Evidence map›Paper›PMID 33902181›Full record

ArticleAnimal bioscience2021

Metabolomics comparison of serum and urine in dairy cattle using proton nuclear magnetic resonance spectroscopy.

Jun Sik Eom, Eun Tae Kim, Hyun Sang Kim, You Young Choi, Shin Ja Lee, Sang Suk Lee, Seon Ho Kim, Sung Sill Lee

Open access · goldAbstract read
In one paragraph

Article in Animal bioscience, 2021. 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 30% 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, 8 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

8 authors at 3 institutions in 1 country.

Jun Sik EomDivision of Applied Life Science (BK21), Gyeongsang National University, Jinju 52828, Korea.
Eun Tae KimNational Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
Hyun Sang KimDivision of Applied Life Science (BK21), Gyeongsang National University, Jinju 52828, Korea.
You Young ChoiDivision of Applied Life Science (BK21), Gyeongsang National University, Jinju 52828, Korea.
Shin Ja LeeInstitute of Agriculture and Life Science & University-Centered Labs, Gyeongsang National University, Jinju 52828, Korea.
Sang Suk LeeRuminant Nutrition and Anaerobe Laboratory, College of Bio-industry Science, Sunchon National University, Suncheon 57922, Korea.
Seon Ho KimRuminant Nutrition and Anaerobe Laboratory, College of Bio-industry Science, Sunchon National University, Suncheon 57922, Korea.
Sung Sill LeeDivision of Applied Life Science (BK21), Gyeongsang National University, Jinju 52828, Korea.
Gyeongsang National University · KRRural Development Administration · KRSunchon National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the study was to conduct metabolic profiling of dairy cattle serum and urine using proton nuclear magnetic resonance (1H-NMR) spectroscopy and to compare the results obtained with those of other dairy cattle herds worldwide so as to provide a basic dataset to facilitate research on metabolites in serum and urine.

methodsSix dairy cattle were used in this study; all animals were fed the same diet, which was composed of total mixed ration; the fed amounts were based on voluntary intake. Blood from the jugular neck vein of each steer was collected at the same time using a separate serum tube. Urine samples were collected by hand sweeping the perineum. The metabolites were determined by 1H-NMR spectroscopy, and the obtained data were statistically analyzed by performing principal component analysis, partial least squares-discriminant analysis, variable importance in projection scores, and metabolic pathway data using Metaboanalyst 4.0.

resultsThe total number of metabolites in the serum and urine was measured to be 115 and 193, respectively, of which 47 and 81, respectively were quantified. Lactate (classified as an organic acid) and urea (classified as an aliphatic acylic compound) exhibited the highest concentrations in serum and urine, respectively. Some metabolites that have been associated with diseases such as ketosis, bovine respiratory disease, and metritis, and metabolites associated with heat stress were also found in the serum and urine samples.

conclusionThe metabolites measured in the serum and urine could potentially be used to detect diseases and heat stress in dairy cattle. The results could also be useful for metabolomic research on the serum and urine of ruminants in Korea.

Indexed as

1H-NMR SpectroscopyDairy CattleMetabolitesSerumUrine

Identifiers

PMID33902181
PMCPMC8563233
OpenAlexW3157514485

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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.