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Postmus, D.

Publications and source records attributed to Postmus, D..

10 recordsLinked to original sources

Synergistic latency reversal by the SMAC mimetic AZD5582 and iBET JQ1, combined with Nef ablation, facilitates immune-mediated elimination of latently HIV-1-infected T-cells

The shock-and-kill strategy can reactivate latent HIV-1 in vivo but has failed to meaningfully reduce the reactivatable reservoir, suggesting insufficient immunological visibility of infected cells. To investigate latency reversal agent (LRA)-specific shortcomings, we developed a novel HIV-1 latency model - Jurkat E6.1 subclonal T-cell lines, each harbouring a single, full-length, NL4.3-based provirus with a GFPOPT reporter in the Env V5 loop - and quantified HIV-1 reactivation, Env surface presentation across LRAs and synergistically acting combinations. Bryostatin-1 induced GBP5-mediated restriction of surface Env and resistance to apoptosis. Bryostatin-1/JQ1 synergised for HIV-1 reactivation and boosted levels of cell-surface Env, but failed to reduce resistance to apoptosis. AZD5582/JQ1 boosted cell-surface Env levels, without co-induction of GBP5, T-cell activation or apoptotic resistance. HIV-1 Nef antagonised cytotoxic killing of HIV-1-reactivating T-cells - its knockout, combined with AZD5582/JQ1, achieved the highest immune-mediated elimination of latently infected T-cells, representing a promising HIV cure approach.

microbiology↗

MPXV Infects Human PBMCs in a Type I Interferon-Sensitive Manner

MPOX virus (MPXV), formerly known as monkeypox virus, led to a rapidly evolving pandemic starting May 2022, with over 90,000 cases reported beyond the African continent. This pandemic outbreak was driven by the MPXV variant Clade IIb. In addition, Clade I viruses circulating in the Democratic Republic of Congo (DRC) are drawing increased attention as cases constantly rise and Clade Ib, first identified in 2023, is now co-circulating with Clade Ia and seems to exhibit enhanced human-to-human transmissibility. While most infected individuals display a self-limiting disease with singular pox-like lesions, some endure systemic viral spread leading to whole-body rash with risks for necrosis, organ loss, and death. Intra-host dissemination and cellular tropism of MPXV are largely unexplored in humans. To establish a potential susceptibility of circulating immune cells to MPXV, we exposed human PBMCs from healthy donors ex vivo to a currently circulating MPXV clade IIb virus isolate in absence and presence of IFN-2a. qPCR of DNA extracted from cell lysates, but less from supernatants, revealed increasing MPXV DNA quantities that peaked at five to six days post-exposure, suggesting susceptibility of PBMCs to infection. IFN-2a pretreatment markedly reduced the quantity of MPXV DNA, suggesting that infection is sensitive to type I IFNs. Plaque assays from supernatants showed that infection gave rise to de novo production of infectious MPXV. In virus-inclusive scRNA-sequencing, monocytes, cycling NK cells and regulatory CD4+ T-cells scored positive for viral RNA, suggesting that these are the MPXV-susceptible cell types within the human PBMC population. Analysis of differentially expressed genes displayed a pronounced downregulation of expression pathways driving innate immunity in MPXV-infected cells, a well-established feature of poxviral infection. Pretreatment of PBMCs with current antivirals Cidofovir and Tecovirimat resulted in reduced amounts of viral antigen production and of released infectivity, suggesting suitability of the human PBMC infection model as a platform for evaluation of current and future antivirals and justifying trials to investigate Cidofovir and Tecovirimat as drugs reducing intra-patient viral spread. Together, our data suggest that human PBMCs are productively infected by MPXV which is accompanied by significant modulation of the cellular milieu. Our results have the potential to illuminate aspects of intra-host propagation of MPXV that may involve a lymphohematogenous route for replication and/or intra-host dissemination.

immunology↗

Neural Network-Assisted Humanization of COVID-19 Hamster scRNAseq Data Reveals Matching Severity States in Human Disease

