| Autor: |
Dyhrfort P; Department of Neuroscience, Section of Neurosurgery, Uppsala University, Uppsala, Sweden., Shen Q; Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden., Clausen F; Department of Neuroscience, Section of Neurosurgery, Uppsala University, Uppsala, Sweden., Thulin M; Department of Statistics Uppsala University, Uppsala, Sweden.; School of Mathematics and Maxwell Institute for Mathematical Sciences, University of Edinburgh, Edinburgh, United Kingdom., Enblad P; Department of Neuroscience, Section of Neurosurgery, Uppsala University, Uppsala, Sweden., Kamali-Moghaddam M; Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden., Lewén A; Department of Neuroscience, Section of Neurosurgery, Uppsala University, Uppsala, Sweden., Hillered L; Department of Neuroscience, Section of Neurosurgery, Uppsala University, Uppsala, Sweden. |
| Jazyk: |
angličtina |
| Zdroj: |
Journal of neurotrauma [J Neurotrauma] 2019 Oct 15; Vol. 36 (20), pp. 2872-2885. Date of Electronic Publication: 2019 Jun 17. |
| DOI: |
10.1089/neu.2018.6320 |
| Abstrakt: |
Traumatic brain injury (TBI) is followed by secondary injury mechanisms strongly involving neuroinflammation. To monitor the complex inflammatory cascade in human TBI, we used cerebral microdialysis (MD) and multiplex proximity extension assay (PEA) technology and simultaneously measured levels of 92 protein biomarkers of inflammation in MD samples every three hours for five days in 10 patients with severe TBI under neurointensive care. One μL MD samples were incubated with paired oligonucleotide-conjugated antibodies binding to each protein, allowing quantification by real-time quantitative polymerase chain reaction. Sixty-nine proteins were suitable for statistical analysis. We found five different patterns with either early (<48 h; e.g., CCL20, IL6, LIF, CCL3), mid (48-96 h; e.g., CCL19, CXCL5, CXCL10, MMP1), late (>96 h; e.g., CD40, MCP2, MCP3), biphasic peaks (e.g., CXCL1, CXCL5, IL8) or stable (e.g., CCL4, DNER, VEGFA)/low trends. High protein levels were observed for e.g., CXCL1, CXCL10, MCP1, MCP2, IL8, while e.g., CCL28 and MCP4 were detected at low levels. Several proteins (CCL8, -19, -20, -23, CXCL1, -5, -6, -9, -11, CST5, DNER, Flt3L, and SIRT2) have not been studied previously in human TBI. Cross-correlation analysis revealed that LIF and CXCL5 may play a central role in the inflammatory cascade. This study provides a unique data set with individual temporal trends for potential inflammatory biomarkers in patients with TBI. We conclude that the combination of MD and PEA is a powerful tool to map the complex inflammatory cascade in the injured human brain. The technique offers new possibilities of protein profiling of complex secondary injury pathways. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
|
