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Muscle Oxygen Dynamics Measured by NIRS.

Ryotaro Kime1, Tasuki Endo2,3, Shun Takagi2,4

  • 1Department of Sports Medicine for Health Promotion, Tokyo Medical University, Tokyo, Japan. zxc06104@nifty.com.

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Summary

Near-infrared spectroscopy (NIRS) measures muscle oxidative function using indicators like deoxygenation rate. Subcutaneous adipose tissue thickness and changing mean pathlength present challenges for accurate NIRS measurements during exercise.

Keywords:
Muscle NIRS indicatorMuscle oxidative functionReoxygenation speedSubcutaneous adipose tissue thickness (SATT)Wearable NIRS device

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Area of Science:

  • Physiology
  • Biomedical Engineering
  • Sports Science

Background:

  • Near-infrared spectroscopy (NIRS) has been a valuable tool for assessing skeletal muscle oxidative function for over 30 years.
  • NIRS indicators such as deoxygenation rate, changes in deoxygenation, and reoxygenation speed correlate with muscle fiber type, phosphocreatine recovery, and peak oxygen uptake.
  • NIRS has been applied to study chronic health conditions and is increasingly used with wearable devices for continuous, real-world monitoring.

Purpose of the Study:

  • To review key indicators of skeletal muscle oxidative function measured by NIRS during exercise.
  • To highlight critical challenges in accurately quantifying muscle deoxygenation using NIRS, particularly during physical activity.
  • To discuss the impact of subcutaneous adipose tissue thickness and mean pathlength variability on NIRS measurements.

Main Methods:

  • Review of established NIRS indicators for muscle oxidative function (e.g., Deoxy-rate, ΔDeoxy, T1/2 reoxy).
  • Discussion of previous findings correlating NIRS parameters with physiological markers.
  • Analysis of challenges related to subcutaneous adipose tissue thickness (SATT) and mean pathlength (MPL) variations.

Main Results:

  • NIRS indicators provide insights into muscle oxidative function and are linked to various physiological parameters.
  • Subcutaneous adipose tissue thickness (SATT) significantly influences NIRS light pathlength, complicating muscle deoxygenation quantification.
  • Assuming a constant mean pathlength (MPL) leads to inaccurate interpretations of muscle deoxygenation, especially with changing MPL during exercise.

Conclusions:

  • Accurate interpretation of NIRS-derived muscle oxidative function requires addressing the confounding effects of SATT.
  • Variability in MPL during exercise necessitates adjustments to NIRS analysis to avoid misinterpretation of deoxygenation.
  • Further refinement of NIRS methodologies is crucial for reliable, widespread application in exercise physiology and clinical settings.