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Ostrowski, M.

Publications and source records attributed to Ostrowski, M..

15 recordsLinked to original sources

HIV superinfection reveals sequential reservoir reactivation and immune-driven rebound dynamics

Superinfection, where a person with HIV acquires a second phylogenetically distinct strain, provides an opportunity to study reservoir evolutionary dynamics because the two strains can be tracked over time. We here characterize such a case that originally went undetected by clinical monitoring. The participant, who expressed the protective HLA-B*57:03 allele, initially controlled his subtype B infection but lost control after superinfection with a unique recombinant form (URF), which came to dominate in plasma without displacing the original B strain. Five years after initiating therapy, replication-competent proviruses from both strains persisted in blood, though URF proviruses dominated (80%). Despite their unequal reservoir representation, both strains rapidly rebounded upon treatment interruption, though most rebounding sequences belonged to a URF subclade that predated ART initiation. During the treatment interruption, genetically distinct viral lineages continually appeared in plasma, consistent with sequential "waves" of reactivation of diverse reservoir clones. Notably, immune escape variants emerged from the reservoir in a later "wave", displacing initial susceptible variants and underscoring the important role of immune responses in shaping rebound dynamics. Sequence analysis revealed that the URF transmitted/founder virus already harbored key HLA-B*57:03-associated escape mutations, likely explaining the loss of viral control after superinfection. Our results reveal that superinfection can remain undetected despite routine HIV clinical monitoring, that pre-adaptation of the superinfecting strain to host HLA can undermine immune control, that rebound virus can originate from reservoir clones predating ART initiation, and that immune responses can actively shape rebound dynamics by driving escape variant outgrowth during treatment interruption. IMPORTANCEThis case demonstrates that HIV superinfection can go undetected by routine clinical monitoring, underscoring the importance of assays that capture HIV diversity -- particularly those used to screen participants for cure trials. It also illustrates how pre-adaptation of a superinfecting strain to host HLA-restricted immune responses can evade existing immunity, with implications for understanding natural immune control, and underscoring the challenge of viral diversity for vaccine and immunotherapy design. The sequential emergence of genetically diverse HIV lineages during treatment interruption, including minority immune escape variants that emerged from the reservoir to displace the initial susceptible population, highlights the difficulty of predicting rebound virus composition and underscores the key role of immune responses in shaping rebound dynamics. Critically, escaped rebound variants can then reseed the reservoir, thereby enriching it in escaped forms, highlighting a specific vulnerability for cure approaches that harness natural immune responses to eliminate reservoir cells.

molecular biology↗

Diminished EBV-Specific Humoral Immunity is Associated with Neuropsychiatric Long COVID Development up to 12 Months Post-COVID-19 Symptom Onset

Infection with SARS-CoV-2 can lead to long COVID, a chronic multisystemic condition estimated to affect approximately 400 million people worldwide. Although underlying mechanisms remain elusive, aberrant ongoing inflammation driven by Epstein-Barr virus (EBV) reactivation and persistent SARS-CoV-2 viral reservoirs have been hypothesized. We compared cellular and humoral immune responses to SARS-CoV-2 and EBV between participants with neuropsychiatric long COVID and recovered individuals. Peripheral blood mononuclear cells (PBMCs) and sera were collected from 27 long COVID individuals with [≥]2 neuropsychiatric symptoms and 27 matched recovered participants at 3-6 months post-COVID-19 symptom onset (PSO). PBMCs were assessed for IFN-{gamma}, IL-2, TNF, and granzyme B T-cell responses against SARS-CoV-2, EBV, and human cytomegalovirus (HCMV). Sera were evaluated for neutralizing activity against live ancestral SARS-CoV-2 and EBV, and EBV reactivation was assessed by early antigen-diffuse IgG. We observed no significant differences in SARS-CoV-2-, EBV-, or HCMV-specific T-cell responses or live virus neutralization between long COVID and recovered groups at 3-6 months PSO. EBV reactivation was additionally only detected in one neuropsychiatric long COVID participant. However, reduced EBV neutralizing capacity at 3-6 months significantly associated with fatigue at 12 months PSO. Anti-EBV viral capsid antigen IgG levels were also significantly diminished in long COVID participants and similarly trended lower in those reporting fatigue at 12 months PSO. We therefore detected no differences in SARS-CoV-2- or EBV-specific T-cell responses or serological neutralizing capacity between neuropsychiatric long COVID and recovered participants; however, diminished EBV-specific humoral immunity may serve as a prognostic marker for neuropsychiatric long COVID development. IMPORTANCEWe performed a comprehensive analysis of cellular and humoral immune responses to SARS-CoV-2, Epstein-Barr virus, and human cytomegalovirus in individuals with neuropsychiatric long COVID, a subgroup that remains poorly characterized. Although no differences in virus-specific T-cell immunity were observed between long COVID and recovered individuals, diminished Epstein-Barr virus neutralization at 3-6 months was associated with persistent or relapsing fatigue at 12 months post-COVID-19 symptom onset. Anti-viral capsid antigen IgG antibody levels were also significantly lower in neuropsychiatric long COVID participants at 3-6 months and similarly trended lower in those reporting fatigue at 12 months post-symptom onset. Together, these findings suggest that impaired humoral immunity to Epstein-Barr virus may contribute to the development or persistence of neuropsychiatric long COVID and highlight a promising future direction for mechanistic studies.

