions for future research.

Risk of thyroid cancer and benign nodules associated with exposure to parabens among Chinese adults in Wuhan, China.

Parabens are widely used as preservatives, which have been found to affect thyroid function in toxicological studies. However, population studies on whether they are associated with thyroid tumors remain unclear. This study aims to investigate the relationship between environmental paraben exposure and thyroid cancer and benign nodules. We recruited participants from the Department of Thyroid and Breast Surgery at Wuhan Central Hospital, Wuhan, China. The detectable percentages of methyl paraben, ethyl paraben, and propyl paraben in the urinary samples of 425 study subjects were 99.1%, 95.3%, and 92.0%, respectively. All uncorrected and creatinine-corrected parabens were moderately correlated with one another. After adjusting for possible confounders, all three parabens were associated with an increased risk of thyroid cancer. Furthermore, the mixture pollutant analysis of parabens found positive associations with risk of thyroid cancer (OR = 0.24, 95% CI: 0.18, 0.31) and benign nodules (OR = 1.33, 95% CI: 0.86, 1.80). We observed that individual exposure to paraben mixtures may be associated with the risk of thyroid cancer and benign nodules.

Iodine-imine Synergistic Promoted Povarov-Type Multicomponent Reaction for the Synthesis of 2,2'-Biquinolines and Their Application to a Copper/Ligand Catalytic System.

An efficient iodine-imine synergistic promoted Povarov-type multicomponent reaction was reported for the synthesis of a practical 2,2'-biquinoline scaffold. The tandem annulation has reconciled iodination, Kornblum oxidation, and Povarov aromatization, where the methyl group of the methyl azaarenes represents uniquely reactive input in the Povarov reaction. This method has broad substrate scope and mild conditions. Furthermore, these 2,2'-biquinoline derivatives had been directly used as bidentate ligands in metal-catalyzed reactions.

Multi-Organ Omics-Based Prediction for Adaptive Radiation Therapy Eligibility in Nasopharyngeal Carcinoma Patients Undergoing Concurrent Chemoradiotherapy.

PURPOSE: To investigate the role of different multi-organ omics-based prediction models for pre-treatment prediction of Adaptive Radiotherapy (ART) eligibility in patients with nasopharyngeal carcinoma (NPC). METHODS AND MATERIALS: Pre-treatment contrast-enhanced computed tomographic and magnetic resonance images, radiotherapy dose and contour data of 135 NPC patients treated at Hong Kong Queen Elizabeth Hospital were retrospectively analyzed for extraction of multi-omics features, namely Radiomics (R), Morphology (M), Dosiomics (D), and Contouromics (C), from a total of eight organ structures. During model development, patient cohort was divided into a training set and a hold-out test set in a ratio of 7 to 3 via 20 iterations. Four single-omics models (R, M, D, C) and four multi-omics models (RD, RC, RM, RMDC) were developed on the training data using Ridge and Multi-Kernel Learning (MKL) algorithm, respectively, under 10-fold cross validation, and evaluated on hold-out test data using average area under the receiver-operator-characteristics curve (AUC). The best-performing single-omics model was first determined by comparing the AUC distribution across the 20 iterations among the four single-omics models using two-sided student t-test, which was then retrained using MKL algorithm for a fair comparison with the four multi-omics models. RESULTS: The R model significantly outperformed all other three single-omics models (all p-value<0.0001), achieving an average AUC of 0.942 (95%CI: 0.938-0.946) and 0.918 (95%CI: 0.903-0.933) in training and hold-out test set, respectively. When trained with MKL, the R model (R_MKL) yielded an increased AUC of 0.984 (95%CI: 0.981-0.988) and 0.927 (95%CI: 0.905-0.948) in training and hold-out test set respectively, while demonstrating no significant difference as compared to all studied multi-omics models in the hold-out test sets. Intriguingly, Radiomic features accounted for the majority of the final selected features, ranging from 64% to 94%, in all the studied multi-omics models. CONCLUSIONS: Among all the studied models, the Radiomic model was found to play a dominant role for ART eligibility in NPC patients, and Radiomic features accounted for the largest proportion of features in all the multi-omics models.

Insight into miRNAs related with glucometabolic disorder.

A microRNA (miRNA) is a single-stranded, small and non-coding RNA molecule that contains 20-25 nucleotides. More than 2000 miRNAs have been identified in human genes since the first miRNA was discovered in Caenorhabditis elegans in the early 1990s. miRNAs play a crucial role in various biological processes by regulating gene expression through post-transcriptional mechanisms. The alterations of their levels are associated with various diseases, such as glucometabolic disorder and lipid metabolism disorder. In recent years, miRNAs have been proved to be involved in regulating the functions of pancreatic ß-cells, insulin resistance and other biological behaviors related to glucometabolic disorder and the pathogenesis of diabetes mellitus (DM). This review summarized specific miRNAs, including miRNA-375 (miR-375), miRNA-155 (miR-155), miRNA-21 (miR-21), miRNA-33 (miR-33), the let-7 family and some other miRNAs related to glucometabolic regulation, introduced the obstacles and challenges in miRNA therapy, and discussed the prospect of new treatment methods for glucometabolic disorder.

[Ecomorphological explanations of passerines coexistence in alpine meadow].

Species ecomorphological characteristics are the evolutionary results of selective pressures that have enabled individuals of a given species to survive and reproduce. Closely related species co-occurring in homogeneous environments should be morphologically distinct to partition limited resources, so as to minimize interspecific competition. From 1983 to 2012, we studied the ecomorphological characteristics of nine passerine species in alpine meadow. Results showed six ecomorphological characteristics of the nine species were significantly different. Approximately, 92.0% of samples were correctly classified and the correct rates ranged from 84.5% to 100.0%, except for the Oriental Skylark (Eremophila alpestris), which was 79.2%. Accordingly, the nine species were divided into five guilds based on their characteristics. Results indicated that the niches of all species were divergent, and the ecomorphological characteristics of the specific species in each guild were related to their habitats and foraging behaviors. These results also explained the possible mechanisms of different species coexistence in alpine meadow.