Evidence map›Paper›PMID 36265716›Full record

ArticleJournal of lipid research2022

High Sensitivity and Wide Linearity LC-MS/MS Method for Oxylipin Quantification in Multiple Biological Samples.

Xian Fu, Hou-Hua Yin, Ming-Jun Wu, Xin He, Qing Jiang, Ling-Tong Zhang, Jun-Yan Liu

Open access · goldAbstract read
In one paragraph

Article in Journal of lipid research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
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

7 authors at 1 institution in 1 country.

Xian FuCenter for Novel Target & Therapeutic Intervention, Institute of Life Sciences, Chongqing Medical University, Chongqing, China.
Hou-Hua YinCenter for Novel Target & Therapeutic Intervention, Institute of Life Sciences, Chongqing Medical University, Chongqing, China.
Ming-Jun WuInstitute of Life Sciences, Chongqing Medical University, Chongqing, China.
Xin HeCenter for Novel Target & Therapeutic Intervention, Institute of Life Sciences, Chongqing Medical University, Chongqing, China.
Qing JiangCenter for Novel Target & Therapeutic Intervention, Institute of Life Sciences, Chongqing Medical University, Chongqing, China.
Ling-Tong ZhangCenter for Novel Target & Therapeutic Intervention, Institute of Life Sciences, Chongqing Medical University, Chongqing, China.
Jun-Yan LiuCenter for Novel Target & Therapeutic Intervention, Institute of Life Sciences, Chongqing Medical University, Chongqing, China. Electronic address: jyliu@cqmu.edu.cn.
Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxylipins are important biological regulators that have received extensive research attention. Due to the extremely low concentrations, large concentration variations, and high structural similarity of many oxylipins, the quantitative analysis of oxylipins in biological samples is always a great challenge. Here, we developed a liquid chromatography-tandem mass spectrometry-based method with high sensitivity, wide linearity, and acceptable resolution for quantitative profiling of oxylipins in multiple biological samples. A total of 104 oxylipins, some with a high risk of detection crosstalk, were well separated on a 150 mm column over 20 min. The method showed high sensitivity with lower limits of quantitation for 87 oxylipins, reaching 0.05-0.5 pg. Unexpectedly, we found that the linear range for 16, 18, and 17 oxylipins reached 10,000, 20,000, and 40,000 folds, respectively. Due to the high sensitivity, while reducing sample consumption to below half the volume of previous methods, 74, 78, and 59 low-abundance oxylipins, among which some were difficult to detect like lipoxins and resolvins, were well quantified in the tested mouse plasma, mouse liver, and human plasma samples, respectively. Additionally, we determined that analytes with multifarious concentrations of over a 1,000-fold difference could be well quantified simultaneously due to the wide linearity. In conclusion, most likely due to the instrumental advancement, this method effectively improves the quantitative sensitivity and linear range over existing methods, which will facilitate and advance the study of the physiological and pathophysiological functions of oxylipins.

Indexed as

OxylipinsTandem Mass SpectrometryAnimalsChromatography, High Pressure LiquidChromatography, LiquidFatty AcidsHumansMiceFatty AcidsOxylipinsbiological regulatorslinear rangelipoxinsliquid chromatography-tandem mass spectrometrylower limits of quantitationplasma samplesquantitative profilingquantitative sensitivityreduced sample consumptionresolvins

Identifiers

PMID36265716
PMCPMC9678976
OpenAlexW4306655505

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.