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Your search keyword '"Ponzetta, Andrea"' showing total 3 results
Start Over Author "Ponzetta, Andrea" Topic sars-cov-2
3 results on '"Ponzetta, Andrea"'

1. COVID-19-specific metabolic imprint yields insights into multiorgan system perturbations.

Author

Cornillet M, Strunz B, Rooyackers O, Ponzetta A, Chen P, Muvva JR, Akber M, Buggert M, Chambers BJ, Dzidic M, Filipovic I, Gorin JB, Gredmark-Russ S, Hertwig L, Klingström J, Kokkinou E, Kvedaraite E, Lourda M, Mjösberg J, Maucourant C, Norrby-Teglund A, Parrot T, Perez-Potti A, Rivera-Ballesteros O, Sandberg JK, Sandberg JT, Sekine T, Svensson M, Varnaite R, Eriksson LI, Aleman S, Strålin K, Ljunggren HG, and Björkström NK

Subjects
Adolescent, Adult, Aged, COVID-19 complications, Case-Control Studies, Central Nervous System Diseases etiology, Central Nervous System Diseases immunology, Central Nervous System Diseases metabolism, Cohort Studies, Female, Humans, Male, Metabolomics, Middle Aged, Organ Specificity, Pandemics, Phenotype, Proteomics, Severity of Illness Index, Young Adult, COVID-19 immunology, COVID-19 metabolism, Metabolome immunology, SARS-CoV-2
Abstract

Corona disease 2019 (COVID-19) affects multiple organ systems. Recent studies have indicated perturbations in the circulating metabolome linked to COVID-19 severity. However, several questions pertain with respect to the metabolome in COVID-19. We performed an in-depth assessment of 1129 unique metabolites in 27 hospitalized COVID-19 patients and integrated results with large-scale proteomic and immunology data to capture multiorgan system perturbations. More than half of the detected metabolic alterations in COVID-19 were driven by patient-specific confounding factors ranging from comorbidities to xenobiotic substances. Systematically adjusting for this, a COVID-19-specific metabolic imprint was defined which, over time, underwent a switch in response to severe acute respiratory syndrome coronavirus-2 seroconversion. Integration of the COVID-19 metabolome with clinical, cellular, molecular, and immunological severity scales further revealed a network of metabolic trajectories aligned with multiple pathways for immune activation, and organ damage including neurological inflammation and damage. Altogether, this resource refines our understanding of the multiorgan system perturbations in severe COVID-19 patients., (© 2021 The Authors. European Journal of Immunology published by Wiley-VCH GmbH.)

Published
2022
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2. Major alterations in the mononuclear phagocyte landscape associated with COVID-19 severity.

Author

Kvedaraite E, Hertwig L, Sinha I, Ponzetta A, Hed Myrberg I, Lourda M, Dzidic M, Akber M, Klingström J, Folkesson E, Muvva JR, Chen P, Gredmark-Russ S, Brighenti S, Norrby-Teglund A, Eriksson LI, Rooyackers O, Aleman S, Strålin K, Ljunggren HG, Ginhoux F, Björkström NK, Henter JI, and Svensson M

Subjects
Adult, COVID-19 epidemiology, COVID-19 metabolism, COVID-19 virology, Cytokines immunology, Dendritic Cells immunology, Female, Humans, Interferons immunology, Male, Middle Aged, Monocytes immunology, Mononuclear Phagocyte System metabolism, Severity of Illness Index, Sweden, COVID-19 immunology, Mononuclear Phagocyte System immunology, SARS-CoV-2 immunology
Abstract

Dendritic cells (DCs) and monocytes are crucial mediators of innate and adaptive immune responses during viral infection, but misdirected responses by these cells may contribute to immunopathology. Here, we performed high-dimensional flow cytometry-analysis focusing on mononuclear phagocyte (MNP) lineages in SARS-CoV-2-infected patients with moderate and severe COVID-19. We provide a deep and comprehensive map of the MNP landscape in COVID-19. A redistribution of monocyte subsets toward intermediate monocytes and a general decrease in circulating DCs was observed in response to infection. Severe disease coincided with the appearance of monocytic myeloid-derived suppressor cell-like cells and a higher frequency of pre-DC2. Furthermore, phenotypic alterations in MNPs, and their late precursors, were cell-lineage-specific and associated either with the general response against SARS-CoV-2 or COVID-19 severity. This included an interferon-imprint in DC1s observed in all patients and a decreased expression of the coinhibitory molecule CD200R in pre-DCs, DC2s, and DC3 subsets of severely sick patients. Finally, unsupervised analysis revealed that the MNP profile, alone, pointed to a cluster of COVID-19 nonsurvivors. This study provides a reference for the MNP response to SARS-CoV-2 infection and unravels mononuclear phagocyte dysregulations associated with severe COVID-19., Competing Interests: The authors declare no competing interest., (Copyright © 2021 the Author(s). Published by PNAS.)

