Molecular Origin of Blood-based Infrared Spectroscopic Fingerprints

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Molecular Origin of Blood-based Infrared Spectroscopic Fingerprints. / Voronina, Liudmila; Leonardo, Cristina; Mueller-Reif, Johannes B; Geyer, Philipp E; Huber, Marinus; Trubetskov, Michael; Kepesidis, Kosmas V; Behr, Jürgen; Mann, Matthias; Krausz, Ferenc; Žigman, Mihaela.

In: Angewandte Chemie International Edition, Vol. 60, No. 31, 2021, p. 17060-17069.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Voronina, L, Leonardo, C, Mueller-Reif, JB, Geyer, PE, Huber, M, Trubetskov, M, Kepesidis, KV, Behr, J, Mann, M, Krausz, F & Žigman, M 2021, 'Molecular Origin of Blood-based Infrared Spectroscopic Fingerprints', Angewandte Chemie International Edition, vol. 60, no. 31, pp. 17060-17069. https://doi.org/10.1002/anie.202103272

APA

Voronina, L., Leonardo, C., Mueller-Reif, J. B., Geyer, P. E., Huber, M., Trubetskov, M., Kepesidis, K. V., Behr, J., Mann, M., Krausz, F., & Žigman, M. (2021). Molecular Origin of Blood-based Infrared Spectroscopic Fingerprints. Angewandte Chemie International Edition, 60(31), 17060-17069. https://doi.org/10.1002/anie.202103272

Vancouver

Voronina L, Leonardo C, Mueller-Reif JB, Geyer PE, Huber M, Trubetskov M et al. Molecular Origin of Blood-based Infrared Spectroscopic Fingerprints. Angewandte Chemie International Edition. 2021;60(31):17060-17069. https://doi.org/10.1002/anie.202103272

Author

Voronina, Liudmila ; Leonardo, Cristina ; Mueller-Reif, Johannes B ; Geyer, Philipp E ; Huber, Marinus ; Trubetskov, Michael ; Kepesidis, Kosmas V ; Behr, Jürgen ; Mann, Matthias ; Krausz, Ferenc ; Žigman, Mihaela. / Molecular Origin of Blood-based Infrared Spectroscopic Fingerprints. In: Angewandte Chemie International Edition. 2021 ; Vol. 60, No. 31. pp. 17060-17069.

Bibtex

@article{20c88909aabc4c38b4409f5e64cba374,
title = "Molecular Origin of Blood-based Infrared Spectroscopic Fingerprints",
abstract = "Infrared spectroscopy of liquid biopsies is a time- and cost-effective approach that may advance biomedical diagnostics. However, 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 for 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 infrared spectra of liquid biopsies, a framework that could be applied to probing of any disease.",
author = "Liudmila Voronina and Cristina Leonardo and Mueller-Reif, {Johannes B} and Geyer, {Philipp E} and Marinus Huber and Michael Trubetskov and Kepesidis, {Kosmas V} and J{\"u}rgen Behr and Matthias Mann and Ferenc Krausz and Mihaela {\v Z}igman",
year = "2021",
doi = "10.1002/anie.202103272",
language = "English",
volume = "60",
pages = "17060--17069",
journal = "Angewandte Chemie International Edition",
issn = "1433-7851",
publisher = "Wiley-VCH Verlag GmbH & Co. KGaA",
number = "31",

}

RIS

TY - JOUR

T1 - Molecular Origin of Blood-based Infrared Spectroscopic Fingerprints

AU - Voronina, Liudmila

AU - Leonardo, Cristina

AU - Mueller-Reif, Johannes B

AU - Geyer, Philipp E

AU - Huber, Marinus

AU - Trubetskov, Michael

AU - Kepesidis, Kosmas V

AU - Behr, Jürgen

AU - Mann, Matthias

AU - Krausz, Ferenc

AU - Žigman, Mihaela

PY - 2021

Y1 - 2021

N2 - Infrared spectroscopy of liquid biopsies is a time- and cost-effective approach that may advance biomedical diagnostics. However, 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 for 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 infrared spectra of liquid biopsies, a framework that could be applied to probing of any disease.

AB - Infrared spectroscopy of liquid biopsies is a time- and cost-effective approach that may advance biomedical diagnostics. However, 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 for 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 infrared spectra of liquid biopsies, a framework that could be applied to probing of any disease.

U2 - 10.1002/anie.202103272

DO - 10.1002/anie.202103272

M3 - Journal article

C2 - 33881784

VL - 60

SP - 17060

EP - 17069

JO - Angewandte Chemie International Edition

JF - Angewandte Chemie International Edition

SN - 1433-7851

IS - 31

ER -

ID: 261518937