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Comorbid illnesses are associated with altered adaptive immune responses to SARS-CoV-2
Krystle K.Q. Yu, Stephanie Fischinger, Malisa T. Smith, Caroline Atyeo, Deniz Cizmeci, Caitlin R. Wolf, Erik D. Layton, Jennifer K. Logue, Melissa S. Aguilar, Kiel Shuey, Carolin Loos, Jingyou Yu, Nicholas Franko, Robert Y. Choi, Anna Wald, Dan H. Barouch, David M. Koelle, Douglas Lauffenburger, Helen Y. Chu, Galit Alter, Chetan Seshadri
Krystle K.Q. Yu, Stephanie Fischinger, Malisa T. Smith, Caroline Atyeo, Deniz Cizmeci, Caitlin R. Wolf, Erik D. Layton, Jennifer K. Logue, Melissa S. Aguilar, Kiel Shuey, Carolin Loos, Jingyou Yu, Nicholas Franko, Robert Y. Choi, Anna Wald, Dan H. Barouch, David M. Koelle, Douglas Lauffenburger, Helen Y. Chu, Galit Alter, Chetan Seshadri
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Research Article COVID-19 Immunology

Comorbid illnesses are associated with altered adaptive immune responses to SARS-CoV-2

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Abstract

Comorbid medical illnesses, such as obesity and diabetes, are associated with more severe COVID-19, hospitalization, and death. However, the role of the immune system in mediating these clinical outcomes has not been determined. We used multiparameter flow cytometry and systems serology to comprehensively profile the functions of T cells and antibodies targeting spike, nucleocapsid, and envelope proteins in a convalescent cohort of COVID-19 subjects who were either hospitalized (n = 20) or not hospitalized (n = 40). To avoid confounding, subjects were matched by age, sex, ethnicity, and date of symptom onset. Surprisingly, we found that the magnitude and functional breadth of virus-specific CD4+ T cell and antibody responses were consistently higher among hospitalized subjects, particularly those with medical comorbidities. However, an integrated analysis identified more coordination between polyfunctional CD4+ T cells and antibodies targeting the S1 domain of spike among subjects who were not hospitalized. These data reveal a functionally diverse and coordinated response between T cells and antibodies targeting SARS-CoV-2, which is reduced in the presence of comorbid illnesses that are known risk factors for severe COVID-19.

Authors

Krystle K.Q. Yu, Stephanie Fischinger, Malisa T. Smith, Caroline Atyeo, Deniz Cizmeci, Caitlin R. Wolf, Erik D. Layton, Jennifer K. Logue, Melissa S. Aguilar, Kiel Shuey, Carolin Loos, Jingyou Yu, Nicholas Franko, Robert Y. Choi, Anna Wald, Dan H. Barouch, David M. Koelle, Douglas Lauffenburger, Helen Y. Chu, Galit Alter, Chetan Seshadri

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Figure 1

Cellular and humoral dynamics in a matched cohort of convalescent COVID-19 subjects.

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Cellular and humoral dynamics in a matched cohort of convalescent COVID-...
(A) Study schema. Archived peripheral blood mononuclear cells (PBMC) and plasma from COVID-19 study subjects who were previously hospitalized (purple, n = 20) or nonhospitalized (green, n = 40) were selected based on matching for age, sex, ethnicity, and date of symptom onset. Samples were comprehensively profiled for SARS-CoV-2–specific T cell and antibody phenotypes and functions. Data were analyzed to identify differences between the groups and to build a classifier. DURTs, donor-unrestricted T cells. (B) Antibody neutralization titers were compared between hospitalized and nonhospitalized subjects. NT50 denotes the concentration of serum required to achieve 50% of the maximum neutralization in the assay. (C) Comparison of antibody subclass and isotype levels against spike (S), receptor binding domain (RBD), and nucleocapsid (N) antigens between groups. (D) Flow cytometric analysis comparing the percent of total CD3+ T cells between groups. (E and F) Among CD3+ T cells, the percent of CD4+ T cells (E), CD8+ T cells (F), and activation statuses as defined by coexpression of HLA-DR and CD38 was compared between groups. (G) The frequency of γδ T cells as a percent of total CD3+ T cells and Vδ2 T cell frequencies as a percent of γδ T cells are compared between hospitalized and nonhospitalized patients. (H) The percentage of naive CD4+ and CD8+ T cells as defined by coexpression of CD45RA and CCR7 is assessed between groups. (I) The frequencies of activated γδ and Vδ2 T cells are compared between groups. NT50, Ig titers, and T cell frequencies were compared between groups using Mann-Whitney U tests, followed by correction for multiple hypothesis testing using the Bonferroni method. Median, 25th, and 75th quartiles are indicated for violin plots. If not shown, P values for Mann-Whitney U tests were not significant.

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