Department of Pediatrics and Amsterdam Lysosome Centre 'Sphinx', University of Amsterdam, Amsterdam, The Netherlands.
J Inherit Metab Dis. 2013 Mar;36(2):271-9. doi: 10.1007/s10545-012-9535-5. Epub 2012 Sep 12.
Sanfilippo disease (Mucopolysaccharidosis III) is a neurodegenerative lysosomal disorder characterized by accumulation of the glycosaminoglycan heparan sulfate (HS). MPS III has a large phenotypic variability and early assessment of disease severity is difficult. We investigated the correlation between disease severity and the plasma concentration of HS (pHS, defined by the sum of the heparan sulfate derived disaccharides obtained after enzymatic digestion) and urinary total GAGs level (uGAGs, measured by the dimethylene blue test) in a cross-sectional cohort of 44 MPS III patients.
Disease severity was established on the basis of the age of complete loss of independent walking and of full loss of speech in all patients. Hazard ratios (HR) were obtained with cox-regression analysis. In order to allow prediction of a severe phenotype based on a cut-off value for pHS, patients were divided in two groups (severely affected and less severely affected) based on predictive mutations or on the age of full loss of speech. Receiver operator characteristics (ROC) were obtained for pHS.
pHS and uGAGs were independently and linearly associated with an increased risk of speech loss with a HR of 1.8 (95 % CI 1.3-2.7) per 500 ng/ml increase of HS in plasma (p = 0.002), and a HR of 2.7 (95 % CI 1.6-4.4) per 10 mg/mmol creatinine increase of uGAGs (p < 0.001). pHS and uGAGS were less strongly associated with loss of walking. The area under the ROC curve for pHS was 0.85, indicating good discrimination.
pHS and uGAGs may be useful biomarkers for prediction of severity in MPS III.
黏多糖贮积症 III 型(Sanfilippo 病,Mucopolysaccharidosis III)是一种神经退行性溶酶体贮积病,其特征是糖胺聚糖硫酸乙酰肝素(heparan sulfate,HS)的积累。MPS III 具有较大的表型变异性,因此早期评估疾病严重程度较为困难。我们对 44 例 MPS III 患者的横断面队列进行了研究,以评估 HS 血浆浓度(pHS,定义为酶消化后获得的肝素硫酸衍生二糖的总和)与尿总糖胺聚糖水平(uGAGs,二甲基亚蓝试验测定)与疾病严重程度之间的相关性。
根据所有患者完全丧失独立行走能力和完全丧失言语能力的年龄确定疾病严重程度。采用 cox 回归分析获得危险比(Hazard ratios,HR)。为了基于 pHS 的截断值预测严重表型,根据预测性突变或完全丧失言语的年龄,将患者分为两组(严重受影响和较不严重受影响)。绘制 pHS 的受试者工作特征曲线(Receiver operator characteristics,ROC)。
pHS 和 uGAGs 与丧失言语能力的风险呈独立线性相关,血浆 HS 每增加 500ng/ml,风险增加 1.8 倍(95%CI 1.3-2.7;p=0.002),uGAGs 每增加 10mg/mmol 肌酐,风险增加 2.7 倍(95%CI 1.6-4.4;p<0.001)。pHS 和 uGAGs 与丧失行走能力的相关性较弱。pHS 的 ROC 曲线下面积为 0.85,表明具有良好的区分度。
pHS 和 uGAGs 可能是预测 MPS III 严重程度的有用生物标志物。