Evidence map›Paper›PMID 31280478›Full record

ArticleAnalytical and bioanalytical chemistry2019

Accurate mass and retention time library of serum lipids for type 1 diabetes research.

Ngoc Vu, Monica Narvaez-Rivas, Guan-Yuan Chen, Marian J Rewers, Qibin Zhang

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Recent Analytical Methodologies in Lipid Analysis.International journal of molecular sciences · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. [Blood lipid metabolic profile of overweight/obese boys aged 9-12 years].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2020
    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

5 authors at 2 institutions in 1 country.

Ngoc VuDepartment of Chemistry & Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, 27412, USA.
Monica Narvaez-RivasCenter for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, 28082, USA.
Guan-Yuan ChenCenter for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, 28082, USA.
Marian J RewersBarbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
Qibin ZhangDepartment of Chemistry & Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, 27412, USA. q_zhang2@uncg.edu.ORCID http://orcid.org/0000-0002-6135-8706
University of North Carolina at Greensboro · USUniversity of Colorado Denver · US

Funding

Natural History of Pre-Diabetic Autoimmunity (DAISY)R01DK032493 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 1986 to 2024
$9.3M
Protein Markers to Islet Autoimmunity and T1D ProgressionR01DK114345 · NIDDK · UNIVERSITY OF NORTH CAROLINA GREENSBORO · PI ZHANG, QIBIN · 2017 to 2022
$1.7M
Discovery and validation of biomarkers of cardiovascular complications in type 1 diabetesR01DK116731 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI SNELL-BERGEON, JANET KATHLEEN, ZHANG, QIBIN · 2018 to 2020
$1.1M
An Ultrasensitive Mass Spectrometry Platform for Comprehensive Analysis of LipidsR21GM104678 · NIGMS · UNIVERSITY OF NORTH CAROLINA GREENSBORO · PI TANG, KEQI, ZHANG, QIBIN · 2012 to 2014
$591k
NIDDK NIH HHS R01 DK032493NIDDK NIH HHS R01 DK114345NIDDK NIH HHS R01 DK116731NIDDK NIH HHS R01 DK32493NIGMS NIH HHS R21 GM104678
6 · The paper itself

Abstract

Dysregulated lipid species are linked to various disease pathologies and implicated as potential biomarkers for type 1 diabetes (T1D). However, it is challenging to comprehensively profile the blood specimen lipidome with full structural details of every lipid molecule. The commonly used reversed-phase liquid chromatography-tandem mass spectrometry (RPLC-MS/MS)-based lipidomics approach is powerful for the separation of individual lipid species, but lipids belonging to different classes may still co-elute and result in ion suppression and misidentification of lipids. Using offline mixed-mode and RPLC-based two-dimensional separations coupled with MS/MS, a comprehensive lipidomic profiling was performed on human sera pooled from healthy and T1D subjects. The elution order of lipid molecular species on RPLC showed good correlations to the total number of carbons in fatty acyl chains and total number of double bonds. This observation together with fatty acyl methyl ester analysis was used to enhance the confidence of identified lipid species. The final T1D serum lipid library database contains 753 lipid molecular species with accurate mass and RPLC retention time uniquely annotated for each of the species. This comprehensive human serum lipid library can serve as a database for high-throughput RPLC-MS-based lipidomic analysis of blood samples related to T1D and other childhood diseases. Graphical abstract.

Indexed as

AdolescentChildChild, PreschoolChromatography, Reverse-PhaseDiabetes Mellitus, Type 1Gas Chromatography-Mass SpectrometryHumansInfantLipidsTandem Mass SpectrometryLipidsAccurate mass and time tagHuman serum lipidomeLipid profilingMixed-mode LCRPLC-MS/MSType 1 diabetes

Identifiers

PMID31280478
PMCPMC6762021
OpenAlexW2955847964

What OpenQuestion holds

Textmetadata
LicenceTDM
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.