Prince Nicole, Penatzer Julia A, Dietz Matthew J, Boyd Jonathan W
C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV 26506, USA.
Department of Orthopaedics, School of Medicine, West Virginia University, Morgantown, WV 26506, USA.
Biology (Basel). 2020 Jul 16;9(7):167. doi: 10.3390/biology9070167.
The early cellular response to infection has been investigated extensively, generating valuable information regarding the mediators of acute infection response. Various cytokines have been highlighted for their critical roles, and the actions of these cytokines are related to intracellular phosphorylation changes to promote infection resolution. However, the development of chronic infections has not been thoroughly investigated. While it is known that wound healing processes are disrupted, the interactions of cytokines and phosphoproteins that contribute to this dysregulation are not well understood. To investigate these relationships, this study used a network centrality approach to assess the impact of individual cytokines and phosphoproteins during chronic inflammation and infection. Tissues were taken from patients undergoing total knee arthroplasty (TKA) and total knee revision (TKR) procedures across two tissue depths to understand which proteins are contributing most to the dysregulation observed at the joint. Notably, p-c-Jun, p-CREB, p-BAD, IL-10, IL-12p70, IL-13, and IFN-γ contributed highly to the network of proteins involved in aseptic inflammation caused by implants. Similarly, p-PTEN, IL-4, IL-10, IL-13, IFN-γ, and TNF-α appear to be central to signaling disruptions observed in septic joints. Ultimately, the network centrality approach provided insight into the altered tissue responses observed in chronic inflammation and infection.
对感染的早期细胞反应已进行了广泛研究,产生了有关急性感染反应介质的有价值信息。各种细胞因子因其关键作用而受到关注,这些细胞因子的作用与细胞内磷酸化变化相关,以促进感染的消退。然而,慢性感染的发展尚未得到充分研究。虽然已知伤口愈合过程受到干扰,但导致这种失调的细胞因子和磷酸化蛋白之间的相互作用尚不清楚。为了研究这些关系,本研究采用网络中心性方法来评估慢性炎症和感染期间单个细胞因子和磷酸化蛋白的影响。从接受全膝关节置换术(TKA)和全膝关节翻修术(TKR)的患者身上获取两个组织深度的组织,以了解哪些蛋白质对关节处观察到的失调贡献最大。值得注意的是,p-c-Jun、p-CREB、p-BAD、IL-10、IL-12p70、IL-13和IFN-γ对植入物引起的无菌性炎症相关蛋白质网络贡献很大。同样,p-PTEN、IL-4、IL-10、IL-13、IFN-γ和TNF-α似乎是感染性关节中观察到的信号传导中断的核心。最终,网络中心性方法为慢性炎症和感染中观察到的组织反应改变提供了见解。