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Search: WFRF:(Sezgin M)

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1.
  • Lindgren, Erik, 1993, et al. (author)
  • A scoring tool to predict mortality and dependency after cerebral venous thrombosis.
  • 2023
  • In: European journal of neurology. - 1468-1331. ; 30:8, s. 2305-2314
  • Journal article (peer-reviewed)abstract
    • We developed a prognostic score to predict dependency and death after cerebral venous thrombosis (CVT) to identify patients for targeted therapy in future clinical trials..We used data from the International CVT Consortium. We excluded patients with pre-existent functional dependency. We used logistic regression to predict poor outcome (modified Rankin Scale 3-6) at 6 months and Cox regression to predict 30-day and 1-year all-cause mortality. Potential predictors derived from previous studies were selected with backward stepwise selection. Coefficients were shrunken using Ridge regression to adjust for optimism in internal validation.Of 1454 patients with CVT, the cumulative number of deaths was 44 (3%) and 70 (5%) for 30days and 1 year, respectively. Of 1126 patients evaluated regarding functional outcome, 137 (12%) were dependent or dead at 6 months. From the retained predictors for both models, we derived the SI2 NCAL2 C score utilizing the following components: absence of female Sex-specific risk factor, Intracerebral hemorrhage, Infection of the central nervous system, Neurologic focal deficits, Coma, Age, lower Level of hemoglobin (g/L), higher Level of glucose (mmol/L) at admission, and Cancer. C-statistics were 0.80 (95%CI 0.75-0.84), 0.84 (95%CI 0.80-0.88) and 0.84 (95%CI 0.80-0.88) for the poor outcome, 30days and 1 year mortality model, respectively. Calibration plots indicated good model fit between predicted and observed values. The SI2 NCAL2 C score calculator is freely available at www.cerebralvenousthrombosis.com.The SI2 NCAL2 C score shows adequate performance for estimating individual risk of mortality and dependency after CVT but external validation of the score is warranted.
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  • Cespedes, PF, et al. (author)
  • T-cell trans-synaptic vesicles are distinct and carry greater effector content than constitutive extracellular vesicles
  • 2022
  • In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 13:1, s. 3460-
  • Journal article (peer-reviewed)abstract
    • The immunological synapse is a molecular hub that facilitates the delivery of three activation signals, namely antigen, costimulation/corepression and cytokines, from antigen-presenting cells (APC) to T cells. T cells release a fourth class of signaling entities, trans-synaptic vesicles (tSV), to mediate bidirectional communication. Here we present bead-supported lipid bilayers (BSLB) as versatile synthetic APCs to capture, characterize and advance the understanding of tSV biogenesis. Specifically, the integration of juxtacrine signals, such as CD40 and antigen, results in the adaptive tailoring and release of tSV, which differ in size, yields and immune receptor cargo compared with steadily released extracellular vesicles (EVs). Focusing on CD40L+tSV as model effectors, we show that PD-L1 trans-presentation together with TSG101, ADAM10 and CD81 are key in determining CD40L vesicular release. Lastly, we find greater RNA-binding protein and microRNA content in tSV compared with EVs, supporting the specialized role of tSV as intercellular messengers.
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10.
  • Felce, JH, et al. (author)
  • Single-Molecule, Super-Resolution, and Functional Analysis of G Protein-Coupled Receptor Behavior Within the T Cell Immunological Synapse
  • 2021
  • In: Frontiers in cell and developmental biology. - : Frontiers Media SA. - 2296-634X. ; 8, s. 608484-
  • Journal article (peer-reviewed)abstract
    • A central process in immunity is the activation of T cells through interaction of T cell receptors (TCRs) with agonistic peptide-major histocompatibility complexes (pMHC) on the surface of antigen presenting cells (APCs). TCR-pMHC binding triggers the formation of an extensive contact between the two cells termed the immunological synapse, which acts as a platform for integration of multiple signals determining cellular outcomes, including those from multiple co-stimulatory/inhibitory receptors. Contributors to this include a number of chemokine receptors, notably CXC-chemokine receptor 4 (CXCR4), and other members of the G protein-coupled receptor (GPCR) family. Although best characterized as mediators of ligand-dependent chemotaxis, some chemokine receptors are also recruited to the synapse and contribute to signaling in the absence of ligation. How these and other GPCRs integrate within the dynamic structure of the synapse is unknown, as is how their normally migratory Gαi-coupled signaling is terminated upon recruitment. Here, we report the spatiotemporal organization of several GPCRs, focusing on CXCR4, and the G protein Gαi2 within the synapse of primary human CD4+ T cells on supported lipid bilayers, using standard- and super-resolution fluorescence microscopy. We find that CXCR4 undergoes orchestrated phases of reorganization, culminating in recruitment to the TCR-enriched center. This appears to be dependent on CXCR4 ubiquitination, and does not involve stable interactions with TCR microclusters, as viewed at the nanoscale. Disruption of this process by mutation impairs CXCR4 contributions to cellular activation. Gαi2 undergoes active exclusion from the synapse, partitioning from centrally-accumulated CXCR4. Using a CRISPR-Cas9 knockout screen, we identify several diverse GPCRs with contributions to T cell activation, most significantly the sphingosine-1-phosphate receptor S1PR1, and the oxysterol receptor GPR183. These, and other GPCRs, undergo organization similar to CXCR4; including initial exclusion, centripetal transport, and lack of receptor-TCR interactions. These constitute the first observations of GPCR dynamics within the synapse, and give insights into how these receptors may contribute to T cell activation. The observation of broad GPCR contributions to T cell activation also opens the possibility that modulating GPCR expression in response to cell status or environment may directly regulate responsiveness to pMHC.
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