PhD Scientific Days 2026

Molecular Medicine 1.

Individuality and Clinical Interpretability of Infrared Molecular Fingerprints in a Large Longitudinal Health-Profiling Study

Előadó neve

Zarándy, Zita Ilona

Neptune code

QXI6QS

Előadó munkahelye

Center for Molecular Fingerprinting

Előadó telefonszáma

+36706337172

Előadó e-mail címe

zita.zarandy@phd.semmelweis.hu

Az előadás címe

Individuality and Clinical Interpretability of Infrared Molecular Fingerprints in a Large Longitudinal Health-Profiling Study

Szerző(k) neve és munkahelye

Zita Ilona Zarándy¹, Kosmas V. Kepesidis¹

1: Center for Molecular Fingerprinting

Bemutatás módja

Szóbeli

Szekció

Molecular Medicine 1.

Language of the presentation

English

Preferred session

Molecular Medicine

Összefoglaló szövege

Introduction
Longitudinal molecular profiling can support personalized health monitoring by capturing stable and individual-specific biological signatures over time. In this context, Fourier-transform infrared (FTIR) spectroscopy of blood plasma provides infrared molecular fingerprints (IMFs) that reflect the global biochemical composition of the sample.

Aims
This work aimed to investigate the individuality of plasma-derived IMFs in a large healthy cohort, compare their individual-specific information content with standard clinical laboratory measurements, and explore how well clinical analytes can be predicted from IMF spectra.

Methods
We analyzed data from 4,704 self-reported healthy participants of the Health for Hungary – Hungary for Health study, each measured at five visits over approximately 1.5 years. At every visit, plasma FTIR spectra and 27 routine clinical laboratory parameters were acquired. Individuality was quantified using within-subject variation, cross-sectional variation, and intra-class correlation. To assess interpretability and shared information between modalities, we performed univariate correlation analysis and multivariate regression to predict clinical analytes from IMF spectra.

Results
IMFs showed strong individuality and temporal stability, with key spectral regions, including the amide and CH-stretching bands, displaying low individuality metric and favorable stability profiles. Compared with clinical laboratory variables, IMF features provided a dense and more uniformly individual-specific molecular signal across the spectrum. Correlation and regression analyses showed that several analytes, especially lipids and glucose-related markers, were strongly associated with IMF spectra and could be predicted with high accuracy. In contrast, markers such as enzyme activities showed weaker spectral association and lower prediction performance. These findings indicate that IMFs capture both stable personal signatures and clinically meaningful biochemical information.

Conclusion
Plasma infrared molecular fingerprints represent a robust and information-rich modality for individualized longitudinal profiling. Their strong individuality and their capacity to reflect selected clinical analytes support their potential as complementary tools in personalized and preventive medicine.

Funding
This work is part of Project No. 2020-2.1.1-ED-2022-00213 that has been implemented with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, financed under the 2020-2.1.1-ED funding scheme. ZIZ was supported by the 2025-2.1.2-EKÖP-KDP University Research Scholarship Programme of the Ministry for Culture and Innovation from the source of the National Research, Development and Innovation Fund.

University

Semmelweis University

Supervisor

Kosmas V. Kepesidis

Publication of my abstract

I do not give consent to the publication of my abstract on the website of the congress.

phd.section.field

in doctoral studies before complex exam (PhD)

Kind

Szabad

Status

elfogadva

Accepted presentation method

szóbeli

Előadás fájl jóváhagyás

jóváhagyta

Előadó

9763

Start

10:00

End

10:10