Translating findings from animal models to human disease is essential for dissecting disease mechanisms, developing and testing precise therapeutic strategies. The coronavirus disease 2019 (COVID-19) pandemic has highlighted this need, particularly for models showing disease severity-dependent immune responses. Single-cell transcriptomics (scRNAseq) is well poised to reveal similarities and differences between species at the molecular and cellular level with unprecedented resolution. However, computational methods enabling detailed matching are still scarce. Here, we provide a structured scRNAseq-based approach that we applied to scRNAseq from blood leukocytes originating from humans and hamsters affected with moderate or severe COVID-19. Integration of COVID-19 patient data with two hamster models that develop moderate (Syrian hamster, Mesocricetus auratus) or severe (Roborovski hamster, Phodopus roborovskii) disease revealed that most cellular states are shared across species. A neural network-based analysis using variational autoencoders quantified the overall transcriptomic similarity across species and severity levels, showing highest similarity between neutrophils of Roborovski hamsters and severe COVID-19 patients, while Syrian hamsters better matched patients with moderate disease, particularly in classical monocytes. We further used transcriptome-wide differential expression analysis to identify which disease stages and cell types display strongest transcriptional changes. Consistently, hamsters response to COVID-19 was most similar to humans in monocytes and neutrophils. Disease-linked pathways found in all species specifically related to interferon response or inhibition of viral replication. Analysis of candidate genes and signatures supported the results. Our structured neural network-supported workflow could be applied to other diseases, allowing better identification of suitable animal models with similar pathomechanisms across species. Key PointsO_LINeural networks can successfully match disease states between animal models and humans using single-cell data as shown for COVID-19 C_LIO_LIModerately diseased patients best matched Syrian hamster cells; severely diseased patients best matched Roborovski hamster neutrophils C_LI

immunology↗

Single-cell-resolved interspecies comparison identifies a shared inflammatory axis and a dominant neutrophil-endothelial program in severe COVID-19

Key issues for research of COVID-19 pathogenesis are the lack of biopsies from patients and of samples at the onset of infection. To overcome these hurdles, hamsters were shown to be useful models for studying this disease. Here, we further leveraged the model to molecularly survey the disease progression from time-resolved single-cell RNA-sequencing data collected from healthy and SARS-CoV-2-infected Syrian and Roborovski hamster lungs. We compared our data to human COVID-19 studies, including BALF, nasal swab, and post-mortem lung tissue, and identified a shared axis of inflammation dominated by macrophages, neutrophils, and endothelial cells, which we show to be transient in Syrian and terminal in Roborovski hamsters. Our data suggest that, following SARS-CoV-2 infection, commitment to a type 1 or type 3-biased immunity determines moderate versus severe COVID-19 outcomes, respectively. One-Sentence SummaryActivation of different immunological programs upon SARS-CoV-2 infection determines COVID-19 severity.

immunology↗

Pharmacological inhibition of bromodomain and extra-terminal proteins induces NRF-2-mediated inhibition of SARS-CoV-2 replication and is subject to viral antagonism

Inhibitors of bromodomain and extra-terminal proteins (iBETs), including JQ-1, have been suggested as potential therapeutics against SARS-CoV-2 infection. However, molecular mechanisms underlying JQ-1-induced antiviral activity and its susceptibility to viral antagonism remain incompletely understood. iBET treatment transiently inhibited infection by SARS-CoV-2 variants and SARS-CoV, but not MERS-CoV. Our functional assays confirmed JQ-1-mediated downregulation of ACE2 expression and multi-omics analysis uncovered induction of an antiviral NRF-2-mediated cytoprotective response as an additional antiviral component of JQ-1 treatment. Serial passaging of SARS-CoV-2 in the presence of JQ-1 resulted in predominance of ORF6-deficient variants. JQ-1 antiviral activity was transient in human bronchial airway epithelial cells (hBAECs) treated prior to infection and absent when administered therapeutically. We propose that JQ-1 exerts pleiotropic effects that collectively induce a transient antiviral state that is ultimately nullified by an established SARS-CoV-2 infection, raising questions on their clinical suitability in the context of COVID-19.

microbiology↗

Non-productive exposure of PBMCs to SARS-CoV-2 induces cell-intrinsic innate immunity responses

Cell-intrinsic responses mounted in vivo in PBMCs during mild and severe COVID-19 differ quantitatively and qualitatively. Whether they are triggered by signals emitted by productively infected cells of the respiratory tract or are, at least partially, resulting from physical interaction with virus particles, remains unclear. Here, we analyzed susceptibility and expression profiles of PBMCs from healthy donors upon ex vivo exposure to SARS-CoV and SARS-CoV-2. In line with the absence of detectable ACE2 receptor expression, human PBMCs were refractory to productive infection. Bulk and single cell RNA-sequencing revealed JAK/STAT-dependent induction of interferon-stimulated genes, but not pro-inflammatory cytokines. This SARS-CoV-2-specific response was most pronounced in monocytes. SARS-CoV-2-RNA-positive monocytes displayed a lower ISG signature as compared to bystander cells of the identical culture. This suggests a preferential invasion of cells with a low ISG base-line profile or delivery of a SARS-CoV-2-specific sensing antagonist upon efficient particle internalization. Together, non-productive physical interaction of PBMCs with SARS-CoV-2-but not SARS-CoV particles stimulates JAK/STAT-dependent, monocyte-accentuated innate immune responses that resemble those detected in vivo in patients with mild COVID-19.

