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Mantrala, S.

Publications and source records attributed to Mantrala, S..

2 recordsLinked to original sources

Single-cell profiling of innate and adaptive immune dysregulation in Long COVID

The COVID-19 pandemic has infected more than 778 million people worldwide. Roughly 7% of these patients progress to Long COVID (LC), suffering from persistent symptoms and cognitive impairment well past the acute stage. As the mechanisms of LC remain elusive, we utilized single-cell profiling (SCP) on 156,478 peripheral blood mononuclear cells (PBMCs) from 20 LC patients and 18 recovered controls (RC) to characterize the disease-associated immune dysregulation. Comparative analysis of LC and RC profiles revealed cellular heterogeneity along with differential abundances across B, T, and myeloid cell compartments. The focused analysis on the B-cell compartment showed that naive B cells in the LC exhibit elevated IL4R expression and BCR signaling, indicative of sustained antigen exposure and aberrant chronic activation. Concurrently, monocytes adopted heightened interferon signaling and enhanced migratory states, culminating into impaired myeloid differentiation. Furthermore, the T-cell compartment exhibited a functional dichotomy, maintaining sustained quiescence in the central memory compartment while displaying chronic exhaustion within effector memory populations. This dysregulation of effector immunity extended to the NK compartment, where terminally differentiated cells exhibited increased cytotoxicity yet compromised regulatory function, potentially contributing to poor viral clearance. Cellular communication analysis further supports this NK cell dysfunction that is likely driven by galectin and prostaglandin signaling involving monocytes and B cells. We stratified LC patients into mild and severe groups based on symptom and cognitive severity, identifying a distinct immune signature where severe disease is linked to chronic AP-1-mediated inflammation in NK cells and CD14+ monocytes. In contrast, patients with mild symptoms retain functionally competent NK cells with significantly lower exhaustion and apoptosis scores. Collectively, these insights into persistent immune remodeling provide a crucial framework for future biomarker discovery and the development of targeted therapeutic strategies. Abstract (Short)COVID-19 has affected >778 million worldwide, with [~]7% developing Long COVID (LC), characterized by persistent symptoms and cognitive impairment. The mechanisms of LC remain elusive; we utilized single-cell profiling on 156,478 peripheral blood mononuclear cells from LC and recovered controls. Comparative analysis revealed cellular heterogeneity and differential abundance across multiple immune compartments. B-cells exhibited hallmarks of sustained antigen exposure and aberrant activation. Concurrently, monocytes adopted heightened interferon signaling, enhanced migratory states, and impaired differentiation. T-cells exhibited chronic exhaustion within the effector memory populations. Dysregulated effector immunity extended to NK, with increased expression of cytotoxic genes yet compromised regulatory function, potentially contributing to viral clearance. LC patients with severe symptoms showed enhanced AP-1-mediated inflammation in NK cells and CD14+ monocytes, whereas mild cases had fitter NK cells with significantly lower exhaustion and apoptosis. Collectively, these insights provide a framework for biomarker discovery and the development of targeted LC therapeutic strategies.

genomics↗

Spatial multi-omics of multiple myeloma uncovers niche-dependent pro-myeloma and immunosuppressive signaling in the bone marrow and extramedullary lesions

Multiple myeloma (MM) is a plasma cell malignancy shaped by dynamic interactions between MM cells and non-malignant cells in the immune microenvironment. To spatially profile the influence of cellular context on MM and immune cell expression, we developed a multimodal framework integrating 10x Genomics Visium HD, 10x Genomics Xenium, and clinically annotated single-cell RNA (scRNA-seq) sequencing datasets. Visium HD enabled unbiased, whole transcriptome, spatial discovery at 16 {micro}m resolution, Xenium provided orthogonal validation at single-cell resolution, and scRNA-seq extended findings by mapping spatial labels and leveraging the greater sequencing depth. We developed a custom framework for cell type annotation within Visium HD spatial bins. Our approach enabled identification of plasma cell-dense niches enriched for non-canonical Wnt signaling, associated with gene expression supporting cell adhesion mediated drug resistance, inferior progression-free survival, and extramedullary lesions. Immune cells within these neighborhoods exhibited suppressed transcriptional states, including increased inhibitory receptor expression such as LAG3. Utilizing the niche-driven transcriptional states in MM and immune cells, we were able to develop a 15-gene signature independently predictive of progression free survival (HR = 2.00, p < 0.0001). Collectively, this study demonstrates the potential of integrated spatial and single-cell transcriptomics to define niche-specific programs supporting MM progression.

cancer biology↗