Evidence map›Paper›PMID 31730253›Full record

ArticleAngewandte Chemie (International ed. in English)2020

Real-Time NMR Spectroscopy for Studying Metabolism.

Islam Alshamleh, Nina Krause, Christian Richter, Nina Kurrle, Hubert Serve, Ulrich L Günther, Harald Schwalbe

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Protein in-cell NMR spectroscopy at 1.2 GHz.Journal of biomolecular NMR · 2021
    Article
  11. Review
  12. Frontiers in psychiatry · 2021
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Real-Time NMR Spectroscopy for Studying Metabolism.Angewandte Chemie (International ed. in English) · 2020
    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.

Islam AlshamlehInstitute of Organic Chemistry and Chemical Biology, Center for Biomolecular Magnetic Resonance (BMRZ), Johann Wolfgang Goethe-University Frankfurt, Max-von-Laue Str. 7, 60438, Frankfurt, Germany.
Nina KrauseInstitute of Organic Chemistry and Chemical Biology, Center for Biomolecular Magnetic Resonance (BMRZ), Johann Wolfgang Goethe-University Frankfurt, Max-von-Laue Str. 7, 60438, Frankfurt, Germany.
Christian RichterInstitute of Organic Chemistry and Chemical Biology, Center for Biomolecular Magnetic Resonance (BMRZ), Johann Wolfgang Goethe-University Frankfurt, Max-von-Laue Str. 7, 60438, Frankfurt, Germany.
Nina KurrleGerman Cancer Consortium (DKTK) and DKFZ, 69120, Heidelberg, Germany.
Hubert ServeGerman Cancer Consortium (DKTK) and DKFZ, 69120, Heidelberg, Germany.ORCID 0000-0001-8472-5516
Ulrich L GüntherInstitute of Chemistry and Metabolomics, University of Luebeck, Ratzeburger Allee 160, 23562, Luebeck, Germany.
Harald SchwalbeInstitute of Organic Chemistry and Chemical Biology, Center for Biomolecular Magnetic Resonance (BMRZ), Johann Wolfgang Goethe-University Frankfurt, Max-von-Laue Str. 7, 60438, Frankfurt, Germany.ORCID 0000-0001-5693-7909

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current metabolomics approaches utilize cellular metabolite extracts, are destructive, and require high cell numbers. We introduce here an approach that enables the monitoring of cellular metabolism at lower cell numbers by observing the consumption/production of different metabolites over several kinetic data points of up to 48 hours. Our approach does not influence cellular viability, as we optimized the cellular matrix in comparison to other materials used in a variety of in-cell NMR spectroscopy experiments. We are able to monitor real-time metabolism of primary patient cells, which are extremely sensitive to external stress. Measurements are set up in an interleaved manner with short acquisition times (approximately 7 minutes per sample), which allows the monitoring of up to 15 patient samples simultaneously. Further, we implemented our approach for performing tracer-based assays. Our approach will be important not only in the metabolomics fields, but also in individualized diagnostics.

Indexed as

Magnetic Resonance SpectroscopyCell Line, Tumorfms-Like Tyrosine Kinase 3GlucoseHumansLactic AcidLeukemia, Myeloid, AcuteLeukocytes, MononuclearMetabolomeMetabolomicsStaurosporineFLT3 protein, humanfms-Like Tyrosine Kinase 3GlucoseLactic AcidmidostaurinStaurosporinebiological chemistrycell studiesmetabolismpersonalized medicinereal-time NMR spectroscopy

Identifiers

PMID31730253
PMCPMC7004128

What OpenQuestion holds

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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.