Construction of S100 family members prognosis prediction model and analysis of immune microenvironment landscape at single-cell level in pancreatic adenocarcinoma: a tumor marker prognostic study.

Pancreatic adenocarcinoma characterized by a mere 10% five-year survival rate, poses a formidable challenge due to its specific anatomical location, making tumor tissue acquisition difficult. This limitation underscores the critical need for novel biomarkers to stratify this patient population. Accordingly, this study aimed to construct a prognosis prediction model centered on S100 family members. Leveraging six S100 genes and their corresponding coefficients, an S100 score was calculated to predict survival outcomes. The present study provided comprehensive internal and external validation along with power evaluation results, substantiating the efficacy of the proposed model. Additionally, the study explored the S100-driven potential mechanisms underlying malignant progression. By comparing immune cell infiltration proportions in distinct patient groups with varying prognoses, the research identified differences driven by S100 expression. Furthermore, the analysis explored significant ligand-receptor pairs between malignant cells and immune cells influenced by S100 genes, uncovering crucial insights. Notably, the study identified a novel biomarker capable of predicting the sensitivity of neoadjuvant chemotherapy, offering promising avenues for further research and clinical application.

MCC950 Ameliorates Acute Exogenous Lipoid Pneumonia Induced by Sewing Machine Oil in Rats via the NF-κB/NLRP3 Inflammasome Pathway.

BACKGROUND/AIM: Acute exogenous lipoid pneumonia (AELP) is a rare disorder caused by intake of lipid formulations and is often underdiagnosed. Meanwhile, the mechanism of AELP is still underlying. MCC950, was previously found to significantly suppress the release of inflammatory cytokines IL-18 and IL-1ß. However, the effect of MCC950 on AELP induced by sewing machine oil has not been reported. MATERIALS AND METHODS: The NLRP3, NF-[Formula: see text]B p65, caspase-1 and IL-1ß expression in lung tissues were compared between a rat model of AELP and control rats using western blotting and real-time quantitative assay. Moreover, haematoxylin and eosin (H&E) staining was performed to elucidate the mechanisms by which MCC950 ameliorates sewing machine oil-induced AELP in vivo. RESULTS: MCC950 reduced the expression of NF-[Formula: see text]B p65 in the lung samples of the treatment group and further down-regulated the NLRP3 and caspase-1 levels while inhibited the production of IL-1ß. Besides, decreases in inflammatory cell infiltration in the lung were shown using H&E staining. CONCLUSION: MCC950 ameliorates sewing machine oil-induced acute exogenous lipoid pneumonia in rats through inhibition of the NF-[Formula: see text]B/NLRP3 inflammasome pathway.

Exploring the Protective Effect and Mechanism of Buddlejae Flos on Sodium Selenite-Induced Cataract in Rats by Network Pharmacology, Molecular Docking, and Experimental Validation.

Objective: Buddlejae Flos has a long history of utilization by humans to treat ophthalmic diseases. Although in vitro study revealed that it can be used for treating cataract, the bioactive components and the mechanism of efficacy remained unclear. This study aims to discover the bioactive components and mode of efficacy of Buddlejae Flos in cataract treatment. Methods: Several databases were screened for bioactive components and corresponding targets, as well as cataract-related targets. Using the String database, common targets were determined and utilized to construct protein-protein interactions (PPI). The drug-component-target-disease network map was drawn using Cytoscape software. R language was utilized to execute Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) pathway enrichment analysis. Molecular docking was done through Schrödinger Maestro software utilization. Luteolin's (LUT) effect on cataract induced by sodium selenite in rat pups was evaluated. Results: Six bioactive components with 38 common targets were identified as being associated with cataract. TP53, AKT1, EGFR, CASP3, TNF, ESR1, INS, IL6, HIF1A, and VEGFA were identified as core targets in PPI analysis, and the binding energy of LUT with AKT was the lowest. LUT has been demonstrated to significantly lower MDA levels, raise glutathione (GSH) levels, and boost the activity of antioxidant enzymes like GST, SOD, GPx, and CAT. After LUT treatment, TNF-a, IL-2, and IL-6 levels were significantly lowered. Bcl-2 mRNA expression levels and p-PI3K and p-AKT protein expression were significantly elevated. In contrast, caspase-3 and Bax mRNA expression levels were significantly decreased. Conclusion: This study demonstrates that LUT is a possible bioactive component that may be utilized for cataract treatment. Its mode of action includes oxidative stress suppression, reducing inflammation, and inhibiting apoptosis via regulating the PI3K/AKT single pathway.

