Evidence map›Paper›PMID 36725709›Full record

ArticleSe pu = Chinese journal of chromatography2023

[Determination of phosphatidylethanol in whole-blood by liquid chromatography-tandem mass spectrometry based on intelligent scheduled time-zone acquisition technology and the application to population level survey].

Zhaoyang Liu, Jun Dong, Hongxia Li, Ruiyue Yang, Zhiyu Shao, Siming Wang

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Se pu = Chinese journal of chromatography, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 1 institution in 1 country.

Zhaoyang LiuBeijing Hospital,National Center of Gerontology,Beijing Geriatrics Institute of National Health Commission,Key Laboratory of Geriatrics of National Health Commission,Institute of Geriatric Medicine,Chinese Academy of Medical Sciences.
Jun DongBeijing Hospital,National Center of Gerontology,Beijing Geriatrics Institute of National Health Commission,Key Laboratory of Geriatrics of National Health Commission,Institute of Geriatric Medicine,Chinese Academy of Medical Sciences.
Hongxia LiBeijing Hospital,National Center of Gerontology,Beijing Geriatrics Institute of National Health Commission,Key Laboratory of Geriatrics of National Health Commission,Institute of Geriatric Medicine,Chinese Academy of Medical Sciences.
Ruiyue YangBeijing Hospital,National Center of Gerontology,Beijing Geriatrics Institute of National Health Commission,Key Laboratory of Geriatrics of National Health Commission,Institute of Geriatric Medicine,Chinese Academy of Medical Sciences.
Zhiyu ShaoBeijing Hospital,National Center of Gerontology,Beijing Geriatrics Institute of National Health Commission,Key Laboratory of Geriatrics of National Health Commission,Institute of Geriatric Medicine,Chinese Academy of Medical Sciences.
Siming WangBeijing Hospital,National Center of Gerontology,Beijing Geriatrics Institute of National Health Commission,Key Laboratory of Geriatrics of National Health Commission,Institute of Geriatric Medicine,Chinese Academy of Medical Sciences.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alcohol intake is an important risk factor for cardiovascular disease, liver disease, and diabetes. The accurate and objective evaluation of alcohol intake is important for disease prevention and intervention, as well as alcohol intake monitoring. Phosphatidylethanol (PEth) is a potential clinical biomarker of alcohol consumption. Monitoring PEth levels can provide an objective and quantitative basis for alcohol intake studies. Unlike other current alcohol biomarkers, PEth can only be produced in the presence of alcohol. Therefore, PEth is highly specific for alcohol intake and not affected by confounding factors, such as age, gender, hypertension, kidney disease, liver disease, and other comorbidities. Because of its long half-life and high specificity for alcohol intake, PEth may be used as a tool for monitoring drinking behavior in the clinical, transportation, and other fields. Given rapid developments in mass spectrometry technology over the past decade, liquid chromatography-tandem mass spectrometry (LC-MS/MS) has become the preferred method for PEth detection. However, most current LC-MS/MS methods focus on the determination of one or several PEth homologs, and the number of PEth homologs that can be determined simultaneously is relatively limited. Moreover, the detection capacity of the available methods remains insufficient, and their analytical sensitivity for some PEth homologs must be further improved. In this study, a novel LC-MS/MS method based on an intelligent scheduled time-zone negative multiple reaction monitoring acquisition technology (Scheduled-MRM) was developed. The technology monitors two ion channels in each PEth to ensure reliable results and can quantify 18 PEth homologs in human whole blood simultaneously. Methanol-methyl

Indexed as

EthanolTandem Mass SpectrometryAcetatesBiomarkersChromatography, High Pressure LiquidChromatography, LiquidGlycerophospholipidsHumansTechnologyAcetatesammonium acetateBiomarkersEthanolGlycerophospholipidsphosphatidylethanolalcohol intake monitoringhigh performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS)intelligent scheduled time-zone acquisition technologyphosphatidylethanol (PEth)

Identifiers

PMID36725709
PMCPMC9892970
OpenAlexW4318921739

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.