ArticleNature communications2025
Spatial mapping of the brain metabolome lipidome and glycome.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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.
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.
Who cites it
22 citing papers in PubMed.
- Failure of morphogenesis in chronic inflammation-associated early tumourigenesis: Extracellular matrix biomechanics as an integrative layer.Biochemistry and biophysics reports · 2026Review
- MALDI Mass Spectrometry Imaging in Alzheimer's Disease Lipidomics: Matrix Selection, Spatial Lipid Pathology and Emerging Analytical Strategies.International journal of molecular sciences · 2026Review
- Perisynaptic Astrocytic Processes as Communication Hubs and Early Sites of Dysfunction.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2026Review
- A review of animal models of vascular dementia.Molecular biology reports · 2026Review
- PLANCK: super-multiplex optical imaging without labeling.bioRxiv : the preprint server for biology · 2026Article
- Hyperglycosylation is a metabolic driver of Alzheimer's disease.Nature metabolism · 2026Article
- The 'sugar' side of extracellular vesicle-glycome: a panorama from basic characteristics, deciphering technologies, functions, to applications.Journal of nanobiotechnology · 2026Review
- Mass Spectrometry-Based Spatial Imaging of the Cochlea.Journal of the American Society for Mass Spectrometry · 2026Article
- SMASH Imaging: A Serial Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Strategy for High-Resolution Imaging Facilitates Dual-Polarity and MS2 Spatial Lipidomics on a Single Tissue Section.Analytical chemistry · 2026Article
- MANTIS: Analytics toolkit for spatial metabolomics with matching spatial transcriptomics data.bioRxiv : the preprint server for biology · 2026Article
- Signal Strength Aware Latent Spaces Reveal Molecularly Distinct Substructures within Human Kidney Tissue.bioRxiv : the preprint server for biology · 2026Article
- A comprehensive N-glycoproteome atlas reveals tissue-specific glycan remodeling but non-random structural microheterogeneities.Nature communications · 2026Article
- ExploringFrontiers in cell and developmental biology · 2026Article
- Machine-Learning-Based Prediction of Clinical Outcomes in Gliomas Using Glycomic Features.Computational and structural biotechnology journal · 2026Article
- Mass spectrometry imaging-based explainable machine learning reveals the biochemical landscapes of the mouse brain.Free neuropathology · 2026Article
- Glycosaminoglycans and Their Role in Capillary Walls.Advances in experimental medicine and biology · 2026Review
- How gut microbiota contribute to neuropsychiatric disorders: evidence from neuroimaging studies.Frontiers in microbiology · 2026Review
- The metabolic engine of cognition: microglia-neuron interactions in health, ageing and disease.Nature metabolism · 2025Review
- Spatial Molecular Imaging of the Glycome Using Mass Spectrometry.Journal of visualized experiments : JoVE · 2025Article
- A Small Molecule Drug-Based Ru(II) Polypyridine Mass-Tag for Multimodal Imaging of Tissue Samples.ACS central science · 2025Article
Corrections and comments
- Update of
Authors and funding
18 authors.
Funding
Abstract
Metabolites, lipids, and glycans are fundamental but interconnected classes of biomolecules that form the basis of the metabolic network. These molecules are dynamically channeled through multiple pathways that govern cellular physiology and pathology. Here, we present a framework for the simultaneous spatial analysis of the metabolome, lipidome, and glycome from a single tissue section using mass spectrometry imaging. This workflow integrates a computational platform, the Spatial Augmented Multiomics Interface (Sami), which enables multiomics integration, high-dimensional clustering, spatial anatomical mapping of matched molecular features, and metabolic pathway enrichment. To demonstrate the utility of this approach, we applied Sami to evaluate metabolic diversity across distinct brain regions and to compare wild-type and Ps19 Alzheimer's disease (AD) mouse models. Our findings reveal region-specific metabolic demands in the normal brain and highlight metabolic dysregulation in the Ps19 model, providing insights into the biochemical alterations associated with neurodegeneration.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.