Longitudinal analyses reveal age-specific immune correlates of COVID-19 severity

ABSTRACTSevere 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.

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519. Immune responses and COVID-19 severity

Open Forum Infectious Diseases ◽

10.1093/ofid/ofaa439.713 ◽

2020 ◽

Vol 7 (Supplement_1) ◽

pp. S325-S325

Author(s):

mirella salvatore ◽

Charles K Vorkas ◽

Harjot Sing ◽

Ayana Morales ◽

Rosemary Soave ◽

...

Keyword(s):

T Cells ◽

Immune Responses ◽

Disease Severity ◽

Severe Disease ◽

Laboratory Data ◽

Disease Onset ◽

Disease Evolution ◽

Igm Antibody ◽

Immune Correlates ◽

Over Time

Abstract Background The coronavirus-19-disease (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread to >200 countries and surpassed 7 million cases. There is a broad range of COVID-19 illness, ranging from milder disease to a rapidly progressive respiratory disease and ARDS. The causes of this different clinical course and the drivers for severe disease are currently unknown. A fulminant increase of pro-inflammatory cytokines is thought to play a role in causing a rapid disease evolution, however the immune correlates of severe COVID-19 remain unclear. Methods To gain insight into relationship between immune responses and disease severity we built a longitudinal cohort of 40 adult patients with known COVID-19. Samples were collected at diagnosis and every 7 days until hospital discharge or death. As controls we also included a group of convalescent patients, and subjects who tested negative for COVID-19 by PCR. Clinical and laboratory data and were also collected. Multicolor flow cytometry was used to determine the presence and phenotype of B, T and natural killer (NK) cells. We also identified specific sub-populations (Tfh, activated/cytotoxic CD8 and NK) and assessed lymphoid exhaustion of different cell types such as naïve, memory T cells, or NK over time. Anti-Sars-CoV2 IgG and IgM antibody were detected using lateral flow method. Results We found that the absolute number of lymphocytes and monocytes was decreased starting at diagnosis and correlated with disease severity. Disease severity correlated with decreased NK and T cell. In severe COVID-19 cases, NK cell populations were strongly decreased over time in intubated patients while they recovered in patients who improved and were discharged. CD8+ were also decreased at disease onset and seemed to correlate with disease severity. A high percentage of CD4+ and CD8+ T cells showed an exhausted phenotype. All patients tested at admission had IgM antibody responses irrespective of the course of the disease. Further analyses are ongoing. Conclusion The characterization and role of the immune responses in COVID-19 evolution is still under investigation. Further characterization of viral and immune factors will help in identifying subjects at high risk of severe disease and targets for intervention. Disclosures All Authors: No reported disclosures

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CD169/SIGLEC1 is expressed on circulating monocytes in COVID-19 and expression levels are associated with disease severity

Infection ◽

10.1007/s15010-021-01606-9 ◽

2021 ◽

Author(s):

Jan-Moritz Doehn ◽

Christoph Tabeling ◽

Robert Biesen ◽

Jacopo Saccomanno ◽

Elena Madlung ◽

...

Keyword(s):

Severe Acute Respiratory Syndrome ◽

Disease Severity ◽

Clinical Studies ◽

Viral Infections ◽

Severe Disease ◽

Type I Interferons ◽

Type I ◽

Interferon Signaling ◽

Expression Levels

AbstractCoronavirus disease 2019 (COVID-19) is caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Type I interferons are important in the defense of viral infections. Recently, neutralizing IgG auto-antibodies against type I interferons were found in patients with severe COVID-19 infection. Here, we analyzed expression of CD169/SIGLEC1, a well described downstream molecule in interferon signaling, and found increased monocytic CD169/SIGLEC1 expression levels in patients with mild, acute COVID-19, compared to patients with severe disease. We recommend further clinical studies to evaluate the value of CD169/SIGLEC1 expression in patients with COVID-19 with or without auto-antibodies against type I interferons.

