Evidence map›Paper›PMID 29186215›Full record

ArticleThe Analyst2017

Revisiting monosaccharide analysis - quantitation of a comprehensive set of monosaccharides using dynamic multiple reaction monitoring.

Gege Xu, Matthew J Amicucci, Zhi Cheng, Ace G Galermo, Carlito B Lebrilla

Abstract read
In one paragraph

Article in The Analyst, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

45 citing papers in PubMed, 109 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. The growth and pathogenesis ofInfection and immunity · 2026
    Article
  6. Glycoside hydrolase-mediated glucomannan catabolism inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. mBio · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Metabolomics andCommunications biology · 2024
    Article
  17. Recovery of Selenium-Enriched Polysaccharides fromAntioxidants (Basel, Switzerland) · 2024
    Article
  18. Article
  19. Article
  20. 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

5 authors at 1 institution in 1 country.

Gege XuDepartment of Chemistry, University of California, Davis, CA 95616, USA. cblebrilla@ucdavis.edu.
Matthew J Amicucci
Zhi Cheng
Ace G Galermo
Carlito B Lebrilla
University of California System · US

Funding

The incorporation of human milk oligosaccharides in brain glycoconjugatesR01GM049077 · NIGMS · UNIVERSITY OF CALIFORNIA DAVIS · PI LEBRILLA, CARLITO B · 1999 to 2024
$6.3M
Mechanism of Activation of Probiotic Bifidobacteria by Prebiotic Milk GlycansR01AT007079 · NCCIH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI GERMAN, BRUCE, LEBRILLA, CARLITO B · 2012 to 2016
$2.2M
NCCIH NIH HHS R01 AT007079NIGMS NIH HHS R01 GM049077
6 · The paper itself

Abstract

A rapid method for the quantitation of sixteen neutral and acidic monosaccharides, from both animal and plant sources was developed using ultra-high performance liquid chromatography triple quadrupole mass spectrometry (UHPLC/QqQ-MS) in dynamic multiple reaction monitoring (dMRM) mode. Monosaccharides including three pentoses (ribose, xylose, arabinose), two deoxyhexoses (rhamnose, fucose), five hexoses (fructose, mannose, allose, glucose, galactose), two hexuronic acids (glucuronic acid, galacturonic acid), and two N-acetyl-hexosamines (GlcNAc, GalNAc), were derivatized with 1-phenyl-3-methyl-5-pyrazolone (PMP), while underivatized sialic acids, Neu5Ac and Neu5Gc, were simultaneously analyzed with a 10-minute run. With the optimized UHPLC conditions, baseline separations of the isomers were achieved. The sensitivity and calibration ranges of this method were determined. The limits of detection were between femtomoles and attomoles with linear ranges spanning four to six orders of magnitude and coefficients of variation (CVs) ≤7.2%. Spiking experiments performed on a pooled fecal sample demonstrated the high accuracy of this method even when applied to samples with complicated matrices. The validated method was applied to fecal samples from an infant transitioning from breast milk to weaning foods. Major milk monosaccharides including galactose, fucose, glucose, GlcNAc, and Neu5Ac were found to be the most abundant components in the feces of milk-fed infants. PMP-derivatives of nine other monosaccharides including apiose, lyxose, altrose, talose, gulose, glucosamine, galactosamine, mannosamine, and N-acetylmannosamine (ManNAc) were also tested and could be added to the quantitation method depending on the need. The speed and sensitivity of the method makes it readily adaptable to rapid throughput analysis of monosaccharides in biological samples.

Indexed as

Chromatography, High Pressure LiquidMass SpectrometryFecesHumansInfantMonosaccharidesMonosaccharides

Identifiers

PMID29186215
PMCPMC6203862
OpenAlexW2770525211

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.