immunology↗

In contrast to TH2-biased approaches, TH1 COVID-19 vaccines protect Syrian hamsters from severe disease in the absence of dexamethasone-treatable vaccine-associated enhanced respiratory pathology

Since December 2019, the novel human coronavirus SARS-CoV-2 has spread globally, causing millions of deaths. Unprecedented efforts have enabled development and authorization of a range of vaccines, which reduce transmission rates and confer protection against the associated disease COVID-19. These vaccines are conceptually diverse, including e.g. classical adjuvanted whole-inactivated virus, viral vectors, and mRNA vaccines. We have analysed two prototypic model vaccines, the strongly TH1-biased measles vaccine-derived candidate MeVvac2-SARS2-S(H) and a TH2-biased Alum-adjuvanted, non-stabilized Spike (S) protein side-by-side, for their ability to protect Syrian hamsters upon challenge with a low-passage SARS-CoV-2 patient isolate. As expected, the MeVvac2-SARS2-S(H) vaccine protected the hamsters safely from severe disease. In contrast, the protein vaccine induced vaccine-associated enhanced respiratory disease (VAERD) with massive infiltration of eosinophils into the lungs. Global RNA-Seq analysis of hamster lungs revealed reduced viral RNA and less host dysregulation in MeVvac2-SARS2-S(H) vaccinated animals, while S protein vaccination triggered enhanced host gene dysregulation compared to unvaccinated control animals. Of note, mRNAs encoding the major eosinophil attractant CCL-11, the TH2 response-driving cytokine IL-19, as well as TH2-cytokines IL-4, IL-5, and IL-13 were exclusively up-regulated in the lungs of S protein vaccinated animals, consistent with previously described VAERD induced by RSV vaccine candidates. IL-4, IL-5, and IL-13 were also up-regulated in S-specific splenocytes after protein vaccination. Using scRNA-Seq, T cells and innate lymphoid cells were identified as the source of these cytokines, while Ccl11 and Il19 mRNAs were expressed in lung macrophages displaying an activated phenotype. Interestingly, the amount of viral reads in this macrophage population correlated with the abundance of Fc-receptor reads. These findings suggest that VAERD is triggered by induction of TH2-type helper cells secreting IL-4, IL-5, and IL-13, together with stimulation of macrophage subsets dependent on non-neutralizing antibodies. Via this mechanism, uncontrolled eosinophil recruitment to the infected tissue occurs, a hallmark of VAERD immunopathogenesis. These effects could effectively be treated using dexamethasone and were not observed in animals vaccinated with MeVvac2-SARS2-S(H). Taken together, our data validate the potential of TH2-biased COVID-19 vaccines and identify the transcriptional mediators that underlie VAERD, but confirm safety of TH1-biased vaccine concepts such as vector-based or mRNA vaccines. Dexamethasone, which is already in use for treatment of severe COVID-19, may alleviate such VAERD, but in-depth scrutiny of any next-generation protein-based vaccine candidates is required, prior and after their regulatory approval.

immunology↗

Insights into standards of care: dexamethasone and antibodies against COVID-19 in hamster models

