Guay-Bélanger Sabrina, Simonyan David, Bureau Alexandre, Gagnon Edith, Albert Caroline, Morissette Jean, Siris Ethel S, Orcel Philippe, Brown Jacques P, Michou Laëtitia
CHU de Québec Research Centre, Quebec, QC, Canada; Division of Rheumatology, Department of Medicine, Université Laval, Quebec, QC, Canada.
CHU de Québec Research Centre, Quebec, QC, Canada.
Bone. 2016 Mar;84:213-221. doi: 10.1016/j.bone.2016.01.007. Epub 2016 Jan 6.
Depending on populations, 15 to 40% of patients have a familial form of Paget's disease of bone (PDB), which is transmitted in an autosomal-dominant mode of inheritance with incomplete penetrance. To date, only SQSTM1 gene mutations have been linked to the disease. Several single nucleotide polymorphisms (SNPs) have been associated with PDB in patient non-carriers of SQSTM1 mutations, but they have minor size effects. The current clinical practice guidelines still recommend to measure total serum alkaline phosphatase (sALP) for PDB screening. However, genetic or bone biomarkers alone may lack sensitivity to detect PDB. Thus, the objective of this study was to develop a molecular test of PDB, combining genetic and bone biomarkers, in order to detect PDB, which is frequently asymptomatic. We genotyped 35 SNPs previously associated with PDB in 305 patients, and 292 healthy controls. In addition, serum levels of 14 bone biomarkers were assayed in 51 patients and 151 healthy controls. Bivariate and multivariate logistic regression models with adjustment for age and sex were fitted to search for a combination of SNPs and/or bone biomarkers that could best detect PDB in patient non-carriers of SQSTM1 mutations. First, a combination of five genetic markers gave rise to the highest area under the ROC curve (AUC) with 95% confidence interval [95% CI] of 0.731 [0.688; 0.773], which allowed us to detect 81.5% of patients with PDB. Second, a combination of two bone biomarkers had an AUC of 0.822 [0.726; 0.918], and was present in 81.5% of patients with PDB. Then, the combination of the five genetic markers and the two bone biomarkers increased the AUC up to 0.892 [0.833; 0.951], and detected 88.5% of patients with PDB. These results suggested that an algorithm integrating first a screen for SQSTM1 gene mutations, followed by either a genetic markers combination or a combined genetic and biochemical markers test in patients non-carrier of any SQSTM1 mutation, may detect the PDB phenotype better than biomarkers already available in the clinical practice.
根据人群不同,15%至40%的患者患有家族性骨Paget病(PDB),该病以常染色体显性遗传模式传递,且具有不完全外显率。迄今为止,只有SQSTM1基因突变与该病有关。在SQSTM1突变的非携带者患者中,有几种单核苷酸多态性(SNP)与PDB相关,但它们的效应大小较小。目前的临床实践指南仍建议检测总血清碱性磷酸酶(sALP)以进行PDB筛查。然而,仅靠基因或骨生物标志物可能缺乏检测PDB的敏感性。因此,本研究的目的是开发一种PDB的分子检测方法,结合基因和骨生物标志物,以检测通常无症状的PDB。我们对305例患者和292例健康对照者进行了35个先前与PDB相关的SNP基因分型。此外,对51例患者和151例健康对照者检测了14种骨生物标志物的血清水平。采用年龄和性别调整后的双变量和多变量逻辑回归模型,寻找能在SQSTM1突变的非携带者患者中最佳检测PDB的SNP和/或骨生物标志物组合。首先,五个遗传标记的组合产生了最高的ROC曲线下面积(AUC),95%置信区间[95%CI]为0.731[0.688;0.773],这使我们能够检测出81.5%的PDB患者。其次,两种骨生物标志物的组合AUC为0.822[0.726;0.918],在81.5%的PDB患者中存在。然后,五个遗传标记和两种骨生物标志物的组合将AUC提高到0.892[0.833;0.951],并检测出88.5%的PDB患者。这些结果表明,一种算法先筛查SQSTM1基因突变,然后在任何SQSTM1突变的非携带者患者中进行遗传标记组合或遗传与生化标记联合检测,可能比临床实践中现有的生物标志物能更好地检测PDB表型。