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.

Basic information

Original name

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

Authors

HOUŠKA, Jan; Eladia María PEÑA-MÉNDEZ; Juan Ramón HERNANDEZ-FERNAUD; Eduardo SALIDO; Aleš HAMPL; Josef HAVEL and Petr VAŇHARA

Edition

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

Other information

Language

English

Type of outcome

Article in a journal

Field of Study

10406 Analytical chemistry

Country of publisher

Czech Republic

Confidentiality degree

is not subject to a state or trade secret

References:

URL

Impact factor

Impact factor: 1.302

Marked to be transferred to RIV

Yes

RIV identification code

RIV/00216224:14110/14:00073478

Organization unit

Faculty of Medicine

Keywords in English

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

Abstract

In the original language

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.

Links

GA202/07/1669, research and development project

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

Investor: Czech Science Foundation, Deposition of thermomehanically stable nanostructured diamond-like thin films in dual frequency capacitive discharges

MSM0021622411, plan (intention)

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

Investor: Ministry of Education, Youth and Sports of the CR, Study and application of plasma chemical reactions in non-isothermic low temperature plasma and its interaction with solid surface

MSM0021622430, plan (intention)

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

Investor: Ministry of Education, Youth and Sports of the CR, Functional and molecular characteristics of cancer and normal stem cells - identification of targets for novel therapeutics and therapeutic strategies

MUNI/M/0041/2013, interní kód MU

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

Investor: Masaryk University, INTERDISCIPLINARY - Interdisciplinary research projects

Cite

HOUŠKA, Jan; Eladia María PEÑA-MÉNDEZ; Juan Ramón HERNANDEZ-FERNAUD; Eduardo SALIDO; Aleš HAMPL; Josef HAVEL and 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, vol. 12, No 2, p. 119-125. ISSN 1214-021X. Available from: https://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 = {https://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 and 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, vol.~12, No~2, p.~119-125. ISSN~1214-021X. Available from: https://doi.org/10.1016/j.jab.2013.12.001.

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