Search

Crohn's disease (CD) arises from intricate intercellular interactions within the intestinal lamina propria. Our objective was to use single-cell RNA sequencing to investigate CD pathogenesis and explore its clinical significance. We identified a distinct subset of B cells, highly infiltrated in the CD lamina propria, that expressed genes related to antigen presentation. Using high-dimensional weighted gene co-expression network analysis and nine machine learning techniques, we demonstrated that the antigen-presenting CD-specific B cell signature effectively differentiated diseased mucosa from normal mucosa (Independent external testing AUC = 0.963). Additionally, using MCPcounter and non-negative matrix factorization, we established a relationship between the antigen-presenting CD-specific B cell signature and immune cell infiltration and patient heterogeneity. Finally, we developed a gene-immune convolutional neural network deep learning model that accurately diagnosed CD mucosa in diverse cohorts (Independent external testing AUC = 0.963). Our research has revealed a population of B cells with a potential promoting role in CD pathogenesis and represents a fundamental step in the development of future clinical diagnostic tools for the disease. [ABSTRACT FROM AUTHOR]

Oncofetal reprogramming of the tumor microenvironment is clinically relevant. This study used the non-negative matrix factorial (NMF) algorithm for single-cell RNA sequencing data of gastric cancer (GC) based on embryonic stem genes. Pseudotime analysis, cell–cell interaction analysis, and SCENIC analysis revealed that cancer-associated fibroblasts (CAFs), tumor-associated endothelial cells (TECs), and tumor-associated macrophages (TAMs) have different oncofetal reprogramming that affects cell function, enhances intercellular communication, and activates multiple transcription factors in these cells. Furthermore, based on the signatures of the newly defined oncofetal cell subtypes and expression profiles of large cohorts in GC patients, we determined that GJA1 + TEC-C2, IFITM1 + CAF-C3, PODXL + TEC-C1, SFRP2 + CAF-C2, and SRSF7 + CAF-C1 are crucial prognostic factors for GC patients and predictors of immune checkpoint blockade in GC. Cell subtypes were validated by immunohistochemical methods. Our novel, profound, and systematic analysis of the oncofetal reprogramming of GC may facilitate the development of improved drugs for treating GC. [ABSTRACT FROM AUTHOR]

Biological systems to sense and respond to metabolic perturbations are critical for the maintenance of cellular homeostasis. Here we describe a hepatic system in this context orchestrated by the transcriptional corepressor C-terminal binding protein 2 (CtBP2) that harbors metabolite-sensing capabilities. The repressor activity of CtBP2 is reciprocally regulated by NADH and acyl-CoAs. CtBP2 represses Forkhead box O1 (FoxO1)-mediated hepatic gluconeogenesis directly as well as Sterol Regulatory Element-Binding Protein 1 (SREBP1)-mediated lipogenesis indirectly. The activity of CtBP2 is markedly defective in obese liver reflecting the metabolic perturbations. Thus, liver-specific CtBP2 deletion promotes hepatic gluconeogenesis and accelerates the progression of steatohepatitis. Conversely, activation of CtBP2 ameliorates diabetes and hepatic steatosis in obesity. The structure-function relationships revealed in this study identify a critical structural domain called Rossmann fold, a metabolite-sensing pocket, that is susceptible to metabolic liabilities and potentially targetable for developing therapeutic approaches. Sensing of nutrient status coordinates the regulation of liver glucose and lipid metabolism, and is important for metabolic homeostasis. Here the authors report that transcriptional the corepressor CtBP2 can sense nutrient status and coordinate repression of liver glucose and lipid metabolism via Fox01 and SREBP1, respectively. [ABSTRACT FROM AUTHOR]

Brown adipose tissue (BAT) is an attractive therapeutic target for treating obesity and metabolic diseases. Octacosanol is the main component of policosanol, a mixture of very long chain aliphatic alcohols obtained from plants. The current study aimed to investigate the effect of octacosanol and policosanol on high-fat diet (HFD)-induced obesity. Mice were fed on chow, or HFD, with or without octacosanol or policosanol treatment for four weeks. HFD-fed mice showed significantly higher body weight and body fat compared with chow-fed mice. However, mice fed on HFD treated with octacosanol or policosanol (HFDo/p) showed lower body weight gain, body fat gain, insulin resistance and hepatic lipid content. Lower body fat gain after octacosanol or policosanol was associated with increased BAT activity, reduced expression of genes involved in lipogenesis and cholesterol uptake in the liver, and amelioration of white adipose tissue (WAT) inflammation. Moreover, octacosanol and policosanol significantly increased the expression of Ffar4, a gene encoding polyunsaturated fatty acid receptor, which activates BAT thermogenesis. Together, these results suggest that octacosanol and policosanol ameliorate diet-induced obesity and metabolic disorders by increasing BAT activity and improving hepatic lipid metabolism. Thus, these lipids represent promising therapeutic targets for the prevention and treatment of obesity and obesity-related metabolic disorders. [ABSTRACT FROM AUTHOR]