Evidence map›Paper›PMID 35908783›Full record

ArticleJournal of animal science2022

Tandem mass tag labeling to assess proteome differences between intermediate and very tender beef steaks.

David S Dang, Chaoyu Zhai, Mahesh N Nair, Kara J Thornton, Mohammed N Sawalhah, Sulaiman K Matarneh

Open access · greenAbstract read
In one paragraph

Article in Journal of animal science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 35% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

David S DangDepartment of Nutrition, Dietetics and Food Sciences, Utah State University, Logan, UT 84322, USA.
Chaoyu ZhaiDepartment of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA.ORCID 0000-0001-5148-4584
Mahesh N NairDepartment of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA.
Kara J ThorntonDepartment of Animal, Dairy and Veterinary Sciences, Utah State University, Logan, UT 84322, USA.ORCID 0000-0002-7506-5293
Mohammed N SawalhahDepartment of Lands Management and Environment, Prince Al-Hasan Bin Talal Faculty for Natural Resources and Environment, The Hashemite University, Zarqa 13133, Jordan.ORCID 0000-0003-1128-7847
Sulaiman K MatarnehDepartment of Nutrition, Dietetics and Food Sciences, Utah State University, Logan, UT 84322, USA.
Utah State University · USColorado State University · USHashemite University · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tenderness is considered as one of the most important quality attributes dictating consumers' overall satisfaction and future purchasing decisions of fresh beef. However, the ability to predict and manage tenderness has proven very challenging due to the numerous factors that contribute to variation in end-product tenderness. Proteomic profiling allows for global examination of differentially abundant proteins in the meat and can provide new insight into biological mechanisms related to meat tenderness. Hence, the objective of this study was to examine proteomic profiles of beef longissimus lumborum (LL) steaks varying in tenderness, with the intention to identify potential biomarkers related to tenderness. For this purpose, beef LL muscle samples were collected from 99 carcasses at 0 and 384 h postmortem. Based on Warner-Bratzler shear force values at 384 h, 16 samples with the highest (intermediate tender, IT) and lowest (very tender, VT) values were selected to be used for proteomic analysis in this study (n = 8 per category). Using tandem mass tag-based proteomics, a total of 876 proteins were identified, of which 51 proteins were differentially abundant (P < 0.05) between the tenderness categories and aging periods. The differentially identified proteins encompassed a wide array of biological processes related to muscle contraction, calcium signaling, metabolism, extracellular matrix organization, chaperone, and apoptosis. A greater (P < 0.05) relative abundance of proteins associated with carbohydrate metabolism and apoptosis, and a lower (P < 0.05) relative abundance of proteins involved in muscle contraction was observed in the VT steaks after aging compared with the IT steaks, suggesting that more proteolysis occurred in the VT steaks. This may be explained by the greater (P < 0.05) abundance of chaperonin and calcium-binding proteins in the IT steaks, which could have limited the extent of postmortem proteolysis in these steaks. In addition, a greater (P < 0.05) abundance of connective tissue proteins was also observed in the IT steaks, which likely contributed to the difference in tenderness due to added background toughness. The established proteomic database obtained in this study may provide a reference for future research regarding potential protein biomarkers that are associated with meat tenderness.

Indexed as

ProteomeProteomicsAnimalsCattleMeatMuscle, SkeletalTime FactorsProteomeapoptosisbeef tendernessmetabolismproteomicstandem mass tag

Identifiers

PMID35908783
PMCPMC9339282
OpenAlexW4289100836

What OpenQuestion 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 OpenQuestion graph.