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The interplay between environmental exposures and COVID-19 risks in the health of children

Environmental Health ◽

10.1186/s12940-021-00716-z ◽

2021 ◽

Vol 20 (1) ◽

Author(s):

Peter D. Sly ◽

Brittany A. Trottier ◽

Catherine M. Bulka ◽

Stephania A. Cormier ◽

Julius Fobil ◽

...

Keyword(s):

Air Pollution ◽

Air Quality ◽

Disease Severity ◽

Research Effort ◽

Severe Disease ◽

Environmental Exposures ◽

Research Strategy ◽

Lessons Learned ◽

Research Questions ◽

The Impact

Abstract Background An unusual feature of SARS-Cov-2 infection and the COVID-19 pandemic is that children are less severely affected than adults. This is especially paradoxical given the epidemiological links between poor air quality and increased COVID-19 severity in adults and that children are generally more vulnerable than adults to the adverse consequences of air pollution. Objectives To identify gaps in knowledge about the factors that protect children from severe SARS-Cov-2 infection even in the face of air pollution, and to develop a transdisciplinary research strategy to address these gaps. Methods An international group of researchers interested in children’s environmental health was invited to identify knowledge gaps and to develop research questions to close these gaps. Discussion Key research questions identified include: what are the effects of SAR-Cov-2 infection during pregnancy on the developing fetus and child; what is the impact of age at infection and genetic susceptibility on disease severity; why do some children with COVID-19 infection develop toxic shock and Kawasaki-like symptoms; what are the impacts of toxic environmental exposures including poor air quality, chemical and metal exposures on innate immunity, especially in the respiratory epithelium; what is the possible role of a “dirty” environment in conveying protection – an example of the “hygiene hypothesis”; and what are the long term health effects of SARS-Cov-2 infection in early life. Conclusion A concerted research effort by a multidisciplinary team of scientists is needed to understand the links between environmental exposures, especially air pollution and COVID-19. We call for specific research funding to encourage basic and clinical research to understand if/why exposure to environmental factors is associated with more severe disease, why children appear to be protected, and how innate immune responses may be involved. Lessons learned about SARS-Cov-2 infection in our children will help us to understand and reduce disease severity in adults, the opposite of the usual scenario.

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The impact of multiple sclerosis severity on health state utility values: Evidence from Australia

Multiple Sclerosis Journal ◽

10.1177/1352458516672014 ◽

2016 ◽

Vol 23 (8) ◽

pp. 1157-1166 ◽

Cited By ~ 13

Author(s):

Hasnat Ahmad ◽

Bruce V Taylor ◽

Ingrid van der Mei ◽

Sam Colman ◽

Beth A O’Leary ◽

...

Keyword(s):

Multiple Sclerosis ◽

Disease Severity ◽

Severe Disease ◽

Health Utility ◽

Health State Utility ◽

Health State ◽

Utility Values ◽

Health State Utility Values ◽

Economic Analyses ◽

The Impact

Background: The measurement of health state utility values (HSUVs) for a representative sample of Australian people with multiple sclerosis (MS) has not previously been performed. Objectives: Our main aim was to quantify the HSUVs for different levels of disease severities in Australian people with MS. Method: HSUVs were calculated by employing a ‘judgement-based’ method that essentially creates EQ-5D-3L profiles based on WHOQOL-100 responses and then applying utility weights to each level in each dimension. A stepwise linear regression was used to evaluate the relationship between HSUVs and disease severity, classified as mild (Expanded Disability Status Scale (EDSS) levels: 0–3.5), moderate (EDSS levels: 4–6) and severe (EDSS levels: 6.5–9.5). Results: Mean HSUV for all people with MS was 0.53 (95% confidence interval (CI): 0.52–0.54). Utility decreased with increasing disease severity: 0.61 (95% CI: 0.60–0.62), 0.51 (95% CI: 0.50–0.52) and 0.40 (95% CI: 0.38–0.43) for mild, moderate and severe disease, respectively. Adjusted differences in mean HSUV between the three severity groups were statistically significant. Conclusion: For the first time in Australia, we have quantified the impact of increasing severity of MS on health utility of people with MS. The HSUVs we have generated will be useful in further health economic analyses of interventions that slow progression of MS.