immunology↗

Lipid-mediated GPR32 signaling reprograms macrophage metabolism to impair anti-tuberculous immunity

Mycobacterium tuberculosis, the causative agent of tuberculosis (TB), has evolved strategies to evade innate immunity and establish persistent infection. However, the mechanisms by which M. tuberculosis reprograms human macrophage metabolism remain incompletely defined. Tuberculous pleural effusion (TB-PE), a common extrapulmonary manifestation that frequently coexists with pulmonary TB, offers a unique, clinically relevant immunometabolic window into the TB microenvironment. Here, using patient-derived TB-PE samples, we demonstrate that this microenvironment induces a metabolic state in human macrophages that compromises their antimicrobial function. Lipidomic analysis identified an enrichment of the specialized pro-resolving mediator Resolvin D5 (RvD5), which signals through GPR32 to suppress macrophage microbicidal activity. The acellular fraction of TB-PE was sufficient to induce RvD5 secretion by monocytes, correlating with increased expression of RvD5 biosynthetic enzymes in pleural monocytes from TB patients. Mechanistically, RvD5-GPR32 signaling inhibited glycolysis without promoting oxidative phosphorylation, reducing HIF-1 activity and impairing intracellular M. tuberculosis control. HIF-1 stabilization restored antimicrobial function. These findings uncover the RvD5-GPR32-HIF-1 axis as a mechanism of metabolic immune suppression and a potential target for host-directed TB therapy. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/663524v3_ufig1.gif" ALT="Figure 1"> View larger version (68K): org.highwire.dtl.DTLVardef@64feceorg.highwire.dtl.DTLVardef@948ab0org.highwire.dtl.DTLVardef@1d387forg.highwire.dtl.DTLVardef@682f72_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

Machine Learning Reveals Distinct Immunogenic Signatures of Th1 Imprinting in ART-Treated Individuals with HIV Following Repeated SARS-CoV-2 Vaccination

The human immune system is intrinsically variable and remarkably diverse across a population. The immune response to antigens is driven by a complex interplay of time-dependent interdependencies across components of the immune system. After repeated vaccination, the humoral and cellular arms of the immune response display highly heterogeneous dynamics, further complicating the attribution of a phenotypic outcome to specific immune system components. We employ a random forest (RF) approach to classify informative differences in immunogenicity between older people living with HIV (PLWH) on ART and an age-matched control group who received up to five SARS-CoV-2 vaccinations over 104 weeks. RFs identify immunological variables of importance, interpreted as evidence for Th1 imprinting, and suggest novel distinguishing immune features, such as saliva-based antibody screening, as promising diagnostic features towards classifying responses (whereas serum IgG is not). Additionally, we implement supervised and unsupervised Machine Learning methods to produce physiologically accurate synthetic datasets that conform to the statistical distribution of the original immunological data, thus enabling further data-driven hypothesis testing and model validation. Our results highlight the effectiveness of RFs in utilizing informative immune feature interdependencies for classification tasks and suggests broad impacts of ML applications for personalized vaccination strategies among high-risk populations.

