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结合体内、体外和计算机模拟研究揭示了中年小鼠急性炎症反应的机制。

Combined in silico, in vivo, and in vitro studies shed insights into the acute inflammatory response in middle-aged mice.

机构信息

Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

出版信息

PLoS One. 2013 Jul 2;8(7):e67419. doi: 10.1371/journal.pone.0067419. Print 2013.

DOI:10.1371/journal.pone.0067419
PMID:23844008
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3699569/
Abstract

We combined in silico, in vivo, and in vitro studies to gain insights into age-dependent changes in acute inflammation in response to bacterial endotoxin (LPS). Time-course cytokine, chemokine, and NO2 (-/)NO3 (-) data from "middle-aged" (6-8 months old) C57BL/6 mice were used to re-parameterize a mechanistic mathematical model of acute inflammation originally calibrated for "young" (2-3 months old) mice. These studies suggested that macrophages from middle-aged mice are more susceptible to cell death, as well as producing higher levels of pro-inflammatory cytokines, vs. macrophages from young mice. In support of the in silico-derived hypotheses, resident peritoneal cells from endotoxemic middle-aged mice exhibited reduced viability and produced elevated levels of TNF-α, IL-6, IL-10, and KC/CXCL1 as compared to cells from young mice. Our studies demonstrate the utility of a combined in silico, in vivo, and in vitro approach to the study of acute inflammation in shock states, and suggest hypotheses with regard to the changes in the cytokine milieu that accompany aging.

摘要

我们将计算机模拟、体内和体外研究相结合,深入了解了细菌内毒素 (LPS) 引起的急性炎症随年龄变化的情况。从中年(6-8 个月大)C57BL/6 小鼠的时间进程细胞因子、趋化因子和 NO2 (-)/NO3 (-) 数据中,我们重新参数化了最初为“年轻”(2-3 个月大)小鼠校准的急性炎症的机制数学模型。这些研究表明,与年轻小鼠的巨噬细胞相比,中年小鼠的巨噬细胞更容易死亡,并产生更高水平的促炎细胞因子。为了支持计算机模拟得出的假设,与年轻小鼠的细胞相比,来自内毒素血症中年小鼠的驻留腹膜细胞的活力降低,并产生更高水平的 TNF-α、IL-6、IL-10 和 KC/CXCL1。我们的研究证明了结合计算机模拟、体内和体外方法研究休克状态下急性炎症的有效性,并提出了与衰老伴随的细胞因子环境变化相关的假设。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9b8/3699569/2b533ac65fc2/pone.0067419.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9b8/3699569/babc4367542a/pone.0067419.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9b8/3699569/4ceffa0bf1e1/pone.0067419.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9b8/3699569/6a63364ebef6/pone.0067419.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9b8/3699569/2b533ac65fc2/pone.0067419.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9b8/3699569/babc4367542a/pone.0067419.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9b8/3699569/4ceffa0bf1e1/pone.0067419.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9b8/3699569/6a63364ebef6/pone.0067419.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9b8/3699569/2b533ac65fc2/pone.0067419.g004.jpg

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