bioRxivNeurosciencePreprint
Brain glucose metabolism and ageing: A 5-year longitudinal study in a large PET cohort
Kyoungjune PakiD, Tuulia MaléniD, Severi SantavirtaiD, Seunghyeon ShiniD, Hyun-Yeol Nam, Sven De MæyeriD, Lauri NummenmaaiD
Abstract
BackgroundAgeing and clinical factors impact brain glucose metabolism. However, there is a substantial variation of the reported effects on brain glucose metabolism across studies due to the limited statistical power and cross-sectional study designs. MethodsWe retrospectively analyzed data from 441 healthy males (mean 42.8, range 38-50 years) who underwent health check-up program twice at baseline and 5-year follow-up. Health check-up program included 1) brain 18F-Fluorodeoxyglucose (FDG) positron emission tomography (PET), 2) anthropometric and body composition measurements, 3) blood samples, and 4) questionnaires for stress and depression. After spatial normalization of brain FDG PET scans, standardized uptake value ratio (SUVR) was measured from 12 region-of-interests. We used hierarchical clustering analysis to reduce their dimensionality before the Bayesian hierarchical modelling. Five clusters were established for predicting regional SUVR; 1) metabolic cluster (body mass index, waist-to-hip ratio, fat percentage, muscle percentage, homeostatic model assessment index-insulin resistance), 2) blood pressure (systolic, diastolic), 3) glucose (fasting plasma glucose level, HbA1c), 4): psychological cluster (stress, depression), and 5) heart rate. The effects of clinical variable clusters on regional SUVR were investigated using Bayesian hierarchical modelling with brms that applies the Markov-Chain Monte Carlo sampling tools. ResultsAll the clinical variables except depression changed during the 5-year follow-up. SUVR decreased in caudate, cingulate, frontal lobe and parietal lobe and increased in cerebellum, hippocampus, occipital lobe, pallidum, putamen, temporal lobe and thalamus. SUVRs of thalamus, pallidum, hippocampus, putamen and parietal lobe were negatively associated with metabolic cluster and the effects of glucose on SUVRs varied across regions. SUVRs of thalamus, hippocampus, cingulate, cerebellum increased and those with occipital lobe decreased with heart rate. The effects of blood pressure and psychological cluster markedly overlapped with zero across regions. ConclusionRegionally selective decline in brain glucose utilization begins already in the middle age, while individual differences in brain glucose metabolism remain stable. In addition to ageing, brain glucose utilization is also associated with metabolic cluster, blood glucose levels and heart rate. These effects are also consistent over the studied period of 5 years in the middle adulthood.
- Citations
- 2
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Lower Brain Glucose Metabolism in Normal Ageing is Predominantly Frontal and Temporal: A Systematic Review and Pooled Effect Size and Activation Likelihood Estimates Meta-Analyses.
Hamish A Deery, Robert Di Paolo, … Sharna D. Jamadar·Human Brain MappingPeer-reviewed·Oct 21, 2022
- Metabolic connectivity in ageing.
Hamish A Deery, Emma X Liang, … Sharna D. Jamadar·bioRxiv·Jun 16, 2024
- Aging and the Spectral Properties of Brain Hemodynamics
Ki Yun Park, Abraham Z. Snyder, … Eric C. Leuthardt·Advanced SciencePeer-reviewed·Jul 16, 2025
- Peripheral insulin resistance attenuates cerebral glucose metabolism and impairs working memory in healthy adults
Hamish A Deery, Emma X Liang, … Sharna D. Jamadar·npj Metabolic Health and DiseasePeer-reviewed·Aug 2, 2024
- Regional glia-related metabolite levels are higher at older age and scale negatively with visuo-spatial working memory: A cross-sectional proton MR spectroscopy study at 7 tesla on normal cognitive ageing
Anna Lind, Carl‐Johan Boraxbekk, … Anouk Marsman·Journal of NeurosciencePeer-reviewed·Sep 29, 2020
- Interregional causal influences of brain metabolic activity reveal the spread of aging effects during normal aging
Xin Di, Marie Woelfer, … the Alzheimer's Disease Neuroimaging Initiative·Human Brain MappingPeer-reviewed·Aug 7, 2019