Ding-Bo Yang1, Wen-Hua Yu2, Xiao-Qiao Dong3, Zu-Yong Zhang4, Quan Du2, Qiang Zhu2, Zhi-Hao Che2, Hao Wang2, Yong-Feng Shen2, Li Jiang2. 1. Department of Neurosurgery, The Tumor Hospital of Hangzhou City, 34 Yanguan Lane, Hangzhou 310002, China. 2. Department of Neurosurgery, The Hangzhou First People's Hospital, Nanjing Medical University, 261 Huansha Road, Hangzhou 310006, China. 3. Department of Neurosurgery, The Hangzhou First People's Hospital, Nanjing Medical University, 261 Huansha Road, Hangzhou 310006, China. Electronic address: dxqhyy@163.com. 4. Department of Neurosurgery, The Hangzhou Hospital of Traditional Chinese Medicine, 453 Tiyuchang Road, Hangzhou 310007, China.
Abstract
BACKGROUND: Macrophage migration inhibitory factor (MIF) is a well-known pro-inflammatory cytokine. Serum MIF concentrations are associated with the severity and prognosis of ischemic stroke. METHODS: In this prospective, observational study, white blood cell (WBC) count and serum concentrations of C-reactive protein (CRP), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α) and MIF among 108 severe traumatic brain injury (TBI) patients and 108 controls were measured. We determined whether serum MIF concentrations are associated with inflammation, severity, in-hospital major adverse events (IMAEs) (i.e., in-hospital mortality, acute lung injury, acute traumatic coagulopathy, progressive hemorrhagic injury and posttraumatic cerebral infarction) and long-term clinical outcome (i.e., 6-month functional outcome) after TBI. RESULTS: As compared to the controls, serum CRP, IL-6, TNF-α and MIF concentrations were significantly increased. MIF concentrations correlated with WBC count, CRP, IL-6 and TNF-α concentrations and Glasgow coma scale (GCS) scores. MIF in serum was independently associated with IMAEs and long-term clinical outcome. Area under receiver operating characteristic curve of MIF concentrations was similar to GCS scores'. Moreover, MIF concentrations markedly improved the predictive value of GCS scores for 6-month unfavorable outcome. CONCLUSION: Increased serum MIF concentrations have close relation to inflammation, trauma severity and clinical outcomes, substantializing MIF as a good prognostic biomarker after TBI.
BACKGROUND:Macrophage migration inhibitory factor (MIF) is a well-known pro-inflammatory cytokine. Serum MIF concentrations are associated with the severity and prognosis of ischemic stroke. METHODS: In this prospective, observational study, white blood cell (WBC) count and serum concentrations of C-reactive protein (CRP), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α) and MIF among 108 severe traumatic brain injury (TBI) patients and 108 controls were measured. We determined whether serum MIF concentrations are associated with inflammation, severity, in-hospital major adverse events (IMAEs) (i.e., in-hospital mortality, acute lung injury, acute traumatic coagulopathy, progressive hemorrhagic injury and posttraumatic cerebral infarction) and long-term clinical outcome (i.e., 6-month functional outcome) after TBI. RESULTS: As compared to the controls, serum CRP, IL-6, TNF-α and MIF concentrations were significantly increased. MIF concentrations correlated with WBC count, CRP, IL-6 and TNF-α concentrations and Glasgow coma scale (GCS) scores. MIF in serum was independently associated with IMAEs and long-term clinical outcome. Area under receiver operating characteristic curve of MIF concentrations was similar to GCS scores'. Moreover, MIF concentrations markedly improved the predictive value of GCS scores for 6-month unfavorable outcome. CONCLUSION: Increased serum MIF concentrations have close relation to inflammation, trauma severity and clinical outcomes, substantializing MIF as a good prognostic biomarker after TBI.
Authors: Gil Benedek; Mahmoud Abed El Latif; Keren Miller; Mila Rivkin; Ally Ahmed Ramadhan Lasu; Lul P Riek; Richard Lako; Shimon Edvardson; Sagit Arbel-Alon; Eithan Galun; Mia Levite Journal: PLoS Negl Trop Dis Date: 2021-10-18
Authors: M Karen Newell-Rogers; Susannah K Rogers; Richard P Tobin; Sanjib Mukherjee; Lee A Shapiro Journal: Int J Mol Sci Date: 2020-10-09 Impact factor: 5.923