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Open AccessJournal ArticleDOI

Glycans Are a Novel Biomarker of Chronological and Biological Ages

TLDR
This study has revealed very extensive and complex changes in IgG glycosylation with age, and the combined index composed of only three glycans explained up to 58% of variance in age, considerably more than other biomarkers of age like telomere lengths.
Abstract
Aging is a complex process of accumulation of molecular, cellular, and organ damage, leading to loss of function and increased vulnerability to disease and finally to death (1). It is well known that lifestyle choices such as smoking and physical activity can hasten or delay the aging process (2). Such observations have led to the search for molecular markers of age that can be used to predict, monitor, and provide insight into age-associated physiological decline and disease. Protein structure is defined by the sequence of nucleotides in the corresponding genes, thus the polypeptide sequence of a protein cannot change with age. However, an important structural and functional element of the majority of proteins are the glycans that participate in virtually all physiological processes (3). Glycans are product of a complex pathway that involves hundreds of different proteins and are encoded in a complex dynamic network of hundreds of genes (4). Epigenetic regulation of gene expression is expected to affect protein glycosylation and several publications recently reported this effect (5–8). Changes in glycosylation with age have been shown over 20 years ago (9) and have also replicated in recent large population studies (10–13). Immunoglobulin G (IgG) is an excellent model glycoprotein because its glycosylation has been well defined (Figure 1), and many important functional effects of alternative IgG glycosylation have been described (14). For example, glycosylation acts as a switch between pro- and anti-inflammatory IgG functionality. Most of the IgG molecules are not sialylated and are proinflammatory. Terminal α2,6-sialylation of IgG glycans decreases the ability of IgG to bind to activating FcγRs and promotes recognition by DC-SIGN, which increases expression of inhibitory FcγRIIB and is anti-inflammatory (15). Another fascinating example is the role of core fucose in the modulation of antibody-dependent cellular cytotoxicity: IgG-containing glycans that lack core fucose have 100-fold increased affinity for FcγRIIIA and are therefore much more efficient in activating antibody-dependent cellular cytotoxicity than fucosylated glycoforms of the same molecule (16). On average, 95% of the IgG population is core fucosylated (12); thus, most of the immunoglobulins have a “safety switch,” which prevents them from activating antibody-dependent cellular cytotoxicity. Malfunction of this system appears to be associated with autoimmune diseases as indicated by both pleiotropic effects of genes that associate with IgG glycosylation on different inflammatory and autoimmune diseases, and the observed alterations in IgG glycosylation in systemic lupus erythematous (17) and many inflammatory diseases (18). Figure 1. UPLC analysis of immunoglobulin G (IgG) glycosylation. Each IgG contains one conserved N-glycosylation site on Asn197 of its heavy chain. Different glycans can be attached to this site and the process seems to be highly regulated. UPLC analysis can reveal ... Interindividual variability of IgG glycosylation in a population is large (12) and it appears to be affected by both variation in DNA sequence (19) and environmental factors (11). Most of the studies that investigated glycosylation changes with age were either of limited size or were performed on the total plasma glycome; thus, in addition to changes in glycosylation, the observed differences reflected changes in the concentration of individual plasma proteins. In this study, we focused on glycosylation of IgG and analyzed more than 5,000 individuals from four different European populations to provide definitive data about changes in IgG glycosylation through the lifetime.

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Journal ArticleDOI

Inflammaging: a new immune–metabolic viewpoint for age-related diseases

TL;DR: It is argued that chronic diseases are not only the result of ageing and inflammaging; these diseases also accelerate the ageing process and can be considered a manifestation of accelerated ageing, and the use of new biomarkers capable of assessing biological versus chronological age in metabolic diseases is proposed.
Journal ArticleDOI

Why does COVID-19 disproportionately affect older people?

TL;DR: The molecular differences between young, middle-aged and older people that may explain why COVID-19 is a mild illness in some but life-threatening in others are presented and treatments that could increase the survival of older people are discussed.
Journal ArticleDOI

Biological Age Predictors

TL;DR: Current state-of-the-art findings considering six potential types of biological age predictors are summarized, including epigenetic clocks, telomere length, transcriptomic predictors, proteomic Predictors, metabolomics-based predictor, and composite biomarker predictors.
Journal ArticleDOI

Human plasma protein N-glycosylation

TL;DR: This review aims to convey the current state of knowledge on the N-glycosylation of the major plasma glycoproteins alpha-1-acid glycoprotein, alpha-2-HS-glycop protein, and speculate how the individual proteins may contribute to a total plasma N-behavioural profile determined at the released glycan level.
Journal ArticleDOI

Virus-Receptor Interactions of Glycosylated SARS-CoV-2 Spike and Human ACE2 Receptor.

TL;DR: Glycomics-informed glycoproteomics is utilized to characterize site-specific microheterogeneity of glycosylation for a recombinant trimer Spike mimetic immunogen and for a soluble version of human ACE2, which can facilitate immunogen design to achieve antibody neutralization and inform therapeutic strategies to inhibit viral infection.
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
Journal ArticleDOI

A new look at the statistical model identification

TL;DR: In this article, a new estimate minimum information theoretical criterion estimate (MAICE) is introduced for the purpose of statistical identification, which is free from the ambiguities inherent in the application of conventional hypothesis testing procedure.

ANew Look at the Statistical Model Identification

TL;DR: In this paper, the authors reviewed the history of statistical hypothesis testing in time series analysis and pointed out that the hypothesis testing procedure is not adequately defined as the procedure for statistical model identification.
Journal ArticleDOI

Physical Fitness and All-Cause Mortality: A Prospective Study of Healthy Men and Women

TL;DR: Higher levels of physical fitness appear to delay all-cause mortality primarily due to lowered rates of cardiovascular disease and cancer, and lower mortality rates in higher fitness categories also were seen for cardiovascular Disease and cancer of combined sites.
Journal ArticleDOI

Inflamm‐aging: An Evolutionary Perspective on Immunosenescence

TL;DR: The beneficial effects of inflammation devoted to the neutralization of dangerous/harmful agents early in life and in adulthood become detrimental late in life in a period largely not foreseen by evolution, according to the antagonistic pleiotropy theory of aging.
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