Publications by authors named "M G Nikolaidis"

Despite the overwhelming number of sports supplements on the market, only seven are currently recognized as effective. Biological functions are largely regulated through redox reactions, yet no comprehensive analysis of the redox properties of these supplements has been compiled. Here, we analyze the redox characteristics of these seven supplements: bicarbonates, beta-alanine, caffeine, creatine, nitrates, carbohydrates, and proteins.

View Article and Find Full Text PDF

Formidable and often seemingly insurmountable conceptual, technical, and methodological challenges hamper the measurement of oxidative stress in humans. For instance, fraught and flawed methods, such as the thiobarbituric acid reactive substances assay kits for lipid peroxidation, rate-limit progress. To advance translational redox research, we present ten comprehensive "cheat codes" for measuring oxidative stress in humans.

View Article and Find Full Text PDF

Bee-collected pollen (BCP) and bee bread (BB) are honey bee products known for their beneficial biological properties. The main goal of this study was to investigate BB microbiota and its contribution to bioactivity exerted by BB. The microbiota of BB samples collected at different maturation stages was investigated via culture-independent (Next Generation Sequencing, NGS) and culture-dependent methods.

View Article and Find Full Text PDF

Multiple myeloma (MM) is an incurable malignant plasma cell disorder characterized by the infiltration of clonal plasma cells in the bone marrow compartment. Gene Expression Profiling (GEP) has emerged as a powerful investigation tool in modern myeloma research enabling the dissection of the molecular background of MM and allowing the identification of gene products that could potentially serve as targets for therapeutic intervention. In this study we investigated shared transcriptomic abnormalities across newly diagnosed multiple myeloma (NDMM) patient cohorts.

View Article and Find Full Text PDF
Article Synopsis
  • The text outlines the use of pyPGCF, a Python software for analyzing bacterial genomes in a Linux environment, focusing on various analyses like phylogenomics and species demarcation.
  • Key features include identifying core and species-specific proteins, functional annotation using eggNOG, and detecting gene clusters with antiSMASH.
  • The software is efficient, capable of analyzing numerous genomes quickly, making it suitable for studying important bacterial species related to plants.
View Article and Find Full Text PDF