Peer review process
Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, public reviews, and a response from the authors (if available).
Read more about eLife’s peer review process.Editors
- Reviewing EditorAlan TaleviNational University of La Plata, La Plata, Argentina
- Senior EditorAleksandra WalczakÉcole Normale Supérieure - PSL, Paris, France
Reviewer #1 (Public Review):
Cheng et al explore the utility of analyte ratios instead of relative abundance alone for biological interpretation of tissue in a MALDI MSI workflow. Utilizing the ratio of metabolites and lipids that have complimentary value in metabolic pathways, they show the ratio as a heat map which enhances the understanding of how multiple analytes relate to each other spatially. Normally, this is done by projecting each analyte as a unique color but using a ratio can help clarify visualization and add to biological interpretability. However, existing tools to perform this task are available in open-source repositories, and fundamental limitations inherent to MALDI MSI need to be made clear to the reader. The study lacks rigor and controls, i.e. without quantitative data from a variety of standards (internal isotopic or tissue mimetic models for example), the potential delta in ionization efficiencies of different species subtracts from the utility of pathway analysis using metabolite ratios.
Reviewer #2 (Public Review):
Summary:
In the article, "Untargeted Pixel-by-Pixel Imaging of Metabolite Ratio Pairs as a Novel Tool for Biomedical Discovery in Mass Spectrometry Imaging" the authors describe their software package in R for visualizing metabolite ratio pairs. I think the novelty of this manuscript is overstated and there are several notable issues with the figures that prevent detailed assessment but the work would be of interest to the mass spectrometry community.
Strengths:
The authors describe a software that would be of use to those performing MALDI MSI. This software would certainly add to the understanding of metabolomics data and enhance the identification of critical metabolites.
Weaknesses:
The authors are missing several references and discussion points, particularly about SIMS MSI, where ratio imaging has been previously performed.
There are several misleading sentences about the novelty of the approach and the limitations of metabolite imaging.
Several sentences lack rigor and are not quantitative enough.
The figures are difficult to interpret/ analyze in their current state and lack some critical components, including labels and scale bars.
