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The role of streptococcal nuclease SpnA in host interactions and response

Pathogenic bacteria such as Streptococcus pyogenes have evolved different mechanisms to evade host immune defenses, primarily through the expression of virulence factors. Among these, the Streptococcal nuclease A (SpnA), a cell wall-associated protein, is important in bacterial pathogenesis. SpnA hydrolyzes host DNA present within neutrophil extracellular traps (NETs), therefore helping bacteria t

Cystatin C, beta-2-microglobulin and beta-trace protein in pre-eclampsia

Background. An altered renal function is an essential component of the patho-physiology of pre-eclampsia. The plasma levels of low molecular mass proteins, e. g. beta-trace protein, beta-2-microglobulin and cystatin C, are increased in the third trimester of normal pregnancy. The plasma levels of cystatin C and beta-2-microglobulin are further increased in preeclampsia, and the cystatin C level ha

Composition and microarchitecture of human trabecular bone change with age and differ between anatomical locations

The microarchitecture of trabecular bone adapts to its mechanical loading environment according to Wolff's law and alters with age. Trabecular bone is a metabolically active tissue, thus, its molecular composition and microarchitecture may vary between anatomical locations as a result of the local mechanical loading environment. No comprehensive comparison of composition and microarchitecture of t

Crystal structure of human chondroadherin : Solving a difficult molecular-replacement problem using de novo models

Chondroadherin (CHAD) is a cartilage matrix protein that mediates the adhesion of isolated chondrocytes. Its protein core is composed of 11 leucine-rich repeats (LRR) flanked by cysteine-rich domains. CHAD makes important interactions with collagen as well as with cell-surface heparin sulfate proteoglycans and α2β1 integrins. The integrin-binding site is located in a region of hitherto unknown str

Transfer learning for predicting acute myocardial infarction using electrocardiograms

At the emergency department, it is important to quickly and accurately identify patients at risk of acute myocardial infarction (AMI). One of the main tools for detecting AMI is the electrocardiogram (ECG), which can be difficult to interpret manually. There is a long history of applying machine learning algorithms to ECGs, but such algorithms are quite data hungry, and correctly labeled high-qual

Structural optimization for frictionless contact

Structural optimization aims to find the geometry of the best performing design in a predefined setting, using mathematical techniques. The motivation for this study can be categorized into three main benefits: efficient material usage, enhancing existing designs and enabling new technologies. All of these benefits are crucial for solving contemporary technological and environmental challenges. An