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ORIGINAL RESEARCH article

Front. Physiol.

Sec. Computational Physiology and Medicine

Volume 16 - 2025 | doi: 10.3389/fphys.2025.1528519

Quantifying Ventilatory Control with 3% CO2 Inhalation During Exercise

Provisionally accepted
  • 1 University of Southern California, Los Angeles, United States
  • 2 Toyota National College of Technology, Toyota, Aichi, Japan
  • 3 Graduate School of Health and Sport Sciences, Chukyo University, Toyota, Aichi, Japan

The final, formatted version of the article will be published soon.

    Introduction: CO2 mediated ventilation is mainly controlled by two homeostatic mechanisms.The central chemoreceptors are slower mechanisms that focus on blood pH sensing in the brain stem while the peripheral chemoreceptors are quicker to respond and reside in the carotid bodies.Quantification of these mechanisms in humans remain debated.Objective: To quantify the impact that the central and peripheral chemoreceptors have on ventilation in response to changes in PETCO2 during exercise with normoxic breathing and 3% CO2 inhalation.Method: Six healthy males participated in a 5-stage bike protocol with and without 3% CO2 inhalation. We analyzed the time series data of their breath-by-breath PETCO2 and ventilation and generated a one inputone output model via the Laguerre expansion technique (LET) to construct the gain function and quantify the low (0.002 to 0.029 Hz) and high (0.03 to 0.15 Hz) frequency components using the weighted gain averages (WGA) as estimators of central and peripheral chemoreflex mechanisms respectively.Results: 3% CO2 inhalation caused a significant increase the high frequency WGAs at rest and in all levels of exercise except heavy exercise. The low frequency WGAs, however, only maintain significance during rest and the baseline session of exercise.Changes in WGA can be used as quantitative estimates of central and peripheral chemoreflexes. 3% CO2 activates both reflexes and is more apparent in the higher frequency WGAs during exercise due to the oxygen dependent mechanisms effects of exercise.

    Keywords: Exercise ventilatory response, Hypercapnic ventilatory response, Dynamic modeling and analysis, LTI system identification, End tidal capnometry (EtCO2)

    Received: 15 Nov 2024; Accepted: 04 Apr 2025.

    Copyright: © 2025 Hashem, Yamashiro, Kato, Matsumoto and Marmarelis. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Suhaib Mustafa Hashem, University of Southern California, Los Angeles, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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