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Abstract This paper revisits the relationships among the perceived built environment, travel attitude, perceived value, and consumer travel in the particular era of the changing retail landscape amid advances in information technology. This study thus uses consistent partial least squares structural equation modelling (PLSc-SEM) to estimate the focal parameters on the basis of data from 30 commercial centres in Shanghai, China. Additionally, this inquiry uses multigroup analysis structural equation modelling (MGA-SEM) to evaluate the disparities between two types of consumer travel: purchasing goods and experiencing services. The results show that consumers’ perceived values and travel attitude significantly influence their travel and that these effects are even more apparent for experience services. In addition, the perceived built environment plays a partially positive role in consumer travel. Notably, however, accessibility cannot directly influence consumer travel and only indirectly influences travel attitude, whereas commercial attractiveness positively influences both of these factors. Accordingly, this study offers valuable insights, enabling urban planning, transportation, and commercial services to better address the evolving retail landscape and emerging consumer travel demands.

Abstract The coexistence of ulcerative colitis (UC) and nonalcoholic steatohepatitis (NASH) involves a intricate interplay, though the precise pathophysiological mechanisms remain elusive. To shed light on this, our study endeavors to unravel the shared gene signatures and molecular mechanisms by employing quantitative bioinformatics analysis on a publicly available RNA-sequencing database. Gene expression profiles of UC (GSE87466) and NASH (GSE89632) were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were analyzed using R software. After identifying common DEGs, functional enrichment analysis, protein–protein interaction (PPI) network analysis and module construction were performed to obtain candidate hub genes. GSE47908 for UC and GSE159676 for NASH were selected to validate the obtained candidate genes. A total of 119 common DEGs were found in NASH and UC patients. Functional and pathway analyses emphasized that viral infection, inflammation and immune response were enriched in these two diseases. After module construction and validation, CD2, CD8A, GNLY, IFI44, NKG7 and OAS2 were identified as hub genes. 6 hub genes and their combined prediction scores were found with an impressive accuracy and sensitivity. Functional estimation, gene set enrichment analysis and immune infiltration signature identification showed notable associations of the six hub genes with T cells, natural killer cells and type I interferon levels. In addition, we constructed UC combined with NASH mice model successfully with significantly higher expression of hub genes in both liver and colonic tissues than those in control group. Our study elucidates 6 hub genes of UC and NASH, which may participate in immune, inflammatory and antiviral effects. These findings provide some potential biochemical markers for further exploration of UC coexistence with NASH.

Abstract Five new physalins, including a novel 1,10-seco one, physalin V (1), a tricarboxylic acid cycle one, physalin VIII (5), a rare 11,15-cyclo one, physalin IX (6), and two new ones, physalins VI (2) and VII (4) were isolated from stems and leaves of Physalis angulata together with eleven known analogues (3 and 7–16). Their structures were established by MS, IR, UV, and NMR spectroscopic analysis, together with the X-ray diffraction analysis of neophysalin, physalin P (12), and the structure of physalin D1 (3) has been revised here. These isolated compounds were evaluated for their antiproliferative activities against human cancer cells (C4-2B, 22Rv1, 786-O, A-498, ACHN, and A375-S2) and inhibitory effects on nitric oxide production. Compounds 9 and 10 showed antiproliferative activities against all tested human cancer cells with IC50 values of 0.24–3.17 μM. Compounds 1, 3, 4, 9, 10, 13, 14, and 16 exhibited inhibitory activities against NO production. The IC50 values of compounds 9, 10, 13, and 16 were between 0.32 and 4.03 μM, while compounds 1, 3, 4, and 14 had IC50 values of 12.83–34.19 μM. Herein, plausible biosynthetic pathways for rare structures 1 and 6 and structure−activity relationships on the inhibition of NO production for all isolated compounds are discussed.