| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T3 |
0-8 |
Sentence |
denotes |
Abstract |
| T4 |
9-118 |
Sentence |
denotes |
A large variation in the severity of disease symptoms is one of the key open questions in COVID-19 pandemics. |
| T5 |
119-350 |
Sentence |
denotes |
The fact that only a small subset of people infected with SARS-CoV-2 develop severe disease suggests that there have to be some predisposing factors, but biomarkers that reliably predict disease severity have not been found so far. |
| T6 |
351-653 |
Sentence |
denotes |
Since overactivation of the immune system is implicated in a severe form of COVID-19 and the IgG glycosylation is known to be involved in the regulation of different immune processes, we evaluated the association of inter-individual variation in IgG N-glycome composition with the severity of COVID-19. |
| T7 |
654-831 |
Sentence |
denotes |
The analysis of 166 severe and 167 mild cases from hospitals in Spain, Italy and Portugal revealed statistically significant differences in the composition of the IgG N-glycome. |
| T8 |
832-961 |
Sentence |
denotes |
The most notable difference was the decrease in bisecting N-acetylglucosamine (GlcNAc) in severe patients from all three cohorts. |
| T9 |
962-1139 |
Sentence |
denotes |
IgG galactosylation was also lower in severe cases in all cohorts, but the difference in galactosylation was not statistically significant after correction for multiple testing. |
