Literature DB >> 17650380

Wavelength shift analysis: a simple method to determine the contribution of hemoglobin and myoglobin to in vivo optical spectra.

David J Marcinek1, Catherine E Amara, Kimberly Matz, Kevin E Conley, Kenneth A Schenkman.   

Abstract

The ability to quantify the contributions of hemoglobin (Hb) and myoglobin (Mb) to in vivo optical spectra has many applications for clinical and research use such as noninvasive measurement of local tissue O(2) uptake rates and regional blood content. Recent work has demonstrated an approach to independently measure oxygen saturations of Hb and Mb in optical spectra collected in vivo. However, the utility of this approach is limited without information on tissue concentrations of these species. Here we describe a strategy to quantify the contributions of Hb and Mb to in vivo optical spectra. We have found that the peak position of the deoxy-heme peak around 760 nm in the optical spectra of the deoxygenated tissue is a linear function of the relative contributions of Hb and Mb to the optical spectra. Therefore, analysis of this peak position, hereafter referred to as wavelength shift analysis, reveals the relative concentration of Hb to Mb in solutions and intact tissue. Biochemical analysis of muscle homogenates confirmed that the wavelength shift of the combined Hb/Mb peak in in vivo spectra reflects the ratio of concentrations (Hb/Mb) in muscle. The importance of quantifying the Hb contribution is illustrated by our data demonstrating that Hb accounts for approximately 80% of the optical signal in mouse skeletal muscle but only approximately 20% in human skeletal muscle. This advance will facilitate comparison of the metabolic properties between individual muscles and provides a fully noninvasive approach to measuring local respiration that can be adapted for clinical use.

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Year:  2007        PMID: 17650380     DOI: 10.1366/000370207781269819

Source DB:  PubMed          Journal:  Appl Spectrosc        ISSN: 0003-7028            Impact factor:   2.388


  17 in total

1.  Near infrared spectroscopy-derived interstitial hydrogen ion concentration and tissue oxygen saturation during ambulation.

Authors:  Stuart M C Lee; Mark S F Clarke; Daniel P O'Connor; Leah Stroud; Gwenn E C Ellerby; Babs R Soller
Journal:  Eur J Appl Physiol       Date:  2011-01-07       Impact factor: 3.078

2.  Modeling oxygenation in venous blood and skeletal muscle in response to exercise using near-infrared spectroscopy.

Authors:  Nicola Lai; Haiying Zhou; Gerald M Saidel; Martin Wolf; Kevin McCully; L Bruce Gladden; Marco E Cabrera
Journal:  J Appl Physiol (1985)       Date:  2009-04-02

3.  Noninvasive evaluation of skeletal muscle mitochondrial capacity with near-infrared spectroscopy: correcting for blood volume changes.

Authors:  Terence E Ryan; Melissa L Erickson; Jared T Brizendine; Hui-Ju Young; Kevin K McCully
Journal:  J Appl Physiol (1985)       Date:  2012-05-10

4.  The use of skeletal muscle near infrared spectroscopy and a vascular occlusion test at high altitude.

Authors:  Daniel S Martin; Denny Z H Levett; Rick Bezemer; Hugh E Montgomery; Mike P W Grocott
Journal:  High Alt Med Biol       Date:  2013-09       Impact factor: 1.981

5.  Characterizing near-infrared spectroscopy responses to forearm post-occlusive reactive hyperemia in healthy subjects.

Authors:  Christopher M Bopp; Dana K Townsend; Thomas J Barstow
Journal:  Eur J Appl Physiol       Date:  2011-03-16       Impact factor: 3.078

6.  Rebuttal from Eugene J. Barrett, Michelle A. Keske, Stephen Rattigan and Etto C. Eringa.

Authors:  Eugene J Barrett; Michelle A Keske; Stephen Rattigan; Etto C Eringa
Journal:  J Physiol       Date:  2014-12-01       Impact factor: 5.182

Review 7.  Review of early development of near-infrared spectroscopy and recent advancement of studies on muscle oxygenation and oxidative metabolism.

Authors:  Takafumi Hamaoka; Kevin K McCully
Journal:  J Physiol Sci       Date:  2019-07-29       Impact factor: 2.781

8.  Quantifying the effect of adipose tissue in muscle oximetry by near infrared spectroscopy.

Authors:  Nassim Nasseri; Stefan Kleiser; Daniel Ostojic; Tanja Karen; Martin Wolf
Journal:  Biomed Opt Express       Date:  2016-10-17       Impact factor: 3.732

9.  Comparative NMR and NIRS analysis of oxygen-dependent metabolism in exercising finger flexor muscles.

Authors:  David Bendahan; Benjamin Chatel; Thomas Jue
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2017-09-06       Impact factor: 3.619

10.  Oxygen delivery and the restoration of the muscle energetic balance following exercise: implications for delayed muscle recovery in patients with COPD.

Authors:  Gwenael Layec; Corey R Hart; Joel D Trinity; Oh-Sung Kwon; Matthew J Rossman; Ryan M Broxterman; Yann Le Fur; Eun-Kee Jeong; Russell S Richardson
Journal:  Am J Physiol Endocrinol Metab       Date:  2017-03-14       Impact factor: 4.310

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