| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T1 |
0-101 |
Sentence |
denotes |
Deep immune profiling of COVID-19 patients reveals distinct immunotypes with therapeutic implications |
| T2 |
103-111 |
Sentence |
denotes |
Abstract |
| T3 |
112-218 |
Sentence |
denotes |
COVID-19 is currently a global pandemic, but human immune responses to the virus remain poorly understood. |
| T4 |
219-333 |
Sentence |
denotes |
We analyzed 125 COVID-19 patients, and compared recovered to healthy individuals using high dimensional cytometry. |
| T5 |
334-472 |
Sentence |
denotes |
Integrated analysis of ~200 immune and ~50 clinical features revealed activation of T cell and B cell subsets in a proportion of patients. |
| T6 |
473-621 |
Sentence |
denotes |
A subgroup of patients had T cell activation characteristic of acute viral infection and plasmablast responses reaching >30% of circulating B cells. |
| T7 |
622-708 |
Sentence |
denotes |
However, another subgroup had lymphocyte activation comparable to uninfected subjects. |
| T8 |
709-826 |
Sentence |
denotes |
Stable versus dynamic immunological signatures were identified and linked to trajectories of disease severity change. |
| T9 |
827-940 |
Sentence |
denotes |
These analyses identified three “immunotypes” associated with poor clinical trajectories versus improving health. |
| T10 |
941-1038 |
Sentence |
denotes |
These immunotypes may have implications for the design of therapeutics and vaccines for COVID-19. |
| T11 |
1040-1136 |
Sentence |
denotes |
The COVID-19 pandemic has to date caused >7 million infections resulting in over 400,000 deaths. |
