Rapid screening of classic galactosemia patients: a proof-of-concept study using high-throughput FTIR analysis of plasma
| Autor: | Cyril Gobinet, Mokhtar Zater, Roselyne Garnotel, Ganesh D. Sockalingum, Valérie Untereiner, Caroline Lacombe |
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| Rok vydání: | 2015 |
| Předmět: |
Adult
Galactosemias Male medicine.medical_specialty Support Vector Machine Population Urine Biochemistry Gastroenterology Analytical Chemistry Sepsis chemistry.chemical_compound Liver disease Cataracts Internal medicine Blood plasma Spectroscopy Fourier Transform Infrared Electrochemistry medicine Diabetes Mellitus Environmental Chemistry Humans education Child Spectroscopy education.field_of_study Principal Component Analysis Galactosemia Infant medicine.disease chemistry Galactose Child Preschool Feasibility Studies Female |
| Zdroj: | The Analyst. 140(7) |
| ISSN: | 1364-5528 |
| Popis: | Classic galactosemia is an autosomal recessive metabolic disease involving the galactose pathway, caused by the deficiency of galactose-1-phosphate uridyltransferase. Galactose accumulation induces in newborns many symptoms, such as liver disease, cataracts, and sepsis leading to death if untreated. Neonatal screening is developed and applied in many countries using several methods to detect galactose or its derived product accumulation in blood or urine. High-throughput FTIR spectroscopy was investigated as a potential tool in the current screening methods. IR spectra were obtained from blood plasma of healthy, diabetic, and galactosemic patients. The major spectral differences were in the carbohydrate region, which was first analysed in an exploratory manner using principal component analysis (PCA). PCA score plots showed a clear discrimination between diabetic and galactosemic patients and this was more marked as a function of the glucose and galactose increased concentration in these patients’ plasma respectively. Then, a support vector machine leave-one-out cross-validation (SVM-LOOCV) classifier was built with the PCA scores as the input and the model was tested on median, mean and all spectra from the three population groups. This classifier was able to discriminate healthy/diabetic, healthy/galactosemic, and diabetic/galactosemic patients with sensitivity and specificity rates ranging from 80% to 94%. The total accuracy rate ranged from 87% to 96%. High-throughput FTIR spectroscopy combined with the SVM-LOOCV classification procedure appears to be a promising tool in the screening of galactosemia patients, with good sensitivity and specificity. Furthermore, this approach presents the advantages of being cost-effective, fast, and straightforward in the screening of galactosemic patients. |
| Databáze: | OpenAIRE |
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