Evidence map›Paper›PMID 26703190›Full record

ReviewProgress in lipid research2016

Novel advances in shotgun lipidomics for biology and medicine.

Miao Wang, Chunyan Wang, Rowland H Han, Xianlin Han

Abstract readReview
In one paragraph

Review in Progress in lipid research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed
–field-weighted citation impact
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

141 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Roles of FXR in Lipid Biochemistry within Hepatocellular Carcinoma Using MALDI MSI.Journal of the American Society for Mass Spectrometry · 2026
    Article
  6. Caspase-6 Controls Lipid and Energy Metabolism in Diet-Induced Obesity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Lipidomics, Microbiota, and IntestinalInternational journal of molecular sciences · 2025
    Review
  16. Review
  17. Lipidome Complexity in Physiological and Pathological Skin Pigmentation.International journal of molecular sciences · 2025
    Review
  18. Review
  19. Article
  20. LipidFun: a database of lipid functions.Bioinformatics (Oxford, England) · 2025
    Article

81 more citing papers are in PubMed but not listed here.

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

4 authors.

Miao WangCenter for Metabolic Origins of Disease, Sanford Burnham Prebys Medical Discovery Institute; Orlando, FL 32827, USA.
Chunyan WangCenter for Metabolic Origins of Disease, Sanford Burnham Prebys Medical Discovery Institute; Orlando, FL 32827, USA.
Rowland H HanCenter for Metabolic Origins of Disease, Sanford Burnham Prebys Medical Discovery Institute; Orlando, FL 32827, USA.
Xianlin HanCenter for Metabolic Origins of Disease, Sanford Burnham Prebys Medical Discovery Institute; Orlando, FL 32827, USA; College of Basic Medical Sciences, Zhejiang Chinese Medical University, 548 Bingwen Road, Hangzhou, Zhejiang 310053, China. Electronic address: xhan@sbpdiscovery.org.

Funding

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
NIGMS NIH HHS R01 GM105724
6 · The paper itself

Abstract

The field of lipidomics, as coined in 2003, has made profound advances and been rapidly expanded. The mass spectrometry-based strategies of this analytical methodology-oriented research discipline for lipid analysis are largely fallen into three categories: direct infusion-based shotgun lipidomics, liquid chromatography-mass spectrometry-based platforms, and matrix-assisted laser desorption/ionization mass spectrometry-based approaches (particularly in imagining lipid distribution in tissues or cells). This review focuses on shotgun lipidomics. After briefly introducing its fundamentals, the major materials of this article cover its recent advances. These include the novel methods of lipid extraction, novel shotgun lipidomics strategies for identification and quantification of previously hardly accessible lipid classes and molecular species including isomers, and novel tools for processing and interpretation of lipidomics data. Representative applications of advanced shotgun lipidomics for biological and biomedical research are also presented in this review. We believe that with these novel advances in shotgun lipidomics, this approach for lipid analysis should become more comprehensive and high throughput, thereby greatly accelerating the lipidomics field to substantiate the aberrant lipid metabolism, signaling, trafficking, and homeostasis under pathological conditions and their underpinning biochemical mechanisms.

Indexed as

Lipid MetabolismAlzheimer DiseaseAnimalsHumansMass SpectrometryMetabolic SyndromeMetabolomicsPhospholipidsPhospholipidsAlzheimer's diseaseBioactive lipidsLipidomicsMass spectrometryMetabolic syndromeShotgun lipidomics

Identifiers

PMID26703190
PMCPMC4733395

What OpenQuestion holds

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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.