Evidence map›Paper›PMID 37887363›Full record

ReviewMetabolites2023

Volumetric Absorptive Microsampling in the Analysis of Endogenous Metabolites.

Daniel Marques de Sá E Silva, Marlene Thaitumu, Georgios Theodoridis, Michael Witting, Helen Gika

Open access · goldAbstract readReview
In one paragraph

Review in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. RPLC- and HILIC-based non-targeted metabolomics workflow for blood microsamples.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

5 authors at 2 institutions in 2 countries.

Daniel Marques de Sá E SilvaDepartment of Chemistry, Aristotle University of Thessaloniki (AUTH), 54124 Thessaloniki, Greece.
Marlene ThaitumuBiomic_AUTh, Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Balkan Center, B1.4, 57001 Thessaloniki, Greece.
Georgios TheodoridisDepartment of Chemistry, Aristotle University of Thessaloniki (AUTH), 54124 Thessaloniki, Greece.ORCID 0000-0002-2015-108X
Michael WittingMetabolomics and Proteomics Core, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany.ORCID 0000-0002-1462-4426
Helen GikaBiomic_AUTh, Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Balkan Center, B1.4, 57001 Thessaloniki, Greece.ORCID 0000-0002-1893-937X
Aristotle University of Thessaloniki · GRHelmholtz Zentrum München · DE

Funding

The European Union Horizon 2020, Marie Curie Actions 101073062
6 · The paper itself

Abstract

Volumetric absorptive microsampling (VAMS) has arisen as a relevant tool in biological analysis, offering simplified sampling procedures and enhanced stability. Most of the attention VAMS has received in the past decade has been from pharmaceutical research, with most of the published work employing VAMS targeting drugs or other exogenous compounds, such as toxins and pollutants. However, biomarker analysis by employing blood microsampling has high promise. Herein, a comprehensive review on the applicability of VAMS devices for the analysis of endogenous metabolites/biomarkers was performed. The study presents a full overview of the analysis process, incorporating all the steps in sample treatment and validation parameters. Overall, VAMS devices have proven to be reliable tools for the analysis of endogenous analytes with biological importance, often offering improved analyte stability in comparison with blood under ambient conditions as well as a convenient and straightforward sample acquisition model.

Indexed as

analytical validationbiomarkersblood microsamplingclinical applicationendogenous metabolitesvolumetric absorptive microsampling (VAMS)

Identifiers

PMID37887363
PMCPMC10609074
OpenAlexW4387060569

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.