TY - JOUR
T1 - Normal variations in brain oxygen extraction fraction are partly attributed to differences in end-tidal CO2
AU - Jiang, Dengrong
AU - Lin, Zixuan
AU - Liu, Peiying
AU - Sur, Sandeepa
AU - Xu, Cuimei
AU - Hazel, Kaisha
AU - Pottanat, George
AU - Yasar, Sevil
AU - Rosenberg, Paul
AU - Albert, Marilyn
AU - Lu, Hanzhang
N1 - Publisher Copyright:
© The Author(s) 2019.
PY - 2020/7/1
Y1 - 2020/7/1
N2 - 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.
AB - 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.
KW - Oxygen extraction fraction
KW - T-Relaxation-Under-Spin-Tagging
KW - end-tidal CO
KW - variation
KW - venous oxygenation
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U2 - 10.1177/0271678X19867154
DO - 10.1177/0271678X19867154
M3 - Article
C2 - 31382788
AN - SCOPUS:85071129194
SN - 0271-678X
VL - 40
SP - 1492
EP - 1500
JO - Journal of Cerebral Blood Flow and Metabolism
JF - Journal of Cerebral Blood Flow and Metabolism
IS - 7
ER -