Evidence map›Paper›PMID 30926037›Full record

ReviewAnalytica chimica acta2019

Tutorial on lipidomics.

Jianing Wang, Chunyan Wang, Xianlin Han

Open access · greenAbstract readReview
In one paragraph

Review in Analytica chimica acta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 2% 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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 138 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Lipidome Complexity in Physiological and Pathological Skin Pigmentation.International journal of molecular sciences · 2025
    Review
  11. Article
  12. Article
  13. Mass Spectrometry-Based Applications of Spheroids in Cancer Biology.Annual review of analytical chemistry (Palo Alto, Calif.) · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Jianing WangBarshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA.
Chunyan WangBarshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA.
Xianlin HanBarshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA; Department of Medicine - Diabetes, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA. Electronic address: hanx@uthscsa.edu.
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
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
Identification of altered lipids predictive of anesthetic-induced brain injuryR01GM105724 · NIGMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HAN, XIANLIN · 2013 to 2016
$1.8M
NIA NIH HHS P30 AG066546NIA NIH HHS RF1 AG061872NIGMS NIH HHS R01 GM105724
6 · The paper itself

Abstract

The mainstream of lipidomics involves mass spectrometry-based, systematic, and large-scale studies of the structure, composition, and quantity of lipids in biological systems such as organs, cells, and body fluids. As increasingly more researchers in broad fields are beginning to pay attention to and actively learn about the lipidomic technology, some introduction on the topic is needed to help the newcomers to better understand the field. This tutorial seeks to introduce the basic knowledge about lipidomics and to provide readers with some core ideas and the most important approaches for studying the field.

Indexed as

Computational BiologyHumansLipidsMass SpectrometryLipidsLipidomicsLipidsMass spectrometryMetabolic syndromeNeurodegenerative diseasesShotgun lipidomics

Identifiers

PMID30926037
PMCPMC7375172
OpenAlexW2912375479

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.