Evidence map›Paper›PMID 35981335›Full record

ArticleAnalytical chemistry2022

Colocation of Lipids, Drugs, and Metal Biomarkers Using Spatially Resolved Lipidomics with Elemental Mapping.

Holly-May Lewis, Catia Costa, Véronique Dartois, Firat Kaya, Mark Chambers, Janella de Jesus, Vladimir Palitsin, Roger Webb, Melanie J Bailey

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2022. 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
1.6field-weighted citation impact, top 18% 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, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

9 authors at 2 institutions in 2 countries.

Holly-May LewisDepartment of Chemistry, University of Surrey, Guildford, Surrey GU2 7XH, U.K.ORCID 0000-0002-0561-5421
Catia CostaUniversity of Surrey Ion Beam Centre, Guildford, Surrey GU2 7XH, U.K.ORCID 0000-0001-5792-3891
Véronique DartoisCenter for Discovery and Innovation, Hackensack Meridian School of Medicine, 123 Metro Boulevard, Nutley, New Jersey 07110, United States.ORCID 0000-0001-9470-5009
Firat KayaCenter for Discovery and Innovation, Hackensack Meridian School of Medicine, 123 Metro Boulevard, Nutley, New Jersey 07110, United States.ORCID 0000-0001-8655-2065
Mark ChambersFaculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey GU2 7XH, U.K.
Janella de JesusDepartment of Chemistry, University of Surrey, Guildford, Surrey GU2 7XH, U.K.
Vladimir PalitsinUniversity of Surrey Ion Beam Centre, Guildford, Surrey GU2 7XH, U.K.
Roger WebbUniversity of Surrey Ion Beam Centre, Guildford, Surrey GU2 7XH, U.K.
Melanie J BaileyDepartment of Chemistry, University of Surrey, Guildford, Surrey GU2 7XH, U.K.ORCID 0000-0001-9050-7910
University of Surrey · GBCenter for Discovery · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elemental imaging is widely used for imaging cells and tissues but rarely in combination with organic mass spectrometry, which can be used to profile lipids and measure drug concentrations. Here, we demonstrate how elemental imaging and a new method for spatially resolved lipidomics (DAPNe-LC-MS, based on capillary microsampling and liquid chromatography mass spectrometry) can be used in combination to probe the relationship between metals, drugs, and lipids in discrete areas of tissues. This new method for spatial lipidomics, reported here for the first time, has been applied to rabbit lung tissues containing a lesion (caseous granuloma) caused by tuberculosis infection. We demonstrate how elemental imaging with spatially resolved lipidomics can be used to probe the association between ion accumulation and lipid profiles and verify local drug distribution.

Indexed as

LipidomicsLipidsAnimalsBiomarkersChromatography, LiquidMass SpectrometryRabbitsBiomarkersLipids

Identifiers

PMID35981335
PMCPMC9434551
OpenAlexW4293717803

What OpenQuestion 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 OpenQuestion graph.