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The glycocalyx consists of proteoglycans, glycoproteins, glycosaminoglycans, associated plasma proteins, and soluble glycosaminoglycans and covers the surface of all eukaryotic cells. It mediates specific recognition events, modulates biological processes such as ligand-receptor interactions, and has been proposed to affect tumor metastasis. Here, we studied whether the glycocalyx is required for melanoma cell migration. We diminished the glycocalyx of human melanoma cells by inhibiting posttranslational N-glycosylation or by enzymatic digestion of the N-glycosides. This partial destruction of the glycocalyx reduced melanoma cell migration by up to 60%. It was accompanied by the disintegration of a characteristic pH nanoenvironment typically surrounding migrating cells. Restoring this pH profile by stimulating the activity of the Na(+)/H(+) exchanger NHE1 rescued cell migration even in the absence of an intact glycocalyx. The effects of partially removing the glycocalyx compared to those of knocking down beta(1)-integrin expression points to a close functional correlation between glycocalyx, integrins, and cell surface pH nanoenvironment. We conclude that the glycocalyx is required for tumor cell migration. It stabilizes the cell surface pH nanoenvironment allowing a concerted pH-dependent interaction of adhesion receptors and extracellular matrix.

BackgroundThrombus composition has been shown to be a major determinant of recanalization success and occurrence of complications in mechanical thrombectomy. The most important parameters of thrombus behavior during interventional procedures are relative fractions of fibrin and red blood cells (RBCs). We hypothesized that quantitative information from admission non-contrast CT (NCCT) and CT angiography (CTA) can be used for machine learning based prediction of thrombus composition.MethodsThe analysis included 112 patients with occlusion of the carotid-T or middle cerebral artery who underwent thrombectomy. Thrombi samples were histologically analyzed and fractions of fibrin and RBCs were determined. Thrombi were semi-automatically delineated in CTA scans and NCCT scans were registered to the same space. Two regions of interest (ROIs) were defined for each thrombus: small-diameter ROIs capture vessel walls and thrombi, large-diameter ROIs reflect peri-vascular tissue responses. 4844 quantitative image markers were extracted and evaluated for their ability to predict thrombus composition using random forest algorithms in a nested fivefold cross validation.ResultsTest set receiver operating characteristic area under the curve was 0.83 (95% CI 0.80 to 0.87) for differentiating RBC-rich thrombi and 0.84 (95% CI 0.80 to 0.87) for differentiating fibrin-rich thrombi. At maximum Youden-Index, RBC-rich thrombi were identified at 77% sensitivity and 74% specificity; for fibrin-rich thrombi the classifier reached 81% sensitivity at 73% specificity.ConclusionsMachine learning based analysis of admission imaging allows for prediction of clot composition. Perspectively, such an approach could allow selection of clot-specific devices and retrieval procedures for personalized thrombectomy strategies.

Abstract. The activity of the Na + /H + exchanger NHE1 is required for human melanoma cell adhesion and migration. The goal of the present study was to suppress mouse melanoma (B16V) cell invasion in vivo by inhibiting NHE1. Intravital observations in mobilized left liver lobes of laparotomized male Sprague-Dawley rats disclosed that five minutes after intra-arterial administration of the B16V cell suspension, cells adhered to the endothelia of liver sinusoidal capillaries and started to migrate into the surrounding liver tissue. In the presence of the NHE1-specific inhibitor cariporide, migration/invasion was reduced by about 50% while adhesion was not lowered. Time-lapse video microscopy and adhesion/invasion assays revealed that in vitro, blockade of NHE1 by cariporide i) significantly decreased the migratory speed of the cells and ii) completely inhibited the invasive behavior of both an artificial, basement membrane-like and a dermis-like matrix. Cells were more motile on the basement membrane and more invasive on the dermis-like matrix. Small-animal PET (positron-emission tomography) analyses of B16V metastasis in female C57BL/6 mice showed that, although NHE1 inhibition hardly affected the percentage of animals developing metastases or relapses, metastases seem to get directed to the lungs in cariporide-treated animals while animals feeding on the standard diet show metastases spread all over the body. We conclude that i) B16V cells prefer to invade a dermis-like rather than a basement membranelike matrix; ii) the extracellular matrix (ECM) composition strongly impacts on NHE1-dependent in vitro cell motility and invasion; and iii) the lungs are metastasis-prone and impair the efficiency of cariporide due to their ECM composition and the pulmonary interstitial (extravascular) pH.

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