ArticleNature communications2025
Spatial patterns of hepatocyte glucose flux revealed by stable isotope tracing and multi-scale microscopy.
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 5 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
5 citing papers in PubMed.
- Article
- Correspondence to letter to the editor on "Role of amino acids in the regulation of hepatic gluconeogenesis and lipogenesis in metabolic dysfunctionassociated steatotic liver disease".Clinical and molecular hepatology · 2026Article
- Stable Isotopes for the Study of Energy Nutrient Metabolic Pathways in Relation to Health and Disease.Metabolites · 2026Review
- Morning glucagon disrupts insulin induced hepatic metabolic memory and subsequent afternoon glucose metabolism in canines.Frontiers in endocrinology · 2026Article
- Calorie Restriction modulates beta cell IPbioRxiv : the preprint server for biology · 2025Article
Corrections and comments
- Update of
Authors and funding
17 authors.
Funding
Abstract
Metabolic homeostasis requires engagement of catabolic and anabolic pathways consuming nutrients that generate and consume energy and biomass. Our current understanding of cell homeostasis and metabolism, including how cells utilize nutrients, comes largely from tissue and cell models analyzed after fractionation, and that fail to reveal the spatial characteristics of cell metabolism, and how these aspects relate to the location of cells and organelles within tissue microenvironments. Here we show the application of multi-scale microscopy, machine learning-based image segmentation, and spatial analysis tools to quantitatively map the fate of nutrient-derived
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.