| Literature DB >> 27246837 |
Anuriti Aojula1,2,3, Hannah Botfield1,2,3, James Patterson McAllister4, Ana Maria Gonzalez1,3, Osama Abdullah5, Ann Logan5,3, Alexandra Sinclair1,2,3,6.
Abstract
BACKGROUND: In an effort to develop novel treatments for communicating hydrocephalus, we have shown previously that the transforming growth factor-β antagonist, decorin, inhibits subarachnoid fibrosis mediated ventriculomegaly; however decorin's ability to prevent cerebral cytopathology in communicating hydrocephalus has not been fully examined. Furthermore, the capacity for diffusion tensor imaging to act as a proxy measure of cerebral pathology in multiple sclerosis and spinal cord injury has recently been demonstrated. However, the use of diffusion tensor imaging to investigate cytopathological changes in communicating hydrocephalus is yet to occur. Hence, this study aimed to determine whether decorin treatment influences alterations in diffusion tensor imaging parameters and cytopathology in experimental communicating hydrocephalus. Moreover, the study also explored whether diffusion tensor imaging parameters correlate with cellular pathology in communicating hydrocephalus.Entities:
Keywords: Cytopathology; DTI; Decorin; Hydrocephalus
Mesh:
Substances:
Year: 2016 PMID: 27246837 PMCID: PMC4888658 DOI: 10.1186/s12987-016-0033-2
Source DB: PubMed Journal: Fluids Barriers CNS ISSN: 2045-8118
Fig. 2Decorin reduced hydrocephalus induced abnormalities in the caudal corpus callosum and periventricular white matter as evident from DTI. a Representative FA images of the locations at which the corpus callosum and periventricular white matter were analysed. Section 1 (1.28 mm anterior to Bregma) and Section 2 (0.36 mm posterior to Bregma) are classified as the rostral periventricular white matter and corpus callosum. Section 3 (2.76 mm posterior to Bregma) and Section 4 (3.72 mm posterior to Bregma) refer to the caudal periventricular white matter and corpus callosum. Line graphs displaying decorin’s ability to reduce abnormalities in the (b) corpus callosum and (c) periventricular white matter on DTI; blue = Intact, green = kaolin, red = kaolin + PBS, orange = kaolin + decorin [Intact (n = 4), kaolin (n = 4), kaolin + PBS (n = 6), kaolin + decorin (n = 5)]. Error bars represent the standard error of the mean; *p < 0.05, **p < 0.01, ***p < 0.001
Fig. 1Regions of interest (ROIs) for DTI analysis in each experimental group. Representative voxel based map images and analogous diffusion tensor images of the caudal cerebrum at 2.76 mm posterior to Bregma are shown for the four experimental groups. All ROIs selected for analysis, except from the rostral internal capsule, are displayed. ROIs were chosen with the aid of a rat brain atlas [45]; white = corpus callosum, green = periventricular white matter, cyan = outer parietal cortex, yellow = inner parietal cortex, red = CA1 hippocampus, magenta = caudal internal capsule, scale bar = 100 μm
Significant changes in the mean differences between the rostral versus caudal ventricular volumes amongst the four experimental groups
| p | |
|---|---|
| Intact vs Kaolin | 0.005 |
| Intact vs Kaolin + PBS | <0.001 |
| Intact vs Kaolin + decorin | 0.946 |
| Kaolin vs Kaolin + PBS | 0.530 |
| Kaolin vs Kaolin + decorin | 0.015 |
| Kaolin + PBS vs Kaolin + decorin | 0.001 |
DTI parameter values of the corpus callosum and periventricular white matter correlated with rostral and caudal ventricular volume
| DTI parameter | R (Spearman’s rho) | p |
|---|---|---|
|
| ||
| CC FA | 0.831 | <0.001 |
| CC MD | 0.539 | 0.026 |
| CC AD | 0.527 | 0.030 |
| CC RD | 0.733 | 0.001 |
| PVWM FA | 0.949 | <0.001 |
| PVWM MD | 0.706 | 0.002 |
| PVWM AD | 0.507 | 0.038 |
| PVWM RD | 0.642 | 0.005 |
|
| ||
| CC FA | −0.676 | 0.003 |
| CC MD | 0.723 | 0.001 |
| CC AD | 0.777 | <0.001 |
| CC RD | 0.838 | <0.001 |
| PVWM FA | −0.520 | 0.033 |
| PVWM MD | 0.537 | 0.026 |
| PVWM AD | 0.441 | 0.076 |
| PVWM RD | 0.547 | 0.023 |
