Evidence map›Paper›PMID 41927952›Full record

ArticleEJNMMI research2026

Multi-organ glucose metabolism alterations in diabetes mellitus: a total-body

Minghua Wang, Lubing Sun, Yaping Wu, Junpeng Yang, Junting Liang, Nan Meng, Yichun Jiao, Xinyu Guo, Xipeng Yue, Jingjing Lv and 4 more

Abstract read
In one paragraph

Article in EJNMMI research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Minghua WangDepartment of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.
Lubing SunDepartment of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.
Yaping WuDepartment of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.
Junpeng YangDepartment of endocrinology, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.
Junting LiangClinical Bioinformatics Experimental Center, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China.
Nan MengDepartment of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.
Yichun JiaoDepartment of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.
Xinyu GuoDepartment of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.
Xipeng YueDepartment of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.
Jingjing LvDepartment of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.
Lili YuDepartment of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.
Tao SunPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. tao.sun@siat.ac.cn.
Meiyun WangDepartment of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China. mywang@ha.edu.cn.
Chuanliang ChenDepartment of Medical Imaging, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China. Chencl260@zzu.edu.cn.ORCID http://orcid.org/0009-0005-1639-9225

Funding

National Program on Key Research Project National Program on Key Research Project
6 · The paper itself

Abstract

backgroundDiabetes mellitus (DM) is associated with systemic metabolic disturbances across multiple organs. Total-body 18F-fluorodeoxyglucose (F-FDG) PET/CT enables simultaneous quantification of glucose metabolism in numerous organs. This study aimed to characterize multi-organ 18F-FDG uptake patterns in type 2 DM patients compared with healthy controls and to explore associations with clinical variables including brain volume.

resultsCompared with controls, DM patients exhibited significantly lower SULmean in brain (− 15.3%, P < 0.001), left ventricular myocardium (− 12.7%, P < 0.001), and skull (− 9.8%, P = 0.003), and higher SULmean in subcutaneous adipose tissue (+ 18.2%, P = 0.004). Differences remained significant after multivariable adjustment. Brain volume showed moderate positive correlations with SUL values across multiple organs (r = 0.44–0.63, P < 0.01), and these associations remained significant after adjustment. DM duration negatively correlated with brain and skull SULmean (r = − 0.33 to − 0.46, P < 0.05).

conclusionsType 2 DM is characterized by selective glucose hypometabolism in high-energy-demand organs and compensatory adipose activation. Independent associations with brain volume and disease duration suggest potential imaging biomarkers for diabetic complications using total-body PET/CT.

Identifiers

PMID41927952
PMCPMC13172202

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