Evidence map›Paper›PMID 36099064›Full record

ArticleJournal of agricultural and food chemistry2022

Using Metabolomics to Identify the Exposure and Functional Biomarkers of Ginger.

Daniel Esquivel-Alvarado, Shuwei Zhang, Changling Hu, Yantao Zhao, Shengmin Sang

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Fluorescent immunoassay for chloramphenicol based on the label-free polyadenine-mediated spherical nucleic acids triggered signal amplification.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024
    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

5 authors.

Daniel Esquivel-AlvaradoLaboratory for Functional Foods and Human Health, Center for Excellence in Post-Harvest Technologies, North Carolina Agricultural and Technical State University, Kannapolis, North Carolina 28081, United States.ORCID 0000-0003-3557-2562
Shuwei ZhangLaboratory for Functional Foods and Human Health, Center for Excellence in Post-Harvest Technologies, North Carolina Agricultural and Technical State University, Kannapolis, North Carolina 28081, United States.
Changling HuLaboratory for Functional Foods and Human Health, Center for Excellence in Post-Harvest Technologies, North Carolina Agricultural and Technical State University, Kannapolis, North Carolina 28081, United States.
Yantao ZhaoLaboratory for Functional Foods and Human Health, Center for Excellence in Post-Harvest Technologies, North Carolina Agricultural and Technical State University, Kannapolis, North Carolina 28081, United States.ORCID 0000-0003-0722-195X
Shengmin SangLaboratory for Functional Foods and Human Health, Center for Excellence in Post-Harvest Technologies, North Carolina Agricultural and Technical State University, Kannapolis, North Carolina 28081, United States.ORCID 0000-0002-5005-3616

Funding

Novel nutriceuticals relax airway smooth muscle and decrease inflammation in allergic lung diseaseR01HL144852 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI EMALA, CHARLES W · 2020 to 2023
$1.9M
NHLBI NIH HHS R01 HL144852
6 · The paper itself

Abstract

Liquid chromatography-mass spectrometry (LC-MS)-based metabolomics has become an important tool to increase our understanding of how diet affects human health. However, public and commercial mass spectral libraries of dietary metabolites are limited, resulting in the greatest challenge in converting mass spectrometry data into biological insights. In this study, we constructed an LC-MS/MS ginger library as an example to demonstrate the importance of dietary libraries for discovering food biomarkers. The functional and exposure biomarkers of ginger were investigated using plasma samples from mice treated with control and ginger extract diets. Our results showed clear discrimination between the metabolome of mice on normal and ginger extract diets. Using the in-house ginger library, we identified 20 ginger metabolites that can be used as exposure biomarkers of ginger. However, without the LC-MS/MS ginger library, none of the ginger metabolites could be accurately identified based on online mass databases. In addition, ginger treatment significantly impacts the endogenous metabolome, especially the purine metabolism and phenylalanine, tyrosine, and tryptophan biosynthesis. Overall, we demonstrated that the construction of LC-MS/MS spectra dietary libraries would enhance the ability to identify potential dietary biomarkers and correlate potential health benefits associated with food consumption.

Indexed as

Zingiber officinaleAnimalsBiomarkersChromatography, LiquidHumansMetabolomeMetabolomicsMicePhenylalaninePurinesTandem Mass SpectrometryTryptophanTyrosineBiomarkersPhenylalaninePurinesTryptophanTyrosinebiomarkersdietary metabolitesgingergingerolsmass spectral libraryshogaolsuntargeted metabolomics

Identifiers

PMID36099064
PMCPMC9699694

What Socratic 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 Socratic graph.