Evidence map›Paper›PMID 35028570›Full record

ReviewFood science of animal resources2022

A Comprehensive Review of Lipidomics and Its Application to Assess Food Obtained from Farm Animals.

Yinghua Song, Changyun Cai, Yingzi Song, Xue Sun, Baoxiu Liu, Peng Xue, Mingxia Zhu, Wenqiong Chai, Yonghui Wang, Changfa Wang and 1 more

Abstract readReview
In one paragraph

Review in Food science of animal resources, 2022. 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.

  1. Review
  2. Article
  3. Special Issue "The Role of Lipids in Health and Diseases".International journal of molecular sciences · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Recent Analytical Methodologies in Lipid Analysis.International journal of molecular sciences · 2024
    Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
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

11 authors.

Yinghua SongCollege of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng 252059, China.ORCID https://orcid.org/0000-0002-9896-5112
Changyun CaiCollege of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng 252059, China.ORCID https://orcid.org/0000-0003-1088-6979
Yingzi SongCollege of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng 252059, China.ORCID https://orcid.org/0000-0002-1180-1255
Xue SunCollege of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng 252059, China.ORCID https://orcid.org/0000-0001-8875-0161
Baoxiu LiuCollege of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng 252059, China.ORCID https://orcid.org/0000-0003-2861-4381
Peng XueCollege of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng 252059, China.ORCID https://orcid.org/0000-0002-5737-6864
Mingxia ZhuCollege of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng 252059, China.ORCID https://orcid.org/0000-0002-3925-3115
Wenqiong ChaiCollege of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng 252059, China.ORCID https://orcid.org/0000-0003-2805-824X
Yonghui WangCollege of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng 252059, China.ORCID https://orcid.org/0000-0001-9604-7230
Changfa WangCollege of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng 252059, China.ORCID 0000-0002-5186-1703
Mengmeng LiCollege of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng 252059, China.ORCID https://orcid.org/0000-0002-6317-875X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipids are one of the major macronutrients essential for adequate growth and maintenance of human health. Their structure is not only complex but also diverse, which makes systematic and holistic analyses challenging; consequently, little is known regarding the relationship between phenotype and mechanism of action. In recent years, rapid advancements have been made in the fields of lipidomics and bioinformatics. In comparison with traditional approaches, mass spectrometry-based lipidomics can rapidly identify as well as quantify >1,000 lipid species at the same time, facilitating comprehensive, robust analyses of lipids in tissues, cells, and body fluids. Accordingly, lipidomics is now being widely applied in various fields, particularly food and nutrition science. In this review, we discuss lipid classification, extraction techniques, and detection and analysis using lipidomics. We also cover how lipidomics is being used to assess food obtained from livestock and poultry. The information included herein should serve as a reference to determine how to characterize lipids in animal food samples, enhancing our understanding of the application of lipidomics in the field in animal husbandry.

Indexed as

animal foodlipidomicslipidsmass spectrometry

Identifiers

PMID35028570
PMCPMC8728500

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.