Evidence map›Paper›PMID 33881784›Full record

ArticleAngewandte Chemie (International ed. in English)2021

Molecular Origin of Blood-Based Infrared Spectroscopic Fingerprints*.

Liudmila Voronina, Cristina Leonardo, Johannes B Mueller-Reif, Philipp E Geyer, Marinus Huber, Michael Trubetskov, Kosmas V Kepesidis, Jürgen Behr, Matthias Mann, Ferenc Krausz and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Perils of Molecular Interpretations from Vibrational Spectra of Complex Samples.Angewandte Chemie (International ed. in English) · 2024
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Molecular Origin of Blood-Based Infrared Spectroscopic Fingerprints*.Angewandte Chemie (International ed. in English) · 2021
    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

11 authors at 5 institutions in 2 countries.

Liudmila VoroninaDepartment of Physics, Ludwig Maximilian University of Munich, 85748, Garching, Germany.ORCID 0000-0001-6766-079X
Cristina LeonardoDepartment of Physics, Ludwig Maximilian University of Munich, 85748, Garching, Germany.
Johannes B Mueller-ReifDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152, Martinsried, Germany.ORCID 0000-0003-3454-2396
Philipp E GeyerDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152, Martinsried, Germany.ORCID 0000-0001-7980-4826
Marinus HuberDepartment of Physics, Ludwig Maximilian University of Munich, 85748, Garching, Germany.
Michael TrubetskovMax Planck Institute of Quantum Optics, 85748, Garching, Germany.
Kosmas V KepesidisDepartment of Physics, Ludwig Maximilian University of Munich, 85748, Garching, Germany.
Jürgen BehrComprehensive Pneumology Center, Department of Internal Medicine V, Clinic of the Ludwig Maximilians University Munich (LMU), Member of the German Center for Lung Research, Germany.
Matthias MannDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152, Martinsried, Germany.ORCID 0000-0003-1292-4799
Ferenc KrauszDepartment of Physics, Ludwig Maximilian University of Munich, 85748, Garching, Germany.
Mihaela ŽigmanDepartment of Physics, Ludwig Maximilian University of Munich, 85748, Garching, Germany.ORCID 0000-0001-8306-1922
Max Planck Institute of Quantum Optics · DEUniversity of Copenhagen · DKCS Diagnostics · DEGerman Center for Lung Research · DELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infrared spectroscopy of liquid biopsies is a time- and cost-effective approach that may advance biomedical diagnostics. However, the molecular nature of disease-related changes of infrared molecular fingerprints (IMFs) remains poorly understood, impeding the method's applicability. Here we probe 148 human blood sera and reveal the origin of the variations in their IMFs. To that end, we supplemented infrared spectroscopy with biochemical fractionation and proteomic profiling, providing molecular information about serum composition. Using lung cancer as an example of a medical condition, we demonstrate that the disease-related differences in IMFs are dominated by contributions from twelve highly abundant proteins-that, if used as a pattern, may be instrumental for detecting malignancy. Tying proteomic to spectral information and machine learning advances our understanding of the infrared spectra of liquid biopsies, a framework that could be applied to probing of any disease.

Indexed as

DermatoglyphicsProteomicsHumansMachine LearningSpectrophotometry, Infraredcancerinfrared molecular fingerprintingIR spectroscopyliquid biopsyproteomics

Identifiers

PMID33881784
PMCPMC8361728
OpenAlexW3155471889

What OpenQuestion holds

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LicenceCC BY
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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.