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Transcriptional Changes in Regulatory T Cells From Patients With Autoimmune Polyendocrine Syndrome Type 1 Suggest Functional Impairment of Lipid Metabolism and Gut Homing

Frontiers in Immunology ◽

10.3389/fimmu.2021.722860 ◽

2021 ◽

Vol 12 ◽

Author(s):

Amund Holte Berger ◽

Eirik Bratland ◽

Thea Sjøgren ◽

Marte Heimli ◽

Torgeir Tyssedal ◽

...

Keyword(s):

T Cells ◽

Regulatory T Cells ◽

Type I ◽

Syndrome Type ◽

Functional Studies ◽

Autoimmune Polyendocrine Syndrome ◽

Organ Specific ◽

Hla Dqa1 ◽

And Function ◽

The Impact

Autoimmune polyendocrine syndrome type I (APS-1) is a monogenic model disorder of organ-specific autoimmunity caused by mutations in the Autoimmune regulator (AIRE) gene. AIRE facilitates the expression of organ-specific transcripts in the thymus, which is essential for efficient removal of dangerous self-reacting T cells and for inducing regulatory T cells (Tregs). Although reduced numbers and function of Tregs have been reported in APS-I patients, the impact of AIRE deficiency on gene expression in these cells is unknown. Here, we report for the first time on global transcriptional patterns of isolated Tregs from APS-1 patients compared to healthy subjects. Overall, we found few differences between the groups, although deviant expression was observed for the genes TMEM39B, SKIDA1, TLN2, GPR15, FASN, BCAR1, HLA-DQA1, HLA-DQB1, HLA-DRA, GPSM3 and AKR1C3. Of significant interest, the consistent downregulation of GPR15 may indicate failure of Treg gut homing which could be of relevance for the gastrointestinal manifestations commonly seen in APS-1. Upregulated FASN expression in APS-1 Tregs points to increased metabolic activity suggesting a putative link to faulty Treg function. Functional studies are needed to determine the significance of these findings for the immunopathogenesis of APS-1 and for Treg immunobiology in general.

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Baseline T cell immune phenotypes predict virologic and disease control upon SARS-CoV infection

10.1101/2020.09.21.306837 ◽

2020 ◽

Author(s):

Jessica B. Graham ◽

Jessica L. Swarts ◽

Sarah R. Leist ◽

Alexandra Schäfer ◽

Vineet D. Menachery ◽

...

Keyword(s):

T Cells ◽

T Cell ◽

Clinical Outcomes ◽

Severe Disease ◽

Collaborative Cross ◽

Viral Control ◽

Major Barrier ◽

Mild Disease ◽

Immune Correlates ◽

Wide Range

AbstractThe COVID-19 pandemic has revealed that infection with SARS-CoV-2 can result in a wide range of clinical outcomes in humans, from asymptomatic or mild disease to severe disease that can require mechanical ventilation. An incomplete understanding of immune correlates of protection represents a major barrier to the design of vaccines and therapeutic approaches to prevent infection or limit disease. This deficit is largely due to the lack of prospectively collected, pre-infection samples from indiviuals that go on to become infected with SARS-CoV-2. Here, we utilized data from a screen of genetically diverse mice from the Collaborative Cross (CC) infected with SARS-CoV to determine whether circulating baseline T cell signatures are associated with a lack of viral control and severe disease upon infection. SARS-CoV infection of CC mice results in a variety of viral load trajectories and disease outcomes. Further, early control of virus in the lung correlates with an increased abundance of activated CD4 and CD8 T cells and regulatory T cells prior to infections across strains. A basal propensity of T cells to express IFNg and IL17 over TNFa also correlated with early viral control. Overall, a dysregulated, pro-inflammatory signature of circulating T cells at baseline was associated with severe disease upon infection. While future studies of human samples prior to infection with SARS-CoV-2 are required, our studies in mice with SARS-CoV serve as proof of concept that circulating T cell signatures at baseline can predict clinical and virologic outcomes upon SARS-CoV infection. Identification of basal immune predictors in humans could allow for identification of individuals at highest risk of severe clinical and virologic outcomes upon infection, who may thus most benefit from available clinical interventions to restrict infection and disease.SummaryWe used a screen of genetically diverse mice from the Collaborative Cross infected with mouse-adapted SARS-CoV in combination with comprehensive pre-infection immunophenotyping to identify baseline circulating immune correlates of severe virologic and clinical outcomes upon SARS-CoV infection.

