| HOUŠKA, Jan, Eladia María PEÑA-MÉNDEZ, Juan Ramón HERNANDEZ-FERNAUD, Eduardo SALIDO, Aleš HAMPL, Josef HAVEL a Petr VAŇHARA. Tissue profiling by nanogold-mediated mass spectrometry and artificial neural networks in the mouse model of human primary hyperoxaluria 1. Journal of Applied Biomedicine. České Budějovice: Faculty of Health and Social Care, University of South Bohemia, 2014, roč. 12, č. 2, s. 119-125. ISSN 1214-021X. Dostupné z: https://dx.doi.org/10.1016/j.jab.2013.12.001. |
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@article{1163418,
author = {Houška, Jan and PeñaandMéndez, Eladia María and HernandezandFernaud, Juan Ramón and Salido, Eduardo and Hampl, Aleš and Havel, Josef and Vaňhara, Petr},
article_location = {České Budějovice},
article_number = {2},
doi = {http://dx.doi.org/10.1016/j.jab.2013.12.001},
keywords = {MALDI-TOF mass spectrometry; Primary hyperoxaluria I; Artificial neural networks; Diagnostics; Tissue profiling},
language = {eng},
issn = {1214-021X},
journal = {Journal of Applied Biomedicine},
title = {Tissue profiling by nanogold-mediated mass spectrometry and artificial neural networks in the mouse model of human primary hyperoxaluria 1},
url = {http://www.sciencedirect.com/science/article/pii/S1214021X13000136/pdfft?md5=130a2f4ffcfb8294fae770ebd95924f2&pid=1-s2.0-S1214021X13000136-main.pdf},
volume = {12},
year = {2014}
}
TY - JOUR
ID - 1163418
AU - Houška, Jan - Peña-Méndez, Eladia María - Hernandez-Fernaud, Juan Ramón - Salido, Eduardo - Hampl, Aleš - Havel, Josef - Vaňhara, Petr
PY - 2014
TI - Tissue profiling by nanogold-mediated mass spectrometry and artificial neural networks in the mouse model of human primary hyperoxaluria 1
JF - Journal of Applied Biomedicine
VL - 12
IS - 2
SP - 119-125
EP - 119-125
PB - Faculty of Health and Social Care, University of South Bohemia
SN - 1214021X
KW - MALDI-TOF mass spectrometry
KW - Primary hyperoxaluria I
KW - Artificial neural networks
KW - Diagnostics
KW - Tissue profiling
UR - http://www.sciencedirect.com/science/article/pii/S1214021X13000136/pdfft?md5=130a2f4ffcfb8294fae770ebd95924f2&pid=1-s2.0-S1214021X13000136-main.pdf
L2 - http://www.sciencedirect.com/science/article/pii/S1214021X13000136/pdfft?md5=130a2f4ffcfb8294fae770ebd95924f2&pid=1-s2.0-S1214021X13000136-main.pdf
N2 - Correct assessment of tissue histopathology is a necessary prerequisite for any clinical diagnosis. Nowadays, classical methods of histochemistry and immunohistochemistry are complemented by various techniques adopted from molecular biology and bioanalytical chemistry. Mass spectrometry profiling or imaging offered a new level of tissue visualization in the last decade, revealing hidden patterns of tissue molecular organization. It can be adapted to diagnostic purposes to improve decisions on complex and morphologically not apparent diagnoses. In this work, we successfully combined tissue profiling by mass spectrometry with analysis by artificial neural networks to classify normal and diseased liver and kidney tissues in a mouse model of primary hyperoxaluria type 1. Lack of the liver L-alanine: glyoxylate aminotransferase catalyzing conversion of L-alanine and glyoxylate to pyruvate and glycine causes accumulation of oxalate salts in various tissues, especially urinary system, resulting in compromised renal function and finally end stage renal disease. As the accumulation of oxalate salts alters chemical composition of affected tissues, it makes it available for examination by bioanalytical methods. We demonstrated that the direct tissue MALDI-TOF MS combined with neural computing offers an efficient tool for diagnosis of primary hyperoxaluria type I and potentially for other metabolic disorders altering chemical composition of tissues.
ER -
HOUŠKA, Jan, Eladia María PEÑA-MÉNDEZ, Juan Ramón HERNANDEZ-FERNAUD, Eduardo SALIDO, Aleš HAMPL, Josef HAVEL a Petr VAŇHARA. Tissue profiling by nanogold-mediated mass spectrometry and artificial neural networks in the mouse model of human primary hyperoxaluria 1. \textit{Journal of Applied Biomedicine}. České Budějovice: Faculty of Health and Social Care, University of South Bohemia, 2014, roč.~12, č.~2, s.~119-125. ISSN~1214-021X. Dostupné z: https://dx.doi.org/10.1016/j.jab.2013.12.001.
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