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Tolstik, Elen ; Ali, Nairveen ; Guo, Shuxia ; Ebersbach, Paul ; Möllmann, Dorothe ; Arias-Loza, Paula ; Dierks, Johann ; Schuler, Irina ; Freier, Erik ; Debus, Jörg ; Baba, Hideo A. ; Nordbeck, Peter ; Bocklitz, Thomas ; Lorenz, Kristina:
CARS Imaging Advances Early Diagnosis of Cardiac Manifestation of Fabry Disease.
In: International Journal of Molecular Sciences.
Bd. 23
(2022)
Heft 10
.
- 5345.
ISSN 1422-0067
DOI: https://doi.org/10.3390/ijms23105345
Abstract
Vibrational spectroscopy can detect characteristic biomolecular signatures and thus has the potential to support diagnostics. Fabry disease (FD) is a lipid disorder disease that leads to accumulations of globotriaosylceramide in different organs, including the heart, which is particularly critical for the patient’s prognosis. Effective treatment options are available if initiated at early disease stages, but many patients are late- or under-diagnosed. Since Coherent anti-Stokes Raman (CARS) imaging has a high sensitivity for lipid/protein shifts, we applied CARS as a diagnostic tool to assess cardiac FD manifestation in an FD mouse model. CARS measurements combined with multivariate data analysis, including image preprocessing followed by image clustering and data-driven modeling, allowed for differentiation between FD and control groups. Indeed, CARS identified shifts of lipid/protein content between the two groups in cardiac tissue visually and by subsequent automated bioinformatic discrimination with a mean sensitivity of 90–96%. Of note, this genotype differentiation was successful at a very early time point during disease development when only kidneys are visibly affected by globotriaosylceramide depositions. Altogether, the sensitivity of CARS combined with multivariate analysis allows reliable diagnostic support of early FD organ manifestation and may thus improve diagnosis, prognosis, and possibly therapeutic monitoring of FD.
Weitere Angaben
| Publikationsform: | Artikel in einer Zeitschrift |
|---|---|
| Begutachteter Beitrag: | Ja |
| Keywords: | coherent anti-Stokes Raman scattering (CARS) microscopy; Raman micro-spectroscopy; cardiovascular diseases; Fabry Disease (FD); Gb3 and lyso-Gb3 biomarkers; multivariate data analysis; immunohistochemistry |
| Institutionen der Universität: | Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz |
| Titel an der UBT entstanden: | Nein |
| Themengebiete aus DDC: | 500 Naturwissenschaften und Mathematik > 530 Physik |
| Eingestellt am: | 31 Mai 2023 12:38 |
| Letzte Änderung: | 31 Mai 2023 12:38 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/81065 |