Publications by authors named "M Malenica"
Phenomic selection is a recent approach suggested as a low-cost, high-throughput alternative to genomic selection. Instead of using genetic markers, it employs spectral data to predict complex traits using equivalent statistical models. Phenomic selection has been shown to outperform genomic selection when using spectral data that was obtained within the same generation as the traits that were predicted.
View Article and Find Full Text PDFPropolis has gained popularity in recent years as a potential preventive and therapeutic agent due to its numerous health benefits, which include immune system boosting, blood pressure lowering, allergy treatment, and skin disease treatment. The pharmacological activity of propolis is primarily attributed to phenolics and their interactions with other compounds. Given that phenols account for most of propolis's biological activity, various extraction methods are being developed.
View Article and Find Full Text PDFArticle Synopsis
- Dyskinetic disorders (-RD) are a set of neurodevelopmental and movement issues caused by gene variants, with dyskinetic crises characterized by sudden, intense abnormal movements that pose treatment challenges.
- The study utilized a Delphi consensus method with international experts to create a framework on dyskinetic crises, covering definitions, triggers, diagnostic criteria, complications, and management strategies.
- The consensus defined dyskinetic crises, noted potential triggers like stress and infections, suggested acute management options such as benzodiazepines, and stressed the need for better education for parents and caregivers to facilitate early recognition and intervention.
Aim: To assess the association of single nucleotide polymorphisms (SNPs) in the ACE2 and TMPRSS2 genes with COVID-19 severity and key biomarkers.
Methods: The study involved 750 COVID-19 patients from Bosnia and Herzegovina, divided into three groups: mild, moderate, and severe cases. Genetic variations within the ACE2 (rs2285666) and TMPRSS2 (rs2070788) genes were examined with real-time polymerase chain reaction.
Background: The aim of the study was to explore the mutual relationship between oxidative stress, inflammation and metabolic biomarkers in subjects with prediabetes (PRE), newly diagnosed type 2 diabetes patients (NT2D) and overt type 2 diabetes (T2D) using principal component analysis (PCA) as a thorough statistical approach.
Methods: Glycated hemoglobin, lipid parameters, inflammation (IL-6, CRP and fibrinogen) and oxidative stress markers pro-oxidants (AOPP, PAB, TOS) and antioxidants (PON1, tSHG, TAS) were measured. PCA was applied to explore the factors that the most strongly influenced glucoregulation.