Longitudinal analyses reveal age-specific immune correlates of COVID-19 severity
Lewis, S. A.; Sureshchandra, S.; Zulu, M. Z.; Doratt, B.; Pinski, A.; Curtis, M.; Jankeel, A.; Ibraim, I.; Rhoades, N.; Jiang, X.; Tifrea, D.; Zaldivar, F.; Shen, W.; Edwards, R.; Chow, D.; Cooper, D.; Amin, A.; Messaoudi, I.
Show abstract
Severe COVID-19 disproportionately impacts older individuals and those with comorbidities. It is estimated that approximately 80% of COVID-19 deaths are observed among individuals >65 years of age. However, the immunological underpinnings of severe COVID-19 in the aged have yet to be defined. This study captures the longitudinal immune response to SARS-CoV-2 infection in a cohort of young and aged patients with varying disease severity. Phenotypic transcriptional and functional examination of the peripheral mononuclear cells revealed age-, time, and disease severity-specific adaptations. Gene expression signatures within memory B cells suggest qualitative differences in the antibody responses in aged patients with severe disease. Examination of T cells showed profound lymphopenia, that worsened over time and correlated with lower levels of plasma cytokines important for T cell survival in aged patients with severe disease. Single cell RNA sequencing revealed augmented signatures of activation, exhaustion, cytotoxicity, and type-I interferon signaling in memory T cells and NK cells. Although hallmarks of a cytokine storm were evident in both groups, older individuals exhibited elevated levels of chemokines that mobilize inflammatory myeloid cells, notably in those who succumbed to disease. Correspondingly, we observed a re-distribution of DC and monocytes with severe disease that was accompanied by a rewiring towards a more regulatory phenotype. Several of these critical changes, such as the reduction of surface HLA-DR on myeloid cells, were reversed in young but not aged patients over time. In summary, the data presented here provide novel insights into the impact of aging on the host response to SARS-CoV2 infection.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Profile of SARS-CoV-2-specific CD4 T cell response: Relationship with disease severity and impact of HIV-1 and active Mycobacterium tuberculosis co-infection 95%
- The COVID-19 immune landscape is dynamically and reversibly correlated with disease severity 95%
- Maintenance DNA methylation is essential for regulatory T cell development and stability of suppressive function 94%
Similar papers in this journal
Similar papers in this journal
- Early immune pathology and persistent dysregulation characterise severe COVID-19 97%
- Analysis of respiratory and systemic immune responses in COVID-19 reveals mechanisms of disease pathogenesis 95%
- Post-infectious inflammatory disease in MIS-C features elevated cytotoxicity signatures and autoreactivity that correlates with severity 95%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.