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Exhaled breath compositions under varying respiratory rhythms reflects ventilatory variations: translating breathomics towards respiratory medicine

机译:各种呼吸节律下的呼出呼气组合物反映了通风变化:将呼吸呼吸呼吸转化为呼吸系统

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Control of breathing is automatic and its regulation is keen to autonomic functions. Therefore, involuntary and voluntary nervous regulation of breathing affects ventilatory variations, which has profound potential to address expanding challenges in contemporary pulmonology. Nonetheless, the fundamental attributes of the aforementioned phenomena are rarely understood and/or investigated. Implementation of unconventional approach like breathomics may leads to a?better comprehension of those complexities in respiratory medicine. We applied breath-resolved spirometry and capnometry, non-invasive hemodynamic monitoring along with continuous trace analysis of exhaled VOCs (volatile organic compounds) by means of real-time mass-spectrometry in 25 young and healthy adult humans to investigate any possible mirroring of instant ventilatory variations by exhaled breath composition, under varying respiratory rhythms. Hemodynamics remained unaffected. Immediate changes in measured breath compositions and corresponding variations occurred when respiratory rhythms were switched between spontaneous (involuntary/unsynchronised) and/or paced (voluntary/synchronised) breathing. Such changes in most abundant, endogenous and bloodborne VOCs were closely related to the minute ventilation and end-tidal CO2 exhalation. Unprecedentedly, while preceded by a paced rhythm, spontaneous rhythms in both independent setups became reproducible with significantly (P-value?≤?0.005) low intra- and inter-individual variation in measured parameters. We modelled breath-resolved ventilatory variations via alveolar isoprene exhalation, which were independently validated with unequivocal precision. Reproducibility i.e. attained via our method would be reliable for human breath sampling, concerning biomarker research. Thus, we may realize the actual metabolic and pathophysiological expressions beyond the everlasting in vivo physiological noise. Consequently, less pronounced changes are often misinterpreted as disease biomarker in cross-sectional studies. We have also provided novel information beyond conventional spirometry and capnometry. Upon clinical translations, our findings will have immense impact on pulmonology and breathomics as they have revealed a reproducible pattern of ventilatory variations and respiratory homeostasis in endogenous VOC exhalations.
机译:呼吸控制是自动的,其调节热衷于自主功能。因此,呼吸的不自愿和自愿神经调节会影响通风变化,这具有深远的潜力,以解决当代肺系统的扩大挑战。尽管如此,上述现象的基本属性很少被理解和/或调查。实施令人叹为观因素的非常规方法可能会导致更好地理解这些复杂性的呼吸系统。我们施加呼吸分辨的肺炎和脑谱仪,无侵入性血液动力学监测以及通过在25个年轻和健康的成年人中的实时质谱法通过实时质谱分析呼出的VOC(挥发性有机化合物),以研究即时的任何可能的镜像呼气呼吸组合物的通风变化,在不同的呼吸节律下。血流动力学仍未受到影响。测量的呼吸组合物的即时变化和相应的变化发生,当呼吸节律在自发(非自愿/非同步)和/或HAPED(自愿/同步)呼吸之间切换时发生。大多数丰富,内源性和血腥VOC的这种变化与微小通风和末端二氧化碳呼气密切相关。前所未有的,虽然在PAPED节奏之前,两个独立设置中的自发节律变得可重复(p值?≤≤005)测量参数中的低内单个间变化。我们通过肺泡异戊二烯呼气建模呼吸分辨的通风变化,其独立验证了不确定的精度。再现性即,通过我们的方法获得对人体呼吸抽样的可靠性,关于生物标志物研究。因此,我们可以实现超出体内生理噪声的永久性的实际代谢和病理生理学表达。因此,较少明显的变化通常被误解为横截面研究中的疾病生物标志物。我们还提供了超出常规肺活量测定和谱系的新信息。在临床翻译后,我们的研究结果将对肺部和呼吸组织产生巨大影响,因为它们揭示了内源性VOC呼气中的透气变化和呼吸稳态的可重复模式。

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