RationaleIn face of the ongoing SARS-CoV-2 pandemic, effective and well-understood treatment options are still scarce. While vaccines have proven instrumental in fighting SARS-CoV-2, their efficacy is challenged by vaccine hesitancy, novel variants and short-lasting immunity. Therefore, understanding and optimization of therapeutic options remains essential. ObjectivesWe aimed at generating a deeper understanding on how currently used drugs, specifically dexamethasone and anti-SARS-CoV-2 antibodies, affect SARS-CoV-2 infection and host responses. Possible synergistic effects of both substances are investigated to evaluate combinatorial treatments. MethodsBy using two COVID-19 hamster models, pulmonary immune responses were analyzed to characterize effects of treatment with either dexamethasone, anti-SARS-CoV-2 spike monoclonal antibody or a combination of both. scRNA sequencing was employed to reveal transcriptional response to treatment on a single cell level. Measurements and main resultsDexamethasone treatment resulted in similar or increased viral loads compared to controls. Anti-SARS-CoV-2 antibody treatment alone or combined with dexamethasone successfully reduced pulmonary viral burden. Dexamethasone exhibited strong anti-inflammatory effects and prevented fulminant disease in a severe COVID-19-like disease model. Combination therapy showed additive benefits with both anti-viral and anti-inflammatory potency. Bulk and single-cell transcriptomic analyses confirmed dampened inflammatory cell recruitment into lungs upon dexamethasone treatment and identified a candidate subpopulation of neutrophils specifically responsive to dexamethasone. ConclusionsOur analyses i) confirm the anti-inflammatory properties and indicate possible modes of action for dexamethasone, ii) validate anti-viral effects of anti-SARS-CoV-2 antibody treatment, and iii) reveal synergistic effects of a combination therapy and can thus inform more effective COVID-19 therapies.

molecular biology↗

Longitudinal omics in Syrian hamsters integrated with human data unravel complexity of moderate immune responses to SARS-CoV-2

In COVID-19, the immune response largely determines disease severity and is key to therapeutic strategies. Cellular mechanisms contributing to inflammatory lung injury and tissue repair in SARS-CoV-2 infection, particularly endothelial cell involvement, remain ill-defined. We performed detailed spatiotemporal analyses of cellular and molecular processes in SARS-CoV-2 infected Syrian hamsters. Comparison of hamster single-cell sequencing and proteomics with data sets from COVID-19 patients demonstrated inter-species concordance of cellular and molecular host-pathogen interactions. In depth vascular and pulmonary compartment analyses (i) supported the hypothesis that monocyte-derived macrophages dominate inflammation, (ii) revealed endothelial inflammation status and T-cell attraction, and (iii) showed that CD4+ and CD8+ cytotoxic T-cell responses precede viral elimination. Using the Syrian hamster model of self-limited moderate COVID-19, we defined the specific roles of endothelial and epithelial cells, among other myeloid and non-myeloid lung cell subtypes, for determining the disease course.

immunology↗

Single Cell RNA-Sequencing-based Analysis of CD4+ T-Cell Subset-Specific Susceptibility to Transcriptional Modulation by HIV-1 Latency-Reversing Agents

Shock-and-kill is one of the most advanced, yet unrealized, concepts towards establishment of HIV-1 cure. Treatment with latency-reversing agents (LRAs), including histone deacetylase inhibitors (HDACis) exerting chromatin remodelling and gene expression reprogramming, combined with anti-retroviral therapy reactivates HIV-1 transcription in vitro, ex vivo and in vivo. However, HDACi treatment fails to significantly reduce the size of the viral reservoir in people living with HIV-1 (PLHIV). Here, by combining scRNA-seq and functional approaches, we characterised the HDACi treatment-imposed remodulation of CD4+ T-cells state and its consequences for HIV-1 latency reversal and the apparent resistance of HIV-1-reactivating cells to immune-mediated elimination. Exposure of CD4+ T-cells from three aviremic PLHIV with clinically applicable concentrations of Panobinostat markedly reduced the expression of genes mediating T-cell activation and IFN-driven antiviral immunity in a largely CD4+ T-cell subset-nonspecific manner, with exception of an PLHIV-specific exhausted CD4+ T-cell subpopulation. Altered transcriptomic profiles were accompanied by large refractoriness to peptide and IL-2/PHA stimulation, and to exogenous type I interferon, that would otherwise induce T-cell activation and expression of a plethora of antiviral genes, respectively. Type I interferon, when added to Panobinostat during HIV-1 reactivation, was unable to counteract HDACi-mediated inhibition of IFN signalling and failed to interfere with HIV-1 reactivation per se. However, it imposed a pre-budding block and boosted surface levels of HIV-1 Env on reactivating cells. Co-treatment with type I IFNs, most prominently IFN-{beta} and -14, sensitised HIV-1-reactivating cells for killing by NK cells through antibody-dependent cytotoxicity. Together, our study provides proof-of-concept of the benefit of combining a potent LRA with immunostimulatory molecules, such as type I IFNs, to reduce the resistance of HIV-1-reactivating T-cells to immune-mediated elimination to improve current shock-and-kill strategies.

microbiology↗