Evidence map›Paper›PMID 41588209›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2026

Systemic brain-body metabolic coupling patterns in amyotrophic lateral sclerosis: a whole-body [

Manliu Hou, Xin Xie, Jirong Hu, Axel Rominger, Kuangyu Shi, Ling Xiao, Yongxiang Tang, Shuo Hu

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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

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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.

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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

8 authors.

Manliu Hou *Department of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xin Xie *School of Computer Science and Engineering, Hunan University of Information Technology, Changsha, Hunan, China.
Jirong HuSchool of Computer Science and Engineering, Hunan University of Information Technology, Changsha, Hunan, China.
Axel RomingerDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, Bern, Switzerland.
Kuangyu ShiDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, Bern, Switzerland.
Ling XiaoDepartment of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. xiaoling0832@163.com.
Yongxiang TangDepartment of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. 405035@csu.edu.cn.
Shuo HuDepartment of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. hushuo2018@163.com.ORCID 0000-0003-0998-8943

Funding

China Postdoctoral Science Foundation 2022M723561Clinical Research Foundation of the National Clinical Research Center for Geriatric Diseases(XIANGYA) 2023LNJJ16Key Program of Ministry of Industry and Information Technology of China CEIEC-2022-ZM02-0219National Key Clinical Specialty Scientific Research Project grant number:Z2023004National Natural Science Foundation of China 81801740National Natural Science Foundation of China 82272045Science and Technology Innovation Program of Hunan Province 2021RC4056Science Fund for Distinguished Young Scholars of Hunan Province 2024JJ2094
6 · The paper itself

Abstract

purposeAmyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder involving both central and peripheral systems. Its marked heterogeneity and variable prognosis suggest pathophysiology beyond motor neuron degeneration. This study aimed to map brain–body metabolic networks using whole-body [18F]FDG PET/CT, characterize systemic remodeling, and to identify clinically meaningful brain-organ coupling axes and peripheral prognostic markers (lung, small intestine, cervical cord, intrinsic spinal muscles), providing imaging candidates for phenotype-informed stratification and hypothesis generation for future multimodal studies.

methodsWe enrolled 121 ALS patients and 83 controls who underwent whole-body [18F]FDG PET/CT. Standardized uptake value ratios (SUVr), mean Standardized uptake value (SUVmean), and maximum Standardized uptake value (SUVmax) were extracted from brain regions and 11 peripheral organs. Interregional metabolic correlation networks were constructed, and subgroup analyses were performed according to King's stage, progression rate, site of onset, genetic mutations, and non-motor symptoms (NMS). Associations between metabolic alterations and survival were examined using longitudinal follow-up.

resultsCompared to controls, ALS patients exhibited hypometabolism in the frontal lobe and motor cortex, but hypermetabolism in the posterior cingulate and parahippocampal regions. Peripheral alterations included increased metabolism in the liver, spleen, thoracic spinal cord, and spinal muscles, as well as reduced metabolism in the lungs. Brain–body network analysis revealed that advanced King's stages were associated with strengthened brain–heart metabolic coupling. Rapid progression subtypes exhibited enhanced brain-spinal cord coupling and concomitant hypometabolism in the small intestine and thoracic spinal cord. Bulbar-onset ALS demonstrated increased cardiac metabolism but reduced brain–heart coupling. Patients with genetic mutations or NMS exhibited disrupted brain–body co-variation. In unadjusted analyses, survival analysis demonstrated that lung and intestinal hypometabolism and hypermetabolism in the intrinsic spinal muscles and cervical spinal cord were significantly associated with poor prognosis; after Benjamini–Hochberg false discovery rate correction, only intrinsic spinal muscle SUVr remained significant.

conclusionALS is a systemic disorder characterized by widespread remodeling of brain–body metabolic networks. Whole-body [18F]FDG PET/CT enables the detection of multi-organ metabolic abnormalities and uncovers inter-system coupling mechanisms, offering biomarkers for stratification, prognosis prediction, and individualized management.

Indexed as

Amyotrophic Lateral SclerosisBrainFluorodeoxyglucose F18Positron Emission Tomography Computed TomographyWhole Body ImagingAgedCase-Control StudiesFemaleHumansMaleMiddle AgedPhenotypeRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticals[18F]FDG PET/CTAmyotrophic lateral sclerosisBrain–body metabolic couplingMetabolic network analysisNeurodegenerative diseases

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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.