Evidence map›Paper›PMID 42484892›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2026

Personalized metabolic connectome analysis reveals glucose heterogeneity in ischemic cerebrovascular disease.

Bixiao Cui, Qi Zhang, Yi Shan, Xinyu Wei, Yaqi Xu, Jie Ma, Juanjuan Jiang, Luyao Wang, Matthias Brendel, Axel Rominger and 4 more

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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. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Bixiao Cui *Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0003-4353-4590
Qi Zhang *School of Communication & Information Engineering, Shanghai University, Shanghai, China.
Yi Shan *Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xinyu WeiInstitute of Biomedical Engineering, School of Life Sciences, Shanghai University, Shanghai, China.
Yaqi XuInstitute of Biomedical Engineering, School of Life Sciences, Shanghai University, Shanghai, China.
Jie MaDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.
Juanjuan JiangSchool of Medical Imaging, Shanghai University of Medicine and Health Science, Shanghai, China.
Luyao WangInstitute of Biomedical Engineering, School of Life Sciences, Shanghai University, Shanghai, China.
Matthias BrendelDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Axel RomingerDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, Bern, Switzerland.
Kuangyu ShiDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, Bern, Switzerland.
Min WangInstitute of Biomedical Engineering, School of Life Sciences, Shanghai University, Shanghai, China. wmwin@shu.edu.cn.
Jiehui JiangInstitute of Biomedical Engineering, School of Life Sciences, Shanghai University, Shanghai, China. jiangjiehui@shu.edu.cn.
Jie LuDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China. imaginglu@hotmail.com.ORCID http://orcid.org/0000-0003-0425-3921

Funding

Beijing Natural Science Foundation 7254540Beijing Physician Scientist Training Project BJPSTP-2025-30Deutsche Forschungsgemeinschaft 390857198National Natural Science Foundation of China 62303295National Natural Science Foundation of China 62376150Noncommunicable Chronic Diseases-National Science and Technology Major Project 2024ZD0539800Shanghai Pujiang Talents Program 24PJD039
6 · The paper itself

Abstract

purposeThis study aimed to establish individualized metabolic networks for patients with ischemic cerebrovascular disease (ICVD) using cerebral glucose metabolism data and to analyze topological alterations before and after surgical intervention.

methodsWe enrolled 31 surgically treated ICVD patients with unilateral cerebral infarction (21 with complete postoperative follow-up) and 17 normal controls (NC). We constructed individualized brain metabolic networks from [

resultsThe preoperative ICVD group showed significantly altered metabolic connectivity compared with controls, with higher global MCES values (0.83 vs. 0.32, p < 0.0001). Ipsilesional subnetworks exhibited reduced connectivity, whereas contralesional subnetworks showed increased connectivity. Subnetwork analysis showed that the interhemispheric network in the ICVD group had a mean MCES of 0.91, which was significantly higher than that of the interhemispheric network in the NC group (0.17, p < 0.0001). Postoperatively, network connectivity showed partial recovery, particularly within the interhemispheric network. MCES was significantly correlated with NIHSS scores in the global, non-surgical intrahemispheric, and interhemispheric networks (|r|=0.58 ~ 0.65, p < 0.05), but not in the surgical intrahemispheric network.

conclusionICVD is associated with disrupted metabolic connectivity that exhibits early postoperative remodeling following surgical revascularization. Changes in interhemispheric network topology may provide insight into early postoperative metabolic network reorganization.

Indexed as

Brain IschemiaConnectomeGlucosePrecision MedicineAgedFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedPositron-Emission TomographyFluorodeoxyglucose F18Glucose[18F]FDG PETGraph TheoryIschemic cerebrovascular diseaseNetwork ReorganizationPersonalized metabolic network

Identifiers

PMID42484892
PMCPMC13633160

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