Evidence map›Paper›PMID 40137976›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2025

Age-related changes of human brain metabolism.

Shufang Qian, Yihan Ba, Le Xue, Chentao Jin, Rui Zhou, Yi Liao, Yan Zhong, Yuanfan Xu, Feng Shi, Chengyan Wang and 11 more

Abstract read
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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Perinatal lead (Pb) exposure and alterations to amyloid beta and metabolic profiles in the brain.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  2. Sex differences in brain glucose metabolism and Alzheimer's disease risk and progression.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Shufang Qian *Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, China.
Yihan Ba *Huashan Hospital and Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, China.
Le XueDepartment of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, China.
Chentao JinDepartment of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, China.
Rui ZhouDepartment of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, China.
Yi LiaoHuashan Hospital and Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, China.
Yan ZhongDepartment of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, China.
Yuanfan XuHangzhou Universal Medical Imaging Diagnostic Center, Hangzhou, China.
Feng ShiDepartment of Research and Development, United Imaging Intelligence, Shanghai, China.
Chengyan WangHuashan Hospital and Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, China.
Xiaofeng DouDepartment of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, China.
Yidan GaoHuashan Hospital and Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, China.
Han JiangDepartment of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, China.
Peili CenDepartment of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, China.
Chenchen LinDepartment of Bioengineering, University of Pennsylvania, Philadelphia, USA.
Jing WangDepartment of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, China.
Chuantao ZuoHuashan Hospital and Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, China.
Jun ZhangHuashan Hospital and Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, China.
Dinggang ShenDepartment of Research and Development, United Imaging Intelligence, Shanghai, China.
Hong ZhangDepartment of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, China. hzhang21@zju.edu.cn.ORCID 0000-0002-4084-5150
Mei TianHuashan Hospital and Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, China. tianmei@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGlucose is the primary source of human brain energy, and is closely related to brain function. This study aims to evaluate in vivo glucose metabolic changes using

methodsIn this retrospective analysis, a total of 3,291 healthy adults (aged 18 to 89 years, 1816 males) who underwent

resultsAge-related, gender-specific patterns of glucose metabolic changes are revealed, especially in the frontal, occipital, temporal and parietal lobes. A significantly decrease in metabolism is observed in males aged 45 to 70 compared to females. Metabolic aging trajectories and centile scores demonstrate a gradual decline across the total cortical, subcortical and most brain regions. Additionally, brain regions with maximum values (not at age 18), extreme age points, and their corresponding ages were identified. Specifically, only 12 brain regions exhibited values higher than those at age 18, and only 8 regions displayed extreme points throughout the aging process.

conclusionIn summary, our large population study identifies a distinct pattern of brain glucose metabolism during aging that varies between men and women, with two critical age periods based on gender: 45-49, and 70-75. We establish benchmark trajectories for various brain regions, which could serve as references in future aging studies of healthy populations. The aging peaks, including maximum and extreme points, revealed in this study may provide insight into the molecular transformations associated with aging and the development of age-related conditions. SIGNIFICANCE STATEMENT: A number of brain aging changes throughout the lifespan have been well documented, such as reductions in cerebral blood flow, cortical thickness, synaptic density, and neural activity. However, the spatiotemporal patterns of brain functional changes during normal aging remain poorly understood. In this study, we utilized the largest cohort of healthy individuals' FDG brain images to date. For the first time, we combined qualitative and quantitative metabolic aging analyses, and applied brain chart modeling to

Indexed as

AgingBrainAdolescentAdultAgedAged, 80 and overFemaleFluorodeoxyglucose F18GlucoseHumansMaleMiddle AgedPositron-Emission TomographyRetrospective StudiesYoung AdultFluorodeoxyglucose F18GlucoseBrain agingGrowth chart modelingMetabolic trajectoryPositron emission tomography (PET)

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.