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Article
Peer-Review Record

Identification and Distribution of Sterols, Bile Acids, and Acylcarnitines by LC–MS/MS in Humans, Mice, and Pigs—A Qualitative Analysis

Metabolites 2022, 12(1), 49; https://doi.org/10.3390/metabo12010049
by Ambrin Farizah Babu 1,2,*, Ville Mikael Koistinen 1,2,3, Soile Turunen 2,4, Gloria Solano-Aguilar 5, Joseph F. Urban, Jr. 5, Iman Zarei 1 and Kati Hanhineva 1,2,3
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Metabolites 2022, 12(1), 49; https://doi.org/10.3390/metabo12010049
Submission received: 25 October 2021 / Revised: 23 December 2021 / Accepted: 27 December 2021 / Published: 7 January 2022
(This article belongs to the Special Issue Metabolomics 2021 Online)

Round 1

Reviewer 1 Report

We have reviewed the manuscript titled “Identification and Distribution of Sterols, Bile Acids, and Acyl- 2 carnitines by LC-MS/MS in Humans, Mice, and Pigs – A Qualitative Analysis”.  The manuscript describes the development of methods for identifying a variety of analytes in different tissues.

Major comments:

  1. Many samples were identified as [M+H–H2O]+ ion, were attempts made to limit the loss of water?
  2. It is unclear what concentration was used for the BACSMLS library for standards – final spiked concentration should be documented.
  3. Line 105: The authors mention that the method has been validated, but it is not clear what “validation” means in this context.  Were FDA and or European guidelines followed?  This should be clarified.
  4. There are numerous methods describing the quantiation of these compounds – the rationale for not include quantitation should be described.

Author Response

please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

The authors present a clear and thorough LC-MS/MS characterization of sterols, bile acids and acylcarnitines using a set of reference standards. They present sufficiently detailed chromatographic and MS/MS data for these groups of compounds. They then apply their method for profiling of the targeted compounds in various biological samples. This is an interesting application that showcase the method but the profiling results are of limited value, since the number of samples of each type is too small (only two of each type) to make any statistical conclusions. Perhaps it would have been more interesting to do a more detailed comparison using fewer types of samples. However, the manuscript is of value for the metabolomics community and contribute useful and detailed data on the studied compounds. I recommend the manuscript to be accepted for publication in Metabolites. The manuscript is well-written with functional English but I would recommend a careful re-read, especially considering the ‘Materials and Methods’ section, with some edits of the language prior to submitting the final version.

Author Response

please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

Please, see the attachment.

Comments for author File: Comments.pdf

Author Response

please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 3 Report

The authors have fully accomplished my requests thus improving the quality of their work.

The paper can be now accepted in the current form.

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