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Brunet-Ratnasingham, E.

Publications and source records attributed to Brunet-Ratnasingham, E..

6 recordsLinked to original sources

Widespread gene-environment interactions shape the immune response to SARS-CoV-2 infection in hospitalized COVID-19 patients

Genome-wide association studies performed in patients with coronavirus disease 2019 (COVID-19) have uncovered various loci significantly associated with susceptibility to SARS-CoV-2 infection and COVID-19 disease severity. However, the underlying cis-regulatory genetic factors that contribute to heterogeneity in the response to SARS-CoV-2 infection and their impact on clinical phenotypes remain enigmatic. Here, we used single-cell RNA-sequencing to quantify genetic contributions to cis-regulatory variation in 361,119 peripheral blood mononuclear cells across 63 COVID-19 patients during acute infection, 39 samples collected in the convalescent phase, and 106 healthy controls. Expression quantitative trait loci (eQTL) mapping across cell types within each disease state group revealed thousands of cis-associated variants, of which hundreds were detected exclusively in immune cells derived from acute COVID-19 patients. Patient-specific genetic effects dissipated as infection resolved, suggesting that distinct gene regulatory networks are at play in the active infection state. Further, 17.2% of tested loci demonstrated significant cell state interactions with genotype, with pathways related to interferon responses and oxidative phosphorylation showing pronounced cell state-dependent variation, predominantly in CD14+ monocytes. Overall, we estimate that 25.6% of tested genes exhibit gene-environment interaction effects, highlighting the importance of environmental modifiers in the transcriptional regulation of the immune response to SARS-CoV-2. Our findings underscore the importance of expanding the study of regulatory variation to relevant cell types and disease contexts and argue for the existence of extensive gene-environment effects among patients responding to an infection.

genomics↗

Using virtual patient cohorts to uncover immune response differences in cancer and immunosuppressed COVID-19 patients

The COVID-19 pandemic caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) resulted in millions of deaths globally. Adults with immunosuppression (e.g., solid organ transplant recipients) and those undergoing active cancer treatments experience worse infections and more severe COVID-19. It is difficult to conduct clinical studies in these populations, resulting in a restricted amount of data that can be used to relate mechanisms of immune dysfunction to COVID-19 outcomes in these vulnerable groups. To study immune dynamics after infection with SARS-CoV-2 and to investigate drivers of COVID-19 severity in individuals with cancer and immunosuppression, we adapted our mathematical model of the immune response during COVID-19 and generated virtual patient cohorts of cancer and immunosuppressed patients. The cohorts of plausible patients recapitulated available longitudinal clinical data collected from patients in Montreal, Canada area hospitals. Our model predicted that both cancer and immunosuppressed virtual patients with severe COVID-19 had decreased CD8+ T cells, elevated interleukin-6 concentrations, and delayed type I interferon peaks compared to those with mild COVID-19 outcomes. Additionally, our results suggest that cancer patients experience higher viral loads (however, with no direct relation with severity), likely because of decreased initial neutrophil counts (i.e., neutropenia), a frequent toxic side effect of anti-cancer therapy. Furthermore, severe cancer and immunosuppressed virtual patients suffered a high degree of tissue damage associated with elevated neutrophils. Lastly, parameter values associated with monocyte recruitment by infected cells were found to be elevated in severe cancer and immunosuppressed patients with respect to the COVID-19 reference group. Together, our study highlights that dysfunction in type I interferon and CD8+ T cells are key drivers of immune dysregulation in COVID-19, particularly in cancer patients and immunosuppressed individuals.

