Evidence map›Paper›PMID 31127337›Full record

ReviewAnalytical and bioanalytical chemistry2019

A review of analytical platforms for accurate bile acid measurement.

Mainak Dutta, Jingwei Cai, Wei Gui, Andrew D Patterson

Open access · greenAbstract readReview
In one paragraph

Review in Analytical and bioanalytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. [Analysis and comparison of bile acid metabolism characteristics in children and adults with metabolic- associated fatty liver disease].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Review
  7. Article
  8. [Determination of 30 bile acids in the bile ofSe pu = Chinese journal of chromatography · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. A Review of Analytical Methods for Codeine Determination.Molecules (Basel, Switzerland) · 2021
    Review
  20. Enhancing LC/ESI-MS/MS Throughput for Plasma Bile Acid Assay by Derivatization-based Sample-Multiplexing.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2020
    Article
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

4 authors at 2 institutions in 2 countries.

Mainak DuttaDepartment of Biotechnology, Birla Institute of Technology and Science, Pilani, Dubai Campus, Dubai International Academic City, Dubai, UAE.
Jingwei CaiDepartment of Veterinary and Biomedical Sciences, The Pennsylvania State University, 322 Life Sciences Building, University Park, State College, PA, 16802, USA.
Wei GuiDepartment of Veterinary and Biomedical Sciences, The Pennsylvania State University, 322 Life Sciences Building, University Park, State College, PA, 16802, USA.
Andrew D PattersonDepartment of Veterinary and Biomedical Sciences, The Pennsylvania State University, 322 Life Sciences Building, University Park, State College, PA, 16802, USA. adp117@psu.edu.
Pennsylvania State University · USBirla Institute of Technology and Science, Pilani - Dubai Campus · AE

Funding

Optimized Metabolite Extraction, Separation, and Identification for MetabolomicsR01ES022186 · NIEHS · PENNSYLVANIA STATE UNIVERSITY, THE · PI PATTERSON, ANDREW · 2012 to 2016
$2.0M
Acquisition of an Orbitrap Fusion Lumos Tribid Mass Spectrometer to Accelerate Metabolite Identification and Pathway AnalysisS10OD021750 · OD · PENNSYLVANIA STATE UNIVERSITY, THE · PI PATTERSON, ANDREW · 2017 to 2017
$966k
National Institute of Environmental Health Sciences ES022186NIEHS NIH HHS R01 ES022186NIH HHS S10 OD021750
6 · The paper itself

Abstract

Bile acids are acidic steroids which help in lipid absorption, act as signaling molecules, and are key intermediate molecules between host and gut microbial metabolism. Perturbations in the circulating bile acid pool can lead to dysregulated metabolic and immunological function which may be associated with liver and intestinal disease. Bile acids have chemically diverse structures and are present in a broad range of concentrations in a wide variety of samples with complex biological matrices. Advanced analytical methods are therefore required to identify and accurately quantify individual bile acids. Though enzymatic determination of total bile acid is most popular in clinical laboratories, these methods provide limited information about individual bile acids. Advanced analytical methods such as gas chromatography- and liquid chromatography-mass spectrometry and nuclear magnetic resonance spectroscopy are highly informative techniques which help in identification and quantification of individual bile acids in complex biological matrices. Here, we review the detection technologies currently used for bile acid identification and quantification. We further discuss the advantages and disadvantages of these analytical techniques with respect to sensitivity, specificity, robustness, and ease of use. Graphical abstract.

Indexed as

Bile Acids and SaltsChromatography, GasChromatography, LiquidChromatography, Thin LayerEnzyme-Linked Immunosorbent AssayMagnetic Resonance SpectroscopyMass SpectrometryBile Acids and SaltsBile acidEnzymaticGas chromatographyLiquid chromatographyMass spectrometryNuclear magnetic resonance spectroscopy

Identifiers

PMID31127337
PMCPMC6612313
OpenAlexW2946017471

What OpenQuestion holds

Textmetadata
LicenceTDM
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.