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Henrich, T. J.

Publications and source records attributed to Henrich, T. J..

9 recordsLinked to original sources

Persistently activated virus-specific CD8 T cells indicate antigen-driven immune aberrations in long COVID

Long COVID (LC) affects millions of people worldwide, yet its driving mechanisms remain incompletely defined and no treatment has been approved. Persistence of SARS-CoV-2 and reactivation of herpesviruses have been implicated in LC, but direct detection of these viral antigens in blood and tissues has been challenging. T cells are exquisitely sensitive to viral antigens, survey organs throughout the body, and can be readily sampled in peripheral blood. Using high-dimensional spectral flow cytometry and single-cell sequencing approaches with multiplexed peptide/HLA tetramers, we profiled virus-specific T cells from hundreds of people with LC and recovered controls. We identified a subset of people with LC that maintained elevated activation of CD8 T cells targeting SARS-CoV-2 spike and/or lytic antigens from Epstein-Barr virus, but not other viral specificities. Spike-specific cells in LC expressed genes linked to TCR stimulation, terminal effector differentiation, and exhaustion and demonstrated reduced functionality upon cognate peptide stimulation ex vivo. Thus, T cells from a subset of people with LC are likely chronically stimulated by persistent SARS-CoV-2 antigens. These findings establish the use of T cells as biosensors of persisting antigen in LC and other disease settings and may help develop new therapeutic strategies for LC.

immunology↗

Plasma Proteomic Profiling Identifies a Subset of HIV Elite Controllers with Inflammatory Profiles Resembling People Without HIV

Background: Elite controllers (ECs) are people with HIV (PWH) who suppress viral replication without antiretroviral therapy (ART). A subset, often termed exceptional elite controllers (EECs), harbor very small viral reservoirs, with few intact proviruses integrated into inactive chromosomal regions. Defining inflammatory signatures in ECs may clarify whether some approach a functionally cured state. Methods: We measured 384 plasma proteins in ART-naive ECs (n=62), ART-suppressed non-controllers (n=37), and people without HIV (PwoH) (n=50) using Olink proteomics, and compared proteomic profiles, clinical parameters, and intact reservoir data using FLIP-Seq. Hierarchical clustering identified ECs whose proteomic profiles most closely resembled PWoH; this subset was further analyzed using machine-learning approaches. Results: ART-suppressed non-controllers had higher inflammatory protein levels than ART-naive ECs, yet ECs still showed elevated inflammation and lower CD4:CD8 ratios compared with PWoH. Clustering analysis revealed a distinct subset of ECs (n=9) whose profiles closely matched those without HIV (ECs with PWoH-like proteomic profiles), a pattern not observed in ART-suppressed non-controllers. Compared to typical ECs, ECs with PWoH-like proteomic profiles had consistently lower IL-1{beta}, SCRN1, and BID, numerically lower intact proviral frequencies, and a high frequency of protective HLA alleles. Machine-learning analyses highlighted features that most strongly differentiated ECs with PWoH-like proteomic profiles from typical ECs, including reduced gut mucosal/intestinal epithelial-associated proteins, higher absolute CD4 counts, and lower levels of pro-inflammatory cytokines and cellular immune activation. Conclusions: These findings identify a subset of ECs with a PWoH-like inflammatory proteomic profile, accompanied by numerically lower intact HIV reservoirs and a high frequency of protective HLA alleles. Defining the mechanisms associated with this low-inflammatory state may provide insights into exceptional HIV control and inform strategies for durable HIV remission.

immunology↗

Multiomic and Spatial Profiling of Colorectal Tissue Reveals Viral Persistence and Immune Dysregulation in Long COVID

