Evidence map›Paper›PMID 41564930›Full record

ArticleJournal of advanced research2026

Next-generation diabetes diagnostics: spectrochemical staging of red blood cells using vibrational spectroscopy.

Aleksandra Wilk, Natalia Wilkosz, Marzena Rugiel, Marta Saluga, Kamil Kawon, Tetiana Stepanenko, Katarzyna Bulat, Aleksandra Wajda, Michał Szuwarzynski, Anna Zajaczkowska and 6 more

Abstract read
In one paragraph

Article in Journal of advanced research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Aleksandra WilkAGH University of Krakow, Faculty of Physics and Applied Computer Science, al. A. Mickiewicza 30, 30-059 Krakow, Poland.
Natalia WilkoszAGH University of Krakow, Faculty of Physics and Applied Computer Science, al. A. Mickiewicza 30, 30-059 Krakow, Poland. Electronic address: nwilkosz@agh.edu.pl.
Marzena RugielAGH University of Krakow, Faculty of Physics and Applied Computer Science, al. A. Mickiewicza 30, 30-059 Krakow, Poland.
Marta SalugaAGH University of Krakow, Faculty of Physics and Applied Computer Science, al. A. Mickiewicza 30, 30-059 Krakow, Poland.
Kamil KawonAGH University of Krakow, Faculty of Physics and Applied Computer Science, al. A. Mickiewicza 30, 30-059 Krakow, Poland.
Tetiana StepanenkoAGH University of Krakow, Faculty of Physics and Applied Computer Science, al. A. Mickiewicza 30, 30-059 Krakow, Poland; Jagiellonian University, Doctoral School of Exact and Natural Sciences, Lojasiewicza 11, 30-348 Krakow, Poland; Jagiellonian University, National Synchrotron Radiation Centre SOLARIS, Czerwone Maki 98 Str., 30-392 Krakow, Poland.
Katarzyna BulatAGH University of Krakow, Faculty of Physics and Applied Computer Science, al. A. Mickiewicza 30, 30-059 Krakow, Poland.
Aleksandra WajdaJagiellonian University, Faculty of Chemistry, Gronostajowa 2, 30-387 Krakow, Poland; Faculty of Pharmacy, Jagiellonian University Medical College, 9 Medyczna Street, Krakow 30-688, Poland.
Michał SzuwarzynskiAcademic Centre for Materials and Nanotechnology, AGH University of Krakow, Al. Mickiewicza 30, 30-059 Krakow, Poland.
Anna ZajaczkowskaLukasiewicz Research Network - PORT Polish Center for Technology Development, Stabłowicka 147, 54-066 Wrocław, Poland.
Anna MorgunowiczLukasiewicz Research Network - PORT Polish Center for Technology Development, Stabłowicka 147, 54-066 Wrocław, Poland.
Grzegorz ChodaczekLukasiewicz Research Network - PORT Polish Center for Technology Development, Stabłowicka 147, 54-066 Wrocław, Poland.
Víctor Navarro-EsteveDepartment of Analytical Chemistry, University of Valencia, Dr. Moliner 50, Burjassot, Spain.
David Perez-GuaitaDepartment of Analytical Chemistry, University of Valencia, Dr. Moliner 50, Burjassot, Spain.
Joanna ChwiejAGH University of Krakow, Faculty of Physics and Applied Computer Science, al. A. Mickiewicza 30, 30-059 Krakow, Poland.
Katarzyna M MarzecAGH University of Krakow, Faculty of Physics and Applied Computer Science, al. A. Mickiewicza 30, 30-059 Krakow, Poland; Faculty of Pharmacy, Jagiellonian University Medical College, 9 Medyczna Street, Krakow 30-688, Poland; EBEAM Centre, Nanotechnology Centre, CEET, VSB-Technical University of Ostrava, Ostrava 708 00, Czech Republic. Electronic address: kmarzec@agh.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionType 2 diabetes mellitus (T2DM) induces progressive biochemical and morphological alterations in red blood cells (RBCs), driven by hyperglycemia-induced oxidative stress and disrupted lipid-protein homeostasis. These changes compromise membrane integrity and serve as sensitive molecular indicators of disease severity. Yet, a non-invasive strategy for capturing such alterations at the molecular level remains an unresolved challenge.

objectivesThis study employs Fourier Transform Infrared Spectroscopy (FT-IR) and Raman Spectroscopy (RS) to uncover sex- and age-specific molecular alterations in RBCs induced by T2DM. By integrating classical and advanced analytical techniques, we identify novel spectrochemical markers of disease progression, offering a non-invasive, label-free framework for staging and monitoring diabetic pathology at the molecular level.

methodsA total of 120 db/db and C57BL/6J mice were tested at 7, 12 and 24 weeks of age. Standard hematological and biochemical analyses were combined with vibrational spectroscopy (FT-IR, RS) and atomic force microscopy (AFM), to assess RBC morphology and molecular composition. Spectral data was analyzed using univariate and multivariate statistics to identify disease-specific spectral markers.

resultsPartial Least Squares Discriminant Analysis reliably distinguished diabetic and control RBC profiles, confirming the presence of robust, disease-specific molecular patterns. Integration with hematological and biochemical parameters further validated the diagnostic relevance of this label-free, non-invasive approach. Structural protein analysis revealed a consistent decline in α-helical content and an increase in β-sheet and β-turn structures, reflecting protein misfolding and aggregation, particularly in older diabetic females. Alterations in disulfide bonding, hydrated β-sheets and H-bonded antiparallel β-sheets highlighted oxidative stress-mediated membrane destabilization. Additionally, elevated plasma triglyceride levels and increased saturation of RBC membrane lipids indicate impaired lipid handling.

conclusionVibrational spectroscopy enables non-invasive, molecular-level profiling of diabetes-induced RBC alterations, revealing sex- and age-dependent signatures of disease progression. This approach offers a promising platform for precise staging and stratification in metabolic disorders.

Indexed as

Diabetes Mellitus, Type 2ErythrocytesSpectrum Analysis, RamanAnimalsBiomarkersFemaleHumansMaleMiceMice, Inbred C57BLMicroscopy, Atomic ForceOxidative StressSpectroscopy, Fourier Transform InfraredBiomarkersFourier Transform Infrared Spectroscopy (FT-IR)Raman Spectroscopy (RS)Red blood cells (RBCs)Spectrochemical MarkersType 2 Diabetes Mellitus (T2DM)Vibrational Spectroscopy

Identifiers

PMID41564930
PMCPMC13669592

What OpenQuestion holds

Textmetadata
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.