Biology subjects

Du Plessis, N.

Publications and source records attributed to Du Plessis, N..

6 recordsLinked to original sources

bioRxiv2026

Spatial transcriptomics of pediatric tuberculosis lymph nodes reveals a conserved hypoxia_SPP1 niche

Pediatric tuberculosis (TB) often presents as primary disease involving the mediastinal lymph nodes; however, its granuloma microenvironment remains poorly characterized because these population patient tissues are rarely available for study. Here, we use spatial transcriptomics to profile 60 granulomas from four children aged 4 to 36 months. We identified nine recurrent transcriptional microenvironments shared across granulomas, despite their marked histological heterogeneity. One macrophage-rich microenvironment showed strong hypoxia-associated activity and secreted phosphoprotein 1 (SPP1) enrichment. This microenvironment was present in both non-necrotic and necrotic lesions and overlapped with a Mtb-persistence macrophage signature previously identified in murine TB lymph nodes. Pathway analysis revealed the enrichment of both antimicrobial and regulatory programs within this microenvironment, suggesting partial immune control rather than uniform inflammatory or suppressive activity in this region. SPP1 expression was associated with regions enriched for both M1- and M2-like macrophages, suggesting a macrophage program that extends beyond conventional polarization classifications and may be influenced by the local granuloma microenvironment. We further observed a similar spatial association between hypoxia-associated activity and SPP1 expression in an independent adult TB dataset (pooled Spearman {rho}=0.65) and validated this association at protein level by multiplex immunofluorescence in our pediatric TB granuloma sample. Overall, this study identified a hypoxia-associated SPP1-enriched microenvironment that may contribute to incomplete bacterial clearance and could provide a framework for evaluating host-directed strategies to enhance sterilizing immunity without exacerbating tissue damage.

immunology↗

bioRxiv2026

Lung Resident T Cells Across the Spectrum of TB Infection and Disease

Tuberculosis (TB) remains the leading infectious cause of death worldwide, yet immunological protection against Mycobacterium tuberculosis (Mtb) remain poorly understood. We performed integrated single-cell transcriptomics and functional T-cell cloning on paired bronchoalveolar lavage (BAL) and peripheral blood samples from those exposed to TB, using IGRA and PET-CT to study potentially protective responses across the spectrum of TB infection/disease. Recent Mtb exposure alone was sufficient to remodel the pulmonary T-cell compartment. Longitudinal follow-up demonstrated that all participants who progressed to active TB had baseline PET-CT abnormalities, showing that PET-CT scan can be used to find those at high risk of progression. Furthermore, those who were PET-positive, but did not progress to active TB provide a natural model for protection, and exhibited enrichment of pulmonary cytotoxic CD8-associated T cells, identifying a candidate protective immune program. TAR-seq identified a discrete population of clonally expanded Mtb-responsive T cells and enabled direct linkage of antigen-responsive TCRs to transcriptional state through T cell cloning. Functional T-cell cloning further established a framework connecting antigen specificity, TCR sequence, and pulmonary cell state. Together, these findings provide a comprehensive atlas of human pulmonary T-cell immunity across the spectrum of TB, identify pulmonary immune features associated with durable control of infection, and establish an integrated platform for defining protective T-cell responses to inform next-generation TB vaccine development.

immunology↗

bioRxiv2025

BCG Vaccination at Birth Shapes the TCR Usage and Functional Profile of MR1T Cells at 9 Weeks of Age

Tuberculosis (TB) is the leading infectious disease killer worldwide and children suffer disproportionately. The ongoing burden of disease, despite widespread vaccination with BCG, highlights the need for novel vaccines. MR1-restricted T (MR1T) cells recognize small molecules, including microbial-derived molecules, presented by the monomorphic MHC class 1- related molecule (MR1). They have both "innate" effector capacity, allowing them to quickly respond to pathogens including Mycobacterium tuberculosis (Mtb), while also having adaptive features (effector memory cell surface phenotype and selective TCR usage). Feasibility of an MR1T cell-based vaccination remains unexplored and critical to this is whether or not MR1T cells possess the capacity for immunological memory. To begin to address this question, peripheral blood mononuclear cells (PBMC) were collected at 9-weeks of age from healthy term- infants in South Africa, who had either received BCG vaccination at birth (n=10) or who had BCG vaccination delayed (n=10). MR1/5-OP-RU tetramer positive cells were sorted using flow cytometry and single-cell RNA and TCR-seq was performed. Ex-vivo MR1T cells from vaccinated infants demonstrated increased expression of type I interferon response genes consistent with a cytokine mediated response to BCG vaccination. Using the TCR clustering algorithm TCRdist3, similar TCRs were grouped together, revealing a cluster significantly enriched in BCG-vaccinated infants. This cluster exhibited elevated expression of pro- inflammatory and cytotoxic genes, consistent with a recall response to prior vaccination and evidence of possible recognition of Mtb. This work provides the first step in addressing if MR1T cells demonstrate immunological memory, however, further work is needed to understand if these clonal expansions persist and possess the capacity for antigenic recall.

immunology↗

bioRxiv2025

MDSC depletion during immunization with heat-killed Mycobacterium tuberculosis increases protection against BCG infection.

