Evidence map›Paper›PMID 34822411›Full record

ReviewMetabolites2021

Overview of Metabolomic Analysis and the Integration with Multi-Omics for Economic Traits in Cattle.

Dan Hao, Jiangsong Bai, Jianyong Du, Xiaoping Wu, Bo Thomsen, Hongding Gao, Guosheng Su, Xiao Wang

Abstract readReview
In one paragraph

Review in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
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  3. Article
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  5. Transforming beef quality through healthy breeding: a strategy to reduce carcinogenic compounds and enhance human health: a review.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
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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.

Dan HaoBeijing Zhongnongtongchuang (ZNTC) Biotechnology Co., Ltd., Beijing 100193, China.
Jiangsong BaiBeijing Zhongnongtongchuang (ZNTC) Biotechnology Co., Ltd., Beijing 100193, China.
Jianyong DuBeijing Zhongnongtongchuang (ZNTC) Biotechnology Co., Ltd., Beijing 100193, China.
Xiaoping WuBeijing Zhongnongtongchuang (ZNTC) Biotechnology Co., Ltd., Beijing 100193, China.
Bo ThomsenDepartment of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark.
Hongding GaoCenter for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, Denmark.ORCID 0000-0002-6018-0766
Guosheng SuCenter for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, Denmark.
Xiao WangKonge Larsen ApS, 2800 Kongens Lyngby, Denmark.ORCID 0000-0002-6192-3170

Funding

Hebei Province E202010019Zhongnongtongchuang (ZNTC) group ZNTC2019A10
6 · The paper itself

Abstract

Metabolomics has been applied to measure the dynamic metabolic responses, to understand the systematic biological networks, to reveal the potential genetic architecture, etc., for human diseases and livestock traits. For example, the current published results include the detected relevant candidate metabolites, identified metabolic pathways, potential systematic networks, etc., for different cattle traits that can be applied for further metabolomic and integrated omics studies. Therefore, summarizing the applications of metabolomics for economic traits is required in cattle. We here provide a comprehensive review about metabolomic analysis and its integration with other omics in five aspects: (1) characterization of the metabolomic profile of cattle; (2) metabolomic applications in cattle; (3) integrated metabolomic analysis with other omics; (4) methods and tools in metabolomic analysis; and (5) further potentialities. The review aims to investigate the existing metabolomic studies by highlighting the results in cattle, integrated with other omics studies, to understand the metabolic mechanisms underlying the economic traits and to provide useful information for further research and practical breeding programs in cattle.

Indexed as

cattleeconomic traitintegrated analysismetabolomicsmulti-omicsreview

Identifiers

PMID34822411
PMCPMC8621036

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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.