Tissue profiling by nanogold-mediated mass spectrometry and
artificial neural networks in the mouse model of human primary
hyperoxaluria 1

J 2014

Tissue profiling by nanogold-mediated mass spectrometry and artificial neural networks in the mouse model of human primary hyperoxaluria 1

HOUŠKA, Jan, Eladia María PEÑA-MÉNDEZ, Juan Ramón HERNANDEZ-FERNAUD, Eduardo SALIDO, Aleš HAMPL et. al.

Základní údaje

Originální název

Tissue profiling by nanogold-mediated mass spectrometry and artificial neural networks in the mouse model of human primary hyperoxaluria 1

Autoři

HOUŠKA, Jan (203 Česká republika, domácí), Eladia María PEÑA-MÉNDEZ (724 Španělsko), Juan Ramón HERNANDEZ-FERNAUD (724 Španělsko), Eduardo SALIDO (724 Španělsko), Aleš HAMPL (203 Česká republika, domácí), Josef HAVEL (203 Česká republika, domácí) a Petr VAŇHARA (203 Česká republika, garant, domácí)

Vydání

Journal of Applied Biomedicine, České Budějovice, Faculty of Health and Social Care, University of South Bohemia, 2014, 1214-021X

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10406 Analytical chemistry

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 1.302

Kód RIV

RIV/00216224:14110/14:00073478

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.1016/j.jab.2013.12.001

UT WoS

000334441900007

Klíčová slova anglicky

MALDI-TOF mass spectrometry; Primary hyperoxaluria I; Artificial neural networks; Diagnostics; Tissue profiling

Štítky

artificial neural networks, EL OK, MALDI-TOF mass spectrometry, podil, Primary hyperoxaluria I

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 18. 1. 2015 18:52, Ing. Mgr. Věra Pospíšilíková

Anotace

V originále

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.

Návaznosti

GA202/07/1669, projekt VaV

Název: Depozice termomechanicky stabilních nanostrukturovaných diamantu-podobných tenkých vrstev ve dvojfrekvenčních kapacitních výbojích

Investor: Grantová agentura ČR, Depozice termomechanicky stabilních nanostrukturovaných diamantu-podobných tenkých vrstev ve dvojfrekvenčních kapacitních výbojích

MSM0021622411, záměr

Název: Studium a aplikace plazmochemických reakcí v neizotermickém nízkoteplotním plazmatu a jeho interakcí s povrchem pevných látek

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Studium a aplikace plazmochemických reakcí v neizotermickém nízkoteplotním plazmatu a jeho interakcí s povrchem pevných látek

MSM0021622430, záměr

Název: Funkční a molekulární charakteristiky nádorových a normálních kmenových buněk - identifikace cílů pro nová terapeutika a terapeutické strategie

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Funkční a molekulární charakteristiky nádorových a normálních kmenových buněk - identifikace cílů pro nová terapeutika a terapeutické strategie

MUNI/M/0041/2013, interní kód MU

Název: Bioanalytical Cell and Tissue Authentication using Physical Chemistry Methods and Artificial Intelligence

Investor: Masarykova univerzita, Bioanalytical Cell and Tissue Authentication using Physical Chemistry Methods and Artificial Intelligence, INTERDISCIPLINARY - Mezioborové výzkumné projekty

Citovat

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.

@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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