Mucosal vascular addressin cell adhesion molecule-1 is expressed outside the endothelial lineage on fibroblasts and melanoma cells

Mucosal vascular addressin cell adhesion molecule-1 (MAdCAM-1) is predominantly expressed on high endothelial venules in inflamed tissues where it assists with leucocyte extravasation. Here we report that MAdCAM-1 has the potential to be more widely expressed outside the endothelial cell lineage than previously appreciated. Thus, MAdCAM-1 RNA transcripts and cell-surface protein were expressed by NIH 3T3 fibroblasts following activation with tumour necrosis factor-alpha (TNF-alpha), and by freshly isolated and cultured primary mouse splenic and tail fibroblasts in the absence of TNF-alpha stimulation. They were constitutively expressed by B16F10 melanoma cells, and expression was enhanced by cell activation with TNF-alpha. Mucosal vascular addressin cell adhesion molecule-1 was expressed on the apical surface of isolated cells, but became predominantly localized to cell junctions in confluent cell monolayers, suggesting it may play a role in the homotypic aggregation of cells. Tumour necrosis factor-alpha enhanced the expression of a firefly luciferase reporter directed by the MAdCAM-1 promoter in NIH 3T3 and B16F10 cells. A DNA fragment extending from nt -1727 to -673 was sufficient to confer cell-type selective expression. Mucosal vascular addressin cell adhesion molecule-1 expressed by NIH 3T3 cells was biologically active, as it supported the adhesion of TK-1 T cells in an alpha4beta7-dependent fashion. The expression of MAdCAM-1 by fibroblasts, and melanomas suggests MAdCAM-1 may play a role in regulating host responses in the periphery, leucocyte transmigration across nonendothelial boundaries, or the homotypic interactions of some malignant melanomas.

Effectiveness of evolutionary algorithms for optimization of heat exchangers

This paper comprehensively investigates performance of evolutionary algorithms for design optimization of shell and tube heat exchangers (STHX). Genetic algorithm (GA), firefly algorithm (FA), and cuckoo search (CS) method are implemented for finding the optimal values for seven key design variables of the STHX model. ε-NTU method and Bell-Delaware procedure are used for thermal modeling of STHX and calculation of shell side heat transfer coefficient and pressure drop. The purpose of STHX optimization is to maximize its thermal efficiency. Obtained results for several simulation optimizations indicate that GA is unable to find permissible and optimal solutions in the majority of cases. In contrast, design variables found by FA and CS always lead to maximum STHX efficiency. Also computational requirements of CS method are significantly less than FA method. As per optimization results, maximum efficiency (83.8%) can be achieved using several design configurations. However, these designs are bearing different dollar costs. Also it is found that the behavior of the majority of decision variables remains consistent in different runs of the FA and CS optimization processes.