Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, Virginia United States.
Biomedical Engineering Institute, Old Dominion University, Norfolk, Virginia, United States.
J Appl Physiol (1985). 2023 May 1;134(5):1063-1074. doi: 10.1152/japplphysiol.00406.2022. Epub 2023 Mar 17.
A linear relationship between skeletal muscle venous ([Formula: see text]) and oxygenated (ΔHbMbO) or deoxygenated (ΔHHbMb) near-infrared spectroscopy (NIRS) signals suggest a main hemoglobin (Hb) contribution to the NIRS signal. However, experimental, and computational evidence supports a significant contribution of myoglobin (Mb) to the NIRS. Venous and NIRS measurements from a canine model of muscle oxidative metabolism (Sun Y, Ferguson BS, Rogatzki MJ, McDonald JR, Gladden LB. 48(10):2013-2020, 2016) were integrated into a computational model of muscle O transport and utilization to evaluate whether the relationship between venous and NIRS oxygenation can be affected by a significant Mb contribution to the NIRS signals. The mathematical model predicted well the measure of the changes of [Formula: see text] and NIRS signals for different O delivery conditions (blood flow, arterial O content) in muscle at rest (T1, T2) and during contraction (T3). Furthermore, computational analysis indicates that for adequate O delivery, Mb contribution to NIRS signals was significant (20%-30%) even in the presence of a linear [Formula: see text]-NIRS relationship; for a reduced O delivery the nonlinearity of the [Formula: see text]-NIRS relationship was related to the Mb contribution (50%). In this case (T3), the deviation from linearity is observed when O delivery is reduced from 1.3 to 0.7 L kg·min ([Formula: see text] < 10 mLO 100 mL) and Mb saturation decreased from 85% to 40% corresponding to an increase of the Mb contribution to ΔHHbMb from 15% to 50% and the contribution to ΔHbMbO from 0% to 30%. In contrast to a common assumption, our model indicates that both NIRS signals (ΔHHbMb and ΔHbMbO are significantly affected by Hb and Mb oxygenation changes. Within the near-infrared spectroscopy (NIRS) signal, the contribution from hemoglobin is indistinguishable from that of myoglobin. A computation analysis indicates that a linear relationship between muscle venous oxygen content and NIRS signals does not necessarily indicate a negligible myoglobin contribution to the NIRS signal. A reduced oxygen delivery increases the myoglobin contribution to the NIRS signal. The integrative approach proposed is a powerful way to assist in interpreting the elements from which the NIRS signals are derived.
静脉血 ([Formula: see text]) 和氧合 (ΔHbMbO) 或去氧 (ΔHHbMb) 近红外光谱 (NIRS) 信号之间的线性关系表明血红蛋白 (Hb) 对 NIRS 信号有主要贡献。然而,实验和计算证据支持肌红蛋白 (Mb) 对 NIRS 有重要贡献。对肌肉氧化代谢犬模型的静脉和 NIRS 测量结果(Sun Y、Ferguson BS、Rogatzki MJ、McDonald JR、Gladden LB. 48(10):2013-2020, 2016)被整合到肌肉 O 运输和利用的计算模型中,以评估 Mb 对 NIRS 信号的显著贡献是否会影响静脉血和 NIRS 氧合之间的关系。该数学模型很好地预测了在休息 (T1、T2) 和收缩 (T3) 期间,不同的 O 输送条件(血流、动脉 O 含量)下 [Formula: see text] 和 NIRS 信号的变化。此外,计算分析表明,对于足够的 O 输送,即使在存在线性 [Formula: see text]-NIRS 关系的情况下,Mb 对 NIRS 信号的贡献也是显著的(20%-30%);对于减少的 O 输送,[Formula: see text]-NIRS 关系的非线性与 Mb 贡献有关(50%)。在这种情况下(T3),当 O 输送从 1.3 减少到 0.7 L kg·min ([Formula: see text] < 10 mLO 100 mL) 时,从 85%减少到 40%时,Hb 饱和度降低,这与 Mb 对 ΔHHbMb 的贡献从 15%增加到 50%和对 ΔHbMbO 的贡献从 0%增加到 30%相对应。与常见的假设相反,我们的模型表明,两种 NIRS 信号(ΔHHbMb 和 ΔHbMbO)都受到 Hb 和 Mb 氧合变化的显著影响。在近红外光谱 (NIRS) 信号中,血红蛋白的贡献与肌红蛋白的贡献无法区分。计算分析表明,肌肉静脉血氧含量与 NIRS 信号之间的线性关系并不一定表明 NIRS 信号中肌红蛋白的贡献可以忽略不计。减少氧输送会增加 NIRS 信号中肌红蛋白的贡献。所提出的综合方法是一种有力的方法,可以帮助解释 NIRS 信号的组成元素。