Principal component analysis of the cytokine and chemokine response to human traumatic brain injury.
There is a growing realisation that neuro-inflammation plays a fundamental role in the pathology of Traumatic Brain Injury (TBI). This has led to the search for biomarkers that reflect these underlying inflammatory processes using techniques such as cerebral microdialysis. The interpretation of such...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2012-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0039677&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849725954308440064 |
|---|---|
| author | Adel Helmy Chrystalina A Antoniades Mathew R Guilfoyle Keri L H Carpenter Peter J Hutchinson |
| author_facet | Adel Helmy Chrystalina A Antoniades Mathew R Guilfoyle Keri L H Carpenter Peter J Hutchinson |
| author_sort | Adel Helmy |
| collection | DOAJ |
| description | There is a growing realisation that neuro-inflammation plays a fundamental role in the pathology of Traumatic Brain Injury (TBI). This has led to the search for biomarkers that reflect these underlying inflammatory processes using techniques such as cerebral microdialysis. The interpretation of such biomarker data has been limited by the statistical methods used. When analysing data of this sort the multiple putative interactions between mediators need to be considered as well as the timing of production and high degree of statistical co-variance in levels of these mediators. Here we present a cytokine and chemokine dataset from human brain following human traumatic brain injury and use principal component analysis and partial least squares discriminant analysis to demonstrate the pattern of production following TBI, distinct phases of the humoral inflammatory response and the differing patterns of response in brain and in peripheral blood. This technique has the added advantage of making no assumptions about the Relative Recovery (RR) of microdialysis derived parameters. Taken together these techniques can be used in complex microdialysis datasets to summarise the data succinctly and generate hypotheses for future study. |
| format | Article |
| id | doaj-art-0dc6c90092d14dcc9a599cf2a4b56871 |
| institution | DOAJ |
| issn | 1932-6203 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-0dc6c90092d14dcc9a599cf2a4b568712025-08-20T03:10:20ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0176e3967710.1371/journal.pone.0039677Principal component analysis of the cytokine and chemokine response to human traumatic brain injury.Adel HelmyChrystalina A AntoniadesMathew R GuilfoyleKeri L H CarpenterPeter J HutchinsonThere is a growing realisation that neuro-inflammation plays a fundamental role in the pathology of Traumatic Brain Injury (TBI). This has led to the search for biomarkers that reflect these underlying inflammatory processes using techniques such as cerebral microdialysis. The interpretation of such biomarker data has been limited by the statistical methods used. When analysing data of this sort the multiple putative interactions between mediators need to be considered as well as the timing of production and high degree of statistical co-variance in levels of these mediators. Here we present a cytokine and chemokine dataset from human brain following human traumatic brain injury and use principal component analysis and partial least squares discriminant analysis to demonstrate the pattern of production following TBI, distinct phases of the humoral inflammatory response and the differing patterns of response in brain and in peripheral blood. This technique has the added advantage of making no assumptions about the Relative Recovery (RR) of microdialysis derived parameters. Taken together these techniques can be used in complex microdialysis datasets to summarise the data succinctly and generate hypotheses for future study.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0039677&type=printable |
| spellingShingle | Adel Helmy Chrystalina A Antoniades Mathew R Guilfoyle Keri L H Carpenter Peter J Hutchinson Principal component analysis of the cytokine and chemokine response to human traumatic brain injury. PLoS ONE |
| title | Principal component analysis of the cytokine and chemokine response to human traumatic brain injury. |
| title_full | Principal component analysis of the cytokine and chemokine response to human traumatic brain injury. |
| title_fullStr | Principal component analysis of the cytokine and chemokine response to human traumatic brain injury. |
| title_full_unstemmed | Principal component analysis of the cytokine and chemokine response to human traumatic brain injury. |
| title_short | Principal component analysis of the cytokine and chemokine response to human traumatic brain injury. |
| title_sort | principal component analysis of the cytokine and chemokine response to human traumatic brain injury |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0039677&type=printable |
| work_keys_str_mv | AT adelhelmy principalcomponentanalysisofthecytokineandchemokineresponsetohumantraumaticbraininjury AT chrystalinaaantoniades principalcomponentanalysisofthecytokineandchemokineresponsetohumantraumaticbraininjury AT mathewrguilfoyle principalcomponentanalysisofthecytokineandchemokineresponsetohumantraumaticbraininjury AT kerilhcarpenter principalcomponentanalysisofthecytokineandchemokineresponsetohumantraumaticbraininjury AT peterjhutchinson principalcomponentanalysisofthecytokineandchemokineresponsetohumantraumaticbraininjury |