Evidence map›Paper›PMID 36382383›Full record

ArticleJournal of agricultural and food chemistry2022

Multi-Glycomic Characterization of Fiber from AOAC Methods Defines the Carbohydrate Structures.

Garret Couture, Devanand L Luthria, Ye Chen, Nikita P Bacalzo, Fakir S Tareq, James Harnly, Katherine M Phillips, Pamela R Pehrsson, Kyle McKillop, Naomi K Fukagawa and 1 more

Abstract read
In one paragraph

Article in Journal of agricultural and food chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

11 authors.

Garret CoutureDepartment of Chemistry, University of California Davis, Davis, California 95616, United States.ORCID 0000-0002-8947-4354
Devanand L LuthriaUSDA Agricultural Research Service, Beltsville Human Nutrition Research Center, Beltsville, Maryland 20705, United States.ORCID 0000-0003-1242-7899
Ye ChenDepartment of Chemistry, University of California Davis, Davis, California 95616, United States.ORCID 0000-0002-6379-1968
Nikita P BacalzoDepartment of Chemistry, University of California Davis, Davis, California 95616, United States.
Fakir S TareqUSDA Agricultural Research Service, Beltsville Human Nutrition Research Center, Beltsville, Maryland 20705, United States.
James HarnlyUSDA Agricultural Research Service, Beltsville Human Nutrition Research Center, Beltsville, Maryland 20705, United States.
Katherine M PhillipsDepartment of Biochemistry, Virginia Tech, Blacksburg, Virginia 24060, United States.
Pamela R PehrssonUSDA Agricultural Research Service, Beltsville Human Nutrition Research Center, Beltsville, Maryland 20705, United States.
Kyle McKillopUSDA Agricultural Research Service, Beltsville Human Nutrition Research Center, Beltsville, Maryland 20705, United States.
Naomi K FukagawaUSDA Agricultural Research Service, Beltsville Human Nutrition Research Center, Beltsville, Maryland 20705, United States.
Carlito B LebrillaDepartment of Chemistry, University of California Davis, Davis, California 95616, United States.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

Dietary fiber has long been known to be an essential component of a healthy diet, and recent investigations into the gut microbiome-health paradigm have identified fiber as a prime determinant in this interaction. Further, fiber is now known to impact the gut microbiome in a structure-specific manner, conferring differential bioactivities to these specific structures. However, current analytical methods for food carbohydrate analysis do not capture this important structural information. To address this need, we utilized rapid-throughput LC-MS methods to develop a novel analytical pipeline to determine the structural composition of soluble and insoluble fiber fractions from two AOAC methods (991.43 and 2017.16) at the total monosaccharide, glycosidic linkage, and free saccharide level. Two foods were chosen for this proof-of-concept study: oats and potato starch. For oats, both AOAC methods gave similar results. Insoluble fiber was found to be comprised of linkages corresponding to β-glucan, arabinoxylan, xyloglucan, and mannan, while soluble fiber was found to be mostly β-glucan, with small amounts of arabinogalactan. For raw potato starch, each AOAC method gave markedly different results in the soluble fiber fractions. These observed differences are attributable to the resistant starch content of potato starch and the different starch digestion conditions used in each method. Together, these tools are a means to obtain the complex structures present within dietary fiber while retaining "classical" determinations such as soluble and insoluble fiber. These efforts will provide an analytical framework to connect gravimetric fiber determinations with their constituent structures to better inform gut microbiome and clinical nutrition studies.

Indexed as

beta-GlucansGlycomicsCarbohydratesDietary FiberEdible GrainStarchbeta-GlucansCarbohydratesDietary FiberStarchcarbohydratesdietary fiberfood chemistrygut microbiomeliquid chromatographymass spectrometrynutrition

Identifiers

PMID36382383
PMCPMC11789540

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Registered trials

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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.