immunology↗

ATP-dependent remodeling of chromatin condensates uncovers distinct mesoscale effects of two remodelers

ATP-dependent chromatin remodeling enzymes mobilize nucleosomes, but how such mobilization affects chromatin condensation is unclear. Here, we investigate effects of two major remodelers, ACF and RSC using chromatin condensates and single-molecule footprinting. We find that both remodelers inhibit the formation of condensed chromatin. However, the remodelers have distinct effects on pre-formed chromatin condensates. ACF spaces nucleosomes without de-condensing the chromatin, explaining how ACF maintains nucleosome organization in transcriptionally repressed genomic regions. In contrast, RSC catalyzes ATP-dependent de-condensation of chromatin. Surprisingly, RSC also drives micron-scale movements of entire condensates. These newly uncovered activities of RSC explain its central role in transcriptional activation. The biological importance of remodelers may thus reflect both their effects on nucleosome mobilization and the corresponding consequences on chromatin dynamics at the mesoscale.

biochemistry↗

mRNA Vaccine-Induced SARS-CoV-2 Spike-Specific IFN-γ and IL-2 T-cell Responses are Predictive of Serological Neutralization and are Transiently Enhanced by Pre-Existing Cross-Reactive Immunity

The contributions of SARS-CoV-2-specific T-cells to vaccine efficacy and durability are unclear. We investigated the relationships between mRNA vaccine-induced spike-specific IFN-{gamma} and IL-2 T-cell responses, anti-spike/RBD IgG/IgA antibodies, and live virus neutralizing capacity in long-term-care-home staff doubly vaccinated with BNT162b2 or mRNA-1273. The impacts of pre-existing cross-reactive T-cell immunity to SARS-CoV-2 on cellular and humoral responses to vaccination were additionally assessed. Mathematical modelling of the kinetics of spike-specific IFN-{gamma} and IL-2 T-cell responses over 6-months post-second dose was bifurcated into recipients who exhibited gradual increases (54% and 42%, respectively) with doubling times of 173 days, or decreases (46% and 58%, respectively) with half-lives of 115 days. Differences in kinetics did not correlate with any clinical phenotypes, although increases were proposed to be due to subclinical viral exposures. Serological anti-spike/RBD IgG/IgA antibody levels had otherwise decayed in all participants with half-lives of 55, 53, 76, and 59 days, respectively. Spike-specific T-cell responses induced at 2-6 weeks correlated with live viral neutralization at 6-months post-second dose, especially in hybrid immune individuals. Participants with pre-existing cross-reactive T-cell immunity to SARS-CoV-2 exhibited greater spike-specific T-cell responses, reduced anti-RBD IgA antibody levels, and a trending increase in neutralization at 2-6 weeks post-second dose. Non-spike-specific T-cells predominantly targeted SARS-CoV-2 non-structural protein at 6-months post-second dose in cross-reactive participants. mRNA vaccination was lastly shown to induce off-target T-cell responses against unrelated antigens. In summary, vaccine-induced spike-specific T-cell immunity appeared to influence serological neutralizing capacity, with only a modest effect induced by pre-existing cross-reactivity. IMPORTANCEOur findings provide important insights on the potential contributions of mRNA vaccine-induced spike-specific T-cell responses to the durability of neutralizing antibody levels in both uninfected and hybrid immune recipients. Our study additionally sheds light on the precise impacts of pre-existing cross-reactive T-cell immunity to SARS-CoV-2 on the magnitude and kinetics of cellular and humoral responses to vaccination. This study should ultimately inform the development of novel pan-coronavirus vaccines and vaccine regimens that can maximize the durability and breadth of protection against both current and future human coronaviruses of concern.

immunology↗

Immunogenicity of COVID-19 vaccines and their effect on the HIV reservoir in older people with HIV

