Evidence map›Paper›PMID 39026121›Full record

ReviewNature protocols2024

A multi-glycomic platform for the analysis of food carbohydrates.

Garret Couture, Shawn Ehlers Cheang, Christopher Suarez, Ye Chen, Nikita P Bacalzo, Jiani Jiang, Cheng-Yu Charlie Weng, Aaron Stacy, Juan J Castillo, Omar Delannoy-Bruno and 7 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Integration of crop modeling and sensing into molecular breeding for nutritional quality and stress tolerance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. 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

17 authors.

Garret Couture *Department of Chemistry, University of California, Davis, Davis, CA, USA.ORCID 0000-0002-8947-4354
Shawn Ehlers Cheang *Department of Chemistry, University of California, Davis, Davis, CA, USA.ORCID 0009-0008-2581-7689
Christopher SuarezDepartment of Chemistry, University of California, Davis, Davis, CA, USA.ORCID 0000-0001-8916-1502
Ye ChenDepartment of Chemistry, University of California, Davis, Davis, CA, USA.ORCID 0000-0002-6379-1968
Nikita P BacalzoDepartment of Chemistry, University of California, Davis, Davis, CA, USA.ORCID 0000-0002-6253-6340
Jiani JiangDepartment of Chemistry, University of California, Davis, Davis, CA, USA.ORCID 0000-0002-6291-3337
Cheng-Yu Charlie WengDepartment of Chemistry, University of California, Davis, Davis, CA, USA.
Aaron StacyDepartment of Chemistry, University of California, Davis, Davis, CA, USA.ORCID 0009-0001-9964-1312
Juan J CastilloDepartment of Chemistry, University of California, Davis, Davis, CA, USA.
Omar Delannoy-BrunoEdison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO, USA.
Daniel M WebberEdison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO, USA.ORCID 0000-0001-6109-8118
Michael J BarrattEdison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO, USA.
Jeffrey I GordonEdison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO, USA.
David A MillsFoods for Health Institute, University of California, Davis, Davis, CA, USA.
J Bruce GermanFoods for Health Institute, University of California, Davis, Davis, CA, USA.
Naomi K FukagawaUSDA Agricultural Research Service, Beltsville Human Nutrition Research Center, Beltsville, MD, USA.ORCID 0000-0001-5954-9039
Carlito B LebrillaDepartment of Chemistry, University of California, Davis, Davis, CA, USA. cblebrilla@ucdavis.edu.ORCID 0000-0001-7190-5323

Funding

Annotating carbohydrate structures to develop markers for consumption of foodR01DK124193 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEBRILLA, CARLITO B, LEMAY, DANIELLE GUYANNE · 2020 to 2024
$2.9M
NIDDK NIH HHS R01 DK124193
6 · The paper itself

Abstract

Carbohydrates comprise the largest fraction of most diets and exert a profound impact on health. Components such as simple sugars and starch supply energy, while indigestible components, deemed dietary fiber, reach the colon to provide food for the tens of trillions of microbes that make up the gut microbiota. The interactions between dietary carbohydrates, our gastrointestinal tracts, the gut microbiome and host health are dictated by their structures. However, current methods for analysis of food glycans lack the sensitivity, specificity and throughput needed to quantify and elucidate these myriad structures. This protocol describes a multi-glycomic approach to food carbohydrate analysis in which the analyte might be any food item or biological material such as fecal and cecal samples. The carbohydrates are extracted by ethanol precipitation, and the resulting samples are subjected to rapid-throughput liquid chromatography (LC)-tandem mass spectrometry (LC-MS/MS) methods. Quantitative analyses of monosaccharides, glycosidic linkages, polysaccharides and alcohol-soluble carbohydrates are performed in 96-well plates at the milligram scale to reduce the biomass of sample required and enhance throughput. Detailed stepwise processes for sample preparation, LC-MS/MS and data analysis are provided. We illustrate the application of the protocol to a diverse set of foods as well as different apple cultivars and various fermented foods. Furthermore, we show the utility of these methods in elucidating glycan-microbe interactions in germ-free and colonized mice. These methods provide a framework for elucidating relationships between dietary fiber, the gut microbiome and human physiology. These structures will further guide nutritional and clinical feeding studies that enhance our understanding of the role of diet in nutrition and health.

Indexed as

GlycomicsAnimalsChromatography, LiquidDietary CarbohydratesFood AnalysisGastrointestinal MicrobiomeMicePolysaccharidesTandem Mass SpectrometryDietary CarbohydratesPolysaccharides

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.