ReviewNeurophotonics2025
Genetically encoded biosensors of metabolic function for the study of neurodegeneration, a review and perspective.
Review in Neurophotonics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Genetically encoded tools for tracking metabolites in live cells.Biochemical Society transactions · 2026Review
- Alzheimer's Disease and MERC Dysfunction: Integrating Mechanisms, Biomarkers, and Therapeutic Strategies.Molecular neurobiology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Nervous system tissue is the most metabolically active in the body and neurons are the primary consumers of oxygen and metabolites in nervous tissue. Many processes support neuronal metabolism, and dysregulation of these processes or intrinsic neuronal metabolism is often tied to neurodegenerative diseases. While many techniques are available to query metabolic function and disease (e.g. Seahorse XF, histology, immunostaining), almost all of these approaches are destructive and few offer cellular resolution. However, genetically encoded biosensors can optically measure metabolic features in any tissue with optical access. Biosensors represent an approach to non-destructively monitor metabolic components and regulatory signaling repeatedly over time in intact tissues. In this review, we discuss the application of genetically encoded biosensors that measure metabolites and metabolic processes as applied to studies of neurodegeneration.
Indexed as
Identifiers
What Socratic 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 Socratic graph.