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Vitamin D/CD46 Crosstalk in Human T Cells in Multiple Sclerosis

Frontiers in Immunology ◽

10.3389/fimmu.2020.598727 ◽

2020 ◽

Vol 11 ◽

Author(s):

Justin Killick ◽

Joanne Hay ◽

Elena Morandi ◽

Sonja Vermeren ◽

Saniya Kari ◽

...

Keyword(s):

Multiple Sclerosis ◽

Vitamin D ◽

T Cells ◽

T Cell ◽

Chronic Inflammatory Disease ◽

Vitamin D Supplementation ◽

Type I ◽

T Cell Migration ◽

The Impact

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system (CNS), in which T-cell migration into the CNS is key for pathogenesis. Patients with MS exhibit impaired regulatory T cell populations, and both Foxp3+ Tregs and type I regulatory T cells (Tr1) are dysfunctional. MS is a multifactorial disease and vitamin D deficiency is associated with disease. Herein, we examined the impact of 1,25(OH)2D3 on CD4+ T cells coactivated by either CD28 to induce polyclonal activation or by the complement regulator CD46 to promote Tr1 differentiation. Addition of 1,25(OH)2D3 led to a differential expression of adhesion molecules on CD28- and CD46-costimulated T cells isolated from both healthy donors or from patients with MS. 1,25(OH)2D3 favored Tr1 motility though a Vitamin D-CD46 crosstalk highlighted by increased VDR expression as well as increased CYP24A1 and miR-9 in CD46-costimulated T cells. Furthermore, analysis of CD46 expression on T cells from a cohort of patients with MS supplemented by vitamin D showed a negative correlation with the levels of circulating vitamin D. Moreover, t-Distributed Stochastic Neighbor Embedding (t-SNE) analysis allowed the visualization and identification of clusters increased by vitamin D supplementation, but not by placebo, that exhibited similar adhesion phenotype to what was observed in vitro. Overall, our data show a crosstalk between vitamin D and CD46 that allows a preferential effect of Vitamin D on Tr1 cells, providing novel key insights into the role of an important modifiable environmental factor in MS.

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131. The Protective Role of Mucosal Interferons in Infants with Respiratory Syncytial Virus (RSV) Infection

Open Forum Infectious Diseases ◽

10.1093/ofid/ofaa439.441 ◽

2020 ◽

Vol 7 (Supplement_1) ◽

pp. S195-S196

Author(s):

Jeanette Taveras ◽

Cristina Garcia-Maurino ◽

Melissa Moore-Clingenpeel ◽

Sara Mertz ◽

Mark E Peeples ◽

...

Keyword(s):

