Publications by authors named "Matej Nemcic"

Aims: To identify N-glycan structures on immunoglobulin A related to type 1 diabetes mellitus among children at the disease onset and adults with type 1 diabetes mellitus.

Methods: Human polyclonal IgA N-glycans were profiled using hydrophilic interaction ultra performance liquid chromatography in two cohorts. The first cohort consisted of 62 children at the onset of type 1 diabetes mellitus and 86 of their healthy siblings.

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Proteins are known to be social interaction signals in many species in the animal kingdom. Common mediators in mammals and aquatic species, they have seldom been identified as such in insects' behaviors. Yet, they could represent an important component to support social signals in social insects, as the numerous physical contacts between individuals would tend to favor the use of contact compounds in their interactions.

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Article Synopsis
  • The study investigates changes in plasma protein N-glycosylation in adults with type 1 diabetes (T1DM) and compares these changes to those previously observed in children, focusing on aspects like disease duration and complications.
  • Researchers analyzed serum protein N-glycans from 200 adults with T1DM and 298 healthy controls, finding 19 glycan groups with significant differences and some overlapping traits with children's data, such as changes in monogalactosylation.
  • The findings suggest that N-glycome alterations may play a role in various stages of T1DM, highlighting potential links between glycosylation patterns, glycaemic status, and the overall disease process
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Design-of-experiment (DOE) approaches, originally conceived by Fischer, are widely applied in industry, particularly in the context of production for which they have been greatly expended. In a research and development context, DOE can be of great use for method development. Specifically, DOE can greatly speed up instrument parameter optimization by first identifying parameters that are critical to a given outcome, showing parameter interdependency where it occurs and accelerating optimization of said parameters using matrices of experimental conditions.

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