| Literature DB >> 25659092 |
Xiaodong Zhang1, Frank Tong2, Chun-Xia Li1, Yumei Yan1, Doty Kempf1, Govind Nair3, Silun Wang1, E Chris Muly4, Stuart Zola5, Leonard Howell4.
Abstract
BACKGROUND ANDEntities:
Mesh:
Year: 2015 PMID: 25659092 PMCID: PMC4319749 DOI: 10.1371/journal.pone.0117290
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Demographic data of subjects.
| Monkey ID | Age (years) | End Time Point (Hours post occlusion) | Body weight(kg) |
|---|---|---|---|
| RVI3 | 19.5 | 8 | 9.9 |
| RCE3 | 20.0 | 8 | 7.2 |
| RJJ3 | 21.5 | 48 | 8.2 |
| RPF6 | 13.5 | 48 | 10.0 |
| RFA5 | 18.0 | 96 | 9.3 |
| RRI3 | 21.5 | 96 | 8.2 |
| PH1019 | 13.5 | 96 | 9.2 |
| RVG4 | 10.5 | 96 | 6.9 |
| Mean±SD | 17.2±4.2 | 8.6±1.2 |
Stroke lesion volumes measured with DWI, T2W, perfusion(CBF), and predicted with the natural logarithmic function (Unit: ml).
| Monkey ID | 6 hours post occlusion | 48 hours post occlusion | 96 hours post occlusion | Fitting parameters | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| DWI | CBF | CBF | T2W | Predicted | CBF | T2W | Predicted | Growth Rate | Baseline Volume | |
| RVI3 | 3.3 | 7.4 | 1.04 | 1.03 | ||||||
| RCE3 | 8.8 | 7.7 | 3.78 | 2.02 | ||||||
| RJJ3 | 4.6 | 4.8 | 16.6 | 7.8 | 7.5 | 1.41 | 2.06 | |||
| RPF6 | 0.59 | 1.36 | 1.73 | 1.08 | 0.97 | 0.21 | 0.17 | |||
| RFA5 | 4.9 | 6.5 | 6.6 | 6.3 | 9.9 | 7.2 | 7.0 | 11.6 | 2.47 | 0.34 |
| RRI3 | 1.6 | 3.2 | 1.9 | 2.5 | 2.5 | 2.1 | 2.5 | 2.8 | 0.43 | 0.86 |
| RVG4 | 1.2 | 4.7 | 5.2 | 2.0 | 1.8 | 9.4 | 4.6 | 2.1 | 0.33 | 0.56 |
| Mean±SD | 3.6± 2.8 | 5.1± 2.3 | 6.4± 6.1 | 3.9± 2.9 | 6.4± 3.1 | 4.8± 1.9 | 1.38± 1.32 | 1.0± 0.76 | ||
Fig 1Stroke lesion evolution.
Top: Axial DWI images of Subject RJJ3 at 48 hours post stroke show the entire infarct territory. Bottom: representative DWI images of RJJ3 demonstrate the infarct evolution at different time point (in hours) post MCA occlusion.
Fig 2Temporal volumetric changes of stroke infarct in each subject during the hyperacute phase (1–6 hours).
A natural logarithmic fitting was performed for each data set. Y-axis: volume (ml); X-axis: hours post MCA occlusion.
Fig 3Serial axial CBF maps illustrate temporal perfusion changes in Subject RFA5 after permanent MCA occlusion.
Fig 4CBF ratio of ipsilateral/contralateral in infarction core (left) and penumbra (right) post MCA occlusion.
Error bar: mean + Standard error.
Fig 5The stroke lesion is illustrated in the perfusion (CBF), diffusion (DWI), T2W images and H&E stained slice of the stroke monkey brain (RVG4).
Fig 6Illustration of ischemic lesions on T2W images and histology sections.
Top: Axial T2W images of Subject RVG4. Middle: Reconstructed coronal T2W images of the same stroke monkey. Bottom: H&E staining of this stroke monkey brain sample.