Publications by authors named "Christina Kabjoern Gustafsson"

Inflammation and infection postpartum threaten the mother and her infant. Human milk provides a defense for the infant, but inflammatory complications like mastitis may lead to the cessation of breastfeeding. Antisecretory factor (AF) has a role in the regulation of secretory processes and inflammation.

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Background: Platelets support cancer growth and spread making platelet proteins candidates in the search for biomarkers.

Methods: Two-dimensional (2D) gel electrophoresis, Partial Least Squares Discriminant Analysis (PLS-DA), Western blot, DigiWest.

Results: PLS-DA of platelet protein expression in 2D gels suggested differences between the International Federation of Gynaecology and Obstetrics (FIGO) stages III-IV of ovarian cancer, compared to benign adnexal lesions with a sensitivity of 96% and a specificity of 88%.

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Transplant recipients are at high risk of cytomegalovirus (CMV) infection. Mechanisms explaining the variation in risk of infections are far from fully elucidated. We hypothesised that host genetics explains part of the variation in risk of infection and examined if relatives of recipients with CMV infection have higher rates of severe infections compared to relatives of recipients without this infectious phenotype.

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Background: Asthma is a chronic inflammatory airway disorder known to involve the peripheral airways. Current guidelines state that diagnosis and treatment should be guided by symptoms and spirometry. FEV(1) is, however, a poor marker of small airway function and correlates poorly with asthma control and airway inflammation.

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Fraction of exhaled nitric oxide (FENO) is often reduced in cystic fibrosis (CF). FENO at different expiratory flows can provide an indication of the site of nitric oxide production. The aim of this study was to examine whether NO parameters are related to overall (FEV(1)) or peripheral (lung clearance index, LCI, measured by multiple breath SF(6) washout) airway function and systemic inflammation in CF.

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We propose a ground target recognition method based on 3-D laser radar data. The method handles general 3-D scattered data. It is based on the fact that man-made objects of complex shape can be decomposed to a set of rectangles.

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