Published
2021
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3. High-dimensional profiling reveals phenotypic heterogeneity and disease-specific alterations of granulocytes in COVID-19

Author

Lourda, Magda, Dzidic, Majda, Hertwig, Laura, Bergsten, Helena, Palma Medina, Laura M., Sinha, Indranil, Kvedaraite, Egle, Chen, Puran, Muvva, Jagadeeswara R., Gorin, Jean-Baptiste, Cornillet, Martin, Emgård, Johanna, Moll, Kirsten, García, Marina, Maleki, Kimia T., Klingström, Jonas, Michaëlsson, Jakob, Flodström-Tullberg, Malin, Brighenti, Susanna, Buggert, Marcus, Mjösberg, Jenny, Malmberg, Karl-Johan, Sandberg, Johan K., Henter, Jan-Inge, Folkesson, Elin, Gredmark-Russ, Sara, Sönnerborg, Anders, Eriksson, Lars I., Rooyackers, Olav, Aleman, Soo, Strålin, Kristoffer, Ljunggren, Hans-Gustaf, Björkström, Niklas K., Svensson, Mattias, Ponzetta, Andrea, Norrby-Teglund, Anna, and Chambers, Benedict J.

Subjects
Organ Dysfunction Scores, SARS-CoV-2, COVID-19, Biological Sciences, viral immune responses, Models, Biological, Severity of Illness Index, high-dimensional flow cytometry, Immunity, Innate, Immunophenotyping, Leukocyte Count, Immunology and Inflammation, eosinophil and basophil activation, neutrophil heterogeneity, Humans, Lung, Granulocytes
Abstract

Significance Accumulating evidence shows that granulocytes are key modulators of the immune response to SARS-CoV-2 infection, and their dysregulation could significantly impact COVID-19 severity and patient recovery after virus clearance. In the present study, we identify selected immune traits in neutrophil, eosinophil, and basophil subsets associated with severity of COVID-19 and with peripheral protein profiles. Moreover, computational modeling indicates that the combined use of phenotypic data and laboratory measurements can effectively predict key clinical outcomes in COVID-19 patients. Finally, patient-matched longitudinal analysis shows phenotypic normalization of granulocyte subsets 4 mo after hospitalization. Overall, in this work, we extend the current understanding of the distinct contribution of granulocyte subsets to COVID-19 pathogenesis., Since the outset of the COVID-19 pandemic, increasing evidence suggests that the innate immune responses play an important role in the disease development. A dysregulated inflammatory state has been proposed as a key driver of clinical complications in COVID-19, with a potential detrimental role of granulocytes. However, a comprehensive phenotypic description of circulating granulocytes in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)−infected patients is lacking. In this study, we used high-dimensional flow cytometry for granulocyte immunophenotyping in peripheral blood collected from COVID-19 patients during acute and convalescent phases. Severe COVID-19 was associated with increased levels of both mature and immature neutrophils, and decreased counts of eosinophils and basophils. Distinct immunotypes were evident in COVID-19 patients, with altered expression of several receptors involved in activation, adhesion, and migration of granulocytes (e.g., CD62L, CD11a/b, CD69, CD63, CXCR4). Paired sampling revealed recovery and phenotypic restoration of the granulocytic signature in the convalescent phase. The identified granulocyte immunotypes correlated with distinct sets of soluble inflammatory markers, supporting pathophysiologic relevance. Furthermore, clinical features, including multiorgan dysfunction and respiratory function, could be predicted using combined laboratory measurements and immunophenotyping. This study provides a comprehensive granulocyte characterization in COVID-19 and reveals specific immunotypes with potential predictive value for key clinical features associated with COVID-19.

Published
2021

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