Long COVID (LC) - a chronic condition characterized by persistent, debilitating symptoms following SARS-CoV-2 infection - has emerged as a major public health challenge. Although many interrelated mechanisms have been proposed as drivers of LC, the root causes have yet to be identified, posing significant challenges for therapeutic development. While many blood-based studies have been conducted, they have not yielded conclusive mechanistic insights into LC pathogenesis. Attention has therefore turned toward direct tissue investigation, with the gastrointestinal (GI) tract becoming a major focus due to evidence that virus or viral components can persist at this site for months to years following an episode of COVID-19. Here, we performed a high-dimensional characterization of colorectal tissue and peripheral blood in a highly characterized cohort of 44 people with LC and 13 recovered controls. We profiled SARS-CoV-2 persistence, host immune responses, and tissue inflammation using bulk and single-cell RNA sequencing, nCounter RNA probe hybridization, quantitative PCR, metagenomic next-generation sequencing, plasma proteomics, high-dimensional spectral flow cytometry, in situ-hybridization/immunohistochemistry, and single-cell digital spatial omics. Our results support a model in which LC is driven by long-term immune dysregulation and perturbations of the regulatory gut immune environment which imply ongoing viral persistence, although direct viral detection was only observed in a subset of participants. Specifically, we identify a tissue-based transcriptional environment in which SARS-CoV-2 activates innate myeloid immune signaling, driving chronic inflammation while simultaneously downregulating pathways responsible for immune-mediated clearance of infected cells, including antigen presentation, phagocytosis, cytotoxic immune cell trafficking, and granzyme production. Importantly, signatures in peripheral blood are considerably weaker than those observed in tissue. Together, these findings provide a direct biological rationale for therapeutic strategies in LC aimed at enhancing or redirecting cytotoxic immune function to overcome immune dysregulation and clear persistent viral reservoirs.

immunology↗

Increased mannosylation of extracellular vesicles in Long COVID plasma provides a potential therapeutic target for Galanthus nivalis agglutinin (GNA) affinity resin

There is no proven therapy for Long COVID, a post-acute illness characterized by a myriad of diverse symptoms including fatigue, dyspnea, and brain fog following SARS-CoV-2 infection. Extracellular vesicles (EVs) have been implicated in Long COVID pathogenesis by promoting viral and inflammatory signaling with their molecular cargo. In this study, we investigated whether EV abundance and glycome characteristics are altered in plasma from people with Long COVID and whether they can be targeted for removal using a glycan-binding affinity resin. Large (100-500 nm) and small (40-200 nm) EVs were isolated from plasma of participants in the post-acute phase of COVID-19 and analyzed by nanoparticle flow cytometry to measure concentration and glycan characteristics. Plasma of those with Long COVID contained elevated levels of both large and small EVs, and mannose-positive large EVs were significantly increased in comparison to recovered controls (p < 0.05). EV capture assays using Galanthus nivalis agglutinin (GNA) affinity resin demonstrated small EV removal positively correlated with mannose-positive EV abundance (r = 0.341, p < 0.05). NanoString analyses identified seven EV-associated miRNAs significantly depleted by GNA affinity resin treatment of plasma. PROGENy pathway inference of validated miRNA-mRNA interactions suggests these reductions may lead to a downregulation of JAK-STAT signaling and upregulation of Estrogen, VEGF, and PI3K pathways, resulting in a favorable rebalancing of immune and tissue-repair networks. These findings reveal specific glycome EV-miRNA cargo signatures in Long COVID and the potential clinical benefits of a lectin capture therapeutic strategy to remove these pathogenic vesicles and their inflammatory cargo.

molecular biology↗

Inflammatory Monocytes Increase Prior to Detectable HIV-1 Rebound Viremia

The persistence of HIV-1 proviruses in latently infected cells allows viremia to resume upon treatment cessation. To characterize the resulting immune response, we compare plasma proteomics and single-cell transcriptomics of peripheral blood mononuclear cells (PBMCs) before, during, and after detectable plasma viremia. We observe unique transcriptional signatures prior to viral rebound including a significant increase in CD16++ monocytes with increased anti-viral gene expression. Inflammatory proteins were identified in plasma after detectable rebound. Identifying early signals of imminent viral rebound after treatment cessation will aid in the development of strategies to prolong time to viral rebound and cure HIV-1.

immunology↗

Long COVID manifests with T cell dysregulation, inflammation, and an uncoordinated adaptive immune response to SARS-CoV-2

