scholarly journals Identification of risk and protective human leukocyte antigens in COVID-19 using genotyping and structural modeling

Author(s):  
Yiran Shen ◽  
David Ostrov ◽  
Santosh Rananaware ◽  
Piyush K Jain ◽  
Cuong Nguyen

COVID-19 is caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2). The severity of COVID-19 is highly variable and related to known (e.g., age, obesity, immune deficiency) and unknown risk factors. Since innate and adaptive immune responses are elicited in COVID-19 patients, we genotyped 94 Florida patients with confirmed COVID-19 and 89 healthy controls. We identified an HLA gene, HLA-DPA1, in which specific alleles were associated with the risk of SARS-CoV-2 positivity and COVID-19 disease. HLA-DPA1*01:03 was associated with reduced incidence of SARS-CoV-2 positivity, whereas HLA-DPA1*03:01 was associated with increased risk of SARS-CoV-2 positivity. These data suggest a model in which COVID-19 severity is influenced by immunodominant peptides derived from SARS-CoV-2 preferentially presented by specific HLA-DP molecules to either protective (for asymptomatic COVID-19) or pathogenic T cells (in severe COVID-19). Although this study is limited to comparing SARS-CoV-2 positive and negative subjects, these data suggest that HLA typing of COVID-19 patients stratified for disease severity may be informative for identifying biomarkers and disease mechanisms in high-risk individuals

Metabolism ◽  
2021 ◽  
pp. 154795
Author(s):  
Anna W.M. Janssen ◽  
Rinke Stienstra ◽  
Martin Jaeger ◽  
Alain J. van Gool ◽  
Leo A.B. Joosten ◽  
...  

2011 ◽  
Vol 203 (11) ◽  
pp. 1546-1555 ◽  
Author(s):  
Inna G. Ovsyannikova ◽  
Robert A. Vierkant ◽  
V. Shane Pankratz ◽  
Robert M. Jacobson ◽  
Gregory A. Poland

2014 ◽  
Vol 89 (4) ◽  
pp. 2104-2111 ◽  
Author(s):  
Romel D. Mackelprang ◽  
Mary Carrington ◽  
Katherine K. Thomas ◽  
James P. Hughes ◽  
Jared M. Baeten ◽  
...  

ABSTRACTWe quantified the collective impact of source partner HIV-1 RNA levels, human leukocyte antigen (HLA) alleles, and innate responses through Toll-like receptor (TLR) alleles on the HIV-1 set point. Data came from HIV-1 seroconverters in African HIV-1 serodiscordant couple cohorts. Linear regression was used to determine associations with set point andR2to estimate variation explained by covariates. The strongest predictors of set point were HLA alleles (B*53:01, B*14:01, and B*27:03) and plasma HIV-1 levels of the transmitting partner, which explained 13% and 10% of variation in set point, respectively. HLA-A concordance between partners and TLR polymorphisms (TLR2rs3804100 andTLR7rs179012) also were associated with set point, explaining 6% and 5% of the variation, respectively. Overall, these factors and genital factors of the transmitter (i.e., male circumcision, bacterial vaginosis, and use of acyclovir) explained 46% of variation in set point. We found that both innate and adaptive immune responses, together with plasma HIV-1 levels of the transmitting partner, explain almost half of the variation in viral load set point.IMPORTANCEAfter HIV-1 infection, uncontrolled virus replication leads to a rapid increase in HIV-1 concentrations. Once host immune responses develop, however, HIV-1 levels reach a peak and subsequently decline until they reach a stable level that may persist for years. This stable HIV-1 set point represents an equilibrium between the virus and host responses and is predictive of later disease progression and transmission potential. Understanding how host and virus factors interact to determine HIV-1 set point may elucidate novel mechanisms or biological pathways for treating HIV-1 infection. We identified host and virus factors that predict HIV-1 set point in people who recently acquired HIV-1, finding that both innate and adaptive immune responses, along with factors that likely influence HIV-1 virulence and inoculum, explain ∼46% of the variation in HIV-1 set point.


2021 ◽  
Author(s):  
Fabienne Venet ◽  
Julien Textoris ◽  
Sophie Blein ◽  
Mary-Luz Rol ◽  
Maxime Bodinier ◽  
...  

AbstractBackground and Research QuestionThe host response plays a central role in the pathophysiology of sepsis and severe injuries. So far, no study has comprehensively described the overtime changes of the injury-induced immune profile in a large cohort of critically ill patients with different etiologies.Study Design and Methods353 septic, trauma and surgical patients and 175 healthy volunteers were prospectively included in the REAnimation Low Immune Status Marker (REALISM) study. Extensive immune profiling was performed by assessing cellular phenotypes and functions, protein and mRNA levels at days 1-2, 3-4 and 5-7 after inclusion using a panel of 30 standardized immune markers.ResultsUsing REALISM immunomonitoring panel, no specificity in the immune profile was observed between septic, trauma and surgical patients. This common injury-induced immune response was characterized by an initial adaptive (i.e. physiologic) response engaging all constituents of the immune system (pro- and anti-inflammatory cytokine release, innate and adaptive immune responses) but not associated with increased risk of secondary infections. In contrary, the persistence in a subgroup of patients of profound immune alterations at the end of the first week after admission was associated with increased risk of secondary infections independently of exposure to invasive devices. The combined monitoring of markers of pro/anti-inflammatory, innate and adaptive immune responses allowed a better enrichment of patients with risk of secondary infections in the selected population.InterpretationThese results illustrate the delayed development of a common maladaptive injury-acquired immunodeficiency in a subgroup of severely injured patients independently of initial etiologies. Critically ill patients’ immune status could be captured through the combined monitoring a common panel of complementary markers of pro/anti-inflammatory, innate and adaptive immune responses. Such immune monitoring panel will help clinicians to identify critically ill patients who could benefit from tailored immunoadjuvant therapies.Clinical Trial Registrationclinicaltrials.gov: NCT02638779Summary conflict of interest statementsJT, SB, VM and AP are employees of bioMérieux SA, an in vitro diagnostic company. FV, TR, YB, BD, OM, TG, CT and GM are employees of Hospices Civils de Lyon. JT, TR, SB, VM, AP, FV and GM work in a joint research unit, co funded by the Hospices Civils de Lyon and bioMérieux. JT, AP, GM and FV are co-inventors in patent applications covering the following markers: CX3CR1, CD127, IL10 and S100A9. LKT and CT are employees of and hold stock and shares in GlaxoSmithKline. LQU is an employee of Sanofi Pasteur. PC was employee of Sanofi, Inc. and declares no other competing interests.Funding informationThis study received funding from the Agence Nationale de la Recherche through a grant awarded to BIOASTER (Grant number #ANR-10-AIRT-03) and from bioMérieux, Sanofi and GSK.


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