immunology↗

Gaining Biological Insights through Supervised Data Visualization

Dimensionality reduction-based data visualization is pivotal in comprehending complex biological data. The most common methods, such as PHATE, t-SNE, and UMAP, are unsupervised and therefore reflect the dominant structure in the data, which may be independent of expert-provided labels. Here we introduce a supervised data visualization method called RF-PHATE, which integrates expert knowledge for further exploration of the data. RF-PHATE leverages random forests to capture intricate featurelabel relationships. Extracting information from the forest, RF-PHATE generates low-dimensional visualizations that highlight relevant data relationships while disregarding extraneous features. This approach scales to large datasets and applies to classification and regression. We illustrate RF-PHATEs prowess through three case studies. In a multiple sclerosis study using longitudinal clinical and imaging data, RF-PHATE unveils a sub-group of patients with non-benign relapsingremitting Multiple Sclerosis, demonstrating its aptitude for time-series data. In the context of Raman spectral data, RF-PHATE effectively showcases the impact of antioxidants on diesel exhaust-exposed lung cells, highlighting its proficiency in noisy environments. Furthermore, RF-PHATE aligns established geometric structures with COVID-19 patient outcomes, enriching interpretability in a hierarchical manner. RF-PHATE bridges expert insights and visualizations, promising knowledge generation. Its adaptability, scalability, and noise tolerance underscore its potential for widespread adoption.

bioinformatics↗

Intra-host viral populations of SARS-CoV-2 in immunosuppressed patients with hematologic cancers

Throughout the SARS-CoV-2 pandemic, several variants of concern (VOC) have been identified, many of which share recurrent mutations in the spike proteins receptor binding domain (RBD). This region coincides with known epitopes and can therefore have an impact on immune escape. Protracted infections in immunosuppressed patients have been hypothesized to lead to an enrichment of such mutations and therefore drive evolution towards VOCs. Here, we show that immunosuppressed patients with hematologic cancers develop distinct populations with immune escape mutations throughout the course of their infection. Notably, by investigating the co-occurrence of substitutions on individual sequencing reads in the RBD, we found quasispecies harboring mutations that confer resistance to known monoclonal antibodies (mAbs) such as S:E484K and S:E484A. Furthermore, we provide the first evidence for a viral reservoir based on intra-host phylogenetics. Our results on viral reservoirs can shed light on protracted infections interspersed with periods where the virus is undetectable as well as an alternative explanation for some long-COVID cases. Our findings also highlight that protracted infections should be treated with combination therapies rather than by a single mAbs to clear pre-existing resistant mutations.

genomics↗

Immune checkpoint expression on HIV-specific CD4+ T cells and response to their blockade are dependent on lineage and function

