» Articles » PMID: 33686065

Stability of Person-specific Blood-based Infrared Molecular Fingerprints Opens Up Prospects for Health Monitoring

Overview
Journal Nat Commun
Specialty Biology
Date 2021 Mar 9
PMID 33686065
Citations 20
Authors
Affiliations
Soon will be listed here.
Abstract

Health state transitions are reflected in characteristic changes in the molecular composition of biofluids. Detecting these changes in parallel, across a broad spectrum of molecular species, could contribute to the detection of abnormal physiologies. Fingerprinting of biofluids by infrared vibrational spectroscopy offers that capacity. Whether its potential for health monitoring can indeed be exploited critically depends on how stable infrared molecular fingerprints (IMFs) of individuals prove to be over time. Here we report a proof-of-concept study that addresses this question. Using Fourier-transform infrared spectroscopy, we have fingerprinted blood serum and plasma samples from 31 healthy, non-symptomatic individuals, who were sampled up to 13 times over a period of 7 weeks and again after 6 months. The measurements were performed directly on liquid serum and plasma samples, yielding a time- and cost-effective workflow and a high degree of reproducibility. The resulting IMFs were found to be highly stable over clinically relevant time scales. Single measurements yielded a multiplicity of person-specific spectral markers, allowing individual molecular phenotypes to be detected and followed over time. This previously unknown temporal stability of individual biochemical fingerprints forms the basis for future applications of blood-based infrared spectral fingerprinting as a multiomics-based mode of health monitoring.

Citing Articles

Assessing lung cancer progression and survival with infrared spectroscopy of blood serum.

Kepesidis K, Stoleriu M, Feiler N, Gigou L, Fleischmann F, Aschauer J BMC Med. 2025; 23(1):101.

PMID: 39984973 PMC: 11846347. DOI: 10.1186/s12916-025-03924-3.


Integration of FTIR Spectroscopy and Machine Learning for Kidney Allograft Rejection: A Complementary Diagnostic Tool.

Ramalhete L, Araujo R, Vieira M, Vigia E, Aires I, Ferreira A J Clin Med. 2025; 14(3).

PMID: 39941517 PMC: 11818318. DOI: 10.3390/jcm14030846.


Application of attenuated total reflection-Fourier transform infrared spectroscopy in semi-quantification of blood lipids and characterization of the metabolic syndrome.

Gau T, Wen J, Lu I, Huang P, Lee Y, Lee W PLoS One. 2025; 20(1):e0316522.

PMID: 39883744 PMC: 11781649. DOI: 10.1371/journal.pone.0316522.


The Perils of Molecular Interpretations from Vibrational Spectra of Complex Samples.

Eissa T, Voronina L, Huber M, Fleischmann F, Zigman M Angew Chem Int Ed Engl. 2024; 63(50):e202411596.

PMID: 39508580 PMC: 11610679. DOI: 10.1002/anie.202411596.


CODI: Enhancing machine learning-based molecular profiling through contextual out-of-distribution integration.

Eissa T, Huber M, Obermayer-Pietsch B, Linkohr B, Peters A, Fleischmann F PNAS Nexus. 2024; 3(10):pgae449.

PMID: 39440022 PMC: 11495219. DOI: 10.1093/pnasnexus/pgae449.


References
1.
Chen R, Mias G, Li-Pook-Than J, Jiang L, Lam H, Chen R . Personal omics profiling reveals dynamic molecular and medical phenotypes. Cell. 2012; 148(6):1293-307. PMC: 3341616. DOI: 10.1016/j.cell.2012.02.009. View

2.
Schussler-Fiorenza Rose S, Contrepois K, Moneghetti K, Zhou W, Mishra T, Mataraso S . A longitudinal big data approach for precision health. Nat Med. 2019; 25(5):792-804. PMC: 6713274. DOI: 10.1038/s41591-019-0414-6. View

3.
Bunaciu A, Fleschin S, Dang Hoang V, Aboul-Enein H . Vibrational Spectroscopy in Body Fluids Analysis. Crit Rev Anal Chem. 2016; 47(1):67-75. DOI: 10.1080/10408347.2016.1209104. View

4.
Baker M, Hussain S, Lovergne L, Untereiner V, Hughes C, Lukaszewski R . Developing and understanding biofluid vibrational spectroscopy: a critical review. Chem Soc Rev. 2015; 45(7):1803-18. DOI: 10.1039/c5cs00585j. View

5.
Enroth S, Johansson A, Bosdotter Enroth S, Gyllensten U . Strong effects of genetic and lifestyle factors on biomarker variation and use of personalized cutoffs. Nat Commun. 2014; 5:4684. PMC: 4143927. DOI: 10.1038/ncomms5684. View