Disease Severity ◽

Severe Disease ◽

Panel Member ◽

Type I ◽

Research Support ◽

Review Panel ◽

Duration Of Symptoms ◽

Lower Odds ◽

Rsv Infection ◽

Ifn Γ

Abstract Background Despite the high burden associated with RSV infection in young children the factors that determine disease severity are not well understood. The objective of this study was to assess the association of mucosal cytokine profiles, RSV loads (VL) and RSV disease severity. Methods Single-center, prospective study in previously healthy infants with mild (outpatients; OP), moderate (inpatient-IP; ward) or severe (IP-PICU) RSV infection. Mid-turbinate swabs were obtained to measure VL by PCR, and cytokine concentrations (conc.) using a 13-plex panel that included type I (IFN-α2), II (IFN-γ), and III (IFN-λ2/λ3) interferons (IFN), and inflammatory cytokines. Multivariable analyses were performed to identify factors predictive of disease severity. Results From 2014 to 2019 we enrolled 219 infants: 78 with mild RSV infection (OP; median [IQR] age, 6 [3.4–10.5] mo.), 101 with moderate disease (3.5 [1.3–8.3] mo.), and 40 with severe disease (2.3 [1.5–5.7] mo.). Duration of symptoms at enrollment was 4 (3–5) days and comparable between OP and IP, yet RSV VL in OP were significantly higher than in IP (8.1 [7.4–8.6] vs 7.4 [6.4–8.1] log10 copies/mL; p< 0.01) with no differences between ward and PICU infants. Median conc. of IFN-α2, IFN-γ, and IFN-λ2/λ3 were significantly higher in OP vs IP irrespective of hospitalization unit (Table 1). IP-10 conc. were also higher in OP and in ward patients vs PICU patients (p< 0.0001) and were independently associated with lower odds of supplemental O2 needs (OR, 95% CI: 0.4 [0.22–0.69]; p< 0.01) and PICU admission (0.4 [0.23–0.67]; p=0.001). In addition, higher IFN-λ2/λ3 conc. were nearly associated with lower odds of prolonged O2 use (OR: 0.35 [0.11–1.07]; p=0.07), and prolonged hospitalization (OR: 0.42 [0.16–1.03]; p=0.06). Conclusion Infants with mild RSV infection had higher RSV VL and higher conc. of IP-10 and type-I, III IFN than those hospitalized with severe disease. These findings suggest that IP-10 and mucosal IFNs are associated with protection against severe RSV disease and could be used as biomarkers for patient stratification in the clinical setting. Disclosures Octavio Ramilo, MD, Bill & Melinda Gates Foundation (Grant/Research Support)Janssen (Grant/Research Support, Advisor or Review Panel member)Medimmune (Grant/Research Support)Merck (Advisor or Review Panel member)NIH/NIAID (Grant/Research Support)Pfizer (Consultant, Advisor or Review Panel member)Sanofi/Medimmune (Consultant, Advisor or Review Panel member) Asuncion Mejias, MD, PhD, MsCS, Janssen (Grant/Research Support, Advisor or Review Panel member)Merck (Advisor or Review Panel member)Roche (Advisor or Review Panel member)

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The COVID-19 Hospitalization Metric in the Pre- and Post-vaccination Eras as a Measure of Pandemic Severity: A Retrospective, Nationwide Cohort Study

10.21203/rs.3.rs-898254/v1 ◽

2021 ◽

Author(s):

Nathanael Fillmore ◽

Jennifer La ◽

Chunlei Zheng ◽

Shira Doron ◽

Nhan Do ◽

...

Keyword(s):

