Evidence map›Paper›PMID 33305277›Full record

ArticleFood science of animal resources2020

Metabolomics Analysis of the Beef Samples with Different Meat Qualities and Tastes.

Jin Young Jeong, Minseok Kim, Sang-Yun Ji, Youl-Chang Baek, Seul Lee, Young Kyun Oh, Kondreddy Eswar Reddy, Hyun-Woo Seo, Soohyun Cho, Hyun-Jeong Lee

Abstract read
In one paragraph

Article in Food science of animal resources, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  15. Foods (Basel, Switzerland) · 2022
    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

10 authors.

Jin Young JeongAnimal Nutrition & Physiology Team, National Institute of Animal Science, Wanju 55365, Korea.ORCID https://orcid.org/0000-0002-8670-7036
Minseok KimAnimal Nutrition & Physiology Team, National Institute of Animal Science, Wanju 55365, Korea.ORCID https://orcid.org/0000-0002-8802-5661
Sang-Yun JiAnimal Nutrition & Physiology Team, National Institute of Animal Science, Wanju 55365, Korea.ORCID https://orcid.org/0000-0001-7235-3655
Youl-Chang BaekAnimal Nutrition & Physiology Team, National Institute of Animal Science, Wanju 55365, Korea.ORCID https://orcid.org/0000-0003-4454-5339
Seul LeeAnimal Nutrition & Physiology Team, National Institute of Animal Science, Wanju 55365, Korea.ORCID https://orcid.org/0000-0001-9667-8155
Young Kyun OhAnimal Nutrition & Physiology Team, National Institute of Animal Science, Wanju 55365, Korea.ORCID https://orcid.org/0000-0002-5817-1748
Kondreddy Eswar ReddyAnimal Nutrition & Physiology Team, National Institute of Animal Science, Wanju 55365, Korea.ORCID https://orcid.org/0000-0003-2024-7724
Hyun-Woo SeoAnimal Products Utilization Division, National Institute of Animal Science, Wanju 55365, Korea.ORCID https://orcid.org/0000-0002-7587-0612
Soohyun ChoAnimal Products Utilization Division, National Institute of Animal Science, Wanju 55365, Korea.ORCID https://orcid.org/0000-0002-8073-8771
Hyun-Jeong LeeAnimal Nutrition & Physiology Team, National Institute of Animal Science, Wanju 55365, Korea.ORCID https://orcid.org/0000-0002-2312-9048

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to investigate the meat metabolite profiles related to differences in beef quality attributes (i.e., high-marbled and low-marbled groups) using nuclear magnetic resonance (NMR) spectroscopy. The beef of different marbling scores showed significant differences in water content and fat content. High-marbled meat had mainly higher taste compounds than low-marbled meat. Metabolite analysis showed differences between two marbling groups based on partial least square discriminant analysis (PLS-DA). Metabolites identified by PLS-DA, such as N,N-dimethylglycine, creatine, lactate, carnosine, carnitine, sn-glycero-3-phosphocholine, betaine, glycine, glucose, alanine, tryptophan, methionine, taurine, tyrosine, could be directly linked to marbling groups. Metabolites from variable importance in projection plots were identified and estimated high sensitivity as candidate markers for beef quality attributes. These potential markers were involved in beef taste-related pathways including carbohydrate and amino acid metabolism. Among these metabolites, carnosine, creatine, glucose, and lactate had significantly higher in high-marbled meat compared to low-marbled meat (p<0.05). Therefore, these results will provide an important understanding of the roles of taste-related metabolites in beef quality attributes. Our findings suggest that metabolomics analysis of taste compounds and meat quality may be a powerful method for the discovery of novel biomarkers underlying the quality of beef products.

Indexed as

beefmetabolomicsqualitytaste

Identifiers

PMID33305277
PMCPMC7713764

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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.