Effects of Obesity, Blood Pressure, and Blood Metabolic Biomarkers on Grey Matter Brain Healthcare Quotient: A Large Cohort Study of a Magnetic Resonance Imaging Brain Screening System in Japan.
Keita WatanabeShingo KakedaKiyotaka NemotoKeiichi OnodaShuhei YamaguchiShotai KobayashiYoshinori YamakawaPublished in: Journal of clinical medicine (2022)
This study investigated the relationship between grey matter (GM) volume and blood biomarkers, blood pressure, and obesity. We aimed to elucidate lifestyle factors that promote GM volume loss. A total of 1799 participants underwent the brain dock as a medical checkup. Data regarding blood pressure, obesity measurements, and standard blood biomarkers were obtained. Further, brain magnetic resonance imaging (MRI), including high-resolution T1-weighted imaging, was performed. We calculated the grey matter brain healthcare quotient (GM-BHQ), which represents GM volume as a deviation value. After adjusting for confounding variables, multiple regression analysis revealed that body mass index (BMI) ( b = -0.28, p < 0.001), gamma-glutamyltransferase (γ-GTP) ( b = -0.01, p = 0.16), and fasting blood glucose ( b = -0.02, p = 0.049) were significantly correlated with GM-BHQ. Although the current cross-sectional study cannot determine a cause-and-effect relationship, elevated BMI, γ-GTP, and fasting blood glucose could promote GM volume loss.
Keyphrases
- blood glucose
- white matter
- blood pressure
- magnetic resonance imaging
- healthcare
- body mass index
- weight gain
- insulin resistance
- resting state
- metabolic syndrome
- high resolution
- glycemic control
- weight loss
- type diabetes
- contrast enhanced
- multiple sclerosis
- computed tomography
- cerebral ischemia
- heart rate
- high fat diet induced
- physical activity
- magnetic resonance
- hypertensive patients
- cardiovascular disease
- single cell
- machine learning
- liquid chromatography
- subarachnoid hemorrhage
- data analysis