Identification of characteristic markers correlated with Th2 cell infiltration and metabolism molecular subtype in pancreatic adenocarcinoma.

Background: Pancreatic adenocarcinoma, the deadliest malignant cancer, has gradually become the third leading cause of cancer-related death. Multidisciplinary therapy has been difficult to implement because of the particularity of pancreatic adenocarcinoma. Research has increasingly indicated the significance of metabolic adaption in pancreatic adenocarcinoma. The difference in metabolism may influence immune cell infiltration in pancreatic adenocarcinoma. Novel immune-related metabolism biomarkers are needed to improve the therapeutic outcomes of existing targeted therapies. Methods: We enrolled whole-genome sequencing data and clinical information about 168 pancreatic adenocarcinoma samples from The Cancer Genome Atlas (TCGA) database, other pancreatic adenocarcinoma samples, and clinical information from other cohorts. We used the gene set variation analysis (GSVA) package to calculate feature score, the weighted gene co-expression network analysis (WGCNA) and randomSurvivalForest package to screen hub genes, the ConsenClusterPlus package to classify subtypes, the pRRopthetic package to evaluate drug sensibility, the maftools package to analyze mutation information and the Seurat package to analyze single cell sequencing data. Results: We revealed the prognosis significance of Th2 cell infiltration, classified two subtypes based on hub genes, compared immune cell infiltration, substance metabolism, cellular processes, gene mutation, and copy number variation (CNV) between subtypes and explored the clinical and biological features of Th2 cell infiltration. Conclusions: We displayed the poor prognosis significance of Th2 cell infiltration and the significant difference of simple nucleotide polymorphism, CNV, natural killer (NK) CD56 bright cell infiltration, substance metabolism, autophagy and necroptosis between subtypes. Additionally, we discovered the sensitivity difference of chemotherapy drug and the Th2 cell infiltration changes after chimeric antigen receptor T cells (CAR-T) cell therapy and radiotherapy and explored the differences between normal liver and metastatic liver tissues of pancreatic adenocarcinoma patients.

HPLC fingerprinting-based multivariate analysis of chemical components in Tetrastigma Hemsleyanum Diels et Gilg: Correlation to their antioxidant and neuraminidase inhibition activities.

Tetrastigma Hemsleyanum Diels & Gilg (TDG) has attracted growing attention in China; however, there were few studies on its bioactive components. Herein, the characteristic chemical components and dual antioxidant and neuraminidase inhibitory activities of fifteen batches of TDG from different places of origin and their relevance were investigated. The HPLC fingerprint was first established and the marker components were identified by using UPLC-Q-TOF-MS/MS. Catechin-5-O-ß-d-glucopyranoside, tartaric acid, (1R, 2R, 4S)-2-hydroxy-1, 8-cineole-ß-d-glucopyranoside, and phlorizin were identified for the first time. The result of multivariate statistical analysis indicated that multiple components have a significant contribution to the classification of TDG, such as chlorogenic acid, saccharumoside C/D, robinin, procyanidin B2, rutin, isoquercitrin, etc. Then, the antioxidant and neuraminidase inhibitory activities of fifteen batches of TDG were measured. The result of grey relationship analysis showed that the contents of rutin, isoquercitrin, kaempferol-3-rutinoside, and astragalin were positively correlated with these two activities with correlation coefficients more than 0.8. The quantitative analysis of these four bioactive compounds was performed by using HPLC-DAD. The recovery rate of the method varied from 98.02% to 100.21%, the RSD values of precision, stability and repeatability were between 1.32-3.15 %, and the R value of the linear equation was above 0.9990. To sum up, this study is valuable in the quality control of TDG.