Normal variations in brain oxygen extraction fraction are partly attributed to differences in end-tidal CO2
Normal variations in brain oxygen extraction fraction are partly attributed to differences in end-tidal CO2
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DOI：
10.1177/0271678x19867154
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发表时间：
2019-08-05
影响因子：
6.3
通讯作者：
Lu, Hanzhang
中科院分区：
文献类型：
--
作者：
Jiang, Dengrong;Lin, Zixuan;Lu, Hanzhang
脑氧摄取分数是脑氧消耗和供应的重要生理指标，并且已被认为是许多疾病如中风、阿尔茨海默病、多发性硬化、镰状细胞病和代谢紊乱的潜在生物标志物。然而，为了使氧提取分数成为个性化疾病诊断的敏感生物标志物，必须最小化或考虑正常受试者中的受试者间差异，否则这将使其解释模糊。因此，有必要研究氧提取分数正常差异的生理基础。这项工作使用了两项研究，一项发现研究和一项验证研究，以检查在何种程度上个人的潮气末二氧化碳可以解释氧提取分数的变化。结果发现，在正常受试者中，氧提取分数与潮气末CO2呈负相关。约50%的氧提取分数的受试者间差异可归因于潮气末CO2差异。此外，氧提取分数与年龄和收缩压呈正相关。通过考虑受试者的潮气末CO2、年龄和收缩压，氧提取分数的正常变化可以减少73%，预计这将大大提高氧提取分数作为疾病生物标志物的效用。
Cerebral oxygen extraction fraction is an important physiological index of the brain's oxygen consumption and supply and has been suggested to be a potential biomarker for a number of diseases such as stroke, Alzheimer's disease, multiple sclerosis, sickle cell disease, and metabolic disorders. However, in order for oxygen extraction fraction to be a sensitive biomarker for personalized disease diagnosis, inter-subject variations in normal subjects must be minimized or accounted for, which will otherwise obscure its interpretation. Therefore, it is essential to investigate the physiological underpinnings of normal differences in oxygen extraction fraction. This work used two studies, one discovery study and one verification study, to examine the extent to which an individual's end-tidal CO2 can explain variations in oxygen extraction fraction. It was found that, across normal subjects, oxygen extraction fraction is inversely correlated with end-tidal CO2. Approximately 50% of the inter-subject variations in oxygen extraction fraction can be attributed to end-tidal CO2 differences. In addition, oxygen extraction fraction was found to be positively associated with age and systolic blood pressure. By accounting for end-tidal CO2, age, and systolic blood pressure of the subjects, normal variations in oxygen extraction fraction can be reduced by 73%, which is expected to substantially enhance the utility of oxygen extraction fraction as a disease biomarker.