IgG glycan patterns are associated with type 2 diabetes in independent European populations (original) (raw)
Related papers
2020
Background: The relationship between IgG N-glycosylation, type 2 diabetes (T2D) and hypertension is not well understood.Methods: A genome-wide association study (GWAS) of IgG N-glycosylation traits from 536 individuals was performed and 1203 IgG N-glycan quantitative trait loci (IgG N-glycan-QTL) variants targeting 24 IgG N-glycosylation were mapped traits after multi-testing correction. Network with bidirectional mendelian randomization (MR) analysis was performed to examine the causal association between IgG N-glycosylation, T2D and hypertension.Results: By linking IgG N-glycan-QTL variants with GWAS results for T2D and hypertension, 19 putatively causal IgG N-glycans for T2D and 21 putatively causal IgG N-glycans for hypertension were identified. IgG N-glycan-QTL determined IgG N-glycosylation to higher T2D was associated with higher hypertension risk (β [95% CI] =1.234 [0.939-1.529], P <0.001). In addition, IgG N-glycan-QTL determined IgG N-glycosylation to higher hypertensio...
Factors Affecting Anti-Glycan IgG and IgM Repertoires in Human Serum
Scientific Reports, 2016
Serum anti-glycan antibodies play important roles in many immune processes and are of particular interest as biomarkers for many diseases. Changes in anti-glycan antibodies can occur with the onset of disease or in response to stimuli such as pathogens and vaccination. Understanding relationships between anti-glycan antibody repertoires and genetic and environment factors is critical for basic research and clinical applications, but little information is available. In this study we evaluated the effects of age, race, gender and blood type on anti-glycan antibody profiles in the serum of 135 healthy subjects. As expected, IgG and IgM antibody signals to blood group antigens correlated strongly with blood type. Interestingly, antibodies to other non-ABH glycans, such as the alpha-Gal antigen, also correlated with blood type. A statistically significant decline in IgM signals with age was observed for many antibody subpopulations, but not for IgG. Moreover, statistically significant co...
N-Glycan Profile and Kidney Disease in Type 1 Diabetes
Diabetes care, 2018
OBJECTIVE Poorer glycemic control in type 1 diabetes may alter N-glycosylation patterns on circulating glycoproteins, and these alterations may be linked with diabetic kidney disease (DKD). We investigated associations between N-glycans and glycemic control and renal function in type 1 diabetes. RESEARCH DESIGN AND METHODS Using serum samples from 818 adults who were considered to have extreme annual loss in estimated glomerular filtration rate (eGFR; i.e., slope) based on retrospective clinical records, from among 6,127 adults in the Scottish Diabetes Research Network Type 1 Bioresource Study, we measured total and IgG-specific N-glycan profiles. This yielded a relative abundance of 39 total (GP) and 24 IgG (IGP) N-glycans. Linear regression models were used to investigate associations between N-glycan structures and HbA 1c , albumin-to-creatinine ratio (ACR), and eGFR slope. Models were adjusted for age, sex, duration of type 1 diabetes, and total serum IgG. RESULTS Higher HbA 1c was associated with a lower relative abundance of simple biantennary N-glycans and a higher relative abundance of more complex structures with more branching, galactosylation, and sialylation (GP12, 26, 31, 32, and 34, and IGP19 and 23; all P < 3.79 3 10 24). Similar patterns were seen for ACR and greater mean annual loss of eGFR, which were also associated with fewer of the simpler N-glycans (all P < 3.79 3 10 24). CONCLUSIONS