大鼠全身炎症期间通气模式变异性和心通气耦合的动态变化。

Frontiers in network physiology Pub Date : 2023-07-31 eCollection Date: 2023-01-01 DOI:10.3389/fnetp.2023.1038531
Cara K Campanaro, David E Nethery, Fei Guo, Farhad Kaffashi, Kenneth A Loparo, Frank J Jacono, Thomas E Dick, Yee-Hsee Hsieh
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引用次数: 0

摘要

介绍:常见生理信号的生物计量学可反映健康状况。我们开发了分析方法来测量通气模式变异性(VPV,非线性复杂性指数(NLCI),可量化与吸气和呼气相关的连续波形的可预测性)和心肺通气耦合(CVC,呼气时最后一次心跳在下一次吸气前的首选潜伏期发生的趋势)的可预测性。我们假设,VPV 和 CVC 的测量值对内毒素血症的发展很敏感,而内毒素血症会诱发神经炎症。研究方法我们给 Sprague Dawley 雄性大鼠植入了血压传感器以监测动脉血压,并使用全身血压计和血压传感器接收器同时记录通气波形和血压。基线(BSLN)记录后,我们连续3天腹腔注射脂多糖(LPS,n = 8)或磷酸盐缓冲盐水(PBS,n = 3)。我们在注射后的4-6小时内进行记录,每小时选取3个epochs,分析VPV和CVC以及心率变异性(HRV)。结果:首先,不同大鼠对败血症的反应不同,但在大鼠体内,NLCI、CVC以及呼吸频率(fR)、心率、血压和心率变异的重复测量变异系数较低(讨论:我们的研究结果表明,NLCI 反映了全身注射 LPS 引起的大鼠健康状况的变化,并反映在 HR 和 fR 的增加上。在实验过程中,CVC 有所下降。我们的结论是,NLCI 反映了通气波形可预测性的增加,(与我们之前的工作相结合)可能反映了炎症细胞因子对呼吸网络的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Dynamics of ventilatory pattern variability and Cardioventilatory Coupling during systemic inflammation in rats.

Dynamics of ventilatory pattern variability and Cardioventilatory Coupling during systemic inflammation in rats.

Dynamics of ventilatory pattern variability and Cardioventilatory Coupling during systemic inflammation in rats.

Dynamics of ventilatory pattern variability and Cardioventilatory Coupling during systemic inflammation in rats.

Introduction: Biometrics of common physiologic signals can reflect health status. We have developed analytics to measure the predictability of ventilatory pattern variability (VPV, Nonlinear Complexity Index (NLCI) that quantifies the predictability of a continuous waveform associated with inhalation and exhalation) and the cardioventilatory coupling (CVC, the tendency of the last heartbeat in expiration to occur at preferred latency before the next inspiration). We hypothesized that measures of VPV and CVC are sensitive to the development of endotoxemia, which evoke neuroinflammation. Methods: We implanted Sprague Dawley male rats with BP transducers to monitor arterial blood pressure (BP) and recorded ventilatory waveforms and BP simultaneously using whole-body plethysmography in conjunction with BP transducer receivers. After baseline (BSLN) recordings, we injected lipopolysaccharide (LPS, n = 8) or phosphate buffered saline (PBS, n =3) intraperitoneally on 3 consecutive days. We recorded for 4-6 h after the injection, chose 3 epochs from each hour and analyzed VPV and CVC as well as heart rate variability (HRV). Results: First, the responses to sepsis varied across rats, but within rats the repeated measures of NLCI, CVC, as well as respiratory frequency (fR), HR, BP and HRV had a low coefficient of variation, (<0.2) at each time point. Second, HR, fR, and NLCI increased from BSLN on Days 1-3; whereas CVC decreased on Days 2 and 3. In contrast, changes in BP and the relative low-(LF) and high-frequency (HF) of HRV were not significant. The coefficient of variation decreased from BSLN to Day 3, except for CVC. Interestingly, NLCI increased before fR in LPS-treated rats. Finally, we histologically confirmed lung injury, systemic inflammation via ELISA and the presence of the proinflammatory cytokine, IL-1β, with immunohistochemistry in the ponto-medullary respiratory nuclei. Discussion: Our findings support that NLCI reflects changes in the rat's health induced by systemic injection of LPS and reflected in increases in HR and fR. CVC decreased over the course to the experiment. We conclude that NLCI reflected the increase in predictability of the ventilatory waveform and (together with our previous work) may reflect action of inflammatory cytokines on the network generating respiration.

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