Hôpital Jean-Verdier, Assistance Publique-Hôpitaux de Paris, Université Paris XIII, 93140 Bondy Cedex, France.
Arthritis Res Ther. 2010;12(4):R156. doi: 10.1186/ar3111. Epub 2010 Aug 9.
Known biomarkers of Gaucher-disease activity are platelets, chitotriosidase, angiotensin-converting enzyme (ACE), tartrate-resistant acid phosphatase (TRAP) and ferritin. The aim of this study was to retrospectively evaluate the frequency of bone events (BE) and biomarker changes during two periods: diagnosis to first enzyme-replacement therapy (ERT) and the latter to the closing date.
BE of 62 treated patients, among the 73-patient cohort followed at Beaujon Hospital, Clichy, France, were described with Kaplan-Meier curves, and linear-mixed models were used to analyze their biomarker changes and the influence of several covariates (splenectomy, diagnosis year, genotype, age at diagnosis and sex).
BE occurred before (54 events in 21 patients), but also during, ERT (12 events in 10 patients), with respective frequencies (95% confidence interval) at 10 years of 22.4% (13.3 to 36.3) and 20.0% (10.2 to 36.9). Biomarker slope changes before and during ERT differed significantly for platelets (+190/mm3/year and 7,035/mm3/year, respectively; P < 0.0001) and ferritin (+4% and -14%; P < 0.0001). High ferritin levels and low platelet counts at ERT onset were significantly associated with BE during ERT (P = 0.019 and 0.039, respectively). Covariates significantly influenced biomarker changes (baseline and/or slope): splenectomy affected platelets (baseline and changes), TRAP changes and chitotriosidase changes; diagnosis date influenced ACE and TRAP baseline values; and genotype influenced chitotriosidase baseline and changes.
Platelet counts and ferritin levels and their slope changes at ERT onset seem to predict BE during treatment. Biomarker baseline values and changes are dependent on several covariables.
戈谢氏病活性的已知生物标志物是血小板、壳三糖苷酶、血管紧张素转换酶(ACE)、抗酒石酸酸性磷酸酶(TRAP)和铁蛋白。本研究的目的是回顾性评估两个时期的骨骼事件(BE)和生物标志物变化:从诊断到首次酶替代治疗(ERT)和后者到截止日期。
描述了法国克利希博讷医院 73 例患者队列中 62 例治疗患者的 BE,采用 Kaplan-Meier 曲线,并使用线性混合模型分析了他们的生物标志物变化以及几个协变量(脾切除术、诊断年份、基因型、诊断年龄和性别)的影响。
ERT 前(21 例患者中有 54 例事件)和 ERT 期间(10 例患者中有 12 例事件)发生了 BE,相应的 10 年发生率(95%置信区间)分别为 22.4%(13.3 至 36.3)和 20.0%(10.2 至 36.9)。ERT 前和 ERT 期间血小板(分别为+190/mm3/年和+7035/mm3/年)和铁蛋白(分别为+4%和-14%)的生物标志物斜率变化差异有统计学意义(P<0.0001)。ERT 开始时铁蛋白水平高和血小板计数低与 ERT 期间的 BE 显著相关(P=0.019 和 0.039)。协变量对生物标志物变化(基线和/或斜率)有显著影响:脾切除术影响血小板(基线和变化)、TRAP 变化和壳三糖苷酶变化;诊断日期影响 ACE 和 TRAP 基线值;基因型影响壳三糖苷酶基线和变化。
ERT 开始时血小板计数和铁蛋白水平及其斜率变化似乎可以预测治疗期间的 BE。生物标志物的基线值和变化取决于几个协变量。