Biology subjects

Vitali, A.

Publications and source records attributed to Vitali, A..

4 recordsLinked to original sources

bioRxiv2024

Insulin resistance compromises midbrain organoid neural activity and metabolic efficiency predisposing to Parkinsons disease pathology

Growing evidence indicates that Type 2 Diabetes (T2D) is associated with an increased risk of developing Parkinsons disease through shared disease mechanisms. Studies show that insulin resistance, which is the driving pathophysiological mechanism of T2D plays a major role in neurodegeneration by impairing neuronal functionality, metabolism, and survival. To investigate insulin resistance caused pathological changes in the human midbrain, which could predispose a healthy midbrain to PD development, we exposed iPSC-derived human midbrain organoids from healthy individuals to either high insulin concentrations, promoting insulin resistance, or to more physiological insulin concentrations restoring insulin signalling function. We combined experimental methods with metabolic modelling to identify the most insulin resistance-dependent pathogenic processes. We demonstrate that insulin resistance compromises organoid metabolic efficiency, leading to increased levels of oxidative stress. Additionally, insulin-resistant midbrain organoids showed decreased neural activity and reduced amount of dopaminergic neurons, highlighting insulin resistance as a significant target in PD prevention.

neuroscience↗

bioRxiv2024

Functional avidity of anti-B7H3 CAR-T constructs predicts antigen density thresholds for triggering effector function

Chimeric Antigen receptor T cell (CAR-T) treatments for solid cancers have been compromised by limited expansion and survival in the tumor microenvironment following interaction with antigen-expressing target cells. Using B7H3 as a model antigen with broad clinical applicability, we evaluated the relationship between the antibody/antigen affinity of three clinical candidate binders and the three following functional characteristics: functional avidity, prolonged cytotoxicity in tumoroid re-stimulation assays, and in vivo anti-tumoral responses. BEHAV3D video-microscopy assessed distinct CAR-T cell behaviors at single cell resolution. T cell exhaustion did not dictate effector function. Rather, we demonstrated a threshold avidity of CAR-T / tumor cell interaction, characterized by longer cumulative CD8+ CAR-T / tumor target interaction times, and required for adequate CAR-T cell expansion to result in sustained tumor control upon re-challenge. These results provide new insights into design of CAR-T cells for antigen-dim cell targeting, and avoidance of antigen-dim tumor relapse.

bioengineering↗

bioRxiv2024

Targeting MYCN upregulates L1CAM tumor antigen in MYCN-dysregulated neuroblastoma to increase CAR T cell efficacy

BackgroundCurrent treatment protocols have only limited success in pediatric patients with neuroblastomas harboring amplifications of the central oncogene, MYCN. Adoptive T cell therapy presents an innovative strategy to improve cure rates. However, L1CAM-targeting CAR T cells achieved only limited response against refractory/relapsed neuroblastoma in an ongoing phase I trial to date. Here, we investigate how oncogenic MYCN levels influence tumor cell response to CAR T cells, as one possible factor limiting success in trials. MethodsHigh MYCN levels were induced in SK-N-AS cells harboring the normal diploid MYCN complement using a tetracycline-inducible system. The inducible MYCN cell model or MYCN-amplified neuroblastoma cell lines were cocultured with L1CAM-CAR T cells. CAR T cell effector function was assessed via activation marker expression (flow cytometry), cytokine release and tumor cytotoxicity (biophotonic signal assessment). The cell model was characterized using RNA sequencing, and our data compared to publicly available RNA and proteomic data sets from neuroblastomas. ChIP-sequencing data was used to determine transcriptional L1CAM regulation by MYCN using public data sets. Synergism between CAR T cells and the MLN8237 AURKA inhibitor, which indirectly inhibits MYCN activity, was assessed in vitro using the Bliss model and in vivo in an immunocompromised mouse model. ResultsInducing high MYCN levels in the neuroblastoma cell model reduced L1CAM expression and, consequently, L1CAM-CAR T cell effector function (activation, cytokine release and cytotoxicity) in vitro. Primary neuroblastomas possessing high MYCN levels expressed lower levels of both the L1CAM transcript and L1CAM tumor antigen. Indirectly inhibiting MYCN via AURKA using MLN8237 treatment restored L1CAM expression on tumor cells in vitro and restored L1CAM-CAR T cell effector function. Combining MLN8237 and L1CAM-CAR T cell treatment synergistically increased neuroblastoma-directed killing in MYCN-overexpressing cells in vitro and in vivo concomitant with severe in vivo toxicity. ConclusionWe shed new light on a primary resistance mechanism in MYCN-driven neuroblastoma against L1CAM-CAR T cells via target antigen downregulation. These data suggest that combining L1CAM-CAR T cell therapy with pharmacological MYCN inhibition may benefit patients with high-risk neuroblastomas harboring MYCN amplifications.

immunology↗

bioRxiv2022

Invasive species modulate the structure and stability of a multilayer mutualistic network.

Species interactions are the backbone of the structure and dynamics of communities. The extensive research into the link between structure and stability has been primarily theoretical and focused on monotrophic networks. Therefore, how the disruption of multitrophic interactions alters communities response to perturbations in nature remains an open question. Here, we explored how non-native ungulates affect pollination-seed dispersal multilayer networks in Patagonia, Argentina. Ungulates disrupt a hummingbird-mistletoe-marsupial keystone interaction, which alters community composition. We calculated interlayer connectivity, modularity, and species roles in connecting modules for intact vs. invaded networks. To link structural changes to stability, we quantified network tolerance to a single random species removal (disturbance propagation) and sequential species removal (robustness) using a stochastic coextinction model. Non-native ungulates reduced the connectivity between pollination and seed dispersal and produced fewer modules with a skewed size distribution. Moreover, species shifted their structural role, primarily from connectors to peripherals, thereby fragmenting the network by reducing the "bridges" among modules. These structural changes altered the dynamics of cascading effects in the community, increasing disturbance propagation and reducing network robustness. Our results highlight the importance of understanding the mechanisms that alter the structure and subsequent stability of multitrophic communities in nature.

ecology↗