A5036147345- Glycosylation and Glycoproteins Research
- Diabetes and associated disorders
- Galectins and Cancer Biology
- Pancreatic function and diabetes
- Monoclonal and Polyclonal Antibodies Research
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- Gene expression and cancer classification
- Diabetes Treatment and Management
- Biomedical Text Mining and Ontologies
- Amino Acid Enzymes and Metabolism
- Endoplasmic Reticulum Stress and Disease
- VLSI and FPGA Design Techniques
- Advanced Clustering Algorithms Research
- Drug Transport and Resistance Mechanisms
- Pregnancy and preeclampsia studies
- Diet, Metabolism, and Disease
- Carbohydrate Chemistry and Synthesis
- Ubiquitin and proteasome pathways
- Liver Disease Diagnosis and Treatment
- Gestational Diabetes Research and Management
- Peptidase Inhibition and Analysis
- Metabolism, Diabetes, and Cancer
- Heat shock proteins research
- Adipose Tissue and Metabolism
Science Research Laboratory
2020-2024
Genos (Croatia)
2020-2024
University of Zagreb
2019-2023
Plasma protein N-glycan profiling integrates information on enzymatic glycosylation, which is a highly controlled ubiquitous posttranslational modification. Here we investigate the ability of plasma N-glycome to predict incidence type 2 diabetes and cardiovascular diseases (CVDs; i.e., myocardial infarction stroke).Based prospective European Prospective Investigation Cancer (EPIC)-Potsdam cohort (n = 27,548), constructed case-cohorts including random subsample 2,500 participants all...
Immunoglobulin G (IgG) is the most abundant serum antibody which structural characteristics and effector functions are modulated through attachment of various sugar moieties called glycans. Composition IgG N-glycome changes with age an individual in different diseases. Variability glycosylation within a population well studied known to be affected by both genetic environmental factors. However, global inter-population differences have never been properly addressed. Here we present...
Obesity, a major global health problem, is associated with increased cardiometabolic morbidity and mortality. Protein glycosylation frequent posttranslational modification, highly responsive to inflammation ageing. The prospect of biological age reduction, by changing patterns through metabolic intervention, opens many possibilities. We have investigated whether weight loss interventions affect inflammation- ageing-associated IgG changes, in longitudinal cohort bariatric surgery patients. To...
OBJECTIVE N-glycosylation is a functional posttranslational modification of immunoglobulins (Igs). We hypothesized that specific IgG N-glycans are associated with incident type 2 diabetes and cardiovascular disease (CVD). RESEARCH DESIGN AND METHODS performed case-cohort studies within the population-based European Prospective Investigation into Cancer Nutrition (EPIC)–Potsdam cohort (2,127 in subcohort [741 cases]; 2,175 CVD [417 myocardial infarction stroke cases]). Relative abundances 24...
Multiple sclerosis (MS) is an inflammatory autoimmune disorder affecting the central nervous system (CNS), with unresolved aetiology. Previous studies have implicated N-glycosylation, a highly regulated enzymatic attachment of complex sugars to targeted proteins, in MS pathogenesis. We investigated individual variation N-glycosylation total plasma proteome and IgG MS. Both protein N-glycans were chromatographically profiled quantified 83 cases 88 age- sex-matched controls. Comparing levels...
Abstract Aims/hypothesis We previously demonstrated that N-glycosylation of plasma proteins and IgGs is different in children with recent-onset type 1 diabetes compared their healthy siblings. To search for genetic variants contributing to these changes, we undertook a association study the protein IgG N-glycome diabetes. Methods A total 1105 patients from Danish Registry Childhood Adolescent Diabetes were genotyped at 183,546 markers, testing variable levels 24 39 N-glycan traits. In...
The N-glycosylation profile of total human plasma proteins could be a useful biomarker for various pathological states. Reliable high-throughput methods such profiling have been developed. However, studies relative importance genetic and environmental factors in regulating N-glycome are scarce. aim our study was to determine the role phenotypic variation N-glycan through estimates its heritability. Thirty-nine traits were analyzed 2816 individuals from TwinsUK data set. For majority traits,...
Background Monitoring human circulating N-glycome could provide valuable insight into an individual’s metabolic status. Therefore, we examined if aberrant carbohydrate metabolism in gestational diabetes mellitus (GDM) associates with alterations plasma protein, immunoglobulin G (IgG) and A (IgA) N-glycosylation. Methods Plasma IgG IgA N-glycans were enzymatically released, purified chromatographically profiled 48 pregnant women normal glucose tolerance 41 GDM, all sampled at 24–28 weeks of...
