Evidence map›Paper›PMID 42011950›Full record

ArticleAnalytical chemistry2026

A Universal Framework for Blood Ionome Extraction and Intelligent Quality Control in

Anastasios Theodorou, Ivan Vučković, Eirini Papadimitriou, Konstantinos Papakonstantinou, Vasiliki Taki, Alexandra Louka, Costas Papaloukas, Constantine D Stalikas, Nikolaos Giormezis, Fotini Paliogianni and 3 more

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In one paragraph

Article in Analytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Anastasios TheodorouSection of Analytical and Inorganic Chemistry, Department of Chemistry, University of Ioannina, Ioannina 45110, Greece.
Ivan VučkovićMetabolomics Core, Mayo Clinic, Rochester, Minnesota 55905, United States.
Eirini PapadimitriouSection of Analytical and Inorganic Chemistry, Department of Chemistry, University of Ioannina, Ioannina 45110, Greece.
Konstantinos PapakonstantinouSchool of Medicine and University Hospital, University of Patras, Rio 26504, Greece.
Vasiliki TakiSchool of Medicine and University Hospital, University of Patras, Rio 26504, Greece.
Alexandra LoukaDepartment of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, University College London, London WC1N 3BG, U.K.
Costas PapaloukasDepartment of Biological Applications and Technology, University of Ioannina, Ioannina 45110, Greece.
Constantine D StalikasSection of Analytical and Inorganic Chemistry, Department of Chemistry, University of Ioannina, Ioannina 45110, Greece.ORCID 0000-0002-6189-0006
Nikolaos GiormezisSchool of Medicine and University Hospital, University of Patras, Rio 26504, Greece.
Fotini PaliogianniSchool of Medicine and University Hospital, University of Patras, Rio 26504, Greece.
Ian R LanzaMetabolomics Core, Mayo Clinic, Rochester, Minnesota 55905, United States.
Justin StebbingSchool of Life Sciences, Anglia Ruskin University, East Road, Cambridge CB1 1PT, U.K.
Panteleimon G TakisSection of Analytical and Inorganic Chemistry, Department of Chemistry, University of Ioannina, Ioannina 45110, Greece.ORCID 0000-0002-7224-0412

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear magnetic resonance (NMR) spectroscopy is a cornerstone of metabolomics and clinical bioanalysis; yet, its routine clinical adoption is limited by challenges in quality control (QC) and spectral interpretation. In blood-based NMR studies, ethylenediaminetetraacetic acid (EDTA) and its metal complexes are a major source of spectral interference, obscuring endogenous metabolites while increasing the analytical complexity. Here, we introduce a fully automated cheminformatics platform that enables EDTA-aware QC and the quantitative extraction of metal ion information while preserving metabolic integrity. Using large plasma and serum cohorts acquired at 500 and 600 MHz, we establish a multicenter-validated workflow for accurate quantification of calcium (Ca

Indexed as

CalciumMagnesiumMetabolomicsProton Magnetic Resonance SpectroscopyZincBreast NeoplasmsEdetic AcidHumansQuality ControlCalciumEdetic AcidMagnesiumZinc

Identifiers

PMID42011950
PMCPMC13150807

What Socratic 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 Socratic graph.