Evidence map›Paper›PMID 41249716›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2026

Whole-body

Xuetong Tao, Zilong Guan, Jiaxiang Qu, Qian Sun, Yong Xiao, Zhan Li, Ning Ma, Xiaohua Lin, Guanghua Wen, Hairong Zheng and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Whole-bodyEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  2. How organs react under fasting or glucose-insulin status: a self-controlled study usingEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  3. A network analysis of whole-body [European journal of nuclear medicine and molecular imaging · 2026
    Article
  4. Article
  5. Performance of [European journal of nuclear medicine and molecular imaging · 2026
    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

14 authors.

Xuetong TaoLauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Zilong GuanKey Laboratory of Biomedical Imaging Science and System, State Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, 518055, China.
Jiaxiang QuKey Laboratory of Biomedical Imaging Science and System, State Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, 518055, China.
Qian SunDepartment of Nuclear Medicine, Peking University Shenzhen Hospital, Shenzhen, 518036, China.
Yong XiaoMedical Imaging Center, Shenzhen Exit - Entry Frontier Inspection Station General Hospital, Shenzhen, 518024, China.
Zhan LiDepartment of Nuclear Medicine, Peking University Shenzhen Hospital, Shenzhen, 518036, China.
Ning MaDepartment of Nuclear Medicine, Peking University Shenzhen Hospital, Shenzhen, 518036, China.
Xiaohua LinDepartment of Nuclear Medicine, Peking University Shenzhen Hospital, Shenzhen, 518036, China.
Guanghua WenDepartment of Nuclear Medicine, Department of Nuclear Medicine, Shenzhen Longhua district central hospital, Shenzhen, 518100, China.
Hairong ZhengKey Laboratory of Biomedical Imaging Science and System, State Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, 518055, China.
Dong LiangKey Laboratory of Biomedical Imaging Science and System, State Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, 518055, China.
Zhanli HuKey Laboratory of Biomedical Imaging Science and System, State Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, 518055, China. zl.hu@siat.ac.cn.ORCID 0000-0003-0618-6240
Mengjie DongDepartment of Nuclear Medicine, Peking University Shenzhen Hospital, Shenzhen, 518036, China. dmjlzf2016@zju.edu.cn.
Na ZhangLauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China. na.zhang@siat.ac.cn.ORCID 0000-0001-9510-4520

Funding

National Key Research and Development Program of China 2023YFC3402800National Natural Science Foundation of China 82372038Natural Science Foundation of Guangdong Province in China 2023B1515120007Natural Science Foundation of Guangdong Province in China 2024B1515040018Shenzhen Science and Technology Program of China KJZD20240903101307010
6 · The paper itself

Abstract

purposeEarly disruptions in systemic glucose regulation may occur even before overt glycemic abnormalities manifest. This study investigated whether patterns of inter-regional glucose uptake coordination, derived from whole-body ¹⁸F-FDG PET/CT, could reveal latent subclinical metabolic phenotypes among normoglycemic adults.

methodsWe analyzed 536 clinically normoglycemic adults (fasting blood glucose < 6.1 mmol/L) who underwent whole-body ¹⁸F-FDG PET/CT. For each subject, pairwise lean body mass normalized standardized uptake value ratios (SUL

resultsTwo distinct metabolic phenotypes were identified within the normoglycemic cohort (Phenotype A and Phenotype B), with no significant differences in age, sex, BMI, or fasting blood glucose. Phenotype A was characterized by lower myocardium-to-peripheral ratios (versus adipose, skeletal muscle, and lung) and higher brain-to-myocardium and brain-to-fat ratios compared to Phenotype B. At the network level, Phenotype A showed stronger positive correlations between myocardial and peripheral uptakes, indicating tighter systemic coupling despite reduced relative cardiac allocation. These patterns qualitatively mirrored those observed in prediabetic and diabetic groups.

conclusionWhole-body ¹⁸F-FDG PET/CT identified metabolically distinct phenotypes in adults with normal fasting glucose, differentiated by both pairwise uptake ratios and systemic network coordination. These findings highlight latent metabolic heterogeneity in clinically healthy individuals and provide a basis for future investigations into early systemic metabolic alterations.

Indexed as

Blood GlucoseFluorodeoxyglucose F18Positron Emission Tomography Computed TomographyWhole Body ImagingAdultAgedFemaleHumansMaleMiddle AgedPhenotypeRadiopharmaceuticalsBlood GlucoseFluorodeoxyglucose F18Radiopharmaceuticals18F-FDGClusteringDiabeticsGaussian mixture modelMetabolic phenotypingNormoglycemiaWhole-body PET/CT

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.