Clinical Chemistry
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Clinical Chemistry 49: 1125-1132, 2003; 10.1373/49.7.1125
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(Clinical Chemistry. 2003;49:1125-1132.)
© 2003 American Association for Clinical Chemistry, Inc.

Infrared Spectroscopic Identification of ß-Thalassemia

Kan-Zhi Liu1,a, Kam Sze Tsang2, Chi Kong Li3, R. Anthony Shaw1 and Henry H. Mantsch1

1 Institute for Biodiagnostics, National Research Council of Canada, 435 Ellice Ave., Winnipeg, Manitoba, R3B 1Y6 Canada.
Departments of
2 Anatomical & Cellular Pathology and
3 Pediatrics, The Chinese University of Hong Kong, Cancer Center, Prince of Wales Hospital, Hong Kong, Peoples Republic of China.

aAuthor for correspondence. Fax 204-984-4572; e-mail Kan-Zhi.Liu{at}nrc.ca.

Background: The aim of this study was to investigate the potential of infrared (IR) spectroscopy as a fast and reagent-free adjunct tool in the diagnosis and screening of ß-thalassemia.

Methods: Blood was obtained from 56 patients with ß-thalassemia major, 1 patient with hemoglobin H disease, and 35 age-matched controls. Hemolysates of blood samples were centrifuged to remove stroma. IR absorption spectra were recorded for duplicate films dried from 5 µL of hemolysate. Differentiation between the two groups of hemoglobin spectra was by two statistical methods: an unsupervised cluster analysis and a supervised linear discriminant analysis (LDA).

Results: The IR spectra revealed changes in the secondary structure of hemoglobin from ß-thalassemia patients compared with that from controls, in particular, a decreased {alpha}-helix content, an increased content of parallel and antiparallel ß-sheets, and changes in the tyrosine ring absorption band. The hemoglobin from ß-thalassemia patients also showed an increase in the intensity of the IR bands from the cysteine -SH groups. The unsupervised cluster analysis, statistically separating spectra into different groups according to subtle IR spectral differences, allowed separation of control hemoglobin from ß-thalassemia hemoglobin spectra, based mainly on differences in protein secondary structure. The supervised LDA method provided 100% classification accuracy for the training set and 98% accuracy for the validation set in partitioning control and ß-thalassemia samples.

Conclusion: IR spectroscopy holds promise in the clinical diagnosis and screening of ß-thalassemia.







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Copyright © 2003 by the American Association for Clinical Chemistry.