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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/63880

    Título
    Central Role for MCP-1/CCL2 in Injury-Induced Inflammation Revealed by In Vitro, In Silico, and Clinical Studies
    Autor
    Ziraldo, Cordelia
    Vodovotz, Yoram
    Namas, Rami A.
    Almahmoud, Khalid
    Tapias Molina, VictorAutoridad UVA Orcid
    Mi, Qi
    Barclay, Derek
    Jefferson, Bahiyyah S.
    Chen, Guoqiang
    Billiar, Timothy R.
    Zamora, Ruben
    Año del Documento
    2013
    Descripción
    Producción Científica
    Documento Fuente
    PLoS ONE, Diciembre 2013, vol. 8, n. 12, p. e79804
    Resumen
    The translation of in vitro findings to clinical outcomes is often elusive. Trauma/hemorrhagic shock (T/HS) results in hepatic hypoxia that drives inflammation. We hypothesize that in silico methods would help bridge in vitro hepatocyte data and clinical T/HS, in which the liver is a primary site of inflammation. Primary mouse hepatocytes were cultured under hypoxia (1% O2) or normoxia (21% O2) for 1-72 h, and both the cell supernatants and protein lysates were assayed for 18 inflammatory mediators by Luminex™ technology. Statistical analysis and data-driven modeling were employed to characterize the main components of the cellular response. Statistical analyses, hierarchical and k-means clustering, Principal Component Analysis, and Dynamic Network Analysis suggested MCP-1/CCL2 and IL-1α as central coordinators of hepatocyte-mediated inflammation in C57BL/6 mouse hepatocytes. Hepatocytes from MCP-1-null mice had altered dynamic inflammatory networks. Circulating MCP-1 levels segregated human T/HS survivors from non-survivors. Furthermore, T/HS survivors with elevated early levels of plasma MCP-1 post-injury had longer total lengths of stay, longer intensive care unit lengths of stay, and prolonged requirement for mechanical ventilation vs. those with low plasma MCP-1. This study identifies MCP-1 as a main driver of the response of hepatocytes in vitro and as a biomarker for clinical outcomes in T/HS, and suggests an experimental and computational framework for discovery of novel clinical biomarkers in inflammatory diseases.
    ISSN
    1932-6203
    Revisión por pares
    SI
    DOI
    10.1371/journal.pone.0079804
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/63880
    Tipo de versión
    info:eu-repo/semantics/draft
    Derechos
    openAccess
    Aparece en las colecciones
    • DEP06 - Artículos de revista [352]
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    Ziraldo et al 2013_PLoS One.pdf
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