ReviewAnnual review of analytical chemistry (Palo Alto, Calif.)2026
A Stable Isotope Tracing Primer for the Mass Spectrometrist.
Review in Annual review of analytical chemistry (Palo Alto, Calif.), 2026. 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.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Metabolic function plays a key role in our understanding of both biological and pathophysiological processes. Metabolism is a complex combination of intrinsic processes and environmental cues across a heterogeneous mix of cell types. To investigate metabolism, stable isotope tracing is a versatile approach to assess metabolism across scales, including in cultured cells, animal models, and humans. From the first tracing studies over a century ago, the development and utility of these studies have gone hand-in-hand with technological advances in detecting these labeled atoms, particularly with mass spectrometry. In this review, we describe the instrumentation used to measure isotopically labeled metabolites and approaches to analyze and interpret stable isotope tracing data, and discuss current challenges and opportunities for discovery with these methods.
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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.