Evidence map›Paper›PMID 35050171›Full record

ArticleMetabolites2022

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

Ambrin Farizah Babu, Ville Mikael Koistinen, Soile Turunen, Gloria Solano-Aguilar, Joseph F Urban, Iman Zarei, Kati Hanhineva

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Ambrin Farizah BabuDepartment of Public Health and Clinical Nutrition, University of Eastern Finland, 70210 Kuopio, Finland.ORCID 0000-0001-5698-1707
Ville Mikael KoistinenDepartment of Public Health and Clinical Nutrition, University of Eastern Finland, 70210 Kuopio, Finland.ORCID 0000-0003-1587-8361
Soile TurunenAfekta Technologies Ltd., Yliopistonranta 1L, 70211 Kuopio, Finland.
Gloria Solano-AguilarU.S. Department of Agriculture, Agricultural Research Service, Northeast Area, Beltsville Human Nutrition Research Center, Diet Genomics and Immunology Laboratory, Beltsville, MD 20705, USA.ORCID 0000-0003-1975-7102
Joseph F UrbanU.S. Department of Agriculture, Agricultural Research Service, Northeast Area, Beltsville Human Nutrition Research Center, Diet Genomics and Immunology Laboratory, Beltsville, MD 20705, USA.
Iman ZareiDepartment of Public Health and Clinical Nutrition, University of Eastern Finland, 70210 Kuopio, Finland.ORCID 0000-0002-9560-2631
Kati HanhinevaDepartment of Public Health and Clinical Nutrition, University of Eastern Finland, 70210 Kuopio, Finland.
University of Eastern Finland · FIBeltsville Human Nutrition Research Center · USUniversity of Turku · FI

Funding

Academy of FinlandEuropean Union Horizon 2020 874739European Union Horizon 2020 Research and Innovation programme 813781
6 · The paper itself

Abstract

Sterols, bile acids, and acylcarnitines are key players in human metabolism. Precise annotations of these metabolites with mass spectrometry analytics are challenging because of the presence of several isomers and stereoisomers, variability in ionization, and their relatively low concentrations in biological samples. Herein, we present a sensitive and simple qualitative LC-MS/MS (liquid chromatography with tandem mass spectrometry) method by utilizing a set of pure chemical standards to facilitate the identification and distribution of sterols, bile acids, and acylcarnitines in biological samples including human stool and plasma; mouse ileum, cecum, jejunum content, duodenum content, and liver; and pig bile, proximal colon, cecum, heart, stool, and liver. With this method, we detected 24 sterol, 32 bile acid, and 27 acylcarnitine standards in one analysis that were separated within 13 min by reversed-phase chromatography. Further, we observed different sterol, bile acid, and acylcarnitine profiles for the different biological samples across the different species. The simultaneous detection and annotation of sterols, bile acids, and acylcarnitines from reference standards and biological samples with high precision represents a valuable tool for screening these metabolites in routine scientific research.

Indexed as

acylcarnitineannotationbile acidLC–MS/MSsterol

Identifiers

PMID35050171
PMCPMC8781580
OpenAlexW4205745685

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.