Publications by authors named "D K Marek"

Pharmaceuticals (PhACs) are increasingly detected in aquatic ecosystems, yet their effects on biota remain largely unknown. The environmentally relevant concentrations of many PhACs may not result in individual-level responses, like mortality or growth inhibition, traditional toxicity endpoints. However, this doesn't imply the absence of negative effects on biota.

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Article Synopsis
  • Obesity is often viewed as a lifestyle choice rather than a disease, leading to initiatives like the IMI SOPHIA project, which aims to better categorize individuals with obesity based on their disease risk and treatment responses.
  • SOPHIA faces challenges due to siloed clinical cohorts, which limit data sharing for biomarker discovery, but tackles this by using a federated database built on open-source DataSHIELD technology that integrates 16 different data sources.
  • The project allows secure analysis of combined data without revealing individual patient information, demonstrated through a proof-of-concept analysis linking BMI and blood pressure, which showed results similar to traditional meta-analyses, setting a standard for safe collaborative research.
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Staphylococcus aureus is considered one of the leading pathogens responsible for infections in humans and animals. The heterogeneous nature of diseases caused by these bacteria is due to the occurrence of multiple strains, differentiated by several mechanisms of antibiotic resistance and virulence factors. One of these is the ability to form biofilm.

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We identify biomarkers for disease progression in three type 2 diabetes cohorts encompassing 2,973 individuals across three molecular classes, metabolites, lipids and proteins. Homocitrulline, isoleucine and 2-aminoadipic acid, eight triacylglycerol species, and lowered sphingomyelin 42:2;2 levels are predictive of faster progression towards insulin requirement. Of ~1,300 proteins examined in two cohorts, levels of GDF15/MIC-1, IL-18Ra, CRELD1, NogoR, FAS, and ENPP7 are associated with faster progression, whilst SMAC/DIABLO, SPOCK1 and HEMK2 predict lower progression rates.

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An Active Queue Management (AQM) mechanism, recommended by the Internet Engineering Task Force (IETF), increases the efficiency of network transmission. An example of this type of algorithm can be the Random Early Detection (RED) algorithm. The behavior of the RED algorithm strictly depends on the correct selection of its parameters.

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