Exhaled propofol monitoring for plasma drug prediction in rats

While propofol can be detected in exhaled breath in rats, robust evidence supporting its correlation with plasma concentrations or its use in predicting plasma levels remains lacking. In this study, eighteen mechanically ventilated rats were divided into three groups and injected with low (Group BL, <i>n</i> = 6), medium (Group BM, <i>n</i> = 6), or high (Group BH, <i>n</i> = 6) doses of propofol. The propofol concentration in exhaled breath (Ce-pro) was determined online using vacuum ultraviolet time-of-flight mass spectrometry (VUV-TOF MS), while the propofol concentration in plasma (Cp-pro) were measured using high-performance liquid chromatograph. The results indicated that after propofol injection, the peak Ce-pro was 5.87 ± 1.67 ppbv, 16.54 ± 7.22 ppbv, and 25.40 ± 3.68 ppbv, respectively. Across the different dose groups, C<sub>max</sub> of Ce-pro and Cp-pro were linearly correlated (<i>P</i> <sub>BL</sub> = 0.032, <i>P</i> <sub>BM</sub> = 0.031, <i>P</i> <sub>BH</sub> = 0.049). T<sub>max</sub> of Ce-pro was 1.22 ± 0.17 min, 1.28 ± 0.13 min, and 1.33 ± 0.01 min, respectively (<i>P</i> = 0.341), similar to the T<sub>max</sub> of Cp-pro (1.00 ± 0.00 min). After natural logarithm transformation, the correlation between LN(Ce-pro) and LN(Cp-pro) was well fitted by a linear model, with <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mi>R</mml:mi> <mml:mrow><mml:mi>B</mml:mi> <mml:mi>L</mml:mi></mml:mrow> <mml:mn>2</mml:mn></mml:msubsup> </mml:mrow> </mml:math> = 0.94, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mi>R</mml:mi> <mml:mrow><mml:mi>B</mml:mi> <mml:mi>M</mml:mi></mml:mrow> <mml:mn>2</mml:mn></mml:msubsup> </mml:mrow> </mml:math> = 0.95, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mi>R</mml:mi> <mml:mrow><mml:mi>B</mml:mi> <mml:mi>H</mml:mi></mml:mrow> <mml:mn>2</mml:mn></mml:msubsup> </mml:mrow> </mml:math> = 0.98, and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mi>R</mml:mi> <mml:mrow><mml:mi>A</mml:mi> <mml:mi>L</mml:mi> <mml:mi>L</mml:mi></mml:mrow> <mml:mn>2</mml:mn></mml:msubsup> </mml:mrow> </mml:math> = 0.96. Using the obtained regression equation LN(Cp-pro) = 1.42<sup>*</sup>LN(Ce-pro)-1.70, the predicted Cp-pro values showed excellent agreement with the actual values within groups (ICC<sub>BL</sub> = 0.92; ICC<sub>BM</sub> = 0.97, ICC<sub>BH</sub> = 0.99, all <i>P</i> < 0.001). This study demonstrates a strong correlation between exhaled and plasma propofol concentrations in rats, indicating that exhaled concentrations can be effectively used to estimate plasma levels.

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Journal
Frontiers in Veterinary Science
Published
2025-02-12
DOI
https://doi.org/10.3389/fvets.2025.1540413
Citations
1
Primary Topic
Advanced Chemical Sensor Technologies
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article
Field-Weighted Citation Impact
0.67

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article

Exhaled propofol monitoring for plasma drug prediction in rats

Yi Kang, Zhongjun Zhao, Wensheng Zhang, Xiaoxiao Li et al.
1 citations
Frontiers in Veterinary Science
Advanced Chemical Sensor Technologies
0.67
article

Exhaled propofol monitoring for plasma drug prediction in rats

Yi Kang, Zhongjun Zhao, Wensheng Zhang, Xiaoxiao Li, Pan Chang, Xing Liu, Yixiang Duan
article en
1 citations

Abstract

While propofol can be detected in exhaled breath in rats, robust evidence supporting its correlation with plasma concentrations or its use in predicting plasma levels remains lacking. In this study, eighteen mechanically ventilated rats were divided into three groups and injected with low (Group BL, <i>n</i> = 6), medium (Group BM, <i>n</i> = 6), or high (Group BH, <i>n</i> = 6) doses of propofol. The propofol concentration in exhaled breath (Ce-pro) was determined online using vacuum ultraviolet time-of-flight mass spectrometry (VUV-TOF MS), while the propofol concentration in plasma (Cp-pro) were measured using high-performance liquid chromatograph. The results indicated that after propofol injection, the peak Ce-pro was 5.87 ± 1.67 ppbv, 16.54 ± 7.22 ppbv, and 25.40 ± 3.68 ppbv, respectively. Across the different dose groups, C<sub>max</sub> of Ce-pro and Cp-pro were linearly correlated (<i>P</i> <sub>BL</sub> = 0.032, <i>P</i> <sub>BM</sub> = 0.031, <i>P</i> <sub>BH</sub> = 0.049). T<sub>max</sub> of Ce-pro was 1.22 ± 0.17 min, 1.28 ± 0.13 min, and 1.33 ± 0.01 min, respectively (<i>P</i> = 0.341), similar to the T<sub>max</sub> of Cp-pro (1.00 ± 0.00 min). After natural logarithm transformation, the correlation between LN(Ce-pro) and LN(Cp-pro) was well fitted by a linear model, with <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mi>R</mml:mi> <mml:mrow><mml:mi>B</mml:mi> <mml:mi>L</mml:mi></mml:mrow> <mml:mn>2</mml:mn></mml:msubsup> </mml:mrow> </mml:math> = 0.94, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mi>R</mml:mi> <mml:mrow><mml:mi>B</mml:mi> <mml:mi>M</mml:mi></mml:mrow> <mml:mn>2</mml:mn></mml:msubsup> </mml:mrow> </mml:math> = 0.95, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mi>R</mml:mi> <mml:mrow><mml:mi>B</mml:mi> <mml:mi>H</mml:mi></mml:mrow> <mml:mn>2</mml:mn></mml:msubsup> </mml:mrow> </mml:math> = 0.98, and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mi>R</mml:mi> <mml:mrow><mml:mi>A</mml:mi> <mml:mi>L</mml:mi> <mml:mi>L</mml:mi></mml:mrow> <mml:mn>2</mml:mn></mml:msubsup> </mml:mrow> </mml:math> = 0.96. Using the obtained regression equation LN(Cp-pro) = 1.42<sup>*</sup>LN(Ce-pro)-1.70, the predicted Cp-pro values showed excellent agreement with the actual values within groups (ICC<sub>BL</sub> = 0.92; ICC<sub>BM</sub> = 0.97, ICC<sub>BH</sub> = 0.99, all <i>P</i> < 0.001). This study demonstrates a strong correlation between exhaled and plasma propofol concentrations in rats, indicating that exhaled concentrations can be effectively used to estimate plasma levels.

Frontiers in Veterinary ScienceVol. 12
Sichuan University (CN), West China Hospital of Sichuan University (CN)
Sichuan Province Science and Technology Support Program
Good health and well-being
Openalex Percentile: Top 35%
Advanced Chemical Sensor Technologies
0.67
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