Disease Severity ◽

Severe Disease ◽

Supplemental Oxygen ◽

Case Definition ◽

Vaccination Status ◽

P Value ◽

Case Definitions ◽

Pandemic Severity ◽

Vaccine Availability ◽

The Impact

Abstract Importance: Since the early days of the pandemic, COVID-19 hospitalizations have been used as a measure of pandemic severity. However, case definitions do not include assessments of disease severity, which may be impacted by prior vaccination.Objective: To measure how the severity of respiratory disease changed among inpatients with documented SARS-CoV-2 infection and to measure the impact of vaccination status on these trends, in order to evaluate the accuracy of the metric of “hospitalization plus a positive SARS-CoV-2 test” for tracking pandemic severity.Design: Retrospective cohort of inpatients with laboratory-confirmed SARS-CoV-2. All data were obtained from electronic health records.Setting: Multi-center, nationwide study conducted in the healthcare system of the US Department of Veterans Affairs (VA) from March 1, 2020, through June 30, 2021.Participants: All VA patients admitted to a VA hospital with a laboratory-confirmed SARS-CoV-2 infection within the 14-days prior to admission or during the hospital admission.Main Outcome: Moderate-to-severe COVID-19 disease, defined by use of any supplemental oxygen or documented SpO2 <94%, during an inpatient hospitalization between one day before and two weeks after a positive SARS-CoV-2 test.Exposure: SARS-CoV-2 vaccination status at the time of hospitalization. Patients were regarded as fully vaccinated starting 14 days after receiving the second of a 2-dose regimen or 14 days after receipt of a single-dose vaccine.Results: Among 47,742 admissions in 38,508 unique patients with laboratory-confirmed SARS-CoV-2, N=28,731 met the criteria for moderate-to-severe COVID-19. The proportion with moderate-to-severe disease prior to widespread vaccine availability was 64.0% (95% CI, 63.1-64.9%) versus 52.0% in the later period (95% CI, 50.9-53.2%), p-value for non-constant effect, <0.001. Disease severity in the vaccine era among hospitalized patients was lower among both unvaccinated (55.0%, 95% CI, 53.7-56.4%) and vaccinated patients (42.6%, 95% CI, 40.6-44.8%).Conclusions and Relevance: The proportion of hospitalizations that are due to severe COVID-19 has changed with vaccine availability, thus, increasing proportions of mild and asymptomatic cases are included in hospitalization reporting metrics. The addition of simple measures of disease severity to the case definition of a SARS-CoV-2 hospitalization is a straightforward and objective change that should improve the value of the metric for tracking SARS-CoV-2 disease burden.

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Factors Associated with Hospitalization and Disease Severity in a Racially and Ethnically Diverse Population of COVID-19 Patients

10.1101/2020.06.25.20137323 ◽

2020 ◽

Cited By ~ 14

Author(s):

Angelico Mendy ◽

Senu Apewokin ◽

Anjanette A. Wells ◽

Ardythe L. Morrow

Keyword(s):

Vitamin D ◽

Vitamin D Deficiency ◽

Disease Severity ◽

Severe Disease ◽

Ethnically Diverse ◽

Chronic Obstructive ◽

Factors Associated ◽

Race Ethnicity ◽

The Impact ◽

Hispanic White

ABSTRACTBackgroundThe coronavirus disease (COVID-19) first identified in Wuhan in December 2019 became a pandemic within a few months of its discovery. The impact of COVID-19 is due to both its rapid spread and its severity, but the determinants of severity have not been fully delineated.ObjectiveIdentify factors associated with hospitalization and disease severity in a racially and ethnically diverse cohort of COVID-19 patients.MethodsWe analyzed data from COVID-19 patients diagnosed at the University of Cincinnati health system from March 13, 2020 to May 31, 2020. Severe COVID-19 was defined as admission to intensive care unit or death. Logistic regression modeling adjusted for covariates was used to identify the factors associated with hospitalization and severe COVID-19.ResultsAmong the 689 COVID-19 patients included in our study, 29.2% were non-Hispanic White, 25.5% were non-Hispanic Black, 32.5% were Hispanic, and 12.8% were of ‘Other’ race/ethnicity. About 31.3% of patients were hospitalized and 13.2% had severe disease. In adjusted analyses, the sociodemographic factors associated with hospitalization and/or disease severity included older age, non-Hispanic Black or Hispanic race/ethnicity (compared non-Hispanic White), and smoking. The following comorbidities: diabetes, hypercholesterolemia, asthma, chronic obstructive pulmonary disease (COPD), chronic kidney disease, cardiovascular diseases, osteoarthritis, and vitamin D deficiency, were associated with hospitalization and/or disease severity. Hematological disorders such as anemia, coagulation disorders, and thrombocytopenia were associated with higher odds of both hospitalization and disease severity.ConclusionThis study confirms race and ethnicity as predictors of severe COVID-19 and identifies clinical risk factors not previously reported such a vitamin D deficiency, hypercholesterolemia, osteoarthritis, and anemia.

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