Older individuals and people with HIV (PWH) were prioritized for COVID-19 vaccination, yet comprehensive studies of the immunogenicity of these vaccines and their effects on HIV reservoirs are not available. We followed 68 PWH aged 55 and older and 23 age-matched HIV-negative individuals for 48 weeks from the first vaccine dose, after the total of three doses. All PWH were on antiretroviral therapy (cART) and had different immune status, including immune responders (IR), immune non-responders (INR), and PWH with low-level viremia (LLV). We measured total and neutralizing Ab responses to SARS-CoV-2 spike and RBD in sera, total anti-spike Abs in saliva, frequency of anti-RBD/NTD B cells, changes in frequency of anti-spike, HIV gag/nef-specific T cells, and HIV reservoirs in peripheral CD4+ T cells. The resulting datasets were used to create a mathematical model for within-host immunization. Various regimens of BNT162b2, mRNA-1273, and ChAdOx1 vaccines elicited equally strong anti-spike IgG responses in PWH and HIV- participants in serum and saliva at all timepoints. These responses had similar kinetics in both cohorts and peaked at 4 weeks post-booster (third dose), while half-lives of plasma IgG also dramatically increased post-booster in both groups. Salivary spike IgA responses were low, especially in INRs. PWH had diminished live virus neutralizing titers after two vaccine doses which were rescued after a booster. Anti-spike T cell immunity was enhanced in IRs even in comparison to HIV- participants, suggesting Th1 imprinting from HIV, while in INRs it was the lowest. Increased frequency of viral blips in PWH were seen post-vaccination, but vaccines did not affect the size of the intact HIV reservoir in CD4+ T cells in most PWH, except in LLVs. Thus, older PWH require three doses of COVID-19 vaccine to maximize neutralizing responses against SARS-CoV-2, although vaccines may increase HIV reservoirs in PWH with persistent viremia.

immunology↗

Chemo-sEVs release in cisplatin-resistance ovarian cancer cells are regulated by the lysosomal function

Ovarian cancer (OvCa) is an aggressive disease usually treated with cisplatin (CDDP)-based therapy. However, among the different types of cancers treated with CDDP, OvCa commonly develops chemoresistance to this treatment. The small extracellular vesicles (sEVs) play a central role in chemoresistance. In response to chemotherapy, resistant cells secrete sEVs named chemo-sEVs characterized by specific cargo landscape content involved in the transfer of chemoresistance to recipient cells. sEVs encompass a variety of vesicle types, including exosomes, and are formed as intraluminal vesicles (ILVs) within multivesicular endosomes (MVEs). MVEs follow at least two trafficking pathways regulated by RAB GTPase family members; 1) a secretory pathway where MVEs fuse with the plasma membrane (PM) for sEVs secretion, where RAB27A is the most studied; 2) a degradative pathway where MVEs fuse with lysosomes, an event controlled by RAB7. There is growing evidence suggesting that a loss of lysosomal function can increase sEVs secretion; however, whether sEVs secretion and the transfer of CDDP chemoresistance in OvCa is the result of a fine regulation between these two MVEs trafficking pathways is unknown. In this work, we study the status of these two pathways, between CDDP-sensitive (A2780) and CDDP-resistant (A2780cis) OvCa cells. We found A2780cis cells have an increased number of MVEs and ILVs structures, together with higher levels of ESCRTs machinery components and RAB27A, compared to A2780 cells. Moreover, CDDP promotes the secretion of chemo-sEVs in A2780cis cells. Interestingly, chemo-sEVs contain a high number of proteins related to DNA damage response. In addition, we determine A2780cis cells have a poor lysosomal function with reduced levels of RAB7. Surprisingly, silencing of RAB27A in A2780cis cells was found to be sufficient to restore lysosomal function and levels of RAB7 in A2780cis cells, switching into an A2780-like cellular phenotype. Next, we found rapamycin, a potent enhancer of lysosomal function, reduced the secretion of chemo-sEVs. Taken together, these results indicate that the secretion of chemo-sEVs in OvCa cells is determined by the balance between secretory MVEs and MVEs that are destined for lysosomal degradation. Thus, our results suggest that adjusting this balance between these two MVEs trafficking pathways could be a promising strategy for overcoming CDDP chemoresistance in OvCa. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=147 HEIGHT=200 SRC="FIGDIR/small/526974v1_ufig1.gif" ALT="Figure 1"> View larger version (51K): org.highwire.dtl.DTLVardef@167227corg.highwire.dtl.DTLVardef@91c6forg.highwire.dtl.DTLVardef@29e997org.highwire.dtl.DTLVardef@1a6bebe_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