Long COVID (LC), a type of post-acute sequelae of SARS-CoV-2 infection (PASC), occurs after at least 10% of SARS-CoV-2 infections, yet its etiology remains poorly understood. Here, we used multiple "omics" assays (CyTOF, RNAseq/scRNAseq, Olink) and serology to deeply characterize both global and SARS-CoV-2-specific immunity from blood of individuals with clear LC and non-LC clinical trajectories, 8 months following infection and prior to receipt of any SARS-CoV-2 vaccine. Our analysis focused on deep phenotyping of T cells, which play important roles in immunity against SARS-CoV-2 yet may also contribute to COVID-19 pathogenesis. Our findings demonstrate that individuals with LC exhibit systemic inflammation and immune dysregulation. This is evidenced by global differences in T cell subset distribution in ways that imply ongoing immune responses, as well as by sex-specific perturbations in cytolytic subsets. Individuals with LC harbored increased frequencies of CD4+ T cells poised to migrate to inflamed tissues, and exhausted SARS-CoV-2-specific CD8+ T cells. They also harbored significantly higher levels of SARS-CoV-2 antibodies, and in contrast to non-LC individuals, exhibited a mis-coordination between their SARS-CoV-2-specific T and B cell responses. RNAseq/scRNAseq and Olink analyses similarly revealed immune dysregulatory mechanisms, along with non-immune associated perturbations, in individuals with LC. Collectively, our data suggest that proper crosstalk between the humoral and cellular arms of adaptive immunity has broken down in LC, and that this, perhaps in the context of persistent virus, leads to the immune dysregulation, inflammation, and clinical symptoms associated with this debilitating condition.

immunology↗

Differences in expression of tumor suppressor, innate immune, inflammasome, and potassium/gap junction channel host genes significantly predict viral reservoir size during treated HIV infection

The major barrier to an HIV cure is the persistence of infected cells that evade host immune surveillance despite effective antiretroviral therapy (ART). Most prior host genetic HIV studies have focused on identifying DNA polymorphisms (e.g., CCR5{Delta}32, MHC class I alleles) associated with viral load among untreated "elite controllers" (~1% of HIV+ individuals who are able to control virus without ART). However, there have been few studies evaluating host genetic predictors of viral control for the majority of people living with HIV (PLWH) on ART. We performed host RNA sequencing and HIV reservoir quantification (total DNA, unspliced RNA, intact DNA) from peripheral CD4+ T cells from 191 HIV+ ART-suppressed non-controllers. Multivariate models included covariates for timing of ART initiation, nadir CD4+ count, age, sex, and ancestry. Lower HIV total DNA (an estimate of the total reservoir) was associated with upregulation of tumor suppressor genes NBL1 (q=0.012) and P3H3 (q=0.012). Higher HIV unspliced RNA (an estimate of residual HIV transcription) was associated with downregulation of several host genes involving inflammasome (IL1A, CSF3, TNFAIP5, TNFAIP6, TNFAIP9, CXCL3, CXCL10) and innate immune (TLR7) signaling, as well as novel associations with potassium (KCNJ2) and gap junction (GJB2) channels, all q<0.05. Gene set enrichment analyses identified significant associations with TLR4/microbial translocation (q=0.006), IL-1{beta}/NRLP3 inflammasome (q=0.008), and IL-10 (q=0.037) signaling. HIV intact DNA (an estimate of the "replication-competent" reservoir) demonstrated trends with thrombin degradation (PLGLB1) and glucose metabolism (AGL) genes, but data were (HIV intact DNA detected in only 42% of participants). Our findings demonstrate that among treated PLWH, that inflammation, innate immune responses, bacterial translocation, and tumor suppression/cell proliferation host signaling play a key role in the maintenance of the HIV reservoir during ART. Further data are needed to validate these findings, including functional genomic studies, and expanded epidemiologic studies in female, non-European cohorts. Author SummaryAlthough lifelong HIV antiretroviral therapy (ART) suppresses virus, the major barrier to an HIV cure is the persistence of infected cells that evade host immune surveillance despite effective ART, "the HIV reservoir." HIV eradication strategies have focused on eliminating residual virus to allow for HIV remission, but HIV cure trials to date have thus far failed to show a clinically meaningful reduction in the HIV reservoir. There is an urgent need for a better understanding of the host-viral dynamics during ART suppression to identify potential novel therapeutic targets for HIV cure. This is the first epidemiologic host gene expression study to demonstrate a significant link between HIV reservoir size and several well-known immunologic pathways (e.g., IL-1{beta}, TLR7, TNF- signaling pathways), as well as novel associations with potassium and gap junction channels (Kir2.1, connexin 26). Further data are needed to validate these findings, including functional genomic studies and expanded epidemiologic studies in female, non-European cohorts.

genetics↗

Markers of Fungal Translocation Are Elevated During Post-Acute Sequelae of SARS-CoV-2 Infection and Induce NF-κB Triggered Inflammation.

