ArticleJournal of the American Chemical Society2025
An Inverse Electron-Demand Diels-Alder Approach to Selective Activity-Based Sensing of Acetaldehyde in Living Cells.
Article in Journal of the American Chemical Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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Who cites it
1 citing paper in PubMed.
- Chemical Biology 2025: Highlights From the Ch/Bi145 Course at Caltech.Chembiochem : a European journal of chemical biology · 2026Review
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Authors and funding
5 authors.
Funding
Abstract
Acetaldehyde (AA) is a reactive aldehyde primarily produced in cells as a metabolic intermediate during ethanol oxidation. Excess AA, often resulting from impaired AA detoxification, leads to aberrant DNA, protein, and/or lipid damage and increases risk of diseases such as cancer, hepatitis, and cirrhosis. Traditional methods for detecting biological AA often require sample destruction or extensive processing, which compromise spatiotemporal resolution, or do not exhibit sufficient selectivity for this two-carbon metabolite over other competing aldehydes and reactive carbon species in living systems. To overcome these limitations, we now report the design, synthesis, and biological applications of a fluorescent probe platform for acetaldehyde-specific activity-based sensing. The first-generation reagent Acetaldehyde Probe-1 (AAP-1) utilizes an AA-triggered inverse electron-demand Diels-Alder (IEDDA) reaction to enable selective detection of physiologically relevant levels of this two-carbon aldehyde in aqueous solution and in live cells, with minimal interference from competing biological analytes, including highly similar aldehydes like formaldehyde (FA) and methylglyoxal (MGO). Furthermore, AAP-1 enables visualization of endogenous AA pools generated during ethanol metabolism in a human liver cancer cell line, highlighting the potential of this chemical activity-based sensing strategy for studying two-carbon biology in living systems.
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Registered trials
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