ReviewMedicinal research reviews2026
Insights From Spatiality: Accelerating Pharmaceutical Research Using Mass Spectrometry Imaging.
Review in Medicinal research reviews, 2026. 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
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
1 citing paper in PubMed.
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
Mass spectrometry imaging (MSI) has emerged as a transformative technology in pharmaceutical research, offering unprecedented capabilities to visualize drug distribution, metabolism, and target engagement in biological tissues. By combining the molecular specificity of mass spectrometry with spatial imaging resolution, this label-free approach enables simultaneous mapping of drugs, metabolites, and endogenous molecules across tissue sections, providing comprehensive insights into drug absorption, distribution, metabolism, excretion, and toxicity properties. Recent technical advances have dramatically enhanced MSI capabilities, achieving spatial resolutions down to the cellular level. The integration of tandem mass spectrometry, ion mobility separation, and dedicated data analysis tools powered by artificial intelligence has further expanded the analytical power of MSI, enabling robust molecular identification and pattern recognition in complex biological matrices. MSI applications span critical areas of drug development, from characterizing blood-brain barrier permeability and CNS drug distribution to mapping tumor microenvironment heterogeneity and evaluating anticancer drug penetration. This technology has proven invaluable for assessing drug disposition in the heart, liver, kidney, lung, as well as the gastrointestinal tract and skin. As drug research increasingly embraces multimodal approaches and single-cell analysis, MSI continues to evolve as an indispensable tool for understanding drug behavior in complex biological systems, ultimately accelerating drug development and reducing clinical failures.
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.