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Infrared spectroscopy as a new approach for early fabry disease screening: a pilot study. | LitMetric

AI Article Synopsis

  • Fabry disease (FD) is a rare genetic disorder caused by a deficiency of the enzyme alpha-galactosidase-A due to mutations in the GLA gene, leading to harmful lipid accumulation in cells and primarily affecting males.
  • The study investigates the use of attenuated total reflection Fourier-transform IR (ATR-FTIR) spectroscopy to analyze plasma samples and identify a distinct molecular profile in FD patients compared to healthy controls, achieving perfect accuracy in differentiating the two groups.
  • The findings suggest that ATR-FTIR spectroscopy, combined with advanced pattern recognition algorithms, could serve as a quick and cost-effective screening method for Fabry disease, applicable to all genders.

Article Abstract

Background: Fabry disease (FD) is a rare X-linked lysosomal storage disorder marked by alpha-galactosidase-A (α-Gal A) deficiency, caused by pathogenic mutations in the GLA gene, resulting in the accumulation of glycosphingolipids within lysosomes. The current screening test relies on measuring α-Gal A activity. However, this approach is limited to males. Infrared (IR) spectroscopy is a technique that can generate fingerprint spectra of a biofluid's molecular composition and has been successfully applied to screen numerous diseases. Herein, we investigate the discriminating vibration profile of plasma chemical bonds in patients with FD using attenuated total reflection Fourier-transform IR (ATR-FTIR) spectroscopy.

Results: The Fabry disease group (n = 47) and the healthy control group (n = 52) recruited were age-matched (39.2 ± 16.9 and 36.7 ± 10.9 years, respectively), and females were predominant in both groups (59.6% and 65.4%, respectively). All patients had the classic phenotype (100%), and no late-onset phenotype was detected. A generated partial least squares discriminant analysis (PLS-DA) classification model, independent of gender, allowed differentiation of samples from FD vs. control groups, reaching 100% sensitivity, specificity and accuracy.

Conclusion: ATR-FTIR spectroscopy harnessed to pattern recognition algorithms can distinguish between FD patients and healthy control participants, offering the potential of a fast and inexpensive screening test.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11466028PMC
http://dx.doi.org/10.1186/s13023-024-03380-xDOI Listing

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