ReviewJournal of biomedical science2025
Human liver and pancreas innervation: resolving 3D neurohistological challenges and advancing insights.
Review in Journal of biomedical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
4 authors.
Funding
Abstract
The human liver and pancreas are central to metabolic regulation, with the autonomic nervous system orchestrating processes that maintain glucose homeostasis and respond to dynamic physiological demands-ranging from acute energy mobilization during stress to postprandial glucose uptake and storage. However, visualizing and examining the intricate three-dimensional (3D) neural networks within clinical liver and pancreas specimens remains challenging, as conventional two-dimensional (2D) histological methods cannot fully resolve the spatial complexity of autonomic innervation in the liver and pancreas. This review identifies and discusses key biological and technical factors-including tissue autofluorescence, autolysis, photobleaching, and steatosis-that compromise the reliability of 3D neurohistological analysis of the human liver and pancreas. We also highlight emerging optical and chemical methodologies that enable high- and super-resolution 3D tissue imaging, improving signal fidelity, preserving structural detail, and supporting consistent, reproducible analysis. Ultimately, these advances aim to facilitate precise mapping of human liver and pancreas innervation, offering deeper insight into the neural regulation of nutrient assimilation, glucose utilization, and metabolic homeostasis in both physiological and pathological contexts.
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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.