Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA.
Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA; Axsome Therapeutics, New York, NY, USA.
Sleep Health. 2024 Feb;10(1S):S161-S169. doi: 10.1016/j.sleh.2023.06.008. Epub 2023 Aug 9.
We used a high-throughput assay of 5000 plasma proteins to identify biomarkers associated with periodic limb movements (PLM) and restless legs syndrome (RLS) in adults.
Participants (n = 1410) of the Stanford Technology Analytics and Genomics in Sleep (STAGES) study had blood collected, completed a sleep questionnaire, and underwent overnight polysomnography with the scoring of PLMs. An aptamer-based array (SomaScan) was used to quantify 5000 proteins in plasma. A second cohort (n = 697) that had serum assayed using a previous iteration of SomaScan (1300 proteins) was used for replication and in a combined analysis (n = 2107). A 5% false discovery rate was used to assess significance.
Multivariate analyses in STAGES identified 68 proteins associated with the PLM index after correction for multiple testing (ie, base model). Most significantly decreased proteins were iron-related and included Hepcidin (LEAP-1), Ferritin, and Ferritin light chain. Most significantly increased proteins included RANTES, Cathepsin A, and SULT 1A3. Of 68 proteins significant in the base model, 17 were present in the 1300 panel, and 15 of 17 were replicated. The most significant proteins in the combined model were Hepcidin (LEAP-1), Cathepsin A, Ferritin, and RANTES. Exploration of proteins in RLS versus non-RLS identified Cathepsin Z, Heme oxygenase 2 (HO-2), Interleukin-17A (upregulated in the combined cohort), and Megalin (upregulated in STAGES only) although results were less significant than for proteins associated with PLM index.
These results confirm the association of PLM with low iron status and suggest the involvement of catabolic enzymes in PLM/RLS.
我们使用高通量检测 5000 种血浆蛋白的方法,鉴定与成人周期性肢体运动(PLM)和不宁腿综合征(RLS)相关的生物标志物。
斯坦福技术分析与睡眠基因组学(STAGES)研究的参与者(n=1410)采集血液样本,完成睡眠问卷,并接受整夜多导睡眠图检查,同时对 PLM 进行评分。我们使用基于适配体的阵列(SomaScan)定量检测血浆中的 5000 种蛋白质。第二个队列(n=697)使用以前迭代的 SomaScan(检测 1300 种蛋白质)检测血清,用于复制和综合分析(n=2107)。我们使用 5%的错误发现率评估显著性。
在 STAGES 中,经过多次测试校正(即基础模型),多变量分析确定了 68 种与 PLM 指数相关的蛋白质。显著降低的蛋白质主要与铁有关,包括 Hepcidin(LEAP-1)、铁蛋白和铁蛋白轻链。显著增加的蛋白质包括 RANTES、组织蛋白酶 A 和 SULT1A3。在基础模型中,有 68 种蛋白质具有统计学意义,其中 17 种存在于 1300 个蛋白中,有 15 种得到了复制。在综合模型中最显著的蛋白质是 Hepcidin(LEAP-1)、组织蛋白酶 A、铁蛋白和 RANTES。在 RLS 与非 RLS 患者中,我们发现组织蛋白酶 Z、血红素加氧酶 2(HO-2)、白细胞介素-17A(在联合队列中上调)和巨球蛋白(仅在 STAGES 中上调)与 Cathepsin Z、血红素加氧酶 2(HO-2)、白细胞介素-17A(在联合队列中上调)和巨球蛋白(仅在 STAGES 中上调)有关,尽管结果不如与 PLM 指数相关的蛋白质显著。
这些结果证实了 PLM 与铁状态低下的相关性,并提示分解代谢酶可能参与 PLM/RLS。