Single molecule co-occupancy of RNA-binding proteins with an evolved RNA deaminase

RNA-protein interactions broadly regulate gene expression. To understand RNA regulation, it is critical to measure RNA-protein interactions in cells. Current approaches to measure RNA-protein interactions often rely on crosslinking and shortread RNA sequencing, which has considerably advanced the understanding of gene expression but also suffers from some limitations. We present REMORA (RNA Encoded Molecular Recording in Adenosines), a new strategy to measure RNA-binding events on single RNA molecules in cells. In REMORA, adenosine deamination serves as a molecular record of RNA-protein interactions that are identified by mutations by sequencing. We performed RNA-based directed evolution to identify an RNA deaminase variant with high activity on arbitrary adenosine residues in RNA. We show that this RNA deaminase has high activity, low local sequence or structure bias, low background, and is generally applicable to diverse RNA-binding proteins. By combining our improved A-to-I RNA deaminase with the C-to-U deaminase APOBEC1 and long-read RNA sequencing, our approach enables simultaneous recording of the locations two RNA binding proteins on single mRNA molecules. Orthogonal RNA molecular recording of two Pumilio family proteins, PUM1 and PUM2, reveals that PUM1 competes with PUM2 for some but not all Pumilio binding sites in cells, despite having the same in vitro binding preferences. Our work thus measures competition between RNA-binding proteins for RNA sites in cells, and our genetically encodable RNA deaminase enables single-molecule identification of RNA-protein interactions with cell type specificity.

molecular biology↗

Differential global distribution of marine picocyanobacteria gene clusters reveals distinct niche-related adaptive strategies

The ever-increasing number of available microbial genomes and metagenomes provide new opportunities to investigate the links between niche partitioning and genome evolution in the ocean, notably for the abundant and ubiquitous marine picocyanobacteria Prochlorococcus and Synechococcus. Here, by combining metagenome analyses of the Tara Oceans dataset with comparative genomics, including phyletic patterns and genomic context of individual genes from 256 reference genomes, we first showed that picocyanobacterial communities thriving in different niches possess distinct gene repertoires. We then managed to identify clusters of adjacent genes that display specific distribution patterns in the field (CAGs) and are thus potentially involved in the adaptation to particular environmental niches. Several CAGs are likely involved in the uptake or incorporation of complex organic forms of nutrients, such as guanidine, cyanate, cyanide, pyrimidine or phosphonates, which might be either directly used by cells, for e.g. the biosynthesis of proteins or DNA, or degraded into inorganic nitrogen and/or phosphorus forms. We also highlight the frequent presence of CAGs involved in polysaccharide capsule biosynthesis in Synechococcus populations thriving in both nitrogen- and phosphorus-depleted areas, which are absent in low-iron regions, suggesting that the complexes they encode may be too energy-consuming for picocyanobacteria thriving in these areas. In contrast, Prochlorococcus populations thriving in iron-depleted areas specifically possess an alternative respiratory terminal oxidase, potentially involved in the reduction of Fe(III) into Fe(II). Together, this study provides insights into how these key members of the phytoplankton community might behave in response to ongoing global change. Significance StatementPicocyanobacteria face various environmental conditions in the ocean and numerous studies have shown that genetically distinct ecotypes colonize different niches. Yet the functional basis of their adaptation remains poorly known, essentially due to the large number of genes of yet unknown function, many of which have little or no beneficial effect on fitness. Here, by combining comparative genomics and metagenomics approaches, we have identified not only single genes but also entire gene clusters, potentially involved in niche adaptation. Although being sometimes present in only one or a few sequenced strains, they occur in a large part of the population in specific ecological niches and thus constitute precious targets for elucidating the biochemical function of yet unknown niche-related genes.

