LitCovid-sentences  

PMC:7402624 / 50537-52517 JSONTXT 9 Projects

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Id Subject Object Predicate Lexical cue
T291 0-168 Sentence denotes More positive values in UMAP Components 1 or 2 captured mainly signals of change or differences in individual immune features in COVID-19 disease compared to HD and RD.
T292 169-585 Sentence denotes UMAP Component 1 captured an immunotype (Immunotype 1) that was characterized by effector or highly activated CD4 T cells, low cTfh, some CD8 TEMRA-like activation, possibly hyperactivated CD8 T cells, and Tbet+ PB, whereas Component 2 or Immunotype 2 captured Tbetbright effector-like CD8 T cells, lacked some of the robust CD4 T cell activation but has some features of proliferating B cells (Fig. 6G and fig. S8).
T293 586-622 Sentence denotes However, the data presented in Figs.
T294 623-716 Sentence denotes 1 to 5 also suggested a subset of patients with minimal activation of T and B cell responses.
T295 717-912 Sentence denotes To investigate this immune signature, we identified 20 patients who had responses more similar to HD and RD for five activated/responding B and T cell populations (Fig. 6J, middle, and fig. S10).
T296 913-1080 Sentence denotes If the UMAP Components 1 and 2 captured two distinct “immunotypes” of patient responses to SARS-CoV2 infection, this group of 20 patients represent a third immunotype.
T297 1081-1403 Sentence denotes Immunotype 3 was negatively associated with UMAP Components 1 and 2 and negatively associated with disease severity, suggesting that a less robust immune response during COVID-19 was associated with less severe pathology (Fig. 6K and fig. S10), despite the fact that these patients were hospitalized with COVID-19 disease.
T298 1404-1514 Sentence denotes These data further emphasize the different ways patients can present and possibly succumb to COVID-19 disease.
T299 1515-1624 Sentence denotes These patterns may be related to pre-existing conditions in combination with immune response characteristics.
T300 1625-1746 Sentence denotes It is likely that additional immune features, such as comprehensive serum cytokine measurements, will improve this model.
T301 1747-1980 Sentence denotes Nevertheless, the current computational approach integrating deep immune profiling with disease severity trajectory and other clinical information revealed distinct patient immunotypes linked to distinct clinical outcomes (fig. S11).