筛查循环炎症蛋白并不能揭示持续性耳鸣的血浆生物标志物

Christopher R. Cederroth, Mun-Gwan Hong, Maxim B. Freydin, Niklas K. Edvall, Natalia Trpchevska, Carlotta Jarach, Winfried Schlee, Jochen M. Schwenk, Jose-Antonio Lopez-Escamez, Silvano Gallus, Barbara Canlon, Jan Bulla, Frances M. K. Williams
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摘要

背景和目的耳鸣将受益于客观的生物标志物。本研究的目的是在选定的循环炎症蛋白中确定持续性耳鸣和慢性耳鸣的血浆生物标志物。方法对瑞典耳鸣拓展项目(STOP)中的 548 例持续性耳鸣病例和 548 例匹配对照进行病例对照回顾性研究,并使用 Olink 炎症面板对其血浆样本进行检测。对来自英国双胞胎队列的样本采用相同的方法进行了复制和荟萃分析。在斯德哥尔摩和于默奥采集血液的 LifeGene 参与者被招募到 STOP 进行耳鸣亚型研究。在个体水平上进行了年龄和性别匹配。TwinsUK 的参与者(n = 928)是根据 2-10 年间自我报告的耳鸣状况选出的。主要结果包括 96 种循环蛋白的归一化水平,这些蛋白被用作指标测试。结果在对年龄、性别、体重指数(BMI)、吸烟、听力损失和实验室部位进行调整后,发现的首要蛋白质为 FGF-21、MCP4、GDNF、CXCL9 和 MCP-1;但是,在对多重测试进行校正后,这些蛋白质不再具有统计学意义。按性别进行的分层没有发现任何明显的关联。同样,与听力损失或其他耳鸣相关并发症(如压力、焦虑、抑郁、听力减退、颞下颌关节紊乱和头痛)的关联也没有产生任何显著关联。在 TwinsUK 中进行的分析未能复制最重要的候选者。对 STOP 和 TwinsUK 的元分析未发现任何显著关联。使用弹性网正则化,基于炎症标志物的模型对耳鸣的预测能力较差[灵敏度 = 0.52(95% CI 0.47-0.57),特异性 = 0.53(0.48-0.58),阳性预测值 = 0.52(0.47-0.56),阴性预测值 = 0.53(0.49-0.58),AUC = 0.53(0.49-0.56)]。未来的研究将对更严重耳鸣患者的纵向关系进行检查,并使用最新的扩展蛋白质组学平台和脑脊液采样,这将增加确定相关分子生物标志物的可能性。
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Screening for Circulating Inflammatory Proteins Does Not Reveal Plasma Biomarkers of Constant Tinnitus

Background and Objective

Tinnitus would benefit from an objective biomarker. The goal of this study is to identify plasma biomarkers of constant and chronic tinnitus among selected circulating inflammatory proteins.

Methods

A case–control retrospective study on 548 cases with constant tinnitus and 548 matched controls from the Swedish Tinnitus Outreach Project (STOP), whose plasma samples were examined using Olink’s Inflammatory panel. Replication and meta-analysis were performed using the same method on samples from the TwinsUK cohort. Participants from LifeGene, whose blood was collected in Stockholm and Umeå, were recruited to STOP for a tinnitus subtyping study. An age and sex matching was performed at the individual level. TwinsUK participants (n = 928) were selected based on self-reported tinnitus status over 2 to 10 years. Primary outcomes include normalized levels for 96 circulating proteins, which were used as an index test. No reference standard was available in this study.

Results

After adjustment for age, sex, BMI, smoking, hearing loss, and laboratory site, the top proteins identified were FGF-21, MCP4, GDNF, CXCL9, and MCP-1; however, these were no longer statistically significant after correction for multiple testing. Stratification by sex did not yield any significant associations. Similarly, associations with hearing loss or other tinnitus-related comorbidities such as stress, anxiety, depression, hyperacusis, temporomandibular joint disorders, and headache did not yield any significant associations. Analysis in the TwinsUK failed in replicating the top candidates. Meta-analysis of STOP and TwinsUK did not reveal any significant association. Using elastic net regularization, models exhibited poor predictive capacity tinnitus based on inflammatory markers [sensitivity = 0.52 (95% CI 0.47–0.57), specificity = 0.53 (0.48–0.58), positive predictive value = 0.52 (0.47–0.56), negative predictive values = 0.53 (0.49–0.58), and AUC = 0.53 (0.49–0.56)].

Discussion

Our results did not identify significant associations of the selected inflammatory proteins with constant tinnitus. Future studies examining longitudinal relations among those with more severe tinnitus and using more recent expanded proteomics platforms and sampling of cerebrospinal fluid could increase the likelihood of identifying relevant molecular biomarkers.

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