Abstract Human protein glycosylation is a complex process, and its in vivo regulation poorly understood. Changes patterns are associated with many human diseases conditions. Understanding the biological determinants of glycome provides basis for future diagnostic therapeutic applications. Genome-wide association studies (GWAS) allow to study biology via hypothesis-free search loci genetic variants trait interest. Sixteen were identified by three previous GWAS plasma proteome N-glycosylation....
Correlation networks are frequently used to statistically extract biological interactions between omics markers. Network edge selection is typically based on the statistical significance of correlation coefficients. This procedure, however, not guaranteed capture mechanisms. We here propose an alternative approach for network reconstruction: a cutoff algorithm that maximizes overlap inferred with available prior knowledge. first evaluate IgG glycomics data, which biochemical pathway known...
Glycomics measurements, like all other high-throughput technologies, are subject to technical variation due fluctuations in the experimental conditions. The removal of this non-biological signal from data is referred as normalization. Contrary omics types, a systematic evaluation normalization options for glycomics has not been published so far. In paper, we assess quality different strategies with an innovative approach. It shown previously that Gaussian Graphical Models (GGMs) inferred...
Antennary fucosylation alterations in plasma glycoproteins have been previously proposed and tested as a biomarker for differentiation of maturity onset diabetes the young (MODY) patients carrying functional mutation HNF1A gene. Here, we developed novel LC-based workflow to analyze blood N-glycan 320 cases with clinical features matching those at risk HNF1A-MODY. Fucosylation levels measured two independent research centers by using similar methods were correlated evaluate interlaboratory...
Abstract Glycans are an essential structural component of Immunoglobulin G (IgG) that modulate its structure and function. However, regulatory mechanisms behind this complex posttranslational modification not well known. Previous genome-wide association studies (GWAS) identified 29 genomic regions involved in regulation IgG glycosylation, but only a few were functionally validated. One the key functional features glycosylation is addition galactose (galactosylation). We performed GWAS...
In a subset of participants from the CALERIE™ Phase 2 study we evaluated effects 2y ∼25% Calorie Restriction (CR) diet on IgG N-glycosylation (GlycAge), plasma and complement C3 N-glycome as markers aging inflammaging.
ABSTRACT Background Obesity is a major global health problem, and associated with increased cardiometabolic morbidity mortality. Protein glycosylation frequent postranslational modification, highly responsive to numerous pathophysiological conditions ageing. The prospect of biological age reduction, by reverting changes through metabolic intervention, opens many possibilities. We have investigated whether weight loss interventions affect inflammation- ageing-associated IgG changes, in...
Aging | doi:10.18632/aging.205106. Azra Frkatović-Hodžić, Anika Mijakovac, Karlo MiÅ¡kec, Arina Nostaeva, Sodbo Z. Sharapov, Arianna Landini, Toomas Haller, Erik van den Akker, Sapna Sharma, Rafael R. C. Cuadrat, Massimo Mangino, Yong Li, Toma Keser, Najda Rudman, Tamara Štambuk, Maja Pučić-Baković, Irena Trbojević-Akmačić, Ivan Gudelj, Jerko Tea Pribić, Barbara Radovani, Petra Tominac, Krista Fischer, Marian Beekman, Manfred Wuhrer, Christian Gieger, Matthias B. Schulze, Clemens...
Maturity-onset diabetes of the young due to hepatocyte nuclear factor-1 alpha variants (HNF1A-MODY) causes monogenic diabetes. Individuals carrying damaging in HNF1A show decreased levels α1-3,4 fucosylation, as demonstrated on antennary fucosylation blood plasma N-glycans. The excellent diagnostic performance this glycan biomarker N-glycans individuals with HNF1A-MODY has been using liquid chromatography methods. Here, we have developed a high-throughput exoglycosidase plate-based assay...
Abstract More than a half of plasma proteins are N-glycosylated. Most them synthesized, glycosylated, and secreted to the bloodstream by liver lymphoid tissues. While associations with N-glycosylation implicated in rising number liver, cardiometabolic, immune diseases, little is known about genetic regulation this process. Here, we performed largest genome-wide association study blood proteome 10,000 individuals. We doubled loci be associated identifying 16 novel prioritizing 13 genes...
Abstract Glycomics measurements, like all other high-throughput technologies, are subject to technical variation due fluctuations in the experimental conditions. The removal of this non-biological signal from data is referred as normalization. Contrary omics types, a systematic evaluation normalization options for glycomics has not been published so far. In paper, we assess quality different strategies with an innovative approach. It shown previously that Gaussian Graphical Models (GGMs)...