Comparative Impact of Organic Grass-Fed and Conventional Cattle-Feeding Systems on Beef and Human Postprandial Metabolomics—A Randomized Clinical Trial

These findings suggest that CON and GRA cattle-feeding systems differentially impact whole beef metabolomics, as well as consumer postprandial metabolic responses and the associated health implications.

Authors

Institutions

Publication Details

Journal
Metabolites
Published
2024-10-03
DOI
https://doi.org/10.3390/metabo14100533
Citations
6
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
1.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative Impact of Organic Grass-Fed and Conventional Cattle-Feeding Systems on Beef and Human Postprandial Metabolomics—A Randomized Clinical Trial

Gwendolyn Cooper, M. E. Bailey, Brian Bothner, Mary P. Miles et al.
6 citations
Metabolites
Metabolomics and Mass Spectrometry Studies
1.40
article

Comparative Impact of Organic Grass-Fed and Conventional Cattle-Feeding Systems on Beef and Human Postprandial Metabolomics—A Randomized Clinical Trial

Gwendolyn Cooper, M. E. Bailey, Brian Bothner, Mary P. Miles, J.A. Boles, Brett Sather, Meghan Spears
article en
6 citations

Abstract

These findings suggest that CON and GRA cattle-feeding systems differentially impact whole beef metabolomics, as well as consumer postprandial metabolic responses and the associated health implications.

MetabolitesVol. 14(10)
Montana State University (US)
Montana State University
Openalex Percentile: Top 19%
Metabolomics and Mass Spectrometry Studies
1.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.