Long COVID, a type of Post-Acute Sequelae of SARS CoV-2 infection (PASC), has been associated with sustained elevated levels of immune activation and inflammation. However, the pathophysiological mechanisms that drive this inflammation remain unknown. Inflammation during acute Coronavirus Disease 2019 (COVID-19) could be exacerbated by microbial translocation (from the gut and/or lung) to the blood. Whether microbial translocation contributes to inflammation during PASC is unknown. We found higher levels of fungal translocation - measured as {beta}-glucan, a fungal cell wall polysaccharide - in the plasma of individuals experiencing PASC compared to those without PASC or SARS-CoV-2 negative controls. The higher {beta}-glucan correlated with higher levels of markers of inflammation and elevated levels of host metabolites involved in activating N-Methyl-D-aspartate receptors (such as metabolites within the tryptophan catabolism pathway) with established neuro-toxic properties. Mechanistically, {beta}-glucan can directly induce inflammation by binding to myeloid cells (via the Dectin-1 receptor) and activating Syk/NF-{kappa}B signaling. Using an in vitro Dectin-1/NF-{kappa}B reporter model, we found that plasma from individuals experiencing PASC induced higher NF-{kappa}B signaling compared to plasma from SARS-CoV-2 negative controls. This higher NF-{kappa}B signaling was abrogated by the Syk inhibitor Piceatannol. These data suggest a potential targetable mechanism linking fungal translocation and inflammation during PASC.

microbiology↗

HIV-1 co-receptor usage and variable loop contact impacts V3 loop bnAb susceptibility

In clinical trials, HIV-1 broadly neutralizing antibodies (bnAbs) effectively lower plasma viremia and delay virus reemergence after antiretroviral treatment is stopped among infected individuals that have undetectable virus levels. Presence of less neutralization susceptible strains prior to treatment, however, decreases the efficacy of these antibody-based treatments. The HIV-1 envelope glycoprotein harbors extensive genetic variation, and thus, neutralization sensitivity often cannot be predicted by sequence analysis alone. Sequence-based prediction methods are needed because phenotypic-based assays are labor intensive and not sensitive. Based on the finding that phenotypically confirmed CXCR4- as compared to exclusive CCR5-utilizing strains are less neutralization sensitive, especially to variable loop 1 and 2 (V1-V2) and V3 loop bnAbs, we show that an algorithm that predicts receptor usage identifies envelopes with decreased V3 loop bnAb susceptibility. Homology modeling suggests that the primary V3 loop bnAb epitope is equally accessible among CCR5- and CXCR4-using strains although variants that exclusively use CXCR4 have V3 loop protrusions that interfere with CCR5 receptor interactions. On the other hand, homology modeling also shows that envelope V1 loop orientation interferes with V3 loop directed bnAb binding, and this accounts for decreased neutralization sensitivity in some but not all cases. Thus, there are likely different structural reasons for the co-receptor usage restriction and the differential bnAb susceptibility. Algorithms that use sequence data to predict receptor usage and antibody-envelope homology models can be used to identify variants with decreased sensitivity to V3 loop and potentially other bnAbs.\n\nAUTHOR SUMMARYHIV-1 broadly neutralizing antibody (bnAb) therapies are effective, but the pre-existence of less susceptible variants may lead to therapeutic failure. Sequence-based methods are needed to predict pre-treatment variants neutralization sensitivity. HIV-1 strains that use the CXCR4 as compared to the CCR5 receptor are less neutralization susceptible, especially to V1-V2 and V3 loop bnAbs. A sequence-based algorithm that predicts receptor usage can identify envelope variants with decreased V3 loop bnAb susceptibility. While the inability to utilize the CCR5 receptor maps to a predicted protrusion in the envelope V3 loop, this viral determinant does not directly influence V3 loop bnAb sensitivity. Furthermore, homology modeling predicted contact between the envelope V1 loop and an antibody also impact V3 loop bnAb susceptibility in some but not all cases. An algorithm that predicts receptor usage and homology modeling can be used to predict sensitivity to bnAbs that target the V3 loop and potentially other envelope domains. These sequence-based methods will be useful as HIV-1 bnAbs enter the clinical arena.

microbiology↗