Rapid and reliable diagnosis of Wilson disease using X-ray fluorescence

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Kaščáková, Slávka | Kewish, Cameron M. | Rouzière, Stéphan | Schmitt, Françoise | Sobesky, Rodolphe | Poupon, Joël | Sandt, Christophe | Francou, Bruno | Somogyi, Andrea | Samuel, Didier | Jacquemin, Emmanuel | Dubart-Kupperschmitt, Anne | Nguyen, Tuan Huy | Bazin, Dominique | Duclos-Vallée, Jean-Charles | Guettier, Catherine | Naour, François Le

Edité par CCSD ; Wiley Open Access -

International audience. Wilson's disease (WD) is a rare autosomal recessive disease due to mutations of the gene encoding the copper-transporter ATP7B. The diagnosis is hampered by the variability of symptoms induced by copper accumulation , the inconstancy of the pathognomonic signs and the absence of a reliable diagnostic test. We investigated the diagnostic potential of X-ray fluorescence (XRF) that allows quantitative analysis of multiple elements. Studies were performed on animal models using Wistar rats (n = 10) and Long Evans Cinnamon (LEC) rats (n = 11), and on human samples including normal livers (n = 10), alcohol cirrhosis (n = 8), haemo-chromatosis (n = 10), cholestasis (n = 6) and WD (n = 22). XRF experiments were first performed using synchrotron radiation to address the elemental composition at the cellular level. High-resolution mapping of tissue sections allowed measurement of the intensity and the distribution of copper, iron and zinc while preserving the morphology. Investigations were further conducted using a laboratory X-ray source for irradiating whole pieces of tissue. The sensitivity of XRF was highlighted by the discrimination of LEC rats from wild type even under a regimen using copper deficient food. XRF on whole formalin-fixed paraffin embedded needle biopsies allowed profiling of the elements in a few minutes. The intensity of copper related to iron and zinc significantly discriminated WD from other genetic or chronic liver diseases with 97.6% specificity and 100% sensitivity. This study established a definite diagnosis of Wilson's disease based on XRF. This rapid and versatile method can be easily implemented in a clinical setting.

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