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Modelling of mitochondrial oxygen consumption and NIRS detection of cytochrome oxidase redox state

In recent years there has been widespread use of near infrared spectroscopy (NIRS) to monitor the brain. The signals of interest include changes in the levels of oxygenated and deoxygenated haemoglobin and tissue oxygen saturation. In addition to oxy- and deoxy-haemoglobin, the Cu(A) centre in cytoc...

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Autores principales: Banaji, Murad, Mallet, Alfred, Elwell, Clare E., Nicholls, Peter, Tachtsidis, Ilias, Smith, Martin, Cooper, Chris E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038019/
https://www.ncbi.nlm.nih.gov/pubmed/20204805
http://dx.doi.org/10.1007/978-1-4419-1241-1_41
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author Banaji, Murad
Mallet, Alfred
Elwell, Clare E.
Nicholls, Peter
Tachtsidis, Ilias
Smith, Martin
Cooper, Chris E.
author_facet Banaji, Murad
Mallet, Alfred
Elwell, Clare E.
Nicholls, Peter
Tachtsidis, Ilias
Smith, Martin
Cooper, Chris E.
author_sort Banaji, Murad
collection PubMed
description In recent years there has been widespread use of near infrared spectroscopy (NIRS) to monitor the brain. The signals of interest include changes in the levels of oxygenated and deoxygenated haemoglobin and tissue oxygen saturation. In addition to oxy- and deoxy-haemoglobin, the Cu(A) centre in cytochrome-c-oxidase (CCO) is a significant NIR absorber, giving rise to another signal termed the ΔoxCCO signal. This signal has great potential as a marker of cellular oxygen metabolism, but is also the hardest to interpret. Here we use a recently constructed model to predict NIRS signal changes, and compare the model output to data from an in vivo hypoxia study in healthy adults. Our findings indicate strongly that the ΔoxCCO signal contains useful information despite the noise, and has responses consistent with the known physiology.
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spelling pubmed-40380192014-06-02 Modelling of mitochondrial oxygen consumption and NIRS detection of cytochrome oxidase redox state Banaji, Murad Mallet, Alfred Elwell, Clare E. Nicholls, Peter Tachtsidis, Ilias Smith, Martin Cooper, Chris E. Adv Exp Med Biol Article In recent years there has been widespread use of near infrared spectroscopy (NIRS) to monitor the brain. The signals of interest include changes in the levels of oxygenated and deoxygenated haemoglobin and tissue oxygen saturation. In addition to oxy- and deoxy-haemoglobin, the Cu(A) centre in cytochrome-c-oxidase (CCO) is a significant NIR absorber, giving rise to another signal termed the ΔoxCCO signal. This signal has great potential as a marker of cellular oxygen metabolism, but is also the hardest to interpret. Here we use a recently constructed model to predict NIRS signal changes, and compare the model output to data from an in vivo hypoxia study in healthy adults. Our findings indicate strongly that the ΔoxCCO signal contains useful information despite the noise, and has responses consistent with the known physiology. Springer 2010 /pmc/articles/PMC4038019/ /pubmed/20204805 http://dx.doi.org/10.1007/978-1-4419-1241-1_41 Text en
spellingShingle Article
Banaji, Murad
Mallet, Alfred
Elwell, Clare E.
Nicholls, Peter
Tachtsidis, Ilias
Smith, Martin
Cooper, Chris E.
Modelling of mitochondrial oxygen consumption and NIRS detection of cytochrome oxidase redox state
title Modelling of mitochondrial oxygen consumption and NIRS detection of cytochrome oxidase redox state
title_full Modelling of mitochondrial oxygen consumption and NIRS detection of cytochrome oxidase redox state
title_fullStr Modelling of mitochondrial oxygen consumption and NIRS detection of cytochrome oxidase redox state
title_full_unstemmed Modelling of mitochondrial oxygen consumption and NIRS detection of cytochrome oxidase redox state
title_short Modelling of mitochondrial oxygen consumption and NIRS detection of cytochrome oxidase redox state
title_sort modelling of mitochondrial oxygen consumption and nirs detection of cytochrome oxidase redox state
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038019/
https://www.ncbi.nlm.nih.gov/pubmed/20204805
http://dx.doi.org/10.1007/978-1-4419-1241-1_41
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