microbiology↗

Rhometa: Population recombination rate estimation from metagenomic read datasets

Bacterial evolution is influenced by the exchange of genetic information between species through a process referred to as recombination. The rate of recombination is a useful measure for the adaptive capacity of a bacterial population. We introduce Rhometa (https://github.com/sid-krish/Rhometa), a new software package to determine recombination rates from shotgun sequencing reads of metagenomes.It extends the composite likelihood approach for population recombination rate estimation and enables the analysis of modern short-read datasets. We evaluated Rhometa over a broad range of sequencing depths and complexities, using simulated and real experimental short-read data aligned to external reference genomes. In simulated datasets, the deviation from the expected value decreased as the number of genomes increased and we show that 80 genomes are sufficient to reduce these variations below 30%. Testing on an S. pneumoniae transformation experiment dataset we show that Rhometa accurately estimate the expected levels of recombination in a real world dataset.

bioinformatics↗

Defining marine bacterioplankton community assembly rules by contrasting the importance of environmental determinants and biotic interactions

Bacterioplankton communities play major roles in governing marine productivity and biogeochemical cycling, yet what drives the relative influence of the types of deterministic ecological processes which result in diversity patterns remains unclear. Here we examine how differing deterministic processes (environmental factors and biotic interactions) drive temporal dynamics of bacterioplankton diversity at three different oceanographic time-series locations, spanning 15 degrees of latitude, which are each characterized by different environmental conditions and varying degrees of seasonality. Monthly surface samples, collected over a period of 5.5 years, were analyzed using 16S rRNA amplicon sequencing. The high and mid-latitude sites of Maria Island and Port Hacking were characterized by high and intermediate levels of environmental heterogeneity respectively, with both alpha (local) diversity (72 % and 24 % of total variation) and beta diversity (32 % and 30 %) patterns within bacterioplankton assemblages primarily explained by environmental determinants, including day length, ammonium, and mixed layer depth. In contrast, at North Stradbroke Island, a sub-tropical location where environmental conditions are less seasonally variable, interspecific interactions were of increased importance in structuring bacterioplankton diversity (alpha diversity: 33 %; beta diversity: 26 %) with environment only contributing 11 and 13 % to predicting diversity, respectively. Our results demonstrate that bacterioplankton diversity is the result of both deterministic environmental and biotic processes and that the importance of these different deterministic processes varies, potential in response to environmental heterogeneity. ImportanceMarine bacterioplankton drives important biological processes, including the cycling of key nutrients or fixing atmospheric carbon. Therefore, to predict future climate scenarios its critical to model these communities accurately. Processes that drive bacterioplankton diversity patterns in the oceans however remain unresolved, with most studies focusing on deterministic environmental drivers, ie temperature or available inorganic nutrients. Biotic deterministic processes including interactions among individuals are also important for structuring diversity patterns, however, this is rarely included to predict bacterioplankton communities. We develop an approach for determining the relative contribution of environmental and potential biotic interactions that structure marine bacterioplankton at three series at different latitudes. Environmental factors best predicted temporal trends in bacterioplankton diversity at the two high latitude time series, while biotic influence was most apparent at the low latitude time series. Our results suggest environmental heterogeneity is an important attribute driving the contribution of varying deterministic influence of bacterioplankton diversity.

ecology↗

Global phylogeography of marine Synechococcus in coastal areas reveals strikingly different communities than in the open ocean

Marine Synechococcus comprise a numerically and ecologically prominent phytoplankton group, playing a major role in both carbon cycling and trophic networks in all oceanic regions except in the polar oceans. Despite their high abundance in coastal areas, our knowledge of Synechococcus communities in these environments is based on only a few local studies. Here, we use the global metagenome dataset of the Ocean Sampling Day (June 21st 2014) to get a snapshot of the taxonomic composition of coastal Synechococcus communities worldwide, by recruitment on a reference database of 141 picocyanobacterial genomes, representative of the whole Prochlorococcus, Synechococcus and Cyanobium diversity. This allowed us to unravel drastic community shifts over small to medium scale gradients of environmental factors, in particular along European coasts. The combined analysis of the phylogeography of natural populations and the thermophysiological characterization of eight strains, representative of the four major Synechococcus lineages (clades I to IV), also brought novel insights about the differential niche partitioning of clades I and IV, which most often co-dominate the Synechococcus community in cold and temperate coastal areas. Altogether, this study tackles the main differences between open-ocean and coastal communities worldwide.