Statistically significant correlations = p < 0.05
CC corpus callosum, PVWM periventricular white matter, FA fractional anisotropy, MD mean diffusivity, AD axial diffusivity, RD radial diffusivity, R correlation coefficient (Spearman’s rho)
Fig. 3Decorin prevented an increase in GFAP and AQP4 in the periventricular white matter. Representative images comparing the level of (a) GFAP immunostaining (green), (b) AQP4 immunostaining (red), (c) OX-42 immunostaining (green) and (d) MBP immunostaining (green) in the periventricular white matter; scale bar = 10 μm. a kaolin and kaolin + PBS rats displayed thickening of astrocytic processes (white arrow). b Accumulation of AQP4 staining was observed in kaolin rats (white arrow). AQP4 was further arranged around the circumference of blood vessels (yellow arrow). c Elongated, amoeboid microglia (yellow arrow) were particularly evident in kaolin rats. Microglia of kaolin + PBS rats were captured transitioning from branched resting microglia to activated amoeboid microglia (blue arrow). d Decorin treatment improved the myelin loss and disorganisation present in kaolin and kaolin + PBS rats (white arrow). Each corresponding bar graph displays the mean percentage of GFAP, AQP4, OX-42 or MBP positive pixels above threshold or background in the periventricular white matter across the four experimental groups; V lateral ventricle, error bars represent the standard error of the mean, *p < 0.05, **p < 0.01
Fig. 4Decorin prevented myelin loss in the caudal internal capsule. a Representative images comparing caudal internal capsule MBP immunostaining (green) across the four experimental groups. Myelin organisation was better maintained with decorin use. b A bar graph displaying the mean percentage of MBP positive pixels above threshold in the internal capsule across the four experimental groups. Decreased MBP levels were present in kaolin and kaolin + PBS rats which was incompletely attenuated with decorin treatment; error bars represent the standard error of the mean, *p < 0.05, **p < 0.01, ***p < 0.001; scale bar = 50 μm
AQP4 levels correlated significantly with the marker of gliosis, GFAP, in the corpus callosum, periventricular white matter, caudate-putamen and parietal and occipital cortex
| Region of interest | R | p |
|---|---|---|
| Corpus callosum | 0.614 | 0.005 |
| Periventricular white matter | 0.854 | <0.001 |
| CA1 hippocampus | 0.332 | 0.166 |
| CA3 hippocampus | 0.446 | 0.056 |
| Internal capsule | 0.291 | 0.226 |
| Caudate-putamen | 0.495 | 0.043 |
| Parietal cortex | 0.528 | 0.020 |
| Occipital cortex | 0.607 | 0.006 |
Statistically significant correlations = p < 0.05
R correlation coefficient
The marker of gliosis, GFAP, and AQP4 levels correlated with DTI parameter values in the periventricular white matter
| ROI | Immunostain | DTI parameter | R | p |
|---|---|---|---|---|
| Corpus callosum | GFAP | FA | −0.370 | 0.144 |
| MD | 0.306 | 0.232 | ||
| AD | 0.600 | 0.011* | ||
| RD | 0.424 | 0.090* | ||
| OX-42 | FA | −0.086 | 0.743 | |
| MD | 0.002 | 0.993 | ||
| AD | 0.352 | 0.165 | ||
| RD | 0.120 | 0.646 | ||
| AQP4 | FA | −0.323 | 0.205 | |
| MD | 0.191 | 0.462 | ||
| AD | 0.566 | 0.018* | ||
| RD | 0.409 | 0.103 | ||
| MBP | FA | 0.091 | 0.729 | |
| MD | −0.031 | 0.903 | ||
| AD | 0.159 | 0.541 | ||
| RD | −0.115 | 0.660 | ||
| Periventricular white matter | GFAP | FA | −0.485 | 0.048* |
| MD | 0.647 | 0.005* | ||
| AD | 0.667 | 0.003* | ||
| RD | 0.680 | 0.003* | ||
| OX-42 | FA | −0.495 | 0.043* | |
| MD | 0.292 | 0.256 | ||
| AD | 0.299 | 0.244 | ||
| RD | 0.213 | 0.411 | ||
| AQP4 | FA | −0.640 | 0.006* | |
| MD | 0.799 | <0.001* | ||
| AD | 0.801 | <0.001* | ||
| RD | 0.829 | <0.001* | ||
| MBP | FA | 0.346 | 0.174 | |
| MD | −0.495 | 0.043* | ||
| AD | −0.360 | 0.155 | ||
| RD | −0.458 | 0.064* |
FA fractional anisotropy, MD mean diffusivity, AD axial diffusivity, RD radial diffusivity, R the correlation coefficient
* Statistically significant correlations = p < 0.05