BackgroundAntigen-specific T cell impairment is observed in chronic infections. CD4+ T cells are diverse in phenotype and function; how their different lineages are impacted by inhibitory immune checkpoints (IC) is unknown. MethodsWe examined IC expression and function in HIV-specific CD4+ T cells of viremic individuals prior to ART initiation and persons with spontaneous or therapy-induced viral suppression. We investigated IC patterns associated with exhaustion-related transcription factors and chemokine receptors using cytokine-independent activation-induced marker assays. We determined effector functions representative of TFH, TH1 and TH17/TH22 using ultra-sensitive RNA flow cytometric fluorescence in situ hybridization (FISH), and their response to IC blockade. FindingsThe dysfunction-related transcription factor TOX was elevated in HIV-specific CD4+ T cells of viremic patients, and its expression was associated with lineage differentiation. We observed a hierarchy of PD-1, TIGIT and CD200 expression associated with both infection status and effector profile. In vitro responsiveness to PD-L1 blockade varied with defined CD4+ T cell functions rather than IC expression levels: frequencies of cells with TH1- and TH17/TH22-, but not TFH-related functions, increased. Response to PD-L1 blockade was strongest in viremic participants and reduced after ART initiation. InterpretationOur data highlight a polarization-specific regulation of IC expression and differing sensitivities of antigen-specific Thelper subsets to PD-1-mediated inhibition. This heterogeneity may direct ICB efficacy on CD4+ T cells in HIV infection. FundingThis work was supported by the National Institutes of Health, the Canadian Institutes for Health Research, the Canada Foundation for Innovation and the Fonds de Recherche du Quebec-Sante. Research in ContextO_ST_ABSEvidence before this studyC_ST_ABSCombination antiretroviral therapy (ART) is highly effective in controlling HIV but requires life-long medication due to the latent viral reservoir, and does not restore suppressive immune responses. In particular, there is no generation of effective HIV-specific T cell responses, which are thought to play an important role in controlling HIV in the rare individuals who can spontaneously control the virus. Inhibitory immune checkpoints (IC) such as PD-1 contribute to T cell dysfunction and failure to control viral infections, including HIV, and IC blockade (ICB) represents a potential adjuvant to ART through restoration of T cell functions. While most studies have focused on CD8+ T cells, increasing evidence shows that the remarkable impact of ICB therapy in a subset of cancer patients is enhanced by functional CD4+ T cell help, which can be directly affected by ICB. While effective virus-specific CD4+ T cell responses are also thought to be important for immune control of HIV, these cells are highly heterogenous. How IC expression and function differs across CD4+ T cell lineages and the consequences of this diversity for IC blockade (ICB) strategies are still poorly understood. Added value of this studyTo compare various stages of immune dysfunction, we examined people living with HIV (PLWH) with different levels of viral control pre-ART (including elite controllers who spontaneously control virus) and followed a cohort longitudinally post-ART. We used a panel of assays to characterize HIV-specific CD4+ T cell subsets, including activation-induced marker (AIM) assays and flow cytometric detection of mRNAs coding for a wider variety of HIV-specific CD4+ T cell functions than what is detected by standard procedures. Our experiments indicate a hierarchy of IC (PD-1, TIGIT, CD200) expression on blood HIV-specific CD4+ T cells that depends not only on the persons infection status but also on expression of lineage differentiation markers and effector functions representative of CD4+ T cell subsets critical for antiviral responses (TFH, TH1 and TH17/TH22 cells). This hierarchy was also present in the putatively functional cells of elite controllers. We characterized the expression of the dysfunction-related transcription factor TOX, and saw that its association with the key IC PD-1 in the setting of viremia varied across CD4+ T cell polarizations. Response to blockade of the PD-1 pathway resulted in increased antiviral and mucosal-protective functions, but did not affect TFH-related functions. Response to ICB was most prominent in viremic patients, and subdued but not fully abrogated in the setting of viral suppression. Implications of all available evidenceThese results highlight a previously unrecognized impact of ICB on mucosal immunity-related CD4+ functions, which are known to be depleted upon HIV infection and not restored by ART, and strong links between IC expression patterns and HIV-specific CD4+ T cell differentiation. The impact of ICB on CD4+ T cells in HIV infection has primarily been studied in the context of viral reservoir reactivation, which are preferentially harbored in IC+ cells. Our work emphasizes the importance of considering the differentiation profile of the virus-specific CD4+ T cells in studies of ICB blockade, as it may direct ICB efficacy in HIV infection. This data may also have implications for CD4+ T cell help in other infectious and non-infectious chronic human diseases.

immunology↗

Longitudinal analysis of humoral immunity against SARS-CoV-2 Spike in convalescent individuals up to 8 months post-symptom onset

Functional and lasting immune responses to the novel coronavirus (SARS-CoV-2) are currently under intense investigation as antibody titers in plasma have been shown to decline during convalescence. Since the absence of antibodies does not equate to absence of immune memory, we sought to determine the presence of SARS-CoV-2-specific memory B cells in COVID-19 convalescent patients. In this study, we report on the evolution of the overall humoral immune responses on 101 blood samples obtained from 32 COVID-19 convalescent patients between 16 and 233 days post-symptom onset. Our observations indicate that anti-Spike and anti-RBD IgM in plasma decay rapidly, whereas the reduction of IgG is less prominent. Neutralizing activity in convalescent plasma declines rapidly compared to Fc-effector functions. Concomitantly, the frequencies of RBD-specific IgM+ B cells wane significantly when compared to RBD-specific IgG+ B cells, which increase over time, and the number of IgG+ memory B cells which remain stable thereafter for up to 8 months after symptoms onset. With the recent approval of highly effective vaccines for COVID-19, data on the persistence of immune responses are of central importance. Even though overall circulating SARS-CoV-2 Spike-specific antibodies contract over time during convalescence, we demonstrate that RBD-specific B cells increase and persist up to 8 months post symptom onset. We also observe modest increases in RBD-specific IgG+ memory B cells and importantly, detectable IgG and sustained Fc-effector activity in plasma over the 8-month period. Our results add to the current understanding of immune memory following SARS-CoV-2 infection, which is critical for the prevention of secondary infections, vaccine efficacy and herd immunity against COVID-19.

microbiology↗