Evidence map›Paper›PMID 39028917›Full record

ArticleAnalytical chemistry2024

FAIMS Shotgun Lipidomics for Enhanced Class- and Charge-State Separation Complemented by Automated Ganglioside Annotation.

Katharina Hohenwallner, Leonida M Lamp, Liuyu Peng, Madison Nuske, Jürgen Hartler, Gavin E Reid, Evelyn Rampler

Abstract read
In one paragraph

Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Clinical lipidomics in bacterial sepsis: a systematic review of serum and plasma evaluations.Metabolomics : Official journal of the Metabolomic Society · 2026
    Pooled it
  2. Article
  3. Review
  4. Lipid and Metabolite Annotation Using Lipid Data Analyzer.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  5. Article
  6. Article
  7. 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

7 authors.

Katharina HohenwallnerDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna 1090, Austria.ORCID 0000-0002-4957-1344
Leonida M LampInstitute of Pharmaceutical Sciences, University of Graz, Graz 8010, Austria.
Liuyu PengSchool of Chemistry, University of Melbourne, Parkville, Victoria 3010, Australia.
Madison NuskeSchool of Chemistry, University of Melbourne, Parkville, Victoria 3010, Australia.
Jürgen HartlerInstitute of Pharmaceutical Sciences, University of Graz, Graz 8010, Austria.ORCID 0000-0002-1095-6458
Gavin E ReidSchool of Chemistry, University of Melbourne, Parkville, Victoria 3010, Australia.ORCID 0000-0002-9675-1444
Evelyn RamplerDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna 1090, Austria.ORCID 0000-0002-9429-7663

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The analysis of gangliosides is extremely challenging, given their structural complexity, lack of reference standards, databases, and software solutions. Here, we introduce a fast 6 min high field asymmetric ion mobility spectrometry (FAIMS) shotgun lipidomics workflow, along with a dedicated software solution for ganglioside detection. By ramping FAIMS compensation voltages, ideal ranges for different ganglioside classes were obtained. FAIMS revealed both class- and charge-state separation behavior based on the glycan headgroup moiety. The number of sialic acids attached to the glycan moiety correlates positively with their preferred charge states, i.e., trisialylated gangliosides were mainly present as [M - 3H]

Identifiers

PMID39028917
PMCPMC11295132

What OpenQuestion holds

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Registered trials

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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.