ArticleTranslational psychiatry2023
Metabolism-related brain morphology accelerates aging and predicts neurodegenerative diseases and stroke: a UK Biobank study.
Article in Translational psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06632470 (Clinical Utility and Safety of Human Umbilical Cord Mesenchymal Stem Cell Secretome in Moderate Neurocognitive Impairment), which is not on this map. Cited by 24 papers, 1 of them a synthesis that pooled 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.
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.
Clinical Utility and Safety of Human Umbilical Cord Mesenchymal Stem Cell Secretome in Moderate Neurocognitive Impairment (Dementia)
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The association of metabolic syndrome with telomere length as a marker of cellular aging: a systematic review and meta-analysis.Frontiers in genetics · 2024Pooled it
- Physical Activity and BrainAGE: Exploring the Impact on Brain Health and Plasticity in Older Adults.Human brain mapping · 2025Trial
- Large-Scale Brain Network Connectivity Mediates the Association Between Metabolic Risk Factors and Cognition: An fMRI Study of the Human Connectome Project.International journal of endocrinology and metabolism · 2026Article
- Multimorbidity burden and patterns associated with DeepBrainNet-derived brain-age gap in dementia-free older adults: A community-based study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Metabolic syndrome is associated with accelerated brain aging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Inter-organ communication shapes human metabolic tissue states and resolves anti-diabetic drug response modes in a six-tissue microphysiological system.bioRxiv : the preprint server for biology · 2026Article
- Distinct metabolic signatures of Alzheimer's and Parkinson's disease revealed through genetic overlap.EBioMedicine · 2026Article
- One-month early time-restricted eating enhances cognition via white matter-cortical pathways in males with metabolic syndrome: evidence from TBSS and SBM analyses.Frontiers in nutrition · 2026Article
- Associations between metabolic syndrome and regional brain iron depositions and cognitive function in middle-aged and older adults: A two multinational cohort study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Hidden risk: Latent cognitive profiles and structural brain age reveal vulnerability in midlife metabolic syndrome.Journal of the International Neuropsychological Society : JINS · 2025Article
- Metabolic syndrome increases the risk of suicide attempt: evidence from a population-based cohort and genomic analysis.Translational psychiatry · 2025Article
- Distinct metabolic signatures of Alzheimer's and Parkinson's disease revealed through genetic overlap with metabolic markers.medRxiv : the preprint server for health sciences · 2025Article
- Lower slow wave sleep and rapid eye movement sleep are associated with brain atrophy of Alzheimer's disease-vulnerable regions.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025Article
- Machine learning based prediction of cognitive metrics using major biomarkers in SuperAgers.Scientific reports · 2025Article
- Metabolic Status Modulates Global and Local Brain Age Estimates in Overweight and Obese Adults.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- How is the brain affected by metabolically healthy or unhealthy obesity in adulthood and elderly? A narrative review of neuroimaging and neurocognitive findings.Frontiers in aging neuroscience · 2025Review
- Global burden of Alzheimer's disease and other dementias attributed to metabolic risks from 1990 to 2021: results from the global burden of disease study 2021.BMC psychiatry · 2024Article
- Assessing the Influence of Low Doses of Sucrose on Memory Deficits in Fish Exposed to Common Insecticide Based on Fipronil and Pyriproxyfen.Current issues in molecular biology · 2024Article
- Brain network fingerprints of Alzheimer's disease risk factors in mouse models with humanized APOE alleles.Magnetic resonance imaging · 2024Article
- The rise and fall of adenine clusters in the gas phase: a glimpse into crystal growth and nucleation.Analytical and bioanalytical chemistry · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Metabolic syndrome (MetS) is characterized by a constellation of metabolic risk factors, including obesity, hypertriglyceridemia, low high-density lipoprotein (HDL) levels, hypertension, and hyperglycemia, and is associated with stroke and neurodegenerative diseases. This study capitalized on brain structural images and clinical data from the UK Biobank and explored the associations of brain morphology with MetS and brain aging due to MetS. Cortical surface area, thickness, and subcortical volumes were assessed using FreeSurfer. Linear regression was used to examine associations of brain morphology with five MetS components and the MetS severity in a metabolic aging group (N = 23,676, age 62.8 ± 7.5 years). Partial least squares (PLS) were employed to predict brain age using MetS-associated brain morphology. The five MetS components and MetS severity were associated with increased cortical surface area and decreased thickness, particularly in the frontal, temporal, and sensorimotor cortex, and reduced volumes in the basal ganglia. Obesity best explained the variation of brain morphology. Moreover, participants with the most severe MetS had brain age 1-year older than those without MetS. Brain age in patients with stroke (N = 1042), dementia (N = 83), Parkinson's (N = 107), and multiple sclerosis (N = 235) was greater than that in the metabolic aging group. The obesity-related brain morphology had the leading discriminative power. Therefore, the MetS-related brain morphological model can be used for risk assessment of stroke and neurodegenerative diseases. Our findings suggested that prioritizing adjusting obesity among the five metabolic components may be more helpful for improving brain health in aging populations.
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Registered trials
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 Socratic graph.