Molecular Detection of JC Virus in Embalmed, Formalin-Fixed, Paraffin-Embedded Brain Tissue

1997 ◽  
Vol 42 (6) ◽  
pp. 14278J ◽  
Author(s):  
Barbara H. Amaker ◽  
Francis W. Chandler ◽  
Lee O. Huey ◽  
Rita M. Colwell
2005 ◽  
Vol 126 (1-2) ◽  
pp. 37-43 ◽  
Author(s):  
Hiroshi Ikegaya ◽  
Hirotaro Iwase ◽  
Huai-Ying Zheng ◽  
Makoto Nakajima ◽  
Koichi Sakurada ◽  
...  

2019 ◽  
Vol 56 (4) ◽  
pp. 604-608 ◽  
Author(s):  
Anna Kokosinska ◽  
Grazieli Maboni ◽  
Kathleen M. Kelly ◽  
Alex Molesan ◽  
Susan Sanchez ◽  
...  

Neurologic manifestations other than cerebellar hypoplasia are rarely associated with feline panleukopenia virus (FPV) infection in cats. Here the authors describe lymphoplasmacytic meningoencephalitis and neuronal necrosis in 2 cats autopsied after exhibiting ataxia and nystagmus. Gross changes consisted of cerebellar herniation through the foramen magnum, with flattening of cerebrocortical gyri and narrowing of sulci. Histologically, lymphoplasmacytic meningoencephalitis, extensive neuronal necrosis, and neuroaxonal degeneration with digestion chambers were present in the telencephalon and brain stem in both cats. Frozen brain tissue of both cats was positive for parvoviral antigen via fluorescent antibody testing, and formalin-fixed, paraffin-embedded tissue sections of brain were immunoreactive for parvovirus antigen and positive for parvoviral DNA on in situ hybridization. Frozen brain tissue from 1 case was positive for parvovirus NS1 and VP2 genes using conventional polymerase chain reaction, and subsequent DNA sequencing and phylogenetic analysis revealed that the viral strain was a FPV. Reverse transcription quantitative polymerase chain reaction on formalin-fixed, paraffin-embedded brain tissue revealed high levels of parvovirus in both cases, supporting an acute and active viral infection. Although rare, FPV infection should be considered in cases of lymphoplasmacytic meningoencephalitis and neuronal necrosis in cats.


Methods ◽  
2010 ◽  
Vol 52 (4) ◽  
pp. 359-366 ◽  
Author(s):  
Chun-Qing Liu ◽  
Ling Shan ◽  
Rawien Balesar ◽  
Sabina Luchetti ◽  
Joop J. Van Heerikhuize ◽  
...  

Author(s):  
Gilbert Georg Klamminger ◽  
Jean-Jacques Gérardy ◽  
Finn Jelke ◽  
Giulia Mirizzi ◽  
Rédouane Slimani ◽  
...  

Abstract Background Although microscopic assessment is still the diagnostic gold standard in pathology, non-light microscopic methods such as new imaging methods and molecular pathology have considerably contributed to more precise diagnostics. As an upcoming method, Raman spectroscopy (RS) offers a "molecular fingerprint" which could be used to differentiate tissue heterogeneity or diagnostic entities. RS has been successfully applied on fresh and frozen tissue, however more aggressively, chemically treated tissue such as formalin-fixed, paraffin-embedded (FFPE) samples are challenging for RS. Methods To address this issue, we examined FFPE samples of morphologically highly heterogeneous glioblastoma (GBM) using RS in order to classify histologically defined GBM areas according to RS spectral properties. We have set up a SVM (support vector machine)-based classifier in a training cohort and corroborated our findings in a validation cohort. Results Our trained classifier identified distinct histological areas such as tumor core and necroses in GBM with an overall accuracy of 70.5% based on spectral properties of RS. With an absolute misclassification of 21 out of 471 Raman measurements, our classifier has the property of precisely distinguishing between normal appearing brain tissue and necrosis. When verifying the suitability of our classifier system in a second independent dataset, very little overlap between necrosis and normal appearing brain tissue can be detected. Conclusion These findings show that histologically highly variable samples such as GBM can be reliably recognized by their spectral properties using RS. As a conclusion, we propose that RS may serve useful as a future method in the pathological toolbox.


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