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Assarsson, E.

Publications and source records attributed to Assarsson, E..

2 recordsLinked to original sources

Jagged1 overexpression on T cells induces thymic regulatory T cells leading to thymic involution

We previously described a mouse model, tg66, with a severe defect resulting in diminished thymic size and complete involution by early adulthood. In the current study, we identified overexpression of Jagged1 as a mechanism for the alterations in thymic development in tg66 mice. T cells in the tg66 thymus were skewed towards CD8+ T cells, and within the CD4+ T cell compartment there was an over-representation of Foxp3+ cells. Regulatory Foxp3+ T cells (Tregs) isolated from tg66 mice had increased ST2 and CD103 expression. These Tregs could suppress proliferation to the same extent as conventional Tregs. Corroborating these results, tg66 mice were resistant to experimental induction of neuroinflammation in a common animal model for multiple sclerosis (EAE). Using bone marrow chimeras, we recorded a stark reduction in the number of thymocytes and a corresponding increase in Tregs in the thymus of mice receiving tg66 bone marrow. Conversely, through blocking Jagged1, the number of thymocytes was significantly increased, being concomitantly associated with a drop in the frequency of Tregs. We conclude that Tregs may play a role in thymic involution and could explain early thymic involution or loss as it is observed in diseases of thymic atrophy such as Down syndrome.

immunology↗

High throughput proteomics identifies 484 high-accuracy plasma protein biomarker signatures for ovarian cancer

Ovarian cancer is usually detected at a late stage with the 5-year survival at only 30-40%. Additional means for early detection and improved diagnosis are acutely needed. To search for novel biomarkers, we compared circulating plasma levels of 981 proteins in patients with ovarian cancer and benign tumours, using the proximity extension assay. A novel combinatorial strategy was developed for identification of multivariate biomarker signatures, resulting in 484 mutually exclusive models out of which 448 did not contain the present biomarker MUCIN-16. The top-ranking model consisted of 14 proteins and had a AUC=0.95, PPV=1.0, sensitivity=0.99 and specificity=1.0 for detection of stage III-IV ovarian cancer in the discovery data, and an AUC=0.89, PPV=0.93, sensitivity=0.89 and specificity=0.95 in the replication data. The novel plasma protein signature could be used to improve the diagnosis of women with adnexal ovarian mass or in screening to identify women that should be referred to specialized examination.

cancer biology↗