Tuberculosis (TB) is still one of the deadliest infectious diseases globally. Although i.d. BCG immunization offers limited protection, a vaccine based on Mycobacterium tuberculosis (Mtb) has yet to be approved. Our previous findings demonstrated that s.c. immunization with heat-killed Mtb significantly increased the number of monocytic myeloid-derived suppressor cells (M-MDSC) in mice. Therefore, we hypothesized that the defense against a subsequent BCG infection would be impaired in Mtb-immunized mice. Surprisingly, mice vaccinated with Mtb were protected against a BCG infection and showed elevated frequencies and activation of DC and mycobacteria-specific T cells despite high frequencies and suppressor activity of M-MDSC. Genetic ablation of CCR2+ monocytic cells or pharmacological intervention with all-trans retinoic acid (ATRA) reduced the frequency of Mtb-induced M-MDSC, enhanced frequencies, and activation of dendritic cells (DC) and CD4+ T cells, and resulted in decreased bacterial loads in the lung and spleen. These findings offer fresh perspectives on TB vaccination using heat-killed Mtb despite parallel unwanted vaccine-induced M-MDSC. M-MDSC depletion by ATRA further tips the balance towards immunity and should be considered an adjunct host-directed therapy with TB vaccines in humans.

immunology↗

bioRxiv2023

Agent-based model predicts that layered structure and 3D movement work synergistically to reduce bacterial load in 3D in vitro models of tuberculosis granuloma

Tuberculosis (TB) remains a global public health threat with increasing prevalence. Understanding the dynamics of host-pathogen interactions within TB granulomas will assist in identifying what leads to successful elimination of infection. In vitro TB models provide a controllable environment to study these granuloma dynamics. Previously we developed a biomimetic 3D spheroid granuloma model that controls bacteria better than a traditional monolayer culture counterpart. We used agent-based simulations to predict the mechanistic reason for this difference. Our calibrated simulations were able to predict heterogeneous bacterial dynamics that are consistent with experimental data. In one group of simulations, spheroids are found to have a higher macrophage activation than their traditional counterparts, leading to better bacterial control. This higher macrophage activation in the spheroids was not due to higher T cell activation, rather fewer activated T cells were able to activate more macrophages due to the proximity of these cells within the spheroid. In a second group of simulations, spheroids again have more macrophage activation but also more T cell activation, specifically CD8+ T cells. This higher level of CD8+ T cell activation is predicted to be due to the proximity of these cells to the cells that activate them. Multiple mechanisms of control were predicted. Virtual knockouts show one group has a CD4+ T cell dominant response, while the other has a mixed/CD8+ T cell dominant response. Lastly, we demonstrated that the initial structure and movement rules work synergistically to reduce bacterial load. These findings provide valuable insights into how the structural complexity of in vitro models impacts immune responses. Moreover, our study has implications for engineering more physiologically relevant in vitro models and advancing our understanding of TB pathogenesis and potential therapeutic interventions.

systems biology↗

bioRxiv2023

In silico agent-based modeling approach to characterize multiple in vitro tuberculosis infection models

In vitro models of Mycobacterium tuberculosis (Mtb) infection are a valuable tool to examine host-pathogen interactions and screen drugs. With the development of more complex in vitro models, there is a need for tools to help analyze and integrate data from these models. We introduce an agent-based model (ABM) representation of the interactions between immune cells and bacteria in an in vitro setting. This in silico model was used to independently simulate both traditional and spheroid cell culture models by changing the movement rules and initial spatial layout of the cells. These two setups were calibrated to published experimental data in a paired manner, by using the same parameters in both simulations. Within the calibrated set, heterogeneous outputs are seen for outputs of interest including bacterial count and T cell infiltration into the macrophage core of the spheroid. The simulations are also able to predict many outputs with high time resolution, including spatial structure. The structure of a single spheroid can be followed across the time course of the simulation, allowing the relationship between cell localization and immune activation to be explored. Uncertainty analyses are performed for both model setups using latin hypercube sampling and partial rank correlation coefficients to allow for easier comparison, which can provide insight into ideal use cases for the independent setups. Future model iterations can be guided by the limitations of the current model, specifically which parts of the output space were harder to reach. This ABM can be used to represent more in vitro Mtb infection models due to its flexible structure, providing a powerful analysis tool that can be used in tandem with experiments. Author SummaryTuberculosis is an infectious disease that causes over 1.4 million deaths every year. During infection, immune cells surround the bacteria forming structures called granulomas in the lungs. New laboratory models generate spheroids that aim to recreate these structures to help understand infection and find new ways to treat tuberculosis. Computational modeling is used to compare these newer spheroid models to traditional models, which dont recreate the structure of the cell clusters. After calibration to data from laboratory experiments to ensure that the computational model can represent both systems, the structures were characterized over time. The traditional and spheroid model were also compared by looking at how model inputs impact outputs, allowing users to figure out when one model should be used over the other. This computational tool can be used to help integrate data from different laboratory models, generate hypothesis to be tested in laboratory models, and predict pathways to be targeted by drugs.

systems biology↗