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1.
Int J Mol Sci ; 23(1)2021 Dec 23.
Article in English | MEDLINE | ID: covidwho-1855640

ABSTRACT

Macrophages are present in most human tissues and have very diverse functions. Activated macrophages are usually divided into two phenotypes, M1 macrophages and M2 macrophages, which are altered by various factors such as microorganisms, tissue microenvironment, and cytokine signals. Macrophage polarity is very important for infections, inflammatory diseases, and malignancies; its management can be key in the prevention and treatment of diseases. In this review, we assess the current state of knowledge on macrophage polarity and report on its prospects as a therapeutic target.


Subject(s)
Cell Polarity/physiology , Macrophages/pathology , Animals , Cytokines/metabolism , Disease , Humans , Macrophages/metabolism
3.
Oxid Med Cell Longev ; 2021: 8841911, 2021.
Article in English | MEDLINE | ID: covidwho-1156027

ABSTRACT

Despite the international scientific community's commitment to improve clinical knowledge about coronavirus disease 2019 (COVID-19), knowledge regarding molecular details remains limited. In this review, we discuss hypoxia's potential role in the pathogenesis of the maladaptive immune reaction against severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). The state of infection, with serious respiratory dysfunction, causes tissues to become hypoxic due to a discrepancy between cellular O2 uptake and consumption similar to that seen within tumor tissue during the progression of numerous solid cancers. In this context, the heterogeneous clinical behavior and the multiorgan deterioration of COVID-19 are discussed as a function of the upregulated expression of the hypoxia-inducible factor-1 (HIF-1) and of the metabolic reprogramming associated with HIF-1 and with a proinflammatory innate immune response activation, independent of the increase in the viral load of SARS-CoV-2. Possible pharmacological strategies targeting O2 aimed to improve prognosis are suggested.


Subject(s)
COVID-19/metabolism , COVID-19/pathology , Cell Polarity , Hypoxia-Inducible Factor 1/metabolism , Macrophages/metabolism , Microglia/metabolism , Warburg Effect, Oncologic , COVID-19/immunology , COVID-19/virology , Humans , SARS-CoV-2/physiology
4.
J Leukoc Biol ; 110(1): 9-20, 2021 07.
Article in English | MEDLINE | ID: covidwho-1037458

ABSTRACT

Excessive monocyte activation with the development of excessive or uncontrolled release of proinflammatory cytokines often results in host tissue injury and even death in patients with pneumonia caused by the 2019 novel coronavirus. However, the changes of cytokine profiles of coronavirus disease 2019 (COVID-19) patients, as well as the underlying mechanisms that are involved, remain unknown. Using a cytokine array containing 174 inflammation-related cytokines, we found significantly altered cytokine profiles in severe COVID-19 patients compared with those in mild patients or healthy controls, and identified leptin, CXCL-10, IL-6, IL-10, IL-12, and TNF-α as the top differentially expressed cytokines. Notably, leptin showed high consistency with CXCL-10 and TNF-α in predicting disease severity, and correlated with body mass index, decreased lymphocyte counts, and disease progression. Further analysis demonstrated that monocytes in severe patients with higher leptin levels were inclined toward M1 polarization. Mechanistic studies revealed that leptin synergistically up-regulated expression levels of inflammatory cytokines and surface markers with IL-6 in monocytes through STAT3 and NF-κB signaling pathways. Collectively, our results suggest that overweight COVID-19 patients were prone to have higher leptin levels, which further activated monocytes, resulting in amplified or dysregulated immune responses. Taken together, our findings argue that leptin correlates severity of COVID-19 and may indicate a possible mechanism by which overweight patients have a greater tendency to develop severe conditions.


Subject(s)
COVID-19/pathology , Leptin/metabolism , Monocytes/pathology , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19/blood , COVID-19/virology , Cell Polarity , Child , Cytokines/blood , Cytokines/metabolism , Disease Progression , Female , Humans , Inflammation Mediators/metabolism , Leptin/blood , Male , Middle Aged , NF-kappa B/metabolism , SARS-CoV-2/physiology , STAT3 Transcription Factor , Severity of Illness Index , Signal Transduction , Young Adult
5.
J Mol Biol ; 433(11): 166705, 2021 05 28.
Article in English | MEDLINE | ID: covidwho-917347

ABSTRACT

Most cells in multicellular organisms are somehow asymmetric, polarized: maintaining separate membrane domains. Typical examples are the epithelial cells (apical-basal polarization), neurons (dendritic-axonal domains), or migratory cells (with a leading and a trailing edge). Here we present the most comprehensive database containing experimentally verified mammalian proteins that display polarized sorting or secretion, focusing on epithelial polarity. In addition to the source cells or tissues, homology-based inferences and transmembrane topology (if applicable) are all provided. PolarProtDb also offers a detailed interface displaying all information that may be relevant for trafficking: including post-translational modifications (glycosylations and phosphorylations), known or predicted short linear motifs conserved across orthologs, as well as potential interaction partners. Data on polarized sorting has so far been scattered across myriads of publications, hence difficult to access. This information can help researchers in several areas, such as scanning for potential entry points of viral agents like COVID-19. PolarProtDb shall be a useful resource to design future experiments as well as for comparative analyses. The database is available at http://polarprotdb.enzim.hu.


Subject(s)
Databases, Factual , Epithelial Cells/cytology , Epithelial Cells/metabolism , Membrane Proteins/metabolism , COVID-19/metabolism , COVID-19/virology , Cell Movement/physiology , Cell Polarity/physiology , Genes , Glycosylation , Host Microbial Interactions , Humans , Phosphorylation , Protein Interaction Maps , Protein Transport , Proteome , SARS-CoV-2/metabolism
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