microbiology↗

Longitudinal Assessment of SARS-CoV-2 Specific T Cell Cytokine-Producing Responses for 1 Year Reveals Persistence of Multi-Cytokine Proliferative Responses, with Greater Immunity Associated with Disease Severity

Cellular-mediated immunity is critical for long-term protection against most viral infections, including coronaviruses. We studied 23 SARS-CoV-2-infected survivors over a one year post symptom onset (PSO) interval by ex vivo cytokine ELISpot assay. All subjects demonstrated SARS-CoV-2-specific IFN-{gamma}, IL-2, and Granzyme B (GzmB) T cell responses at presentation, with greater frequencies in severe disease. Cytokines, mainly produced by CD4+ T cells, targeted all structural proteins (Nucleocapsid, Membrane, Spike) except Envelope, with GzmB > IL-2 > IFN-{gamma}. Mathematical modeling predicted that: 1) cytokine responses peaked at 6 days for IFN-{gamma}, 36 days for IL-2, and 7 days for GzmB, 2) severe illness was associated with reduced IFN-{gamma} and GzmB, but increased IL-2 production rates, 3) males displayed greater production of IFN-{gamma}, whereas females produced more GzmB. Ex vivo responses declined over time with persistence of IL-2 in 86% and of IFN-{gamma} and GzmB in 70% of subjects at a median of 336 days PSO. The average half-life of SARS-CoV-2-specific cytokine-producing cells was modelled to be 139 days ([~]4.6 months). Potent T cell proliferative responses persisted throughout observation, were CD4 dominant, and were capable of producing all 3 cytokines. Several immunodominant CD4 and CD8 epitopes identified in this study were shared by seasonal coronaviruses or SARS-CoV-1 in the Nucleocapsid and Membrane regions. Both SARS-CoV-2-specific CD4+ and CD8+ T cell clones were able to kill target cells, though CD8 tended to be more potent. ImportanceOur findings highlight the relative importance of SARS-CoV-2-specific GzmB-producing T cell responses in SARS-CoV-2 control, shared CD4 and CD8 immunodominant epitopes in seasonal coronaviruses or SARS-CoV-1, and indicate robust persistence of T cell memory at least one year after infection. Our findings should inform future strategies to induce T cell vaccines against SARS-CoV-2 and other coronaviruses.

immunology↗

Host-derived lipids from tuberculous pleurisy impair macrophage microbicidal-associated metabolic activity

Mycobacterium tuberculosis (Mtb) regulates the macrophage metabolic state to thrive in the host. Yet, the responsible mechanisms remain elusive. Macrophage activation towards the microbicidal (M1) program depends on the HIF-1 -mediated metabolic shift from oxidative phosphorylation towards glycolysis. Here, we asked whether a tuberculosis (TB) microenvironment changes the M1 macrophage metabolic state. We exposed M1 macrophages to the acellular fraction of tuberculous pleural effusions (TB-PE), and found lower glycolytic activity, accompanied by elevated levels of oxidative phosphorylation and bacillary load, compared to controls. The host-derived lipid fraction of TB-PE drove these metabolic alterations. HIF-1 stabilization reverted the effect of TB-PE by restoring M1 metabolism. As a proof-of-concept, Mtb-infected mice with stabilized HIF-1 displayed lower bacillary loads and a pronounced M1-like metabolic profile in alveolar macrophages. Collectively, we demonstrate that host-derived lipids from a TB-associated microenvironment alter the M1 macrophage metabolic reprogramming by hampering HIF-1 functions, thereby impairing control of Mtb infection.

immunology↗