Evidence map›Paper›PMID 41547350›Full record

ArticleCell reports methods2026

Simultaneous determination of free and total metabolite concentrations in proteinaceous specimens by 1D

Alexander Reindl, Claudia Samol, Silke Haerteis, Helena U Zacharias, Katja Dettmer, Peter J Oefner, Wolfram Gronwald

Abstract read
In one paragraph

Article in Cell reports methods, 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

7 authors.

Alexander ReindlInstitute of Functional Genomics, University of Regensburg, Regensburg, Germany.
Claudia SamolInstitute of Functional Genomics, University of Regensburg, Regensburg, Germany.
Silke HaerteisInstitute of Molecular and Cellular Anatomy, University of Regensburg, Regensburg, Germany.
Helena U ZachariasPeter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover Medical School, Hannover, Germany.
Katja DettmerInstitute of Functional Genomics, University of Regensburg, Regensburg, Germany.
Peter J OefnerInstitute of Functional Genomics, University of Regensburg, Regensburg, Germany.
Wolfram GronwaldInstitute of Functional Genomics, University of Regensburg, Regensburg, Germany. Electronic address: wolfram.gronwald@ur.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear magnetic resonance (NMR) spectroscopy is often used for the analysis of metabolites in proteinaceous biological specimens. However, the binding of metabolites to proteins impedes accurate quantitation of total metabolite concentrations by NMR, unless protein binding is disrupted by organic solvent precipitation, which increases variance and may result in the loss of volatile metabolites during post-extraction drying. Here, we present an approach for the inference of total metabolite concentrations from Carr-Purcell-Meiboom-Gill NMR spectra via computation of metabolite and sample-specific factors derived from the individual broadening of spectral peaks due to protein-metabolite binding. The method was validated on both synthetic proteinaceous samples and plasma and urine specimens including a certified reference plasma. Furthermore, results were compared with those obtained for methanol extracts of plasma specimens. In summary, our approach obviates the need for protein precipitation, is easy to use, and allows precise and reliable determination of total metabolite concentrations.

Indexed as

ProteinsHumansMagnetic Resonance SpectroscopyProteinsCP: metabolismCPMGmetabolitesNMRprotein bindingquantification

Identifiers

PMID41547350
PMCPMC12853166

What Socratic 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 Socratic graph.