Evidence map›Paper›PMID 33606510›Full record

ArticleJournal of agricultural and food chemistry2021

Overview of Lipidomic Analysis of Triglyceride Molecular Species in Biological Lipid Extracts.

Xianlin Han, Hongping Ye

Open access · greenAbstract read
In one paragraph

Article in Journal of agricultural and food chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 66 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Xianlin HanBarshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229, United States.ORCID http://orcid.org/0000-0002-8615-2413
Hongping YeDepartment of Medicine-Nephrology, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229, United States.
The University of Texas Health Science Center at San Antonio · US

Funding

South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Mohamad Habes · 2021 to 2026
$24.0M
Utilization of proteomics and lipidomics to identify modifiers of LBDU54NS110435 · NINDS · MAYO CLINIC JACKSONVILLE · PI MCLEAN, PAMELA J · 2019 to 2023
$14.5M
Identification of a missing key element underlying apoE2 neuroprotection in Alzheimer's disease and the aging brainRF1AG061872 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HAN, XIANLIN, SESHADRI, SUDHA · 2018 to 2018
$3.4M
Sulfatide deficiency: A novel mechanism leading to reactive astrogliosis in aging and Alzheimer’s diseaseRF1AG061729 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HAN, XIANLIN · 2021 to 2021
$1.9M
NIA NIH HHS P30 AG066546NIA NIH HHS RF1 AG061729NIA NIH HHS RF1 AG061872NINDS NIH HHS U54 NS110435
6 · The paper itself

Abstract

Triglyceride (TG) is a class of neutral lipids, which functions as an energy storage depot and is important for cellular growth, metabolism, and function. The composition and content of TG molecular species are crucial factors for nutritional aspects in food chemistry and are directly associated with several diseases, including atherosclerosis, diabetes, obesity, stroke, etc. As a result of the complexities of aliphatic moieties and their different connections/locations to the glycerol backbone in TG molecules, accurate identification of individual TG molecular species and quantitative assessment of TG composition and content are particularly challenging, even at the current stage of lipidomics development. Herein, methods developed for analysis of TG species, such as liquid chromatography-mass spectrometry with a variety of columns and different mass spectrometric techniques, shotgun lipidomics approaches, and ion-mobility-based analysis, are reviewed. Moreover, the potential limitations of the methods are discussed. It is our sincere hope that the overviews and discussions can provide some insights for researchers to select an appropriate approach for TG analysis and can serve as the basis for those who would like to establish a methodology for TG analysis or develop a new method when novel tools become available. Biologically accurate analysis of TG species with an enabling method should lead us toward improving the nutritional quality, revealing the effects of TG on diseases, and uncovering the underlying biochemical mechanisms related to these diseases.

Indexed as

LipidomicsLipidsChromatography, LiquidLipid MetabolismMass SpectrometryTriglyceridesLipidsTriglycerideslipidomicsmass spectrometrymetabolic syndromeregioisomersshotgun lipidomicstriglycerides

Identifiers

PMID33606510
PMCPMC8374006
OpenAlexW3132102415

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.