Metabolomics of neural progenitor cells: A novel approach to biomarker discovery

M. Maletić-Savatić, L. K. Vingara, L. N. Manganas, Y. Li, S. Zhang, A. Sierra, R. Hazel, D. Smith, Mark E. Wagshul, F. Henn, L. Krupp, G. Enikolopov, H. Benveniste, P. M. Djurić, I. Pelczer

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

Finding biomarkers of human neurological diseases is one of the most pressing goals of modern medicine. Most neurological disorders are recognized too late because of the lack of biomarkers that can identify early pathological processes in the living brain. Late diagnosis leads to late therapy and poor prognosis. Therefore, during the past decade, a major endeavor of clinical investigations in neurology has been the search for diagnostic and prognostic biomarkers of brain disease. Recently, a new field of metabolomics has emerged, aiming to investigate metabolites within the cell/tissue/organism as possible biomarkers. Similarly to other "omics" fields, metabolomics offers substantial information about the status of the organism at a given time point. However, metabolomics also provides functional insight into the biochemical status of a tissue, which results from the environmental effects on its genome background. Recently, we have adopted metabolomics techniques to develop an approach that combines both in vitro analysis of cellular samples and in vivo analysis of the mammalian brain. Using proton magnetic resonance spectroscopy, we have discovered a metabolic biomarker of neural stem/progenitor cells (NPCs) that allows the analysis of these cells in the live human brain. We have developed signal-processing algorithms that can detect metabolites present at very low concentration in the live human brain and can indicate possible pathways impaired in specific diseases. Herein, we present our strategy for both cellular and systems metabolomics, based on an integrative processing of the spectroscopy data that uses analytical tools from both metabolomic and spectroscopy fields. As an example of biomarker discovery using our approach, we present new data and discuss our previous findings on the NPC biomarker. Our studies link systems and cellular neuroscience through the functions of specific metabolites. Therefore, they provide a functional insight into the brain, which might eventually lead to discoveries of clinically useful biomarkers of the disease.

Original languageEnglish (US)
Pages (from-to)389-401
Number of pages13
JournalCold Spring Harbor Symposia on Quantitative Biology
Volume73
DOIs
StatePublished - 2008
Externally publishedYes

Fingerprint

Metabolomics
Biomarkers
Stem Cells
Brain
Metabolites
Neural Stem Cells
Stem cells
Spectrum Analysis
Spectroscopy
Magnetic resonance spectroscopy
Tissue
Modern 1601-history
Delayed Diagnosis
Neurology
Brain Diseases
Pathologic Processes
Neurosciences
Nervous System Diseases
Medicine
Environmental impact

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Biochemistry

Cite this

Maletić-Savatić, M., Vingara, L. K., Manganas, L. N., Li, Y., Zhang, S., Sierra, A., ... Pelczer, I. (2008). Metabolomics of neural progenitor cells: A novel approach to biomarker discovery. Cold Spring Harbor Symposia on Quantitative Biology, 73, 389-401. https://doi.org/10.1101/sqb.2008.73.021

Metabolomics of neural progenitor cells : A novel approach to biomarker discovery. / Maletić-Savatić, M.; Vingara, L. K.; Manganas, L. N.; Li, Y.; Zhang, S.; Sierra, A.; Hazel, R.; Smith, D.; Wagshul, Mark E.; Henn, F.; Krupp, L.; Enikolopov, G.; Benveniste, H.; Djurić, P. M.; Pelczer, I.

In: Cold Spring Harbor Symposia on Quantitative Biology, Vol. 73, 2008, p. 389-401.

Research output: Contribution to journalArticle

Maletić-Savatić, M, Vingara, LK, Manganas, LN, Li, Y, Zhang, S, Sierra, A, Hazel, R, Smith, D, Wagshul, ME, Henn, F, Krupp, L, Enikolopov, G, Benveniste, H, Djurić, PM & Pelczer, I 2008, 'Metabolomics of neural progenitor cells: A novel approach to biomarker discovery', Cold Spring Harbor Symposia on Quantitative Biology, vol. 73, pp. 389-401. https://doi.org/10.1101/sqb.2008.73.021
Maletić-Savatić, M. ; Vingara, L. K. ; Manganas, L. N. ; Li, Y. ; Zhang, S. ; Sierra, A. ; Hazel, R. ; Smith, D. ; Wagshul, Mark E. ; Henn, F. ; Krupp, L. ; Enikolopov, G. ; Benveniste, H. ; Djurić, P. M. ; Pelczer, I. / Metabolomics of neural progenitor cells : A novel approach to biomarker discovery. In: Cold Spring Harbor Symposia on Quantitative Biology. 2008 ; Vol. 73. pp. 389-401.
@article{49b10c6440d340c885e9d7cd37298d69,
title = "Metabolomics of neural progenitor cells: A novel approach to biomarker discovery",
abstract = "Finding biomarkers of human neurological diseases is one of the most pressing goals of modern medicine. Most neurological disorders are recognized too late because of the lack of biomarkers that can identify early pathological processes in the living brain. Late diagnosis leads to late therapy and poor prognosis. Therefore, during the past decade, a major endeavor of clinical investigations in neurology has been the search for diagnostic and prognostic biomarkers of brain disease. Recently, a new field of metabolomics has emerged, aiming to investigate metabolites within the cell/tissue/organism as possible biomarkers. Similarly to other {"}omics{"} fields, metabolomics offers substantial information about the status of the organism at a given time point. However, metabolomics also provides functional insight into the biochemical status of a tissue, which results from the environmental effects on its genome background. Recently, we have adopted metabolomics techniques to develop an approach that combines both in vitro analysis of cellular samples and in vivo analysis of the mammalian brain. Using proton magnetic resonance spectroscopy, we have discovered a metabolic biomarker of neural stem/progenitor cells (NPCs) that allows the analysis of these cells in the live human brain. We have developed signal-processing algorithms that can detect metabolites present at very low concentration in the live human brain and can indicate possible pathways impaired in specific diseases. Herein, we present our strategy for both cellular and systems metabolomics, based on an integrative processing of the spectroscopy data that uses analytical tools from both metabolomic and spectroscopy fields. As an example of biomarker discovery using our approach, we present new data and discuss our previous findings on the NPC biomarker. Our studies link systems and cellular neuroscience through the functions of specific metabolites. Therefore, they provide a functional insight into the brain, which might eventually lead to discoveries of clinically useful biomarkers of the disease.",
author = "M. Maletić-Savatić and Vingara, {L. K.} and Manganas, {L. N.} and Y. Li and S. Zhang and A. Sierra and R. Hazel and D. Smith and Wagshul, {Mark E.} and F. Henn and L. Krupp and G. Enikolopov and H. Benveniste and Djurić, {P. M.} and I. Pelczer",
year = "2008",
doi = "10.1101/sqb.2008.73.021",
language = "English (US)",
volume = "73",
pages = "389--401",
journal = "Cold Spring Harbor Symposia on Quantitative Biology",
issn = "0091-7451",
publisher = "Cold Spring Harbor Laboratory Press",

