Proteomic identification of biomarkers in the cerebrospinal fluid in a rat model of nigrostriatal dopaminergic degeneration

2007 ◽  
Vol 85 (16) ◽  
pp. 3607-3618 ◽  
Author(s):  
I. Rite ◽  
S. Argüelles ◽  
J.L. Venero ◽  
S. García-Rodriguez ◽  
A. Ayala ◽  
...  
Neuroscience ◽  
2017 ◽  
Vol 358 ◽  
pp. 93-102 ◽  
Author(s):  
Peng-Fei Liu ◽  
Hong-Zhi Fang ◽  
Yan Yang ◽  
Qing-Qing Zhang ◽  
Qiang-Qiang Zhou ◽  
...  

1999 ◽  
Vol 43 (7) ◽  
pp. 1651-1656 ◽  
Author(s):  
Christian Michelet ◽  
Stephen L. Leib ◽  
Daniele Bentue-Ferrer ◽  
Martin G. Täuber

ABSTRACT The antibacterial activities of amoxicillin-gentamicin, trovafloxacin, trimethoprim-sulfamethoxazole (TMP-SMX) and the combination of trovafloxacin with TMP-SMX were compared in a model of meningoencephalitis due to Listeria monocytogenes in infant rats. At 22 h after intracisternal infection, the cerebrospinal fluid was cultured to document meningitis, and the treatment was started. Treatment was instituted for 48 h, and efficacy was evaluated 24 h after administration of the last dose. All tested treatment regimens exhibited significant activities in brain, liver, and blood compared to infected rats receiving saline (P < 0.001). In the brain, amoxicillin plus gentamicin was more active than all of the other regimens, and trovafloxacin was more active than TMP-SMX (bacterial titers of 4.1 ± 0.5 log10 CFU/ml for amoxicillin-gentamicin, 5.0 ± 0.4 log10 CFU/ml for trovafloxacin, and 5.8 ± 0.5 log10 CFU/ml for TMP-SMX;P < 0.05). In liver, amoxicillin-gentamicin and trovafloxacin were similarly active (2.8 ± 0.8 and 2.7 ± 0.8 log10 CFU/ml, respectively) but more active than TMP-SMX (4.4 ± 0.6 log10 CFU/ml; P< 0.05). The combination of trovafloxacin with TMP-SMX did not alter the antibacterial effect in the brain, but it did reduce the effect of trovafloxacin in the liver. Amoxicillin-gentamicin was the most active therapy in this study, but the activity of trovafloxacin suggests that further studies with this drug for the treatment ofListeria infections may be warranted.


2020 ◽  
Vol 12 ◽  
Author(s):  
Jiangnan Ma ◽  
Jinzhao Gao ◽  
Mengyue Niu ◽  
Xiaona Zhang ◽  
Jing Wang ◽  
...  

2011 ◽  
Vol 80 (3) ◽  
pp. 272-281 ◽  
Author(s):  
Tim Fugmann ◽  
Beatrice Borgia ◽  
Csaba Révész ◽  
Mária Godó ◽  
Carol Forsblom ◽  
...  

2007 ◽  
Vol 6 (2) ◽  
pp. 559-570 ◽  
Author(s):  
Fatima W. Khwaja ◽  
Matthew S. Reed ◽  
Jeffrey J. Olson ◽  
Brian J. Schmotzer ◽  
G. Yancey Gillespie ◽  
...  

2018 ◽  
Vol 11 (4) ◽  
pp. dmm031997 ◽  
Author(s):  
Shruthi Shanmukha ◽  
Gayathri Narayanappa ◽  
Atchayaram Nalini ◽  
Phalguni Anand Alladi ◽  
Trichur R. Raju

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Thomas Filip ◽  
Severin Mairinger ◽  
Joerg Neddens ◽  
Michael Sauberer ◽  
Stefanie Flunkert ◽  
...  

Abstract Background To better understand the etiology and pathomechanisms of Alzheimer’s disease, several transgenic animal models that overexpress human tau or human amyloid-beta (Aβ) have been developed. In the present study, we generated a novel transgenic rat model by cross-breeding amyloid precursor protein (APP) rats with tau rats. We characterized this model by performing positron emission tomography scans combined with immunofluorescent labeling and cerebrospinal fluid analyses. Methods APP/Tau rats were generated by cross-breeding male McGill-R-Thy1-APP transgenic rats with female hTau-40/P301L transgenic rats. APP/Tau double transgenic rats and non-transgenic (ntg) littermates aged 7, 13, and 21 months were subjected to dynamic [11C] PiB scan and dynamic [18F]THK-5317 scans. For regional brain analysis, a template was generated from anatomical MR images of selected animals, which was co-registered with the PET images. Regional analysis was performed by application of the simplified reference tissue model ([11C]PiB data), whereas [18F]THK-5317 data were analyzed using a 2-tissue compartment model and Logan graphical analysis. In addition, immunofluorescent labeling (tau, amyloid) and cerebrospinal fluid analyses were performed. Results [11C]PiB binding potential (BPND) and [18F]THK-5317 volume of distribution (VT) showed an increase with age in several brain regions in the APP/Tau group but not in the ntg control group. Immunohistochemical analysis of brain slices of PET-scanned animals revealed a positive correlation between Aβ labeling and [11C]PiB regional BPND. Tau staining yielded a trend towards higher levels in the cortex and hippocampus of APP/Tau rats compared with ntg littermates, but without reaching statistical significance. No correlation was found between tau immunofluorescence labeling results and the respective [18F]THK-5317 VT values. Conclusions We thoroughly characterized a novel APP/Tau rat model using combined PET imaging and immunofluorescence analysis. We observed an age-related increase in [11C]PiB and [18F]THK-5317 binding in several brain regions in the APP/Tau group but not in the ntg group. Although we were able to reveal a positive correlation between amyloid labeling and [11C]PiB regional brain uptake, we observed relatively low human tau and amyloid fibril expression levels and a somewhat unstable brain pathology which questions the utility of this animal model for further studies.


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