Changes Due to Ageing in the Glycan Structure of Alpha-2-Macroglobulin and Its Reactivity with Ligands

Šunderić, Miloš; Križáková, Martina; Malenković, Vesna; Ćujić, Danica; Katrlı́k, Jaroslav; Nedić, Olgica

doi:10.1007/s10930-018-9806-6

Cited by 6 publications

(5 citation statements)

References 28 publications

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“…Nevertheless, differences were observed in glycan microheterogeneity, with an increased sialic acid content released from NUCP α2M [ 51 ]. In addition, glycans attached to α2M have been analysed in a human population of different ages, obtaining increased levels of α2,6-linked sialic acid, mannose, n -acetylglucosamine and multiantennary complex type n -glycans [ 50 ].…”

Section: Glycans Associated With Ageing and Age-related Diseasesmentioning

confidence: 99%

“…Hence, pre-treatment of the sample is required to successfully characterise the full glycome. Regarding the determination techniques, a broad range of analytical platforms can be applied for the profiling, characterisation and analysis of glycans, being the most widely used liquid chromatography coupled with fluorescence detection (LC-FLR) [ 9 , 48 , 97 , 100 ], lectin-based microarray [ 50 , 82 , 85 ], capillary electrophoresis (CE) [ 58 , 71 , 118 ], matrix-assisted laser desorption/ionisation mass spectrometry (MALDI-MS) [ 52 , 75 , 92 , 112 ], LC-MS [ 23 , 24 , 49 , 96 ], DNA sequencer-aided fluorophore-assisted carbohydrate electrophoresis (DSA-FACE) [ 19 , 22 , 74 , 79 ], ion mobility (IM) and NMR [ 93 ]. Several reviews focus exclusively on describing the available techniques used for glycan analysis [ 129 , 130 , 131 ].…”

Section: Glycomics Techniquesmentioning

confidence: 99%

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Glycosylation Biomarkers Associated with Age-Related Diseases and Current Methods for Glycan Analysis

Paton

Suárez

Herrero

et al. 2021

IJMS

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Ageing is a complex process which implies the accumulation of molecular, cellular and organ damage, leading to an increased vulnerability to disease. In Western societies, the increase in the elderly population, which is accompanied by ageing-associated pathologies such as cardiovascular and mental diseases, is becoming an increasing economic and social burden for governments. In order to prevent, treat and determine which subjects are more likely to develop these age-related diseases, predictive biomarkers are required. In this sense, some studies suggest that glycans have a potential role as disease biomarkers, as they modify the functions of proteins and take part in intra- and intercellular biological processes. As the glycome reflects the real-time status of these interactions, its characterisation can provide potential diagnostic and prognostic biomarkers for multifactorial diseases. This review gathers the alterations in protein glycosylation profiles that are associated with ageing and age-related diseases, such as cancer, type 2 diabetes mellitus, metabolic syndrome and several chronic inflammatory diseases. Furthermore, the review includes the available techniques for the determination and characterisation of glycans, such as liquid chromatography, electrophoresis, nuclear magnetic resonance and mass spectrometry.

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Section: Glycans Associated With Ageing and Age-related Diseasesmentioning

confidence: 99%

Section: Glycomics Techniquesmentioning

confidence: 99%

Glycosylation Biomarkers Associated with Age-Related Diseases and Current Methods for Glycan Analysis

Paton

Suárez

Herrero

et al. 2021

IJMS

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“…As a final step, we investigated how our method relates to a more common normalization evaluation strategy: The maximization of the statistical association between normalized values and a given phenotype. We chose age as the phenotype for association, since age has been repeatedly shown to strongly correlate with glycan abundances in blood [ 41 , 42 , 43 , 44 , 45 ].…”

Section: Resultsmentioning

confidence: 99%

Systematic Evaluation of Normalization Methods for Glycomics Data Based on Performance of Network Inference

et al. 2020

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Glycomics measurements, like all other high-throughput technologies, are subject to technical variation due to fluctuations in the experimental conditions. The removal of this non-biological signal from the data is referred to as normalization. Contrary to other omics data types, a systematic evaluation of normalization options for glycomics data has not been published so far. In this paper, we assess the quality of different normalization strategies for glycomics data with an innovative approach. It has been shown previously that Gaussian Graphical Models (GGMs) inferred from glycomics data are able to identify enzymatic steps in the glycan synthesis pathways in a data-driven fashion. Based on this finding, here, we quantify the quality of a given normalization method according to how well a GGM inferred from the respective normalized data reconstructs known synthesis reactions in the glycosylation pathway. The method therefore exploits a biological measure of goodness. We analyzed 23 different normalization combinations applied to six large-scale glycomics cohorts across three experimental platforms: Liquid Chromatography – ElectroSpray Ionization - Mass Spectrometry (LC-ESI-MS), Ultra High Performance Liquid Chromatography with Fluorescence Detection (UHPLC-FLD), and Matrix Assisted Laser Desorption Ionization – Furier Transform Ion Cyclotron Resonance – Mass Spectrometry (MALDI-FTICR-MS). Based on our results, we recommend normalizing glycan data using the ‘Probabilistic Quotient’ method followed by log-transformation, irrespective of the measurement platform. This recommendation is further supported by an additional analysis, where we ranked normalization methods based on their statistical associations with age, a factor known to associate with glycomics measurements.

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“…Several of the proteins that were associated with age independent of amyloid status have been previously reported to increase with older age, including NEFL, 29 YKL‐40, 30,31 A2M, 32 CLU, 33 C4 34,35 , and SNCA 36 . Two previous studies analyzed age effects on the CSF proteome, 6,7 which reported 30 6 and 77 7 age‐related proteins.…”

Section: Discussionmentioning

confidence: 99%

Effects of age, amyloid, sex, and APOE ε4 on the CSF proteome in normal cognition

Wesenhagen

Gobom

Bos

et al. 2022

Alz & Dem Diag Ass & Dis Mo

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Introduction It is important to understand which biological processes change with aging, and how such changes are associated with increased Alzheimer's disease (AD) risk. We studied how cerebrospinal fluid (CSF) proteomics changed with age and tested if associations depended on amyloid status, sex, and apolipoprotein E Ɛ4 genotype. Methods We included 277 cognitively intact individuals aged 46 to 89 years from Alzheimer's Disease Neuroimaging Initiative, European Medical Information Framework for Alzheimer's Disease Multimodal Biomarker Discovery, and Metabolic Syndrome in Men. In total, 1149 proteins were measured with liquid chromatography mass spectrometry with multiple reaction monitoring/Rules‐Based Medicine, tandem mass tag mass spectrometry, and SOMAscan. We tested associations between age and protein levels in linear models and tested enrichment for Reactome pathways. Results Levels of 252 proteins increased with age independently of amyloid status. These proteins were associated with immune and signaling processes. Levels of 21 proteins decreased with older age exclusively in amyloid abnormal participants and these were enriched for extracellular matrix organization. Discussion We found amyloid‐independent and ‐dependent CSF proteome changes with older age, perhaps representing physiological aging and early AD pathology.

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Changes Due to Ageing in the Glycan Structure of Alpha-2-Macroglobulin and Its Reactivity with Ligands

Cited by 6 publications

References 28 publications

Glycosylation Biomarkers Associated with Age-Related Diseases and Current Methods for Glycan Analysis

Glycosylation Biomarkers Associated with Age-Related Diseases and Current Methods for Glycan Analysis

Systematic Evaluation of Normalization Methods for Glycomics Data Based on Performance of Network Inference

Effects of age, amyloid, sex, and APOE ε4 on the CSF proteome in normal cognition

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