}

TY - JOUR

T1 - Metabolomics of neural progenitor cells

T2 - A novel approach to biomarker discovery

AU - Maletić-Savatić, M.

AU - Vingara, L. K.

AU - Manganas, L. N.

AU - Li, Y.

AU - Zhang, S.

AU - Sierra, A.

AU - Hazel, R.

AU - Smith, D.

AU - Wagshul, Mark E.

AU - Henn, F.

AU - Krupp, L.

AU - Enikolopov, G.

AU - Benveniste, H.

AU - Djurić, P. M.

AU - Pelczer, I.

PY - 2008

Y1 - 2008

N2 - Finding biomarkers of human neurological diseases is one of the most pressing goals of modern medicine. Most neurological disorders are recognized too late because of the lack of biomarkers that can identify early pathological processes in the living brain. Late diagnosis leads to late therapy and poor prognosis. Therefore, during the past decade, a major endeavor of clinical investigations in neurology has been the search for diagnostic and prognostic biomarkers of brain disease. Recently, a new field of metabolomics has emerged, aiming to investigate metabolites within the cell/tissue/organism as possible biomarkers. Similarly to other "omics" fields, metabolomics offers substantial information about the status of the organism at a given time point. However, metabolomics also provides functional insight into the biochemical status of a tissue, which results from the environmental effects on its genome background. Recently, we have adopted metabolomics techniques to develop an approach that combines both in vitro analysis of cellular samples and in vivo analysis of the mammalian brain. Using proton magnetic resonance spectroscopy, we have discovered a metabolic biomarker of neural stem/progenitor cells (NPCs) that allows the analysis of these cells in the live human brain. We have developed signal-processing algorithms that can detect metabolites present at very low concentration in the live human brain and can indicate possible pathways impaired in specific diseases. Herein, we present our strategy for both cellular and systems metabolomics, based on an integrative processing of the spectroscopy data that uses analytical tools from both metabolomic and spectroscopy fields. As an example of biomarker discovery using our approach, we present new data and discuss our previous findings on the NPC biomarker. Our studies link systems and cellular neuroscience through the functions of specific metabolites. Therefore, they provide a functional insight into the brain, which might eventually lead to discoveries of clinically useful biomarkers of the disease.

AB - Finding biomarkers of human neurological diseases is one of the most pressing goals of modern medicine. Most neurological disorders are recognized too late because of the lack of biomarkers that can identify early pathological processes in the living brain. Late diagnosis leads to late therapy and poor prognosis. Therefore, during the past decade, a major endeavor of clinical investigations in neurology has been the search for diagnostic and prognostic biomarkers of brain disease. Recently, a new field of metabolomics has emerged, aiming to investigate metabolites within the cell/tissue/organism as possible biomarkers. Similarly to other "omics" fields, metabolomics offers substantial information about the status of the organism at a given time point. However, metabolomics also provides functional insight into the biochemical status of a tissue, which results from the environmental effects on its genome background. Recently, we have adopted metabolomics techniques to develop an approach that combines both in vitro analysis of cellular samples and in vivo analysis of the mammalian brain. Using proton magnetic resonance spectroscopy, we have discovered a metabolic biomarker of neural stem/progenitor cells (NPCs) that allows the analysis of these cells in the live human brain. We have developed signal-processing algorithms that can detect metabolites present at very low concentration in the live human brain and can indicate possible pathways impaired in specific diseases. Herein, we present our strategy for both cellular and systems metabolomics, based on an integrative processing of the spectroscopy data that uses analytical tools from both metabolomic and spectroscopy fields. As an example of biomarker discovery using our approach, we present new data and discuss our previous findings on the NPC biomarker. Our studies link systems and cellular neuroscience through the functions of specific metabolites. Therefore, they provide a functional insight into the brain, which might eventually lead to discoveries of clinically useful biomarkers of the disease.

UR - http://www.scopus.com/inward/record.url?scp=68549089160&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=68549089160&partnerID=8YFLogxK

U2 - 10.1101/sqb.2008.73.021

DO - 10.1101/sqb.2008.73.021

M3 - Article

C2 - 19022759

AN - SCOPUS:68549089160

VL - 73

SP - 389

EP - 401

JO - Cold Spring Harbor Symposia on Quantitative Biology

JF - Cold Spring Harbor Symposia on Quantitative Biology

SN - 0091-7451

ER -